운항승무원의 생활습관과 건강검진 결과가 병가에 미치는 영향
Impact of Lifestyle and Health Examination Results on Sick Leave in Commercial Airline Pilots
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Purpose: This study aims to compare the general characteristics, life-style, health examination results, and sick leave days by airmen medical examination decision and to investigate factors affecting sick leave days. Methods: We obtained data from 2,361 Korean pilots who worked for a commercial airline. Comparison of the results by airmen medical examination decision (Fit or waver) was conducted using the x2 test or Fisher’s exact test. Factors affecting sick leave days were analyzed using logistic regression. Results: Age, smoking history, blood pressure, obesity, and fasting blood sugar level were significantly different between the Fit and Waver groups. Rate of using sick leave long-term was higher in the Waver than in the Fit. Sick leave days were significantly associated with age, habits of drinking, and smoking in the Fit group. Conclusion: This study demonstrated the health risk factors that affect the number of sick leave days. By providing basic data for the health care of workers, it is expected to be applicable to the provision of health promotion and disease prevention programs for workers.
Abstract
Purpose: This study aims to compare the general characteristics, life-style, health examination results, and sick leave days by airmen medical examination decision and to investigate factors affecting sick leave days. Methods: We obtained data from 2,361 Korean pilots who worked for a commercial airline. Comparison of the results by airmen medical examination decision (Fit or waver) was conducted using the x2 test or Fisher’s exact test. Factors affecting sick leave days were analyzed using logistic regression. Results: Age, smoking history, blood pressure, obesity, and fasting blood sugar level were significantly different between the Fit and Waver groups. Rate of using sick leave long-term was higher in the Waver than in the Fit. Sick leave days were significantly associated with age, habits of drinking, and smoking in the Fit group. Conclusion: This study demonstrated the health risk factors that affect the number of sick leave days. By providing basic data for the health care of workers, it is expected to be applicable to the provision of health promotion and disease prevention programs for workers.
참고문헌 (28)
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