Measuring BMI change among children and adolescents
Autor: | David S. Freedman, Amy J. Goodwin Davies, Thao‐Ly Tam Phan, F. Sessions Cole, Nathan Pajor, Suchitra Rao, Ihuoma Eneli, Lyudmyla Kompaniyets, Samantha J. Lange, Dimitri A. Christakis, Christopher B. Forrest |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Pediatric Obesity. 17 |
ISSN: | 2047-6310 2047-6302 |
DOI: | 10.1111/ijpo.12889 |
Popis: | 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.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.285 643 2- to 17-year-olds with BMI measured 3 times over a 10- to 14-month period.We summarized each metric's variability using the within-child standard deviation.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.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. |
Databáze: | OpenAIRE |
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