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2 "Structural equation model"
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Research Article
The effects of individual, occupational, and supportive factors on successful return to work using a structural equation model
Jongin Lee, Min Choi, Sung Hye Park, Hyoung-Ryoul Kim, Hye-Eun Lee
Ann Occup Environ Med 2015;27:21.   Published online August 28, 2015
DOI: https://doi.org/10.1186/s40557-015-0070-3
AbstractAbstract PDFPubReaderePub
Objectives

We aimed to ascertain the relationship between several factors and successful return to work using a structural equation model.

Methods

We used original data from the Panel Study of Worker’s Compensation Insurance, and defined four latent variables as occupational, individual, supportive, and successful return to work. Each latent variable was defined by its observed variables, including age, workplace size, and quality of the medical services. A theoretical model in which all latent variables had a relationship was suggested. After examining the model, we modified some pathways that were not significant or did not fit, and selected a final structural equation model that had the highest goodness of fit.

Results

All three latent variables (occupational, individual, and supportive) showed statistically significant relationships with successful return to work. The occupational and supportive factors had relationships with each other, but there was no relationship between individual and the other factors. Nearly all observed variables had significance with their latent variables. The correlation coefficients from the latent variables to successful return to work were statistically significant and the indices for goodness of fit were satisfactory. In particular, four observed variables—handicap level, duration of convalescence, working duration, and support from the company—showed construct validities with high correlation coefficients.

Conclusions

All factors that we examined are related to successful return to work. We should focus on the supportive factor the most because its variables are modifiable to promote a return to work by those injured in their workplace.


Citations

Citations to this article as recorded by  
  • Children’s health affected by parent’s behavioral characteristics: a review
    Sung Eun Kim, Jongin Lee
    Clinical and Experimental Pediatrics.2024; 67(5): 232.     CrossRef
  • Effect of professional certification on employees’ return-to-work rate after occupational injuries in Korea: focusing on vulnerable groups
    Suk Won Bae
    Environmental Health and Preventive Medicine.2021;[Epub]     CrossRef
  • The inhabitants’ dual interest preferences and their impact on pro-environmental behavior in China
    Hongdou Lei, Imran Khan, Shiping Li
    Environmental Science and Pollution Research.2020; 27(11): 12308.     CrossRef
  • Sex Differences in Factors Associated with General Life Satisfaction among Occupationally Injured Workers in Korea: A Panel Analysis of the 2013–2017 Panel Study of Worker’s Compensation Insurance
    Jin-Won Noh, Kyoung-Beom Kim, Jooyoung Cheon, Yejin Lee, Young Dae Kwon
    International Journal of Environmental Research and Public Health.2019; 16(22): 4397.     CrossRef
  • Changes in Income after an Industrial Accident According to Industry and Return-to-Work Status
    Suk Won Bae, Sarah Soyeon Oh, Wha Me Park, Jaehoon Roh, Jong-Uk Won
    International Journal of Environmental Research and Public Health.2019; 16(14): 2603.     CrossRef
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Original Article
Analysis of the Influence of Job Stress and Psychosocial Factors on Self Perceived Fatigue in White Collar Male Workers Using the Structural Equation Model
Seung Pil Park, Dong Bae Lee, In Sun Kwon, Young Chae Cho
Korean Journal of Occupational and Environmental Medicine 2010;22(1):48-57.   Published online March 31, 2010
DOI: https://doi.org/10.35371/kjoem.2010.22.1.48
AbstractAbstract PDF
OBJECTIVES
This study was performed to determine the self-perceived fatigue and its association with job stress and psychosocial factors among white collar male workers.
METHODS
The self-administered questionnaires were given to 872 workers employed in 42 work places located in Daejeon City and Chungnam Province during the period from February 1st to April 30th, 2009. The questionnaire surveys included socio-demographic characteristics, job-related characteristics, health-related behaviors, a Job Content Questionnaire (JCQ), psychosocial factors (type A behavior pattern, locus of control, self-esteem) and the Multidimensional Fatigue Scale (MFS).
RESULTS
Concerning the correlation of self-perceived fatigue with various factors, while the level of self-perceived fatigue was positively correlated with the job demands, a type A behavior pattern and self-esteem, it was negatively correlated with job autonomy and supervisor support. With the analysis of the covariance structure, JCQ (job demand, job autonomy, supervisor support and coworker support) had more of an influence on the level of self-perceived fatigue than the psychosocial factors (type A behavior pattern, locus of control, self-esteem). The inter-relational effects were that the higher the JCQ and psychosocial factors, the higher the level of self-perceived fatigue.
CONCLUSIONS
The study results indicated that the level of self-perceived fatigue was more influenced by the JCQ than the psychosocial factors. Thus, an effective strategy for fatigue reduction among workers requires additional programs that will focus on innovated job specifications and managed psychosocial factors.

Citations

Citations to this article as recorded by  
  • The Effects of Optometrist’s Job Satisfaction on Fatigue Symptoms
    Hye-Kyung Hwang, Jeong-Yun Lee
    Journal of Korean Ophthalmic Optics Society.2022; 27(3): 153.     CrossRef
  • Convergence Relationship between Occupational Stress and Fatigue Symptoms among Blue Collar Workers in Manufacturing Plants
    Eun-Sook Shin
    Journal of the Korea Convergence Society.2016; 7(1): 57.     CrossRef
  • A Study on the Relationship between Fatigue Level, Job Stress and Quality of Life for Workers
    Yunyoung Kim, Hye-Sun Hyun, Jong Hyang Yoo
    Korean Journal of Occupational Health Nursing.2015; 24(4): 372.     CrossRef
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  • 3 Crossref
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