PLoS ONE
Volume 9, Issue 1, 2014
Health-related quality of life and its correlates among chinese migrants in small-and medium-sized enterprises in two cities of guangdong (Article) (Open Access)
Lu L. ,
Zou G. ,
Zeng Z. ,
Han L. ,
Guo Y. ,
Ling L.
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a
Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China, Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China
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b
Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China, Institute for International Health and Development, Queen Margaret University, Edinburgh, United Kingdom
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c
Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China, Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China
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d
Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China, Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China
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e
Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China, Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China
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f
Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China, Sun Yat-sen Center for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China
Abstract
Objectives: To explore the relationship between health-related quality of life (HRQOL) status and associated factors among rural-to-urban migrants in China. Methods: A cross-sectional survey was conducted with 856 rural-to-urban migrants working at small-and medium-size enterprises (SMEs) in Shenzhen and Zhongshan City in 2012. Andersen's behavioral model was used as a theoretical framework to exam the relationships among factors affecting HRQOL. Analysis was performed using structural equation modeling (SEM). Results: Workers with statutory working hours, higher wages and less migrant experience had higher HRQOL scores. Need (contracting a disease in the past two weeks and perception of needing health service) had the greatest total effect on HRQOL (β =20.78), followed by enabling (labor contract, insurance purchase, income, physical examination during work and training) (β = 0.40), predisposing (age, family separation, education) (β = 0.22) and health practices and use of health service (physical exercise weekly, health check-up and use of protective equipments) (β =20.20). Conclusions: Priority should be given to satisfy the needs of migrant workers, and improve the enabling resources.
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Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894761098&doi=10.1371%2fjournal.pone.0083315&partnerID=40&md5=5b72c00cfc6c3f7a494946e03832d60e
DOI: 10.1371/journal.pone.0083315
ISSN: 19326203
Cited by: 13
Original Language: English