Early Start, School of Health and Society, Faculty of the Arts, Social Science and Humanities, University of Wollongong, NSW, AUSTRALIA.
Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland, UNITED KINGDOM.
Med Sci Sports Exerc. 2022 Jul 1;54(7):1123-1130. doi: 10.1249/MSS.0000000000002886. Epub 2022 Feb 10.
PURPOSE: There is a paucity of global data on sedentary behavior during early childhood. The purpose of this study was to examine how device-measured sedentary behavior in young children differed across geographically, economically, and sociodemographically diverse populations, in an international sample. METHODS: This multinational, cross-sectional study included data from 1071 children 3-5 yr old from 19 countries, collected between 2018 and 2020 (pre-COVID). Sedentary behavior was measured for three consecutive days using activPAL accelerometers. Sedentary time, sedentary fragmentation, and seated transport duration were calculated. Linear mixed models were used to examine the differences in sedentary behavior variables between sex, country-level income groups, urban/rural settings, and population density. RESULTS: Children spent 56% (7.4 h) of their waking time sedentary. The longest average bout duration was 81.1 ± 45.4 min, and an average of 61.1 ± 50.1 min·d-1 was spent in seated transport. Children from upper-middle-income and high-income countries spent a greater proportion of the day sedentary, accrued more sedentary bouts, had shorter breaks between sedentary bouts, and spent significantly more time in seated transport, compared with children from low-income and lower-middle-income countries. Sex and urban/rural residential setting were not associated with any outcomes. Higher population density was associated with several higher sedentary behavior measures. CONCLUSIONS: These data advance our understanding of young children's sedentary behavior patterns globally. Country income levels and population density appear to be stronger drivers of the observed differences, than sex or rural/urban residential setting.
目的:目前全球关于儿童早期久坐行为的数据较少。本研究旨在通过国际样本,考察在地理位置、经济和社会人口统计学方面存在差异的人群中,儿童的设备测量久坐行为有何不同。
方法:本项多国家、横断面研究纳入了来自 19 个国家的 1071 名 3-5 岁儿童的数据,数据收集于 2018 年至 2020 年(新冠疫情前)。使用 activPAL 加速度计连续测量三天的久坐行为。计算久坐时间、久坐碎片化和坐姿交通时间。采用线性混合模型,检验性别、国家收入组别、城乡环境和人口密度对久坐行为变量的差异。
结果:儿童清醒时间的 56%(7.4 小时)用于久坐。最长平均持续时间为 81.1 ± 45.4 分钟,平均每天有 61.1 ± 50.1 分钟用于坐姿交通。来自中高收入和高收入国家的儿童每天久坐时间更长、积累更多的久坐时间、每次久坐之间的休息时间更短、坐姿交通时间更长,而来自低收入和中下等收入国家的儿童则相反。性别和城乡居住环境与任何结果均无关。较高的人口密度与几个较高的久坐行为指标相关。
结论:这些数据增进了我们对全球幼儿久坐行为模式的理解。国家收入水平和人口密度似乎是造成观察到的差异的更重要驱动因素,而不是性别或城乡居住环境。
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