Anthropometric indices predicting incident hypertension in an Iranian population: The Isfahan cohort study

Özet

Objective: The aim of the present study was to assess different obesity indices, as well as their best cut-off point, to predict the occurrence ofhypertension (HTN) in an Iranian population.Methods: In a population-based study, subjects aged 35 years and older were followed for 7 years. Blood pressure was measured at baselineand after the follow-up. Anthropometry indices included body mass index (BMI), body adiposity index (BAI), the waist-to-height ratio (WHtR),the waist-to-hip ratio (WHpR), and waist and hip circumferences (WC and HC). Logistic regression was employed to calculate the odds ratio(OR) and 95% confidence intervals (CI) per standard deviation (SD) increment. The operating characteristic analysis was used to derive the bestcut-off value for each index.Results: Among original 6504 participants, 2450 subjects who had no cardiovascular diseases (CVD) and HTN at baseline were revisited, and 542(22.1%) new cases of HTN were detected. There were minimal differences between most indices in the adjusted models; however, the best HTNpredictors were BMI (OR per SD 1.32; 95% CI 1.12–1.56) and almost equally WC (1.35; 1.13–1.60) in men and WC (1.20; 1.04–1.39) in women. Asa binary predictor, BMI with a cut-off point of 24.9 kg/m 2 in men (1.91; 1.40–2.62) and WC with a cut-off point of 98 cm in women (1.57; 1.17–2.10)were the best in adjusted models. WC, WHpR, and WHtR were significantly associated with an increased risk of HTN only in participants whoseweight was normal (BMI, 18.5–24.9 kg/m 2).Conclusion: Therefore, BMI in men and WC in women were the best predictors of HTN, both as continuous and binary factors at their appropriate cut-off points. (Anatol J Cardiol 2019; 22: 33-43)