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An improved algorithm to harmonize child overweight and obesity prevalence rates

Title: An improved algorithm to harmonize child overweight and obesity prevalence rates
Authors: Cole, Tim J.; Lobstein, Tim
Source: Pediatric Obesity ; volume 18, issue 1 ; ISSN 2047-6302 2047-6310
Publisher Information: Wiley
Publication Year: 2022
Collection: Wiley Online Library (Open Access Articles via Crossref)
Description: Summary Background Prevalence rates of child overweight and obesity for a group of children vary depending on the BMI reference and cut‐off used. Previously we developed an algorithm to convert prevalence rates based on one reference to those based on another. Objective To improve the algorithm by combining information on overweight and obesity prevalence. Methods The original algorithm assumed that prevalence according to two different cut‐offs A and B differed by a constant amount on the z‐score scale. However the results showed that the z‐score difference tended to be greater in the upper tail of the distribution and was better represented by , where was a constant that varied by group. The improved algorithm uses paired prevalence rates of overweight and obesity to estimate for each group. Prevalence based on cut‐off A is then transformed to a z‐score, adjusted up or down according to and back‐transformed, and this predicts prevalence based on cut‐off B. The algorithm's performance was tested on 228 groups of children aged 6–17 years from 20 countries. Results The revised algorithm performed much better than the original. The standard deviation (SD) of residuals, the difference between observed and predicted prevalence, was 0.8% ( n = 2320 comparisons), while the SD of the difference between pairs of the original prevalence rates was 4.3%, meaning that the algorithm explained 96.7% of the baseline variance (88.2% with original algorithm). Conclusions The improved algorithm appears to be effective at harmonizing prevalence rates of child overweight and obesity based on different references.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1111/ijpo.12970
Availability: https://doi.org/10.1111/ijpo.12970; https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijpo.12970; https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ijpo.12970
Rights: http://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.2B04374D
Database: BASE