Children's activity-transportation lifestyles, physical activity levels and social-ecological correlates in Toronto, Canada

被引:10
|
作者
Mitra, Raktim [1 ]
Cantello, Ian D. [1 ]
Buliung, Ron N. [2 ]
Faulkner, Guy E. J. [3 ]
机构
[1] Ryerson Univ, Sch Urban & Reg Planning, 350 Victoria St, Toronto, ON M5B 2K3, Canada
[2] Univ Toronto, Dept Geog, 3359 Mississauga Rd N,South Bldg, Mississauga, ON L5L 1C6, Canada
[3] Univ British Columbia, Fac Educ, Sch Kinesiol, DH Copp Bldg 4606,2146 Hlth Sci Mall, Vancouver, BC V6T 1Z3, Canada
基金
加拿大健康研究院;
关键词
Activity-transportation lifestyle; Children; Physical activity; Physical activity compensation; Cluster analysis; Accelerometry; SEDENTARY BEHAVIOR; MODE CHOICE; SCHOOL; PATTERNS; YOUTH; ASSOCIATIONS; ENVIRONMENT; MOBILITY; FITNESS; ONTARIO;
D O I
10.1016/j.jth.2017.03.010
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Recent years have seen the emergence of a literature focused on physical activity outcomes among children, in relation to their transportation and bodily movement. As this literature grows, the importance of an integrated approach to understand a child's movement/mobility behaviour is beginning to be recognized in policy and practice. Few studies examine patterns in children's daily activities and transportation together. In particular, an important research gap exists at the intersection of activity-transportation lifestyles and objective measures of physical activity. Using data gathered from 700 students attending grades 5 and 6, in 16 public elementary schools in Toronto, Canada, this research identifies patterns in activity-transportation participation among children, and their associations with various measures of physical activity. A two-step cluster analysis identified four distinct activity-transportation lifestyles, namely-Artists, Readers, Homebound and Athletes. Athletes accumulated the most daily physical activity. In contrast, the homebound group had the highest screen time. Further analysis using logistic regression models identified that lifestyle group membership can be explained by gender, ethno-cultural diversity, neighbourhood-level income and residential location (i.e., inner-urban versus suburban). Findings from this study may inform future programming and interventions to address emerging guidelines focused on children's 24-hour movement.
引用
收藏
页码:289 / 298
页数:10
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