Factors associated with health-related quality of life in Korean older workers.
10.1186/s40557-015-0077-9
- Author:
Sujin HONG
1
;
Harin JEONG
;
Yunjeong HEO
;
Hosun CHUN
;
Jongtae PARK
;
Daeseong KIM
Author Information
1. Department of Occupational Medicine, Korea University Hosipital, 123, Jeokgeum-ro, Ansan, Gyeonggido Republic of Korea. ku_oem2012@naver.com
- Publication Type:Original Article
- Keywords:
Older workers;
Health-related quality of life;
EQ-5D;
KNHANES
- MeSH:
Education;
Employment;
Family Characteristics;
Female;
Humans;
Korea;
Logistic Models;
Male;
Musculoskeletal Diseases;
Musculoskeletal Pain;
Nutrition Surveys;
Occupations;
Osteoarthritis;
Prevalence;
Quality of Life*;
Salaries and Fringe Benefits;
Smoke;
Smoking
- From:Annals of Occupational and Environmental Medicine
2015;27(1):25-
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVES: The prevalence of aged individuals in the Korean workforce continues to increase. This research determined the health and working conditions of Korean older wage workers and confirmed the effects of factors on the health-related quality of life of Korean older workers. METHODS: Of the 25,534 persons surveyed in the fifth Korea National Health and Nutrition Examination Survey, 1368 older (>55 years of age) wage workers without missing variables were selected. Their general characteristics, health status (cardiovascular disease, musculoskeletal disease, and mental health), working conditions (type of occupation, employment status, full- or part-time work, weekly average working hours, and shift work), and health-related quality of life assessed by the EQ-5D questionnaire were examined. RESULTS: The mean values of the EQ-5D index of the male and female older workers were 0.956 +/- 0.087 and 0.917 +/- 0.124, respectively (p < 0.001). The factors that caused statistically significant differences in the EQ-5D index for all subjects were age, education, household income, cerebro-cardiovascular event, osteoarthritis, musculoskeletal pain, stress, occupation type, employment status, and working hours. In logistic regression analysis, the factors that associated with perceived problems in each EQ-5D dimensions were age, musculoskeletal pain, stress, diabetes, smoking, occupation type, employment status, and working hours. CONCLUSIONS: To eventually raise the quality of life of older workers through health maintenance and management, it is necessary to manage related factors that include of musculoskeletal pain and diseases, stress, diabetes, smoking, occupation, employment status, and working hours.
