500 results on '"Institut national du sport, de l'expertise et de la performance (INSEP)"'
Search Results
2. Course effrénée aux images de meilleure qualité, à quel prix ?
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SCHORTGEN, Alexandre, Reveret, Lionel, Saulière, Guillaume, Muller, Antoine, Goyallon, Thibault, Moussa, Issa, Toussaint, Jean-François, Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire de Biomécanique et Mécanique des Chocs (LBMC UMR T9406 ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Gustave Eiffel, and Inria-DFKI
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Bitrate compreesion ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,High level sport practice ,Computer Vision ,Boxing ,Pose estimation - Abstract
International audience; When implementing computer vision algorithms, the quality of the video input is a crucial parameter for systematic application as :• Training and inference conditions of Deep Learning models may differ.• Video quality may be downgraded due to sourcing or transfer encoding.• Storage capacity may limit the volume/quantity of data available.To better understand the sensitivity of inference with regarding video quality, we investigated the effect of video compression on the output of a human pose estimation network model.
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- 2022
3. Digital phenotyping in young breast cancer patients treated with neoadjuvant chemotherapy (the NeoFit Trial): protocol for a national, multicenter single-arm trial
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Lidia Delrieu, Anne-Sophie Hamy, Florence Coussy, Amyn Kassara, Bernard Asselain, Juliana Antero, Paul De Villèle, Elise Dumas, Nicolas Forstmann, Julien Guérin, Judicael Hotton, Christelle Jouannaud, Maud Milder, Armand Leopold, Adrien Sedeaud, Pauline Soibinet, Jean-François Toussaint, Vincent Vercamer, Enora Laas, Fabien Reyal, Residual Tumor & Response to Treatment Laboratory [Paris] (RT2Lab), Translational Research Department [Paris], Immunité et cancer (U932), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Immunité et cancer (U932), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Département d'Oncologie Médicale [Institut Curie, Paris], Institut Curie [Paris], Groupe d'Investigateurs Nationaux pour l'Étude des Cancers de l'Ovaire et du sein [Paris] (GINECO), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Withings [Issy-les-Moulineaux] (W), Institut national du sport, de l'expertise et de la performance (INSEP), CRLCC Jean Godinot, Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Département d'Oncologie Chirurgicale [Institut Curie], and Malbec, Odile
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Male ,Cancer Research ,Prevention ,[SDV]Life Sciences [q-bio] ,Breast Neoplasms ,Digital ,Neoadjuvant Therapy ,[SDV] Life Sciences [q-bio] ,Oncology ,Antineoplastic Combined Chemotherapy Protocols ,Quality of Life ,Genetics ,Humans ,Multicenter Studies as Topic ,Female ,Prospective Studies ,Neoadjuvant ,Activity trackers - Abstract
Background Breast cancer (BC) has particular characteristics in young women, with diagnosis at more advanced stages, a poorer prognosis and highly aggressive tumors. In NeoFit, we will use an activity tracker to identify and describe various digital profiles (heart rate, physical activity, and sleep patterns) in women below the age of 45 years on neoadjuvant chemotherapy for BC. Methods NeoFit is a prospective, national, multicenter, single-arm open-label study. It will include 300 women below the age of 45 years treated with neoadjuvant chemotherapy for BC. Participants will be asked to wear a Withing Steel HR activity tracker round the clock for 12 months. The principal assessments will be performed at baseline, at the end of neoadjuvant chemotherapy and at 12 months. We will evaluate clinical parameters, such as toxicity and the efficacy of chemotherapy, together with quality of life, fatigue, and parameters relating to lifestyle and physical activity. The women will complete REDCap form questionnaires via a secure internet link. Discussion In this study, the use of an activity tracker will enable us to visualize changes in the lifestyle of young women on neoadjuvant chemotherapy for BC, over the course of a one-year period. This exploratory study will provide crucial insight into the digital phenotypes of young BC patients on neoadjuvant chemotherapy and the relationship between these phenotypes and the toxicity and efficacy of treatment. This trial will pave the way for interventional studies involving sleep and physical activity interventions. Trial registration Clinicaltrials.gov identifier: NCT05011721. Registration date: 18/08/2021.
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- 2022
4. Non-targeted metabolomics analyses by mass spectrometry to explore metabolic stress after six training weeks in high level swimmers
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Delphine Centeno, Marion Brandolini-Bunlon, Stéphanie Durand, Jean-François Toussaint, Estelle Pujos-Guillot, Robin Pla, David B. Pyne, Philippe Hellard, Institut national du sport, de l'expertise et de la performance (INSEP), Research Service, French Swimming Federation, Paris, France, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Université Clermont Auvergne (UCA), MetaboHUB, Plateforme d’Exploration du Métabolisme, Université Clermont Auvergne, University of Canberra, CREPS Bordeaux Aquitaine, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Ministere des sports, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), MetaboHUB-Clermont, and MetaboHUB
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Male ,MESH: Fatigue ,MESH: Inflammation ,MESH: Swimming ,MESH: Random Allocation ,[SDV]Life Sciences [q-bio] ,MESH: Glycogen ,Physiology ,Mass Spectrometry ,Cresols ,Random Allocation ,0302 clinical medicine ,MESH: Osmolar Concentration ,Medicine ,Orthopedics and Sports Medicine ,MESH: Metabolomics ,MESH: Stress, Physiological ,MESH: Athletes ,Fatigue ,Cross-Over Studies ,MESH: Carnitine ,metabolomics ,periodization ,MESH: Cresols ,Pregnanediol ,Female ,MESH: Butyric Acid ,Glycogen ,Adolescent ,030209 endocrinology & metabolism ,Physical Therapy, Sports Therapy and Rehabilitation ,Sulfuric Acid Esters ,MESH: Cross-Over Studies ,MESH: Sulfuric Acid Esters ,03 medical and health sciences ,Metabolomics ,Stress, Physiological ,Carnitine ,Humans ,Metabolic Stress ,Lactic Acid ,Swimming ,Inflammation ,MESH: Adolescent ,MESH: Mass Spectrometry ,MESH: Humans ,business.industry ,Osmolar Concentration ,030229 sport sciences ,MESH: Male ,Non targeted metabolomics ,Athletes ,Butyric Acid ,MESH: Pregnanediol ,MESH: Lactic Acid ,business ,MESH: Female - Abstract
International audience; The objective was to compare the metabolic responses of high-level national swimmers to threshold or polarised training. 22 swimmers (n = 12 males and 10 females) participated in a 28-week cross-over intervention study consisting of 2 × 6 period weeks of training. Swimmers were assigned randomly to either training group for the first period: polarised (POL) (81% in energetic zone 1: blood lactate [La]b ≤ 2 mmol.L-1; 4% in zone 2: 2 mmol.L-1 4 mmol.L-1) or threshold (THR) (65%/25%/10%). Before and after each training period, urine samples were collected for non-targeted metabolomics analysis. Mixed model analysis was performed on metabolomics data including fatigue class factors and/or training and/or interaction. Ion intensities of 6-keto-decanoylcarnitine (+31%), pregnanediol-3-glucuronide (+81%), P-cresol sulphate (+18%) were higher in the threshold group (P
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- 2021
5. How Did the COVID-19 Confinement Period Affect Our Physical Activity Level and Sedentary Behaviors? Methodology and First Results From the French National ONAPS Survey
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Céline Lambert, David Thivel, Bruno Pereira, Martine Duclos, Benjamin Larras, Julien S. Baker, Jean-François Toussaint, Angelo Tremblay, Pauline Genin, Observatoire national de l’activité physique et de la sédentarité (ONAPS), Laboratory of Metabolic Adaptations to Exercise in Physiological and Pathological Conditions, Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Unité de Biostatistiques [CHU Clermont-Ferrand], Direction de la recherche clinique et de l’innovation [CHU Clermont-Ferrand] (DRCI), CHU Clermont-Ferrand-CHU Clermont-Ferrand, Observatoire national de l'Activité Physique et de la santé (ONAPS), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Centre d'Investigation en Médecine du sport (CIMS), Hôtel-Dieu-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Ningbo University (NBU), Hong Kong Baptist University (HKBU), Institut des Nutraceutiques et des Aliments Fonctionnels (INAF), Université Laval [Québec] (ULaval), Université Clermont Auvergne (UCA), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Dept Sport Med and Funct Explorat, CHU Clermont-Ferrand, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Coronavirus disease 2019 (COVID-19) ,Population ,Affect (psychology) ,Screen Time ,lockdown ,Young Adult ,03 medical and health sciences ,Screen time ,0302 clinical medicine ,Surveys and Questionnaires ,Epidemiology ,medicine ,Humans ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Young adult ,Child ,education ,habits ,Exercise ,Aged ,Sitting Position ,education.field_of_study ,[SHS.SPORT]Humanities and Social Sciences/Sport ,business.industry ,Public health ,pandemic ,public health ,COVID-19 ,030229 sport sciences ,Middle Aged ,Physical activity level ,Communicable Disease Control ,Female ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,France ,Sedentary Behavior ,business ,Demography - Abstract
Background: The French National Observatory for Physical Activity and Sedentary Behaviors conducted a national survey aiming to evaluate the potential effects of confinement on the population’s physical activity levels and sedentary behaviors. Methods: In close collaboration with the French Ministry of Sports and a selected expert committee, 3 different questionnaires investigating 3 subgroup populations were included in the survey: (1) children, (2) adolescents, and (3) adults. Results: Forty-two percentage of children, 58.7% of adolescents, 36.4% of adults, and 39.2% of older people had reduced physical activity levels. Particularly, active transportation and endurance practices showed a significant decrease, while domestic, muscular strengthening, and flexibility activities increased. Sitting time and screen time increased, respectively, in 36.3% and 62.0% of children, 25.5% and 69.0% in adolescents, 24.6% and 41.0% in adults, and 36.1% and 32.1% in seniors. Conclusion: The COVID-19 confinement period led to important modifications in individual movement behaviors at all ages, particularly favoring decreased physical activity and increased sedentariness. These findings suggest that the authors need to inform and encourage people to maintain and improve their physical activities and to change their sedentary time habits during postconfinement and during the period of a potential future lockdown.
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- 2021
6. Involvement in Multiple Race Events Among International Para and Non-disabled Swimmers
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Julien Schipman, Guillaume Saulière, Bryan Le Toquin, Andy Marc, Nicolas Forstmann, Jean-François Toussaint, Adrien Sedeaud, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Centre d'Investigation en Médecine du sport (CIMS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu
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0301 basic medicine ,Population ,disabled athletes ,[SHS.SPORT.HANDI]Humanities and Social Sciences/Sport/Disability sports ,Paralympic swimmers ,[SHS.SPORT.DS]Humanities and Social Sciences/Sport/Sports ,impairment classification ,World class ,lcsh:GV557-1198.995 ,03 medical and health sciences ,Race (biology) ,specialization ,0302 clinical medicine ,education ,network analysis ,Original Research ,lcsh:Sports ,International level ,education.field_of_study ,[SHS.SPORT]Humanities and Social Sciences/Sport ,biology ,Athletes ,General Medicine ,030229 sport sciences ,biology.organism_classification ,Swimming speed ,030104 developmental biology ,age ,Sports and Active Living ,Psychology ,Demography - Abstract
International audience; International elite Para swimmers form a large portion of the overall multi-medalist winning population. For the highest performing Para swimmers, world class performances were achieved across different strokes. The aim of this study was to quantify the level of involvement across different events and to examine this in relation to the level of performance. The performances in swimming speed of the top 100 females and males for both Para- and non-disabled swimmers were collected in 11 race events between 2009 and 2019 (4,400 performances for 307 Para females and 365 Para males, 605 non-disabled females, and 715 non-disabled males). We tallied the number of events in which each swimmer was involved. Swimmers were grouped according to the total number of race events in which they participated. Then the association between involvement and level of performance was investigated. Para swimmers with impairment from classes seven to 14 were involved in a range of race events across different strokes. The most common combination for both Para and non-disabled athletes was over similarly distanced races of the same stroke (50 and 100 m freestyle). The more race events in which Para swimmers involved, the higher the level of performance that was achieved. This trend can partially be explained by the less concentrated competition pool for Para swimmers compared to able-bodied swimmers. Para swimmers with minimal and no physical impairment perform in multiple race events more often than able-bodied swimmers. Fewer Para swimmers at the international level and a less concentrated competition pool could explain these differences.
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- 2021
7. Importance of dimensional changes on glycolytic metabolism during growth
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Quentin De Larochelambert, Sébastien Ratel, Claire Thomas, Neil Armstrong, Allison Diry, Joffrey Bardin, Hugo Maciejewski, Fédération Française d'Aviron (FFA), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), University of Exeter, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Laboratoire de Biologie de l'Exercice pour la Performance et la Santé (LBEPS), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Institut de Recherche Biomédicale des Armées (IRBA), French Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA)
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Male ,medicine.medical_specialty ,Aging ,Adolescent ,Physiology ,Rowing ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,03 medical and health sciences ,Recovery period ,0302 clinical medicine ,Physiology (medical) ,Internal medicine ,Maturation ,medicine ,[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,Humans ,Orthopedics and Sports Medicine ,Glycolysis ,Accumulated oxygen deficit ,Blood markers ,Lactic Acid ,Child ,Exercise ,Chemistry ,Body Weight ,Public Health, Environmental and Occupational Health ,030229 sport sciences ,General Medicine ,Metabolism ,Human physiology ,Adolescent Development ,Oxygen deficit ,Endocrinology ,Lean body mass ,Lactate ,Allometric modelling ,030217 neurology & neurosurgery - Abstract
International audience; PurposeThe aim of the present study was to investigate (i) how glycolytic metabolism assessed by accumulated oxygen deficit (AODgly) and blood metabolic responses (lactate and pH) resulting from high-intensity exercise change during growth, and (ii) how lean body mass (LBM) influences AODgly and its relationship with blood markers.MethodsThirty-six 11- to 17-year olds performed a 60-s all-out test on a rowing ergometer. Allometric modelling was used to investigate the influence of LBM and LBM + maturity offset (MO) on AODgly and its relationship with the extreme post-exercise blood values of lactate ([La]max) and pH (pHmin) obtained during the recovery period.ResultsAODgly and [La]max increased while pHmin decreased linearly with LBM and MO (r2 = 0.46 to 0.72, p
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- 2020
8. Influence of environmental factors on Olympic cross-country mountain bike performance
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Quentin De Larochelambert, Florence Riera, Simon Fischer, Henri Meric, Franck Brocherie, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire Européen Performance Santé Altitude (LEPSA), Université de Perpignan Via Domitia (UPVD), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), and Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP)
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[SHS.SPORT]Humanities and Social Sciences/Sport ,Cross country ,Physiology ,Altitude ,Performance ,Off-road cycling ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,030229 sport sciences ,Heat ,03 medical and health sciences ,0302 clinical medicine ,13. Climate action ,Physiology (medical) ,Environmental science ,Physical geography ,Cycling ,Weather ,Call for Papers: Anticipating the Tokyo Olympic Games ,030217 neurology & neurosurgery ,Off road cycling - Abstract
Olympic distance cross-country cycling (XCO) is a discipline subject to wide performance variability due to uncontrollable environmental factors such as altitude, ambient temperature and/or humidity. This study therefore aimed to investigate the impact of environmental factors on XCO performance in under-23 and elite female and male categories. Individual data were collected from Continental Cup, World Cup, World Championship, and Olympics Games for U23 and elite female and male categories from 2009 to 2018. Factors included were race time (range: 55–157 min), average speed (range: 7.6–32.2 km/h), distance (range: 15.2–48.4 km), altitude (range: 50–2680 m), ambient temperature (range 7–41°C), relative and absolute humidity (range: 8–97% and 2.4–25.3 g/m(3), respectively), and categories. The analysis represents 10,966 individual data which indicate a continuous progression of the performance for all categories. Principal component analysis reveals that the slowest XCO performance was resulting from high ambient temperature and absolute humidity. Regressions revealed that only altitude (P
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- 2020
9. Acute kidney injury during an ultra-distance race
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Dany Anglicheau, Romain Jouffroy, Nicolas Mansencal, Xavier Lebreton, Anesthesiology and Intensive Care Unit [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-SAMU 75 [Paris]-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Department of Anesthesia, Clinical Epidemiology and Biostatistics [Hamilton, ON, Canada], Michael DeGroote School of Medicine [Hamilton, ON, Canada], Faculty of Health Sciences [Hamilton, ON, Canada], McMaster University [Hamilton, Ontario]-McMaster University [Hamilton, Ontario]-Faculty of Health Sciences [Hamilton, ON, Canada], McMaster University [Hamilton, Ontario]-McMaster University [Hamilton, Ontario], Perioperative Medicine and Surgical Research Unit [Hamilton, ON, Canada], David Braley Cardiac, Vascular and Stroke Research Institute [Hamilton, ON, Canada], Population Health Research Institute [Hamilton, ON, Canada]-Population Health Research Institute [Hamilton, ON, Canada], Laboratory of molecular mechanisms of hematologic disorders and therapeutic implications (ERL 8254 - Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IMAGINE - U1163), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service Néphrologie et transplantation rénale Adultes [CHU Necker], CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de cardiologie et maladies vasculaires [CHU Ambroise Paré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Ambroise Paré [AP-HP], Centre de Référence des Cardiomyopathies et des Troubles du Rythme Cardiaque Héréditaires ou Rares [Boulogne-Billancourt], Hôpital Ambroise Paré [AP-HP], Épidémiologie et recherches translationnelles sur les maladies rénales et cardiovasculaires (EPREC) (U1018 (Équipe 5)), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Bodescot, Myriam, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)
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Adult ,Male ,Physiology ,Science ,030232 urology & nephrology ,Renal function ,Urine ,030204 cardiovascular system & hematology ,Biochemistry ,[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology ,Running ,03 medical and health sciences ,Race (biology) ,chemistry.chemical_compound ,0302 clinical medicine ,Complete regression ,Chronic Kidney Disease ,medicine ,Medicine and Health Sciences ,Humans ,Creatinine ,Multidisciplinary ,business.industry ,Significant difference ,Acute kidney injury ,Biology and Life Sciences ,Kidneys ,Renal System ,Acute Kidney Injury ,medicine.disease ,[SDV.MHEP.UN] Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology ,Body Fluids ,Urinary Biomarkers ,Blood ,chemistry ,Nephrology ,Creatinine increased ,Medicine ,Anatomy ,business ,Biomarkers ,Research Article - Abstract
International audience; PURPOSE:Previous studies have noted consequences of ultra-distance trail running on health, but few studies are available regarding the temporal variations of renal biomarker injury during the running. The aim of this study was to assess the of kidney function parameters temporal variation during and on short-term after an ultra-distance race.METHODS:We performed an observational study with 47 subjects participating in an ultra-distance race (80 km). Urine (47 subjects) and blood (21 subjects) samples were serially collected before (baseline-km 0), during (21 and 53 km), on arrival (80 km), and 9 days after the race (d9).RESULTS:Mean serum creatinine increased during the race from 90±14 μmol/L (km0) to 136±32 μmol/L (km 80-p0.05). On day 9, no significant difference remains in blood and urine biomarkers compared to their respective baseline levels.CONCLUSIONS:During an ultra-distance race, despite an acute and transient increase in the serum creatinine levels, urinary biomarkers of AKI displayed only limited changes with a complete regression on day 9. These results suggest the absence of the short-term impact of an ultra-distance race kidney function.
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- 2019
10. Iron metabolism is differently regulated depending on muscle fiber phenotype
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Martin, David J. R., Nay, Kevin, Robin, Francois, Ghukasyan, Gevorg, Dufresne, Suzanne, Noirez, Philippe, Island, Marie-Laure, Ropert, Martine, Olivier Loreal, Rebillard, Amelie, Derbre, Frederic, Université de Rennes 2 (UR2), Dynamique Musculaire et Métabolisme (DMEM), Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM), Université de Rennes (UR), Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Université de Rennes (UNIV-RENNES), Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Université de Rennes 1 (UR1), INSEP IRMES, Partenaires INRAE, Laboratoire Mouvement Sport Santé (M2S), École normale supérieure - Cachan (ENS Cachan)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Nutrition, Métabolismes et Cancer (NuMeCan), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Performance, Santé, Métrologie, Société - EA 7507 (PSMS), and Université de Reims Champagne-Ardenne (URCA)
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[SDV]Life Sciences [q-bio] ,[INFO]Computer Science [cs] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
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- 2019
11. Epidemiology of Judo-Related Injuries in 21 Seasons of Competitions in France: A Prospective Study of Relevant Traumatic Injuries
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Frédéric Dor, Jean-François Toussaint, Michel D. Crema, A Frey, Laurie-Anne Marquet, Benoit Vesselle, Romain Rousseau, Christophe Lambert, CHI Poissy-Saint-Germain, Hôpital universitaire Robert Debré [Reims], Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Aix Marseille Université (AMU), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5), and CHU Saint-Antoine [APHP]
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medicine.medical_specialty ,Poison control ,Suicide prevention ,Article ,Occupational safety and health ,sprain ,03 medical and health sciences ,0302 clinical medicine ,Injury prevention ,Epidemiology ,medicine ,Orthopedics and Sports Medicine ,Prospective cohort study ,judo ,030222 orthopedics ,dislocation ,business.industry ,Incidence (epidemiology) ,Human factors and ergonomics ,030229 sport sciences ,fracture ,Physical therapy ,epidemiology ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business ,human activities - Abstract
Background: Judo is a full-contact fighting sport that may lead to severe injuries. There are limited data available on the incidence of judo-related injuries. The French Judo Federation has established a surveillance system to document the frequency and type of injuries during judo competitions. Purpose: To describe the incidence rates and types of judo-related traumatic injuries during 21 seasons of competitions in France with respect to athlete (judoka) age, sex, and level of performance. Study Design: Descriptive epidemiology study. Methods: Between 1993 and 2014, each physician in charge of each judo competition filled out a form in which he/she documented the number of competing judokas, the number of fights, the number of medical interventions, the specific type of traumatic injuries for each intervention, the number of fight interruptions, and the number of athletes removed from the competition venue because of an injury. The age, sex, and level of performance of each judoka were also documented. Variance analysis was applied to assess whether differences in incidence rates of injuries between groups were significant (Student t test and chi-square test). Results: Surveillance of 421,670 fights demonstrated 3511 injuries in 316,203 judokas (incidence proportion, 1.1%). Among the injuries recorded, the most common were sprains (54.3%), fractures (15.6%), and dislocations (12.5%). Female athletes exhibited significantly higher incidence rates for knee sprains and elbow dislocations, whereas male athletes exhibited a higher incidence rate for shoulder dislocations ( P < .001 for all). Regarding age, higher incidence rates were observed in young adults (aged 18-20 years) for acromioclavicular sprains and in children (aged 10-14 years) for clavicle fractures compared with adults (aged 21-35 years) ( P < .001 for both). Both young adult and adult athletes had a higher incidence rate of shoulder dislocations ( P < .001). Regarding the level of performance, athletes competing at higher levels had a higher incidence rate of sprains to the knee ( P < .001). Conclusion: During 21 years of surveillance of injuries in judo competitions in France, the incidence proportion of injuries was 1.1%. Significant differences in incidence rates demonstrated when considering age, sex, and level of performance may help in developing strategies to prevent traumatic injuries in the future.
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- 2019
12. Srf KO and wild-type mice similarly adapt to endurance exercise
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Athanassia Sotiropoulos, Philippe Noirez, Dario Coletti, Nissrine Daou, Haidar Djemai, Zhenlin Li, Medhi Hassani, Université Paris Descartes - Paris 5 (UPD5), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Sorbonne Université (SU), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Interuniversity Institute of Myology, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Performance, Santé, Métrologie, Société - EA 7507 (PSMS), Université de Reims Champagne-Ardenne (URCA), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Quaireau, Valérie, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA)
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medicine.medical_specialty ,genetic structures ,Performance ,[SHS.SPORT.PS] Humanities and Social Sciences/Sport/Sport physiology ,lcsh:Medicine ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,Physical exercise ,Biology ,Article ,lcsh:QM1-695 ,Exercise training ,03 medical and health sciences ,0302 clinical medicine ,Endurance training ,VO2 ,Internal medicine ,exercise training ,serum response factor ,V̇O2 ,RER ,performance ,Serum response factor ,medicine ,Aerobic exercise ,Orthopedics and Sports Medicine ,Respiratory exchange ratio ,Molecular Biology ,Aerobic capacity ,lcsh:R ,Skeletal muscle ,lcsh:Human anatomy ,030229 sport sciences ,Cell Biology ,medicine.disease ,musculoskeletal system ,eye diseases ,medicine.anatomical_structure ,Endocrinology ,Exercice training ,Endurance Exercise ,Sarcopenia ,embryonic structures ,cardiovascular system ,Neurology (clinical) ,030217 neurology & neurosurgery - Abstract
International audience; Physical exercise has important effects as secondary prevention or intervention against several diseases. Endurance exercise induces local and global effects, resulting in skeletal muscle adaptations to aerobic activity and contributes to an amelioration of muscle performance. Furthermore, it prevents muscle loss. Serum response factor (Srf) is a transcription factor of pivotal importance for muscle tissues and animal models of Srf genetic deletion/over-expression are widely used to study Srf role in muscle homeostasis, physiology and pathology. A global characterisation of exercise adaptation in the absence of Srf has not been reported. We measured body composition, muscle force, running speed, energy expenditure and metabolism in WT and inducible skeletal muscle-specific Srf KO mice, following three weeks of voluntary exercise by wheel running. We found a major improvement in the aerobic capacity and muscle function in WT mice following exercise, as expected, and no major differences were observed in Srf KO mice as compared to WT mice, following exercise. Taken together, these observations suggest that Srf is not required for an early (within 3 weeks) adaptation to spontaneous exercise and that Srf KO mice behave similarly to the WT in terms of spontaneous physical activity and the resulting adaptive responses. Therefore, Srf KO mice can be used in functional muscle studies, without the results being affected by the lack of Srf. Since lack of Srf induces premature sarcopenia, our observations suggest that the modifications due to the absence of Srf take time to occur and that young, Srf KO mice behave similarly to WT in aerobic physical activities.
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- 2019
13. Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performance: Insights Into Periodization From a 20-Years Cohort
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Philippe Hellard, Marta Avalos-Fernandes, Gaelle Lefort, Robin Pla, Inigo Mujika, Jean-François Toussaint, David B. Pyne, Fédération Française de Natation (FFN), CREPS Bordeaux Aquitaine, Centre d’études des transformations des activités physiques et sportives (CETAPS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Université de Bordeaux (UB), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Universidad Finis Terrae, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Centre d'Investigation en Médecine du sport (CIMS), Hôtel-Dieu-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), University of Canberra, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Université Sorbonne Paris Cité (USPC), Hôpital Hôtel-Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Avalos, Marta
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latent class mixed models ,velocity ,Physiology ,latent class mixed models intensity distribution ,education ,training distribution ,[SHS.SPORT.DS]Humanities and Social Sciences/Sport/Sports ,Biology ,limitations ,[STAT.CO] Statistics [stat]/Computation [stat.CO] ,[SHS.SPORT.DS] Humanities and Social Sciences/Sport/Sports ,lcsh:Physiology ,competitive performance ,03 medical and health sciences ,0302 clinical medicine ,Animal science ,[STAT.AP] Statistics [stat]/Applications [stat.AP] ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,Physiology (medical) ,Maximal strength ,Blood lactate ,Training load ,swimming ,[STAT.CO]Statistics [stat]/Computation [stat.CO] ,ComputingMilieux_MISCELLANEOUS ,health care economics and organizations ,Original Research ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[STAT.ME] Statistics [stat]/Methodology [stat.ME] ,model ,lcsh:QP1-981 ,Training (meteorology) ,[SHS.SPORT] Humanities and Social Sciences/Sport ,[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG] ,030229 sport sciences ,[STAT.ML] Statistics [stat]/Machine Learning [stat.ML] ,progressivity ,Swimming speed ,Sprint ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Periodization ,Cohort ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,progression ,competition ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,030217 neurology & neurosurgery - Abstract
Background: This study investigated the periodization of elite swimmers' training over the 25 weeks preceding the major competition of the season. Methods: We conducted a retrospective observational study of elite male (n = 60) and female (n = 67) swimmers (46 sprint, 81 middle-distance) over 20 competitive seasons (1992-2012). The following variables were monitored: training corresponding to blood lactate 4-6 mmol.L-1, >6 mmol.L-1, and maximal swimming speed; general conditioning and maximal strength training hours; total training load (TTL); and the mean normalized volumes for both in-water and dryland workouts. Latent class mixed modeling was used to identify various TTL pattern groups. The associations between pattern groups and sex, age, competition event, Olympic quadrennial year, training contents, and relative performance were quantified. Results: For the entire cohort, similar to 86-90% of the training was swum at an intensity of [La](b) 4-6 mmol.L-1, and 3.5-4.5% at > 6 mmol.L-1. Three sprint TTL patterns were identified: a pattern with two long similar to 14-15-week macrocycles, one with two similar to 12-13 week macrocycles each composed of a balanced training load, and one with a single stable flat macrocycle. The long pattern elicited the fastest performances and was most prevalent in Olympic quadrennials (i.e., 4 seasons preceding the 2004, 2008, and 2012 Olympic Games). This pattern exhibited moderate week-to-week TTL variability (6 +/- 3%), progressive training load increases between macrocycles, and more training at 6 mmol.L-1. This fastest sprint pattern showed a waveform in the second macrocycle consisting of two progressive load peaks 10-11 and 4-6 weeks before competition. The stable flat pattern was the slowest and showed low TTL variability (4 +/- 3%), training load decreases between macrocycles (P < 0.01), and more training at 4-6 mmol.L-1 (P < 0.01). Conclusion: Progressive increases in training load, macrocycles lasting about 14-15 weeks, and substantial volume of training at intensities 6 mmol.L-1, were associated with peak performance in elite swimmers. This research was partially funded by the French Institute of Sport, Expertise and Performance (INSEP) and the French Ministry in charge of sports under grant no. 14r21.
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- 2019
14. Effects of a 6-Week Period of Polarized or Threshold Training on Performance and Fatigue in Elite Swimmers
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Jean-François Toussaint, Anaël Aubry, Philippe Hellard, Robin Pla, Y Le Meur, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Fédération Française de Natation (FFN), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), and Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP)
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Male ,Intensity distribution ,medicine.medical_specialty ,Adolescent ,Swimming Performance ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,Physical Therapy, Sports Therapy and Rehabilitation ,[SHS.SPORT.DS]Humanities and Social Sciences/Sport/Sports ,030204 cardiovascular system & hematology ,Athletic Performance ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Oxygen Consumption ,Blood lactate ,Medicine ,Humans ,Training periodization ,Orthopedics and Sports Medicine ,Lactic Acid ,Fatigue ,Swimming ,Cross-Over Studies ,business.industry ,Training (meteorology) ,030229 sport sciences ,Intervention studies ,Adaptation, Physiological ,Confidence interval ,Physiological Adaptations ,Gender effect ,Athletes ,Training intensity ,Physical therapy ,Female ,business ,Training zones ,Physical Conditioning, Human - Abstract
International audience; Purpose: To quantify the impact of a polarized distribution of training intensity on performance and fatigue in elite swimmers.Methods: Twenty-two elite junior swimmers (12 males, age = 17 [3] y, and 10 females, age = 17 [3] y) participated in a crossover intervention study over 28 wk involving 2- × 6-wk training periods separated by 6 wk. Swimmers were randomly assigned to a training group for the first period: polarized (81% in zone 1, blood lactate concentration, [La]b ≤ 2 mmol·L−1; 4% in zone 2, 2 mmol·L−1 4 mmol·L−1) or threshold (65%/25%/10%). Before and after each period, they performed a 100-m maximal swimming test to determine performance, maximal [La]b, and oxygen consumption and an incremental swimming test to determine speed corresponding to [La]b = 4 mmol·L−1 (V4 mmol·L−1). Self-reported indices of well-being were collected with a daily questionnaire.Results: Polarized training elicited small to moderately greater improvement than threshold training on 100-m performance (within-group change ± 90% confidence interval: 0.97% ± 1.02% vs 0.09% ± 0.94%, respectively) with less fatigue and better quality of recovery. There was no substantial gender effect. No clear differences were observed in physiological adaptations between groups.Conclusions: In elite junior swimmers, a 6-wk period of polarized training induced small improvements in 100-m time-trial performance and, in combination with less perceived fatigue, forms a viable option for coaches preparing such cohorts of swimmers for competition.
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- 2019
15. Analysis of the Risk / Benefit Ratio and the Determinants of Performance in Team Sports
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Saulière, Guillaume, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris-Saclay, Jean-François Toussaint, Jérôme Dedecker, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5), and STAR, ABES
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Individualisation ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[STAT.ME] Statistics [stat]/Methodology [stat.ME] ,Injuries ,Performance ,Expérience collective ,Sport collectif ,Blessures ,Team sport ,[STAT.AP] Statistics [stat]/Applications [stat.AP] ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Individualization ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Collective experience ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] - Abstract
Data has massively invaded the world of high-level sport. Team sports such as football and rugby union, which are among the most publicized sports, are particularly concerned by this phenomenon. In addition, performance in a team sport is multifactorial and multidimensional and are deeply linked to the injuries. Sports scientists seek to understand and contextualize these performances as well as possible. To do so, a lot of data are needed and consumed. Those data are coming from many sources as they are the results of a global thinking between staff members surrounding the athletes. The participation of all the staff, and players, makes sports science answering the call of interdisciplinary research. In this context, biostatistics naturally find their place in direct collaboration with sports scientist, at the interface between data produced and the issues raised by the staff in order to help decision-making.Team sports involve individuals who play as a team. By definition, analyzing these sports requires both individual and collective assessment. It is this double analysis that was carried out during this thesis. The individualization of performance monitoring and health condition of players is clearly essential and it involves the development of statistical tools adapted to the issues raised. Z-score-based methods development for the analysis of biomarkers derived from longitudinal monitoring is an example of the reciprocal contribution that a collaboration between biostatistics and sports science can produce: a better understanding of players' state of health, which is essential for optimizing their performance and minimizing exposure to injury risk factors, and the prospects for optimizing existing statistical tools. The correction of a widely used test, the Mann-Whitney test also finds its place in the will to compare individual performance evolving over time, an issue encountered in detection, selection or rehabilitation protocols.Then, the collective dimension has been investigated. The individualization of the monitoring makes it possible to understand what is happening within each player and to personalize support by the staff. But what about team management? How can managing a group optimize its performance and impact the occurrence of injuries? Through two studies on rugby union, we have shown through the application of adapted statistical tools that the collective dimension of the analysis of the performance was essential to its understanding. Indeed, an optimized group management, favorable to the creation of collective experience, cohesion, and cleverly spreading playing time between the players contributes to better performance. The perspectives raised by these quantitative analyzes of collective experience in a collective sport were discussed. Including the impact on the occurrence of injuries which is a major issue raised by staffs because directly impacting the performance of the group. But the relationship between workforce management and injuries is poorly analyzed.Studies presented in this thesis illustrate some stapes of the necessary exchange between the different disciplines gathered around sports sciences and show how biostatistics fit into the decision-making process of the staffs., Les données ont massivement investi le monde du sport de haut niveau. Les sports collectifs comme le football et le rugby à 15 qui sont parmi les sports les plus médiatisés sont particulièrement concernés par ce phénomène. De plus, les performances dans un sport collectif sont multifactorielles et multidimensionnelles et sont étroitement liées à la survenue de blessures. Les sport scientists cherchent à comprendre et à contextualiser au mieux ces performances. Pour se faire, ils demandent et consomment énormément de données dont les sources sont multiples car émanant de la concertation des différents membres du staff entourant les athlètes. La participation de l’ensemble du staff, et des joueurs, fait des sciences du sport une thématique de recherche pluridisciplinaire. Dans ce contexte, les biostatistiques trouvent naturellement leur place en collaboration directe avec les sport scientitsts, à l’interface entre les données produites et les problématiques posées par le staff afin d’aider à la prise de décision.Les sports collectifs impliquent des individus qui jouent en équipe. Par définition, analyser ces sports nécessite un regard à la fois individuel et collectif. C’est cette double analyse qui a été réalisée au cours de cette thèse. L’individualisation du suivi des performances et de l’état de santé des joueurs est clairement indispensable et il implique l’élaboration d’outils statistiques adaptés aux problématiques soulevées. Le développement de méthodes basées sur le z-score pour l’analyse de marqueurs biologiques issus d’un suivi longitudinal est un exemple de l’apport réciproque qu’une collaboration entre biostatistiques et science du sport peut produire : une meilleure compréhension de l’état de santé des joueurs indispensable à l’optimisation de leur performance et à la minimisation de l’exposition aux facteurs de risques de blessure et les perspectives d’optimisation d’outils statistiques existants. La correction d’un test largement utilisé, le test de Mann-Whitney trouve aussi sa place dans la volonté de comparer des performances individuelles évoluant au cours du temps, problématique rencontrée dans la détection, la sélection ou encore les protocoles de soins. C’est ensuite la dimension collective qui a été investiguée. L’individualisation des suivis permet de comprendre ce qu’il se passe au sein de chaque joueur et de personnaliser les prises en charges par le staff. Mais qu’en est-il de la gestion du collectif ? Comment la gestion d’une équipe, d’un groupe peut optimiser sa performance et impacter la survenue de blessures ? A travers deux études sur le rugby à XV, nous avons montré à travers l’application d’outils statistiques adaptés que la dimension collective de l’analyse de la performance était indispensable à sa compréhension. En effet une gestion de groupe optimisée, favorable à la création d’expérience collective, de cohésion, répartissant intelligemment le temps de jeu entre les joueurs participe à la réalisation de meilleures performances. Les perspectives soulevées par ces analyses quantitatives de l’expérience collective dans un sport collectif ont été discutées. Dont l’impact sur la survenue des blessures qui est une problématique majeure soulevée par les staffs car impactant directement la performance du groupe. Mais les relations entre gestion d’effectif et blessures sont à ce jour peu analysées.Les études présentées dans cette thèse illustrent certaines étapes de l’échange nécessaire entre les différentes disciplines rassemblées autour des sciences du sport et montrent comment les biostatistiques s’inscrivent dans le processus de décision des staffs.
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- 2018
16. Release and toxicity of adipose tissue-stored TCDD: Direct evidence from a xenografted fat model
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Bruno Le Bizec, Nolwenn Joffin, Min Ji Kim, Robert Barouki, Claude Emond, Marion Falabregue, Philippe Marchand, Jean-Philippe Antignac, Xavier Coumoul, Philippe Noirez, Claude Forest, Toxicité environnementale, cibles thérapeutiques, signalisation cellulaire (T3S - UMR_S 1124), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Paris Descartes - Paris 5 (UPD5), Université Sorbonne Paris Cité (USPC), Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université du Québec à Montréal (UQAM), Université Paris 13 (UP13), Laboratoire d'étude des Résidus et Contaminants dans les Aliments (LABERCA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), BioSimulation Consulting Inc., Université de Montréal [Montréal], Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Université de Montréal (UdeM), Benoist, David, Performance, Santé, Métrologie, Société - EA 7507 (PSMS), Université de Reims Champagne-Ardenne (URCA), and Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire, agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS)
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0301 basic medicine ,[SDE] Environmental Sciences ,Male ,medicine.medical_specialty ,TCDD ,PBPK ,Polychlorinated Dibenzodioxins ,Adipose tissue ,Endogeny ,Inflammation ,010501 environmental sciences ,01 natural sciences ,Graft ,03 medical and health sciences ,Mice ,Pharmacokinetics ,Fibrosis ,Internal medicine ,Gene expression ,medicine ,[SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health ,Animals ,lcsh:Environmental sciences ,0105 earth and related environmental sciences ,General Environmental Science ,lcsh:GE1-350 ,Dioxin ,[SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health ,Chemistry ,Brain ,medicine.disease ,Internal release ,[SDV.TOX] Life Sciences [q-bio]/Toxicology ,Mice, Inbred C57BL ,030104 developmental biology ,Endocrinology ,Gluconeogenesis ,Liver ,13. Climate action ,[SDV.TOX]Life Sciences [q-bio]/Toxicology ,Toxicity ,[SDE]Environmental Sciences ,Heterografts ,medicine.symptom - Abstract
1873-6750 Joffin, Nolwenn Noirez, Philippe Antignac, Jean-Philippe Kim, Min-Ji Marchand, Philippe Falabregue, Marion Le Bizec, Bruno Forest, Claude Emond, Claude Barouki, Robert Coumoul, Xavier Journal Article Netherlands Environ Int. 2018 Oct 31. pii: S0160-4120(18)31382-5. doi: 10.1016/j.envint.2018.10.027.; International audience; BackgroundPersistent organic pollutants (POPs) are known to accumulate in adipose tissues (AT). This storage may be beneficial by diverting POPs from other sensitive tissues or detrimental because of chronic release of pollutants as indirectly suggested during weight loss. The aim is to study the biological and/or toxic effects that chronic POP release from previously contaminated grafted AT could exert in a naïve mouse.MethodsC57BL/6J male mice were exposed intraperitoneally to 2,3,7,8-tetrachlorodibenzo-p-doxin (TCDD); their epididymal fat pads were collected and grafted on the back skin of uncontaminated recipient mice whose brain, liver, and epididymal ATs were analyzed (TCDD concentration, relevant gene expression). Kinetics of release and redistribution were modeled using Physiologically Based PharmacoKinetics (PBPK).ResultsThe grafts released TCDD over a period of 10 weeks with different kinetics of distribution in the three organs studied. A PBPK model was used to simulate the AT releasing process and the incorporation of TCDD into the major organs. At three weeks post-graft, we observed significant changes in gene expression in the liver and the host AT with signatures reminiscent of inflammation, gluconeogenesis and fibrosis as compared to the control.ConclusionsThis study confirms that AT-stored TCDD can be released and distributed to the organs of the recipient hence leading to distinct changes in gene expression. This original model provides direct evidence of the potential toxic-relevant effects when endogenous sources of contamination are present.
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- 2018
17. Entre rouages mécaniques et créateurs organiques : signatures et citations de comportements vidéoludiques
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Giner, Esteban, Pannelay, Joël, Roques, Noémie, Chariot, Lucie, BESOMBES, Nicolas, Caron, Timothée, Sibony, Baptiste, Forti, Christopher, Aubin, Antoine, Cayatte, Rémi, Centre de Recherche sur les Médiations (Crem), Université de Lorraine (UL), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Centre de Recherche sur les Médiations ( Crem ), Université de Lorraine ( UL ), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), and Institut national du sport, de l'expertise et de la performance ( INSEP )
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[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology ,[SHS.SOCIO]Humanities and Social Sciences/Sociology ,[SHS.EDU]Humanities and Social Sciences/Education ,[SHS.INFO]Humanities and Social Sciences/Library and information sciences ,[ SHS.INFO ] Humanities and Social Sciences/Library and information sciences ,[ SHS.EDU ] Humanities and Social Sciences/Education ,[ SHS.SOCIO ] Humanities and Social Sciences/Sociology ,[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology - Abstract
ISBN : 979-10-97391-03-4; International audience; Les jeux vidéo, par leur double nature de comportement et de fiction (Juul, 2006), nous invitent à questionner qui est l'auteur des récits qu'ils proposent. Bien que le fait de mobiliser la notion d'interactivité comme élément distinctif des jeux vidéo par rapport à d'autres médias soit discutable – Galloway préfère par exemple parler d'active-based medium (2006, p. 3) – il semble malgré tout que leurs créateurs et les joueurs s'attachent particulièrement à considérer cela comme une spécificité de ce médium. De facto, de nombreux éléments et marqueurs présents et directement observables font des jeux vidéo des objets particulièrement intéressants à étudier lorsqu'il s'agit d'observer les relations entre le joueur, l'auteur et leurs créations. Une première lecture de ce dilemme serait alors de penser les game designers comme les véritables créateurs de ces jeux. Ils définissent une structure et attribuent des rôles définis aux joueuses et joueurs. Ces derniers ne sont alors que des rouages d'une mécanique plus ou moins bien huilée. Dans le cadre de cet article, le collectif d'auteurs et autrices signataires prend le parti de considérer l'inverse sans la renier ni la critiquer : les joueurs sont créateurs. La question à laquelle nous allons proposer des éléments de réponse est donc : de quoi sont-ils les autrices et auteurs ? Dans cet article, nous souhaitons faire un pas de côté pour interroger le joueur ou la joueuse non pas comme un lecteur-modèle (Eco, 1985) mais comme un créateur laissant des traces et des documents. Pour cela, nous posons un cadre de discussion sur le joueur représenté soit en tant que rouage mécanique à l'instar d'un opérateur sur une machine, soit en tant qu'acteur d'une performance. Par la suite, nous explorons trois pratiques du jeu vidéo qui nous amènent à constater, à l'intérieur de diverses communautés, des phénomènes de citations, d'attribution de découvertes ou de combinaisons d'actions, etc. Si les joueurs ne sont pas les auteurs d'un récit, il semble que les pratiques de ces communautés leur attribuent ce statut lorsqu'il s'agit de comportements techniques et ludiques.
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- 2018
18. Age-Related Upper Limits in Physical Performances
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Adrien Marck, Michael Spedding, Andy Marc, Stacey Johnson, Jean-Marc Di Meglio, Juliana Antero, Geoffroy Berthelot, Adrien Sedeaud, Jean-François Toussaint, Arthur Leroy, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Matière et Systèmes Complexes (MSC (UMR_7057)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Sorbonne Paris Cité (USPC), Université Paris Diderot - Paris 7 (UPD7), Spedding Research solutions SARL, Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), INSEP, documentation, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5), Hôtel-Dieu-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), and Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)
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Male ,Aging ,Master athletes ,Age-related physical performance ,Biology ,Athletic Performance ,medicine.disease_cause ,03 medical and health sciences ,0302 clinical medicine ,Jumping ,Age groups ,Age related ,medicine ,Humans ,030212 general & internal medicine ,Sex Characteristics ,[SHS.SPORT]Humanities and Social Sciences/Sport ,Age Factors ,Age-related changes ,[SHS.SPORT] Humanities and Social Sciences/Sport ,Maximal sport performance ,Upper limits ,Sexual dimorphism ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Homo sapiens ,Athletes ,Female ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Gender gap ,sense organs ,Geriatrics and Gerontology ,030217 neurology & neurosurgery ,Demography - Abstract
International audience; Maximal physical performances are powerful and accurate biomarkers in the understanding of age-related changes during the aging process. Previous studies have characterized age-related changes from Caenorhabditis elegans to Homo sapiens. We characterized changes in this pattern for H. sapiens, decade by decade, from 1970 to 2017. Using 286,916 performances related to age from the world's best performances in each age group, we measured the relative change of 10 different running and jumping events for both women and men. We compared the change in sexual dimorphism with age and showed that the gender gap in maximal performance regarding age increases gradually, especially after the age of 50. Between 1970 and 2017, the performances for all age groups in all events have slightly progressed. However, during the last decades, the relative progression of the best performances for all age groups has decreased in both range and frequency, suggesting that age-related maximal physical performances for H. sapiens are reaching their physiological limits.
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- 2018
19. Enquête sociologique sur les conditions de préparation des sportifs sélectionnés pour les jeux paralympiques de Rio (2016)
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JONCHERAY, Hélène, Burlot, Fabrice, Richard, Remi, BESOMBES, Nicolas, Dalgalarrondo, Sébastien, Desenfant, Mathilde, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Université de Montpellier (UM), Techniques et enjeux du corps (TEC - EA 3625), Université Paris Descartes - UFR de Sciences et Techniques des Activités Physiques et Sportives de Paris (STAPS) (UPD5 STAPS), Institut de Recherche Interdisciplinaire sur les enjeux Sociaux - sciences sociales, politique, santé (IRIS), Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-École des hautes études en sciences sociales (EHESS)-Université Paris 13 (UP13), Institut National du Sport, de l'Expertise et de la Performance (INSEP), and PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-École des hautes études en sciences sociales (EHESS)-Université Paris 13 (UP13)
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[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[SHS.SOCIO]Humanities and Social Sciences/Sociology - Published
- 2018
20. Améliorer les politiques nationales de promotion de l'activité physique favorable à la santé
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Joana, Ungureanu, Jean-François, Toussaint, Éric, Breton, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut national du sport, de l'expertise et de la performance (INSEP), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), and Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS)
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Santé ,[SHS.SPORT]Humanities and Social Sciences/Sport ,Prévention ,Health Policy ,Politics ,HEPA Health-enhancing physical activity ,Health Promotion ,Health prevention ,[SHS.SCIPO]Humanities and Social Sciences/Political science ,Activité physique ,Humans ,Santé physique ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Public Health ,France ,Sport-santé ,Exercise ,Policies ,Politique santé ,Politique ,Sport - Abstract
National audience; Context - In order to help states to develop policies and strategies impacting on all determinants of physical activity, the WHO has set up a policy analysis tool, the HEPA PAT (Health-Enhancing Physical Activity Policy Analysis Tool). This tool allows evaluation of national policies, while considering the complex network of determinants and influencing factors. This article has a double objective: firstly, to present this tool in order to define its specificity and utility in the development of HEPA national policies; secondly, to illustrate its application in the case of France. Methods - The national HEPA policies and projects in France were identified and analysed using the HEPA PAT methodology and quality criteria to highlight the opportunities and to propose recommendations for improvement. Results - HEPA promotion is a recent and fragmented process in France. Development is more intensive at the local level and needs stronger national support and coordination. The main problem seems to be the lack of long-term vision accompanied by a unified national strategy. Implementation is impaired by vaguely defined action plans, very often without any evaluation criteria or sustainable financing methods. Conclusion - The use of HEPA PAT provides a clear and complete overview of the political structure in the field of physical activity promotion. Further analysis of regional policies and projects is recommended to complete this work.; Contexte : Afin d’appuyer les États dans l’élaboration de stratégies et politiques agissant sur l’ensemble des déterminants de la sédentarité et de la pratique de l’activité physique, l’OMS a mis en place un outil d’analyse des politiques, le Health Enhancing Physical Activity Policy Analysis Tool (HEPA PAT) qui permet d’évaluer la qualité des politiques nationales et de prendre en compte le maillage complexe de ces déterminants. Cet article vise un double objectif : d’une part présenter cet outil pour préciser sa nature et son utilité pour la définition des politiques nationales de promotion de l’activité physique et d’autre part offrir une illustration de son application aux politiques françaises.Méthodes : Ayant d’abord identifié les politiques et les projets HEPA au niveau national, nous les avons ensuite analysés sur la base de l’HEPA PAT et de ses 17 critères de qualité, afin d’identifier des opportunités et de proposer des recommandations.Résultats : La promotion de l’activité physique en France est encore un domaine récent et fragmenté. Son développement est plus visible au niveau local mais requiert une coordination nationale. Le problème fondamental semble être le manque d’une vision à long terme et d’une stratégie unifiée l’accompagnant. La mise en œuvre se trouve limitée aussi par des plans d’action insuffisamment définis ou privés de critères d’évaluation et de financements durables.Conclusion : HEPA PAT offre un portrait clair et complet des efforts des États de promotion de l’activité physique. Cependant, seul un travail supplémentaire d’analyse des niveaux régional et local permettra de générer une vision globale des stratégies de promotion de l’activité physique au sein de la population.
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- 2018
21. Technologies, recherche et développement : du labo au terrain
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Nedelec, Mathieu, Sedeaud, Adrien, Burlot, Fabrice, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), INSEP, documentation, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), and Institut national du sport, de l'expertise et de la performance ( INSEP )
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Charge d'entraînement ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,Performance ,[SHS.SPORT] Humanities and Social Sciences/Sport ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,[ SHS.SPORT.SHPS ] Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[SHS.SPORT.SHPS] Humanities and Social Sciences/Sport/Human, political & social sport sciences ,Préparation ,Blessure ,[SHS.SPORT.SS]Humanities and Social Sciences/Sport/Sport heath ,Sommeil ,[SHS.SPORT.SS] Humanities and Social Sciences/Sport/Sport heath ,[ SHS.SPORT.SS ] Humanities and Social Sciences/Sport/Sport heath ,Rythme de vie ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience
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- 2018
22. LES SPORTIFS JOUENT LES PROLONGATIONS
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Antero, Juliana, Schipman, Julien, Toussaint, Jean-François, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Institut national du sport, de l'expertise et de la performance (INSEP), and Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5)
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société d'éditions scientifiques ,LONGATIONS La Recherche : l'actualité des sciences ,[SHS.SPORT]Humanities and Social Sciences/Sport ,%22">2018 ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie - Abstract
National audience; L'activité physique est bonne pour la santé... et pour la longévité. Mais, aujourd'hui, la sédentarité grandissante liée ànotre mode de vie contrarie ces bénéfices.
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- 2018
23. Results from France's 2018 Report Card on Physical Activity for Children and Youth
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Aubert, S. (Salome), Aucouturier, J. (Julien), Vanhelst, J. (Jeremy), Fillon, A. (Alicia), Genin, P. (Pauline), Ganière, C. (Caroline), Praznoczy, C. (Corinne), Larras, B. (Benjamin), Schipman, J. (Julien), Duclos, M. (Martine), Thivel, D. (David), Children's Hospital of Eastern Ontario Research Institute, Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 (URePSSS), Université d'Artois (UA)-Université de Lille-Université du Littoral Côte d'Opale (ULCO), Centre d’études des transformations des activités physiques et sportives (CETAPS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut de Recherche Interdisciplinaire Homme et Société (IRIHS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Centre de Recherche en Nutrition Humaine, UGECAM, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Observatoire national de l’activité physique et de la sédentarité (ONAPS), Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Médecine du Sport et des Explorations Fonctionnelles, CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand, EA 7369, Unité de Recherche Pluridisciplinaire Sport, Santé, Société, Université de Lille, Laboratoire des Adaptations Métaboliques à l’Exercice en conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne (UCA), ONAPS, Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Centre Hospitalier Universitaire Gabriel Montpied, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5), Université d'Artois (UA)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille, Ottawa Hospital Research Institute [Ottawa] [OHRI], Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 [URePSSS], Lille Inflammation Research International Center - U 995 [LIRIC], Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques [AME2P], Observatoire national de l’activité physique et de la sédentarité [ONAPS], Centre d’études des transformations des activités physiques et sportives [CETAPS], and Institut national du sport, de l'expertise et de la performance [INSEP]
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03 medical and health sciences ,0302 clinical medicine ,Physical activity ,Orthopedics and Sports Medicine ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,030229 sport sciences ,030212 general & internal medicine ,Psychology ,Report card ,Developmental psychology - Abstract
Results from France's 2018 Report Card on Physical Activity for Children and Youth
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- 2018
24. The importance of quantifying training loads: A model example
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Sedeaud, Adrien, Sène, Jean-Marc, Krantz, Norbert, Saulière, Guillaume, Moussa, Issa, Toussaint, Jean-François, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), INSEP, documentation, and Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5)
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Optimization ,Préparation physique ,Injuries ,Strength and conditioning ,[SHS.SPORT.SS]Humanities and Social Sciences/Sport/Sport heath ,Suivi ,Charges d'entraînement ,Blessures ,[SHS.SPORT.SS] Humanities and Social Sciences/Sport/Sport heath ,Optimisation ,Training load quantification - Abstract
Objectives: Emphasize the importance of setting up training load quantification models in sport.News: Sometimes neglected due to its time-consuming aspect, the quantification of training loads proves to be of great interest nevertheless, including in high performance sport. It is essential to place load quantification at the center of the training program so that it regains its main role within practice.Perspectives: This will have to go through the setting up of mixed models, including external and internal loads. Recent articles have placed internal loads as predominant indicators, which highlight the athlete’s knowledge on how they perceive fatigue, recovery or session intensity. A recent model of loads ratio taking into account the chronic load and the acute load seems extremely relevant. This reflection on acute/chronic ratios needs to be extrapolated to other variables of follow-up and to cross with the monitoring of fatigue and injuries.Conclusion: This model is useful for physical preparation, training monitoring, injury preven- tion and reathletisation in accordance to competitive requirements. Moreover, the computing of the ratio load could be transferable to all sports and all levels., Objectifs: Souligner la nécessité et l'intérêt de la mise en place de modèles de quantification de charge dans le sport de haut niveau. Actualités: Parfois délaissé, y compris dans le sport de haut niveau, notamment par son aspect chronophage, la quantification de la charge d'entraînement revêt pourtant de grands intérêts. Il est essentiel de replacer au centre de la programmation la quantification de la charge afin que la pierre névralgique de tout entraînement retrouve la place qui est la sienne.Perspectives et projets: Ceci devra passer par la mise en place de modèles mixtes, incluant charge externe et interne. De récents articles positionnent les indicateurs de charges internes comme prépondérants et soulignent la bonne connaissance des athlètes sur leur ressenti de niveau de fatigue, récupération ou intensité des séances. Un modèle récent de ratio de charges prenant en compte la charge chronique et la charge actuelle, paraît extrêmement pertinent. Ce positionnement autour de ratios aiguë/chronique est à extrapoler sur d’autres variables de suivi et intéressant à croiser avec du monitoring de la fatigue et des blessures.Conclusion: Ce type de modèle s’avère utile à la préparation physique, au suivi d’entraînement, à la prévention de la blessure, la réathlétisation face aux exigences compétitives. Par ailleurs, le calcul du ratio de charge peut se révéler transférable à tous les sports et tous les niveaux.
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- 2018
25. Enquête sociologique sur les conditions de préparation des sportifs sélectionnés pour les jeux olympiques de Rio (2016)
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BESOMBES, Nicolas, Joncheray, Hélène, Burlot, Fabrice, Dalgalarrondo, Sébastien, Desenfant, Mathilde, Techniques et enjeux du corps (TEC - EA 3625), Université Paris Descartes - Paris 5 (UPD5), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Institut de Recherche Interdisciplinaire sur les enjeux Sociaux - sciences sociales, politique, santé (IRIS), PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-École des hautes études en sciences sociales (EHESS)-Université Paris 13 (UP13), Institut National du Sport, de l'Expertise et de la Performance (INSEP), and Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-École des hautes études en sciences sociales (EHESS)-Université Paris 13 (UP13)
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[SHS.SPORT]Humanities and Social Sciences/Sport ,Hardware_MEMORYSTRUCTURES ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[SHS.SOCIO]Humanities and Social Sciences/Sociology ,ComputingMethodologies_MISCELLANEOUS ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,ComputingMethodologies_GENERAL - Abstract
En collaboration avec la mission d'Optimisation de la Performance (MOP)
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- 2018
26. Alexis Coquet, « former les générations futures »
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Couckuyt, Stéphane, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), Laboratoire Interdisciplinaire de Recherche sur les Transformations des pratiques Éducatives et des pratiques Sociales ( LIRTES ), Université Paris-Est ( UPE ), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire Interdisciplinaire de Recherche sur les Transformations des pratiques Éducatives et des pratiques Sociales (LIRTES), Université Paris-Est (UPE)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), and INSEP, documentation
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[SHS.SPORT.ECA]Humanities and Social Sciences/Sport/Train and coach ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT] Humanities and Social Sciences/Sport ,[SHS.SPORT.ECA] Humanities and Social Sciences/Sport/Train and coach ,Plongeon ,Entraînement ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,[ SHS.SPORT.ECA ] Humanities and Social Sciences/Sport/Train and coach - Abstract
National audience; Actuel entraîneur du pôle France de Strasbourg,l’ancien insepien partage ses observations, ses idéesd’entraînement qui ont permis au plongeon tricolored’exister sur la scène internationale. Autant de pistes pourréfléchir sur le chemin menant au haut niveau en plongeon etailleurs.
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- 2018
27. Optimisation of post-exercise protein intake during resistance training
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Fabre, Marina, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Sorbonne Paris Cité, Xavier Bigard, STAR, ABES, and Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5)
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[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition ,Whey ,Casein ,Masse musculaire ,Entraînement en musculation ,Muscle mass ,Strength ,Caséine ,Protéines de lactosérum ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Force ,Resistance training - Abstract
Nowadays, resistance training plays an important part in the training programmes of sportsmen, because it can optimise two essential parameters of physical performance: strength and power. Nutritional strategies following exercise can maximise the muscle responses from resistance training. Quality, quantity and timing of protein intake have particularly engaged the attention of scientific studies. While the majority of relevant research has investigated the intake of protein after a single bout of resistance exercise, this particular research project aims to investigate the effect of post-exercice protein intake during several weeks of resistance training.The objectives of this project are 1) to identify the optimal ratio between slow proteins (casein) and fast proteins (whey) of milk, present in a recovery riched-protein drink, on the muscle adaptations from resistance training (muscle mass and strength) and, 2) to investigate the muscle responses to slow protein intake a few hours after resistance training exercise. Results from the first study show that there is no resulting gain in muscle mass when the ratio of fast protein is equal to or higher than that of slow protein, despite an resulting increase in plasma leucine. The second study 1) confirms that ingestion of fast protein after each resistance training session improves muscle mass and strength gains, and 2) suggests that intake of casein 3 hours after the end of each training session can maximise the gain of strength during resistance training. These results allow specific recommendations to be formulated for protein intake during the recovery period after resistance training, both in planning the quality (study 1), quantity (studies 1 and 2) and timing (study 2) of protein intake during resistance training programmes., De nos jours, l’entraînement en musculation occupe une part importante dans la programmation d’entraînement des sportifs car il permet d’optimiser deux paramètres essentiels à la performance, la force et la puissance. Les stratégies nutritionnelles qui accompagnent les séances de musculation sont susceptibles d’influencer les réponses à l’entraînement. Parmi ces stratégies, celle qui a surtout retenu l’attention du monde scientifique concerne les caractéristiques des apports protéiques, et notamment les aspects de quantité, de qualité et du moment d’apport optimaux. Alors que la grande majorité des travaux ont été conduit dans le cadre d’un exercice unique, ce travail de thèse se propose d’évaluer l’intérêt d’un apport protéique en récupération d’exercices programmés dans le cadre d’un entraînement en musculation de plusieurs semaines. Il s’agit de 1) préciser l’impact du rapport entre les protéines lentes (caséines) et les protéines rapides (lactosérum) du lait - présentes dans une boisson protéique de récupération - sur les adaptations musculaires à un entraînement en musculation (masse musculaire et force) et, 2) de vérifier l’intérêt et le moment optimal d’un apport en protéines lentes, à distance de l’entraînement en musculation, sur les réponses musculaires à l’entraînement. Les résultats de la première étude montrent une augmentation significative de la concentration plasmatique en leucine lorsque la proportion de protéines rapides est supérieure ou égale à la proportion de protéines lentes, par rapport à la situation inverse (plus de caséine que de lactosérum). Mais, ceci ne se traduit pas par des gains hypertrophiques supérieurs. La seconde étude, 1) confirme l’intérêt de l’ingestion de protéines rapides après chaque séance pour améliorer le gain de masse musculaire en réponse à l’entraînement en musculation, et 2) suggère l’intérêt d’un apport de caséine 3h après la fin de chaque séance d’entraînement pour maximiser les gains de force pendant l’entraînement en musculation. Ces résultats permettent de préciser les recommandations d’apport en protéines en phase de récupération de séances de musculation, tant au plan de la qualité des apports azotés (étude 1), de leur quantité (études 1 et 2), que du moment d’apport (étude 2).
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- 2017
28. Stress : une gestion collective pour performer
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Leprince , Chloé, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), and INSEP, documentation
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[SHS.PSY] Humanities and Social Sciences/Psychology ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[ SHS.PSY ] Humanities and Social Sciences/Psychology ,[SHS.SPORT] Humanities and Social Sciences/Sport ,[SHS.PSY]Humanities and Social Sciences/Psychology ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,ComputingMilieux_MISCELLANEOUS - Abstract
National audience
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- 2017
29. Modelling of optimal training load patterns during the 11 weeks preceding major competition in elite swimmers
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David B. Pyne, Philippe Hellard, Marta Avalos, Charlotte Scordia, Iñigo Mujika, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Fédération Française de Natation (FFN), Université de Bordeaux (UB), Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Australian Institute of Sport, This research was partially funded by the French Institute of Sport, Expertise and Performance (INSEP) and the French Ministry in charge of sports under grant no 14r21, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Institut national du sport, de l'expertise et de la performance ( INSEP ) -Université Paris Descartes - Paris 5 ( UPD5 ), Fédération Française de Natation ( FFN ), Université de Bordeaux ( UB ), Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Statistics In System biology and Translational Medicine ( SISTM ), Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), and University of the Basque Country/Euskal Herriko Unibertsitatea ( UPV/EHU )
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Male ,Periodicity ,Time Factors ,Physiology ,Health Status ,Endocrinology, Diabetes and Metabolism ,High-Intensity Interval Training ,0302 clinical medicine ,cubic splines ,natation ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,modèles mixtes ,Training load ,swimming ,[STAT.CO]Statistics [stat]/Computation [stat.CO] ,[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] ,Mathematics ,media_common ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,Nutrition and Dietetics ,Age Factors ,Swim training ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,General Medicine ,Improved performance ,periodization ,[ STAT.ME ] Statistics [stat]/Methodology [stat.ME] ,Sprint ,Muscle Fatigue ,splines cubiques ,Female ,High-intensity interval training ,competition ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,Muscle Contraction ,Physical Conditioning, Human ,Adult ,mixed models ,Competitive Behavior ,Adolescent ,Strength training ,media_common.quotation_subject ,Models, Biological ,[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] ,Competition (biology) ,Young Adult ,03 medical and health sciences ,Sex Factors ,Animal science ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,Physiology (medical) ,Humans ,Muscle Strength ,14. Life underwater ,Muscle, Skeletal ,[ STAT.CO ] Statistics [stat]/Computation [stat.CO] ,Models, Statistical ,[ STAT.AP ] Statistics [stat]/Applications [stat.AP] ,Training (meteorology) ,Resistance Training ,030229 sport sciences ,périodisation ,Athletes ,Physical Endurance ,compétition ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,030217 neurology & neurosurgery - Abstract
International audience; Periodization of swim training in the final training phases prior to competition and its effect on performance have been poorly described. We modeled the relationships between the final 11 weeks of training and competition performance in 138 elite sprint, middle-distance, and long-distance swimmers over 20 competitive seasons. Total training load (TTL), strength training (ST), and low- to medium-intensity and high-intensity training variables were monitored. Training loads were scaled as a percentage of the maximal volume measured at each intensity level. Four training periods (meso-cycles) were defined: the taper (weeks 1 to 2 before competition), short-term (weeks 3 to 5), medium-term (weeks 6 to 8), and long-term (weeks 9 to 11). Mixed-effects models were used to analyze the association between training loads in each training meso-cycle and end-of-season major competition performance. For sprinters, a 10% increase between ∼20% and 70% of the TTL in medium- and long-term meso-cycles was associated with 0.07 s and 0.20 s faster performance in the 50 m and 100 m events, respectively (p < 0.01). For middle-distance swimmers, a higher TTL in short-, medium-, and long-term training yielded faster competition performance (e.g., a 10% increase in TTL was associated with improvements of 0.1-1.0 s in 200 m events and 0.3-1.6 s in 400 m freestyle, p < 0.01). For sprinters, a 60%-70% maximal ST load 6-8 weeks before competition induced the largest positive effects on performance (p < 0.01). An increase in TTL during the medium- and long-term preparation (6-11 weeks to competition) was associated with improved performance. Periodization plans should be adapted to the specialty of swimmers.; En natation, la périodisation des phases d’entraînement précédant les compétitions majeures a été peu décrite. Nous avons modélisé les relations entre les 11 dernières semaines d’entraînement et les performances en compétition chez 138 nageurs élites. La charge d’entraînement totale (TTL), l’entraînement de force (ST), les variables d’entraînement de basse à moyenne et haute intensité ont été quantifiées. Les charges d’entraînement ont été normalisées en pourcentage du volume maximal individuel pour chaque niveau d’intensité. Quatre périodes d’entraînement (méso-cycles) ont été définies, l’affutage (semaines 1 à 2 avant la compétition), à court-terme (semaines 3 à 5), moyen-terme (semaines 6 à 8) et long-terme (semaines 9 à 11). Les modèles à effets mixtes ont été utilisés pour analyser les associations entre les charges d’entraînement dans chaque méso-cycle et la performance de fin de saison. Pour les sprinters, chaque augmentation de TTL de 10 % entre ∼20–70 % dans les méso-cycles à long et moyen-terme a été associée avec des performances plus rapides de 0,07 s et 0,20 s dans les épreuves de 50 m et 100 m (p < 0,01). Pour les nageurs de demi-fond une TTL plus élevée à court, moyen et long terme a induit des performances en compétition plus rapides (chaque augmentation de TTL de 10 % entre ∼20–70 % a été associée à des performances plus rapides de 0,3–1,6 s au 400 m, p < 0,01). Pour les sprinters, une ST entre 60–70 % 6–8 semaines avant la compétition a induit les effets positifs les plus élevés (p < 0,01). TTL 6–11 semaines avant la compétition a amélioré les performances en compétition.
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- 2017
30. Voluntary Exercise Improves Cardiac Function and Prevents Cardiac Remodeling in a Mouse Model of Dilated Cardiomyopathy
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Deloux, Robin, Vitiello, Damien, Mougenot, Nathalie, Noirez, Philippe, Li, Zhenlin, Mericskay, Mathias, Ferry, Arnaud, Agbulut, Onnik, Signalisation et physiopathologie cardiovasculaire (UMRS1180), Institut National de la Santé et de la Recherche Médicale (INSERM), Adaptation Biologique et Vieillissement = Biological Adaptation and Ageing (B2A), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Sorbonne Paris Cité (USPC), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Phénotypage du petit animal (UMS28), Sorbonne Université (SU), Institut de Myologie, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Université Paris Cité (UPCité), Quaireau, Valérie, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Association française contre les myopathies (AFM-Téléthon)-Sorbonne Université (SU)
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non-ischemic cardiac disease ,dilated cardiomyopathy ,non-forced exercise ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,Physiology ,wheel exercise ,[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,Original Research - Abstract
International audience; Objective: Despite the indubitable beneficial effect of exercise to prevent of cardiovascular diseases, there is still a lack of studies investigating the impact of exercise in non-ischemic dilated cardiomyopathy. Here, we investigated the impact of voluntary exercise on cardiac function in a mouse model of non-ischemic dilated cardiomyopathy (αMHC-MerCreMer:Sf/Sf), induced by cardiac-specific inactivation of the Serum Response Factor.Materials and Methods: Seven days after tamoxifen injection, 20 αMHC-MerCreMer:Sf/Sf mice were assigned to sedentary (n = 8) and exercise (n = 12) groups. Seven additional αMHC-MerCreMer:Sf/Sf mice without tamoxifen injection were used as control. The exercise group performed 4 weeks of voluntary running on wheel (1.8 ± 0.12 km/day). Cardiac function, myocardial fibrosis, and mitochondrial energetic pathways were then blindly assessed.Results: Exercised mice exhibited a smaller decrease of left ventricular (LV) fractional shortening and ejection fraction compared to control mice. This was associated with a lower degree of LV remodeling in exercised mice, as shown by a lower LV end-systolic intrerventricular septal and posterior wall thickness decrease from baseline values compared to sedentary mice. Moreover, exercised mice displayed a reduced gene expression of atrial and brain natriuretic factors. These benefits were associated by a reduced level of myocardial fibrosis. In addition, exercised mice exhibited a higher mitochondrial aconitase, voltage-dependent anion-selective channel 1 and PPAR gamma coactivators-1 alpha proteins levels suggesting that the increase of mitochondrial biogenesis and/or metabolism slowed the progression of dilated cardiomyopathy in exercised animals.Conclusions: In conclusion, our results support the role of voluntary exercise to improve outcomes in non-ischemic dilated heart failure (HF) and also support its potential for a routine clinical use in the future.
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- 2017
31. Are We Reaching the Limits of Homo sapiens?
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Adrien Marck, Juliana Antero, Geoffroy Berthelot, Guillaume Saulière, Jean-Marc Jancovici, Valérie Masson-Delmotte, Gilles Boeuf, Michael Spedding, Éric Le Bourg, Jean-François Toussaint, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP), Matière et Systèmes Complexes (MSC (UMR_7057)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Haut Conseil de la Santé Publique (HCSP), REsearch LAboratory for Interdisciplinary Studies (RELAIS), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Muséum national d'Histoire naturelle (MNHN), Spedding Research solutions SARL, Centre de Recherches sur la Cognition Animale (CRCA), Centre de Biologie Intégrative (CBI), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut des sciences du cerveau de Toulouse. (ISCT), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches sur la Cognition Animale - UMR5169 (CRCA), Institut des sciences du cerveau de Toulouse. (ISCT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Biologie Intégrative (CBI), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Le Bourg, Eric, Matière et Systèmes Complexes (MSC), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Biologie Intégrative (CBI), and Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
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0301 basic medicine ,Gerontology ,anthropocene ,[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,Physiology ,biometry ,Review ,Biology ,lcsh:Physiology ,03 medical and health sciences ,Politics ,0302 clinical medicine ,longevity ,Anthropocene ,Physiology (medical) ,[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,Relevance (information retrieval) ,Positive economics ,Set (psychology) ,lcsh:QP1-981 ,public health ,030229 sport sciences ,Adult height ,Term (time) ,030104 developmental biology ,human upper limits ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Homo sapiens ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,environment ,Period (music) ,life span ,performance - Abstract
International audience; Echoing scientific and industrial progress, the Twentieth century was an unprecedented period of improvement for human capabilities and performances, with a significant increase in lifespan, adult height, and maximal physiological performance. Analyses of historical data show a major slow down occurring in the most recent years. This triggered large and passionate debates in the academic scene within multiple disciplines; as such an observation could be interpreted as our upper biological limits. Such a new phase of human history may be related to structural and functional limits determined by long term evolutionary constraints, and the interaction between complex systems and their environment. In this interdisciplinary approach, we call into question the validity of subsequent forecasts and projections through innovative and related biomarkers such as sport, lifespan, and height indicators. We set a theoretical framework based on biological and environmental relevance rather than using a typical single-variable forecasting approach. As demonstrated within the article, these new views will have major social, economical, and political implications.
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- 2017
32. Relationship Between Blood Flow and Performance Recovery: A Randomized, Placebo-Controlled Study
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Christophe Hausswirth, François Bieuzen, Rachel Borne, Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire Motricité Humaine Expertise Sport Santé (LAMHESS), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université de Toulon (UTLN)-Université Côte d'Azur (UCA), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance ( INSEP ), Laboratoire Motricité Humaine Expertise Sport Santé ( LAMHESS ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Université de Toulon ( UTLN ), and French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) )
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Adult ,medicine.medical_specialty ,Placebo-controlled study ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,Physical Therapy, Sports Therapy and Rehabilitation ,Athletic Performance ,Placebo ,Young Adult ,03 medical and health sciences ,Recovery period ,0302 clinical medicine ,Double-Blind Method ,Heart Rate ,Internal medicine ,Heart rate ,medicine ,Humans ,Orthopedics and Sports Medicine ,Lactic Acid ,Muscle, Skeletal ,Wingate test ,030222 orthopedics ,Recovery effect ,business.industry ,[ SHS.SPORT.PS ] Humanities and Social Sciences/Sport/Sport physiology ,Performance recovery ,030229 sport sciences ,Blood flow ,Electric Stimulation ,Bicycling ,Lower Extremity ,Regional Blood Flow ,Cardiology ,Physical therapy ,business - Abstract
Purpose:To investigate the effect of different limb blood-flow levels on cycling-performance recovery, blood lactate concentration, and heart rate.Methods:Thirty-three high-intensity intermittent-trained athletes completed two 30-s Wingate anaerobic test sessions, 3 × 30-s (WAnT 1–3) and 1 × 30-s (WAnT 4), on a cycling ergometer. WAnT 1–3 and WAnT 4 were separated by a randomly assigned 24-min recovery intervention selected from among blood-flow restriction, passive rest, placebo stimulation, or neuromuscular electrical-stimulation-induced blood flow. Calf arterial inflow was measured by venous occlusion plethysmography at regular intervals throughout the recovery period. Performance was measured in terms of peak and mean power output during WAnT 1 and WAnT 4.Results:After the recovery interventions, a large (r = .68 [90% CL .42; .83]) and very large (r = .72 (90% CL .49; .86]) positive correlation were observed between the change in calf arterial inflow and the change in mean and peak power output, respectively. Calf arterial inflow was significantly higher during the neuromuscular-electrical-stimulation recovery intervention than with the blood-flow-restriction, passive-rest, and placebo-stimulation interventions (P < .001). This corresponds to the only intervention that allowed performance recovery (P > .05). No recovery effect was linked to heart rate or blood lactate concentration levels.Conclusions:For the first time, these data support the existence of a positive correlation between an increase in blood flow and performance recovery between bouts of high-intensity exercise. As a practical consideration, this effect can be obtained by using neuromuscular electrical stimulation-induced blood flow since this passive, simple strategy could be easily applied during short-term recovery.
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- 2017
33. Optimiser le retour de blessure en sport de haut niveau par la simulation mentale du geste sportif Par Claire Calmels
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Calmels, Claire, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), INSEP, documentation, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), and Institut national du sport, de l'expertise et de la performance ( INSEP )
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[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SCS] Humanities and Social Sciences/Sport/Sport cognitive sciences ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,Neurosciences ,[SHS.SPORT] Humanities and Social Sciences/Sport ,[ SCCO.PSYC ] Cognitive science/Psychology ,[ SHS.SPORT.SCS ] Humanities and Social Sciences/Sport/Sport cognitive sciences ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,Simulation mentale ,Blessure ,[ SCCO.NEUR ] Cognitive science/Neuroscience ,[SCCO.PSYC] Cognitive science/Psychology ,[SCCO.PSYC]Cognitive science/Psychology ,[SHS.SPORT.SCS]Humanities and Social Sciences/Sport/Sport cognitive sciences - Abstract
National audience; Une blessureet la carrièresportive estsuspendue.Le mental affecté.La reprise incertaine.Un dispositif récent basésur les dernièresdécouvertes en neurologieet en neurosciences faitdes miracles à condition del’adapter à chaque athlète.Quand dire, imaginerou observer un gestesportif optimise la reprisede la pratique, redonneconfiance, voirerevient à s’entraîner.
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- 2017
34. Z-scores-based methods and their application to biological monitoring: an example in professional soccer players
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Jean-François Toussaint, Jérôme Dedecker, Guillaume Saulière, Geoffroy Berthelot, Laurie-Anne Marquet, Pierre Rochcongar, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), and Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5)
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Statistics and Probability ,Adult ,Male ,Iron ,Population ,Normal Distribution ,Standard score ,Biostatistics ,01 natural sciences ,Normal distribution ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Biological passport ,Reference Values ,Statistics ,Soccer ,Humans ,0101 mathematics ,education ,Statistic ,Mathematics ,Monitoring, Physiologic ,education.field_of_study ,[SHS.SPORT]Humanities and Social Sciences/Sport ,Hematologic Tests ,Models, Statistical ,Clinical follow-up ,Z-score ,Linear model ,030229 sport sciences ,General Medicine ,Longitudinal monitoring ,Biological monitoring ,Athletes ,Ferritins ,Statistics, Probability and Uncertainty ,Abnormality ,Null hypothesis ,Quantile - Abstract
Summary The clinical and biological follow-up of individuals, such as the biological passport for athletes, is typically based on the individual and longitudinal monitoring of hematological or urine markers. These follow-ups aim to identify abnormal behavior by comparing the individual’s biological samples to an established baseline. These comparisons may be done via different ways, but each of them requires an appropriate extra population to compute the significance levels, which is a non-trivial issue. Moreover, it is not necessarily relevant to compare the measures of a biomarker of a professional athlete to that of a reference population (even restricted to other athletes), and a reasonable alternative is to detect the abnormal values by considering only the other measurements of the same athlete. Here we propose a simple adaptive statistic based on maxima of Z-scores that does not rely on the use of an extra population. We show that, in the Gaussian framework, it is a practical and relevant method for detecting abnormal values in a series of observations from the same individual. The distribution of this statistic does not depend on the individual parameters under the null hypothesis, and its quantiles can be computed using Monte Carlo simulations. The proposed method is tested on the 3-year follow-up of ferritin, serum iron, erythrocytes, hemoglobin, and hematocrit markers in 2577 elite male soccer players. For instance, if we consider the abnormal values for the hematocrit at a 5% level, we found that 5.57% of the selected cohort had at least one abnormal value (which is not significantly different from the expected false-discovery rate). The approach is a starting point for more elaborate models that would produce a refined individual baseline. The method can be extended to the Gaussian linear model, in order to include additional variables such as the age or exposure to altitude. The method could also be applied to other domains, such as the clinical patient follow-up in monitoring abnormal values of biological markers.
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- 2017
35. Collective effectiveness in the XV de France: selections and time matter
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Jean-François Toussaint, Scott Del Vecchio, Guillaume Saulière, Avner Bar-Hen, Laurie-Anne Marquet, Adrien Sedeaud, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Sud Orsay, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire Motricité Humaine Expertise Sport Santé (LAMHESS), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université de Toulon (UTLN)-Université Côte d'Azur (UCA), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre d'Investigation en Médecine du sport (CIMS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu
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media_common.quotation_subject ,Victory ,Football ,Physical Therapy, Sports Therapy and Rehabilitation ,[SHS.SPORT.DS]Humanities and Social Sciences/Sport/Sports ,Athletic Performance ,03 medical and health sciences ,0302 clinical medicine ,Rugby union ,Shared selections ,0502 economics and business ,Humans ,Orthopedics and Sports Medicine ,Sociology ,media_common ,Teamwork ,05 social sciences ,Sharing experience ,030229 sport sciences ,General Medicine ,Collective performance ,Workforce ,France ,Social psychology ,050203 business & management - Abstract
International audience; The aim of this study was to quantify the impact of selections and shared selections in the rugby union. Players’ names, positions, and number of selections were collected for all XV de France’s games (1906–2014). Every team’s percentage of renewal of workforce was calculated for backs and forwards. During the 1987–2014 period, all second row forwards (locks), halfbacks, and centres’ shared selections (number of times when two players have competed together) were recreated. The Best vs. Rest method was applied to these remodelled dyads. They were analysed and compared with surrounding teammates as well as opponents. Head coaches similarly change their workforce for upcoming matches after winning or losing (around 30%), but losing teams renew significantly more positions in their line-ups. The recreated halfbacks, locks, and centres reveal a common pattern. Whether victorious or not, the ‘renewed couples’ victory percentage will congregate towards the XV de France’s victory percentage. For all the best recreated couples, the cumulated number of selections for forwards’ is always higher than the ones part of less efficient teams: 231.3 ± 80 vs. 212.9 ± 91 selections for locks’ teammates (Effect sizes (ES) small, possibly positive, 54.8%). In best recreated couples, number 8’s are significantly more experienced than their counterparts in less efficient pairs (ES small, likely positive, 76.3%). The XV de France’s collective effectiveness relies on a balance between stability and workforce renewal, which allows the building of specific position interactions and builds on experimented forwards packs. Selections and shared selections are serious collective performance parameters associated with performance.
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- 2017
36. Exploring variable selection in additive mixed effects models using group lasso
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Avalos, Marta, Soret, Perrine, Meza, Cristian, Bertin, Karine, Ren, Hao, Hellard, Philippe, Université de Bordeaux (UB), Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Vaccine Research Institute (VRI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centro de Investigación y Modelamiento de Fenómenos Aleatorios – Valparaíso (CIMFAV), Universidad de Valparaiso [Chile], Université de Technologie de Compiègne (UTC), Fédération Française de Natation (FFN), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), This research was partially funded by the French Institute of Sport, Expertise and Performance (INSEP) under grant no14r21, Statistical Society of Australia (SSA), Avalos, Marta, Université de Bordeaux ( UB ), Statistics In System biology and Translational Medicine ( SISTM ), Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Centro de Investigación y Modelamiento de Fenómenos Aleatorios – Valparaíso ( CIMFAV ), Université de Technologie de Compiègne ( UTC ), Fédération Française de Natation ( FFN ), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Institut national du sport, de l'expertise et de la performance ( INSEP ) -Université Paris Descartes - Paris 5 ( UPD5 ), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Epidémiologie et Biostatistique [Bordeaux], and Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[STAT.ME] Statistics [stat]/Methodology [stat.ME] ,Longitudinal data --- algorithme EM ,[ STAT.AP ] Statistics [stat]/Applications [stat.AP] ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG] ,L1-penalty ,[STAT.CO] Statistics [stat]/Computation [stat.CO] ,[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] ,[STAT.ML] Statistics [stat]/Machine Learning [stat.ML] ,[ STAT.ME ] Statistics [stat]/Methodology [stat.ME] ,[STAT.AP] Statistics [stat]/Applications [stat.AP] ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Sport science data ,[STAT.CO]Statistics [stat]/Computation [stat.CO] ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] ,[ STAT.CO ] Statistics [stat]/Computation [stat.CO] - Abstract
International audience; We consider the problem of estimating a high-dimensional additive mixed model for longitudinal data using sparse methods. In this problem, multiple measurements are made on the same subject across time, and then the different sources of variability (intra- and inter-subject variability) and correlation within subjects have to be considered. Also, the relationships between explanatory variables and the outcome arepossibly non linear. In addition, the number of explanatory variables could be larger than the sample size but only a small set of explanatory variables contribute to the response.Several computational approaches for high-dimensional additive modelling for independent data have been developed in the literature. Recently, Amato and colleagues (Stat Methods Appl 2016; s10260-016-0357-8) conducted a comprehensive review of these methods. Efficient regularized estimation procedures for variable selection in nonparametric additive models use basis function approximations. The authors also proposed a reformulation of the estimation problem in terms of group Lasso that allows deducing convergence and asymptotic optimality properties.Only a few works have developed suggestions to analyse high-dimensional longitudinal data using Lasso-type methods in additive mixed model. The resulting estimator depends only on a relatively small number of basis functions, however variable selection is not directly encouraged. In this study we explore the extension of the group Lasso penalty to additive mixed effects models. We discuss computational aspects, including a comparison of group Lasso algorithms implemented through publicly available R codes, the estimation of optimal regularization parameter and linkages between mean and covariance parameter estimation algorithms. We illustrate the interest of such approaches in the analysis of a twenty - year longitudinal study of training practices of elite athletes.
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- 2016
37. Clustering of temporal sport training curves: a comparison of FDA and LDA approaches
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Lefort, Gaëlle, Avalos, Marta, Soret, Perrine, David, Pyne, Toussaint, Jean-François, Hellard, Philippe, Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI), Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux (UB), Australian Institute of Sport, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Département d'études et recherches, Fédération Française de Natation (FFN), This research was partially funded by the French Institute of Sport, Expertise and Performance (INSEP) under grant no14r21., Ecole Nationale de la Statistique et de l'Analyse de l'Information ( ENSAI ), Ensai, Ecole Nationale de la Statistique et de l'Analyse de l'Information, Statistics In System biology and Translational Medicine ( SISTM ), Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Université de Bordeaux ( UB ), Institut national du sport, de l'expertise et de la performance ( INSEP ), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut national du sport, de l'expertise et de la performance ( INSEP ), Université Paris Descartes - Paris 5 ( UPD5 ), Fédération Française de Natation ( FFN ), Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Epidémiologie et Biostatistique [Bordeaux], and Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[ STAT.AP ] Statistics [stat]/Applications [stat.AP] ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] ,Functional data analysis ,[ STAT.ME ] Statistics [stat]/Methodology [stat.ME] ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Longitudinal data analysis ,Sport science data ,[STAT.CO]Statistics [stat]/Computation [stat.CO] ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] ,[ STAT.CO ] Statistics [stat]/Computation [stat.CO] - Abstract
International audience; Functional data analysis (FDA) and longitudinal data analysis (LDA) are the main approaches to analyze repeated measures data (in which multiple measurements are made on the same subject across time). Typically, FDA is applied when the data are dense, assumed to be observed in the continuum, and without noise. LDA is usually applied when data are sparse, possibly with different number of measurements across individuals, and subject to error.In elite sport, the parameters of the training program (intensity, volume, frequency, distribution and duration of high-intensity, recovery, and competition periods) should be manipulated systematically to optimize performance and reduce the risk of injury. Sport training data are recorded densely over time. However, measurements, such as duration of follow-up or duration of the season, vary among subjects. Subject-specific variations may introduce substantial measurement error.The statistical objectives of this study were the following:- First, to review the literature on the most commonly used methods for clustering of time evolution curves with a publicly available R code.- Second, to implement FDA and LDA methods presenting publicly available R code: k-means based on the standard Euclidian distance, a discrete Frèchet distance, and a distance of functions; Gaussian mixture model - based clustering for standard, longitudinal and functional data; and latent class mixed models.- Third, using data from a twenty - year longitudinal study of training practices of elite athletes, to perform a clustering analysis using relevant methods.- Fourth, to compare the results and interpret them. Comparison criteria were mainly based on computational and practical aspects.The practical goal of this project was to identify training profiles and to characterize them to provide relevant tools for supporting decision-making in monitoring athletes' training programs.
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- 2016
38. The Mann-Whitney U-statistic for α-dependent sequences
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Dedecker, Jérôme, Saulière, Guillaume, Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut national du sport, de l'expertise et de la performance ( INSEP ), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), and Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP)
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[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] ,Mathematics - Statistics Theory ,[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST] - Abstract
We give the asymptotic behavior of the Mann-Whitney U-statistic for two independent stationary sequences. The result applies to a large class of short-range dependent sequences, including many non-mixing processes in the sense of Rosenblatt. We also give some partial results in the long-range dependent case, and we investigate other related questions. Based on the theoretical results, we propose some simple corrections of the usual tests for stochastic domination; next we simulate different (non-mixing) stationary processes to see that the corrected tests perform well.
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- 2016
39. At the frontiers of performances : a comparative approach of the relationship between locomotion and age for different species
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Marck, Adrien, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Sorbonne Paris Cité, Jean-François Toussaint, Jean-Marc Di Meglio, and Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Descartes - Paris 5 (UPD5)
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Aging ,Expansion phénotypique ,Limites physiologiques selon l’âge ,Comparative biology of aging ,Biologie comparative du vieillissement ,Vieillissement ,Phenotypic expansion ,Locomotion ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,Physiological limits by age - Abstract
Aging is a complex, multi-scale process that affects all levels of biological organization from molecular structure to individual behavior. Locomotion is a highly integrated neurophysiological function that illustrates this process. The functional decline in locomotion with age has been described in a wide-range of species, both domestic and wild, and appears as a common aspect of senescence among animals. However, in most cases these descriptions remain incomplete and the dynamics of age-related changes are poorly understood. Here, we use a conceptual feature to describe age-related changes in locomotor performances for Caenorhabditis elegans, Mus domesticus, Canis familiaris, Equus caballus and Homo sapiens. We show that measurements of locomotor performance are consistent biomarkers of age-related changes, with a well preserved pattern regardless of the type of effort or duration. We also show that age-related pattern for locomotor performance are modulated by gender and environment. Nevertheless, in every case, the pattern remains similar and very well preserved. The second part of this work introduces the concept of phenotypic expansion and focuses on the expansion of the age-related pattern for Homo sapiens during the last century. Since the first edition of modern Olympic Games in 1896, athletes have consistently improved previous records, echoing scientific and industrial progress. Their data constitute privileged and accurate biomarkers, as sport performances reflect highly integrated neuro-physiological traits based on complex multifactorial interactions. Following the progression of the world records, the age-related pattern expanded gradually during the 20th century. However, the last decades show a slow-down in the expansion, following again the recent asymptotic levelling off of world records, which no longer supports the historical motto “Citius, Altius, Fortius”. This work provides new insights about the utility of an age-based comparative approach to provide a thorough understanding of aging processes and also for gaining insights into aging at different levels of biological organization and in an evolutionary perspective.; L’organisation biologique, du niveau moléculaire jusqu’au niveau des performances de l’organisme. La locomotion est une fonction neurophysiologique hautement intégrée illustrant un tel processus multi-échelle. Le déclin des performances de locomotion avec l’âge, comme la vitesse maximale, a été observé pour de nombreuses espèces, aussi bien en captivité qu’en milieu naturel. Cependant, ces descriptions restent souvent succinctes, sans précision sur la progression de ces performances au cours du vieillissement. Dans ces travaux, nous utilisons une équation bi-phasique pour décrire la relation entre performance de locomotion et âge sur l’ensemble de la durée de la vie pour Caenorhabditis elegans, Mus domesticus, Canis familiaris, Equus caballus et Homo sapiens. Les performances maximales de locomotion se révèlent être des bio-marqueurs robustes pour suivre la progression des performances sur l’ensemble de la durée de vie des animaux, permettant ainsi d’estimer le pic physiologique et le début du déclin des performances. De plus, dans tous les cas, nous remarquons que la forme de progression des performances maximales selon l’âge est similaire et conservée d’une espèce à l’autre ; seule varie la pente dans le temps, dépendant de l’espèce et la performance mesurée. L’observation des performances selon le genre ne montre pas de différence dans la forme de l’enveloppe. Néanmoins, elle révèle des écarts variables dans les performances maximales entre femelles et mâles selon les espèces. Enfin, les conditions thermiques affectent les performances maximales de locomotion, mais la forme de l’enveloppe reste aussi préservée. Nous avons ensuite étudié le développement et l’expansion de cette dynamique au cours du siècle dernier pour les performances athlétiques maximales d’Homo sapiens. Cette étude révèle que la forme s’est progressivement précisée au cours du temps en s’étendant à tous les âges et suivant homothétiquement la progression des records du monde. Néanmoins, la progression semble ralentir au cours des dernières décennies, laissant présager l’atteinte possible des limites biologiques d’Homo sapiens. Ces travaux offrent de nouvelles perspectives sur l’utilité des approches comparatives et l’utilisation d’un bio-marqueur comme les performances de locomotion pour suivre les dynamiques sur l’ensemble de la durée de vie à différentes échelles. Elles apportent aussi un regard novateur sur la progression des performances avec l’âge, en intégrant à la fois les processus de développement et de vieillissement, permettant ainsi de préciser les pics physiologiques et la forme des progressions des performances sur toute la durée de la vie.
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- 2016
40. Déterminants de la mortalité des personnes diabétiques de type 2. Cohortes Entred, France, 2002-2013
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Piffaretti, Clara, Fagot-Campagna, Anne, Rey, Grégoire, Antero-Jacquemin, Juliana, Latouche, Aurélien, Mandereau-Bruno, Laurence, Fosse-Edorh, Sandrine, Santé publique France - French National Public Health Agency [Saint-Maurice, France], Caisse Nationale d'Assurance Maladie des Travailleurs salariés (CNAMTS), Ministère de l'économie et des finances, Centre d'épidémiologie sur les causes médicales de décès (CépiDc), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Institut national du sport, de l'expertise et de la performance (INSEP), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Quaireau, Valérie, and Institut national du sport, de l'expertise et de la performance (INSEP)-Université de Paris (UP)
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Facteurs de risque ,Risk factors ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Cohort studies ,Analyse de survie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Mortality ,Survival analysis ,Diabetes Type 2 ,Mortalité ,Études de cohorte ,Diabète de type 2 - Abstract
Introduction: Mortality of people with diabetes is still high in France, as is their excess mortality compared with the general population. In this context, it is essential to understand the determinants of mortality in people with diabetes. The objective of this study was to examine the determinants of mortality in people with type 2 diabetes.Methods: The study population consisted in people with type 2 diabetes that replied to a self-administered questionnaire from the ENTRED 2001 and the ENTRED 2007 surveys. Participants were followed up until February 2013. Survival analyses were performed with a Cox model using age as a time scale. A subgroup analysis was conducted among participants for whom physicians had replied to a questionnaire.Results: Among the 7,218 participants, median age at inclusion and death were 65 and 72 years, respectively. The proportion of deaths was 21%.In multivariate analysis, determinants of mortality were: non-morbid obesity (RR=1.21, 95%CI: [1.02-1.43]) and morbid obesity (RR=1.76 [1.43-2.18]), diagnosis of diabetes established after symptoms (RR=1.19 [1.03-1.37]) rather than after a screening and tobacco consumption (RR=1.49 [1.26-1.77]), along with the fact of being a man (RR=1.76 [1.53-2.02]), participation in the 2007 ENTRED cohort vs. 2001 ENTRED cohort (RR=0.84 [0.74-0.95]), socio-economic category (with an excess risk in blue-collar workers (RR=1.36 [1.11-1.67]) compared to executives), registration for long term illness exemption (RR=1.29 [1.08-1.54]), treatment by insulin alone (RR=1.45 [1.21-1.74]) or by insulin and one or more oral antidiabetic drugs (RR=1.37 [1.12-1.68]) compared to a treatment based on one oral antidiabetic drug only, foot or renal complications (RR=1.97 [1.68-2.31]) and coronary complications (RR=1.39 [1.22-1.59]).Conclusion: Some determinants identified are widely modifiable. These results highlight the importance of prevention, which must involve appropriate therapeutic education in order to change lifestyles of people with type 2 diabetes, and improve the management of complications. This prevention must be adapted to the socio-economic profile of people with diabetes to reduce social inequalities observed in mortality linked with diabetes., Introduction : La mortalité des personnes diabétiques reste élevée en France, de même que leur surmortalité par rapport à la population générale. Dans ce contexte, la compréhension des déterminants de la mortalité des personnes diabétiques, peu étudiés en France, est essentielle. L’objectif de notre étude était d’étudier les déterminants de la mortalité des personnes diabétiques de type 2.Méthodes : La population d’étude était composée des personnes diabétiques de type 2 ayant répondu à un auto-questionnaire dans le cadre des enquêtes Entred 2001 ou Entred 2007. Les participants ont été suivis jusqu’en février 2013. Les analyses de survie ont été réalisées à partir d’un modèle de Cox utilisant l’âge comme échelle de temps. Une analyse de sous-groupe a été réalisée sur les personnes dont le médecin avait répondu à un questionnaire.Résultats : Parmi les 7 218 personnes incluses, les âges moyens à l’inclusion et au décès étaient respectivement de 65 et 72 ans. La proportion de décès était de 21%.En analyse multivariée, les déterminants de la mortalité étaient : l’obésité non morbide (RR=1,21, IC95%: [1,02-1,43]) et l’obésité morbide (RR=1,76 [1,43-2,18]), le diagnostic de diabète posé suite à des symptômes (RR=1,19 [1,03-1,37]) plutôt que suite à un dépistage et la consommation de tabac (RR=1,49 [1,26-1,77]), ainsi que le sexe masculin (RR=1,76 [1,53-2,02]), l’appartenance à la cohorte Entred 2007 par rapport à Entred 2001 (RR=0,84 [0,74-0,95]), le niveau socioéconomique (avec un sur-risque notamment chez les ouvriers (RR=1,36 [1,11-1,67]) par rapport aux cadres), le fait de bénéficier d’une affection longue durée (RR=1,29 [1,08-1,54]), le traitement par insuline seule (RR=1,45 [1,21-1,74]) ou par insuline associée à un ou des antidiabétiques oraux (RR=1,37 [1,12-1,68]) par rapport à un traitement par un seul antidiabétique oral et les complications podologiques ou rénales graves (RR=1,97 [1,68-2,31]) et coronaires (RR=1,39 [1,22-1,59]).Conclusion : Certains déterminants mis en évidence sont largement modifiables. Ces résultats rappellent l’importance de la prévention, qui doit passer par une éducation thérapeutique adaptée, afin de modifier le mode de vie des personnes diabétiques de type 2 et d’améliorer la prise en charge des complications. Cette prévention doit être adaptée au profil socioéconomique de la personne diabétique afin de réduire les inégalités sociales observées dans la mortalité liée au diabète.
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- 2016
41. L'innovation technologique, clef de l'entraînement de la puissance et de la vitesse
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Hager, Robin, Guilhem, Gaël, DOREL, Sylvain, Nordez, Antoine, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Université de Nantes (UN), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), and Université de Nantes ( UN )
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[SHS.SPORT]Humanities and Social Sciences/Sport ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,[ SHS.SPORT.ITS ] Humanities and Social Sciences/Sport/Sport engineering and technology ,ComputingMilieux_MISCELLANEOUS ,[SHS.SPORT.ITS]Humanities and Social Sciences/Sport/Sport engineering and technology - Abstract
National audience
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- 2016
42. Neuromuscular adjustments to unweighted running: the increase in hamstring activity is sensitive to trait anxiety
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Fazzari, Camille, Macchi, Robin, Ressam, Camélia, Kunimasa, Yoko, Nicol, Caroline, Martha, Cécile, Bolmont, Benoit, Sainton, Patrick, Hays, Arnaud, Vercruyssen, Fabrice, Lapole, Thomas, Bossard, Martin, Casanova, Rémy, Bringoux, Lionel, Chavet, Pascale, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), French Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), École Centrale de Marseille (ECM), Niigata University, Laboratoire lorrain de psychologie et neurosciences de la dynamique des comportements (2LPN), Université de Lorraine (UL), Impact de l'Activité Physique sur la Santé (IAPS), Université de Toulon (UTLN), Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM ), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire sur la Perception, les Intéractions, les Comportements et la Simulation des usagers de la route et de la rue (COSYS-PICS-L), Université Gustave Eiffel, and This study was funded by the Centre National d’Études Spatiales (CNES, https://cnes.fr/fr), Département des Sciences de la Vie et de Médecine Spatiale (grant agreement no: DAR 4800001107).
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reloading ,trait anxiety ,[SDV]Life Sciences [q-bio] ,lower body positive pressure ,running ,unweighting ,neuromuscular adjustments ,repeatability - Abstract
International audience; Introduction: Originally developed for astronauts, lower body positive pressure treadmills (LBPPTs) are increasingly being used in sports and clinical settings because they allow for unweighted running. However, the neuromuscular adjustments to unweighted running remain understudied. They would be limited for certain lower limb muscles and interindividually variable. This study investigated whether this might be related to familiarization and/or trait anxiety. Methods: Forty healthy male runners were divided into two equal groups with contrasting levels of trait anxiety (high, ANX+, n = 20 vs. low, ANX−, n = 20). They completed two 9-min runs on a LBPPT. Each included three consecutive 3-min conditions performed at 100%, 60% (unweighted running), and 100% body weight. Normal ground reaction force and electromyographic activity of 11 ipsilateral lower limb muscles were analyzed for the last 30 s of each condition in both runs. Results: Unweighted running showed muscle- and stretch-shortening cycle phase-dependent neuromuscular adjustments that were repeatable across both runs. Importantly, hamstring (BF, biceps femoris; STSM, semitendinosus/semimembranosus) muscle activity increased during the braking (BF: +44 ± 18%, p < 0.001) and push-off (BF: +49 ± 12% and STSM: +123 ± 14%, p < 0.001 for both) phases, and even more so for ANX+ than for ANX−. During the braking phase, only ANX+ showed significant increases in BF (+41 ± 15%, p
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- 2023
43. Boxe : comment mieux comprendre les combats pour aider les athlètes grâce à l’analyse vidéo
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Saulière, Guillaume, Fruchard, Bruno, Reveret, Lionel, Goyallon, Thibault, Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - URP_7329), Institut national du sport, de l'expertise et de la performance (INSEP)-Université Paris Cité (UPCité), Technology and knowledge for interaction (LOKI), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), and ANR-20-STHP-0003,PERFANALYTICS,Analyse in situ de la performance(2020)
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[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph] ,[INFO]Computer Science [cs] - Abstract
International audience
- Published
- 2023
44. Effects of repeated-sprint training in hypoxia induced by voluntary hypoventilation on performance during ice hockey off-season
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Franck Brocherie, Gregory Cantamessi, Grégoire P. Millet, Xavier Woorons, French Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Institute of Sport Sciences of University of Lausanne (ISSUL), Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 (URePSSS), and Université d'Artois (UA)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille
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[SDV]Life Sciences [q-bio] ,[SHS.SPORT.PS]Humanities and Social Sciences/Sport/Sport physiology ,human activities ,Social Sciences (miscellaneous) - Abstract
This study aimed to assess the effects of an off-season period of repeated-sprint training in hypoxia induced by voluntary hypoventilation at low lung volume (RSH-VHL) on off-ice repeated-sprint ability (RSA) in ice hockey players. Thirty-five high-level youth ice hockey players completed 10 sessions of running repeated sprints over a 5-week period, either with RSH-VHL (n = 16) or with unrestricted breathing (RSN, n = 19). Before (Pre) and after (Post) the training period, subjects performed two 40-m single sprints (to obtain the reference velocity (Vref)) followed by a running RSA test (12 × 40 m all-out sprints with departure every 30 s). From Pre to Post, there was no change in Vref or in the maximal velocity reached in the RSA test in both groups. In RSH-VHL, the mean velocity of the RSA test was higher (88.9 ± 5.4 vs. 92.9 ± 3.2% of Vref; p < 0.01) and the percentage decrement score lower (11.1 ± 5.2 vs. 7.1 ± 3.3; p < 0.01) at Post than at Pre whereas no significant change occurred in the RSN group (89.6 ± 3.3 vs. 91.3 ± 1.9% of Vref, p = 0.11; 10.4 ± 3.2 vs. 8.7 ± 2.3%; p = 0.13). In conclusion, five weeks of off-ice RSH-VHL intervention led to a significant 4% improvement in off-ice RSA performance. Based on previous findings showing larger effects after shorter intervention time, the dose-response dependent effect of this innovative approach remains to be investigated.
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- 2023
45. A comparison of unsupervised curve classification methods for sport training data
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Lefort, Gaëlle, Avalos, Marta, Soret, Perrine, David, Pyne, Toussaint, Jean-François, Hellard, Philippe, Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (ENSAI), Statistics In System biology and Translational Medicine (SISTM), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)- Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux (UB), Vaccine Research Institute (VRI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Australian Institute of Sport, Institut national du sport, de l'expertise et de la performance (INSEP), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Université Paris Descartes - Paris 5 (UPD5), Fédération Française de Natation (FFN), This research was partially funded by the French Institute of Sport, Expertise and Performance (INSEP) under grant no14r21., The International Society for NonParametric Statistics (ISNPS), Ecole Nationale de la Statistique et de l'Analyse de l'Information ( ENSAI ), Ensai, Ecole Nationale de la Statistique et de l'Analyse de l'Information, Statistics In System biology and Translational Medicine ( SISTM ), Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Université de Bordeaux ( UB ), Institut national du sport, de l'expertise et de la performance ( INSEP ), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut national du sport, de l'expertise et de la performance ( INSEP ), Université Paris Descartes - Paris 5 ( UPD5 ), Fédération Française de Natation ( FFN ), Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Avalos, Marta
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[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[STAT.ME] Statistics [stat]/Methodology [stat.ME] ,[ STAT.AP ] Statistics [stat]/Applications [stat.AP] ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG] ,[STAT.CO] Statistics [stat]/Computation [stat.CO] ,[STAT.ML] Statistics [stat]/Machine Learning [stat.ML] ,[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG] ,Functional data analysis ,[ STAT.ME ] Statistics [stat]/Methodology [stat.ME] ,[STAT.AP] Statistics [stat]/Applications [stat.AP] ,[STAT.ML]Statistics [stat]/Machine Learning [stat.ML] ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Longitudinal data analysis ,Sport science data ,[STAT.CO]Statistics [stat]/Computation [stat.CO] ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML] ,[ STAT.CO ] Statistics [stat]/Computation [stat.CO] - Abstract
International audience; Achieving peak performance at a specified time is the primary goal of athletes’ training programs. To optimize performance and reduce the risk of injury, a comprehensive list of training program parameters (e.g. intensity, volume, frequency, distribution, duration and type) requires careful management. This work focuses on clustering of time evolution curves of training measurements.Training data are recorded densely over time. However, duration of follow-up and duration of the seasons vary among subjects. Also, subject-specific variation can induce substantial error. Functional data analysis (FDA) and longitudinal data analysis (LDA) are the main approaches to analyze repeated measures data (in which multiple measurements are made on the same subject across time). Typically, FDA is applied when the data are dense, assumed to be observed in the continuum, and a function of time. LDA is usually applied when data are sparse, possibly with different number of measurements across individuals, and subject to error. We compared several FDA and LDA methods implemented through publicly available R code: k-means based on the standard Euclidian distance, a discrete Fréchet distance [2], and a functional distance [1]; Gaussian mixture model–based clustering for standard [4], longitudinal [5] and functional [3] data; and latent class mixed models [6]. We discuss advantages and limitations including computational and practical aspects.References[1] Febrero-Bande, M. and Oviedo de la Fuente, M. (2012). Statistical computing in functional data analysis: the R package fda.usc. Journal of Statistical Software, 51, 1–28.[2] Genolini, C. and Falissard, B. (2011). Kml : A package to cluster longitudinal data. Computer Methods and Programs in Biomedicine.[3] Jacques, J. and Preda, C. (2013). Funclust: A curves clustering method using functional random variables density approximation. Neurocomputing, 112, 164–171.[4] Lebret, R., Iovleff, S., Langrognet, F., Biernacki, C., Celeux, G., and Govaert, G. (2014). Rmixmod: The R package of the model–based unsupervised, supervised and semi–supervised classification mixmod library. Journal of Statistical Software.[5] McNicholas, P. D. and Murphy, T. B. (2010). Model–based clustering of longitudinal data. Canadian Journal of Statistics, 38, 153–168.[6] Proust-Lima, C., Philipps, V., and Liquet, B. (2015). Estimation of extended mixed models using latent classes and latent processes: the R package lcmm. Technical report, University of Bordeaux. arXiv:1503.00890v2.
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- 2016
46. The life of high-level athletes: The challenge of high performance against the time constraint
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Rémi Richard, Fabrice Burlot, Hélène Joncheray, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Santé, Education et Situations de Handicap (SantESiH), Université de Montpellier (UM), Université Paris Descartes - Faculté des Sciences humaines et sociales - Sorbonne (UPD5 SHS), Université Paris Descartes - Paris 5 (UPD5), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), Université de Montpellier ( UM ), and Université Paris Descartes - Paris 5 ( UPD5 )
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acceleration of pace of life ,Sociology and Political Science ,Context (language use) ,high-level ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,[SHS]Humanities and Social Sciences ,03 medical and health sciences ,[ SHS.SPORT.SHPS ] Humanities and Social Sciences/Sport/Human, political & social sport sciences ,0302 clinical medicine ,Quality of life (healthcare) ,time constraints ,Order (exchange) ,0502 economics and business ,Time constraint ,Operations management ,Marketing ,ComputingMilieux_MISCELLANEOUS ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,biology ,Unit of time ,Athletes ,05 social sciences ,030229 sport sciences ,biology.organism_classification ,Wonder ,Work (electrical) ,Psychology ,sport ,050212 sport, leisure & tourism ,Social Sciences (miscellaneous) ,performance - Abstract
International audience; The conditions for high performance have changed considerably over the last few years. Athletes must spend more time training and competing, devote a lot of time to mental, physical and nutritional professionals and continue to respond to some constraints such as studying, spending time with their families, friends and quality of life. In this context and based on the work of Rosa, we wonder about the capacity of elite athletes to combine all these constraints, namely to manage the acceleration in their pace of life, in order to be able to achieve always more and better in the same time unit. To address this issue, we interviewed 42 French high-level athletes who train at the National Institute of Sport, Expertise and Performance (INSEP). Results show that to suit their goals, athletes implement arrangement and adjustment strategies aimed at making the time they have wholly useful and efficient. This time constraint puts athletes in a perpetual state of tension, on the verge of a good or poor life. The paper shows how the question of time, and particularly the acceleration of pace of life, is vital for modern sporting performance.
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- 2016
47. Mindfulness May Moderate the Relationship Between Intrinsic Motivation and Physical Activity: A Cross-Sectional Study
- Author
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Marjorie Bernier, Nicolas Juge, Alexis Ruffault, Jean F. Fournier, Institut national du sport, de l'expertise et de la performance (INSEP), Laboratoire de Psychopathologie et Processus de Santé (LPPS - EA 4057), Université Paris Descartes - Paris 5 (UPD5), Laboratoire Interdisciplinaire de Recherche sur les Transformations des pratiques Éducatives et des pratiques Sociales (LIRTES), Université Paris-Est (UPE)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Mindeval, Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est (UPE), Institut national du sport, de l'expertise et de la performance ( INSEP ), Laboratoire de Psychopathologie et Processus de Santé ( LPPS - EA 4057 ), Université Paris Descartes - Paris 5 ( UPD5 ), Laboratoire Interdisciplinaire de Recherche sur les Transformations des pratiques Éducatives et des pratiques Sociales ( LIRTES ), and Université Paris-Est ( UPE )
- Subjects
medicine.medical_specialty ,Health (social science) ,Mindfulness ,Psychotherapist ,Social Psychology ,Cross-sectional study ,Physical activity ,Increased physical activity ,[SHS.PSY]Humanities and Social Sciences/Psychology ,050109 social psychology ,Experimental and Cognitive Psychology ,Developmental psychology ,[ SHS.PSY ] Humanities and Social Sciences/Psychology ,03 medical and health sciences ,0302 clinical medicine ,Developmental and Educational Psychology ,medicine ,Intrinsic motivation ,0501 psychology and cognitive sciences ,030212 general & internal medicine ,Students ,Health behavior ,Applied Psychology ,Motivation ,Public health ,05 social sciences ,Physical activity level ,Psychology - Abstract
International audience; This study aims to characterize the relationships between intrinsic motivation towards physical activity, mindfulness, and physical activity level. We measured self-reported mindfulness, motivational regulation towards exercise, and physical activity level in 280 French students. Analyses conducted on 244 participants revealed that self-reported mindfulness moderates the relationship between intrinsic motivation towards exercise and physical activity levels. These findings may have implications for interventionists seeking to promote increased physical activity with mindfulness-based techniques. In fact, it seems that increasing mindfulness skills of individuals could improve their intrinsic motivation to exercise and thus, physical activity.
- Published
- 2016
48. The effect of constitutive inactivation of the myostatin gene on the gain in muscle strength during postnatal growth in two murine models
- Author
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Stantzou , Amalia, Ueberschlag-Pitiot , Vanessa, Thomasson , Remi, Furling , Denis, Bonnieu , Anne, Amthor , Helge, Ferry , Arnaud, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche biomédicale et d’épidémiologie du sport (IRMES - EA 7329), Université Paris Descartes - Paris 5 (UPD5)-Institut national du sport, de l'expertise et de la performance (INSEP), Centre de recherche en myologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Dynamique Musculaire et Métabolisme (DMEM), Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM), Université Paris Descartes - Paris 5 (UPD5), HAL-UPMC, Gestionnaire, Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche biomédicale et d’épidémiologie du sport ( IRMES - EA 7329 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut national du sport, de l'expertise et de la performance ( INSEP ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Association française contre les myopathies ( AFM-Téléthon ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Dynamique Musculaire et Métabolisme ( DMEM ), Institut National de la Recherche Agronomique ( INRA ) -Université de Montpellier ( UM ), and Université Paris Descartes - Paris 5 ( UPD5 )
- Subjects
Male ,Mice, Knockout ,orchidectomy ,postnatal growth ,knockout ,castration ,power ,Disease Models, Animal ,Mice ,Sex Factors ,Animals, Newborn ,Muscular Diseases ,myostatin ,[SDV.BDD] Life Sciences [q-bio]/Development Biology ,Animals ,Female ,[ SDV.BDD ] Life Sciences [q-bio]/Development Biology ,Muscle Strength ,skeletal muscle ,Muscle, Skeletal ,force ,[SDV.BDD]Life Sciences [q-bio]/Development Biology ,Muscle Contraction - Abstract
International audience; The effect of constitutive inactivation of the gene encoding myostatin on the gain in muscle performance during postnatal growth hsa not been well characterized. Methods. We analyzed 2 murine myostatin knockout (KO) models: i) the Lee model (KOLee) and ii) the Grobet model (KOGrobet), and measured the contraction of tibialis anterior muscle in situ. Results. Absolute maximal isometric force was increased in 6-month old KOLee and KOGrobet mice, as compared to wild-type mice. Similarly, absolute maximal power was increased in 6-month old KOLee mice. In contrast, specific maximal force (relative maximal force per unit of muscle mass was decreased in all 6-month old male and female KO mice, except in 6-month old female KOGrobet mice, whereas specific maximal power was reduced only in male KOLee mice. Discussion. Genetic inactivation of myostatin increases maximal force and power, but in return it reduces muscle quality, particularly in male mice.
- Published
- 2016
49. Violence, aggressive behaviors, sport and physical activities. A confrontation of points of view
- Author
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Joncheray, Hélène, Dugas, Eric, Richard, Rémi, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), École supérieure du professorat et de l'éducation - Académie de Bordeaux (ESPE Aquitaine), Université de Bordeaux (UB), Université Paris Descartes - Paris 5 (UPD5), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), École supérieure du professorat et de l'éducation - Académie de Bordeaux ( ESPE Aquitaine ), Université de Bordeaux ( UB ), and Université Paris Descartes - Paris 5 ( UPD5 )
- Subjects
Comportement agressif ,[ SHS.SPORT.SHPS ] Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,Activités physiques et sportives - Abstract
International audience; La violence existe de tout temps, elle est consubstantielle à l’homme car « la relation humaineest une relation violente » (Pain, 2006). Un halo définitoire entoure ce vocable car la violence estprotéiforme et déclinée diversement selon le point de vue adopté et les époques. Il est vrai qu’àl’épreuve du temps, certains concepts sont passés d’une coloration positive à une coloration plusnégative, l’inverse étant vrai (Dugas, 2015).
- Published
- 2016
50. Les rythmes de vie des sportifs de haut niveau : le défi de la performance face à la contrainte de temps
- Author
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Burlot , Fabrice, Le Mancq , Fanny, Lefevre , Brice, Mignon , Patrick, Macquet , Anne-Claire, Richard , Rémy, Adam , Charles-Éric, Julla-Marcy , Mathilde, French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Institut national du sport, de l'expertise et de la performance (INSEP), Centre d'étude sport et actions motrices (CesamS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre de Recherche et d'Innovation sur le Sport (EA647) (CRIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université de Montpellier (UM), Groupe d'étude pour l'Europe de la culture et de la solidarité (GEPECS), Université Paris Descartes - Paris 5 (UPD5), Centre de Recherche sur le Sport et le Mouvement (CeRSM), Université Paris Nanterre (UPN), Ministère de la ville, de la jeunesse et des sports, Institut National du Sport, de l'Expertise et de la Performance, Normandie Université (NU), Université de Lyon, French Institute of Sport (INSEP), Laboratory Sport, Expertise and Performance (EA7370) (SEP (EA7370)), Laboratoire sur les Vulnérabilités et l'Innovation dans le Sport (EA 7428) (L-VIS), French Institute of Sport (INSEP), Research Department, Laboratory Sport, Expertise and Performance (EA7370) ( SEP (EA7370) ), Institut national du sport, de l'expertise et de la performance ( INSEP ), Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ), Centre d'étude sport et activités motrices ( CesamS ), Normandie Université ( NU ) -Normandie Université ( NU ), Centre de Recherche et d'Innovation sur le Sport (EA647) ( CRIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Montpellier ( UM ), Groupe d'étude pour l'Europe de la culture et de la solidarité ( GEPECS ), Université Paris Descartes - Paris 5 ( UPD5 ), Centre de Recherche sur le Sport et le Mouvement ( CeRSM ), and Université Paris Nanterre ( UPN )
- Subjects
[ SHS.SPORT.SHPS ] Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[SHS.SPORT]Humanities and Social Sciences/Sport ,[SHS.SPORT.SHPS]Humanities and Social Sciences/Sport/Human, political & social sport sciences ,[ SHS.SPORT ] Humanities and Social Sciences/Sport ,[SHS]Humanities and Social Sciences - Published
- 2016
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