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测量儿童和青少年的 BMI 变化。

Measuring BMI change among children and adolescents.

机构信息

Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

出版信息

Pediatr Obes. 2022 Jun;17(6):e12889. doi: 10.1111/ijpo.12889. Epub 2022 Jan 22.

Abstract

BACKGROUND

Weight control programs for children monitor BMI changes using BMI z-scores that adjust BMI for the sex and age of the child. It is, however, uncertain if BMIz is the best metric for assessing BMI change.

OBJECTIVE

To identify which of 6 BMI metrics is optimal for assessing change. We considered a metric to be optimal if its short-term variability was consistent across the entire BMI distribution.

SUBJECTS

285 643 2- to 17-year-olds with BMI measured 3 times over a 10- to 14-month period.

METHODS

We summarized each metric's variability using the within-child standard deviation.

RESULTS

Most metrics' initial or mean value correlated with short-term variability (|r| ~ 0.3 to 0.5). The metric for which the within-child variability was largely independent (r = 0.13) of the metric's initial or mean value was the percentage of the 50th expressed on a log scale. However, changes in this metric between the first and last visits were highly (r ≥ 0.97) correlated with changes in %95th and %50th.

CONCLUSIONS

Log %50 was the metric for which the short-term variability was largely independent of a child's BMI. Changes in log %50th, %95th, and %50th are strongly correlated.

摘要

背景

儿童体重控制计划通过 BMI z 分数监测 BMI 变化,该分数根据儿童的性别和年龄调整 BMI。然而,BMIz 是否是评估 BMI 变化的最佳指标尚不确定。

目的

确定 6 种 BMI 指标中哪种最适合评估变化。如果一种指标的短期变异性在整个 BMI 分布范围内一致,则认为该指标是最佳的。

受试者

285643 名 2 至 17 岁的儿童,在 10 至 14 个月的时间内测量了 3 次 BMI。

方法

我们使用个体内标准差总结了每种指标的变异性。

结果

大多数指标的初始值或平均值与短期变异性相关(|r|~0.3 至 0.5)。个体内变异性在很大程度上独立于指标初始值或平均值的指标(r=0.13)是 50 百分位数在对数刻度上的表示百分比。然而,该指标在第一次和最后一次就诊之间的变化与 %95th 和 %50th 的变化高度相关(r≥0.97)。

结论

log %50 是短期变异性在很大程度上独立于儿童 BMI 的指标。log %50th、%95th 和 %50th 的变化密切相关。

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