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Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran
BACKGROUND: This cohort study was conducted to examine the association between modifiable risk factors, including hypertension, smoking, physical activity, diabetes, cholesterol, and high-density lipoprotein with Framingham risk score in the prediction of 10-year-risk of cardiovascular diseases (CVD...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355031/ https://www.ncbi.nlm.nih.gov/pubmed/37464305 http://dx.doi.org/10.1186/s12872-023-03388-4 |
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author | Saki, Nader Babaahmadi-Rezaei, Hossein Rahimi, Zahra Raeisizadeh, Maedeh Jorfi, Fateme Seif, Faeze Cheraghian, Bahman Ghaderi-Zefrehi, Hossien Rezaei, Maryam |
author_facet | Saki, Nader Babaahmadi-Rezaei, Hossein Rahimi, Zahra Raeisizadeh, Maedeh Jorfi, Fateme Seif, Faeze Cheraghian, Bahman Ghaderi-Zefrehi, Hossien Rezaei, Maryam |
author_sort | Saki, Nader |
collection | PubMed |
description | BACKGROUND: This cohort study was conducted to examine the association between modifiable risk factors, including hypertension, smoking, physical activity, diabetes, cholesterol, and high-density lipoprotein with Framingham risk score in the prediction of 10-year-risk of cardiovascular diseases (CVD) between men and women in an Arab community of Southwest Iran, Hoveyzeh. MATERIALS AND METHODS: A total of 8,526 people aged 35–70 participated in this cohort study. Framingham was used to estimate the 10-year risk of CVD. Also, the linear regression models were used to assess the relationship between modifiable risk factors and the 10-year risk of CVD. Finally, the area under the receiver operating characteristic curve (AUC) was used to measure the ability of modifiable risk factors to predict the 10-year risk of CVD. RESULTS: Our results of linear regression models showed that hypertension, smoking, PA, diabetes, cholesterol, and HDL were independently associated with the CVD risk in men and women. Also, AUC analysis showed that hypertension and diabetes have the largest AUC in men 0.841; 0.778 and in women 0.776; 0.715, respectively. However, physical activity had the highest AUC just in women 0.717. CONCLUSION: Hypertension and diabetes in both gender and physical activity in women are the most important determinant for the prediction of CVD risk in Hoveyzeh. Our cohort study may be useful for adopting strategies to reduce CVD progression through lifestyle changes. |
format | Online Article Text |
id | pubmed-10355031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103550312023-07-20 Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran Saki, Nader Babaahmadi-Rezaei, Hossein Rahimi, Zahra Raeisizadeh, Maedeh Jorfi, Fateme Seif, Faeze Cheraghian, Bahman Ghaderi-Zefrehi, Hossien Rezaei, Maryam BMC Cardiovasc Disord Research BACKGROUND: This cohort study was conducted to examine the association between modifiable risk factors, including hypertension, smoking, physical activity, diabetes, cholesterol, and high-density lipoprotein with Framingham risk score in the prediction of 10-year-risk of cardiovascular diseases (CVD) between men and women in an Arab community of Southwest Iran, Hoveyzeh. MATERIALS AND METHODS: A total of 8,526 people aged 35–70 participated in this cohort study. Framingham was used to estimate the 10-year risk of CVD. Also, the linear regression models were used to assess the relationship between modifiable risk factors and the 10-year risk of CVD. Finally, the area under the receiver operating characteristic curve (AUC) was used to measure the ability of modifiable risk factors to predict the 10-year risk of CVD. RESULTS: Our results of linear regression models showed that hypertension, smoking, PA, diabetes, cholesterol, and HDL were independently associated with the CVD risk in men and women. Also, AUC analysis showed that hypertension and diabetes have the largest AUC in men 0.841; 0.778 and in women 0.776; 0.715, respectively. However, physical activity had the highest AUC just in women 0.717. CONCLUSION: Hypertension and diabetes in both gender and physical activity in women are the most important determinant for the prediction of CVD risk in Hoveyzeh. Our cohort study may be useful for adopting strategies to reduce CVD progression through lifestyle changes. BioMed Central 2023-07-18 /pmc/articles/PMC10355031/ /pubmed/37464305 http://dx.doi.org/10.1186/s12872-023-03388-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Saki, Nader Babaahmadi-Rezaei, Hossein Rahimi, Zahra Raeisizadeh, Maedeh Jorfi, Fateme Seif, Faeze Cheraghian, Bahman Ghaderi-Zefrehi, Hossien Rezaei, Maryam Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title | Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title_full | Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title_fullStr | Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title_full_unstemmed | Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title_short | Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran |
title_sort | impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in southwest iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355031/ https://www.ncbi.nlm.nih.gov/pubmed/37464305 http://dx.doi.org/10.1186/s12872-023-03388-4 |
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