Prevalence and correlates of coronary heart disease: first population-based study in Lebanon

Vasc Health Risk Manag. 2016 Mar 17:12:75-84. doi: 10.2147/VHRM.S97252. eCollection 2016.

Abstract

Background: Lebanon is experiencing a growing epidemic of coronary heart diseases (CHDs), as most low- and middle-income countries currently are. However, this growth can be attenuated if effective preventive strategies are adopted.

Purpose: To provide the first national population-based prevalence of CHD and to describe the profile of Lebanese adults with prevalent CHD.

Methods: We carried out a cross-sectional study using a multistage cluster sample across Lebanon. We interviewed residents aged 40 years and older using a questionnaire that captured the presence of CHDs and their risk factors (RFs).

Results: Our study showed that 13.4% of the Lebanese population aged ≥40 years suffer from a prevalent CHD. CHD seemed to appear more prematurely than in developed countries, and males seemed to be more subject to CHD than females until a certain age. CHD was associated with older age, male sex, a lower economic situation, hypercholesterolemia, hypertension, having a family history of premature cardiovascular diseases, and suffering from diabetes. However, smoking and waist circumference did not seem to have an independent effect on CHD, but rather an effect mediated by biological RFs.

Conclusion: This is the first nationwide endeavor conducted in Lebanon to assess the prevalence of CHD. This study also confirms the relevance of the classic RFs of CHD and their applicability to the Lebanese population, thus allowing for prevention strategies.

Keywords: coronary heart disease; correlates; epidemiology; prevalence; risk factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age of Onset
  • Aged
  • Chi-Square Distribution
  • Coronary Disease / diagnosis
  • Coronary Disease / epidemiology*
  • Cross-Sectional Studies
  • Female
  • Health Surveys
  • Humans
  • Lebanon / epidemiology
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Prevalence
  • Risk Assessment
  • Risk Factors
  • Surveys and Questionnaires