Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 May 28;22(1):244.
doi: 10.1186/s12872-022-02683-w.

The prevalence and predictors of cardiovascular diseases in Kherameh cohort study: a population-based study on 10,663 people in southern Iran

Najibullah Baeradeh  1 , Masoumeh Ghoddusi Johari  2 , Leila Moftakhar  1 , Ramin Rezaeianzadeh  3 , Seyed Vahid Hosseini  4 , Abbas Rezaianzadeh  5
Affiliations

The prevalence and predictors of cardiovascular diseases in Kherameh cohort study: a population-based study on 10,663 people in southern Iran

Najibullah Baeradeh et al. BMC Cardiovasc Disord. .

Abstract

Background: The prevalence of cardiovascular disease (CVD) is rapidly increasing in the world. The present study aimed to assess the prevalence and Predictors factors of CVD based on the data of Kherameh cohort study.

Methods: The present cross-sectional, analytical study was done based on the data of Kherameh cohort study, as a branch of the Prospective Epidemiological Studies in Iran (PERSIAN). The participants consisted of 10,663 people aged 40-70 years. CVD was defined as suffering from ischemic heart diseases including heart failure, angina, and myocardial infarction. Logistic regression was used to model and predict the factors related to CVD. Additionally, the age-standardized prevalence rate (ASPR) of CVD was determined using the standard Asian population.

Results: The ASPR of CVD was 10.39% in males (95% CI 10.2-10.6%) and 10.21% in females (95% CI 9.9-10.4%). The prevalence of CVD was higher among the individuals with high blood pressure (58.3%, p < 0.001) as well as among those who smoked (28.3%, p = 0.018), used opium (18.2%, p = 0.039), had high triglyceride levels (31.6%, p = 0.011), were overweight and obese (66.2%, p < 0.001), were unmarried (83.9%, p < 0.001), were illiterate (64.2%, p < 0.001), were unemployed (60.9%, p < 0.001), and suffered from diabetes mellitus (28.1%, p < 0.001). The results of multivariable logistic regression analysis showed that the odds of having CVD was 2.25 times higher among the individuals aged 50-60 years compared to those aged 40-50 years, 1.66 folds higher in opium users than in non-opium users, 1.37 times higher in smokers compared to non-smokers, 2.03 folds higher in regular users of sleeping pills than in non-consumers, and 4.02 times higher in hypertensive individuals than in normotensive ones.

Conclusion: The prevalence of CVD was found to be relatively higher in Kherameh (southern Iran) compared to other places. Moreover, old age, obesity, taking sleeping pills, hypertension, drug use, and chronic obstructive pulmonary disease had the highest odds ratios of CVD.

Keywords: Cardiovascular disease; Kherameh cohort; Predictors; Prevalence.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of the participants’ enrolment into the research
Fig. 2
Fig. 2
Age-standardized prevalence rate based on different types of CVD, adjusted to the standard Asian population. Note: The error bars represent the 95% CI
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Zinat Motlagh SF, Chaman R, Ghafari SR, Parisay Z, Golabi MR, Eslami AA, et al. Knowledge, treatment, control, and risk factors for hypertension among adults in Southern Iran. Int J Hypertens. 2015;2015. - PMC - PubMed
    1. Noncommunicable diseases Fact Sheet. november 2021.World Health Organization. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.
    1. Mittal BV, Singh AK. Hypertension in the developing world: challenges and opportunities. Am J Kidney Dis. 2010;55(3):590–598. doi: 10.1053/j.ajkd.2009.06.044. - DOI - PubMed
    1. Gaziano TA, Bitton A, Anand S, Abrahams-Gessel S, Murphy A. Growing epidemic of coronary heart disease in low-and middle-income countries. Curr Probl Cardiol. 2010;35(2):72–115. doi: 10.1016/j.cpcardiol.2009.10.002. - DOI - PMC - PubMed
    1. Buettner R, Schunter M, editors. Efficient machine learning based detection of heart disease. In: 2019 IEEE international conference on E-health networking, application & services (HealthCom); 2019: IEEE.