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Patterns among factors associated with myocardial infarction: chi-squared automatic interaction detection tree and

Esra Bayrakçeken1, Süheyla Yarali2, Uğur Ercan3

  • 1Department of Medical Services and Techniques, Vocational School of Health Services, Ataturk University, Erzurum, Türkiye.

BMC Public Health
|January 24, 2025
PubMed

Insights

Myocardial infarction (MI) risk factors in Türkiye include hyperlipidemia, hypertension, diabetes, and chronic diseases. Prevention strategies should focus on education and healthy lifestyle behaviors to reduce MI incidence.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Myocardial infarction (MI) remains a major cause of cardiovascular morbidity despite declining mortality rates.
  • This study investigates risk factors for MI in the Turkish population.

Purpose of the Study:

  • To identify key risk factors associated with myocardial infarction (MI) in Türkiye.
  • To inform public health strategies for MI prevention.

Main Methods:

  • Utilized microdata from the 2019 Türkiye Health Survey.
  • Employed binary logistic regression, Chi-Square, and CHAID analyses to determine risk factors.

Main Results:

  • Identified hyperlipidemia, hypertension, diabetes, chronic disease, male gender, older age, single marital status, lower education, and unemployment as risk factors for MI.
  • Factors like female gender, higher education, marriage, employment, moderate physical activity, and moderate alcohol consumption were associated with reduced MI risk.
  • Elevated hyperlipidemia increased MI probability by 4.6%; hypertension, diabetes, and depression further elevated risk.

Conclusions:

  • Public health initiatives should prioritize enhancing general education and health literacy.
  • Preventive strategies must focus on improving lifestyle behaviors related to diabetes, hypertension, and hyperlipidemia to mitigate MI risk.
Abstract

Keywords:
Binary logistic regression TürkiyeCHAIDCardiovascularMyocardial infarction

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