Taylor Sarah L, Curry Whitney B, Knowles Zoe R, Noonan Robert J, McGrane Bronagh, Fairclough Stuart J
Physical Activity and Health Research Group, Department of Sport and Physical Activity, Edge Hill University, St. Helens Road, Ormskirk, Lancs L39 4QP, UK.
Physical Activity Exchange, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 2AT, UK.
Int J Environ Res Public Health. 2017 May 16;14(5):534. doi: 10.3390/ijerph14050534.
Schools have been identified as important settings for health promotion through physical activity participation, particularly as children are insufficiently active for health. The aim of this study was to investigate the child and school-level influences on children's physical activity levels and sedentary time during school hours in a sample of children from a low-income community; Methods: One hundred and eighty-six children (110 boys) aged 9-10 years wore accelerometers for 7 days, with 169 meeting the inclusion criteria of 16 h∙day for a minimum of three week days. Multilevel prediction models were constructed to identify significant predictors of sedentary time, light, and moderate to vigorous physical activity during school hour segments. Child-level predictors (sex, weight status, maturity offset, cardiorespiratory fitness, physical activity self-efficacy, physical activity enjoyment) and school-level predictors (number on roll, playground area, provision score) were entered into the models; Results: Maturity offset, fitness, weight status, waist circumference-to-height ratio, sedentary time, moderate to vigorous physical activity, number of children on roll and playground area significantly predicted physical activity and sedentary time; Conclusions: Research should move towards considering context-specific physical activity and its correlates to better inform intervention strategies.
学校已被确定为通过参与体育活动促进健康的重要场所,尤其是鉴于儿童的运动量不足以维持健康。本研究的目的是调查低收入社区儿童样本中,儿童个体和学校层面因素对儿童在校期间身体活动水平和久坐时间的影响;方法:186名9至10岁儿童(110名男孩)佩戴加速度计7天,其中169名符合纳入标准,即至少在三个工作日每天佩戴16小时。构建多水平预测模型,以确定在校时间段内久坐时间、轻度、中度至剧烈身体活动的显著预测因素。将儿童层面的预测因素(性别、体重状况、成熟度偏移、心肺适能、身体活动自我效能感、身体活动乐趣)和学校层面的预测因素(注册人数、操场面积、设施得分)纳入模型;结果:成熟度偏移、适能、体重状况、腰围身高比、久坐时间、中度至剧烈身体活动、注册儿童人数和操场面积显著预测了身体活动和久坐时间;结论:研究应朝着考虑特定环境下的身体活动及其相关因素的方向发展,以便更好地为干预策略提供信息。