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Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company

BACKGROUND: Mental illness is known to be caused by genetic, biological, and environmental risk factors. Although previous studies have established the link between mental illness and job stress, most of them are limited to major depression disorder. Therefore, this study examined the relationship b...

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Autores principales: Oh, Hyeonchoel, Kim, Kihun, Ha, Taewoong, Kim, Jungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Occupational & Environmental Medicine 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406669/
https://www.ncbi.nlm.nih.gov/pubmed/32802341
http://dx.doi.org/10.35371/aoem.2020.32.e25
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author Oh, Hyeonchoel
Kim, Kihun
Ha, Taewoong
Kim, Jungwon
author_facet Oh, Hyeonchoel
Kim, Kihun
Ha, Taewoong
Kim, Jungwon
author_sort Oh, Hyeonchoel
collection PubMed
description BACKGROUND: Mental illness is known to be caused by genetic, biological, and environmental risk factors. Although previous studies have established the link between mental illness and job stress, most of them are limited to major depression disorder. Therefore, this study examined the relationship between job stress and bipolar spectrum disorder (BSD). METHODS: This is a cross-sectional study based on a survey conducted in April 2017 at an electronic parts manufacturing company in Busan. In a total of 441 workers, the degree of BSD was identified using the Korean version of the Mood Disorder Questionnaire, and the degree of job stress was identified using the Korean Occupational Stress Scale Short Form. This study also identified general characteristics of workers and job-related factors. The χ(2) test and Fisher's exact test was conducted to determine the differences among the variables, based on BSD. Multiple logistic regression analysis was conducted to determine the influence of independent variables on BSD. RESULTS: Cross-analysis showed significant differences between the BSD high-risk and low-risk groups regarding age, sex, occupation, smoking, problem drinking, job stress total score, occupational climate, and major depression disorder symptom. In addition, the significant differences between the BSD high-risk and low-risk groups about job stress were observed in terms of job demand, job insecurity, and occupational climate. A multiple logistic regression analysis revealed that the high-risk group in the job stress group had a higher effect on BSD than the low-risk group (odds ratio [OR]: 2.32, 95% confidence interval [CI]: 1.10–4.88). Among the categories of job stress, high-risk groups in 3 areas—job demand (OR: 2.56, 95% CI: 1.27–5.17), job insecurity (OR: 4.42, 95% CI: 1.19–16.42), and occupational climate (OR: 2.55, 95% CI: 1.29–5.05)—were more likely to have an impact on BSD than the low-risk groups. CONCLUSIONS: This study demonstrated that the high-risk groups of job stress total score, job demand, job insecurity, and occupational climate had a more significant effect on BSD than the low-risk groups. As workers with BSD may have difficulties in their work and personal lives, there is a need to manage job stress to prevention of BSD.
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spelling pubmed-74066692020-08-13 Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company Oh, Hyeonchoel Kim, Kihun Ha, Taewoong Kim, Jungwon Ann Occup Environ Med Research Article BACKGROUND: Mental illness is known to be caused by genetic, biological, and environmental risk factors. Although previous studies have established the link between mental illness and job stress, most of them are limited to major depression disorder. Therefore, this study examined the relationship between job stress and bipolar spectrum disorder (BSD). METHODS: This is a cross-sectional study based on a survey conducted in April 2017 at an electronic parts manufacturing company in Busan. In a total of 441 workers, the degree of BSD was identified using the Korean version of the Mood Disorder Questionnaire, and the degree of job stress was identified using the Korean Occupational Stress Scale Short Form. This study also identified general characteristics of workers and job-related factors. The χ(2) test and Fisher's exact test was conducted to determine the differences among the variables, based on BSD. Multiple logistic regression analysis was conducted to determine the influence of independent variables on BSD. RESULTS: Cross-analysis showed significant differences between the BSD high-risk and low-risk groups regarding age, sex, occupation, smoking, problem drinking, job stress total score, occupational climate, and major depression disorder symptom. In addition, the significant differences between the BSD high-risk and low-risk groups about job stress were observed in terms of job demand, job insecurity, and occupational climate. A multiple logistic regression analysis revealed that the high-risk group in the job stress group had a higher effect on BSD than the low-risk group (odds ratio [OR]: 2.32, 95% confidence interval [CI]: 1.10–4.88). Among the categories of job stress, high-risk groups in 3 areas—job demand (OR: 2.56, 95% CI: 1.27–5.17), job insecurity (OR: 4.42, 95% CI: 1.19–16.42), and occupational climate (OR: 2.55, 95% CI: 1.29–5.05)—were more likely to have an impact on BSD than the low-risk groups. CONCLUSIONS: This study demonstrated that the high-risk groups of job stress total score, job demand, job insecurity, and occupational climate had a more significant effect on BSD than the low-risk groups. As workers with BSD may have difficulties in their work and personal lives, there is a need to manage job stress to prevention of BSD. Korean Society of Occupational & Environmental Medicine 2020-07-13 /pmc/articles/PMC7406669/ /pubmed/32802341 http://dx.doi.org/10.35371/aoem.2020.32.e25 Text en Copyright © 2020 Korean Society of Occupational & Environmental Medicine https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Oh, Hyeonchoel
Kim, Kihun
Ha, Taewoong
Kim, Jungwon
Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title_full Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title_fullStr Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title_full_unstemmed Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title_short Effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
title_sort effects of job stress on symptoms of bipolar spectrum disorder in an electronic parts manufacturing company
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406669/
https://www.ncbi.nlm.nih.gov/pubmed/32802341
http://dx.doi.org/10.35371/aoem.2020.32.e25
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