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30 March 2018 : Clinical Research  

Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study

Qing Wang1ABCE*, Zhuoqun Wang1BF, Wei Yao1DF, Xianming Wu1CD, Jingjing Huang1CDF, Lei Huang1BC, Yuemin Sun1ACEG

DOI: 10.12659/MSM.908257

Med Sci Monit 2018; 24: CLR1871-1879


BACKGROUND: The aims of this study were to investigate the relationship between optimal anthropometric indices and their cut-off values and the incidence of hypertension in a cohort of middle-aged women in China.

MATERIAL AND METHODS: A cohort of 812 women, aged between 40–70 years were recruited between May 2011 and June 2013. An ideal baseline blood pressure was defined as <120/80 mmHg; pre-hypertension was 120–139/80–89 mmHg; hypertension was ≥140/≥90 mmHg. Anthropometric measurements included waist circumference (WC), body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR). The cohort was divided into an ideal blood pressure group (Group 1) and a pre-hypertensive group (Group 2). Two-year follow-up blood pressure measurements were performed. Receiver-operating characteristic (ROC) curve analysis determined the optimal anthropometric indices and cut-off values for developing hypertension.

RESULTS: At two-year follow-up, hypertension developed in 9.0% (n=31) in Group 1 and 32.3% (n=121) in Group 2. Logistic regression analysis showed that in both groups, women in the highest quartile for WC, BMI, WHR, and WHtR had a significantly increased risk of developing hypertension compared with the lowest quartile (P<0.05). ROC curve area under the curve (AUC) for these anthropometric indices were greater in Group 1, and for WC in Groups 1 and 2, with the optimal cut-off values greater in Group 1.

CONCLUSIONS: In a cohort of middle-aged women in China, anthropometric indices of obesity were predictive of the development of hypertension during a two-year follow-up period.

Keywords: Hypertension, Metabolism, Obesity, prehypertension



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Dinah V. Parums
Science Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA

DOI: 10.12659/MSM.938532

Med Sci Monit 2022; 28:e938532


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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750