Evidence map›Paper›PMID 36419688›Full record

ArticleIndustrial psychiatry journal

A cross-sectional survey of sleep patterns and quality and its association with psychological symptoms among doctors working in a COVID-19 care facility.

Sushmitha Kota, Shankar Kumar, Archana Gopal, Prashanth Nagabhushan Rudra, K Anvitha

Open access · goldAbstract read
In one paragraph

Article in Industrial psychiatry journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Sushmitha KotaDepartment of Psychiatry, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Shankar KumarDepartment of Psychiatry, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Archana GopalDepartment of Psychiatry, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Prashanth Nagabhushan RudraDepartment of Psychiatry, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
K AnvithaDepartment of Psychiatry, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Bangalore Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: The coronavirus disease 2019 (COVID-19) outbreak has led to several psychological symptoms among frontline doctors of which sleep disturbances are common. Stress due to isolation and disease-related factors are known to be associated with sleep disturbances. Aim: The aim of this study is to establish the prevalence of poor sleep and its association with psychological symptoms among doctors working in COVID-19 tertiary hospital. Settings and Design: A cross-sectional online survey was conducted among 150 doctors who were treating COVID-19 patients. Materials and Methods: The survey contained a semi-structured questionnaire including sociodemographic details, Depression Anxiety Stress Scale 21, and Pittsburgh Sleep Quality Index scale. Analysis was done using the SPSS v20. Results: Of 150 doctors, we found 67 (44.67%) and 83 (55.33%) doctors were poor sleepers and good sleepers, respectively. Those who were married ( Conclusion: Sleep pattern abnormalities were present in 45% of the frontline COVID-19 doctors studied. Family history of psychiatric illness and substance use was associated with higher chances of having poor sleep. It is important to recognize and manage sleep abnormalities as these could be initial signs of a psychiatric disorder or manifestations of underlying stress, especially in the vulnerable population.

Indexed as

Adaptationcoronavirus disease 2019psychologicalsleepsleep-wake disordersvulnerable population

Identifiers

PMID36419688
PMCPMC9678159
OpenAlexW4310333366

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.