Risk prediction for Korean shift workers in Y power plant to prevent cardiovascular disease

Abstract

The objective of this study was to perform risk prediction for Korean shift workers in Y power plant to prevent cardiovascular disease. Risks were evaluated for two groups of 100 people according to work type (day vs. night) and health condition levels were compared by variables. Clinical examinations, questionnaires, and interviews were used to enhance data reliability. Risk prediction consisted of three stages by reflecting on risk factors. There was a statistically significant difference in triglyceride (TG) levels between day and night workers (37 mg/dL vs. 166 mg/dL, p<0.05). Of the other factors, poor body activity had the highest percentage with 62%. In the correlation analysis, total cholesterol (TC) and low density lipoprotein (LDL) (r=0.883, p<0.01), length of work and age (r=0.872, p<0.01), weight and body mass index (BMI) (r=0.825, p<0.01), and systolic blood pressure (SBP) and diastolic blood pressure (DBP) (r=0.795, p<0.01) were positively correlated. TG and high density lipoprotein HDL (r=-0.409, p<0.01), BMI and HDL (r=-0.371, p<0.01), and weight and HDL (r=-0.276, p<0.01) were negatively correlated. Although there were few differences in the data between the day and night workers, these results do suggest that appropriate approaches to reduce their risk factors were required to improve their health.