Abstract
Background
Rural–urban female migrant workers living in factories are a special majority group in the city of Shenzhen, China. These
female workers came from different provinces of mainland China. The health-related issues and quality of life (QOL) of this
migrator have become serious public health and social problems, which have not been well characterized. This study aimed to
explore the QOL and related factors of rural–urban female migrant workers living in factories in China.
female workers came from different provinces of mainland China. The health-related issues and quality of life (QOL) of this
migrator have become serious public health and social problems, which have not been well characterized. This study aimed to
explore the QOL and related factors of rural–urban female migrant workers living in factories in China.
Results
Subjects had an average of 2.53 ± 1.93 (median = 2.00, quartile interval = 3.00) diseases. The two-week Morbidity Rate was
21.9%, and only 14.0% of the subjects were satisfied with their current job. Compared to Chinese female norms, the participants
scored lower in seven concepts domains of SF-36 (role physical, bodily pain, general health, vitality, social functioning,
role-emotional and mental health). Multiple stepwise linear regression analysis showed that after adjustment for age, education
level, work duration and job satisfaction, two-week Morbidity Rate, anemia symptoms and muscular soreness proved to be significant
predictors for all the 7 domains (except for physical functioning). Digestive system disease was a significant predictor in
5 out of 7 domains, while urinary system disease and gynecological disease were significant predictors in 4 out of 7 domains.
21.9%, and only 14.0% of the subjects were satisfied with their current job. Compared to Chinese female norms, the participants
scored lower in seven concepts domains of SF-36 (role physical, bodily pain, general health, vitality, social functioning,
role-emotional and mental health). Multiple stepwise linear regression analysis showed that after adjustment for age, education
level, work duration and job satisfaction, two-week Morbidity Rate, anemia symptoms and muscular soreness proved to be significant
predictors for all the 7 domains (except for physical functioning). Digestive system disease was a significant predictor in
5 out of 7 domains, while urinary system disease and gynecological disease were significant predictors in 4 out of 7 domains.
- Content Type Journal Article
- Pages 1-9
- DOI 10.1007/s11136-011-9950-3
- Authors
- Chun-Yan Zhu, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Jia-Ji Wang, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Xian-Hua Fu, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Zhi-Heng Zhou, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Jing Zhao, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Cai-Xia Wang, Department of Prevention Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 510182 People’s Republic of China
- Journal Quality of Life Research
- Online ISSN 1573-2649
- Print ISSN 0962-9343