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The Influence of Epoch Length on Physical Activity Patterns Varies by Child's Activity Level

机译:时间长度对体育活动方式的影响因儿童的活动水平而异

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Purpose: Patterns of physical activity (PA) and sedentary time, including volume of bouted activity, are important health indicators. However, the effect of accelerometer epoch length on measurement of these patterns and associations with health outcomes in children remain unknown. Method: We measured activity patterns in 308 children (52% girls, age range=8-11 years) using ActiGraph GT1M accelerometers with 15-s epochs and reintegrated to 60-s epochs. We calculated the volume (minutes per day) of moderate-to-vigorous PA (MVPA), sedentary time, light, moderate, and vigorous PA, as well as bouted MVPA and sedentary time (0-5 min, 5-10 min, 10-20 min, and > 20 min). Results: The difference between 15-s and 60-s epochs was statistically significant for all outcomes; however, effect sizes were small or negligible in 30% of comparisons. Bias ranged from 1.9 min/day (total MVPA) to 102.7 min/day (0-5 min sedentary bouts). Regression-based estimates of bias and 95% limits of agreement illustrated that the magnitude, and in some cases, the direction, of between-epoch differences varied with activity level. Correlations with body mass index and cardiovascular fitness were similar for 15-s (r=-.19 to .20) and 60-s (r=-.16 to .29) epochs. Estimated 15-s data (predicted from 60-s) were similar to measured data and had similar relationships with health outcomes. Conclusion: Epoch length influences measurement of PA and sedentary patterns and the effect is modified by activity level. However, associations with health outcomes were similar and epoch differences can be adjusted. Future research should clarify the accuracy of different epoch lengths for measuring bouted activity and evaluate whether epoch length alters relationships with additional health outcomes.
机译:目的:身体活动(PA)和久坐时间的方式(包括长时间进行的活动)是重要的健康指标。然而,加速度计历时长度对这些模式的测量以及与儿童健康状况的关系的影响仍然未知。方法:我们使用15 s时元并重新整合到60 s时元的ActiGraph GT1M加速度计测量了308名儿童(52%的女孩,年龄范围为8-11岁)中的活动模式。我们计算了中度至重度PA(MVPA)的体积(每天的分钟数),久坐时间,轻度,中度和剧烈运动的PA以及静坐的MVPA和久坐时间(0-5分钟,5-10分钟, 10-20分钟,然后> 20分钟)。结果:15 s和60 s时期之间的差异对所有结局均具有统计学意义;但是,在30%的比较中,效果大小很小或可以忽略不计。偏倚范围从1.9分钟/天(总MVPA)到102.7分钟/天(0-5分钟久坐不动)。基于偏倚和95%一致性限制的基于回归的估计表明,历时差异的大小(在某些情况下为方向)随活动水平而变化。在15 s(r =-。19至0.20)和60-s(r =-。16至0.29)时期与体重指数和心血管健康的相关性相似。估计的15秒数据(从60秒预测)与实测数据相似,并且与健康结果具有相似的关系。结论:时期的长短会影响PA和久坐模式的测量,其影响程度会因活动水平而改变。但是,与健康结局的关联相似,时代差异可以调整。未来的研究应阐明不同时期长度的精确度,并评估时期长度是否会改变与其他健康结果的关系。

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