Measuring BMI change among children and adolescents. Issue 6 (22nd January 2022)

• Record Type: Journal Article
• Authors: Freedman, David S.; Goodwin Davies, Amy J.; Phan, Thao‐Ly Tam; Cole, F. Sessions; Pajor, Nathan; Rao, Suchitra; Eneli, Ihuoma; Kompaniyets, Lyudmyla; Lange, Samantha J.; Christakis, Dimitri A.; Forrest, Christopher B.
• Is Part Of: Pediatric obesity. Volume 17:Issue 6(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-01-22
• Subjects: BMI -- children -- metrics -- obesity -- PEDSnet; Obesity in children -- Periodicals; Obesity in adolescence -- Periodicals; Obesity -- Periodicals; Overweight children -- Periodicals; 618.92398
• DOI: 10.1111/ijpo.12889
• Languages: English
• ISSNs: 1747-7174

Abstract

Summary: 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.