@article{ref1,
title="Using the job burden-capital model of occupational stress to predict depression and well-being among electronic manufacturing service employees in China",
journal="International journal of environmental research and public health",
year="2016",
author="Wang, Chao and Li, Shuang and Li, Tao and Yu, Shanfa and Dai, Junming and Liu, Xiaoman and Zhu, Xiaojun and Ji, Yuqing and Wang, Jin",
volume="13",
number="8",
pages="e13080819-e13080819",
abstract="BACKGROUND: This study aimed to identify the association between occupational stress and depression-well-being by proposing a comprehensive and flexible job burden-capital model with its corresponding hypotheses. <br><br>METHODS: For this research, 1618 valid samples were gathered from the electronic manufacturing service industry in Hunan Province, China; self-rated questionnaires were administered to participants for data collection after obtaining their written consent. The proposed model was fitted and tested through structural equation model analysis. <br><br>RESULTS: Single-factor correlation analysis results indicated that coefficients between all items and dimensions had statistical significance. The final model demonstrated satisfactory global goodness of fit (CMIN/DF = 5.37, AGFI = 0.915, NNFI = 0.945, IFI = 0.952, RMSEA = 0.052). Both the measurement and structural models showed acceptable path loadings. Job burden and capital were directly associated with depression and well-being or indirectly related to them through personality. Multi-group structural equation model analyses indicated general applicability of the proposed model to basic features of such a population. Gender, marriage and education led to differences in the relation between occupational stress and health outcomes. <br><br>CONCLUSIONS: The job burden-capital model of occupational stress-depression and well-being was found to be more systematic and comprehensive than previous models.<p /> <p>Language: en</p>",
language="en",
issn="1661-7827",
doi="10.3390/ijerph13080819",
url="http://dx.doi.org/10.3390/ijerph13080819"
}