How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages?

Author:

Jambarsang Sara1,Soodejani Moslem Taheri1,Tate Robert23,Sefidkar Reyhane1ORCID

Affiliation:

1. Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd Iran

2. Centre on Aging University of Manitoba Winnipeg Canada

3. Department of Community Health Sciences, Max Rady College of Medicine University of Manitoba Winnipeg Canada

Abstract

AbstractBackground and AimsHypertension is the leading preventable risk factor for cardiovascular disease, chronic kidney disease and cognitive impairment, and mortality and disability worldwide. Since prevention, early detection, and treatment of blood pressure improve public health, the aim of present study was to determine the best obesity indices and estimate the optimal cut‐off point for each one to predict the risk of elevated/stage 1 and undiagnosed hypertension in the population of center of Iran based on American ACC/AHA 2020 guidelines.MethodsThis cross‐sectional study was performed on 9715 people who enrolled in 2018 in Persian Adult Cohort in Shahedieh area of Yazd, Iran in 2018. The anthropometric indices including body mass index (BMI) and waist circumference (WC), wrist circumference, hip circumference, waist‐to‐hip ratio, and waist‐to height ratio of individuals, were extracted. The receiver operating characteristic curve was utilized to determine the optimum cut‐off point of each anthropometric index to predict hypertension stages and compare their predictive power by age‐sex categories. Statistical analysis was done using SPSS version 23.0.ResultsThe results showed that BMI has the best predictive power to recognize the risk of elevated/stage 1 hypertension for female (area under the curve [AUC] = 0.72 and optimal cut‐off = 30.10 kg/m2) and WC for male (AUC = 0.66 and optimal cut‐off = 93.5 cm) in 35−45 age group. BMI had the best predictive power for the risk of undiagnosed hypertension for 35−45 years old male (AUC = 0.73 and optimal cut‐off = 28.90 kg/m2) and female (AUC = 0.75 and optimal cut‐off = 5.10 kg/m2), and hip circumference revealed similar predictive power for female as well (AUC = 0.75 and optimal cut‐off = 112 cm).ConclusionBased on our findings, BMI and WC, which are simple, inexpensive, and noninvasive means, are the best markers to predict the risk of elevated/stage 1 and undiagnosed hypertension in young Iranians. It shows that the approach of reducing hypertension prevalence through primary prevention, early detection, and enhancing its treatment is achievable.

Publisher

Wiley

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