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KMID : 1033320230130020089
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Global Health & Nursing
2023 Volume.13 No. 2 p.89 ~ p.100
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Gender-specific Risk Factors for Cardiovascular Disease in Korean Adults: Based on Korean Genome and Epidemiology Study (KoGES)
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Lee Yoon-Ju
Lee Ye-Sul
Jeong Hye-Sun
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Abstract
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Purpose: This study aimed to determine the cumulative incidence of cardiovascular disease in Korean adults adults while specifically examining the proportional risk influenced by gender.
Methods: This study adopted a longitudinal design and utilized secondary data extracted from the Korea Genomics and Epidemiology Study (KoGES). Data from 7,988 adults followed every two years from 2001 to 2014 were used for this study. The outcome variable was cardiovascular disease, and the predictive variables were age, total cholesterol, HDL-C, triglyceride, blood pressure, waist circumference, diabetes, and current smoking status. Statistical analysis, including descriptive statistics, difference tests, and Cox proportional hazards regression, was performed using IBM SPSS statistics version 24.
Results: During the observation period, the incidence of cardiovascular disease was 327 men and 359 women. The factors that increased the risk of cardiovascular disease in men were diabetes (HR=1.91, 95% CI: 1.35~2.72), stage 2 hypertension (HR=1.69, 95% CI: 1.13~2.52), and stage 1 hypertension (HR=1.57, 95% CI: 1.15~2.13), waist circumference (HR=1.54, 95% CI: 1.21~1.97), and total cholesterol 200~ 239mg/dL (HR=1.38, 95% CI: 1.08~1.76). Factors with a high risk of cardiovascular disease in women were stage 2 hypertension (HR=2.69, 95% CI: 1.88~3.85), diabetes (HR=2.19, 95% CI: 1.48~3.24), and elevated blood pressure (HR=2.13, 95% CI: 1.41~3.21), and smoking (HR=1.59, 95% CI: 1.01~2.51).
Conclusion: To prevent cardiovascular disease, the management of diabetes and abdominal obesity should be prioritized. Additionally, managing dyslipidemia among men and implementing smoking cessation interventions for women who smoke should be included in prevention strategies.
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KEYWORD
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Cardiovascular diseases, Diabetes mellitus, Waist circumference, Dyslipidemias, Smoking
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