ArticlePloS one2023
Time-course changes in mental distress and their predictors in response to the coronavirus disease 2019 (COVID-19) pandemic: A longitudinal multi-site study of hospital staff.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Levels and correlates of pandemic anxiety in people living with rare diseases: a cross-sectional analysis using a structural equation model.Orphanet journal of rare diseases · 2026Article
- Article
- Psychological distress among healthcare providers during the COVID-19 pandemic: patterns over time.BMC health services research · 2024Article
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Authors and funding
10 authors at 2 institutions in 1 country.
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Abstract
The coronavirus disease 2019 (COVID-19) pandemic provides a unique opportunity studying individual differences in the trajectory of mental distress to relatively homogeneous stressors by longitudinally examining time-course changes between pandemic waves. For 21 months, we tested the effects of COVID-19 waves on mental health among 545 staffs at 18 hospitals treating COVID-19 patients in Shizuoka Prefecture, Japan. Contrary to increasing new infected cases as waves progressed, initially elevated psychological distress (K6) and fear of COVID-19 (FCV-19S) were decreased among waves (K6: B = -.02, 95% confidence interval [CI] = -.03 to -.01; FCV-19S: B = -.10, 95% CI = -.16 to -.04). This initial increase and subsequent decrease in K6 and FCV-19S were more prominent in individuals with high trait anxiety (K6: B = 1.55, 95% CI = 1.18 to 1.91; FCV-19S: B = 4.27, 95% CI = 2.50 to 6.04) and in occupations other than physicians or nurses. The current study revealed time-course changes in psychological distress and fear regarding COVID-19 in each pandemic wave and across waves, and indicated the usefulness of trait anxiety and occupation as predictors of mental health outcomes.
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