Evidence map›Paper›PMID 36517919›Full record

ArticleBMC psychology2022

Risk of depression, anxiety, and stress among the Saudi general population during the COVID-19 pandemic.

Bandar Alsaif, Fahad D Algahtani, Mohamed Ali Alzain, Rafat Zrieq, Badr K Aldhmadi, Badr Alnasser, Sehar-Un-Nisa Hassan

Open access · goldAbstract read
In one paragraph

Article in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. Assessing mental health among students in the UAE: A cross-sectional study utilizing the DASS-21 scale.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
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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

7 authors at 1 institution in 2 countries.

Bandar AlsaifDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Fahad D AlgahtaniDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Mohamed Ali AlzainDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Rafat ZrieqDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Badr K AldhmadiDepartment of Health Management, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Badr AlnasserDepartment of Health Management, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia.
Sehar-Un-Nisa HassanDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, PO Box 2440, Ha'il, 81451, Saudi Arabia. s.nisa@uoh.edu.sa.
University of Ha'il · SA

Funding

Deanship of Research, University of Ha'il RG-191318
6 · The paper itself

Abstract

backgroundPromoting mental health and wellness is crucial for healthy communities. This study aims to assess the vulnerability of experiencing psychological reactions such as depression, anxiety, and stress within the general population in Saudi Arabia during the COVID-19 pandemic.

methodsA cross-sectional online survey was completed by 754 participants recruited from thirteen regions of Saudi Arabia. The information on background variables was obtained by using a set of close-ended questions. The DASS-21, a screening tool was used to assess the risk of depression, anxiety, and stress. Pie-chart displayed the levels of risk to experience psychological reactions. The Chi-square test and Adjusted Odd Ratios (AOR) reported the risk factors associated with experiencing psychological reactions in the study population.

resultsThe vulnerability to mild to extremely severe levels of stress, anxiety and depression were (36.5%), (34.9%), and (43.5%), respectively. Findings demonstrated that females were at higher risk to experience anxiety (AOR = 1.56; 95% CI 1.11-2.18) and stress (AOR = 1.48; 95% CI 1.10-2.10) as compared to males. Unmarried individuals had higher vulnerability for anxiety (AOR = 1.60; 95% CI 1.04-2.44) and depression (AOR = 1.55; 95% CI 1.02-2.37) as compared to married individuals. Those who lost their job during the pandemic had a higher risk to experience anxiety (AOR = 2.02; 95% CI 1.10-3.74) and depression (AOR = 2.01: 95% CI 1.09-3.87) as compared to those who remain employed. Diagnosis with COVID-19 was associated with anxiety (AOR = 2.40; 95% CI 1.27-4.52) and stress (AOR = 2. 0; 95% CI 1.10-3.69). Participants with chronic medical conditions were almost twice at risk to experience stress (AOR = 2.0; 95% CI 1.38-2.87) depression (AOR = 2.14; 95% CI 1.53-2.99) and anxiety (AOR = 2.59; 95% CI 1.78-3.78) as compared to those without such conditions.

conclusionsFindings imply the allocation of adequate psychological resources to prevent long-term psychological repercussions in at-risk populations such as females, unmarried individuals, those who lost their jobs, diagnosed with COVID-19 and those with chronic medical conditions.

Indexed as

COVID-19PandemicsAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleMiddle Eastern PeopleStress, PsychologicalAnxietyCOVID-19 pandemicDepressionMental healthRisk factorsStress

Identifiers

PMID36517919
PMCPMC9748391
OpenAlexW4311365086

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.