ArticlePediatric obesity2023
An improved algorithm to harmonize child overweight and obesity prevalence rates.
Article in Pediatric obesity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Physical Activity as a Mediator in the Relationship Between Body Image Perception and Low Mood in Adolescents.International journal of environmental research and public health · 2025Article
- Family Structure, Family Transitions, and Child Overweight and Obesity: Comparing Australia, the United Kingdom, and the United States.Children (Basel, Switzerland) · 2024Article
- Age- and height-dependent bias of underweight and overweight assessment standards for children and adolescents.Frontiers in public health · 2024Article
- An improved algorithm to harmonize child overweight and obesity prevalence rates.Pediatric obesity · 2023Article
- The Relationship between Obesity and Childhood Dental Caries in the United States.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundPrevalence 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.
objectiveTo improve the algorithm by combining information on overweight and obesity prevalence.
methodsThe original algorithm assumed that prevalence according to two different cut-offs A and B differed by a constant amount
resultsThe 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).
conclusionsThe improved algorithm appears to be effective at harmonizing prevalence rates of child overweight and obesity based on different references.
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