12 results on '"Vanhelst, Jeremy"'
Search Results
2. 2022 French Report Card on Physical Activity and Sedentary Behaviors in Children and Youth: From Continuous Alarming Conclusions to Encouraging Initiatives.
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Fillon, Alicia, Vanhelst, Jeremy, Genin, Pauline, Larras, Benjamin, Tardieu, Michéle, Porcherie, Marion, Luiggi, Maxime, Aubert, Salomé, Verdot, Charlotte, Rey, Olivier, Lhuisset, Lena, Bois, Julien E., Millet, Guillaume Y., Duclos, Martine, and Thivel, David
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SEDENTARY behavior ,CHILD behavior ,PHYSICAL activity ,REPORT cards ,YOUTH movements ,CHILDREN with disabilities - Abstract
Background: Scientific evidence and public health reports keep highlighting the continuous and alarming worldwide progression of physical inactivity and sedentary behaviors in children and adolescents. The present paper summarizes findings from the 2022 French Report Card (RC) on physical activity for children and youth and compares them to the 2016, 2018, and 2020 RCs. Methods: The 2022 edition of the French RC follows the standardized methodology established by the Active Healthy Kids Global Matrix. Ten physical activity indicators have been evaluated and graded based on the best available evidence coming from national surveys, peer-reviewed literature, government and nongovernment reports, and online information. The evaluation was also performed in children and adolescents with disabilities. Indicators were graded from A (high level of evidence) to F (very low level of evidence) or INC for incomplete. Results: The evaluated indicators received the following grades: overall physical activity: D−; organized sport participation and physical activity: C; active play: F; active transportation: C; sedentary behaviors: D−; family and peers: D; physical fitness: C; school: C−; community and the built environment: F; government: B. Conclusions: While this 2022 French RC shows progression for 7 out of the 10 indicators considered, it also underlines the continuous need for actions at the local, regional, and national levels to develop better surveillance systems and favor a long-term improvement of youth movement behaviors. [ABSTRACT FROM AUTHOR]
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- 2023
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3. France's 2020 Report Card on Physical Activity and Sedentary Behaviors in Children and Youth: Results and Progression.
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Fillon, Alicia, Genin, Pauline, Larras, Benjamin, Vanhelst, Jeremy, Luiggi, Maxime, Aubert, Salome, Verdot, Charlotte, Rey, Olivier, Lhuisset, Lena, Bois, Julien, Fearnbach, Nicole, Duclos, Martine, and Thivel, David
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PHYSICAL activity ,BEHAVIORAL assessment of children ,BEHAVIORAL assessment of teenagers ,SPORTS participation ,SEDENTARY behavior in children ,PHYSICAL fitness ,BUILT environment - Abstract
Background: There is an alarming and constant worldwide progression of physical inactivity and sedentary behaviors in children and adolescents. The present paper summarizes findings from France's 2020 Report Card on physical activity for children and youth, comparing its results to its 2 previous editions (2016 and 2018). Methods: France's 2020 Report Card follows the standardized methodology established by the Active Healthy Kids Global Matrix, grading 10 common physical activity indicators using the best available evidence. The grades were informed by national surveys, peer-reviewed literature, government and nongovernment reports, and online information. Results: The expert panel awarded the following grades: Overall Physical Activity: D; Organized Sport Participation and Physical Activity: C−; Active Play: INC; Active Transportation: C−; Sedentary Behaviors: D−; Family and Peers: D−; Physical Fitness: D; School: B−; Community and the Built Environment: F; Government: C. Conclusions: This 2020 edition of France's Report Card again highlights the alarming levels of physical activity and sedentary behaviors among French children and adolescents, calling for the development of effective national action. It also draws attention to the particular deleterious effects of the COVID-19 confinement on youth's movement behaviors, which significantly worsened the situation. [ABSTRACT FROM AUTHOR]
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- 2021
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4. France's 2018 Report Card on Physical Activity for Children and Youth: Results and International Comparisons.
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Aubert, Salomé, Aucouturier, Julien, Vanhelst, Jeremy, Fillon, Alicia, Genin, Pauline, Ganière, Caroline, Praznoczy, Corinne, Larras, Benjamin, Schipman, Julien, Duclos, Martine, and Thivel, David
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PHYSICAL activity ,SEDENTARY behavior in children ,CHILDREN ,YOUTH ,LIFESTYLES - Abstract
Background: Insufficient levels of physical activity and increasing sedentary time among children and youth are being observed internationally. The purpose of this paper is to summarize findings from France's 2018 Report Card on physical activity for children and youth, and to make comparisons with its 2016 predecessor and with the Report Cards of other countries engaged in the Global Matrix 3.0. Methods: The France's 2018 Report Card was developed following the standardized methodology established for the Global Matrix 3.0 by grading 10 common physical activity indicators using best available data. Grades were informed by national surveys, peer-reviewed literature, government and nongovernment reports, and online information. Results: The expert panel awarded the following grades: overall physical activity, D; organized sport participation and physical activity, C--; active play, INC; active transportation, C--; sedentary behaviors, D--; physical fitness, B--; family and peers, INC; school, B; community and the built environment, INC; and government, C. Conclusions: Very concerning levels of physical activity and sedentary behaviors among French children and youth were observed, highlighting the urgent need for well-designed national actions addressing the presented physical inactivity crisis. The top 3 strategies that should be implemented in priority to improve the lifestyle of French children and youth are provided. [ABSTRACT FROM AUTHOR]
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- 2020
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5. Are Physical Activity and Sedentary Screen Time Levels Associated With Food Consumption in European Adolescents? The HELENA Study
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Moradell Fernández, Ana, Santaliestra-Pasías, Alba M., Aparicio-Ugarriza, Raquel, Huybrechts Inge, Bertalanné Szommer,Aliz, Forsner, Maria, González-Gross, Marcela, Kafatos, Androutsos, Anthony, Odysseas, Michels, Nathalie, Sjöström,Michael, Vanhelst, Jeremy, Widhalm, Kurt, Gutierrez, Angel, Moreno, Luis A., University of Zaragoza - Universidad de Zaragoza [Zaragoza], Instituto de Investigación Sanitaria de Aragón [Zaragoza] (IIS Aragón), Universidad Politécnica de Madrid (UPM), Universiteit Gent = Ghent University (UGENT), International Agency for Cancer Research (IACR), University of Pecs, Umeå University, Dalarna University, Instituto de Salud Carlos III [Madrid] (ISC), Universität Bonn = University of Bonn, University of Crete [Heraklion] (UOC), Harokopio University of Athens, University of Thessaly, Karolinska Institutet [Stockholm], 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), CHU Lille, Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 (CIC Lille), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Medizinische Universität Wien = Medical University of Vienna, Private Medical University of Salzburg, Universidad de Granada = University of Granada (UGR), Université de Lille, Inserm, Aragón Institute of Engineering Research [Zaragoza] [I3A], Centre International de Recherche contre le Cancer - International Agency for Research on Cancer [CIRC - IARC], Instituto de Salud Carlos III [Madrid] [ISC], Universiteit Gent = Ghent University [UGENT], Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286, Universidad de Granada = University of Granada [UGR], and Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Zaragoza [CIHEAM-IAMZ]
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[SCCO]Cognitive science ,food intake ,Physical activity ,sedentary behavior ,HELENA study ,adolescents ,diet - Abstract
Objective: One of the current main public health problems is the prevalence of obesity in children. Unhealthy lifestyle behaviors such as poor dietary habits, high sedentary screen time (SST), and low levels of physical activity (PA) have a strong tendency to track from childhood into adulthood. The aim of this manuscript is to assess the association between meeting or not meeting the PA and SST recommendations and the consumption of different food groups. Method: Data were obtained from a sample of European adolescents from the multicenter cross-sectional HELENA study. In all, 1448 adolescents from 8 cities were included. PA was objectively measured by accelerometry and dietary intake by 24-hour dietary records. Adolescents were grouped according to PA and SST recommendations. Results: In both sexes, intake of savory snacks was higher in those groups who did not meet any of the recommendations (p
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- 2022
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6. Is physical fitness associated with the type of attended school? A cross-sectional analysis among 20.000 adolescents
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Duclos, Martine, Lacomme, Philippe, Lambert, Celine, Pereira, Bruno, Ren, Libo, Fleury, Gerard, OVIGNEUR, Hervé, Deschamps, Thibault, Fearnbach, Nicole, Vanhelst, Jeremy, Toussaint, Jean-François, Thivel, David, CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand, Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), 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, Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes (LIMOS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Centre National de la Recherche Scientifique (CNRS), Institut des Rencontres de la Forme [Wattignies] (IRFO), Southern University and A&M College [Baton Rouge, Louisiana], Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre d'Investigation en Médecine du sport (CIMS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôtel-Dieu, Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques (AME2P), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-UFR Sciences et Techniques des Activités Physiques et Sportives - Clermont-Auvergne (UFR STAPS - UCA), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-SIGMA Clermont (SIGMA Clermont)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS), Université de Lille, LillOA, Université de Lille, Inserm, CHU Lille, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes [LIMOS], Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS], Institute for Translational Research in Inflammation - U 1286 [INFINITE (Ex-Liric)], Centre d'Investigation en Médecine du sport [CIMS], Laboratoire des Adaptations Métaboliques à l'Exercice en Conditions Physiologiques et Pathologiques [AME2P], and SIGMA Clermont (SIGMA Clermont)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)
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[SDV] Life Sciences [q-bio] ,Cardiorespiratory fitness ,Muscular fitness ,Adolescents ,Health ,Academic achievement ,Type of schools ,[SDV]Life Sciences [q-bio] ,education - Abstract
While academic achievement has been associated with physical activity, the present work questions the potential association between the physical fitness level of adolescents and the type of school they attend, ranging from academic to technical schools. 20,228 young French students from 76 schools (9,196 females), mean age 15.8±1.8 years, performed the Diagnoform© test. This dataset includes two higher education institutions (n=870), 37 general high schools (n=13,125), 18 professional-oriented high schools (n=3,569), 5 agricultural high schools (n=132), 2 vocational training centers (n=202) and 12 rural vocational training centers (n=1,137). In higher education institutions and general high schools, girls showed better performances for all physical tests. A decreasing Quotient of overall Physical fitness Condition (QPC) was observed for both genders from urban higher education schools to rural and technical institutions (p
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- 2022
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7. Are Physical Activity and Sedentary Screen Time Levels Associated With Food Consumption in European Adolescents? The HELENA Study.
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Moradell, Ana, Santaliestra-Pasías, Alba M., Aparicio-Ugarriza, Raquel, Huybrechts, Inge, Bertalanné Szommer, Aliz, Forsner, Maria, González-Gross, Marcela, Kafatos, Anthony, Androutsos, Odysseas, Michels, Nathalie, Sjöström, Michael, Vanhelst, Jeremy, Widhalm, Kurt, Gutierrez, Angel, and Moreno, Luis A.
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One of the current main public health problems is the prevalence of obesity in children. Unhealthy lifestyle behaviors such as poor dietary habits, high sedentary screen time (SST), and low levels of physical activity (PA) have a strong tendency to track from childhood into adulthood. The aim of this manuscript is to assess the association between meeting or not meeting the PA and SST recommendations and the consumption of different food groups. Data were obtained from a sample of European adolescents from the multicenter cross-sectional HELENA study. In all, 1448 adolescents from 8 cities were included. PA was objectively measured by accelerometry and dietary intake by 24-hour dietary records. Adolescents were grouped according to PA and SST recommendations. In both sexes, intake of savory snacks was higher in those groups who did not meet any of the recommendations (p < 0.05). For males, those who met both recommendations were more likely to drink/eat milk, yogurt, and water (p < 0.05). Those not meeting recommendations were more likely to drink sugar-sweetened beverages (p < 0.05). For females, those not meeting recommendations were less likely to eat fruits and vegetables and more likely to have a higher intake of fats and oils (p < 0.05). Those adolescents meeting PA and SST recommendations had a higher intake of healthy foods, like fruit and vegetables and dairy products. However, the negative relationship unhealthier food and SST is stronger in males independently of PA. More studies assessing the combined effect of both PA and SST regarding dietary habits in children and adolescents are needed. [ABSTRACT FROM AUTHOR]
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- 2023
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8. Variations in accelerometry measured physical activity and sedentary time across Europe - harmonized analyses of 47,497 children and adolescents
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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
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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.
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- 2020
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9. Relationship between school rhythm and physical activity in adolescents:the HELENA study
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Vanhelst, Jeremy, BEGHIN, Laurent, Duhamel, Alain, De Henauw, Stefaan, Molnar, Dénes, Vicente-Rodríguez, German, Manios, Yannis, Widhalm, Kurt, Kersting, Mathilde, Polito, Angela, Ruiz , Jonatan R, Moreno, Luis A, Gottrand, Frédéric, Inserm, Université de Lille, CHU Lille, Lille Inflammation Research International Center - U 995 [LIRIC], Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS], Lille Inflammation Research International Center - U 995 (LIRIC), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille, 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), and Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
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Male ,[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics ,Physical Education and Training ,Schools ,Time Factors ,School rhythm ,Adolescent ,Mesh:Actigraphy ,Mesh:Time Factors ,Mesh:Female ,Mesh:Humans ,Mesh:Male ,Mesh:Adolescent Behavior/physiology ,Mesh:Adolescent ,Mesh:Europe ,Mesh:Physical Education and Training ,Mesh:Exercise ,Mesh:Schools ,Mesh:Sedentary Lifestyle ,health ,school rhythm ,Physical activity ,adolescents ,education ,Physical Activity ,Adolescents ,Actigraphy ,Europe ,Health ,Adolescent Behavior ,[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] ,Humans ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Female ,Sedentary Behavior ,Exercise - Abstract
International audience; The aim was to assess the relationship between school rhythm and physical activity (PA) in adolescents. The study included 2024 adolescents (12.5–17.4 years). Participants wore an accelerometer for 7 days. A short school rhythm was defined as a short time at school with short recesses and less time in teaching per day (Group 1). A long school rhythm was defined as a longer time at school with more time in teaching and recess (Group 2). Adolescents in group 1 performed less moderate to vigorous PA (MVPA) than those in group 2 per week (P < .0001), especially during school days (recess: 3.9 ± 4.0 vs. 9.8 ± 7.9 min.day-1 ; P
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- 2017
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10. Muscle strength field-based tests to identify European adolescents at risk of metabolic syndrome: The HELENA study.
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Castro-Piñero, José, Laurson, Kelly R., Artero, Enrique G., Ortega, Francisco B, Labayen, Idoia, Ruperez, Azahara I., Zaqout, Mahmoud, Manios, Yannis, Vanhelst, Jeremy, Marcos, Ascension, Polito, Angela, Gonzalez-Gross, Marcela, Widhalm, Kurt, Moreno, Luis A, Gutierrez, Angel, and Ruiz, Jonatan R
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Objectives: To determine whether handgrip strength (HG) and/or standing long jump (SLJ) are capable of detecting risk of metabolic syndrome (MetS) in European adolescents, and to identify age- and sex-specific cut points for these tests.Design: Cross-sectional study.Methods: Participants included 969 (aged 12.5-17.5 years old) adolescents from 9 European countries (n = 520 girls). Absolute and relative HG and SLJ tests were used to assess upper and lower muscle strength, respectively. MetS status was determined using the age- and sex-specific cut points proposed by Jolliffe and Janssen´s, Additionally, we computed a continuous cardiometabolic risk index with the average z-score of four cardiometabolic risk factors: Wait circumference, mean arterial pressure, triglycerides/high-density lipoprotein cholesterol, and fasting insulin.Results: The prevalence of MetS was 3.1% in European adolescents. Relative HG and absolute SLJ were the best tests for detecting the presence of MetS (Area under the receiver operating characteristic (AUC) = 0.799, 95%CI:0.773-0.824; and AUC = 0.695 95%CI:0.665-0.724), respectively) and elevated cardiometabolic risk index (AUC = 0.873, 95%CI:0.838-0.902; and AUC = 0.728 95%CI:0.698-0.756), respectively) and, regardless of cardiorespiratory fitness. We provide age- and sex-specific cut points of upper and lower muscle strength for European adolescents to identify the presence of MetS and elevated cardiometabolic risk index.Conclusions: The proposed health-related cut points could be used as a starting point to define health-related levels of upper and lower muscle strength in adolescents. Likewise, the diagnostic statistics provided herein can be used to offer feedback to adolescents, parents, and education and health professionals about what it means to meet or fail test standards. [ABSTRACT FROM AUTHOR]- Published
- 2019
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11. Impact of the choice of threshold on physical activity patterns in free living conditions among adolescents measured using a uniaxial accelerometer: The HELENA study.
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Vanhelst, Jeremy, Béghin, Laurent, Salleron, Julia, Ruiz, Jonathan R., Ortega, Francesco B, Ottevaere, Charlene, Molnar, Denes, Kafatos, Anthony, Manios, Yannis, Widhalm, Kurt, Casajus, J.A., Mauro, Beatrice, SjÖStrÖM, Michael, and Gottrand, Frédéric
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COMPARATIVE studies , *LONGITUDINAL method , *PROBABILITY theory , *REFERENCE values , *RESEARCH funding , *STATISTICAL sampling , *STATISTICS , *DATA analysis , *ACCELEROMETRY , *PHYSICAL activity , *DATA analysis software , *DESCRIPTIVE statistics - Abstract
The aim of this study was to assess the impact of the choice of threshold on physical activity patterns measured in adolescents under free living conditions (FLC) using a uniaxial accelerometer. The study comprised 2043 adolescents (12.5–17.5 years) participating in the HELENA Study. Participants wore a uniaxial accelerometer for 7 days. The PA patterns were assessed using thresholds determined from six different studies. For each of the thresholds used, the number of adolescents fulfilling the recommendation of 60 min of moderate to vigorous PA (MVPA) per day was also calculated. A significant difference was found between thresholds regardless of the activity level: differences of 38%, 207%, 136%, and 2780% for sedentary, light, moderate, and vigorous intensity PA, respectively (P< 0.001). Time of MVPA varied between methods from 25.3 to 55.2 min · day–1. The number of adolescents fulfilling the recommendation varied from 5.9% to 37% according to the thresholds used. The kappa coefficient for concordance in the assessment of the number of adolescents achieving the PA recommendations was generally low. The definition of the threshold for PA intensity may considerably affect the PA patterns in FLC when assessed using a uniaxial accelerometer and the number of participants fulfilling the recommendations. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
12. Clustering of Multiple Lifestyle Behaviors and Health-related Fitness in European Adolescents.
- Author
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Cuenca-GarcÃa, Magdalena, Huybrechts, Inge, Ruiz, Jonatan R., Ortega, Francisco B., Ottevaere, Charlene, González-Gross, Marcela, Moreno, Luis A., Vicente-RodrÃguez, Germán, Molnár, Denés, Polito, Angela, Manios, Yannis, Plada, Maria, Vanhelst, Jeremy, Widhalm, Kurt, Sjöström, Michael, Kersting, Mathilde, and Castillo, Manuel J.
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GRIP strength , *MOTOR ability , *BODY composition , *ACADEMIC achievement , *AGE distribution , *ANALYSIS of variance , *CHILDREN'S health , *CHILD nutrition , *CLUSTER analysis (Statistics) , *COMPARATIVE studies , *COMPUTERS , *STATISTICAL correlation , *EXERCISE tests , *HEALTH behavior in adolescence , *JUMPING , *MEDICAL cooperation , *MUSCLE strength , *NUTRITIONAL assessment , *PHYSICAL fitness , *QUESTIONNAIRES , *RESEARCH , *RESEARCH funding , *RUNNING , *SELF-evaluation , *SEX distribution , *SKINFOLD thickness , *STATISTICS , *ADOLESCENT health , *TELEVISION , *ADOLESCENT nutrition , *DATA analysis , *EFFECT sizes (Statistics) , *LIFESTYLES , *INTER-observer reliability , *OXYGEN consumption , *CROSS-sectional method , *PHYSICAL activity , *DATA analysis software , *WAIST circumference , *DESCRIPTIVE statistics ,RESEARCH evaluation - Abstract
Objective: To explore the clustering of different lifestyle behaviors and whether this clustering differs by gender, age, and health-related fitness. Design: Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study. Setting: Ten European cities. Participants: A total of 2,084 adolescents (12.5-17.5 years). Main Outcome Measures: Four lifestyle behaviors were assessed by self-administered questionnaires: moderate to vigorous physical activity, homework time, screen time, and diet. Health-related fitness components (aerobic capacity, strength, speed-agility, and body composition) were assessed. Analysis: Hierarchical method and K-means cluster analysis. Analysis of variance tests. Results: Five clusters were identified: Healthy diet and Active, Healthy diet and Academic, Healthy diet and Inactive, Unhealthy diet and Screen user, and Unhealthy diet and Active. Younger adolescents were more active and followed a healthier diet than older adolescents. Older boys devoted more time to screen use, whereas older girls devoted more time to homework. Boys in the Healthy diet and Active cluster presented higher aerobic capacity and specd-agility, whereas girls presented higher aerobic capacity, strength, and speed-agility. Conclusions and Implications: Clustering of different lifestyle behaviors is observed. Different healthy lifestyles do not always come together and clusters are associated with gender, age, and health-related fitness, but not with body composition. These differences need to be considered when developing intervention strategies for the prevention of unhealthy habits. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
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