Evidence map›Paper›PMID 37842555›Full record

ArticleHeliyon2023

Correlates of anxiety and depressive symptoms in inpatients with COVID-19 in Taiwan.

Wei-Chen Lee, Chun-Lin Chen, Yi-Ju Pan

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Wei-Chen LeeDepartment of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Chun-Lin ChenDepartment of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Yi-Ju PanDepartment of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Far Eastern Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Inpatients with COVID-19 may experience high levels of anxiety and depressive symptoms during the pandemic. No prior study has examined these symptoms with COVID-19 inpatients in Taiwan. Using data from a tertiary hospital in Northern Taiwan, we investigated anxiety and depressive symptoms and the associated sociodemographic or clinical characteristics in these patients. Methods: Data of anxiety and depressive symptoms by the Hospital Anxiety and Depression Scale (HADS) as well as the sociodemographic and clinical correlates were retrospectively retrieved and analyzed for COVID-19 patients admitted to Far Eastern Memorial Hospital from June 4 to June 28, 2021. Results: In total, 152 patients with COVID-19 were included. Among all the COVID-19 inpatients, 9.9 % (n = 15) had an HADS anxiety score of ≥8 and 7.2 % (n = 11) had an HADS depression score of ≥8. COVID-19 inpatients with HADS anxiety score ≥8 or HADS depression score ≥8 were found to have a longer length of hospital stay compared to the respective comparison group. The female patients, patients aged >55 years, and patients hospitalized for >15 days had significantly higher anxiety scores than did the corresponding comparison groups. Conclusion: COVID-19 inpatients with either anxiety or depression were associated with longer length of hospital stay. Age, sex, and hospitalization length were found to be associated with anxiety symptoms in inpatients with COVID-19. Future studies are warranted to elucidate differential mechanisms potentially related to anxiety and depressive symptoms in patients with COVID-19.

Indexed as

AnxietyCOVID-19DepressionHospital anxiety and depression scale (HADS)Hospitalization

Identifiers

PMID37842555
PMCPMC10568106
OpenAlexW4387369538

What OpenQuestion holds

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LicenceCC BY
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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.