Yan Liu1, Lei Liu, Wei Sun, Guang-Liang Shan, Zeng-Zhen Wang. 1. Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China.
Abstract
OBJECTIVE: The aim of the study was to understand the quality of life and the related factors of farmer workers in the countryside of Hubei province. METHODS: Purposive sampling was used to select 529 farmer workers and another 326 government workers were served as controls. 'Group investigation' method was used in this study. t-test was used to compare the quality of life among farmer workers and the Chinese norm. SF-36 was used to measure the quality of life. Generalized linear regression model (GLM) and structural equation model (SEM) were applied to test the related factors. RESULTS: Quality of life among farmer workers in Hubei was significantly different from the norm of residents in Hangzhou. The quality of life among migrant workers was significantly lower than the government staff (P(RP) < 0.05, P(BP) < 0.05, P(VT) < 0.05) after controlling the confounding factors. Factors as age (B = -0.33), sex (B = -0.07), marital status (B = -0.10), sleeping habits (B = -0.16), fatigue (B = -0.12), life style (B = -0.05) and social status (B = 0.93) etc. were related to the quality of life. CONCLUSION: The quality of life among farmer workers was poor, and mainly affected by age, sex, marital status, sleeping habits, fatigue, lifestyle and social status. It is important to reduce the work load and making the work status and life style reasonable to better the quality of life among the farmer workers.
OBJECTIVE: The aim of the study was to understand the quality of life and the related factors of farmer workers in the countryside of Hubei province. METHODS: Purposive sampling was used to select 529 farmer workers and another 326 government workers were served as controls. 'Group investigation' method was used in this study. t-test was used to compare the quality of life among farmer workers and the Chinese norm. SF-36 was used to measure the quality of life. Generalized linear regression model (GLM) and structural equation model (SEM) were applied to test the related factors. RESULTS: Quality of life among farmer workers in Hubei was significantly different from the norm of residents in Hangzhou. The quality of life among migrant workers was significantly lower than the government staff (P(RP) < 0.05, P(BP) < 0.05, P(VT) < 0.05) after controlling the confounding factors. Factors as age (B = -0.33), sex (B = -0.07), marital status (B = -0.10), sleeping habits (B = -0.16), fatigue (B = -0.12), life style (B = -0.05) and social status (B = 0.93) etc. were related to the quality of life. CONCLUSION: The quality of life among farmer workers was poor, and mainly affected by age, sex, marital status, sleeping habits, fatigue, lifestyle and social status. It is important to reduce the work load and making the work status and life style reasonable to better the quality of life among the farmer workers.
Authors: Chu-Hong Lu; Zhong-Cheng Luo; Jia-Ji Wang; Jian-Hu Zhong; Pei-Xi Wang Journal: Int J Environ Res Public Health Date: 2015-02-16 Impact factor: 3.390