ArticlePCN reports : psychiatry and clinical neurosciences2022
Psychological symptoms and related risk factors among healthcare workers and medical students during the early phase of the COVID-19 pandemic in Japan.
Article in PCN reports : psychiatry and clinical neurosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Factors Associated With Work Engagement of Nurses During the Fifth Wave of the COVID-19 Pandemic in Japan: Web-Based Cross-Sectional Study.JMIR formative research · 2023Article
- Efficacy and safety ofBrain, behavior, & immunity - health · 2023Article
- Psychological Distress among University Staff before and during the COVID-19 Pandemic.International journal of environmental research and public health · 2023Article
- The Role of Science-Based Knowledge on the SARS-CoV-2 Virus in Reducing COVID-19-Induced Anxiety among Nurses.International journal of environmental research and public health · 2022Article
- Psychological symptoms and related risk factors among healthcare workers and medical students during the early phase of the COVID-19 pandemic in Japan.PCN reports : psychiatry and clinical neurosciences · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The aim of this study was to investigate the mental health status of healthcare workers and medical students during the early phase of the COVID-19 pandemic. Methods: An online questionnaire was administered to 637 students and 3189 healthcare workers from May to July, 2020. The patient healthcare questionnaire-9 (PHQ-9) and state anxiety (A-State) of the state-trait anxiety inventory-form (STAI) were used to assess depression and anxiety symptoms, respectively. Individuals were categorized into severe (15 or higher) depression and severe (50-51 or higher) anxiety groups. Results: Healthcare workers and those taking care of COVID-19 patients had a higher risk of severe depression (PHQ-9 scores >15) than other comparison groups. Students and men also had a higher risk of severe anxiety (STAI > 50-51). Multivariable logistic regression analysis showed that healthcare workers had a fivefold higher risk of developing severe depression symptoms (adjusted odds ratio [OR] = 4.99, confidence interval [CI] 2.24-5.97, Conclusion: Both medical students and healthcare workers have been experiencing depression and anxiety symptoms during the first wave of the pandemic. Our findings showed a high rate of severe anxiety symptoms in medical students and a high rate of severe depression symptoms in healthcare workers. Those who treated COVID-19 patients were at greater risk of developing major depressive disorder than those who treated non-COVID-19 patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.