ArticleFukushima journal of medical science2020
Job stress factors measured by Brief Job Stress Questionnaire and sickness absence among Japanese workers: A longitudinal study.
Article in Fukushima journal of medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Machine learning prediction of long-term sickness absence due to mental disorders using Brief Job Stress Questionnaire data.Scientific reports · 2025Article
- Impact of workplace factors on long-term sickness absence: A retrospective observational study comparing mental and physical illnesses.PCN reports : psychiatry and clinical neurosciences · 2025Article
- Multidimensional analysis of schoolteachers' occupational stress by the New Brief Job Stress Questionnaire: focusing on gender differences.Industrial health · 2024Article
- Public school teachers' occupational stress across different school types: a nationwide survey during the prolonged COVID-19 pandemic in Japan.Frontiers in public health · 2023Article
- Occupational stress and associated risk factors among 13,867 industrial workers in China.Frontiers in public health · 2022Article
- The analysis of main stressors among high-stress primary school teachers by job positions: A nationwide survey in Japan.Frontiers in public health · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
This study aimed to investigate associations between Brief Job Stress Questionnaire (BJSQ)-measured job stress factors and sickness absence in Japanese workers. Among 551 healthy, employed Japanese men and women (age range: 21-73 years) who underwent mental health examinations at the Osaka Medical Center for Health Science and Promotion between 2006 and 2009, 197 (67 men, 130 women) consented to participate in this study. Their sickness absences until the end of March 2010 were then followed-up via postal mail survey, with 112 participants effectively responding to the question on sickness absence (56.9%). The hazard ratio (HR) and 95% confidence interval (CI) were calculated using the Cox proportional hazards model, adjusting for age, sex, and lifestyle factors. Among the 112 respondents, 12 took sickness absence after their study entry, as found during the mean 2.3 years of follow-up (258.8 person-years). Among all sickness absences, those of eight participants were because of mental illness. Physical demands were positively associated with increased risks of all sickness absence (adjusted HR: 2.78, 95% CI: 1.01-7.64). Physical demands were predictive for all sickness absence, and should be alleviated at workplaces to prevent such absence.
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