Evidence map›Paper›PMID 34568549›Full record

ArticleJournal of patient experience2021

Severe Social Anxiety Among Adolescents During COVID-19 Lockdown.

Mohamad H Itani, Ekram Eltannir, Hayat Tinawi, Dima Daher, Akram Eltannir, Adib A Moukarzel

Open access · diamondAbstract read
In one paragraph

Article in Journal of patient experience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. The Influence of the COVID-19 Pandemic on Social Anxiety: A Systematic Review.International journal of environmental research and public health · 2023
    Pooled it
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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

6 authors at 4 institutions in 2 countries.

Mohamad H ItaniMohamad Khaled Rehabilitation Hospital, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-3318-9001
Ekram EltannirNajjar Hospital, Beirut, Lebanon.
Hayat TinawiNajjar Hospital, Beirut, Lebanon.
Dima DaherKing's College London, London, UK.
Akram EltannirBeirut Arab University, Beirut, Lebanon.
Adib A MoukarzelHôtel-Dieu de France - Saint Joseph University Hospital, Beirut, Lebanon.
Rafik Hariri University Hospital · LBBeirut Arab University · LBKing's College London · GBSaint Joseph University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To study the prevalence of severe social anxiety (SSA) among a group of adolescents during the coronavirus disease of 2019 (COVID-19) pandemic. A total of 178 adolescents attending the private clinics of the authors were screened online for the presence of SSA, by using the self-reporting format of the Liebowitz Social Anxiety Scale for children and adolescents (LSAS-CA). SSA defined as LSAS-CA scores of 80 or more was checked for statistical association with the adolescents' sociodemographic data and knowledge about the COVID-19 infection. The 18% of our participants had SSA, no correlation was found between having SSA and ä acknowledging or fearing the COVID-19 morbidity. Factors associated with SSA included texting, using social media, and playing video games during the lockdown. Mitigating factors include high family socioeconomic status, history of socialization with friends, and the use of WhatsApp as a source of information about COVID-19 infection.

Indexed as

adolescentsCOVID-19 pandemicmedical educationpatient educationsocial anxietysocial media

Identifiers

PMID34568549
PMCPMC8460965
OpenAlexW3201394990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.