Evidence map›Paper›PMID 36244760›Full record

ArticleEnvironmental health and preventive medicine2022

Impact of the COVID-19 pandemic on the mental health of nursing students in Japan: a cross-sectional study.

Yoshiyasu Ito, Jun Kako, Kohei Kajiwara, Yasutaka Kimura, Takahiro Kakeda, Seiji Hamanishi, Shinsuke Sasaki, Makoto Yamanaka, Hana Kiyohara, Yuki Wakiguchi and 7 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 11 institutions in 1 country.

Yoshiyasu ItoCollege of Nursing Art and Science, University of Hyogo.ORCID http://orcid.org/0000-0002-7203-6702
Jun KakoCollege of Nursing Art and Science, University of Hyogo.
Kohei KajiwaraFaculty of Nursing, Japanese Red Cross Kyushu International College of Nursing.
Yasutaka KimuraDepartment of Nursing, Meio University.
Takahiro KakedaKawasaki City College of Nursing.
Seiji HamanishiFaculty of Nursing, Kansai University of Social Welfare.
Shinsuke SasakiDepartment of Nursing Science, Okayama Prefectural University.
Makoto YamanakaSchool of Nursing, Aichi Medical University.
Hana KiyoharaCollege of Nursing Art and Science, University of Hyogo.
Yuki WakiguchiCollege of Nursing Art and Science, University of Hyogo.
Yoji EndoFaculty of Nursing, Kansai University of Social Welfare.
Kimie HaradaFaculty of Nursing, Japanese Red Cross Kyushu International College of Nursing.
Yuji KogaFaculty of Nursing, Kawasaki University of Medical Welfare.
Michiko IshidaFaculty of Nursing, Kawasaki University of Medical Welfare.
Yoko NishidaFaculty of Nursing, Kawasaki University of Medical Welfare.
Masamitsu KobayashiGraduate of Nursing Science, St. Luke's International University.
Michihiro TsubakiSchool of Nursing, Kitasato University.
Kawasaki University of Medical Welfare · JPUniversity of Hyogo · JPJapanese Red Cross Kyushu International College of Nursing · JPKansai University of Social Welfare · JPAichi Medical University · JPHyogo University of Health Sciences · JPKawasaki City College of Nursing · JPKitasato University · JPMeio University · JPOkayama Prefectural University · JPSt. Luke's International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect of the prolonged coronavirus disease (COVID-19) pandemic on the mental health of nursing students is unclear. This study assesses the prevalence of anxiety, depression, and insomnia among nursing students in Japan during the pandemic and determines the risk factors associated with such symptoms.

methodsAn online survey-based cross-sectional study was conducted from August 16 to October 16, 2021. Participants were first- to fourth-year nursing students enrolled in undergraduate programs at the eight universities in Japan. Anxiety, depression, and insomnia were assessed using the Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Insomnia Severity Index-7, respectively. We calculated descriptive statistics for each measurement item and performed univariate and logistic regression analyses to evaluate the potential risk factors.

resultsWe received responses from 1,222 of 3,056 nursing students (response rate: 40.0%). After 25 participants were excluded due to missing outcome values, 1,197 students (valid response rate: 98.0%) were included in the analysis. The prevalence of anxiety, depression, and insomnia was 4.8%, 12.4%, and 18.0%, respectively. The risk of anxiety was lower among participants who did not have any relatives or friends who had been infected with SARS-CoV-2 than among those who did (aOR 0.36, 95% CI 0.14-0.94). The risk of depression was higher among participants whose financial status had worsened during the pandemic than among those whose financial status had not changed (aOR 3.44; 95% CI 1.98-5.96). Common factors that increased the risk of anxiety, depression, and insomnia were life satisfaction and fear of COVID-19.

conclusionMental health-related symptoms among nursing students in Japan have not necessarily worsened with the spread of COVID-19 but were exacerbated by the intensity of changes in daily living and fear, which are psychosocial effects associated with the pandemic.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersStudents, NursingCross-Sectional StudiesDepressionHumansJapanMental HealthPandemicsSARS-CoV-2AnxietyCOVID-19DepressionInsomniaNursing student

Identifiers

PMID36244760
PMCPMC9640737
OpenAlexW4306668427

What OpenQuestion holds

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Registered trials

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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.