TY - JOUR
T1 - A Japanese Stress Check Program screening tool predicts employee long-term sickness absence
T2 - A prospective study
AU - Tsutsumi, Akizumi
AU - Shimazu, Akihito
AU - Eguchi, Hisashi
AU - Inoue, Akiomi
AU - Kawakami, Norito
N1 - Funding Information:
The present study was supported by a Health and Labour Sciences Research Grant 2015-2017 (H27-Rodo-Ippan-004) from the Ministry of Health, Labour and Welfare, Japan. We thank Diane Williams, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
Funding Information:
Acknowledgments: The present study was supported by a Health and Labour Sciences Research Grant 2015-2017 (H27-Rodo-Ippan-004) from the Ministry of Health, Labour and Welfare, Japan. We thank Diane Williams, PhD, from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
PY - 2018
Y1 - 2018
N2 - 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 longterm 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 followup 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.
AB - 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 longterm 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 followup 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.
KW - Cox proportional hazard regression analysis
KW - Incidence
KW - Kaplan-Meier analysis
KW - Mental health
KW - Psychosocial work environment
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U2 - 10.1539/joh.17-0161-OA
DO - 10.1539/joh.17-0161-OA
M3 - Article
C2 - 29093366
AN - SCOPUS:85040918612
SN - 1341-9145
VL - 60
SP - 55
EP - 63
JO - Journal of Occupational Health
JF - Journal of Occupational Health
IS - 1
ER -