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Prediction of Hypertension by Different Anthropometric Indices in Adults: The Change in Estimate Approach

Citation

Tuan, Nguyen T.; Adair, Linda S.; Stevens, June; & Popkin, Barry M. (2010). Prediction of Hypertension by Different Anthropometric Indices in Adults: The Change in Estimate Approach. Public Health Nutrition, 13(5), 639-646. PMCID: PMC2855402

Abstract

Objective: To examine the relative contribution for the prediction of hypertension by waist circumference (WC), waist:stature ratio (WSR) or waist:hip ratio (WHR) with that by BMI, to ascertain if WC, WSR or WHR enhances the prediction of hypertension by BMI.
Design: Population-based, cross-sectional study. A change of ?10 % in the prevalence ratio of BMI (PR) or the area under the receiver-operating characteristic curve (AUC) when WC, WSR or WHR was added to a model with BMI was used as the criterion for significant contribution to the prediction of hypertension by BMI. For greater contributions (?10 %) these waist measures were considered as better predictors.
Setting: Nine provinces in China.
Subjects: Chinese adults aged 18 to 65 years (n 7336) who participated in the 2004 China Health and Nutrition Survey.
Results: The prevalence of hypertension (17 % and 23 % for women and men, respectively) was significantly related to increased BMI, WC, WSR and WHR (P for trend <0·001). Although there was a better model fit when WC, WSR or WHR was added to a model with BMI (P < 0·05; likelihood ratio test), the changes in PR and AUC were <10 % and <5 %, respectively. The sex-specific AUC for the prediction of hypertension by BMI (of 0·7–0·8) was similar to that by WC, WSR or WHR.
Conclusions: The waist indices do not perform better than BMI or markedly enhance the prediction of increased hypertension risk by BMI in Chinese adults.

URL

http://dx.doi.org/10.1017/S1368980009991479

Reference Type

Journal Article

Year Published

2010

Journal Title

Public Health Nutrition

Author(s)

Tuan, Nguyen T.
Adair, Linda S.
Stevens, June
Popkin, Barry M.

PMCID

PMC2855402