Evidence map›Paper›PMID 40135244›Full record

ArticleEnvironmental and occupational health practice2024

A matched case-control study on the attributable risk of CES-D positivity to the incidence of COVID-19 breakthrough infections.

Yosuke Shimada, Satoshi Hori, Hiroshi Fukuda, Narimasa Katsuta, Mizue Saita, Minoru Ohno, Masaya Satoh, Mari Sato, Toshio Naito

Abstract read
In one paragraph

Article in Environmental and occupational health practice, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  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

9 authors.

Yosuke ShimadaInfection Control Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0009-0006-5783-0322
Satoshi HoriInfection Control Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5205-1270
Hiroshi FukudaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1072-3021
Narimasa KatsutaDepartment of Safety and Health Promotion, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6949-899X
Mizue SaitaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8438-0845
Minoru OhnoInfection Control Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Masaya SatohInfection Control Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Mari SatoInfection Control Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1646-9930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate whether the Center for Epidemiologic Studies Depression Scale (CES-D) positivity (16 and above) is a risk factor for breakthrough infections of coronavirus disease 2019 (COVID-19), a matched case-control study was conducted among hospital employees. Methods: Participants were matched based on known risk factors, including serum SARS-CoV-2 anti-S antibodies. A multivariate logistic regression analysis was conducted with CES-D score measured at baseline as the explanatory variable and the presence of breakthrough infection after a specified period as the outcome variable, and gender, age, and other covariates were included. Results: Logistic regression analysis showed that CES-D positivity was significantly associated with the breakthrough COVID-19 infections (odds ratio 4.393; 95% confidence interval, 1.318-14.642, P=0.016). Conclusions: An increase in the number of hospital employees with CES-D positivity during the pandemic might contribute to a rise in breakthrough infections. It is considered necessary to alleviate people's stress levels through the enhancement of mental health care interventions, complementing infection control measures.

Indexed as

breakthrough infectionsCOVID-19mental health

Identifiers

PMID40135244
PMCPMC11933622

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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.