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Measuring BMI change among children and adolescents
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6 2022
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Source: Pediatr Obes. 17(6):e12889
[PDF-595.86 KB]
Details:
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Alternative Title:Pediatr Obes
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Personal Author:
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Description: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 (jrj~ 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.
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Subjects:
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Source:
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Pubmed ID:35064761
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Pubmed Central ID:PMC11135243
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Document Type:
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Funding:
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Volume:17
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Issue:6
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