Longitudinal patterns of physical activity, sedentary behavior and sleep in urban South African adolescents, Birth-To-Twenty Plus cohort

被引:18
作者
Hanson, Sara K. [1 ,2 ]
Munthali, Richard J. [2 ]
Micklesfield, Lisa K. [2 ]
Lobelo, Felipe [3 ]
Cunningham, Solveig A. [3 ]
Hartman, Terryl J. [3 ,4 ]
Norris, Shane A. [2 ,3 ]
Stein, Aryeh D. [3 ,4 ]
机构
[1] Emory Univ, Doctoral Program Nutr & Hlth Sci, Laney Grad Sch, Atlanta, GA 30322 USA
[2] Univ Witwatersrand, Fac Hlth Sci, Dev Pathways Hlth Res Unit, Med Res Council South Africa, Johannesburg, South Africa
[3] Emory Univ, Hubert Dept Global Hlth, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
[4] Emory Univ, Dept Epidemiol, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
基金
英国惠康基金; 新加坡国家研究基金会; 英国医学研究理事会; 美国国家卫生研究院;
关键词
Adolescence; Low or middle income country; Physical activity; Sedentary behavior; Sleep; YOUNG-PEOPLE; HEALTH; CHILDREN; DURATION; DISEASE; YOUTH; BIRTH; DETERMINANTS; ASSOCIATIONS; GUIDELINES;
D O I
10.1186/s12887-019-1619-z
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background: Adolescence is a critical phase of human development that lays the foundation for health in later life. Of the 1.8 billion adolescents in the world, roughly 90% live in low and middle-income countries. Yet most longitudinal studies of adolescent physical activity, sedentary behavior, and sleep come from high-income countries. There is a need for a better understanding of these behaviors to inform obesity and chronic disease prevention strategies. Aims: The aim of this study is to identify longitudinal patterns and associations between physical activity, sedentary behavior and sleep in urban South African adolescents. Methods: We analyzed data from the Birth-to-Twenty Plus Cohort (Bt20+), a longitudinal study of children in Soweto, Johannesburg, South Africa. Behaviors were self-reported annually between ages 12 and 17 y. We used Latent Class Growth Analysis to group participants into classes based on common longitudinal trajectories of time spent in informal physical activity, organized sports, walking to and from school, sedentary behavior, and school-night and weekend sleep, respectively. We performed group-based multi-trajectory modeling to identify latent clusters of individuals who followed similar trajectories of informal physical activity, organized sports and walking to and from school, and who followed similar trajectories of these three domains together with sedentary behavior and sleep. Results: The large majority of males (82%) and all females failed to meet the World Health Organization (WHO) physical activity recommendation for adolescents of 60 min of moderate-vigorous intensity physical activity per day. The physical activity domains clustered together in three multi-trajectory groups that define individuals' overall physical activity pattern. While two patterns indicated decreases in physical activity throughout adolescence, one pattern, including 29% of the sample in males and 17% of the sample in females, indicated higher levels of activity throughout adolescence. Sedentary behavior and sleep trajectories did not cluster together with the physical activity domains. Conclusion: Most adolescents in this South African population did not meet WHO recommendations for physical activity. In this population, trajectories of sedentary behavior and sleep were independent of physical activity.
引用
收藏
页数:14
相关论文
共 65 条
[1]  
[Anonymous], 2017, WHO recomendations on adolescent health: Guidelines approved by the WHO guidelines review committee
[2]  
[Anonymous], 2014, AUSTR PHYS ACTIVITY
[3]  
[Anonymous], 2011, AUSTR HLTH SURVEY PH
[4]   Longitudinal associations between sports participation, body composition and physical activity from childhood to adolescence [J].
Basterfield, Laura ;
Reilly, Jessica K. ;
Pearce, Mark S. ;
Parkinson, Kathryn N. ;
Adamson, Ashley J. ;
Reilly, John J. ;
Vella, Stewart A. .
JOURNAL OF SCIENCE AND MEDICINE IN SPORT, 2015, 18 (02) :178-182
[5]   Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthen (2003), and Cudeck and Henly (2003) [J].
Bauer, DJ ;
Curran, PJ .
PSYCHOLOGICAL METHODS, 2003, 8 (03) :384-393
[6]   Correlates of physical activity: why are some people physically active and others not? [J].
Bauman, Adrian E. ;
Reis, Rodrigo S. ;
Sallis, James F. ;
Wells, Jonathan C. ;
Loos, Ruth J. F. ;
Martin, Brian W. .
LANCET, 2012, 380 (9838) :258-271
[7]   Toward a better understanding of the influences on physical activity - The role of determinants, correlates, causal variables, mediators, moderators, and confounders [J].
Bauman, AE ;
Sallis, JF ;
Dzewaltowski, DA ;
Owen, N .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2002, 23 (02) :5-14
[8]   Tracking of sedentary behaviours of young people: A systematic review [J].
Biddle, Stuart J. H. ;
Pearson, Natalie ;
Ross, Gemma M. ;
Braithwaite, Rock .
PREVENTIVE MEDICINE, 2010, 51 (05) :345-351
[9]   A Youth Compendium of Physical Activities: Activity Codes and Metabolic Intensities [J].
Butte, Nancy F. ;
Watson, Kathleen B. ;
Ridley, Kate ;
Zakeri, Issa F. ;
Mcmurray, Robert G. ;
Pfeiffer, Karin A. ;
Crouter, Scott E. ;
Herrmann, Stephen D. ;
Bassett, David R. ;
Long, Alexander ;
Berhane, Zekarias ;
Trost, Stewart G. ;
Ainsworth, Barbara E. ;
Berrigan, David ;
Fulton, Janet E. .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2018, 50 (02) :246-256
[10]   Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses [J].
Carson, Valerie ;
Tremblay, Mark S. ;
Chaput, Jean-Philippe ;
Chastin, Sebastien F. M. .
APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 2016, 41 (06) :S294-S302