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Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study

BACKGROUND: Globally, most people die from cardiovascular diseases. We aimed to compare predictive ability of six obesity indices, including body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, and abdominal volume index, to identify people at risk of fata...

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Autores principales: Motamed, Nima, Roozafzai, Farzin, Khoonsari, Mahmood Reza, Malek, Mojtaba, Mahdavi, Alborz, Maadi, Mansooreh, Ahmadi, Maral, Karbalaie Niya, Mohammad Hadi, Babaei, Mohammad Reza, Safarnezhad Tameshkel, Fahimeh, Faraji, Amir Hossein, Nikkhah, Mehdi, Ebrahimi, Ramin, Ajdarkosh, Hossein, Zamani, Farhad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463460/
https://www.ncbi.nlm.nih.gov/pubmed/36097515
http://dx.doi.org/10.1016/j.ijcrp.2022.200142
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author Motamed, Nima
Roozafzai, Farzin
Khoonsari, Mahmood Reza
Malek, Mojtaba
Mahdavi, Alborz
Maadi, Mansooreh
Ahmadi, Maral
Karbalaie Niya, Mohammad Hadi
Babaei, Mohammad Reza
Safarnezhad Tameshkel, Fahimeh
Faraji, Amir Hossein
Nikkhah, Mehdi
Ebrahimi, Ramin
Ajdarkosh, Hossein
Zamani, Farhad
author_facet Motamed, Nima
Roozafzai, Farzin
Khoonsari, Mahmood Reza
Malek, Mojtaba
Mahdavi, Alborz
Maadi, Mansooreh
Ahmadi, Maral
Karbalaie Niya, Mohammad Hadi
Babaei, Mohammad Reza
Safarnezhad Tameshkel, Fahimeh
Faraji, Amir Hossein
Nikkhah, Mehdi
Ebrahimi, Ramin
Ajdarkosh, Hossein
Zamani, Farhad
author_sort Motamed, Nima
collection PubMed
description BACKGROUND: Globally, most people die from cardiovascular diseases. We aimed to compare predictive ability of six obesity indices, including body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, and abdominal volume index, to identify people at risk of fatal and non-fatal cardiovascular events, in a cohort study. METHODS: We studied 5147 participants in a baseline population-based cohort study conducted in northern Iran. The obesity measures were calculated in enrollment phase (2009–2010), and the cardiovascular events were recorded during a 7-year follow-up phase (2010–2017). Receiver operating characteristic (ROC) analyses and Cox hazard regression models were applied, considering the obesity measures as predictors, and the 7-year cardiovascular events as outcomes. Multiple Cox models were adjusted by age, prior history of cardiovascular diseases, chronic kidney diseases, insulin resistance, diabetes mellitus, dyslipidemia, hypertension, and smoking status. RESULTS: Conicity index showed the highest performance in predicting 7-year fatal and non-fatal cardiovascular events with areas under the ROC curve of 0.77 [95% confidence interval: 0.71–0.82], and 0.63 [0.59–0.68] in men, and 0.80 [0.74–0.87], and 0.65 [0.60–0.71] in women, respectively. In multiple Cox models, the obesity measures had no significant associations with cardiovascular events in women. In men, only waist-to-height ratio was independently associated with 7-year non-fatal cardiovascular events (hazard ratio: 1.19 [95% confidence interval: 1.01–1.38]). CONCLUSIONS: Although waist-to-height ratio had an independent association with 7-year non-fatal cardiovascular events in men, conicity index showed the best ability to predict 7-year fatal and non-fatal cardiovascular events in our study.
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spelling pubmed-94634602022-09-11 Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study Motamed, Nima Roozafzai, Farzin Khoonsari, Mahmood Reza Malek, Mojtaba Mahdavi, Alborz Maadi, Mansooreh Ahmadi, Maral Karbalaie Niya, Mohammad Hadi Babaei, Mohammad Reza Safarnezhad Tameshkel, Fahimeh Faraji, Amir Hossein Nikkhah, Mehdi Ebrahimi, Ramin Ajdarkosh, Hossein Zamani, Farhad Int J Cardiol Cardiovasc Risk Prev Research Paper BACKGROUND: Globally, most people die from cardiovascular diseases. We aimed to compare predictive ability of six obesity indices, including body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, and abdominal volume index, to identify people at risk of fatal and non-fatal cardiovascular events, in a cohort study. METHODS: We studied 5147 participants in a baseline population-based cohort study conducted in northern Iran. The obesity measures were calculated in enrollment phase (2009–2010), and the cardiovascular events were recorded during a 7-year follow-up phase (2010–2017). Receiver operating characteristic (ROC) analyses and Cox hazard regression models were applied, considering the obesity measures as predictors, and the 7-year cardiovascular events as outcomes. Multiple Cox models were adjusted by age, prior history of cardiovascular diseases, chronic kidney diseases, insulin resistance, diabetes mellitus, dyslipidemia, hypertension, and smoking status. RESULTS: Conicity index showed the highest performance in predicting 7-year fatal and non-fatal cardiovascular events with areas under the ROC curve of 0.77 [95% confidence interval: 0.71–0.82], and 0.63 [0.59–0.68] in men, and 0.80 [0.74–0.87], and 0.65 [0.60–0.71] in women, respectively. In multiple Cox models, the obesity measures had no significant associations with cardiovascular events in women. In men, only waist-to-height ratio was independently associated with 7-year non-fatal cardiovascular events (hazard ratio: 1.19 [95% confidence interval: 1.01–1.38]). CONCLUSIONS: Although waist-to-height ratio had an independent association with 7-year non-fatal cardiovascular events in men, conicity index showed the best ability to predict 7-year fatal and non-fatal cardiovascular events in our study. Elsevier 2022-07-01 /pmc/articles/PMC9463460/ /pubmed/36097515 http://dx.doi.org/10.1016/j.ijcrp.2022.200142 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Motamed, Nima
Roozafzai, Farzin
Khoonsari, Mahmood Reza
Malek, Mojtaba
Mahdavi, Alborz
Maadi, Mansooreh
Ahmadi, Maral
Karbalaie Niya, Mohammad Hadi
Babaei, Mohammad Reza
Safarnezhad Tameshkel, Fahimeh
Faraji, Amir Hossein
Nikkhah, Mehdi
Ebrahimi, Ramin
Ajdarkosh, Hossein
Zamani, Farhad
Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title_full Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title_fullStr Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title_full_unstemmed Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title_short Predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: A population-based cohort study
title_sort predictive ability of six obesity measures to identify 7-year fatal and non-fatal cardiovascular events: a population-based cohort study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463460/
https://www.ncbi.nlm.nih.gov/pubmed/36097515
http://dx.doi.org/10.1016/j.ijcrp.2022.200142
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