The incidence of coronary heart disease and the population attributable fraction of its risk factors in Tehran: A 10-year population-based cohort study

68Citations
Citations of this article
66Readers
Mendeley users who have this article in their library.

Abstract

Background: Data on incidence of coronary heart disease (CHD) is scarce in the Middle East and little is known about the contribution of known risk factors in this area. Methods: The incidence of CHD and the effect of modifiable risk factors were explored in 2889 men and 3803 women aged 30-74 years in the population based cohort of the Tehran Lipid and Glucose Study, during 1999-2010. Average population attributable fraction (aPAF) was calculated for any risk factor using direct method based on regression model. Results: The crude incidence rate in men was about twice that in women (11.9 vs. 6.5 per 1000 person-years). The aPAF of hypertension, diabetes, high total cholesterol and low-HDL cholesterol was 9.4%, 6.7%, 7.3% and 6.1% in men and 17%, 16.6%, 12% and 4.6% in women respectively. This index was 7.0% for smoking in men. High risk age contributed to 42% and 22% of risk in men and women respectively. Conclusions: The incidence in this population of Iran was comparable to those in the US in the seventies. Well known modifiable risk factors explained about 40% and 50% of CHD burden in men and women respectively. Aging, as a reflection of unmeasured or unknown risk factors, bears the most burden of CHD, especially in men; indicating more age-related health care is required. © 2014 Khalili et al.

Cite

CITATION STYLE

APA

Khalili, D., Sheikholeslami, F. H., Bakhtiyari, M., Azizi, F., Momenan, A. A., & Hadaegh, F. (2014). The incidence of coronary heart disease and the population attributable fraction of its risk factors in Tehran: A 10-year population-based cohort study. PLoS ONE, 9(8). https://doi.org/10.1371/journal.pone.0105804

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free