Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran

Author:

Akbari-khezrabadi AliORCID,Zibaeenezhad Mohammad Javad,Shojaeefard Ehsan,Naseri Arzhang,Mousavi Shahrokh,Sarejloo Shirin,Karimi Mohammadreza,Hosseinpour Morteza,Salimi Maryam,Bazrafshan Mehdi,Salimi Amirhossein,Parsa NaderORCID,Sayadi Mehrab,Razeghian-Jahromi ImanORCID,Zibaeenejad FatemehORCID,Mohammadi Seyyed Saeed,Bazrafshan Drissi HamedORCID

Abstract

ObjectivesThis study aims to assess the prevalence of hypertension (HTN), and determine the relationship between HTN and anthropometric indices including fat distribution, body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) in Shiraz Heart Study.SettingIn this cross-sectional study, subjects were enrolled in 25 clinics in Shiraz. I.R. Iran between 2019 and 2021.ParticipantsA total number of 7225 individuals were selected, aged between 40 and 70 years of whom 52.3% were female. Among the people living in Shiraz, individuals living far from clinics, cases of mental or physical disabilitiy and documented cardiovascular diseases were excluded.Primary and secondary outcome measuresPrimary outcome: The association of body composition, WHR, WHtR and BMI with HTN.Secondary outcome: The sensitivity and specificity of the WHtR for the prediction of HTN.ResultsHTN prevalence was 19.3%. Obesity prevalence was estimated to be 28.5%. WHR and lean body mass showed a significant association with HTN (p<0.05). Receiver operating characteristic for WHtR yielded an area under the curve of 0.62 (95% CI 0.61 to 0.64) and 0.63 (95% CI 0.62 to 0.65) for males and females, respectively. The optimal threshold value yielded 0.54 in men and 0.61 in women. The sensitivity was 72.3% and 73.9% in women and men, with specificity of 48.4% and 44.3%, respectively.ConclusionHTN had a meaningful association with all the noted anthropometric indices. WHtR performed well as a predictor of HTN.

Funder

Vice-Chancellor for Research, Shiraz University of Medical Sciences

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3