Garcia Ashdown-Franks1,2, Davy Vancampfort3,4, Joseph Firth5,6,7, Nicola Veronese8, Sarah E Jackson9, Lee Smith10, Brendon Stubbs1,11, Ai Koyanagi12,13. 1. Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. 2. Department of Exercise Sciences, University of Toronto, Toronto, Ontario, Canada. 3. Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium. 4. University Psychiatric Center, KU Leuven, Kortenberg, Belgium. 5. NICM Health Research Institute, School of Science and Health, Western Sydney University, Sydney, New South Wales, Australia. 6. Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. 7. Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia. 8. Aging Branch Neuroscience Institute, National Research Council, Padova, Italy. 9. Department of Behavioural Science and Health, University College London, London, UK. 10. Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK. 11. Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK. 12. Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr Antoni Pujadas, Sant Boi de Llobregat, Barcelona, Spain. 13. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.
Abstract
OBJECTIVE: Rates of adolescent obesity are increasing worldwide, with steeper increases being observed in low- and middle-income countries (LMICs). Sedentary behavior (SB) has been associated with various physical and mental health conditions. Little is known about the association between SB and obesity among adolescents in LMICs. This cross-sectional study explored the associations between SB and obesity in adolescents from 41 LMICs. METHODS: Obesity was measured using BMI; SB was assessed through self-report and was considered for all times except when subjects were at school or doing homework. RESULTS: Data from the Global School-based Student Health Survey were analyzed in 116,762 adolescents (mean [SD] age 13.8 [1.0] years; 48.6% female). The overall prevalence of obesity was 4%, and the prevalence of ≥ 3 h/d of SB was 26%. The prevalence of obesity and SB were lowest in low-income countries and highest in upper-middle-income countries. SB for ≥ 3 h/d was associated with higher odds of obesity in 32 countries. This relationship was strongest among low-income countries. CONCLUSIONS: Being sedentary for ≥ 3 h/d is associated with increased odds of obesity in adolescence. Future longitudinal data are required to confirm these findings and to inform interventions targeting SB among adolescents in LMICs, thereby reducing the prevalence of obesity.
OBJECTIVE: Rates of adolescent obesity are increasing worldwide, with steeper increases being observed in low- and middle-income countries (LMICs). Sedentary behavior (SB) has been associated with various physical and mental health conditions. Little is known about the association between SB and obesity among adolescents in LMICs. This cross-sectional study explored the associations between SB and obesity in adolescents from 41 LMICs. METHODS:Obesity was measured using BMI; SB was assessed through self-report and was considered for all times except when subjects were at school or doing homework. RESULTS: Data from the Global School-based Student Health Survey were analyzed in 116,762 adolescents (mean [SD] age 13.8 [1.0] years; 48.6% female). The overall prevalence of obesity was 4%, and the prevalence of ≥ 3 h/d of SB was 26%. The prevalence of obesity and SB were lowest in low-income countries and highest in upper-middle-income countries. SB for ≥ 3 h/d was associated with higher odds of obesity in 32 countries. This relationship was strongest among low-income countries. CONCLUSIONS: Being sedentary for ≥ 3 h/d is associated with increased odds of obesity in adolescence. Future longitudinal data are required to confirm these findings and to inform interventions targeting SB among adolescents in LMICs, thereby reducing the prevalence of obesity.
Authors: Davy Vancampfort; Tine Van Damme; Joseph Firth; Mats Hallgren; Lee Smith; Brendon Stubbs; Simon Rosenbaum; Ai Koyanagi Journal: PLoS One Date: 2019-11-14 Impact factor: 3.240
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