Evidence map›Paper›PMID 35193166›Full record

ArticlePediatric obesity2022

Exploring an algorithm to harmonize International Obesity Task Force and World Health Organization child overweight and obesity prevalence rates.

Tim J Cole, Tim Lobstein

Abstract read
In one paragraph

Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Burden of childhood obesity in Pacific Islands Countries and Territories.The Lancet regional health. Western Pacific · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tim J ColePopulation, Policy and Practice Research and Teaching Programme, University College London Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0001-5711-8200
Tim LobsteinWorld Obesity Federation, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe International Obesity Task Force (IOTF) and World Health Organization (WHO) body mass index (BMI) cut-offs are widely used to assess child overweight, obesity and thinness prevalence, but the two references applied to the same children lead to different prevalence rates.

objectivesTo develop an algorithm to harmonize prevalence rates based on the IOTF and WHO cut-offs, to make them comparable.

methodsThe cut-offs are defined as age-sex-specific BMI z-scores, for example, WHO +1 SD for overweight. To convert an age-sex-specific prevalence rate based on reference cut-off A to the corresponding prevalence based on reference cut-off B, first back-transform the z-score cut-offs

resultsThe algorithm performed well. The standard deviation (SD) of the difference between pairs of prevalence rates was 6.6% (n = 604), while the residual SD, the difference between observed and predicted prevalence, was 2.3%, meaning that the algorithm explained 88% of the baseline variance.

conclusionsThe algorithm goes some way to addressing the problem of harmonizing overweight and obesity prevalence rates for children aged 2-18.

Indexed as

ObesityOverweightAlgorithmsBody Mass IndexChildFemaleHumansMalePrevalenceWorld Health OrganizationharmonizationIOTFobesityoverweightprevalenceWHO

Identifiers

PMID35193166
PMCPMC9285550

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.