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Waist circumference, body mass index and waist to hip ratio for prediction of the metabolic syndrome in Chinese.
Nutr Metab Cardiovasc Dis 2009; 19(8):542-7NM

Abstract

BACKGROUND AND AIMS

To explore the ability of waist circumference (WC), body mass index (BMI) and waist to hip ratio (WHR) to predict two or more non-adipose components of the metabolic syndrome (MetS) among individuals aged 18-85 in North China.

METHODS AND RESULTS

This study is a cluster sample survey of 101,510 individuals, complete data are 75,788 subjects, 59,874 males and 15,914 females. Their ages were 51.9+/-12.7 years (males) and 48.7+/-11.5 years (females). Receiver operating characteristic (ROC) analysis was used to examine discrimination and find optimal cut off values of WC, BMI and WHR to predict two or more non-adipose components of MetS. The area under the ROC curve (AURC) for WC (0.694) and BMI (0.692) in females showed no difference. In males BMI (0.657) had a better discrimination than WC (0.634). WHR was weaker in both sexes. The optimal cut off value of WC in males (86.5 cm) was higher than in females (82.1cm); and that of BMI was about 24 kg/m(2) in both genders. The optimal cut off values of WC, BMI, and WHR, increased with age in both sexes.

CONCLUSIONS

BMI and WC are more useful than WHR for predicting two or more non-adipose components of MetS. Cut off values for WC in males, and those of BMI and WHR in both sexes are lower than that in present MetS criteria; WC in females is slightly higher. Cut off values of WC, BMI and WHR were increased with age in the Chinese.

Authors+Show Affiliations

Department of Epidemiology and Biostatistics, Peking University Health Science Center, Key Laboratory of Epidemiology of Peking University, Ministry of Education, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Studies

Language

eng

PubMed ID

19188050

Citation

Wang, F, et al. "Waist Circumference, Body Mass Index and Waist to Hip Ratio for Prediction of the Metabolic Syndrome in Chinese." Nutrition, Metabolism, and Cardiovascular Diseases : NMCD, vol. 19, no. 8, 2009, pp. 542-7.
Wang F, Wu S, Song Y, et al. Waist circumference, body mass index and waist to hip ratio for prediction of the metabolic syndrome in Chinese. Nutr Metab Cardiovasc Dis. 2009;19(8):542-7.
Wang, F., Wu, S., Song, Y., Tang, X., Marshall, R., Liang, M., ... Hu, Y. (2009). Waist circumference, body mass index and waist to hip ratio for prediction of the metabolic syndrome in Chinese. Nutrition, Metabolism, and Cardiovascular Diseases : NMCD, 19(8), pp. 542-7. doi:10.1016/j.numecd.2008.11.006.
Wang F, et al. Waist Circumference, Body Mass Index and Waist to Hip Ratio for Prediction of the Metabolic Syndrome in Chinese. Nutr Metab Cardiovasc Dis. 2009;19(8):542-7. PubMed PMID: 19188050.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Waist circumference, body mass index and waist to hip ratio for prediction of the metabolic syndrome in Chinese. AU - Wang,F, AU - Wu,S, AU - Song,Y, AU - Tang,X, AU - Marshall,R, AU - Liang,M, AU - Wu,Y, AU - Qin,X, AU - Chen,D, AU - Hu,Y, Y1 - 2009/02/01/ PY - 2008/09/05/received PY - 2008/10/21/revised PY - 2008/11/10/accepted PY - 2009/2/4/entrez PY - 2009/2/4/pubmed PY - 2009/12/16/medline SP - 542 EP - 7 JF - Nutrition, metabolism, and cardiovascular diseases : NMCD JO - Nutr Metab Cardiovasc Dis VL - 19 IS - 8 N2 - BACKGROUND AND AIMS: To explore the ability of waist circumference (WC), body mass index (BMI) and waist to hip ratio (WHR) to predict two or more non-adipose components of the metabolic syndrome (MetS) among individuals aged 18-85 in North China. METHODS AND RESULTS: This study is a cluster sample survey of 101,510 individuals, complete data are 75,788 subjects, 59,874 males and 15,914 females. Their ages were 51.9+/-12.7 years (males) and 48.7+/-11.5 years (females). Receiver operating characteristic (ROC) analysis was used to examine discrimination and find optimal cut off values of WC, BMI and WHR to predict two or more non-adipose components of MetS. The area under the ROC curve (AURC) for WC (0.694) and BMI (0.692) in females showed no difference. In males BMI (0.657) had a better discrimination than WC (0.634). WHR was weaker in both sexes. The optimal cut off value of WC in males (86.5 cm) was higher than in females (82.1cm); and that of BMI was about 24 kg/m(2) in both genders. The optimal cut off values of WC, BMI, and WHR, increased with age in both sexes. CONCLUSIONS: BMI and WC are more useful than WHR for predicting two or more non-adipose components of MetS. Cut off values for WC in males, and those of BMI and WHR in both sexes are lower than that in present MetS criteria; WC in females is slightly higher. Cut off values of WC, BMI and WHR were increased with age in the Chinese. SN - 1590-3729 UR - https://www.unboundmedicine.com/medline/citation/19188050/Waist_circumference_body_mass_index_and_waist_to_hip_ratio_for_prediction_of_the_metabolic_syndrome_in_Chinese_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0939-4753(08)00227-5 DB - PRIME DP - Unbound Medicine ER -