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5. Determinant factors of physical fitness in European children

Author

Zaqout, Mahmoud, Vyncke, Krishna, Moreno, Luis A., De Miguel-Etayo, Pilar, Lauria, Fabio, Molnar, Denes, Lissner, Lauren, Hunsberger, Monica, Veidebaum, Toomas, Tornaritis, Michael, Reisch, Lucia A., Bammann, Karin, Sprengeler, Ole, Ahrens, Wolfgang, and Michels, Nathalie

Published
2016
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7. Erfassung von körperlicher Aktivität und deren Zusammenhänge mit Übergewicht im Kindes- und Jugendalter

Author

Sprengeler, Ole, Ahrens, Wolfgang, and Hebestreit, Antje

Subjects
Bewegungsforschung, Gesundheitsförderung und Prävention, Kinder und Jugendliche, Methodik, ddc:80
Abstract

Körperliche Aktivität hat sich mittlerweile als ein Schlüsselfaktor für die Gesundheit im Kindes- und Jugendalter sowie als zentraler Aspekt des Gesundheitsverhaltens etabliert. Trotz des hohen Stellenwertes von körperlicher Aktivität für die Gesundheitsförderung und Prävention – institutionalisiert durch international anerkannte Bewegungsempfehlungen (mindestens 60 Minuten moderate bis intensive körperliche Aktivität pro Tag) – mangelt es nach wie vor an ausreichender Evidenz für präventive Zusammenhänge zwischen körperlicher Aktivität und Übergewicht. Zudem bewegt sich der Großteil aller Kinder und Jugendlichen nicht ausreichend, also entsprechend der Bewegungsempfehlungen. Um im Rahmen der vorliegenden Arbeit einen Beitrag zum o.g. Forschungsgegenstand zu leisten, wurden auf der Datenbasis eines pan-europäischen sowie zweier nationaler Projekten vier Artikel mit unterschiedlichen Schwerpunkten verfasst. Die Ziele der Artikel lagen darin, die longitudinalen Zusammenhänge von körperlicher Aktivität und Gewichtstatus näher zu beleuchten und das Bewegungsverhalten im Tagesverlauf von Schulkindern detailliert zu untersuchen, sodass erfolgversprechende Ansätze für Bewegungsförderung identifiziert werden können. Das übergeordnete Ziel der Arbeit, Ansätze für Bewegungsförderung und Prävention von Übergewicht im Kindes- und Jugendalter zu identifizieren, ergibt sich aus der Synergie der ätiologischen und methodischen Fragestellungen der verschiedenen Studien. Einerseits bestärken die gewonnenen Erkenntnisse die notwendige und flächendeckende Förderung von moderater bis intensiver körperlicher Aktivität und sprechen dafür, dass die regelmäßige Teilnahme am Schul- und Vereinssport geeignete Strategien sind, Schulkinder bei der Erreichung des Ziels ausreichender Bewegung zu unterstützen. Andererseits verdeutlichen die Erkenntnisse, dass Akzelerometer als objektive Erfassungsmethode zwar die beste Wahl sind, um Bewegungsverhalten im Kindes- und Jugendalter zu messen, doch dass auch diese Methode gewisse Limitationen aufweist, die bestenfalls durch ergänzende subjektive Methoden wie Bewegungstagebücher kompensiert werden sollten.

Published
2021
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8. Variations in accelerometry measured physical activity and sedentary time across Europe - harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Hansen, Bjørge Herman, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Puder, Jardena J., Reilly, John J., Sardinha, Luis B., Van Sluijs, Esther M. F., Andersen, Lars Bo, Van Der Ploeg, Hidde, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., De Henauw, Stefaan, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Ruiz, Jonatan, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, Ekelund, Ulf, Andersen, L. B., Anderssen, S., Atkin, A. J., Cardon, G., Davey, R., Ekelund, U., Esliger, D. W., Hallal, P., Hansen, B. H., Janz, K. F., Kriemler, S., Møller, N., Northstone, K., Pate, R., Puder, J. J., Reilly, J., Salmon, J., Sardinha, L. B., Sherar, L. B., Van Sluijs, E. M. F., Steene-Johannessen, Jostein [0000-0002-3710-9021], Apollo - University of Cambridge Repository, Université de Lille, LillOA, Norwegian School of Sport Sciences = Norges idrettshøgskole [Oslo] (NIH), University Hospitals Bristol, University of Southern Denmark (SDU), Universität Zürich [Zürich] = University of Zurich (UZH), University of Bristol [Bristol], Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), University of Strathclyde [Glasgow], Universidade de Lisboa = University of Lisbon (ULISBOA), University of Cambridge [UK] (CAM), Western Norway University of Applied Sciences, VU University Medical Center [Amsterdam], Leibniz Institute for Prevention Research and Epidemiology - BIPS, Leibniz Association, Helmholtz Zentrum München = German Research Center for Environmental Health, German Research Center for Environmental Health - Helmholtz Center München (GmbH), University of Zaragoza - Universidad de Zaragoza [Zaragoza], Universiteit Gent = Ghent University (UGENT), Universidad de Granada = University of Granada (UGR), Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Malta [Malta], University of Copenhagen = Københavns Universitet (UCPH), Universidade Católica Portuguesa [Porto], Polytechnic Institute of Porto, Newcastle University [Newcastle], University of London [London], St George's, University of London, University of Skövde [Sweden], Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Institute of Sciences of Food Production (ISPA), Consiglio Nazionale delle Ricerche (CNR), Lille Inflammation Research International Center - U 995 (LIRIC), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), University of Cyprus [Nicosia] (UCY), Tallinn University, University of Pecs, Harokopio University of Athens, University of Tartu, University of Crete [Heraklion] (UOC), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Universidade de Lisboa (ULISBOA), Helmholtz-Zentrum München (HZM), Universiteit Gent = Ghent University [Belgium] (UGENT), Universidad de Granada (UGR), Universidad de Castilla-La Mancha (UCLM), University of Helsinki, University of Copenhagen = Københavns Universitet (KU), Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), University of Cyprus [Nicosia], Université de Lille, Inserm, CHU Lille, Norwegian School of Sport Sciences = Norges idrettshøgskole [Oslo] [NIH], University of Southern Denmark [SDU], Centre Hospitalier Universitaire Vaudois [Lausanne] [CHUV], Universidade de Lisboa = University of Lisbon [ULISBOA], University of Cambridge [UK] [CAM], Universiteit Gent = Ghent University [UGENT], Universidad de Granada = University of Granada [UGR], Universidad de Castilla-La Mancha = University of Castilla-La Mancha [UCLM], University of Copenhagen = Københavns Universitet [UCPH], Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics [CREA], Institute of Sciences of Food Production [ISPA], Lille Inflammation Research International Center - U 995 [LIRIC], University of Cyprus [Nicosia] [UCY], University of Crete [Heraklion] [UOC], Department of Food and Nutrition, Nutrition Science, Repositório Científico do Instituto Politécnico do Porto, Public and occupational health, and APH - Health Behaviors & Chronic Diseases

Subjects
Male, DANISH CHILDREN, RECOMMENDED LEVELS, FITNESS, Physical Therapy, [SDV]Life Sciences [q-bio], Medicine (miscellaneous), Acceleometry, RA773, Motor activity, 0302 clinical medicine, Accelerometry, Medicine and Health Sciences, Faculty of Science, Medicine, adolescents, 030212 general & internal medicine, Child, lcsh:RC620-627, National data, CALIBRATION, Nutrition and Dietetics, lcsh:Public aspects of medicine, Public Health, Global Health, Social Medicine and Epidemiology, Accelerometry measured, [SDV] Life Sciences [q-bio], Europe, lcsh:Nutritional diseases. Deficiency diseases, Child, Preschool, Female, 3143 Nutrition, BEHAVIOR, Adolescent, sedentary time, PARTICIPATION, Physical activity, Behavioural sciences, Physical Therapy, Sports Therapy and Rehabilitation, Sports Therapy and Rehabilitation, Clinical nutrition, VALIDATION, VDP::Samfunnsvitenskap: 200::Samfunnsvitenskapelige idrettsfag: 330::Aktivitetslære: 332, Wear time, 03 medical and health sciences, children, Humans, Exercise physiology, Physical activity & health, Exercise, Sedentary time, business.industry, Research, lcsh:RA1-1270, 030229 sport sciences, BODY-MASS INDEX, accelerometer, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, SCHOOL, Commentary, MODERATE, SPS Exercise, Nutrition and Health Sciences, Sedentary Behavior, business, Body mass index, Demography
Abstract

Funder: Ministero delle Politiche Agricole Alimentari e Forestali; doi: http://dx.doi.org/10.13039/501100005401, Funder: ZonMw; doi: http://dx.doi.org/10.13039/501100001826, Funder: The Research Council of Norway, Division for Society and Health., Background: Levels of physical activity and variation in physical activity and sedentary time by place and person in European children and adolescents are largely unknown. The objective of the study was to assess the variations in objectively measured physical activity and sedentary time in children and adolescents across Europe. Methods: Six databases were systematically searched to identify pan-European and national data sets on physical activity and sedentary time assessed by the same accelerometer in children (2 to 9.9 years) and adolescents (≥10 to 18 years). We harmonized individual-level data by reprocessing hip-worn raw accelerometer data files from 30 different studies conducted between 1997 and 2014, representing 47,497 individuals (2–18 years) from 18 different European countries. Results: Overall, a maximum of 29% (95% CI: 25, 33) of children and 29% (95% CI: 25, 32) of adolescents were categorized as sufficiently physically active. We observed substantial country- and region-specific differences in physical activity and sedentary time, with lower physical activity levels and prevalence estimates in Southern European countries. Boys were more active and less sedentary in all age-categories. The onset of age-related lowering or leveling-off of physical activity and increase in sedentary time seems to become apparent at around 6 to 7 years of age. Conclusions: Two third of European children and adolescents are not sufficiently active. Our findings suggest substantial gender-, country- and region-specific differences in physical activity. These results should encourage policymakers, governments, and local and national stakeholders to take action to facilitate an increase in the physical activity levels of young people across Europe.

Published
2020
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9. [Measuring physical fitness in the German National Cohort-methods, quality assurance, and first descriptive results]

Author

Kluttig, Alexander, Zschocke, Johannes, Haerting, Johannes, Schmermund, Axel, Gastell, Sylvia, Steindorf, Karen, Herbolsheimer, Florian, Hillreiner, Andrea, Jochem, Carmen, Baumeister, Sebastian, Sprengeler, Ole, Pischon, Tobias, Jaeschke, Lina, Michels, Karin B, Krist, Lilian, Greiser, Halina, Schmidt, Gerhard, Lieb, Wolfgang, Waniek, Sabina, Becher, Heiko, Jagodzinski, Annika, Schipf, Sabine, Völzke, Henry, Ahrens, Wolfgang, Günther, Kathrin, Castell, Stefanie, Kemmling, Yvonne, Legath, Nicole, Berger, Klaus, Keil, Thomas, Fricke, Julia, Schulze, Matthias B, Loeffler, Markus, Wirkner, Kerstin, Kuß, Oliver, Schikowski, Tamara, Kalinowski, Sonja, Stang, Andreas, Kaaks, Rudolf, Damms Machado, Antje, Hoffmeister, Michael, Weber, Barbara, Franzke, Claus-Werner, Thierry, Sigrid, Peters, Anette, Kartschmit, Nadja, Mikolajczyk, Rafael, Fischer, Beate, Leitzmann, Michael, Brandes, Mirko, and HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.

Subjects
Adult, Male, German National Cohort, Hand Strength, Muscle strength, Physical fitness, Oxygen, Young Adult, Oxygen Consumption, Grip strength, Physical Fitness, Germany, Exercise Test, Humans, Female, Cardiorespiratory fitness
Abstract

Physical fitness is defined as an individual's ability to be physically active. The main components are cardiorespiratory fitness (CRF), muscle strength, and flexibility. Regardless of physical activity level, physical fitness is an important determinant of morbidity and mortality.The aim of the current study was to describe the physical fitness assessment methodology in the German National Cohort (NAKO) and to present initial descriptive results in a subsample of the cohort.In the NAKO, hand grip strength (GS) and CRF as physical fitness components were assessed at baseline using a hand dynamometer and a submaximal bicycle ergometer test, respectively. Maximum oxygen uptake (VO2max) was estimated as a result of the bicycle ergometer test. The results of a total of 99,068 GS measurements and 3094 CRF measurements are based on a data set at halftime of the NAKO baseline survey (age 20-73 years, 47% men).Males showed higher values of physical fitness compared to women (males: GS = 47.8 kg, VO2max = 36.4 ml·min-1 · kg-1; females: GS = 29.9 kg, VO2max = 32.3 ml · min-1 · kg-1). GS declined from the age of 50 onwards, whereas VO2max levels decreased continuously between the age groups of 20-29 and ≥60 years. GS and VO2max showed a linear positive association after adjustment for body weight (males β = 0.21; females β = 0.35).These results indicate that the physical fitness measured in the NAKO are comparable to other population-based studies. Future analyses in this study will focus on examining the independent relations of GS and CRF with risk of morbidity and mortality.

Published
2020

11. Messung der körperlichen Fitness in der NAKO Gesundheitsstudie – Methoden, Qualitätssicherung und erste deskriptive Ergebnisse

Author

Kluttig, Alexander, primary, Zschocke, Johannes, additional, Haerting, Johannes, additional, Schmermund, Axel, additional, Gastell, Sylvia, additional, Steindorf, Karen, additional, Herbolsheimer, Florian, additional, Hillreiner, Andrea, additional, Jochem, Carmen, additional, Baumeister, Sebastian, additional, Sprengeler, Ole, additional, Pischon, Tobias, additional, Jaeschke, Lina, additional, Michels, Karin B., additional, Krist, Lilian, additional, Greiser, Halina, additional, Schmidt, Gerhard, additional, Lieb, Wolfgang, additional, Waniek, Sabina, additional, Becher, Heiko, additional, Jagodzinski, Annika, additional, Schipf, Sabine, additional, Völzke, Henry, additional, Ahrens, Wolfgang, additional, Günther, Kathrin, additional, Castell, Stefanie, additional, Kemmling, Yvonne, additional, Legath, Nicole, additional, Berger, Klaus, additional, Keil, Thomas, additional, Fricke, Julia, additional, Schulze, Matthias B., additional, Loeffler, Markus, additional, Wirkner, Kerstin, additional, Kuß, Oliver, additional, Schikowski, Tamara, additional, Kalinowski, Sonja, additional, Stang, Andreas, additional, Kaaks, Rudolf, additional, Damms Machado, Antje, additional, Hoffmeister, Michael, additional, Weber, Barbara, additional, Franzke, Claus-Werner, additional, Thierry, Sigrid, additional, Peters, Anette, additional, Kartschmit, Nadja, additional, Mikolajczyk, Rafael, additional, Fischer, Beate, additional, Leitzmann, Michael, additional, and Brandes, Mirko, additional

Published
2020
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12. Körperliche Aktivität in der NAKO Gesundheitsstudie: erste Ergebnisse des multimodalen Erhebungskonzepts

Author

Leitzmann, Michael, primary, Gastell, Sylvia, additional, Hillreiner, Andrea, additional, Herbolsheimer, Florian, additional, Baumeister, Sebastian E., additional, Bohn, Barbara, additional, Brandes, Mirko, additional, Greiser, Halina, additional, Jaeschke, Lina, additional, Jochem, Carmen, additional, Kluttig, Alexander, additional, Krist, Lilian, additional, Michels, Karin B., additional, Pischon, Tobias, additional, Schmermund, Axel, additional, Sprengeler, Ole, additional, Zschocke, Johannes, additional, Ahrens, Wolfgang, additional, Baurecht, Hansjörg, additional, Becher, Heiko, additional, Berger, Klaus, additional, Brenner, Hermann, additional, Castell, Stefanie, additional, Fischer, Beate, additional, Franzke, Claus-Werner, additional, Fricke, Julia, additional, Hoffmann, Wolfgang, additional, Holleczek, Bernd, additional, Kaaks, Rudolf, additional, Kalinowski, Sonja, additional, Keil, Thomas, additional, Kemmling, Yvonne, additional, Kuß, Oliver, additional, Legath, Nicole, additional, Lieb, Wolfgang, additional, Linseisen, Jakob, additional, Löffler, Markus, additional, Mikolajczyk, Rafael, additional, Obi, Nadia, additional, Peters, Annette, additional, Ratjen, Ilka, additional, Schikowski, Tamara, additional, Schulze, Matthias B., additional, Stang, Andreas, additional, Thierry, Sigrid, additional, Völzke, Henry, additional, Wirkner, Kerstin, additional, and Steindorf, Karen, additional

Published
2020
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13. Additional file 3 of Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Bjørge Herman Hansen, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Jardena J. Puder, Reilly, John J., Sardinha, Luis B., Sluijs, Esther M. F. Van, Andersen, Lars Bo, Ploeg, Hidde Van Der, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., Henauw, Stefaan De, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Jonatan Ruiz, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, and Ekelund, Ulf

Subjects
food and beverages
Abstract

Additional file 3. Predicted time spent per day in total physical activity, moderate to vigorous PA and sedentary by country and stratified by children and adolescents.

Published
2020
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14. Additional file 4 of Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Bjørge Herman Hansen, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Jardena J. Puder, Reilly, John J., Sardinha, Luis B., Sluijs, Esther M. F. Van, Andersen, Lars Bo, Ploeg, Hidde Van Der, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., Henauw, Stefaan De, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Jonatan Ruiz, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, and Ekelund, Ulf

Abstract

Additional file 4. Physical activity outputs (CPM and MVPA) by “ActiGraph model”.

Published
2020
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15. Additional file 1 of Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Bjørge Herman Hansen, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Jardena J. Puder, Reilly, John J., Sardinha, Luis B., Sluijs, Esther M. F. Van, Andersen, Lars Bo, Ploeg, Hidde Van Der, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., Henauw, Stefaan De, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Jonatan Ruiz, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, and Ekelund, Ulf

Abstract

Additional file 1. Descriptive characteristics (mean, SD) of study participants by country. This table describes proportion of boys and girls, age and weight status within each country

Published
2020
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16. Additional file 2 of Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Bjørge Herman Hansen, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Jardena J. Puder, Reilly, John J., Sardinha, Luis B., Sluijs, Esther M. F. Van, Andersen, Lars Bo, Ploeg, Hidde Van Der, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., Henauw, Stefaan De, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Jonatan Ruiz, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, and Ekelund, Ulf

Abstract

Additional file 2. Accelelloremeter-assessed physical activity and sedentary time by region for the total sample and based on ages

Published
2020
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17. Additional file 5 of Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Author

Steene-Johannessen, Jostein, Bjørge Herman Hansen, Dalene, Knut Eirik, Kolle, Elin, Northstone, Kate, Møller, Niels Christian, Grøntved, Anders, Wedderkopp, Niels, Kriemler, Susi, Page, Angie S., Jardena J. Puder, Reilly, John J., Sardinha, Luis B., Sluijs, Esther M. F. Van, Andersen, Lars Bo, Ploeg, Hidde Van Der, Ahrens, Wolfgang, Flexeder, Claudia, Standl, Marie, Shculz, Holger, Moreno, Luis A., Henauw, Stefaan De, Michels, Nathalie, Cardon, Greet, Ortega, Francisco B., Jonatan Ruiz, Aznar, Susana, Fogelholm, Mikael, Decelis, Andrew, Olesen, Line Grønholt, Hjorth, Mads Fiil, Santos, Rute, Vale, Susana, Christiansen, Lars Breum, Jago, Russ, Basterfield, Laura, Owen, Christopher G., Nightingale, Claire M., Eiben, Gabriele, Polito, Angela, Lauria, Fabio, Vanhelst, Jeremy, Hadjigeorgiou, Charalambos, Konstabel, Kenn, Molnár, Dénes, Sprengeler, Ole, Manios, Yannis, Harro, Jaanus, Kafatos, Anthony, Anderssen, Sigmund Alfred, and Ekelund, Ulf

Abstract

Additional file 5. Odds ratio (95% CI) for being categorized as physically active by European region excluding participants

Published
2020
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18. Socioeconomic Patterning of Children's Accelerometer-Assessed Physical Activity Intensities and Adiposity: A Pooled Analysis of Individual-Level Data for 26,915 Children and Adolescents from 36 European Cohorts

Author

Luzak, Agnes, primary, Guadalupe Grau, Amelia, additional, Sjödin, Anders Mikael, additional, Decelis, Andrew, additional, Polito, Angela, additional, Page, Angie, additional, Owen, Christopher G., additional, Nightingale, Claire, additional, Flexeder, Claudia, additional, van Sluijs, Esther MF, additional, Cardon, Greet, additional, Schulz, Holger, additional, Huybrechts, Inge, additional, Puder, Jardena J., additional, Adams, Jean, additional, Mota, Jorge, additional, Casajús, José Antonio, additional, Steene-Johannessen, Jostein, additional, Northstone, Kate, additional, Konstabel, Kenn, additional, Andersen, Lars Bo, additional, Christiansen, Lars B., additional, Basterfield, Laura, additional, Lissner, Lauren, additional, Beghin, Laurent, additional, Olesen, Line G., additional, Moreno, Luis A., additional, Sardinha, Luis B., additional, Hjorth, Mads F., additional, Standl, Marie, additional, Togtager, Mette, additional, Michels, Nathalie, additional, Sprengeler, Ole, additional, Russo, Paola, additional, Kristensen, Peter Lund, additional, Love, Rebecca, additional, Jago, Russell, additional, De Henauw, Stefaan, additional, Vale, Susana, additional, Kriemler, Susi, additional, Ekelund, Ulf, additional, and Ahrens, Wolfgang, additional

Published
2020
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19. Assessing physical behavior through accelerometry – State of the science, best practices and future directions

Author

Professur für Sport- und Gesundheitsdidaktik, Burchartz, Alexander; Anedda, Bastian; Auerswald, Tina; Giurgiu, Marco; Hill, Holger; Ketelhut, Sascha; Kolb, Simon; Mall, Christoph; Manz, Kristin; Nigg, Claudio R.; Reichert, Markus; Sprengeler, Ole; Wunsch, Kathrin; Matthews, Charles E., Professur für Sport- und Gesundheitsdidaktik, and Burchartz, Alexander; Anedda, Bastian; Auerswald, Tina; Giurgiu, Marco; Hill, Holger; Ketelhut, Sascha; Kolb, Simon; Mall, Christoph; Manz, Kristin; Nigg, Claudio R.; Reichert, Markus; Sprengeler, Ole; Wunsch, Kathrin; Matthews, Charles E.

Published
2019

20. Food and beverage intakes according to physical activity levels in European children : the IDEFICS (Identification and prevention of Dietary and lifestyle induced health EFfects In Children and infantS) study

Author

Santaliestra-Pasías, Alba M., Dios, Jaime E. Llamas, Sprengeler, Ole, Hebestreit, Antje, De Henauw, Stefaan, Eiben, Gabriele, Felsö, Regina, Lauria, Fabio, Tornaritis, Michael, Veidebaum, Toomas, Pala, Valeria, Moreno, Luis A., Santaliestra-Pasías, Alba M., Dios, Jaime E. Llamas, Sprengeler, Ole, Hebestreit, Antje, De Henauw, Stefaan, Eiben, Gabriele, Felsö, Regina, Lauria, Fabio, Tornaritis, Michael, Veidebaum, Toomas, Pala, Valeria, and Moreno, Luis A.

Abstract

OBJECTIVE: Physical activity (PA) levels and dietary habits are considered some of the most important factors associated with obesity. The present study aimed to examine the association between PA level and food and beverage consumption in European children (2-10 years old).Design/Setting/SubjectsA sample of 7229 children (49·0 % girls) from eight European countries participating in the IDEFICS (Identification and prevention of Dietary and lifestyle induced health EFfects In Children and infantS) study was included. Moderate-to-vigorous PA (MVPA) was assessed objectively with accelerometers. FFQ was used to register dietary habits. ANCOVA and binary logistic regression were applied. RESULTS: Boys who spent less time in MVPA reported lower consumption of vegetables, fruits, cereals, yoghurt, milk, bread, pasta, candies and sugar-sweetened beverages (SSB) than boys who spent more time in MVPA (P<0·05). Moreover, boys who spent less time in MVPA were more likely to consume fast foods and water than those in the highest MVPA tertile (P<0·05). Girls who spent less time in MVPA reported lower consumption frequencies of vegetables, pasta, bread, yoghurt, candies, jam/honey and SSB than girls in the highest MVPA tertile (P<0·05). Also, girls in the lowest MVPA tertile were more likely to consume fast foods and water than those with high levels of MVPA (P<0·05). CONCLUSIONS: Food intake among European children varied with different levels of daily MVPA. Low time spent in MVPA was associated with lowest consumption of both high- and low-energy-dense foods and high fast-food consumption., Copyright © The Authors 2018 . The RightsLink Digital Licensing and Rights Management Service (including RightsLink for Open Access) is available (A) to users of copyrighted works found at the websites of participating publishers who are seeking permissions or licenses to use those works, and (B) to authors of articles and other manuscripts who are seeking to pay author publication charges in connection with the submission of their works to publishers

Published
2018
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22. Food and beverage intakes according to physical activity levels in European children: the IDEFICS (Identification and prevention of Dietary and lifestyle induced health EFfects In Children and infantS) study.

Author

Santaliestra-Pasías, Alba M, Dios, Jaime E Llamas, Sprengeler, Ole, Hebestreit, Antje, De Henauw, Stefaan, Eiben, Gabriele, Felsö, Regina, Lauria, Fabio, Tornaritis, Michael, Veidebaum, Toomas, Pala, Valeria, Moreno, Luis A, Santaliestra-Pasías, Alba M, and Felsö, Regina

Subjects
FOOD consumption, BEVERAGE consumption, PHYSICAL activity, CHILD nutrition, LIFESTYLES & health, ANALYSIS of covariance, INGESTION, PROBABILITY theory, QUESTIONNAIRES, LOGISTIC regression analysis
Abstract

Objective: Physical activity (PA) levels and dietary habits are considered some of the most important factors associated with obesity. The present study aimed to examine the association between PA level and food and beverage consumption in European children (2-10 years old).Design/Setting/SubjectsA sample of 7229 children (49·0 % girls) from eight European countries participating in the IDEFICS (Identification and prevention of Dietary and lifestyle induced health EFfects In Children and infantS) study was included. Moderate-to-vigorous PA (MVPA) was assessed objectively with accelerometers. FFQ was used to register dietary habits. ANCOVA and binary logistic regression were applied.Results: Boys who spent less time in MVPA reported lower consumption of vegetables, fruits, cereals, yoghurt, milk, bread, pasta, candies and sugar-sweetened beverages (SSB) than boys who spent more time in MVPA (P<0·05). Moreover, boys who spent less time in MVPA were more likely to consume fast foods and water than those in the highest MVPA tertile (P<0·05). Girls who spent less time in MVPA reported lower consumption frequencies of vegetables, pasta, bread, yoghurt, candies, jam/honey and SSB than girls in the highest MVPA tertile (P<0·05). Also, girls in the lowest MVPA tertile were more likely to consume fast foods and water than those with high levels of MVPA (P<0·05).Conclusions: Food intake among European children varied with different levels of daily MVPA. Low time spent in MVPA was associated with lowest consumption of both high- and low-energy-dense foods and high fast-food consumption. [ABSTRACT FROM AUTHOR]

Published
2018
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23. Akzelerometrie zur Erfassung körperlicher Aktivität

Author

Gabrys, Lars, primary, Thiel, Christian, additional, Tallner, Alexander, additional, Wilms, Britta, additional, Müller, Carsten, additional, Kahlert, Daniela, additional, Jekauc, Darko, additional, Frick, Fabienne, additional, Schulz, Holger, additional, Sprengeler, Ole, additional, Hey, Stefan, additional, Kobel, Susanne, additional, and Vogt, Lutz, additional

Published
2014
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24. Physical Activity Enjoyment and Self-Efficacy As Predictors of Cancer Patients' Physical Activity Level.

Author

Ungar, Nadine, Wiskemann, Joachim, Sieverding, Monika, Antoniewicz, Franziska, Niermann, Christina, and Sprengeler, Ole

Subjects
PHYSICAL activity, SELF-efficacy, HEALTH of cancer patients, CANCER treatment, QUALITY of life, STRESS management
Abstract

Background: Physical activity (PA) can support cancer patients during medical treatment by reducing side-effects and increasing quality of life. However, PA levels mostly decline after diagnosis. Which factors can explain if patients are able to remain or even increase their PA level? Self-efficacy is an important cognitive factor that has been linked to cancer patients' PA across many studies. In contrast, affective factors such as PA enjoyment have rarely been examined. We compare the influence of self-efficacy and PA enjoyment on cancer patients' PA levels after completion of an exercise or stress-management intervention. Methods: Outpatient cancer patients [N = 72; 54% female; M = 56 years, SD = 12.34; most with breast or colon cancer (34%, 15%)] were enrolled in the MOTIVACTION study, a 4-week intervention (1 h counseling followed by weekly phone calls), with pre-test (T1), post-test (T2), and a 10-week follow-up (T3). Participants were randomized to either an exercise intervention (emphasizing self-regulatory strategies for behavior change) or to a stress management intervention (coping and relaxation techniques). Sixty-seven patients remained in the study and completed the SQUASH assessment of PA, a measure of maintenance self-efficacy (7 items, Cronbach's α = 0.88) and PA enjoyment (2 items, Cronbach's α = 0.89). Regression analyses were calculated with PA level (at T2 and T3) as dependent variable and relative weight analyses were conducted. The study was registered at clinicalTrials.gov (unique identifier:NCT01576107; URL: https://clinicaltrials.gov/ct2/show/NCT01576107?term=motivaction&rank=1). Results: Baseline self-efficacy and change in PA enjoyment significantly predicted cancer patients' PA level at T2 adjusting for baseline PA and type of intervention. Relative weight (RW) analysis revealed that PA enjoyment (baseline and change together) explained 34.3% of the dependent variable, self-efficacy (baseline and change) explained 38.4%. At follow-up, self-efficacy was still a significant predictor of PA (RW = 74.6%), whereas PA enjoyment was no longer a relevant factor (RW = 5.2%). Conclusion: The affective factor PA enjoyment was equally important as self-efficacy for predicting cancer patient' PA level directly after completion of the intervention. Reasons for the reduced relevance at follow-up and a broader range of affective factors should be analyzed in future studies on cancer patients' PA level. [ABSTRACT FROM AUTHOR]

Published
2016
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25. [Physical activity in the German National Cohort (NAKO): use of multiple assessment tools and initial results].

Author

Leitzmann M, Gastell S, Hillreiner A, Herbolsheimer F, Baumeister SE, Bohn B, Brandes M, Greiser H, Jaeschke L, Jochem C, Kluttig A, Krist L, Michels KB, Pischon T, Schmermund A, Sprengeler O, Zschocke J, Ahrens W, Baurecht H, Becher H, Berger K, Brenner H, Castell S, Fischer B, Franzke CW, Fricke J, Hoffmann W, Holleczek B, Kaaks R, Kalinowski S, Keil T, Kemmling Y, Kuß O, Legath N, Lieb W, Linseisen J, Löffler M, Mikolajczyk R, Obi N, Peters A, Ratjen I, Schikowski T, Schulze MB, Stang A, Thierry S, Völzke H, Wirkner K, and Steindorf K

Subjects
Accelerometry, Adult, Aged, Cohort Studies, Female, Germany, Humans, Male, Middle Aged, Surveys and Questionnaires, Young Adult, Exercise
Abstract

Background: Physical activity is a complex behavior that is difficult to measure validly and reliably in large, population-based studies. Data on physical activity are available for the initial 100,000 participants of the German National Cohort., Objectives: To describe the baseline physical activity assessment in the cohort and to present initial descriptive results., Material and Methods: Physical activity was assessed using a combination of tools, including two self-administered questionnaires, the Questionnaire on Annual Physical Activity Pattern (QUAP) and the Global Physical Activity Questionnaire (GPAQ); a computer-based 24‑h physical activity recall (cpar24); and 7‑day accelerometry (Actigraph GT3X/+; ActiGraph, Pensacola, FL, USA)., Results: The availability of data varied between assessment instruments (QUAP: n = 16,372; GPAQ: n = 90,900; cpar24: n = 23,989; accelerometry: n = 35,218). Analyses across measurement tools showed that on average, women spent 75 to 216 min/d, and men spent 73 to 224 min/d in moderate or higher intensity total physical activity. Persons aged 20-39 years spent 66 to 200 min/d, and persons aged 40-69 years spent 78 to 244 min/d in moderate or higher intensity total physical activity., Conclusions: Initial baseline analyses of physical activity in this cohort show the value of using a combination of questionnaires, 24‑h recalls, and a movement sensor. The comprehensive data collection represents a valuable resource for future analyses and will improve our understanding of the association between physical activity and disease prevention.

Published
2020
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