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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
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.
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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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