Associations between children's active travel and levels of physical activity and sedentary behavior

被引:19
|
作者
Schoeppe, Stephanie [1 ]
Duncan, Mitch J. [2 ]
Badland, Hannah M. [3 ]
Oliver, Melody [4 ]
Browne, Matthew [5 ]
机构
[1] Cent Queensland Univ, Sch Human Hlth & Social Sci, Phys Activ Res Grp, Rockhampton, Qld 4702, Australia
[2] Univ Newcastle, Sch Med & Publ Hlth, Prior Res Ctr Phys Act & Nutr, Newcastle, NSW 2300, Australia
[3] Univ Melbourne, McCaughey VicHealth Community Wellbeing Unit, Melbourne, Vic 3010, Australia
[4] Auckland Univ Technol, Human Potential Ctr, Auckland, New Zealand
[5] Cent Queensland Univ, Sch Human Hlth & Social Sci, Bundaberg, Qld, Australia
基金
澳大利亚研究理事会; 澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
Relationship; Accelerometer; Active transport; Movement; Sedentariness; Young people; INDEPENDENT MOBILITY; DESCRIPTIVE EPIDEMIOLOGY; SCHOOL-CHILDREN; ADOLESCENTS; TIME; IMPUTATION; NEIGHBORHOOD; DESTINATIONS; CHILDHOOD; TRANSPORT;
D O I
10.1016/j.jth.2015.05.001
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives: To investigate associations of children's active travel (i.e. walking, cycling) to school and non-school destinations with time spent in sedentary behavior and physical activity at different intensities, and associations stratified by sex. Methods: Between 2011 and 2012, 375 Australian school children aged 8-13 years (61% female) were recruited into a cross-sectional study. Children's travel modes to school and non-school destinations, and socio-demographic information were assessed through child and parent surveys. Daily time spent in sedentary behavior and physical activity intensities was measured objectively through accelerometer counts from an Actiheart monitor worn on four consecutive days. Associations of active travel with sedentary behavior and physical activity variables were determined using linear mixed models while accounting for clustered sampling and covariates (age, sex, socio-economic factors, Actiheart wear time). Multiple imputation (MissForest method) was used to handle missing at random survey and accelerometer data in 104 (28%) children. Results: Active travel modes to non-school destinations were positively associated with children's moderate-to-vigorous physical activity (b=0.18, p=0.01) but not with their sedentary behavior, light or total physical activity. Active travel modes to school were not associated with children's sedentary behavior or physical activity across intensities. No statistically significant differences by sex were detected in the observed associations. However, the positive association between active travel modes to non-school destinations and moderate-to-vigorous physical activity neared statistical significance in boys (b=0.15, p=0.07) but not in girls. Conclusions: Active travel was positively associated with children's physical activity but not their sedentary behavior levels. Active travel to non-school destinations may have more potential to increase children's moderate-to-vigorous physical activity levels, than active travel to school. (C) 015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:336 / 342
页数:7
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