PMID- 35193166
OWN - NLM
STAT- MEDLINE
DCOM- 20220608
LR  - 20230916
IS  - 2047-6310 (Electronic)
IS  - 2047-6302 (Print)
IS  - 2047-6302 (Linking)
VI  - 17
IP  - 7
DP  - 2022 Jul
TI  - Exploring an algorithm to harmonize International Obesity Task Force and World 
      Health Organization child overweight and obesity prevalence rates.
PG  - e12905
LID - 10.1111/ijpo.12905 [doi]
LID - e12905
AB  - 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 zA and zB 
      to age-sex-specific BMI cut-offs, then transform the BMIs to z-scores zB,A and 
      zA,B using the opposite reference. These z-scores together define the distance 
      between the two cut-offs as the z-score difference dzA,B = (1/2)(zB - zA + zA,B 
      - zB,A) . Prevalence in the target group based on cut-off A is then transformed 
      to a z-score, adjusted up or down according to dzA,B and back-transformed, and 
      this predicts prevalence based on cut-off B. The algorithm's performance was 
      tested on 74 groups of children from 14 European countries. 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.
CI  - (c) 2022 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on 
      behalf of World Obesity Federation.
FAU - Cole, Tim J
AU  - Cole TJ
AUID- ORCID: 0000-0001-5711-8200
AD  - Population, Policy and Practice Research and Teaching Programme, University 
      College London Great Ormond Street Institute of Child Health, London, UK.
FAU - Lobstein, Tim
AU  - Lobstein T
AD  - World Obesity Federation, London, UK.
AD  - Centre for Health Economics & Policy Innovation, Imperial College, London, UK.
LA  - eng
PT  - Journal Article
DEP - 20220222
PL  - England
TA  - Pediatr Obes
JT  - Pediatric obesity
JID - 101572033
SB  - IM
MH  - Algorithms
MH  - Body Mass Index
MH  - Child
MH  - Female
MH  - Humans
MH  - Male
MH  - *Obesity/epidemiology
MH  - *Overweight/epidemiology
MH  - Prevalence
MH  - World Health Organization
PMC - PMC9285550
OTO - NOTNLM
OT  - IOTF
OT  - WHO
OT  - harmonization
OT  - obesity
OT  - overweight
OT  - prevalence
COIS- Tim J. Cole declares the following conflicts of interest: he developed the LMS 
      method with Peter Green and was first author on papers describing the IOTF 
      cut-offs., , Tim Lobstein was also an author on the latter paper.
EDAT- 2022/02/23 06:00
MHDA- 2022/06/09 06:00
PMCR- 2022/07/15
CRDT- 2022/02/22 20:13
PHST- 2022/01/08 00:00 [revised]
PHST- 2021/07/22 00:00 [received]
PHST- 2022/01/20 00:00 [accepted]
PHST- 2022/02/23 06:00 [pubmed]
PHST- 2022/06/09 06:00 [medline]
PHST- 2022/02/22 20:13 [entrez]
PHST- 2022/07/15 00:00 [pmc-release]
AID - IJPO12905 [pii]
AID - 10.1111/ijpo.12905 [doi]
PST - ppublish
SO  - Pediatr Obes. 2022 Jul;17(7):e12905. doi: 10.1111/ijpo.12905. Epub 2022 Feb 22.