High Discrepancy in Abdominal Obesity Prevalence According to Different Waist Circumference Cut-Offs and Measurement Methods in Children: Need for Age-Risk-Weighted Standardized Cut-Offs?
- PMID: 26745148
- PMCID: PMC4712906
- DOI: 10.1371/journal.pone.0146579
High Discrepancy in Abdominal Obesity Prevalence According to Different Waist Circumference Cut-Offs and Measurement Methods in Children: Need for Age-Risk-Weighted Standardized Cut-Offs?
Abstract
Background: Waist circumference (WC) is a good proxy measure of central adiposity. Due to the multiplicity of existing WC cut-offs and different measurement methods, the decision to use one rather than another WC chart may lead to different prevalence estimates of abdominal obesity in the same population. Aim of our study was to assess how much the prevalence of abdominal obesity varies in Italian schoolchildren using the different available WC cut-offs.
Methods: We measured WC at just above the uppermost lateral border of the right ilium in 1062 Italian schoolchildren aged 7-14 years, 499 living in Northern Italy and 563 in Southern Italy. Abdominal obesity was defined as WC ≥90th percentile for gender and age according to nine WC charts.
Results: We found an extremely high variability in the prevalence of abdominal obesity detected in our study-populations according to the different WC charts, ranging in the overall group from 9.1% to 61.4%. In Northern Italy children it varied from 2.4% to 35.7%, and in Southern ones from 15.1% to 84.2%.
Conclusions: On the basis of the chosen WC cut-offs the prevalence of abdominal obesity varies widely, because percentile-charts are strongly influenced by the population status in a particular moment. A further rate of variability may lay on the site of WC measurement and on the statistical method used to calculate WC cut-offs. Risk-weighted WC cut-offs measured in a standardized anatomic site and calculated by the appropriate method are needed to simply identify by WC measurement those children at high risk of cardio-metabolic complications to whom specific and prompt health interventions should be addressed.
Conflict of interest statement
Similar articles
-
BMI, Waist Circumference Reference Values for Chinese School-Aged Children and Adolescents.Int J Environ Res Public Health. 2016 Jun 14;13(6):589. doi: 10.3390/ijerph13060589. Int J Environ Res Public Health. 2016. PMID: 27314368 Free PMC article.
-
Abdominal obesity in adolescents: Development of age-specific waist circumference cut-offs linked to adult IDF criteria.Am J Hum Biol. 2017 Nov;29(6). doi: 10.1002/ajhb.23036. Epub 2017 Jul 1. Am J Hum Biol. 2017. PMID: 28667803
-
Central overweight and obesity in Polish schoolchildren aged 7-18 years: secular changes of waist circumference between 1966 and 2012.Eur J Pediatr. 2017 Jul;176(7):909-916. doi: 10.1007/s00431-017-2938-4. Epub 2017 May 24. Eur J Pediatr. 2017. PMID: 28540432
-
[Waist circumference, waist/height ratio, and neck circumference as parameters of central obesity assessment in children].Rev Paul Pediatr. 2014 Sep;32(3):273-81. doi: 10.1590/0103-0582201432320. Epub 2014 Oct 3. Rev Paul Pediatr. 2014. PMID: 25479861 Free PMC article. Review.
-
Evaluation of Obesity in School-Age Children.J Atheroscler Thromb. 2016;23(1):32-8. doi: 10.5551/jat.29397. Epub 2015 Oct 29. J Atheroscler Thromb. 2016. PMID: 26510873 Review.
Cited by
-
Comparisons of Waist Circumference Measurements at Five Different Anatomical Sites in Chinese Children.Biomed Res Int. 2017;2017:7678613. doi: 10.1155/2017/7678613. Epub 2017 Feb 2. Biomed Res Int. 2017. PMID: 28261614 Free PMC article.
-
Relationship of body mass index to percent body fat determined by deuterium isotopic dilution and impedancemetry among Tunisian schoolchildren.Afr Health Sci. 2023 Sep;23(3):664-671. doi: 10.4314/ahs.v23i3.77. Afr Health Sci. 2023. PMID: 38357184 Free PMC article.
-
A Novel Indicator Of Lipid Accumulation Product Associated With Metabolic Syndrome In Chinese Children And Adolescents.Diabetes Metab Syndr Obes. 2019 Oct 10;12:2075-2083. doi: 10.2147/DMSO.S221786. eCollection 2019. Diabetes Metab Syndr Obes. 2019. PMID: 31632117 Free PMC article.
-
Haptoglobin Phenotypes Are Associated with the Postload Glucose and Insulin Levels in Pediatric Obesity.Int J Endocrinol. 2020 Jul 9;2020:6035138. doi: 10.1155/2020/6035138. eCollection 2020. Int J Endocrinol. 2020. PMID: 32695161 Free PMC article.
-
Longitudinal association between obesity and periodontal diseases among secondary school students in Hong Kong: a prospective cohort study.BMC Oral Health. 2018 Nov 20;18(1):189. doi: 10.1186/s12903-018-0659-3. BMC Oral Health. 2018. PMID: 30458748 Free PMC article.
References
-
- Brambilla P, Bedogni G, Moreno LA, Goran MI, Gutin B, Fox KR, et al. Crossvalidation of anthropometry against magnetic resonance imaging for the assessment of visceral and subcutaneous adipose tissue in children. Int J Obes. 2006;30: 23–30. - PubMed
-
- Freedman DS, Serdula MK, Srinivasan SR, Berenson GS. Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study. Am J Clin Nutr. 1999;69: 308–317. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical