Abstract
Background
The prevalence of metabolic syndrome (MetS) is increasing worldwide with a marked impact in cardiovascular disease (CVD) and diabetes risk.
Aim of the study
To evaluate the anthropometric indices for metabolic syndrome (MetS) and determine the optimal cut-off values of waist circumference (WC), body mass index (BMI), and waist height ratio (WHtR) for MetS in Chinese adults aged 40 years and over.
Methods
A sample of Chinese adults aged 40 years and over including 430 men and 638 women was investigated. Blood pressure, weight, height, and WC were measured; HDL-cholesterol (HDL-C), Triglyceride (TG), and plasma glucose were examined. Receiver operating characteristics (ROC) curve analyses were used to evaluate the optimal cut-off point of WC, BMI, and WHtR for MetS.
Results
According to the ROC curve analysis, the optimal cut-off point for WC was found to be 84.0 cm in men and 80.0 cm in women; for BMI, it was 26.0 in men and 25.0 in women; and for WHtR, it was 0.5 in both men and women. WHtR has the highest predictive value for fast plasma glucose in women, while BMI has the better prediction of dyslipidemia in men.
Conclusions
Anthropometric indices (WC, BMI, and WHtR) are useful screening tools for obesity, MetS, and CVD risk factors. BMI may be a better indicator than the others for screening obesity, dyslipidemia, and other risk components in Chinese men aged 40 years and over, while WHtR may be better for Chinese women, especially among those aged 70 years and over.
Similar content being viewed by others
References
Alberti K, Zimmet P, Shaw J (2006) Metabolic syndrome—a new world-wide definition. A consensus statement from the international diabetes federation. Diabet Med 23:469–480
Day C (2007) Metabolic syndrome, or what you will: definitions and epidemiology. Diab Vasc Dis Res 4:32–38
Alberti K, Zimmet P, Shaw J, Group IETFC (2005) The metabolic syndrome–a new worldwide definition. Lancet 366:1059–1062
Brooks N, Moore K, Clark R, Perfetti M, Trent C, Combs T (2007) Do low levels of circulating adiponectin represent a biomarker or just another risk factor for the metabolic syndrome? Diabetes Obes Metab 9:246–258
Hsieh S, Yoshinaga H, Muto T (2003) Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 27:610–616
He Y, Zhai F, Ma G, Feskens E, Zhang J, Fu P et al (2009) Abdominal obesity and the prevalence of diabetes and intermediate hyperglycaemia in Chinese adults. Public Health Nutr 12:1078–1084
Ashwell M, Lejeune S, McPherson K (1996) Ratio of waist circumference to height may be better indicator of need for weight management. BMJ 312:377
Sung R, So H, Choi K, Nelson E, Li A, Yin J et al. (2008) Waist circumference and waist-to-height ratio of Hong Kong Chinese children. BMC Public Health 8:324
Alberti K, Eckel R, Grundy S, Zimmet P, Cleeman J, Donato K et al. (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International diabetes federation task force on epidemiology and prevention; National heart, lung, and blood institute; American heart association; World heart federation; International atherosclerosis society; and International association for the study of obesity. Circulation 120:1640–1645
Mojiminiyi O, Al Mulla F, Abdella N (2009) Which obesity index best explains the link between adipokines, coronary heart disease risk and metabolic abnormalities in type 2 diabetes mellitus? Med Princ Pract 18:123–129
He YH, Jiang GX, Yang Y, Huang HE, Li R, Li XY et al (2009) Obesity and its associations with hypertension and type 2 diabetes among Chinese adults age 40 years and over. Nutrition 25:1143–1149
Friedewald WT, Levy RI, Fredrickson DS (2007) International diabetes federation. The IDF consensus worldwide definition of the metabolic syndrome. (Available at: www.idf.org/home/index.cfm?node=1429)
Hanley J, McNeil B (1983) A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148:839–843
Hwang LC, Bai CH, Chen CJ, Chien KL (2007) Gender difference on the development of metabolic syndrome: a population-based study in Taiwan. Eur J Epidemiol 22:899–906
Schwandt P, Kelishadi R, Haas G (2008) First reference curves of waist circumference for German children in comparison to international values: the PEP Family Heart Study. World J Pediatr 4:259–266
Bao Y, Lu J, Wang C, Yang M, Li H, Zhang X et al (2008) Optimal waist circumference cutoffs for abdominal obesity in Chinese. Atherosclerosis 201:378–384
Gus M, Cichelero F, Moreira C, Escobar G, Moreira L, Wiehe M et al (2009) Waist circumference cut-off values to predict the incidence of hypertension: an estimation from a Brazilian population-based cohort. Nutr Metab Cardiovasc Dis 19:15–19
Janssen I, Heymsfield S, Allison D, Kotler D, Ross R (2002) Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. Am J Clin Nutr 75:683–688
Nilsson G, Hedberg P, Jonason T, Lönnberg I, Tenerz A, Forberg R et al (2008) Waist circumference alone predicts insulin resistance as good as the metabolic syndrome in elderly women. Eur J Intern Med 19:520–526
Lin W, Lee L, Chen C, Lo H, Hsia H, Liu I et al (2002) Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord 26:1232–1238
Hsieh S, Yoshinaga H (1995) Waist/height ratio as a simple and useful predictor of coronary heart disease risk factors in women. Intern Med 34:1147–1152
Ashwell M, Hsieh S (2005) 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 56:303–307
Siavash M, Sadeghi M, Salarifar F, Amini M, Shojaee-Moradie F (2008) Comparison of body mass index and waist/height ratio in predicting definite coronary artery disease. Ann Nutr Metab 53:162–166
Kahn H, Imperatore G, Cheng Y (2005) A population-based comparison of BMI percentiles and waist-to-height ratio for identifying cardiovascular risk in youth. J Pediatr 146:482–488
Pasquali R (2006) Obesity and androgens: facts and perspectives. Fertil Steril 85:1319–1340
Tankó L, Bruun J, Alexandersen P, Bagger Y, Richelsen B, Christiansen C et al (2004) Novel associations between bioavailable estradiol and adipokines in elderly women with different phenotypes of obesity: implications for atherogenesis. Circulation 110:2246–2252
Saver AA, Syddall HE, Dennison EM, Gilbody HJ, Duggleby SL, Cooper C et al (2004) Birth weight, weight at 1 y of age, and body composition in older men: findings from the Hertfordshire Cohort Study. Am J Clin Nutr 80:199–203
Agarwal SK, Misra A, Aggarwal P, Bardia A, Goel R, Vikram NK et al (2009) Waist circumference measurement by site, posture, respiratory phase, and meal time: implications for methodology. Obesity 17:1056–1061
Acknowledgments
This study was supported by funds from Shanghai Science and Technology Commission (04DZ19502),(07DJ14005)and Natural Science Foundation of School of Medicine, Shanghai Jiao Tong University (06XJ21202), Shanghai, China. Authors would like to thank all patients and institutes that participated in this study.
Conflict of interest
The authors declare that they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Y.-H. He and Y.-C. Chen are joint first authors.
Rights and permissions
About this article
Cite this article
He, YH., Chen, YC., Jiang, GX. et al. Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over. Eur J Nutr 51, 81–87 (2012). https://doi.org/10.1007/s00394-011-0195-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00394-011-0195-2