Exploring an algorithm to harmonize International Obesity Task Force and World Health Organization child overweight and obesity prevalence rates.
IOTF
WHO
harmonization
obesity
overweight
prevalence
Journal
Pediatric obesity
ISSN: 2047-6310
Titre abrégé: Pediatr Obes
Pays: England
ID NLM: 101572033
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
revised:
08
01
2022
received:
22
07
2021
accepted:
20
01
2022
pubmed:
23
2
2022
medline:
9
6
2022
entrez:
22
2
2022
Statut:
ppublish
Résumé
The 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. To develop an algorithm to harmonize prevalence rates based on the IOTF and WHO cut-offs, to make them comparable. The 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 The 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. The algorithm goes some way to addressing the problem of harmonizing overweight and obesity prevalence rates for children aged 2-18.
Sections du résumé
BACKGROUND
The 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.
OBJECTIVES
To develop an algorithm to harmonize prevalence rates based on the IOTF and WHO cut-offs, to make them comparable.
METHODS
The 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
RESULTS
The 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.
CONCLUSIONS
The algorithm goes some way to addressing the problem of harmonizing overweight and obesity prevalence rates for children aged 2-18.
Identifiants
pubmed: 35193166
doi: 10.1111/ijpo.12905
pmc: PMC9285550
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12905Informations de copyright
© 2022 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.
Références
Am J Clin Nutr. 1991 Apr;53(4):839-46
pubmed: 2008861
PLoS One. 2020 Dec 18;15(12):e0244300
pubmed: 33338085
Lancet. 2020 Oct 17;396(10258):1223-1249
pubmed: 33069327
Pediatr Obes. 2022 Jul;17(7):e12905
pubmed: 35193166
Am J Clin Nutr. 1999 Jul;70(1):173S-175S
pubmed: 10393168
Lancet. 2016 Apr 2;387(10026):1377-1396
pubmed: 27115820
Am J Clin Nutr. 2010 Nov;92(5):1257-64
pubmed: 20861173
Int J Epidemiol. 2022 Jun 13;51(3):1012-1021
pubmed: 35020895
Int J Obes Relat Metab Disord. 2000 Jul;24(7):807-18
pubmed: 10918526
Lancet. 2017 Dec 16;390(10113):2627-2642
pubmed: 29029897
Obes Facts. 2019;12(2):244-258
pubmed: 31030201
Ann Hum Biol. 1979 May-Jun;6(3):249-68
pubmed: 496386
Stat Med. 1992 Jul;11(10):1305-19
pubmed: 1518992
Vital Health Stat 11. 1977 Nov;(165):i-iv, 1-74
pubmed: 611680
BMC Pediatr. 2008 May 05;8:19
pubmed: 18457590
Int J Pediatr Obes. 2010 May 3;5(3):265-73
pubmed: 20210678
BMJ. 2000 May 6;320(7244):1240-3
pubmed: 10797032
Int J Pediatr Obes. 2011 Oct;6(5-6):325-31
pubmed: 21916784
BMC Public Health. 2014 Aug 07;14:806
pubmed: 25099430
Rev Epidemiol Sante Publique. 2015 Jun;63(3):173-82
pubmed: 26002984
Bull World Health Organ. 2007 Sep;85(9):660-7
pubmed: 18026621
Natl Health Stat Report. 2013 Feb 11;(63):1-3
pubmed: 24992748
Hum Biol. 1985 May;57(2):183-96
pubmed: 3997126
World Health Organ Tech Rep Ser. 2000;894:i-xii, 1-253
pubmed: 11234459
BMJ. 2007 Jul 28;335(7612):194
pubmed: 17591624
Pediatr Obes. 2012 Aug;7(4):284-94
pubmed: 22715120
Int J Obes. 1985;9(2):147-53
pubmed: 4030199