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在所有年龄段的波斯队列(沙赫迪耶)成年社区人群中,肥胖指数对未诊断高血压的预测效果如何?

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

作者信息

Jambarsang Sara, Soodejani Moslem Taheri, Tate Robert, Sefidkar Reyhane

机构信息

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

Centre on Aging University of Manitoba Winnipeg Canada.

出版信息

Health Sci Rep. 2024 Feb 23;7(2):e1897. doi: 10.1002/hsr2.1897. eCollection 2024 Feb.

Abstract

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) 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) and female (AUC = 0.75 and optimal cut-off = 5.10 kg/m), 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.

摘要

背景与目的

高血压是全球范围内心血管疾病、慢性肾病、认知障碍以及死亡和残疾的首要可预防风险因素。鉴于血压的预防、早期检测和治疗可改善公众健康,本研究旨在根据美国心脏病学会/美国心脏协会2020年指南,确定伊朗中部人群中预测高血压前期/1期及未诊断高血压风险的最佳肥胖指数,并估算每个指数的最佳切点。

方法

本横断面研究对2018年纳入伊朗亚兹德沙赫迪耶地区波斯成人队列的9715人进行。提取个体的人体测量指数,包括体重指数(BMI)、腰围(WC)、腕围、臀围、腰臀比和腰高比。利用受试者工作特征曲线确定各人体测量指数预测高血压分期的最佳切点,并按年龄性别类别比较其预测能力。使用SPSS 23.0版进行统计分析。

结果

结果显示,在35 - 45岁年龄组中,BMI对识别女性高血压前期/1期风险具有最佳预测能力(曲线下面积[AUC]=0.72,最佳切点=30.10kg/m²),WC对男性具有最佳预测能力(AUC=0.66,最佳切点=93.5cm)。BMI对35 - 45岁男性(AUC=0.73,最佳切点=28.90kg/m²)和女性(AUC=0.75,最佳切点=5.10kg/m²)未诊断高血压风险具有最佳预测能力,臀围对女性也显示出相似的预测能力(AUC=0.75,最佳切点=112cm)。

结论

基于我们的研究结果,BMI和WC这两种简单、廉价且无创的方法是预测伊朗年轻人高血压前期/1期及未诊断高血压风险的最佳指标。这表明通过一级预防、早期检测和加强治疗来降低高血压患病率的方法是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3ce/10885643/50398358da46/HSR2-7-e1897-g001.jpg

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