Garcia Ashdown-Franks1, Catherine M Sabiston2, Davy Vancampfort3, Lee Smith4, Joseph Firth5, Marco Solmi6, Nicola Veronese7, Brendon Stubbs8, Ai Koyanagi9. 1. Department of Exercise Sciences, University of Toronto, 55 Harbord Street, Toronto, Ontario, M5S 2W6, Canada; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AB, United Kingdom. Electronic address: Garcia.ashdown.franks@utoronto.ca. 2. Department of Exercise Sciences, University of Toronto, 55 Harbord Street, Toronto, Ontario, M5S 2W6, Canada. Electronic address: Catherine.sabiston@utoronto.ca. 3. KU Leuven, Department of Rehabilitation Sciences, Leuven, 3000, Belgium; KU Leuven, University Psychiatric Center KU Leuven, Kortenberg, 3000, Belgium. Electronic address: davy.vancampfort@kuleuven.be. 4. The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, CB1 1PT, United Kingdom. Electronic address: lee.smith@anglia.ac.uk. 5. NICM Health Research Institute, Western Sydney University, Sydney, NSW, 2751, Australia; Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, M13 9PL, United Kingdom. Electronic address: j.Firth@westernsydney.edu.au. 6. Department of Neurosciences, University of Padova, 35122, Italy. Electronic address: marco.solmi83@gmail.com. 7. National Research Council, Neuroscience Institute, Aging Branch, Padua, 35122, Italy. Electronic address: ilmannato@gmail.com. 8. Department of Exercise Sciences, University of Toronto, 55 Harbord Street, Toronto, Ontario, M5S 2W6, Canada; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AB, United Kingdom; Physiotherapy Department, South London and Maudsley National Health Services Foundation Trust, SE5 8AB, United Kingdom. Electronic address: brendon.stubbs@kcl.ac.uk. 9. Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, Barcelona, 08830, Spain; ICREA, Pg. Lluis Companys 23, Barcelona, 08010, Spain. Electronic address: a.koyanagi@pssjd.org.
Abstract
BACKGROUND: Cannabis legalization and use are increasing globally, however, little is known about associations between cannabis use and other health behaviors, such as physical activity (PA). Importantly, the extent to which cannabis use is associated with PA in adolescents is yet to be explored in low- and middle-income countries (LMICs), where there may be unique sociodemographic and environmental characteristics compared with high-income countries. Therefore, this study examined the association between PA and cannabis use among adolescents in 21 LMICs using data from the 2010-2016 Global School-based Student Health Survey. METHODS: A multivariable logistic regression analysis was performed among a final sample of 89,777 adolescents (49.2% females) aged 12-15 years with a mean (SD) age of 13.7 (0.9) years. RESULTS: The overall prevalence of past (i.e., in lifetime but not in past 30 days) and current (in past 30 days) cannabis use were 1.0% and 2.9% respectively, while the prevalence of adequate PA in the past week (7 days/week of 60 min of PA) was 16.6%. The prevalence of adequate levels of PA in past and current cannabis use was 7.3% and 6.9%, respectively. Current and past cannabis use (vs. never) were associated with a significant 0.62 (95% CI = 0.41-0.94) and 0.43 (95%CI = 0.30-0.63) times lower odds for achieving adequate levels of PA, respectively. CONCLUSION: The results underscore the high prevalence of low PA among adolescents in LMICs, and emphasize the need to understand behavioral factors that may affect PA levels, such as cannabis use, when designing interventions to improve health.
BACKGROUND: Cannabis legalization and use are increasing globally, however, little is known about associations between cannabis use and other health behaviors, such as physical activity (PA). Importantly, the extent to which cannabis use is associated with PA in adolescents is yet to be explored in low- and middle-income countries (LMICs), where there may be unique sociodemographic and environmental characteristics compared with high-income countries. Therefore, this study examined the association between PA and cannabis use among adolescents in 21 LMICs using data from the 2010-2016 Global School-based Student Health Survey. METHODS: A multivariable logistic regression analysis was performed among a final sample of 89,777 adolescents (49.2% females) aged 12-15 years with a mean (SD) age of 13.7 (0.9) years. RESULTS: The overall prevalence of past (i.e., in lifetime but not in past 30 days) and current (in past 30 days) cannabis use were 1.0% and 2.9% respectively, while the prevalence of adequate PA in the past week (7 days/week of 60 min of PA) was 16.6%. The prevalence of adequate levels of PA in past and current cannabis use was 7.3% and 6.9%, respectively. Current and past cannabis use (vs. never) were associated with a significant 0.62 (95% CI = 0.41-0.94) and 0.43 (95%CI = 0.30-0.63) times lower odds for achieving adequate levels of PA, respectively. CONCLUSION: The results underscore the high prevalence of low PA among adolescents in LMICs, and emphasize the need to understand behavioral factors that may affect PA levels, such as cannabis use, when designing interventions to improve health.
Authors: Cristina Liébana-Presa; María Cristina Martínez-Fernández; José Alberto Benítez-Andrades; Elena Fernández-Martínez; Pilar Marqués-Sánchez; Isaías García-Rodríguez Journal: Front Psychol Date: 2020-12-11
Authors: Sarah C Leeper; Mehul D Patel; Sa'ad Lahri; Alexander Beja-Glasser; Priscilla Reddy; Ian B K Martin; Daniël J van Hoving; Justin G Myers Journal: Afr J Emerg Med Date: 2021-09-06