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

Autor: Jambarsang S; Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd Iran., Soodejani MT; Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd Iran., Tate R; Centre on Aging University of Manitoba Winnipeg Canada.; Department of Community Health Sciences, Max Rady College of Medicine University of Manitoba Winnipeg Canada., Sefidkar R; Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd Iran.
Jazyk: angličtina
Zdroj: Health science reports [Health Sci Rep] 2024 Feb 23; Vol. 7 (2), pp. e1897. Date of Electronic Publication: 2024 Feb 23 (Print Publication: 2024).
DOI: 10.1002/hsr2.1897
Abstrakt: Background and Aims: Hypertension 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.
Methods: This 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.
Results: The 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/m 2 ) 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/m 2 ) and female (AUC = 0.75 and optimal cut-off = 5.10 kg/m 2 ), and hip circumference revealed similar predictive power for female as well (AUC = 0.75 and optimal cut-off = 112 cm).
Conclusion: Based 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.
Competing Interests: The authors declare no conflict of interest.
(© 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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