Evidence map›Paper›PMID 33535992›Full record

ArticleBMC public health2021

An investigation of depression, anxiety, and stress and its relating factors during COVID-19 pandemic in Iran.

Fatemeh Khademian, Sajad Delavari, Zahra Koohjani, Zahra Khademian

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
23.7field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Pregnancy in the Shadow of Covid-19: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2026
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  6. Impact of COVID-19 on Mental Health: Sociodemographic Differences and the Moderating Effect of Religiosity.International journal of environmental research and public health · 2025
    Article
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  16. COVID-19 and Biopolitics: An Essay on Iran.Journal of bioethical inquiry · 2023
    Article
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  18. Article
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  20. Article

12 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Fatemeh KhademianDepartment of Health Information Management, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Sajad DelavariHealth Human Resources Research Center, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. sajadd@gmail.com.ORCID 0000-0002-5539-9026
Zahra KoohjaniDepartment of Health Information Management, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra KhademianCommunity-Based Psychiatric Care Research Center, Department of Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
Shiraz University of Medical Sciences · IR

Funding

Vice-Chancellor for Research, Shiraz University of Medical Sciences 99-01-106-22185
6 · The paper itself

Abstract

backgroundThe COVID-19 (SARS-CoV-2) is an emerging epidemic caused by the new Coronavirus. It has affected more than 200 countries, infected 5,939,234 people, and killed 367,255 in the world until 1 June 2020. While the disease epidemic could affect population mental health, this study aimed to investigate stress, anxiety, and depression during the Corona pandemic in Iran.

methodsAn online survey was designed using the depression, anxiety, and stress scale (DASS-21) questionnaire. The questionnaire was available for all Iranian population from 18 to 28 April 2020. Finally, 1498 participants filled the questionnaire using snowball sampling. Data were analyzed using multivariate regression models.

resultsFindings showed that most participants had experienced a normal level of stress (36.6%), anxiety (57.9%) and depression (47.9%). About 2.5% of respondents report an extremely severe level of stress. This amount of anxiety and depression was 6.3 and 7.9%, respectively. Regression model showed being female (CI: - 1.299; - 0.248), living with a high risk family member (CI: 0.325; 1.400), health status (CI: - 0.857; - 0.595), economic status (CI: - 0.396; - 0.141), social capital (CI: - 0.475; - 0.244), risk of disease (CI: 0.081; 0.729), and following COVID-19 news (CI: 0.111; 0.551) have a relation with stress level. Education level (CI: - 0.252; - 0.017), living with a high risk family member (CI: 0.0301; 1.160), health status (CI: - 0.682; - 0.471), social capital (CI: - 0.236; - 0.048), risk of disease (CI: 0.154; 0.674), and following COVID-19 news (CI: 0.046; 0.401) have a relation with anxiety score. Depression score was in relation with education level (CI: - 0.263; - 0.022), having a high-risk family member (CI: 0.292; 1.155), health status (CI: - 0.687; - 0.476), social capital (CI: - 0.235; - 0.048), risk of disease (CI: 0.144; 0.667), and following Covid-19 news (CI: 0.053; 0.408).

conclusionsMost of the factors related to depression, anxiety, and stress are related to COVID-19, such as having a vulnerable person in the family, risk of disease, and following COVID-19 news. The findings suggest the factors that should be taken into consideration for improving population mental health during pandemics.

Indexed as

COVID-19AnxietyDepressionFemaleHumansIranMaleRisk FactorsStress, PsychologicalSurveys and QuestionnairesAnxietyCoronovirusCOVID-19DepressionMental healthSARS-CoV-2Stress

Identifiers

PMID33535992
PMCPMC7856614
OpenAlexW3128303954

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.