The association of work-related stress according to the demand–control model with aggravation of pre-existing disease during the first state of covid-19 emergency in japan

Yupeng He, Hiroshi Yatsuya, Chifa Chiang, Atsuhiko Ota, Ryo Okubo, Tomohiro Ishimaru, Takahiro Tabuchi

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The job environment has changed a lot during the period of the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to investigate the association between work-related stress and aggravation of pre-existing disease in workers during the first state of COVID-19 emergency in Japan. Methods: Data were obtained from a large internet survey conducted between August 25 and September 30, 2020 in Japan. Participants who reported that they had a job as well as current history of disease(s) (ie, pre-existing conditions) were included (n = 3,090). Aggravation of pre-existing disease during the state of emergency was self-reported. Work-related stress from April 2020 (since the state of COVID-19 emergency) was assessed according to a job demand–control model. Multivariable logistic regression models were used to analyze the association. Results: Aggravation of pre-existing diseases was reported by 334 participants (11%). The numbers of participants with high demand and low control were 112 (18%) and 100 (14%), respectively. Compared to medium demand, high demand was significantly associated with aggravation of pre-existing diseases (odds ratio 1.77; 95% confidence interval, 1.30–2.42). Low control compared to medium control was also significantly associated with aggravation of pre-existing diseases (odds ratio 1.39; 95% confidence interval, 1.02–1.92). Conclusion: Work-related stress during the first state of COVID-19 emergency was associated with aggravation of pre-existing disease during that period.

Original languageEnglish
Pages (from-to)642-647
Number of pages6
JournalJournal of epidemiology
Volume31
Issue number12
DOIs
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Epidemiology

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