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Comparative Study
. 2019 May;22(7):1241-1249.
doi: 10.1017/S1368980019000090. Epub 2019 Feb 18.

Assessment of the validity of multiple obesity indices compared with obesity-related co-morbidities

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Comparative Study

Assessment of the validity of multiple obesity indices compared with obesity-related co-morbidities

Jaeeun Myung et al. Public Health Nutr. 2019 May.

Abstract

Objective: The aim of the present study was to compare selected obesity indicators with comprehensive health status.

Design: The study employed a pooled cross-sectional design.

Setting: BMI, waist circumference, waist-to-height ratio (WHtR) and body fat percentage were considered as indirect obesity indicators. The Edmonton Obesity Staging System (EOSS) was used as a composite indicator to comprehensively reflect obesity-related co-morbidities. Cohen's κ coefficient was used to evaluate inter-measurement agreement for obesity. Conformity of indirect obesity indicators to the EOSS was assessed based on percentage agreement (proportion classified as obese and severely unhealthy as a result of obesity among the total sample), sensitivity (proportion classified as obese among individuals severely unhealthy as a result of obesity) and specificity (proportion classified as non-obese among fairly healthy individuals). Logistic regression analysis was used to identify the sociodemographic factors most strongly associated with conformity.ParticipantsThe study included 17338 adults from the Korea National Health and Nutrition Examination survey conducted between July 2008 and May 2011.

Results: Level of conformity to the EOSS was highest for WHtR (60·77 %) and lowest for BMI (35·96 %). WHtR and BMI had the highest sensitivity (53·7 %) and specificity (98·4 %), respectively. Predictability of conformity was lower among men for all indirect obesity indicators.

Conclusions: WHtR has the greatest potential to identify individuals at risk of health problems due to obesity. Individual demographic factors must be considered in selecting the most appropriate obesity measurement.

Keywords: BMI; Body fat percentage; Edmonton Obesity Staging System; Waist circumference; Waist-to-height ratio.

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Figures

Fig. 1
Fig. 1
Sample selection process (KNHANES, Korea National Health and Nutrition Examination Survey; EOSS, Edmonton Obesity Staging System)

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References

    1. World Health Organization (2016) Obesity and overweight fact sheet. http://www.who.int/mediacentre/factsheets/fs311/en/ (accessed October 2016).
    1. Thijssen E, van Caam A & van der Kraan PM (2015) Obesity and osteoarthritis, more than just wear and tear: pivotal roles for inflamed adipose tissue and dyslipidaemia in obesity-induced osteoarthritis. Rheumatology (Oxford) 54, 588–600. - PubMed
    1. Grossschadl F, Freidl W, Rasky E et al.. (2014) A 35-year trend analysis for back pain in Austria: the role of obesity. PLoS One 9, e107436. - PMC - PubMed
    1. Vaneckova I, Maletinska L, Behuliak M et al.. (2014) Obesity-related hypertension: possible pathophysiological mechanisms. J Endocrinol 223, R63–R78. - PubMed
    1. Xiao X, Liu Y, Sun C et al.. (2015) Evaluation of different obesity indices as predictors of type 2 diabetes mellitus in a Chinese population. J Diabetes 7, 386–392. - PubMed

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