Earticle

초록

영어

Purpose: This study analyzed four-year data (2021~2024) on cardiovascular disease risk among workers in a manufacturing factory, using generalized estimating equations (GEE) and linear mixed-effects models to examine temporal changes and identify factors influencing cardiovascular disease (CVD) risk. Methods: The study included 546 participants who underwent health examinations in March and September each year from 2021 to 2024. CVD risk was assessed using physical examination results. Data were analyzed with R 4.5.1 (R Foundation for Statistical Computing, Vienna, Austria) and SPSS/WIN 25.0. Results: Time-effect analysis of CVD risk components showed that systolic blood pressure significantly increased over time (β=.84, p<.001), while diastolic blood pressure significantly decreased (β=-.46, p=.004). Body mass index (BMI) also significantly increased (β=.11, p=.002). In the GEE logistic regression analysis, Male workers had 2.38 times higher odds of being in the high-risk group compared to females (OR=2.38, p=.009). Higher systolic blood pressure (OR=2.52, p<.001) and fasting blood glucose (OR=8.66, p<.001) were significant predictors of high CVD risk. Conclusion: When developing and implementing workplace interventions to reduce CVD risk among manufacturing workers, key predictors such as sex, blood pressure, and blood glucose should be considered for effective risk stratification and targeted prevention. This study is important because it examined both temporal changes and influencing factors of CVD risk using four-year longitudinal data.

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• 정은숙

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국직업건강간호학회지 [Korean Journal of Occup ational Health Nursing]

• 간기

  계간

• pISSN

  2287-2531

• eISSN

  2466-1856

• 수록기간

  1991~2026

• 십진분류

  KDC 512 DDC 610