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A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study
OBJECTIVES: On December 1, 2015, the Japanese government launched the Stress Check Program, a new occupational health policy to screen employees for high psychosocial stress in the workplace. As only weak evidence exists for the effectiveness of the program, we sought to estimate the risk of stress-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japan Society for Occupational Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799101/ https://www.ncbi.nlm.nih.gov/pubmed/29093366 http://dx.doi.org/10.1539/joh.17-0161-OA |
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author | Tsutsumi, Akizumi Shimazu, Akihito Eguchi, Hisashi Inoue, Akiomi Kawakami, Norito |
author_facet | Tsutsumi, Akizumi Shimazu, Akihito Eguchi, Hisashi Inoue, Akiomi Kawakami, Norito |
author_sort | Tsutsumi, Akizumi |
collection | PubMed |
description | OBJECTIVES: On December 1, 2015, the Japanese government launched the Stress Check Program, a new occupational health policy to screen employees for high psychosocial stress in the workplace. As only weak evidence exists for the effectiveness of the program, we sought to estimate the risk of stress-associated long-term sickness absence as defined in the program manual. METHODS: Participants were 7356 male and 7362 female employees in a financial service company who completed the Brief Job Stress Questionnaire (BJSQ). We followed them for 1 year and used company records to identify employees with sickness absence of 1 month or longer. We defined high-risk employees using the BJSQ and criteria recommended by the program manual. We used the Cox proportional regression model to evaluate the prospective association between stress and long-term sickness absence. RESULTS: During the follow-up period, we identified 34 male and 35 female employees who took long-term sickness absence. After adjustment for age, length of service, job type, position, and post-examination interview, hazard ratios (95% confidence intervals) for incident long-term sickness absence in high-stress employees were 6.59 (3.04-14.25) for men and 2.77 (1.32-5.83) for women. The corresponding population attributable risks for high stress were 23.8% (10.3-42.6) for men and 21.0% (4.6-42.1) for women. CONCLUSIONS: During the 1-year follow-up, employees identified as high stress (as defined by the Stress Check Program manual) had significantly elevated risks for long-term sickness absence. |
format | Online Article Text |
id | pubmed-5799101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Japan Society for Occupational Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-57991012018-02-12 A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study Tsutsumi, Akizumi Shimazu, Akihito Eguchi, Hisashi Inoue, Akiomi Kawakami, Norito J Occup Health Original OBJECTIVES: On December 1, 2015, the Japanese government launched the Stress Check Program, a new occupational health policy to screen employees for high psychosocial stress in the workplace. As only weak evidence exists for the effectiveness of the program, we sought to estimate the risk of stress-associated long-term sickness absence as defined in the program manual. METHODS: Participants were 7356 male and 7362 female employees in a financial service company who completed the Brief Job Stress Questionnaire (BJSQ). We followed them for 1 year and used company records to identify employees with sickness absence of 1 month or longer. We defined high-risk employees using the BJSQ and criteria recommended by the program manual. We used the Cox proportional regression model to evaluate the prospective association between stress and long-term sickness absence. RESULTS: During the follow-up period, we identified 34 male and 35 female employees who took long-term sickness absence. After adjustment for age, length of service, job type, position, and post-examination interview, hazard ratios (95% confidence intervals) for incident long-term sickness absence in high-stress employees were 6.59 (3.04-14.25) for men and 2.77 (1.32-5.83) for women. The corresponding population attributable risks for high stress were 23.8% (10.3-42.6) for men and 21.0% (4.6-42.1) for women. CONCLUSIONS: During the 1-year follow-up, employees identified as high stress (as defined by the Stress Check Program manual) had significantly elevated risks for long-term sickness absence. Japan Society for Occupational Health 2017-11-01 2018-01-20 /pmc/articles/PMC5799101/ /pubmed/29093366 http://dx.doi.org/10.1539/joh.17-0161-OA Text en https://creativecommons.org/licenses/by-nc-sa/4.0/ Journal of Occupational Health is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by-nc-sa/4.0/). |
spellingShingle | Original Tsutsumi, Akizumi Shimazu, Akihito Eguchi, Hisashi Inoue, Akiomi Kawakami, Norito A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title | A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title_full | A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title_fullStr | A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title_full_unstemmed | A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title_short | A Japanese Stress Check Program screening tool predicts employee long-term sickness absence: a prospective study |
title_sort | japanese stress check program screening tool predicts employee long-term sickness absence: a prospective study |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799101/ https://www.ncbi.nlm.nih.gov/pubmed/29093366 http://dx.doi.org/10.1539/joh.17-0161-OA |
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