Evidence map›Paper›PMID 37537632›Full record

ReviewEuropean journal of medical research2023

COVID and depression among stratified population groups: a narrative review.

Charul, Jyotdeep K Raina, Sourabh Sharma, Shash Pal, Vikas Dogra, Parvinder Kumar, Rakesh K Panjaliya

Open access · goldAbstract readReview
In one paragraph

Review in European journal of medical research, 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
1.3field-weighted citation impact, top 20% 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, 4 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

7 authors at 2 institutions in 1 country.

CharulDepartment of Zoology, University of Jammu, Jammu and Kashmir, 180006, India.
Jyotdeep K RainaGGM Science College, Cluster University of Jammu, Jammu and Kashmir, 180001, India.
Sourabh SharmaDepartment of Zoology, University of Jammu, Jammu and Kashmir, 180006, India.
Shash PalDepartment of Zoology, University of Jammu, Jammu and Kashmir, 180006, India.
Vikas DograDepartment of Zoology, Govt. College for Women, Parade Ground, Jammu, Jammu and Kashmir, 180001, India.
Parvinder KumarDepartment of Zoology, University of Jammu, Jammu and Kashmir, 180006, India.
Rakesh K PanjaliyaDepartment of Zoology, University of Jammu, Jammu and Kashmir, 180006, India. rakeshpanjaliya@jammuuniversity.ac.in.
University of Jammu · INGovt. Dental College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic has impacted and infiltrated every aspect of our lives. Successive lockdowns, social distancing measures, and reduction in economic activity have developed a new way of living and, in many cases, tend to lead to depression. The initial strict lockdown for about 3 months and eventually for a few more months has imposed greater challenges on children and adolescents in terms of psychological problems and psychiatric disorders. Regardless of their viral infection status, many people have been affected by the psychosocial changes associated with the Covid-19 pandemic. In the present review, we have attempted to evaluate the impact of COVID on the mental health of people from different age groups and occupations. The present review has highlighted the need for taking effective measures by the stakeholder to cope with depression among human population groups worldwide.

Indexed as

COVID-19AdolescentChildCommunicable Disease ControlDepressionHumansPandemicsPopulation GroupsSARS-CoV-2Covid-19DepressionMental health

Identifiers

PMID37537632
PMCPMC10398951
OpenAlexW4385552823

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.