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儿童中由活动记录仪定义的中度至剧烈身体活动的临界值:统计学及生物行为学相关性

Actigraph-defined moderate-to-vigorous physical activity cut-off points among children: statistical and biobehavioural relevance.

作者信息

Guinhouya Comlavi B, Lemdani Mohamed, Vilhelm Christian, Durocher Alain, Hubert Hervé

机构信息

Institute of Engineering in Health of Lille, EA 2694: Laboratory of Public Health, University of Lille 2, France.

出版信息

Acta Paediatr. 2009 Apr;98(4):708-14. doi: 10.1111/j.1651-2227.2008.01187.x. Epub 2009 Jan 9.

Abstract

AIM

To compare Actigraph-defined moderate-to-vigorous physical activity (MVPA) cutpoints among children, combining statistical and biobehavioural analyses.

METHODS

One hundred and thirteen children aged 10.0 +/- 0.8 years wore accelerometer for three days. The time they spent in MVPA was estimated using 10 thresholds ranged from 3000 to 3900 cpm. A statistical construct including 45 Bland and Altman pairwise analyses was used to compare the 10 estimates of MVPA. A regression was performed to develop an equation relating mean differences to the between-cutpoint gaps.

RESULTS

Mean differences in the MVPA estimates ranged from 1.6 to 12.8 min as a function of increment. Raw estimates of MVPA decreased according to an arithmetic sequence with a common difference of 200 cpm. This difference translates into a drop of 12% in MVPA and a misclassification of up to 5% of children. Mean differences (Y) could be predicted from increments (X) using: Y= 0.02 X (R(2)= 0.99, SEE = 0.72, p < 0.0001).

CONCLUSION

When a lack of agreement should be assumed as the between-cutpoint gap exceeds 200 cpm, statistical differences may occur earlier at 90 cpm. Yet, the current equation makes it possible to compare and adjust results from studies/interventions using diverse cutpoints for MVPA among children.

摘要

目的

结合统计分析和生物行为分析,比较儿童中由活动记录仪定义的中度至剧烈身体活动(MVPA)切点。

方法

113名年龄为10.0±0.8岁的儿童佩戴加速度计三天。使用3000至3900次/分钟的10个阈值估计他们在MVPA中花费的时间。使用包含45对Bland和Altman分析的统计结构来比较MVPA的10种估计值。进行回归分析以建立一个将平均差异与切点间差距相关联的方程。

结果

MVPA估计值的平均差异范围为1.6至12.8分钟,随增量而变化。MVPA的原始估计值按算术序列下降,公差为200次/分钟。这种差异导致MVPA下降12%,多达5%的儿童被错误分类。平均差异(Y)可以根据增量(X)预测,公式为:Y = 0.02X(R² = 0.99,标准误 = 0.72,p < 0.0001)。

结论

当切点间差距超过200次/分钟时应假定存在不一致,统计差异可能在90次/分钟时更早出现。然而,当前的方程使得能够比较和调整使用不同MVPA切点的儿童研究/干预结果。

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