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.
J Epidemiol
; 31(12): 642-647, 2021 12 05.
Article
in English
| MEDLINE | ID: covidwho-1523592
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Occupational Stress
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
J Epidemiol
Journal subject:
Epidemiology
Year:
2021
Document Type:
Article
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