제조업 근로자의 4년간 뇌심혈관계질환 발병위험도 변화의 영향 요인: GEE와 혼합효과 모형 분석

• 영문명: Factors Influencing Four-Year Changes in Cardio-cerebrovascular Disease Risk among Manufacturing Workers: Analyses Using GEE and Linear Mixed-Effects Models
• 발행기관: 한국직업건강간호학회
• 저자명: 정은숙
• 간행물 정보: 『한국직업건강간호학회지』제34권 제4호, 182~191쪽, 전체 10쪽
• 주제분류: 의약학 > 간호학
• 파일형태: PDF
• 발행일자: 2025.11.30

국문 초록

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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결 론 및 제 언

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키워드

Cardiovascular diseases cerebrovascular disorders Longitudinal studies Generalized estimating equations (GEE) Mixed-effects model 뇌심혈관계질환 종단연구 일반화추정방정식 혼합효과모형