Measuring BMI change among children and adolescents
Supporting Files
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6 2022 ; 6-2022
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Available in CDC Stacks on 2024-05-29T00:00:00Z
File Language:
English
Details
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Alternative Title:Pediatr Obes
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Personal Author:Freedman, David S.
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Goodwin Davies, Amy J.
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Phan, Thao-Ly Tam
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Cole, F. Sessions
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Pajor, Nathan
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Rao, Suchitra
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Eneli, Ihuoma
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Kompaniyets, Lyudmyla
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Lange, Samantha J.
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Christakis, Dimitri A.
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Forrest, Christopher B.
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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:Pediatr Obes. 17(6):e12889
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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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File Type:
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Main Document Checksum:urn:sha256:609b007f69c37cf11fc19dd1c5d9b9f0f1d22db43da819d77f17f6335384cf1c
Supporting Files
File Language:
English
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