Associations between metabolic risk factors and body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio in a Chinese rural population

Xin Guan, Guozhe Sun, Liqiang Zheng, Wenyu Hu, Wenna Li, Yingxian Sun, Xin Guan, Guozhe Sun, Liqiang Zheng, Wenyu Hu, Wenna Li, Yingxian Sun

Abstract

Aims/introduction: Obesity plays a central role in metabolic syndrome. Obesity indexes are important in clinical work. In the present study, we sought to determine the relationships between obesity indexes and metabolic risk factors.

Materials and methods: We studied 11,568 participants over 35 years. Body mass index, waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio were measured and calculated. To compare the predictive ability of the obesity indexes in diagnosing multiple metabolic risk factors, the areas under receiver operating characteristic curves were calculated, and cut-off values were determined. A partial correlation coefficient was used to assess the intercorrelations between the obesity indexes, and to evaluate the correlations between each index and each metabolic risk factor.

Results: The partial correlation coefficient for WHtR and WC was 0.947. In diagnosing multiple metabolic risk factors, the WHtR areas under receiver operating characteristic curves was greater than that for the other obesity indexes in both sexes. The cut-off point for the WHtR was 0.50 in men and 0.52 in women. The cut-off point for WC was 85 cm in men and 80 cm in women.

Conclusions: WHtR strongly correlates with WC. The WHtR might show the same predictive ability as the WC in diagnosing multiple metabolic risk factors.

Keywords: Metabolic risk factors; Waist circumference; Waist-to-height ratio.

© 2015 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

Figures

Figure 1
Figure 1
Receiver operating characteristic curves of obesity indices to predict ≥2 metabolic risk factors according to sex. (a) Men. (b) Women. BMI, body mass index; WC, waist circumference, WHpR, waist‐to‐hip ratio; WHtR, waist‐to‐height ratio.

References

    1. Expert Panel on the Identification . Evaluation, and Treatment of Overweight in Adults. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: executive summary. Am J Clin Nutr 1998; 68: 899–917.
    1. Grundy SM, Cleeman JI, Daniels SR, et al Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005; 112: 2735–2752.
    1. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome—a new worldwide definition. Lancet 2005; 366: 1059–1062.
    1. Misra A, Wasir JS, Vikram NK. Waist circumference criteria for the diagnosis of abdominal obesity are not applicable uniformly to all populations and ethnic groups. Nutrition 2005; 21: 969–976.
    1. Hsu CH, Lin JD, Hsieh CH, et al Adiposity measurements in association with metabolic syndrome in older men have different clinical implications. Nutr Res 2014; 34: 219–225.
    1. Knowles KM, Paiva LL, Sanchez SE, et al Waist Circumference, Body Mass Index, and Other Measures of Adiposity in Predicting Cardiovascular Disease Risk Factors among Peruvian Adults. Int J Hypertens 2011; 2011: 931402.
    1. Li WC, Chen IC, Chang YC, et al Waist‐to‐height ratio, waist circumference, and body mass index as indices of cardiometabolic risk among 36,642 Taiwanese adults. Eur J Nutr 2013; 52: 57–65.
    1. Ashwell M, Gunn P, Gibson S. Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis. Obes Rev 2012; 13: 275–286.
    1. Bener A, Yousafzai MT, Darwish S, et al Obesity Index That Better Predict Metabolic Syndrome:body Mass Index, Waist Circumference, Waist Hip Ratio, or Waist Height Ratio. Hindawi Publishing Corporation. J Obes 2013; 2013: 269038.
    1. Ko KP, Oh DK, Min H, et al Prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the Korean genome and epidemiology study. J Epidemiol 2012; 22: 433–439.
    1. Gharipour M, Sarrafzadegan N, Sadeghi M, et al Predictors of metabolic syndrome in the Iranian population: waist circumference, body mass index, or waist to hip ratio?. Cholestrol 2013; 2013: 198384.
    1. Guasch‐Ferré M, Bulló M, Martínez‐González MÁ, et al Waist‐to‐Height Ratio and Cardiovascular Risk Factors in Elderly Individuals at High Cardiovascular Risk. PLoS ONE 2012; 7: e43275.
    1. Abbasi F, Malhotra D, Mathur A, , etal. Body mass index waist circumference associate to a comparable degree with insulin resistance related metabolic abnormalities in South Asian women, men. Diab Vasc Dis Res 2000; 9: 296–300.
    1. Herrera VM, Casas JP, Miranda JJ, et al Interethnic differences in the accuracy of anthropometric indicators of obesity in screening for high risk of coronary heart disease. Int J Obes (Lond) 2009; 33: 568–576.
    1. Ashwell M, Hsieh SD. Six reasons why the waist‐to‐height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr 2005; 56: 303–307.
    1. Liu Y, Tong G, Tong W, et al Can body mass index, waist circumference, waist‐hip ratio and waist‐height ratio predict the presence of multiple metabolic risk factors in Chinese subjects? BMC Public Health 2011; 11: 35.
    1. Lee SY, Park HS, Kim DJ, et al Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007; 75: 72–80.
    1. Wang W, Luo Y, Liu Y, et al Prevalence of metabolic syndrome and optimal waist circumference cut‐off points for adults in Beijing. Diabetes Res Clin Pract 2010; 88: 209–216.

Source: PubMed

3
Se inscrever