An improved algorithm to harmonize child overweight and obesity prevalence rates.
CDC
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:
01 2023
01 2023
Historique:
revised:
30
07
2022
received:
25
05
2022
accepted:
01
08
2022
pubmed:
24
8
2022
medline:
17
12
2022
entrez:
23
8
2022
Statut:
ppublish
Résumé
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. To improve the algorithm by combining information on overweight and obesity prevalence. The original algorithm assumed that prevalence according to two different cut-offs A and B differed by a constant amount 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). The improved algorithm appears to be effective at harmonizing prevalence rates of child overweight and obesity based on different references.
Sections du résumé
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
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.
Identifiants
pubmed: 35997305
doi: 10.1111/ijpo.12970
pmc: PMC10078258
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12970Informations de copyright
© 2022 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.
Références
Stat Med. 1992 Jul;11(10):1305-19
pubmed: 1518992
Am J Clin Nutr. 1991 Apr;53(4):839-46
pubmed: 2008861
PLoS One. 2020 Dec 18;15(12):e0244300
pubmed: 33338085
Lancet. 2020 Nov 7;396(10261):1511-1524
pubmed: 33160572
BMJ. 2000 May 6;320(7244):1240-3
pubmed: 10797032
Bull World Health Organ. 2007 Sep;85(9):660-7
pubmed: 18026621
Stat Med. 2001 Apr 30;20(8):1259-77
pubmed: 11304741
BMJ. 2007 Jul 28;335(7612):194
pubmed: 17591624
Lancet. 2017 Dec 16;390(10113):2627-2642
pubmed: 29029897
Pediatr Obes. 2012 Aug;7(4):284-94
pubmed: 22715120
Arch Pediatr. 2017 Dec;24(12):1205-1213
pubmed: 29169716
Lancet. 2020 Oct 17;396(10258):1223-1249
pubmed: 33069327
Health Promot Chronic Dis Prev Can. 2016 Sep;36(9):194-8
pubmed: 27670922
Pediatr Obes. 2022 Jul;17(7):e12905
pubmed: 35193166
Pediatr Obes. 2023 Jan;18(1):e12970
pubmed: 35997305
BMC Public Health. 2014 Aug 07;14:806
pubmed: 25099430
Natl Health Stat Report. 2013 Feb 11;(63):1-3
pubmed: 24992748
Hum Biol. 1985 May;57(2):183-96
pubmed: 3997126