Evidence map›Paper›PMID 38152663›Full record

ArticleFrontiers in public health2023

Comparison of healthcare workers and non-healthcare workers in terms of obsessive-compulsive and depressive symptoms during COVID-19 pandemic: a longitudinal case-controlled study.

Betul Uyar, Suleyman Donmezdil

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 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

2 authors at 2 institutions in 1 country.

Betul UyarDepartment of Psychiatry, Faculty of Medicine, Dicle University, Diyarbakır, Türkiye.
Suleyman DonmezdilDepartment of Psychology, Faculty of Literature, Mardin Artuklu University, Mardin, Türkiye.
Dicle University · TRMardin Artuklu University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to investigate the obsessive-compulsive and depressive symptoms of healthcare workers in a case-control setting as longitudinal. Method: In this study included 49 healthcare workers and 47 non-health workers. A sociodemographic data form, the Maudsley Obsessive-Compulsive Inventory (MOCI), the Symptom Checklist-90 (SCL-90), and the Hamilton Depression Rating Scale (HAM-D) were used to assess individuals between June 1, 2020 and June 30, 2021. We assessed the same healthcare workers after 12 months on June 30, 2021 using MOCI, HAM-D, and SCL-90. Results: MOCI and SCL-90 obsessive-compulsive subscale scores were significantly higher in the healthcare workers than in the non-health workers. When we assessed MOCI, HAM-D, and SCL-90 obsessive-compulsive subscale scores after 12 months, there was a statistically significant decrease in the scores of all three scales among the healthcare workers. Conclusion: The results of the study showed that healthcare workers were more likely to have obsessive-compulsive symptoms than non-health workers in the early part of the pandemic on June 1, 2020, as shown by their scores on MOCI and the obsessive-compulsive subscale of SCL-90. When we assessed the same participants after 12 months (June 30, 2021), both MOCI and SCL-90 obsessive-compulsive subscale scores had decreased significantly. In contrast to these results, HAM-D scores significantly increased.

Indexed as

COVID-19Obsessive-Compulsive DisorderCase-Control StudiesDepressionHumansPandemicsCOVID-19depressive symptomshealthcare workersobsessive-compulsive symptomspandemic

Identifiers

PMID38152663
PMCPMC10751325
OpenAlexW4389679192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.