Evidence map›Paper›PMID 35668751›Full record

ArticleDiscover mental health2022

Screening for anxiety and its determinants among secondary school students during the COVID-19 era: a snapshot from Qatar in 2021.

Alia Albinali, Sarah Naja, Noora Al Kaabi, Nagah Slim

Open access · goldAbstract read
In one paragraph

Article in Discover mental health, 2022. 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
0.6field-weighted citation impact, top 33% 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, 3 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

4 authors at 2 institutions in 1 country.

Alia AlbinaliHamad Medical Corporation, Doha, Qatar.
Sarah NajaHamad Medical Corporation, Doha, Qatar.
Noora Al KaabiHamad Medical Corporation, Doha, Qatar.
Nagah SlimPrimary Health Care Corporation, Doha, Qatar.
Hamad Medical Corporation · QAPrimary Health Care · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anxiety among adolescents may lead to disability and has a tremendous impact on one's quality of life. The alarming COVID-19 pandemic is expected to increase the anxiety level of adolescents especially with enforced governmental management strategies. This study will assess anxiety symptoms among secondary school students during the COVID-19 pandemic in Qatar. Methods: We conducted an analytical cross-sectional study among adolescents attending independent secondary schools in Qatar. First, potential participants were invited through Microsoft teams. Next, a total of 750 participants were assessed through the Generalized Anxiety Disorder-7 (GAD-7) tool. We then conducted descriptive analyses and the Chi-square test to examine significant determinants of anxiety, which was followed by logistic regression analysis. In the end, the scale was tested for its internal consistency using Cronbach's alpha. Results: Anxiety symptoms were seen in 37.2% of the participants. Female gender, previous history of mental illness, comorbidities, permissive parenting style, and spending more than 12 h per day on the internet were significant determinants of anxiety. Furthermore, a previous history of mental illness, low perceived social support, isolation, and social distancing predicted anxiety. Conclusions: Anxiety is common among secondary school students in Qatar, and preventive interventions must target the determinants, especially during a pandemic.

Indexed as

AnxietyCOVID-19 strategiesGAD-7Screening

Identifiers

PMID35668751
PMCPMC9150388
OpenAlexW4281698520

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.