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Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran
OBJECTIVES: This 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. SETTING: In this cross...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685002/ https://www.ncbi.nlm.nih.gov/pubmed/36418117 http://dx.doi.org/10.1136/bmjopen-2022-062328 |
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author | Akbari-khezrabadi, Ali Zibaeenezhad, Mohammad Javad Shojaeefard, Ehsan Naseri, Arzhang Mousavi, Shahrokh Sarejloo, Shirin Karimi, Mohammadreza Hosseinpour, Morteza Salimi, Maryam Bazrafshan, Mehdi Salimi, Amirhossein Parsa, Nader Sayadi, Mehrab Razeghian-Jahromi, Iman Zibaeenejad, Fatemeh Mohammadi, Seyyed Saeed Bazrafshan Drissi, Hamed |
author_facet | Akbari-khezrabadi, Ali Zibaeenezhad, Mohammad Javad Shojaeefard, Ehsan Naseri, Arzhang Mousavi, Shahrokh Sarejloo, Shirin Karimi, Mohammadreza Hosseinpour, Morteza Salimi, Maryam Bazrafshan, Mehdi Salimi, Amirhossein Parsa, Nader Sayadi, Mehrab Razeghian-Jahromi, Iman Zibaeenejad, Fatemeh Mohammadi, Seyyed Saeed Bazrafshan Drissi, Hamed |
author_sort | Akbari-khezrabadi, Ali |
collection | PubMed |
description | OBJECTIVES: This 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. SETTING: In this cross-sectional study, subjects were enrolled in 25 clinics in Shiraz. I.R. Iran between 2019 and 2021. PARTICIPANTS: A 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 MEASURES: Primary 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. RESULTS: HTN 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. CONCLUSION: HTN had a meaningful association with all the noted anthropometric indices. WHtR performed well as a predictor of HTN. |
format | Online Article Text |
id | pubmed-9685002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-96850022022-11-25 Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran Akbari-khezrabadi, Ali Zibaeenezhad, Mohammad Javad Shojaeefard, Ehsan Naseri, Arzhang Mousavi, Shahrokh Sarejloo, Shirin Karimi, Mohammadreza Hosseinpour, Morteza Salimi, Maryam Bazrafshan, Mehdi Salimi, Amirhossein Parsa, Nader Sayadi, Mehrab Razeghian-Jahromi, Iman Zibaeenejad, Fatemeh Mohammadi, Seyyed Saeed Bazrafshan Drissi, Hamed BMJ Open Cardiovascular Medicine OBJECTIVES: This 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. SETTING: In this cross-sectional study, subjects were enrolled in 25 clinics in Shiraz. I.R. Iran between 2019 and 2021. PARTICIPANTS: A 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 MEASURES: Primary 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. RESULTS: HTN 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. CONCLUSION: HTN had a meaningful association with all the noted anthropometric indices. WHtR performed well as a predictor of HTN. BMJ Publishing Group 2022-11-23 /pmc/articles/PMC9685002/ /pubmed/36418117 http://dx.doi.org/10.1136/bmjopen-2022-062328 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Cardiovascular Medicine Akbari-khezrabadi, Ali Zibaeenezhad, Mohammad Javad Shojaeefard, Ehsan Naseri, Arzhang Mousavi, Shahrokh Sarejloo, Shirin Karimi, Mohammadreza Hosseinpour, Morteza Salimi, Maryam Bazrafshan, Mehdi Salimi, Amirhossein Parsa, Nader Sayadi, Mehrab Razeghian-Jahromi, Iman Zibaeenejad, Fatemeh Mohammadi, Seyyed Saeed Bazrafshan Drissi, Hamed Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title | Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title_full | Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title_fullStr | Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title_full_unstemmed | Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title_short | Can anthropometric indices predict the chance of hypertension? A multicentre cross-sectional study in Iran |
title_sort | can anthropometric indices predict the chance of hypertension? a multicentre cross-sectional study in iran |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685002/ https://www.ncbi.nlm.nih.gov/pubmed/36418117 http://dx.doi.org/10.1136/bmjopen-2022-062328 |
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