Search

Your search keyword '"Mehdi Menai"' showing total 32 results
Start Over Author "Mehdi Menai"
32 results on '"Mehdi Menai"'

1. The association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokers

Author

Mohamed Amine Benadjaoud, Mehdi Menai, Vincent T. van Hees, Vadim Zipunnikov, Jean-Philippe Regnaux, Mika Kivimäki, Archana Singh-Manoux, and Séverine Sabia

Subjects
Medicine, Science
Abstract

Abstract The association between physical activity and lung function is thought to depend on smoking history but most previous research uses self-reported measures of physical activity. This cross-sectional study investigates whether the association between accelerometer-derived physical activity and lung function in older adults differs by smoking history. The sample comprised 3063 participants (age = 60–83 years) who wore an accelerometer during 9 days and undertook respiratory function tests. Forced vital capacity (FVC) was associated with moderate-to-vigorous physical activity (MVPA; acceleration ≥0.1 g (gravity)) in smokers but not in never smokers: FVC differences for 10 min increase in MVPA were 58.6 (95% Confidence interval: 21.1, 96.1), 27.8 (4.9, 50.7), 16.6 (7.9, 25.4), 2.8 (−5.2, 10.7) ml in current, recent ex-, long-term ex-, and never-smokers, respectively. A similar trend was observed for forced expiratory volume in 1 second. Functional data analysis, a threshold-free approach using the entire accelerometry distribution, showed an association between physical activity and lung function in all smoking groups, with stronger association in current and recent ex-smokers than in long-term ex- and never-smokers; the associations were evident in never smokers only at activity levels above the conventional 0.1 g MVPA threshold. These findings suggest that the association between lung function and physical activity in older adults is more pronounced in smokers than non-smokers.

Published
2019
Full Text
View/download PDF

2. Large-Scale Assessment of Health-Related Physical Fitness in French Older Adults: Feasibility and Validity

Author

Damien Mack-Inocentio, Mehdi Menai, Eric Doré, Bastien Doreau, Camille Gaillard, Julien Finaud, Bruno Pereira, and Pascale Duché

Subjects
validity, physical activity, older people, test battery, physical fitness, Public aspects of medicine, RA1-1270
Abstract

Objectives: This study aims to assess the validity, internal consistency, implementation, and feasibility of a sequence of tests, the Vitality Test Battery, designed to measure physical fitness, at a large scale in French older adults.Methods: A total of 528 volunteers (age ≥60 years) took the battery of 10 tests: 6-min walk, trunk strength, hand grip strength, medicine ball throwing, 30-s chair stand, flexibility, balance, plate tapping, ruler drop, and dual task.Results: Internal consistency was high, with the Cronbach alpha coefficients at around 0.77, explaining 64% of the variance. The test–retest correlations (0.3–0.6) between the items were acceptable and displayed an internal consistency property. Although five components explained 65% of the variance, all the items were kept because their eigenvalues were near to 0.9. External consistency was validated by a significant decrease in fitness scores (p < 0.001) with age and body mass index.Discussion: The Vitality Test Battery is a safe, valid tool for assessing physical fitness in persons aged over 60 years.

Published
2020
Full Text
View/download PDF

3. Differential Associations of Walking and Cycling with Body Weight, Body Fat and Fat Distribution - the ACTI-Cités Project

Author

Mehdi Menai, Hélène Charreire, Pilar Galan, Chantal Simon, Julie-Anne Nazare, Camille Perchoux, Christiane Weber, Christophe Enaux, Serge Hercberg, Léopold Fezeu, and Jean-Michel Oppert

Subjects
Obesity, Physical activity, Epidemiology, Nutrition. Foods and food supply, TX341-641, Nutritional diseases. Deficiency diseases, RC620-627
Abstract

Background: Research on the associations between walking and cycling with obesity-related phenotypes is growing but relies mostly on the use of BMI. The purpose of this study was to analyze associations of walking and cycling behaviors assessed separately with various obesity markers in French adults. Methods: In 12,776 adult participants (71.3% women) of the on-going NutriNet Santé web-cohort, we assessed by self-report past-month walking and cycling (for commuting, errands and leisure), and obesity measures were taken during a visit at a clinical center (weight, height, waist circumference, and percent body fat by bioimpedance). Results: In analyses not taking into account other types of physical activity (household, leisure), walking more than 2.5 h/week was associated in women with lower weight (-1.8 kg), waist circumference (-1.7 cm) and percent body fat (-1.1%) (all p Conclusion: These results show important differences between walking and cycling in their association with obesity markers in men and women. These findings provide some evidence for the need to consider separately walking and cycling when designing public health measures for prevention of obesity in adults.

Published
2018
Full Text
View/download PDF

4. Cross-Sectional and longitudinal associations of objectively-measured physical activity on blood pressure: evaluation in 37 countries

Author

Mehdi Menai, Benoit Brouard, Matthieu Vegreville, Angela Chieh, Nicolas Schmidt, Jean-Michel Oppert, Hélène Lelong, and Paul D. Loprinzi

Subjects
Epidemiology, Step counts, Blood pressure, Connected Objects, Nutrition. Foods and food supply, TX341-641, Public aspects of medicine, RA1-1270
Abstract

Background: We examined the cross-sectional and longitudinal associations of objectively measured physical activity (step counts) and blood pressure (BP) among adults spanning 37countries.Methods: Across 37 countries, we used data from a pool of 9238 adult owners of Withings’ Pulse activity trackers, which measures steps taken each day, and Wireless Blood Pressure Monitor, which measures BP. Analyses were adjusted on age, sex, number of days where the tracker was worn, and number of BP measurements. Data was collected from 2009 to 2013.Results: Subjects had a mean ± standard deviation (SD) age of 51.6 ± 11.3 years and a body mass index (BMI) of 28.7±5.5 kg/m2. A 1-month increase of more than 3000 steps per day was associated with a decrease of systolic BP (SBP) and diastolic BP (DBP) among the obese (1.57mm Hg and 1.29 mm Hg respectively, both P

Published
2017
Full Text
View/download PDF

5. Neighborhood educational disparities in active commuting among women: the effect of distance between the place of residence and the place of work/study (an ACTI-Cités study)

Author

Camille Perchoux, Julie-Anne Nazare, Tarik Benmarhnia, Paul Salze, Thierry Feuillet, Serge Hercberg, Franck Hess, Mehdi Menai, Christiane Weber, Hélène Charreire, Christophe Enaux, Jean-Michel Oppert, and Chantal Simon

Subjects
Active commuting, Neighborhood education, Distance to work, Effect measure modification, Social environment, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Active transportation has been associated with favorable health outcomes. Previous research highlighted the influence of neighborhood educational level on active transportation. However, little is known regarding the effect of commuting distance on social disparities in active commuting. In this regard, women have been poorly studied. The objective of this paper was to evaluate the relationship between neighborhood educational level and active commuting, and to assess whether the commuting distance modifies this relationship in adult women. Methods This cross-sectional study is based on a subsample of women from the Nutrinet-Santé web-cohort (N = 1169). Binomial, log-binomial and negative binomial regressions were used to assess the associations between neighborhood education level and (i) the likelihood of reporting any active commuting time, and (ii) the share of commuting time made by active transportation modes. Potential effect measure modification of distance to work on the previous associations was assessed both on the additive and the multiplicative scales. Results Neighborhood education level was positively associated with the probability of reporting any active commuting time (relative risk = 1.774; p

Published
2017
Full Text
View/download PDF

6. Promoting physical activity in a low-income neighborhood of the Paris suburb of Saint-Denis: effects of a community-based intervention to increase physical activity

Author

Camille Buscail, Mehdi Menai, Benoît Salanave, Paul Daval, Marjorie Painsecq, Pierre Lombrail, Serge Hercberg, and Chantal Julia

Subjects
Physical activity, Community-based promotion program, RPAQ, Social inequalities for health, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Physical activity (PA) is a key factor for facing the increasing prevalence of obesity and overweight, and should be part of every public health programs. In this context, a community-based public health program promoting PA was developed in a low-income neighborhood of the city of Saint-Denis (France). Methods This work aimed at assessing the effectiveness of a 2-year PA promotion program. A quasi-experimental study was carried out using a pre/post design, with an assessment before (2013) and after (2015) the program. The interviewees were selected using a stratified random cluster sampling. The primary outcome was the proportion of participants practicing sufficient PA (WHO guidelines), and was measured using the RPAQ questionnaire. External interventions (on both neighborhood environment and inhabitants) were listed. Results We collected 199 questionnaires at baseline and 217 in 2015. There was a majority of women in both samples: 64.3 % in 2013 and 58.2 % in 2015. The average age of participants was 38.1 years (+/−1.1) and 40.6 (+/−1.1) respectively. The proportion of people practicing sufficient PA was modified from 48.1 % in 2013 to 63.5 % in 2015 (p = 0.001). This was mainly driven by women whose level of PA, increased from 40.3 % to 60.3 % (p = 0.002), reaching the average national French estimation of PA level among adults (63.5 %). Conclusions This work showed a significant increase of the proportion of people practicing PA in a disadvantaged neighborhood where a community-based program promoting PA was developed. Simultaneous external interventions contributed to the results, showing the necessity of synergic interventions to reach efficiency.

Published
2016
Full Text
View/download PDF

7. Active Mobility and Environment: A Pilot Qualitative Study for the Design of a New Questionnaire.

Author

Franck Hess, Paul Salze, Christiane Weber, Thierry Feuillet, Hélène Charreire, Mehdi Menai, Camille Perchoux, Julie-Anne Nazare, Chantal Simon, Jean-Michel Oppert, and Christophe Enaux

Subjects
Medicine, Science
Abstract

It is generally accepted that active mobility, mainly walking and cycling, contributes to people's physical and mental health. One of the current challenges is to improve our understanding of this type of behaviour. This study aims to identify factors from the daily-life environment that may be related to active mobility behaviours, in order to design a new questionnaire for a quantitative study of a large adult population. The new questionnaire obtained through this pilot study combines information from interviews with existing questionnaires materials in order to introduce new factors while retaining the factors already assessed. This approach comprises three stages. The first was a content analysis (Reinert method) of interviews with a sample of participants about daily living activities as well as mobility. This stage led to a typology of factors suggested by interviews. The second was a scoping review of the literature in order to identify the active mobility questionnaires currently used in international literature. The last stage was a cross-tabulation of the factors resulting from the written interviews and the questionnaires. A table of the inter-relationships between the interview-based typology and the questionnaires shows discrepancies between factors considered by the existing questionnaires, and factors coming from individual interviews. Independent factors which were ignored in or absent from the questionnaires are the housing situation within the urban structure, overall consideration of the activity space beyond the limits of the residential neighbourhood, the perception of all the transportation modes, and the time scheduling impacting the modes actually used. Our new questionnaire integrates both the usual factors and the new factors that may be related to active mobility behaviours.

Published
2017
Full Text
View/download PDF

8. Changes in sedentary behaviours and associations with physical activity through retirement: a 6-year longitudinal study.

Author

Mehdi Menai, Léopold Fezeu, Hélène Charreire, Emmanuelle Kesse-Guyot, Mathilde Touvier, Chantal Simon, Christiane Weber, Valentina A Andreeva, Serge Hercberg, and Jean-Michel Oppert

Subjects
Medicine, Science
Abstract

Changes in sedentary behaviours and physical activity according to retirement status need to be better defined. Retirement is a critical life period that may influence a number of health behaviours. We assessed past-year sedentary behaviours (television, computer and reading time during leisure, occupational and domestic sitting time, in h/week) and physical activity (leisure, occupational and domestic, in h/week) over 6 years (2000-2001 and 2007) using the Modifiable Activity Questionnaire in 2,841 participants (mean age: 57.3±5.0 y) of the SU.VI.MAX (Supplementation with Antioxidants and Minerals) cohort. Analyses were performed according to retirement status. Subjects retired in 2001 and 2007 (40%) were those who spent most time in sedentary behaviour and in physical activity during and outside leisure (p

Published
2014
Full Text
View/download PDF

9. Perceptions of the environment moderate the effects of objectively-measured built environment attributes on active transport. An ACTI-Cités study

Author

Julie-Anne Nazare, Camille Perchoux, Franck Hess, Paul Salze, Chantal Simon, Céline Roda, Mehdi Menai, Thierry Feuillet, Jean-Michel Oppert, Serge Hercberg, Christiane Weber, Marine M. Desgeorges, Hélène Charreire, Christophe Enaux, 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]), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Nutrition Humaine - Ile de France (CRNH - IDF), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), 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)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-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)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), LAB'URBA (LAB'URBA), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Gustave Eiffel, Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de Santé Publique [Avicenne], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet - Saint-Étienne (UJM)-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 Grenoble Alpes (UGA), Luxembourg Institute of Socio-Economic Research (LISER), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université de Paris (UP), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-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 Grenoble Alpes (UGA), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM), HESAM Université (HESAM)-HESAM Université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)

Subjects
CITES, genetic structures, Health Policy, media_common.quotation_subject, Transport time, Public Health, Environmental and Occupational Health, 030209 endocrinology & metabolism, Transportation, Sample (statistics), [SHS.GEO]Humanities and Social Sciences/Geography, Moderation, Pollution, 03 medical and health sciences, 0302 clinical medicine, Walkability, Perception, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 030212 general & internal medicine, Safety, Risk, Reliability and Quality, Construct (philosophy), Psychology, Safety Research, Social psychology, Built environment, media_common
Abstract

International audience; Purpose: Both perceived and objectively-measured attributes of the built environment have been related to active transport. They do not refer, however, to the same construct: objective measurements provide an inventory of a neighborhood?s active-friendly attributes, while the perceptions of individuals refer to their appraisal of their neighborhood opportunities for active travel. Both aspects are complementary in explaining active transport. This study examines the independent associations of perceived and objective environmental attributes with active transport, and whether perceptions moderate the objectively-measured environment active transport relationship.Methods: Based on a sample of 2670 participants from the NutriNet-Sante? Study (France), we examined (i) the concordance between perceptions and objective measurements of residentialbased environmental attributes using kappa statistics, (ii) the associations between perceived and objectively-measured attributes and active transport by trip purpose (commuting and errand) using zero-inflated negative-binomial regressions, and (iii) the potential moderation effect of perceptions on the associations between objectively-measured environmental attributes and active transport. Information related to demographics, perceptions and transport modes was collected in 2013.Results: A poor to fair level of agreement was observed between perceived , objectively -measured environmental attributes; both were associated with active transport for commuting and errands. Environmental correlates differed between the likelihood to engage in active transport and the time spent in transport. Perceptions positively moderated the associations be-tween active transport and objectively-measured walkability and access to facilities. The differ-ences in predicted active transport time between a high versus low perception of the environmental attributes for a given neighborhood ranged from 20 to 55 min for active commuting , from 84 to 37 min for active transport for errands.Conclusion: Associations between objectively-measured environmental attributes and active transport are dependent on individuals & rsquo; perceptions of opportunities provided by their residential neighborhood. Increasing individuals & rsquo; awareness of active-friendly environmental attributes may be crucial for enhancing active transport.

Published
2021

10. Large-Scale Assessment of Health-Related Physical Fitness in French Older Adults: Feasibility and Validity

Author

Pascale Duché, Camille Gaillard, Bastien Doreau, Bruno Pereira, Mehdi Menai, Eric Doré, Julien Finaud, Damien Mack-Inocentio, Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne (UCA)-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA), Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-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 Grenoble Alpes (UGA), Centre de Recherche en Nutrition Humaine - Ile de France (CRNH - IDF), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), Association Sportive Montferrandaise, Université d'Auvergne - Clermont-Ferrand I (UdA), 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, Impact de l'Activité Physique sur la Santé (IAPS), Université de Toulon (UTLN), Auvergne Regional Council (Conseil Regional d'Auvergne), European Commission, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-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 Grenoble Alpes (UGA), Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), ROSSI, Sabine, and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet - Saint-Étienne (UJM)-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 Grenoble Alpes (UGA)

Subjects
Test battery, medicine.medical_specialty, validity, Physical fitness, physical activity, Vitality, older people, 03 medical and health sciences, Grip strength, 0302 clinical medicine, Cronbach's alpha, medicine, Humans, 030212 general & internal medicine, Aged, Original Research, Hand Strength, business.industry, lcsh:Public aspects of medicine, Public Health, Environmental and Occupational Health, Reproducibility of Results, lcsh:RA1-1270, 030229 sport sciences, Middle Aged, Trunk, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Exercise Test, Physical therapy, physical fitness, Feasibility Studies, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, test battery, business, Psychology, Body mass index, Throwing
Abstract

Objectives: This study aims to assess the validity, internal consistency, implementation, and feasibility of a sequence of tests, the Vitality Test Battery, designed to measure physical fitness, at a large scale in French older adults.Methods: A total of 528 volunteers (age ≥60 years) took the battery of 10 tests: 6-min walk, trunk strength, hand grip strength, medicine ball throwing, 30-s chair stand, flexibility, balance, plate tapping, ruler drop, and dual task.Results: Internal consistency was high, with the Cronbach alpha coefficients at around 0.77, explaining 64% of the variance. The test–retest correlations (0.3–0.6) between the items were acceptable and displayed an internal consistency property. Although five components explained 65% of the variance, all the items were kept because their eigenvalues were near to 0.9. External consistency was validated by a significant decrease in fitness scores (p < 0.001) with age and body mass index.Discussion: The Vitality Test Battery is a safe, valid tool for assessing physical fitness in persons aged over 60 years.

Published
2020

11. The association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokers

Author

Jean Philippe Regnaux, Vadim Zipunnikov, Mika Kivimäki, Séverine Sabia, Mehdi Menai, Archana Singh-Manoux, Vincent T. van Hees, Mohamed Amine Benadjaoud, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Netherlands eScience Center, Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), École des Hautes Études en Santé Publique [EHESP] (EHESP), University College of London [London] (UCL), National Institute on Aging, NIAR01AG034454, R01AG056477Academy of Finland 311492National Heart, Lung, and Blood Institute, NHLBI R01HL036310Economic and Social Research Council, ESRC ES/J023299/1Health and Safety Executive, HSEBritish Heart Foundation, BHF PG/11/63/29011, RG/13/2/30098NordForskMedical Research Council, MRC R024227, S011676, K013351, and ATHENA, Irsn

Subjects
Male, 0301 basic medicine, Vital capacity, Cross-sectional study, [SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Science, Vital Capacity, Physical activity, Article, 03 medical and health sciences, FEV1/FVC ratio, 0302 clinical medicine, Forced Expiratory Volume, Accelerometry, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Humans, Medicine, Respiratory function, Exercise physiology, Signs and symptoms, Association (psychology), Exercise, ComputingMilieux_MISCELLANEOUS, Aged, Aged, 80 and over, Smokers, Multidisciplinary, business.industry, Non-Smokers, Middle Aged, Confidence interval, Circadian Rhythm, Respiratory Function Tests, respiratory tract diseases, Cross-Sectional Studies, 030104 developmental biology, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, 030217 neurology & neurosurgery, Demography
Abstract

The association between physical activity and lung function is thought to depend on smoking history but most previous research uses self-reported measures of physical activity. This cross-sectional study investigates whether the association between accelerometer-derived physical activity and lung function in older adults differs by smoking history. The sample comprised 3063 participants (age = 60–83 years) who wore an accelerometer during 9 days and undertook respiratory function tests. Forced vital capacity (FVC) was associated with moderate-to-vigorous physical activity (MVPA; acceleration ≥0.1 g (gravity)) in smokers but not in never smokers: FVC differences for 10 min increase in MVPA were 58.6 (95% Confidence interval: 21.1, 96.1), 27.8 (4.9, 50.7), 16.6 (7.9, 25.4), 2.8 (−5.2, 10.7) ml in current, recent ex-, long-term ex-, and never-smokers, respectively. A similar trend was observed for forced expiratory volume in 1 second. Functional data analysis, a threshold-free approach using the entire accelerometry distribution, showed an association between physical activity and lung function in all smoking groups, with stronger association in current and recent ex-smokers than in long-term ex- and never-smokers; the associations were evident in never smokers only at activity levels above the conventional 0.1 g MVPA threshold. These findings suggest that the association between lung function and physical activity in older adults is more pronounced in smokers than non-smokers.

Published
2019

12. Built environment in local relation with walking: Why here and not there?

Author

Hélène Charreire, Serge Hercberg, Christiane Weber, Franck Hess, Chantal Simon, Emmanuelle Kesse-Guyot, Thierry Feuillet, Mehdi Menai, Jean-Michel Oppert, Camille Perchoux, Christophe Enaux, Paul Salze, Université Paris 8 Vincennes-Saint-Denis (UP8), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13), Université Sorbonne Paris Cité (USPC), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), French National Cancer Institute (Institut National du Cancer, INCa) through the Social sciences and humanities and public health programme [2011-1-PL-SHS-10], Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Paris 13 University, Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), UMR 7362 Laboratoire «Image Ville Environnement», Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Hôpital Universitaire Pitié Salpêtrière, Assistance Publique - Hôpitaux de Paris (AP - HP), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN)

Subjects
[SDV]Life Sciences [q-bio], Poison control, Transportation, Sample (statistics), 03 medical and health sciences, 0302 clinical medicine, Spatial nonstationarity, 11. Sustainability, Contextual effect, 030212 general & internal medicine, Active mobility, Safety, Risk, Reliability and Quality, Built environment, Simulation, 030505 public health, Health Policy, Public Health, Environmental and Occupational Health, Geographically weighted regression, Discriminant analysis, Pollution, Spatial heterogeneity, Travel behavior, Identification (information), Geography, Walkability, 0305 other medical science, Safety Research, Cognitive psychology
Abstract

Walking, as both a major mode of transport and the most common form of every-day physical activity, deserves further attention in health-related transportation studies. In this paper, we focused on the built environmental correlates of walking for errands and leisure in a sample of 409 adults (Paris, France) through a cross-sectional study based on an internet survey. The main aims were (i) to delineate places with contrasting relationships between the built environment and walking, using geographically weighted regression models and (ii) to determine what differentiated the contexts we uncovered, in terms of both environmental and individual characteristics, using canonical discriminant analyses. Our results showed that the spatial heterogeneity of relationships between walking and the built environment occurred across the entire studied area and concerned the two walking outcomes, with odds-ratios (ORs) ranging from 1.01 to 131 and from 1.07 to 1.35 for walking for errands and leisure, respectively. We suggest that the spatial patterning of convergent relationships is due to contextual effects, i.e., the effect of places with specific intrinsic arrangement of environmental and individual features. Data-driven identification of local contexts should be a key step in future contextual analyses of walking and health related outcomes.

Published
2016

13. Prospective association between a dietary quality index based on a nutrient profiling system and cardiovascular disease risk

Author

Léopold Fezeu, Mehdi Menai, Mélanie Deschasaux, Serge Hercberg, Solia Adriouch, Caroline Méjean, Sandrine Péneau, Mathilde Touvier, Mathilde Donnenfeld, Chantal Julia, Pauline Ducrot, Emmanuelle Kesse-Guyot, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Hôpital avicenne, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Avicenne-Université Sorbonne Paris Nord, and Hôpital Avicenne-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Sorbonne Paris Nord

Subjects
Male, 0301 basic medicine, Index (economics), Epidemiology, Population impact, Risk Factors, MESH: Risk Factors, MESH: Diet Records, Medicine, MESH: Double-Blind Method, Prospective Studies, MESH: Incidence, Prospective cohort study, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, MESH: Middle Aged, MESH: France/epidemiology, Incidence, Incidence (epidemiology), MESH: Forecasting, Follow up studies, MESH: Follow-Up Studies, Middle Aged, Diet Records, MESH: Nutritional Status, 3. Good health, Survival Rate, Diet quality, Cardiovascular Diseases, MESH: Nutritive Value, Female, France, Cardiology and Cardiovascular Medicine, Nutritive Value, FSA-NPS, prospective study, medicine.medical_specialty, MESH: Life Style, Nutritional Status, MESH: Survival Rate/trends, MESH: Cardiovascular Diseases/prevention & control, Food Preferences, 03 medical and health sciences, Double-Blind Method, Environmental health, Humans, MESH: Food Preferences, Life Style, Nutrient profiling, nutrition policy, MESH: Cardiovascular Diseases/epidemiology, MESH: Humans, 030109 nutrition & dietetics, business.industry, Cardiovascular risk, MESH: Prospective Studies, MESH: Male, Diet, Surgery, MESH: Diet/standards, Disease risk, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Nutrition Policy, business, nutrient profiling system, MESH: Female, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Follow-Up Studies, Forecasting
Abstract

Public health strategies are essential to guide consumers' choices and produce a substantial population impact on cardiovascular disease risk prevention through nutrition. Our aim was to investigate the prospective association between the Food Standards Agency nutrient profiling system dietary index (FSA-NPS DI) and cardiovascular disease risk. The FSA-NPS has been proposed to serve as a basis for a five-colour nutrition label suggested in France to be put on the front of pack of food products.A total of 6515 participants to the SU.VI.MAX cohort (1994-2007), who completed at least six 24-hour dietary records during the first two years of the study, were followed for a median of 12.4 years (25th-75th percentiles: 11.0-12.6). Multivariable Cox proportional hazards models were used to characterise the associations between FSA-NPS DI (continuous and sex-specific quartiles) and the incidence of cardiovascular diseases. Interactions with individual characteristics were tested; 181 major cardiovascular events were reported (59 myocardial infarctions, 43 strokes, 79 anginas). A higher FSA-NPS DI, characterising poorer food choices, was associated with an overall increase in cardiovascular disease risk (HRfor a 1-point increment = 1.14 (1.03-1.27); HRQ4vs.Q1 = 1.61 (1.05-2.47), Ptrend Q4-Q1 = 0.03). This association tended to be stronger in smokers (HRfor a 1-point increment = 1.39 (1.11-1.73); Pinteraction = 0.01) and those less physically active (HRfor a 1-point increment = 1.26 (1.08-1.46); Pinteraction = 0.04).Our results suggest that poorer food choices, as reflected by a higher FSA-NPS DI, may be associated with a significant increase in cardiovascular risk, especially in at-risk individuals (smokers and physically inactive persons). This score could be a useful tool for public health prevention strategies.ClinicalTrials.gov identifier: NCT00272428.

Published
2016

14. Évaluation quantitative d’un programme de promotion de l’activité physique à Saint-Denis

Author

Paul Daval, Chantal Julia, Marjorie Painsecq, Camille Buscail, Serge Hercberg, Benoît Salanave, Mehdi Menai, and Pierre Lombrail

Subjects
03 medical and health sciences, 030505 public health, 0302 clinical medicine, Nutrition and Dietetics, Medicine (miscellaneous), 030212 general & internal medicine, 0305 other medical science
Abstract

Resume Introduction Un des objectifs du 3e volet du Programme national nutrition sante etait de reduire les inegalites sociales de pratique de l’activite physique (AP). Dans ce contexte, un programme experimental de promotion de l’AP a ete developpe dans un quartier de la ville de Saint-Denis. L’objectif de ce travail etait d’en evaluer l’impact. Materiel et methodes Deux evaluations du niveau d’AP avant (2013) et apres (2015) mises en place du programme ont ete realisees. Les participants ont ete selectionnes par un tirage au sort selon un sondage stratifie par grappes. Le critere de jugement principal etait l’evolution du pourcentage de sujets pratiquant une AP au moins moderee, mesuree via le questionnaire RPAQ. Resultats La proportion de personnes pratiquant une AP au moins moderee est passee de 48,1 % en 2013 a 63,5 % en 2015 (p = 0,001). Conclusion Ce travail a mis en evidence une augmentation significative de l’AP dans un quartier de Saint-Denis ou le programme a ete mis en place. Des interventions exterieures paralleles au projet ont pu contribuer a ce resultat.

Published
2016

15. A massive geographically weighted regression model of walking-environment relationships

Author

Paul Salze, Christophe Enaux, Chantal Simon, Mehdi Menai, Jean-Michel Oppert, Romain Reuillon, Camille Perchoux, Julie-Anne Nazare, Hadrien Commenges, Emmanuelle Kesse-Guyot, Thierry Feuillet, Hélène Charreire, Serge Hercberg, Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Géographie-cités (GC (UMR_8504)), Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Socio-Economic Research (LISER), Institut des Systèmes Complexes - Paris Ile-de-France (ISC-PIF), Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Sorbonne Université (SU)-École polytechnique (X)-École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), LAB'URBA (LAB'URBA), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Gustave Eiffel, Institut de Cardiométabolisme et Nutrition - Institute of Cardiometabolism and Nutrition, French National Cancer Institute (Institut National du Cancer, INCa) through Social sciences and humanities and public health programme [2011-1-PL-SHS-10], Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Paris 13 University, Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), École normale supérieure - Cachan (ENS Cachan)-Université Paris 1 Panthéon-Sorbonne (UP1)-École polytechnique (X)-Institut Curie [Paris]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Paris Diderot - Paris 7 (UPD7)-Université Paris Nanterre (UPN)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Panthéon-Sorbonne (UP1)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Socio-Economic Research, École normale supérieure - Cachan (ENS Cachan)-Université Panthéon-Sorbonne (UP1)-Université Paris-Sud - Paris 11 (UP11)-École polytechnique (X)-Institut Curie-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Institute of Cardiometabolism and Nutrition - Department of Nutrition, Sorbonne Universités, HESAM Université (HESAM)-HESAM Université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Centre National de la Recherche Scientifique (CNRS)-Université Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université Paris Diderot - Paris 7 (UPD7)

Subjects
Geography, Planning and Development, 0211 other engineering and technologies, Transportation, Context (language use), 02 engineering and technology, PARIS team, Logistic regression, Vegetation cover, [SHS]Humanities and Social Sciences, 03 medical and health sciences, walking, 0302 clinical medicine, Global studies, 11. Sustainability, Econometrics, 030212 general & internal medicine, Cluster analysis, General Environmental Science, geographically weighted logistic regression, ACL, 021107 urban & regional planning, [SHS.GEO]Humanities and Social Sciences/Geography, Geographically Weighted Regression, Geography, Scale (social sciences), Context specific, environment
Abstract

International audience; Many studies aim at identifying environmental correlates of walking in order to identify specific potential levers for tackling the medical burden of physical inactivity. The links between environmental characteristics and walking behaviors are usually context specific. While local studies fail to embrace a global overview of these contexts, global studies hide the context scale patterns. In this study, we applied a geographically weighted logistic regression (GWR) on a large area (whole of France) to explore spatial variations of the relations between five environmental variables and walking for leisure and errands purposes among 40,480 French adults. This approach allowed us to adopt a global view of local patterns of relations and to highlight spatial contexts (defined through a clustering of GWR odds ratios) where combinations of correlates varied. Specifically, clustering algorithms on the GWR odds ratios led to 9 and 6 clusters for walking for leisure and errands, respectively. Some clusters were characterized by a particularly strong effect of population density, whereas others exhibited low effect of vegetation cover rate. Chi-squared tests indicated that these clusters were associated with type of urban areas (Paris, major urban poles, periurban areas, small urban poles, isolated areas) for the two types of walking. Beyond its methodological contribution - providing a method to handle large data samples into GWR analyses - this study offers key elements to practitioners and policy makers to target relevant contexts and environmental features for promoting daily walking.

Published
2018

16. Differential Associations of Walking and Cycling with Body Weight, Body Fat and Fat Distribution - the ACTI-Cités Project

Author

Léopold Fezeu, Jean-Michel Oppert, Pilar Galan, Chantal Simon, Christophe Enaux, Mehdi Menai, Serge Hercberg, Hélène Charreire, Christiane Weber, Camille Perchoux, Julie Anne Nazare, Weber, Christiane, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Recherche en épidémiologie et biostatistique, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases [IHU ICAN], Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Hôpital avicenne, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris 13 (UP13)-Hôpital Avicenne, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)

Subjects
Male, Health (social science), Epidemiology, Walking, Body Mass Index, Cohort Studies, 0302 clinical medicine, Surveys and Questionnaires, Prospective Studies, 030212 general & internal medicine, lcsh:RC620-627, ComputingMilieux_MISCELLANEOUS, Aged, 80 and over, Middle Aged, Circumference, 3. Good health, lcsh:Nutritional diseases. Deficiency diseases, Female, France, Cycling, lcsh:Nutrition. Foods and food supply, Research Article, Adult, medicine.medical_specialty, Waist, Physical activity, lcsh:TX341-641, 030209 endocrinology & metabolism, Body weight, 03 medical and health sciences, Thinness, Physiology (medical), medicine, Humans, Obesity, Aged, business.industry, Body Weight, Fat distribution, medicine.disease, [SDE.ES]Environmental Sciences/Environmental and Society, Bicycling, Cross-Sectional Studies, Self Report, [SDE.ES] Environmental Sciences/Environmental and Society, business, Demography
Abstract

Background: Research on the associations between walking and cycling with obesity-related phenotypes is growing but relies mostly on the use of BMI. The purpose of this study was to analyze associations of walking and cycling behaviors assessed separately with various obesity markers in French adults. Methods: In 12,776 adult participants (71.3% women) of the on-going NutriNet Santé web-cohort, we assessed by self-report past-month walking and cycling (for commuting, errands and leisure), and obesity measures were taken during a visit at a clinical center (weight, height, waist circumference, and percent body fat by bioimpedance). Results: In analyses not taking into account other types of physical activity (household, leisure), walking more than 2.5 h/week was associated in women with lower weight (-1.8 kg), waist circumference (-1.7 cm) and percent body fat (-1.1%) (all p < 0.001). Cycling more than 1.5 h/week was associated in men and women with lower weight (-4.3 and -1.4 kg, respectively), waist circumference (-4.4 and -2.1 cm, respectively), and percent body fat (-2.5 and -1.9 % respectively) (all p < 0.001). Results were unaltered when analyses were further adjusted on household and leisure physical activity. Conclusion: These results show important differences between walking and cycling in their association with obesity markers in men and women. These findings provide some evidence for the need to consider separately walking and cycling when designing public health measures for prevention of obesity in adults.

Published
2018

17. Cross-Sectional and longitudinal associations of objectively-measured physical activity on blood pressure: evaluation in 37 countries

Author

Nicolas Schmidt, Paul D. Loprinzi, Mehdi Menai, Jean-Michel Oppert, Angela Chieh, Matthieu Vegreville, B. Brouard, and Hélène Lelong

Subjects
medicine.medical_specialty, Health (social science), Epidemiology, Population, Physical activity, Diastole, lcsh:TX341-641, 030204 cardiovascular system & hematology, Overweight, Education, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, 030212 general & internal medicine, education, education.field_of_study, business.industry, lcsh:Public aspects of medicine, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Surgery, Connected Objects, Blood pressure, Normal weight, Cardiology, Original Article, medicine.symptom, business, Body mass index, lcsh:Nutrition. Foods and food supply, Step counts
Abstract

Background: We examined the cross-sectional and longitudinal associations of objectively-measured physical activity (step counts) and blood pressure (BP) among adults spanning 37 countries. Methods: Across 37 countries, we used data from a pool of 9238 adult owners of Withings' Pulse activity trackers, which measures steps taken each day, and Wireless Blood Pressure Monitor, which measures BP. Analyses were adjusted on age, sex, number of days where the tracker was worn, and number of BP measurements. Data was collected from 2009 to 2013. Results: Subjects had a mean ± standard deviation (SD) age of 51.6 ± 11.3 years and a body mass index (BMI) of 28.7±5.5 kg/m2. A 1-month increase of more than 3000 steps per day was associated with a decrease of systolic BP (SBP) and diastolic BP (DBP) among the obese (1.57mm Hg and 1.29 mm Hg respectively, both P

Published
2017

18. Neighborhood educational disparities in active commuting among women: the effect of distance between the place of residence and the place of work/study (an ACTI-Cites study)

Author

Christophe Enaux, Thierry Feuillet, Jean-Michel Oppert, Tarik Benmarhnia, Serge Hercberg, Franck Hess, Julie Anne Nazare, Camille Perchoux, Chantal Simon, Mehdi Menai, Paul Salze, Hélène Charreire, Christiane Weber, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université Paris 8 Vincennes-Saint-Denis (UP8), French National Cancer Institute (Institut National du Cancer, INCa) [2011-1-PL-SHS-10], Ministere de la Santé, Institut de Veille Sanitaire (InVS), Institut National de la Prévention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Médicale (FRM), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Paris 13 University, Fondation Le Roch - Les Mousquetaires, Simon, Chantal, Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), and Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université de Paris (UP)

Subjects
[SDV]Life Sciences [q-bio], Negative binomial distribution, Poison control, Transportation, Walking, lieu de travail, Occupational safety and health, 0302 clinical medicine, Residence Characteristics, Surveys and Questionnaires, Medicine, 030212 general & internal medicine, Prospective Studies, ASSOCIATIONS, ENVIRONMENTAL CHARACTERISTICS, measure modification, lcsh:Public aspects of medicine, CARDIOVASCULAR RISK, Middle Aged, Active commuting, Social environment, TRAVEL, Public Health and Health Services, Educational Status, Distance to work, Female, Public Health, HEALTH, Research Article, Adult, Neighborhood education, RECREATIONAL WALKING, 030209 endocrinology & metabolism, Health Promotion, Basic Behavioral and Social Science, 03 medical and health sciences, Environmental health, Behavioral and Social Science, Injury prevention, Humans, Effect, Socioeconomic status, WORK, active commuting, neighborhood education, distance to work, effect measure modification, social environment, business.industry, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Quality Education, BUILT ENVIRONMENT, Health promotion, Cross-Sectional Studies, PHYSICAL-ACTIVITY, lieu de résidence, distance aux centres d'emplois, SCHOOL, Residence, environnement social, Biostatistics, business, Demography, Effect measure modification
Abstract

Background Active transportation has been associated with favorable health outcomes. Previous research highlighted the influence of neighborhood educational level on active transportation. However, little is known regarding the effect of commuting distance on social disparities in active commuting. In this regard, women have been poorly studied. The objective of this paper was to evaluate the relationship between neighborhood educational level and active commuting, and to assess whether the commuting distance modifies this relationship in adult women. Methods This cross-sectional study is based on a subsample of women from the Nutrinet-Santé web-cohort (N = 1169). Binomial, log-binomial and negative binomial regressions were used to assess the associations between neighborhood education level and (i) the likelihood of reporting any active commuting time, and (ii) the share of commuting time made by active transportation modes. Potential effect measure modification of distance to work on the previous associations was assessed both on the additive and the multiplicative scales. Results Neighborhood education level was positively associated with the probability of reporting any active commuting time (relative risk = 1.774; p

Published
2017

19. Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women

Author

Franck Hess, Célina Roda, Hélène Charreire, Julie-Anne Nazare, Christophe Enaux, Paul Salze, Camille Perchoux, Christiane Weber, Chantal Simon, Mehdi Menai, Serge Hercberg, Jean-Michel Oppert, Thierry Feuillet, Luxembourg Institute of Socio-Economic Research (LISER), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National de la Recherche Agronomique (INRA), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Dpt Santé publique [CHU Avicenne], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Laboratoire Dynamiques Sociales et Recomposition des Espaces (LADYSS), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris Nanterre (UPN)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), French National Cancer Institute (Institut National du Cancer, INCa) through the Social Sciences and Humanities and Public Health Programme 2011-1-PL-SHS-10, Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Universite Paris 13, Fondation Le Roch-Les Mousquetaires, Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), 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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Hôpital Avicenne, Université Paris Diderot - Paris 7 (UPD7)-Université Paris Nanterre (UPN)-Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Luxembourg Institute of Socio-Economic Research ( LISER ), Cardiovasculaire, métabolisme, diabétologie et nutrition ( CarMeN ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Hospices Civils de Lyon ( HCL ) -Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National de la Recherche Agronomique ( INRA ), Laboratoire Image, Ville, Environnement ( LIVE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition ( ICAN ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP], LAB'URBA ( LAB'URBA ), Université Paris-Est Marne-la-Vallée ( UPEM ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Laboratoire dynamiques sociales et recomposition des espaces ( LADYSS ), Université Panthéon-Sorbonne ( UP1 ) -Université Paris 8 Vincennes-Saint-Denis ( UP8 ) -Université Paris Nanterre ( UPN ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), and HAL UPMC, Gestionnaire

Subjects
Psychological intervention, lcsh:Medicine, Poison control, Transportation, Suicide prevention, Occupational safety and health, activité physique, 0302 clinical medicine, 030212 general & internal medicine, vie quotidienne, media_common, Human factors and ergonomics, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, General Medicine, activité sédentaire, Feeling, Female, France, Cycling, Psychology, Social psychology, Research Article, Adult, Article Subject, corrélation environnementale, media_common.quotation_subject, Movement, femme, 030209 endocrinology & metabolism, Biotechnologies, Environment, moyen de transport, General Biochemistry, Genetics and Molecular Biology, [ SDV.EE.SANT ] Life Sciences [q-bio]/Ecology, environment/Health, 03 medical and health sciences, Leisure Activities, Injury prevention, [SDV.EE.SANT] Life Sciences [q-bio]/Ecology, environment/Health, Humans, Exercise, [SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health, General Immunology and Microbiology, lcsh:R, [SDE.ES]Environmental Sciences/Environmental and Society, Socioeconomic Factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDE.ES] Environmental Sciences/Environmental and Society, Sedentary Behavior, [ SDE.ES ] Environmental Sciences/Environmental and Society
Abstract

International audience; The objectives were (1) to define physical activity (PA) and sedentary behaviors (SB) patterns in daily life contexts (work, leisure, and transportation) in French working women from NutriNet-Santé web-cohort and (2) to identify pattern(s) of active transportation and their individual, social, and environmental correlates. 23,432 participants completed two questionnaires to evaluate PA and SB in daily life contexts and individual representations of residential neighborhood and transportation modes. Hierarchical cluster analysis was performed which identified 6 distinct movement behavior patterns: (i) active occupation, high sedentary leisure, (ii) sedentary occupation, low leisure, (iii) sedentary transportation, (iv) sedentary occupation and leisure, (v) active transportation, and (vi) active leisure. Multinomial logistic regressions were performed to identify correlates of the " active transportation " cluster. The perceived environmental characteristics positively associated with " active transportation " included " high availability of destinations around home, " " presence of bicycle paths, " and " low traffic. " A " positive image of walking/cycling, " the " individual feeling of being physically active, " and a " high use of active transport modes by relatives/friends " were positively related to " active transportation, " identified as a unique pattern regarding individual and environmental correlates. Identification of PA and SB context-specific patterns will help to understand movement behaviors' complexity and to design interventions to promote active transportation in specific subgroups.

Published
2017

20. Promoting physical activity in a low-income neighborhood of the Paris suburb of Saint-Denis: effects of a community-based intervention to increase physical activity

Author

Mehdi Menai, Paul Daval, Chantal Julia, Camille Buscail, Marjorie Painsecq, Benoît Salanave, Pierre Lombrail, Serge Hercberg, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Sorbonne Paris Cité (COMUE) (USPC), Département de Santé Publique, Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris Nord (Paris 13), Maison départementale de la santé, Partenaires INRAE, French General Direction of Health (Direction Generale de la Sante, DGS), ProdInra, Migration, and Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)

Subjects
Adult, Male, Paris, medicine.medical_specialty, [SDV]Life Sciences [q-bio], Psychological intervention, Poison control, Context (language use), Health Promotion, Overweight, Suicide prevention, activité physique, RPAQ, Interviews as Topic, 03 medical and health sciences, 0302 clinical medicine, Residence Characteristics, Surveys and Questionnaires, Environmental health, Outcome Assessment, Health Care, région parisienne, medicine, Humans, Community Health Services, Obesity, 030212 general & internal medicine, Exercise, Poverty, 030505 public health, Physical activity, business.industry, lcsh:Public aspects of medicine, Public health, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Social inequalities for health, Community-based promotion program, 3. Good health, [SDV] Life Sciences [q-bio], inégalité sociale, Health promotion, Female, medicine.symptom, Biostatistics, 0305 other medical science, business, Research Article
Abstract

International audience; Background: Physical activity (PA) is a key factor for facing the increasing prevalence of obesity and overweight, and should be part of every public health programs. In this context, a community-based public health program promoting PA was developed in a low-income neighborhood of the city of Saint-Denis (France). Methods: This work aimed at assessing the effectiveness of a 2-year PA promotion program. A quasi-experimental study was carried out using a pre/post design, with an assessment before (2013) and after (2015) the program. The interviewees were selected using a stratified random cluster sampling. The primary outcome was the proportion of participants practicing sufficient PA (WHO guidelines), and was measured using the RPAQ questionnaire. External interventions (on both neighborhood environment and inhabitants) were listed. Results: We collected 199 questionnaires at baseline and 217 in 2015. There was a majority of women in both samples: 64.3 % in 2013 and 58.2 % in 2015. The average age of participants was 38.1 years (+/-1.1) and 40.6 (+/-1. 1) respectively. The proportion of people practicing sufficient PA was modified from 48.1 % in 2013 to 63.5 % in 2015 (p = 0.001). This was mainly driven by women whose level of PA, increased from 40.3 % to 60.3 % (p = 0.002), reaching the average national French estimation of PA level among adults (63.5 %). Conclusions: This work showed a significant increase of the proportion of people practicing PA in a disadvantaged neighborhood where a community-based program promoting PA was developed. Simultaneous external interventions contributed to the results, showing the necessity of synergic interventions to reach efficiency.

Published
2016

21. Leisure-Time Physical Activity and Sedentary Behavior and Their Cross-Sectional Associations with Excessive Daytime Sleepiness in the French SU.VI.MAX-2 Study

Author

Roland M. Andrianasolo, Valentina A. Andreeva, Pilar Galan, Mehdi Menai, Serge Hercberg, Emmanuelle Kesse-Guyot, Jean-Michel Oppert, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Hôpital avicenne, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris 13 (UP13)-Hôpital Avicenne, Service de nutrition, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital de l'Hôtel-Dieu, Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital de l'Hôtel-Dieu, French National Research Agency [ANR-05-PNRA-010], French Ministry of Health (DGS), and Université Paris 13 (UP13)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Avicenne

Subjects
Gerontology, Male, Risk, Sleepiness, Cross-sectional study, Leisure time, Physical activity, Excessive daytime sleepiness, Motor Activity, 03 medical and health sciences, 0302 clinical medicine, Leisure Activities, Surveys and Questionnaires, medicine, Prevalence, Humans, 030212 general & internal medicine, Health behavior, Applied Psychology, ComputingMilieux_MISCELLANEOUS, Sedentary lifestyle, Aged, Sedentariness, Sedentary behavior, Middle Aged, Health psychology, Cross-Sectional Studies, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, medicine.symptom, Sedentary Behavior, Psychology, Sleep, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; The potential benefit of physical activity in terms of decreasing excessive daytime sleepiness (EDS) prevalence is unclear, especially in aging adults. We aimed to elucidate the associations among physical activity, sedentariness, and EDS in middle-aged and older adults. We conducted a cross-sectional analysis using data from a subsample of participants in the SU.VI.MAX-2 observational study (2007-2009; N = 4179; mean age = 61.9 years). EDS was defined as a score > 10 on the Epworth Sleepiness Scale. Leisure-time physical activity and different types of sedentary behavior were assessed with the Modifiable Activity Questionnaire. The associations were examined with multivariable logistic regression models. In the adjusted multivariable model, total leisure-time physical activity (modeled in quartiles, Q) was significantly, inversely associated with EDS (odds ratios (OR)(Q4 vs Q1) = 0.70, 95 % confidence interval (CI) = 0.54-0.89). The association persisted in analyses restricted to individuals not taking sleep medication (ORQ4 vs Q1 = 0.72, 95 % CI = 0.54-0.95). In turn, time spent watching television and time spent reading appeared protective against EDS (ORQ4 vs Q1 = 0.73, 95 % CI = 0.57-0.94; ORQ4 vs Q1 = 0.76, 95 % CI = 0.60-0.97, respectively), whereas time spent on a computer appeared to confer an increased risk for EDS (ORQ4 vs Q1 = 1.30, 95 % CI = 1.05-1.62). When physical activity and sedentariness were modeled jointly, using WHO recommendation-based cutoffs for high/low levels, no significant associations were observed in the fully adjusted models. The findings reinforce public health recommendations promoting behavior modification and specifically moderate-intensity exercise in middle-aged and older adults. The association of high physical activity/low sedentariness with EDS, which was not supported by the data, merits further investigation before firm conclusions could be drawn.

Published
2016

22. Determining the association between types of sedentary behaviours and cardiometabolic risk factors: A 6-year longitudinal study of French adults

Author

Serge Hercberg, Pilar Galan, Léopold Fezeu, Hélène Charreire, Emmanuelle Kesse-Guyot, Mehdi Menai, Jean-Michel Oppert, Valentina A. Andreeva, LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), LAB'URBA ( LAB'URBA ), Université Paris-Est Marne-la-Vallée ( UPEM ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), and Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM )

Subjects
Male, medicine.medical_specialty, Longitudinal study, Waist, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Sedentary behaviours, Risk Factors, Internal medicine, Odds Ratio, Internal Medicine, medicine, Humans, Longitudinal Studies, Sedentary lifestyle, 2. Zero hunger, business.industry, Public health, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, 030229 sport sciences, General Medicine, Odds ratio, Middle Aged, Anthropometry, medicine.disease, Cardiometabolic risk factors, Metabolic syndrome, 3. Good health, Cardiovascular Diseases, Female, Television, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, France, Sedentary Behavior, Television viewing, business, Body mass index, Demography
Abstract

National audience; AIM: This study identified the longitudinal associations between leisure-time sedentary behaviours [television (TV) viewing, computer use and reading (h/week)] and cardiometabolic risk factors, including the metabolic syndrome. METHODS: A total of 2517 participants (mean±SD age: 55.5±4.9 years) were assessed in 2001 and in 2007 for physical activity and leisure-time sedentary behaviours, anthropometry, body composition, blood pressure, fasting blood glucose and lipids, using standardized methods. Multivariate generalized linear (beta, 95% CI and P values) and logistic (OR and 95% CI) regression models were used to assess cross-sectional associations between sedentary behaviours and cardiometabolic risk factors, while a 6-year longitudinal study explored these associations as well as the odds of developing the metabolic syndrome, as defined by the NCEP ATPIII. RESULTS: Increased TV viewing time over the follow-up period was positively associated with increases in body mass index (BMI; P\textless0.01) and percent body fat (P\textless0.001), and marginally with waist circumference (P=0.06). Reverse associations were also found, with changes in BMI, percent fat mass and waist circumference positively associated with TV viewing and computer use. Associations between reading and cardiometabolic risk factors were less consistent. Each 1-h/week increase in baseline TV viewing and in reading was associated with an increase in the chances of developing the metabolic syndrome (OR=1.031, 95% CI: 0.998-1.060, P=0.07; and OR=1.032, 95% CI: 1.002-1.065, P=0.02; respectively). CONCLUSION: The present study data emphasizes the notion of differential associations of specific sedentary behaviours with cardiometabolic risk factors. They are also evidence that different longitudinal associations should be taken into account when designing public health objectives of interventions aimed at improving cardiometabolic health.

Published
2016

23. Variations of physical activity and sedentary behavior between before and after cancer diagnosis: Results from the prospective population-based NutriNet-Sante cohort

Author

Serge Hercberg, Nathalie Druesne-Pecollo, Laurent Zelek, Valentin Partula, Marina Touillaud, Paule Latino-Martel, Patrice Cohen, Jean-Michel Oppert, Mélanie Deschasaux, Bernard Srour, Pilar Galan, Patrick Bachmann, Mathilde Touvier, Mehdi Menai, Philippine Fassier, Hélène Hoarau, ProdInra, Archive Ouverte, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Réseau National Alimentation Cancer Recherche (réseau NACRe), Institut National de la Recherche Agronomique (INRA), Epidemiology and Statistics Research Center, Université Sorbonne Paris Cité (USPC), Oncology Department, Ippokration Hospital, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Dynamiques sociales et langagières (DYSOLA), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Institute of Cardiometabolism and Nutrition - Department of Nutrition, Université Pierre et Marie Curie - Paris 6 (UPMC), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Public Health Department, Canceropole Ile-de-France (from the Paris region), Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale (INSERM), Conservatoire National des Arts et Metiers (CNAM), Universite Paris, Fassier, Philippine, Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Sorbonne Paris Cité (COMUE) (USPC), Centre de Recherche en Cancérologie de Lyon, Université de Rouen Normandie, Normandie Université (NU) - Normandie Université (NU), Sorbonne Universités, Université Pierre et Marie Curie (Paris 6), Hôpital Universitaire Pitié Salpêtrière, Assistance Publique - Hôpitaux de Paris (AP - HP), Centre de Recherche en Cancérologie de Lyon (CRCL), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Adult, Male, medicine.medical_specialty, Skin Neoplasms, [SDV]Life Sciences [q-bio], Physical activity, prospective cohort, Observational Study, physical activity, Breast Neoplasms, Population based, Lower risk, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, cancer survivors, sedentary behavior, variations, Surveys and Questionnaires, Humans, Medicine, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Exercise, Aged, business.industry, Prostatic Neoplasms, Cancer, General Medicine, Sedentary behavior, Middle Aged, medicine.disease, 3. Good health, [SDV] Life Sciences [q-bio], Logistic Models, Socioeconomic Factors, 030220 oncology & carcinogenesis, Cohort, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Physical therapy, Female, Observational study, France, Colorectal Neoplasms, business, Research Article
Abstract

Supplemental Digital Content is available in the text, Physical activity (PA) but also reduced sedentary behavior may be associated with better prognosis and lower risk of recurrence in cancer patients. Our aim was to quantify the variations in PA and time spent sedentary between before and after diagnosis, relying on prospective data in French adults. We also investigated sociodemographic and lifestyle factors associated with these variations. Subjects (n = 942) were incident cancer cases diagnosed in the NutriNet-Santé cohort between 2009 and 2015. PA and sedentary behavior were prospectively collected with the 7-day short version of the IPAQ questionnaire every year since subjects’ inclusion (i.e., an average of 2 year before diagnosis). All PA and sitting time points before and after diagnosis was compared by mixed model. Factors associated with decrease in PA and increase in sitting time were investigated using logistic regressions. Overall and vigorous PA decreased after diagnosis (P = 0.006, −32.8 ± 36.8 MET-hour/week on average, in those who decreased their overall PA and P = 0.005, −21.1 ± 36.8 MET-hour/week for vigorous PA, respectively), especially in prostate (−39.5 ± 36.3 MET-hour/week) and skin (−35.9 ± 38 MET-hour/week) cancers, in men (−40.8 ± 46.3MET-hour/week), and in those professionally inactive (−34.2 ± 37.1 MET-hour/week) (all P

Published
2016

24. Association Between Blood Pressure and Adherence to French Dietary Guidelines

Author

Emmanuelle Kesse-Guyot, Mehdi Menai, Pilar Galan, Serge Hercberg, Jacques Blacher, Léopold Fezeu, Hélène Lelong, Université Paris Descartes - Paris 5 (UPD5), Université Paris Nord (Paris 13), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Department of Public Health, Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Fondation coeurs et Arteres (FCA), Ministere de la Sante (DGS), Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut de Recherche en Sante Publique (IRESP), Institut National de la Sante et de la Recherche Medicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Universite Paris 13, ProdInra, Migration, and Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
0301 basic medicine, Gerontology, Adult, Male, medicine.medical_specialty, hypertension, DASH diet, Mediterranean diet, Dietary Approaches To Stop Hypertension, [SDV]Life Sciences [q-bio], Population, dietary scores, Blood Pressure, Diet, Mediterranean, Nutrition Policy, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Dash, Epidemiology, Internal Medicine, Medicine, Humans, 030212 general & internal medicine, education, Aged, 2. Zero hunger, education.field_of_study, 030109 nutrition & dietetics, business.industry, Middle Aged, 3. Good health, [SDV] Life Sciences [q-bio], Blood pressure, Cross-Sectional Studies, epidemiology, Female, France, Guideline Adherence, business, nutritional policies, Body mass index, Cohort study
Abstract

BACKGROUND Adopting a healthy diet like the Dietary Approach to Stop Hypertension (DASH) or Mediterranean diet (MD) represents a major lifestyle for blood pressure (BP) control in general population. Nutritional policies, such as the French Nutrition and Health Program (Programme National Nutrition Sante or PNNS), have been implemented in several countries with the aims of preventing chronic diseases. The objective of our study was to investigate association between BP and adherence to PNNS guidelines compared with adherence to DASH or MD. METHODS We conducted a cross-sectional study in 11,302 untreated participants from the NutriNet-Sante study, a French web-based cohort study. Three validated scores reflecting adherence to PNNS guidelines, DASH diet, and MD were calculated from repeated 24-hour records. Three BP measurements using a standardized protocol were collected. Multivariate linear models were used to assess the associations between the dietary scores and BP. RESULTS In women, independent of age, socioeconomic status, body mass index, tobacco use, alcohol consumption, and physical activity, adherence to PNNS guidelines was inversely significantly associated with systolic BP (β = -0.63, P < 0.0001). This association was of similar amplitude that between BP and adherence to DASH-style diet (β = -0.66, P < 0.0001) or MD (β = -0.63, P = 0.0002). No significant association was found in men. CONCLUSION Adherence to French nutritional recommendations was found negatively associated with BP at the same magnitude as adherence to well-known dietary pattern in the prevention and treatment of hypertension.

Published
2015

25. Descriptive study of sedentary behaviours in 35,444 French working adults: cross-sectional findings from the ACTI-Cités study

Author

Mette Aadahl, Hélène Charreire, Chantal Simon, Mehdi Menai, Madina Saidj, Emmanuelle Kesse-Guyot, Jean-Michel Oppert, Christophe Enaux, Serge Hercberg, Christiane Weber, Research Center for Prevention and Health, Glostrup Hospital, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Université Sorbonne Paris Cité (USPC), Université Paris 13 (UP13), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Métiers [CNAM] (CNAM), Centre de Recherche en Nutrition Humaine d'Ile-de-France (CRNH-IDF), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Institut de Veille Sanitaire (INVS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National Agronomique Paris-Grignon (INA P-G)-CETAF-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de Hautepierre [Strasbourg], Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Administateur, HAL Sorbonne Université, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Public Health [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), French National Cancer Institute (Institut National du Cancer, INCa) through the Social Sciences and Humanities and Public Health Programme 2011-1-PL-SHS-10, Ministère de la Santé Institut de Veille Sanitaire (InVS), Institut National de la Prévention et de l'Education pour la Santé (INPES), Fondation pour la Recherche Médicale (FRM), Institut National de la Santé et de la Recherche Médicale, Conservatoire National des Arts et Métiers (CNAM), Paris 13 Université, Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris-Est Marne-la-Vallée (UPEM) - Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Department of public health, University of Copenhagen (KU), Hôpital avicenne, Assistance publique - Hôpitaux de Paris (AP-HP) - Hôpital Avicenne - Université Paris 13, Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA) - Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées de Lyon (INSA Lyon) - Hospices Civils de Lyon - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC) - Assistance publique - Hôpitaux de Paris (AP-HP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - CHU Pitié-Salpêtrière [APHP], Oppert, Jean-Michel, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Institut de Veille Sanitaire (INVS)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National Agronomique Paris-Grignon (INA P-G)-CETAF-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Hôpital Avicenne, Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris 13 (UP13), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris 13 (UP13)-Hôpital Avicenne, and Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]

Subjects
Gerontology, Male, Adult, medicine.medical_specialty, Work, Adolescent, Cross-sectional study, adult, occupation, perceptions, web-based cohort, sedentary behaviours, lifestyle, France, Health Behavior, Context (language use), Sitting, Web-based cohort, 03 medical and health sciences, Screen time, Young Adult, 0302 clinical medicine, Leisure Activities, Sedentary behaviours, medicine, Humans, Perceptions, 030212 general & internal medicine, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], Exercise, Sedentary lifestyle, Occupation, business.industry, Computers, Public health, Public Health, Environmental and Occupational Health, 030229 sport sciences, Middle Aged, Lifestyle, 3. Good health, Cross-Sectional Studies, santé publique, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Cohort, épidémiologie, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Self Report, Biostatistics, Sedentary Behavior, business, Research Article
Abstract

International audience; Background : Given the unfavourable health outcomes associated with sedentary behaviours, there is a need to better understand the context in which these behaviours take place to better address this public health concern. We explored self-reported sedentary behaviours by type of day (work/non-work), occupation, and perceptions towards physical activity, in a large sample of adults.Methods : We assessed sedentary behaviours cross-sectionally in 35,444 working adults (mean ± SD age: 44.5 ± 13.0 y) from the French NutriNet-Santé web-based cohort. Participants self-reported sedentary behaviours, assessed as domain-specific sitting time (work, transport, leisure) and time spent in sedentary entertainment (TV/DVD, computer and other screen-based activities, non-screen-based activities) on workdays and non-workdays, along with occupation type (ranging from mainly sitting to heavy manual work) and perceptions towards physical activity. Associations of each type of sedentary behaviour with occupation type and perceptions towards physical activity were analysed by day type in multiple linear regression analyses.Results : On workdays, adults spent a mean (SD) of 4.17 (3.07) h/day in work sitting, 1.10 (1.69) h/day in transport sitting, 2.19 (1.62) h/day in leisure-time sitting, 1.53 (1.24) h/day viewing TV/DVDs, 2.19 (2.62) h/day on other screen time, and 0.97 (1.49) on non-screen time. On non-workdays, this was 0.85 (1.53) h/day in transport sitting, 3.19 (2.05) h/day in leisure-time sitting, 2.24 (1.76) h/day viewing TV/DVDs, 1.85 (1.74) h/day on other screen time, and 1.30 (1.35) on non-screen time. Time spent in sedentary behaviours differed by occupation type, with more sedentary behaviour outside of work (both sitting and entertainment time), in those with sedentary occupations, especially on workdays. Negative perceptions towards physical activity were associated with more sedentary behaviour outside of work (both sitting and entertainment time), irrespective of day type.Conclusions : A substantial amount of waking hours was spent in different types of sedentary behaviours on workdays and non-workdays. Being sedentary at work was associated with more sedentary behaviour outside of work. Negative perceptions towards physical activity may influence the amount of time spent in sedentary behaviours. These data should help to better identify target groups in public health interventions to reduce sedentary behaviours in working adults.

Published
2015

26. Spatial heterogeneity of the relationships between environmental characteristics and active commuting: towards a locally varying social ecological model

Author

Paul Salze, Christophe Enaux, Valentina A. Andreeva, Thierry Feuillet, Julien Dugas, Chantal Simon, Serge Hercberg, Hélène Charreire, Mehdi Menai, Christiane Weber, Jean-Michel Oppert, Université Paris 13 (UP13), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Hôpital de Hautepierre [Strasbourg], Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), French National Cancer Institute (Institut National du Cancer, INCa) through the Social sciences and humanities and public health programme [2011-1-PL-SHS-10], Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale (INSERM), Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Paris 13 University, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris-Est Marne-la-Vallée (UPEM) - Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université de Strasbourg - Centre National de la Recherche Scientifique (CNRS), Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA) - Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées de Lyon (INSA Lyon) - Hospices Civils de Lyon - Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pitié-Salpêtrière [APHP] - Institut National de la Santé et de la Recherche Médicale (INSERM) - Assistance publique - Hôpitaux de Paris (AP-HP) - Université Pierre et Marie Curie - Paris 6 (UPMC), HAL UPMC, Gestionnaire, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), and Feuillet, Thierry

Subjects
Male, facteur environnement, [SDV]Life Sciences [q-bio], Business, Management and Accounting(all), Transportation, Level design, Walking, Social Environment, activité physique, Surveys and Questionnaires, Active transportation, Socioeconomics, Built environment, ComputingMilieux_MISCELLANEOUS, Regression analysis, Geographically weighted regression, Cycling, Spatial non-stationarity, Middle Aged, Spatial heterogeneity, [SDV] Life Sciences [q-bio], Geography, Regression Analysis, Social ecological model, Female, Locomotion, Computer Science(all), Adult, Paris, Adolescent, General Computer Science, Health geography, banlieue, moyen de transport, Young Adult, Spatio-Temporal Analysis, Humans, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], Research, Public Health, Environmental and Occupational Health, Social environment, General Business, Management and Accounting, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, 13. Climate action, Geographic Information Systems, Environment Design, Residence, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Demography
Abstract

Thierry Feuillet, Hélène Charreire, Mehdi Menai, Serge Hercberg, Valentina A. Andreeva font partie de l'equipe EREN Equipe de Recherche en Epidémiologie Nutritionnelle; International audience; BackgroundAccording to the social ecological model of health-related behaviors, it is now well accepted that environmental factors influence habitual physical activity. Most previous studies on physical activity determinants have assumed spatial homogeneity across the study area, i.e. that the association between the environment and physical activity is the same whatever the location. The main novelty of our study was to explore geographical variation in the relationships between active commuting (walking and cycling to/from work) and residential environmental characteristics.Methods4,164 adults from the ongoing Nutrinet-Santé web-cohort, residing in and around Paris, France, were studied using a geographically weighted Poisson regression (GWPR) model. Objective environmental variables, including both the built and the socio-economic characteristics around the place of residence of individuals, were assessed by GIS-based measures. Perceived environmental factors (index including safety, aesthetics, and pollution) were reported by questionnaires.ResultsOur results show that the influence of the overall neighborhood environment appeared to be more pronounced in the suburban southern part of the study area (Val-de-Marne) compared to Paris inner city, whereas more complex patterns were found elsewhere. Active commuting was positively associated with the built environment only in the southern and northeastern parts of the study area, whereas positive associations with the socio-economic environment were found only in some specific locations in the southern and northern parts of the study area. Similar local variations were observed for the perceived environmental variables.ConclusionsThese results suggest that: (i) when applied to active commuting, the social ecological conceptual framework should be locally nuanced, and (ii) local rather than global targeting of public health policies might be more efficient in promoting active commuting.

Published
2015

27. Walking and cycling for commuting, leisure and errands: relations with individual characteristics and leisure-time physical activity in a cross-sectional survey (the ACTI-Cites project)

Author

Hélène Charreire, Christophe Enaux, Christiane Weber, Serge Hercberg, Julie Anne Nazare, Jean-Michel Oppert, Chantal Simon, Mehdi Menai, Paul Salze, Thierry Feuillet, Camille Perchoux, Valentina A. Andreeva, Oppert, Jean-Michel, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Université Sorbonne Paris Cité (USPC), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Littoral, Environnement, Télédétection, Géomatique (LETG - Nantes), Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut de Géographie et d'Aménagement (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RH), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-CHU Saint-Etienne-Hospices Civils de Lyon (HCL)-CHU Grenoble-Université Joseph Fourier - Grenoble 1 (UJF), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de Hautepierre [Strasbourg], Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Sorbonne Université (SU), Physiopathologie, cibles et thérapies de la polyarthrite rhumatoïde (Li2P), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-UFR Santé, Médecine et Biologie Humaine-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), French National Cancer Institute (Institut National du Cancer, INCa) through the Social sciences and humanities and public health programme [2011-1-PL-SHS-10], Ministere de la Sante, Institut de Veille Sanitaire (InVS), Institut National de la Prevention et de l'Education pour la Sante (INPES), Fondation pour la Recherche Medicale (FRM), Institut National de la Sante et de la Recherche Medicale, Institut National de la Recherche Agronomique (INRA), Conservatoire National des Arts et Metiers (CNAM), Paris 13 University, Fondation Le Roch - Les Mousquetaires, Université Paris 13 - Université Sorbonne Paris Cité (USPC) - UFR Santé, Médecine et Biologie Humaine - Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris-Est Marne-la-Vallée (UPEM) - Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Hôpital Avicenne, Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA) - Université Claude Bernard Lyon 1 (UCBL) - Institut National des Sciences Appliquées de Lyon (INSA Lyon) - Hospices Civils de Lyon - Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC) - Assistance publique - Hôpitaux de Paris (AP-HP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - CHU Pitié-Salpêtrière [APHP], Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), HAL-UPMC, Gestionnaire, Institut National de la Santé et de la Recherche Médicale (INSERM)-UFR Santé, Médecine et Biologie Humaine-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École pratique des hautes études (EPHE)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement (IGARUN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), and Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)

Subjects
Gerontology, Male, Cross-sectional study, Leisure time, Medicine (miscellaneous), Transportation, Walking, activité physique, 0302 clinical medicine, Cross-sectional, Surveys and Questionnaires, 030212 general & internal medicine, Prospective Studies, education.field_of_study, Nutrition and Dietetics, 05 social sciences, migration alternante, Cycling, Middle Aged, Web-cohort, 3. Good health, Female, France, Psychology, Errands, Public health interventions, Population, Physical activity, Behavioural sciences, Physical Therapy, Sports Therapy and Rehabilitation, motoculteur, 03 medical and health sciences, transport actif, Leisure Activities, Age, Negatively associated, 0502 economics and business, Humans, education, Exercise, Leisure, analyse de cohorte, 050210 logistics & transportation, Commuting, Research, [SDE.ES]Environmental Sciences/Environmental and Society, Bicycling, loisir, réponse à la sélection, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, cycle thermique, Cross-Sectional Studies, Logistic Models, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Correlates, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Self Report, Active transport, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, human activities
Abstract

International audience; Background: Increasing active transport behavior (walking, cycling) throughout the life-course is a key element of physical activity promotion for health. There is, however, a need to better understand the correlates of specific domains of walking and cycling to identify more precisely at-risk populations for public health interventions. In addition, current knowledge of interactions between domains of walking and cycling remains limited. Methods: We assessed past-month self-reported time spent walking and cycling in three specific domains (commuting, leisure and errands) in 39,295 French adult participants (76.5 % women) of the ongoing NutriNet Santé web-cohort. Multivariate logistic regression models were used to investigate the associations with socio-demographic and physical activity correlates. Results: Having a transit pass was strongly positively associated with walking for commuting and for errands but was unrelated to walking for leisure or to all domains of cycling. Having a parking space at work was strongly negatively associated with walking for commuting and cycling for commuting. BMI was negatively associated with both walking for leisure and errands, and with the three domains of cycling. Leisure-time physical activity was negatively associated with walking for commuting but was positively associated with the two other domains of walking and with cycling (three domains). Walking for commuting was positively associated with the other domains of walking; cycling for commuting was also positively associated with the other domains of cycling. Walking for commuting was not associated with cycling for commuting.Conclusions : In adults walking and cycling socio-demographic and physical activity correlates differ by domain (commuting, leisure and errands). Better knowledge of relationships between domains should help to develop interventions focusing not only the right population, but also the right behavior.

Published
2015

29. O06: Pratique de la marche et du vélo en fonction de l’âge chez 32 907 adultes français de la cohorte NutriNet-Santé (Projet ACTI-Cités)

Author

J.-M. Oppert, Serge Hercberg, Valentina A. Andreeva, Chantal Simon, Mehdi Menai, T. Feuillet, Christophe Enaux, Hélène Charreire, and Christiane Weber

Subjects
Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract

Introduction et but de l’etude La promotion de l’activite physique au quotidien, y compris la marche et le velo, est un element cle des programmes nationaux de nutrition de sante publique comme le PNNS. Mieux comprendre les determinants des differents types de marche et de velo est necessaire pour cibler les interventions. Materiel et methodes La pratique sur un mois de differents types de marche et de velo (utilitaire, pour aller au travail, pour les loisirs) a ete evaluee par questionnaire chez 32 907 adultes participants (76,8 % de femme) de la cohorte NutriNet-Sante (Hercberg et coll., 2010). Les analyses ont evalue l’evolution de la marche et du velo a travers des classes d’âge de 5 ans et ont teste certaines variables individuelles et socio-economiques comme determinants potentiels. Resultats et Analyse statistique La pratique de la marche pour se rendre au travail diminue entre 18 et 35 ans (rapportee par 43,4 % a 27,0% des participants) puis reste stable jusqu’a 55 ans. La marche utilitaire reste stable entre 18 et 55 ans (entre 34,2 % et 40,9 %) et augmente ensuite (55,9 % pour les >70 ans). La marche pour les loisirs augmente regulierement jusqu’a 60 ans (de 24,1 % a 61,0 %) et reste stable ensuite. La prevalence de la pratique du velo est largement plus faible que celle de la marche (rapportee par 7,1 % a 11,5 % des participants), et il n’existe pas de tendance claire en fonction de l’âge. Les analyses multivariees* de chacune des classes d’âge** ont montre qu’apres 40 ans, le niveau d’etude est positivement lie a la marche et au velo utilitaire (ORs variant de 1,17 a 1,61), et negativement a la marche pour aller au travail et la marche de loisir (ORs variant de 0,85 a 0,90). Etre en couple peut, apres 60 ans, jouer negativement sur la marche (OR 0,81) ou positivement sur le velo utilitaire (OR 1,37). Entre 28 et 40 ans, avoir des enfants au domicile joue positivement sur la marche utilitaire (OR 1,55) et negativement sur les autres types de marche (ORs pour aller au travail : 0,74 - loisirs : 0,70). Pratiquer des activites physiques de loisir (entre 30 min et 2 h 30 par semaine, ou plus de 2 h 30) joue positivement sur tous les types de marche et de velo (27 ORs sur 38 sont significatifs, variant de 1,14 a 2,13) excepte un effet negatif sur la marche pour aller au travail entre 28 et 40 ans (2 ORs sur 4 sont significatifs, variant de 0,84 a 0,86). Conclusion Ces resultats montrent des evolutions parfois tres differentes dans la pratique de la marche et du velo en fonction de la tranche d’âge et du type de marche ou de velo (utilitaire, de travail ou de loisir) etudie. Les associations entre les facteurs etudies et les pratiques de marche et de velo peuvent aussi varier en fonction du type de transport, pouvant meme aller dans des sens differents selon les âges consideres. En conclusion, ces resultats devraient aider a cibler des populations pour des interventions de sante publique.

Published
2014

30. Home and Work Physical Activity Environments: Associations with Cardiorespiratory Fitness and Physical Activity Level in French Women

Author

Mehdi Menai, Jean-Michel Oppert, Beverley Balkau, Blandine de Lauzon-Guillain, Guy Fagherazzi, Marie-Aline Charles, Soren Brage, Ilse De Bourdeaudhuij, Hélène Charreire, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-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)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Universiteit Gent = Ghent University (UGENT), University of Cambridge [UK] (CAM), Centre de recherche en épidémiologie et santé des populations (CESP), 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), European Union of the European Community [LSHM-CT-2006-037197], UK Medical Research Council [MC_UU_12015/3], HAL UPMC, Gestionnaire, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Universiteit Gent = Ghent University [Belgium] (UGENT), 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), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition ( ICAN ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -CHU Pitié-Salpêtrière [APHP], Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), LAB'URBA ( LAB'URBA ), Université Paris-Est Marne-la-Vallée ( UPEM ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Ghent University [Belgium] ( UGENT ), University of Cambridge [UK] ( CAM ), Centre de recherche en épidémiologie et santé des populations ( CESP ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Université Paris-Sud - Paris 11 ( UP11 ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Ghent University [Belgium] (UGENT), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Brage, Soren [0000-0002-1265-7355], Apollo - University of Cambridge Repository, and Oppert, Jean-Michel

Subjects
Male, Gerontology, Physical Activity & Health, Health, Toxicology and Mutagenesis, Physical fitness, lcsh:Medicine, physical activity, home environment, workplace environment, physical fitness, aerobic capacity, accelerometer, heart rate, questionnaire, 0302 clinical medicine, DESIGN, Accelerometry, Medicine and Health Sciences, Medicine, 030212 general & internal medicine, Workplace, RISK, [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Middle Aged, TIME, Cardiorespiratory Fitness, Cohort, Exercise equipment, Female, HEALTH, France, Adult, medicine.medical_specialty, HEART-RATE, Alpha (ethology), 030209 endocrinology & metabolism, Article, 03 medical and health sciences, Heart rate, Humans, COHORT, VALIDITY, Exercise, business.industry, lcsh:R, Work (physics), Public Health, Environmental and Occupational Health, Cardiorespiratory fitness, BELGIAN ADULTS, Physical activity level, EXERCISE EQUIPMENT, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Exercise Test, Physical therapy, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT, Energy Metabolism, business
Abstract

International audience; The influence of the physical activity environment in the home and at work on cardiorespiratory fitness (CRF) and objectively-measured physical activity has not been extensively studied. We recruited 147 women with a (mean ± SD) age of 54 ± 7 years and without evidence of chronic disease. The physical activity environment was assessed by self-report (Assessing Levels of PHysical Activity or ALPHA questionnaire), CRF using a submaximal step test, usual physical activity using combined heart rate and accelerometry, as well as by a validated questionnaire (Recent Physical Activity Questionnaire). Summary scores of the home environment and the work environment derived from the ALPHA questionnaire were positively correlated with CRF after adjustment for age (r = 0.18, p = 0.03 and r = 0.28, p < 0.01, respectively). Women owning a bicycle or having a garden (which may prompt physical activity) had higher CRF; those with a bicycle at home also had a higher physical activity energy expenditure. Similarly, women who had access to fitness equipment at work had higher CRF. In conclusion, these results provide new insights into potential environmental influences on physical capacity and physical activity that could inform the design of physical activity promotion strategies.

Published
2016

31. Association between maternal blood cadmium during pregnancy and birth weight and the risk of fetal growth restriction: the EDEN mother-child cohort study

Author

Anne Forhan, Mehdi Menai, Marie-Aline Charles, Chadi Yazbeck, Rémy Slama, Josiane Sahuquillo, and Barbara Heude

Subjects
Male, Risk, medicine.medical_specialty, Offspring, Birth weight, Mothers, Toxicology, Cohort Studies, Pregnancy, Placenta, Medicine, Humans, Child, Maternal-Fetal Exchange, Fetus, Fetal Growth Retardation, business.industry, Obstetrics, Smoking, Infant, Newborn, Environmental exposure, medicine.disease, Fetal Blood, medicine.anatomical_structure, Cohort, Environmental Pollutants, Female, France, business, Cohort study, Cadmium
Abstract

The objective of this study is to investigate the potential effect of maternal environmental cadmium (Cd) exposure on birth weight and fetal growth restriction (FGR). A total of 901 pregnant women from the EDEN cohort study were enrolled from two maternity units. Blood Cd was measured at mid-pregnancy and associations with birth weight and FGR were analyzed. Maternal Cd levels were associated with reduced birth weight in the offspring of women who smoked during pregnancy (b=-113.7; p=0.001). Smoking during pregnancy and maternal blood Cd concentrations had comparable effects on FGR incidence (OR 1.89; 95% CI: 1.00-3.58 and OR=1.41; 95% CI: 1.00-1.99, respectively). This study highlights the effect of Cd toxicity on fetal growth through the probable accumulation and transmission of this metal through the placenta. The close relationship between blood Cd levels and smoking habits indicates that Cd may be a relevant biomarker for smoking toxicity on fetal development.

Published
2012

32. LB01.09

Author

Mehdi Menai, Angela Chieh, B. Brouard, and Hélène Lelong

Subjects
medicine.medical_specialty, Blood pressure, genetic structures, Physiology, Longitudinal data, business.industry, Association (object-oriented programming), Internal Medicine, Physical therapy, medicine, Cardiology and Cardiovascular Medicine, business, Large cohort
Abstract

Objective:Increase or decrease of blood pressure has recently been linked to active transportation, and represents a convenient prevention tool. However, there is a need of objective and longitudinal data to deliver tailored recommendations. The aim of the study is to assess this link on a large pop

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results