Correlates of dual trajectories of physical activity and sedentary time in youth: The UP & DOWN longitudinal study

被引:4
|
作者
Parker, Kate [1 ]
Timperio, Anna [1 ]
Salmon, Jo [1 ]
Villanueva, Karen [2 ]
Brown, Helen [1 ]
Esteban-Cornejo, Irene [3 ]
Cabanas-Sanchez, Veronica [4 ]
Castro-Pinero, Jose [5 ,6 ]
Sanchez-Oliva, David [5 ,7 ]
Veiga, Oscar L. [4 ]
机构
[1] Deakin Univ, Sch Exercise & Nutr Sci, Inst Phys Act & Nutr IPAN, Geelong, Vic, Australia
[2] RMIT Univ, Ctr Urban Res, Sch Global Urban & Social Studies, Melbourne, Vic, Australia
[3] Univ Granada, Sport & Hlth Univ Res Inst iMUDS, Fac Sport Sci, Dept Phys & Sports Educ,PROFITH PROmoting FITness, Granada, Spain
[4] IMDEA Food Inst, Cardiovasc & Nutr Epidemiol, Madrid, Spain
[5] Univ Cadiz, Fac Educ Sci, Dept Phys Educ, GALENO Res Grp, Puerto Real, Spain
[6] Biomed Res & Innovat Inst Cadiz INiBICA Res Unit, Cadiz, Spain
[7] Univ Extremadura, Fac Sports Sci, Badajoz, Spain
基金
澳大利亚国家健康与医学研究理事会;
关键词
clustering; correlates; physical activity; sedentary; trajectories; youth; BEHAVIOR TYPOLOGIES; 3; GENERATIONS; CHILDREN; ADOLESCENTS;
D O I
10.1111/sms.13927
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Trajectories of physical activity and sedentary time (SED) may differ between subgroups of youth. The aim of this study was to identify group-based dual trajectories of physical activity and SED and explore individual, social, and environmental correlates of these trajectories. Longitudinal data (three time points, baseline 2011-2012) of Spanish youth (n = 1597, mean age = 11.94 +/- 2.52, 50.9% boys) were used. Moderate-to-vigorous physical activity (MVPA) and SED were assessed objectively at each time point, and 21 potential correlates were self-reported at baseline. Parallel process growth mixture models identified shared categorical latent groups, adjusting for school and age. Multinomial logistic regression models identified baseline correlates of a given trajectory. Four shared categorical latent groups were identified: (1) stable MVPA and decreasing SED (4%); (2) stable MVPA and increasing SED (3%); (3) consistently higher MVPA (18%); and (4) stable low MVPA and slight increase in SED (75%). Multinomial logistic regression models with group 3 as reference found: negative affect (RRR = 0.90, 95% CI 0.84-0.97), parental screen-time rules (RRR = 1.15, 95% CI 1.00-1.33), and household media equipment (RRR = 1.17, 95% CI 1.05-1.30) predicted likelihood of group 1 membership; cons of reducing SED (RRR = 2.70, 95% CI 1.77-4.10) predicted likelihood of group 2 membership; and co-participation in physical activity with friends (RRR = 0.80, 95% CI 0.69-0.94), fathers' modeling of TV viewing (RRR = 1.22, 95% CI 1.02-1.47), and household media equipment (RRR = 1.16, 95% CI 1.02-1.31) predicted likelihood of group 4 membership. Results suggest that strategies to improve MVPA and SED behaviors among youth may need to be multifaceted, targeting all levels of influence.
引用
收藏
页码:1126 / 1134
页数:9
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