Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran

• Published in: BMC cardiovascular disorders Vol. 23; no. 1; p. 358
• Main Authors: Saki, Nader, Babaahmadi-Rezaei, Hossein, Rahimi, Zahra, Raeisizadeh, Maedeh, Jorfi, Fateme, Seif, Faeze, Cheraghian, Bahman, Ghaderi-Zefrehi, Hossien, Rezaei, Maryam
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18-07-2023; BioMed Central; BMC
• Subjects: Age; Blood pressure; Body mass index; Cardiovascular disease; Cardiovascular diseases; Cardiovascular Diseases - diagnosis; Cardiovascular Diseases - epidemiology; Cholesterol; Cholesterol, HDL; Cohort analysis; Cohort Studies; Complications and side effects; Diabetes; Diabetes mellitus; Diabetes Mellitus - diagnosis; Diabetes Mellitus - epidemiology; Female; Framingham risk score; Gender; Health aspects; Heart; High density lipoprotein; Hoveyzeh; Humans; Hypertension; Hypertension - diagnosis; Hypertension - epidemiology; Iran - epidemiology; Male; Measurement; Metabolic disorders; Mortality; Physical activity; Population; Predictions; Prevention; Questionnaires; Regression analysis; Risk Assessment - methods; Risk Factors; Smoking; Variables; Vein & artery diseases; Iran; Cardiovascular disease; Framingham risk score; Hoveyzeh
• ISSN: 1471-2261; 1471-2261
• DOI: 10.1186/s12872-023-03388-4

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.
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.
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.
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.