Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Tom Reilly Building, Liverpool, UK.
BMC Public Health. 2012 Jun 6;12:406. doi: 10.1186/1471-2458-12-406.
Variability exists in children's activity patterns due to the association with environmental, social, demographic, and inter-individual factors. This study described accelerometer assessed physical activity patterns of high and low active children during segmented school week days whilst controlling for potential correlates.
Two hundred and twenty-three children (mean age: 10.7 ± 0.3 yrs, 55.6% girls, 18.9% overweight/obese) from 8 north-west England primary schools wore ActiGraph GT1M accelerometers for 7 consecutive days during autumn of 2009. ActiGraph counts were converted to minutes of moderate (MPA), vigorous (VPA) and moderate-to-vigorous (MVPA) physical activity. Children were classified as high active (HIGH) or low active (LOW) depending on the percentage of week days they accumulated at least 60 minutes of MVPA. Minutes spent in MPA and VPA were calculated for school time and non-school time and for five discrete school day segments (before-school, class time, recess, lunchtime, and after-school). Data were analysed using multi-level modelling.
The HIGH group spent significantly longer in MPA and/or VPA before-school, during class time, lunchtime, and after-school (P < .05), independent of child and school level factors. The greatest differences occurred after-school (MPA = 5.5 minutes, VPA = 3.8 minutes, P < 0.001). MPA and VPA were also associated with gender, BMI z-score, number of enrolled children, playground area per student, and temperature, depending on the segment analysed.The additive effect of the segment differences was that the HIGH group accumulated 12.5 minutes per day more MVPA than the LOW group.
HIGH active children achieved significantly more MPA and VPA than LOW active during four of the five segments of the school day when analyses were adjusted for potential correlates. Physical activity promotion strategies targeting low active children during discretionary physical activity segments of the day, and particularly via structured afterschool physical activity programs may be beneficial.
由于与环境、社会、人口统计学和个体间因素有关,儿童的活动模式存在差异。本研究描述了在控制潜在相关因素的情况下,高活跃和低活跃儿童在分段上学日的加速计评估的体力活动模式。
2009 年秋季,来自英格兰西北部 8 所小学的 223 名儿童(平均年龄:10.7±0.3 岁,55.6%女孩,18.9%超重/肥胖)连续 7 天佩戴 ActiGraph GT1M 加速度计。ActiGraph 计数转换为中等强度(MPA)、剧烈(VPA)和中高强度(MVPA)体力活动的分钟数。根据他们在一周工作日中积累至少 60 分钟 MVPA 的百分比,将儿童分为高活跃(HIGH)或低活跃(LOW)。计算了在上学时间和非上学时间以及五个离散上学日段(上学前、上课时间、课间休息、午餐时间和放学后)中进行的 MPA 和 VPA 分钟数。使用多层次模型进行数据分析。
HIGH 组在上学前、上课时、午餐时间和放学后的 MPA 和/或 VPA 时间明显更长(P<.05),独立于儿童和学校水平因素。最大的差异发生在放学后(MPA=5.5 分钟,VPA=3.8 分钟,P<.001)。MPA 和 VPA 也与性别、BMI z 分数、注册儿童人数、每名学生的操场面积和温度有关,具体取决于分析的部分。根据部分差异的附加效应,HIGH 组比 LOW 组每天多积累 12.5 分钟 MVPA。
在调整潜在相关因素后,HIGH 活跃的儿童在上学日的五个部分中的四个部分中比 LOW 活跃的儿童进行了更多的 MPA 和 VPA。针对低活跃儿童在白天自由活动时段,特别是通过有组织的课后体育活动计划,实施促进身体活动的策略可能是有益的。