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. METHODS: In total, 3,622 rural-urban female migrant workers completed the Health Survey Short Form (SF-36). Sociodemographic characteristics, health status and job satisfaction during the past 6 months were also collected. 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. CONCLUSIONS: In general, QOL in rural-urban female migrant workers was lower than Chinese female norms. Improving their job satisfaction and controlling job-related disease appears to be critical to improving their QOL.
RCT Entities:
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. METHODS: In total, 3,622 rural-urban female migrant workers completed the Health Survey Short Form (SF-36). Sociodemographic characteristics, health status and job satisfaction during the past 6 months were also collected. 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. CONCLUSIONS: In general, QOL in rural-urban female migrant workers was lower than Chinese female norms. Improving their job satisfaction and controlling job-related disease appears to be critical to improving their QOL.
Authors: Wilma M Hopman; Claudie Berger; Lawrence Joseph; Susan I Barr; Yongjun Gao; Jerilynn C Prior; Suzette Poliquin; Tanveer Towheed; Tassos Anastassiades Journal: Qual Life Res Date: 2007-10-24 Impact factor: 4.147
Authors: Carol Ewing Garber; Mary L Greaney; Deborah Riebe; Claudio R Nigg; Patricia A Burbank; Phillip G Clark Journal: BMC Geriatr Date: 2010-02-03 Impact factor: 3.921
Authors: Pekka Martikainen; Heta Moustgaard; Michael Murphy; Elina K Einiö; Seppo Koskinen; Tuija Martelin; Anja Noro Journal: Gerontologist Date: 2009-03-19