Evidence map›Paper›PMID 35742346›Full record

ArticleInternational journal of environmental research and public health2022

Evaluating the Prevalence and Predictors of Moderate to Severe Depression in Fort McMurray, Canada during the COVID-19 Pandemic.

Gloria Obuobi-Donkor, Ejemai Eboreime, Reham Shalaby, Belinda Agyapong, Folajinmi Oluwasina, Medard Adu, Ernest Owusu, Wanying Mao, Vincent I O Agyapong

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Assessing Resilience and Its Correlates among Residents of Fort McMurray during the COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Automated Workflow for Usability Audits in the PHR Realm.International journal of environmental research and public health · 2022
    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

9 authors at 2 institutions in 1 country.

Gloria Obuobi-DonkorDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-5325-8054
Ejemai EboreimeDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-8277-2570
Reham ShalabyDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0002-3717-6398
Belinda AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-7633-6529
Folajinmi OluwasinaDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Medard AduDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-9593-0275
Ernest OwusuDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0003-1231-4501
Wanying MaoDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0003-0690-0766
Vincent I O AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0002-2743-0372
University of Alberta · CADalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Coronavirus disease (COVID-19) pandemic has produced adverse health consequences, including mental health consequences. Studies indicate that residents of Fort McMurray, a community which has experienced trauma from flooding and wildfires in the past, may be more vulnerable to the mental health effects of the pandemic.

objectiveThis study aimed to examine the prevalence and predictors of likely Major Depressive Disorder (MDD) among residents of Fort McMurray during the COVID-19 pandemic.

methodsA cross-sectional approach was adopted utilizing an online survey questionnaire to gather sociodemographic data, COVID-19 related data, and clinical information, including likely MDD using the Patient Health Questionnaire (PHQ-9) scale, from the residents of Fort McMurray between the period of 24 April to 2 June 2021.

resultsOverall, 186 individuals completed the survey out of 249 residents who accessed the online survey, yielding a completion rate of 74.7%. The prevalence of likely MDD among respondents was 45%. Respondents willing to receive mental health counselling were five times more likely to experience MDD during the COVID-19 pandemic (OR = 5.48; 95% CI: 1.95-15.40). Respondents with a history of depression were nearly five folds more likely to report MDD during the era of the pandemic than residents without a history of depression (OR = 4.64; 95% CI: 1.49-14.44). Similarly, respondents with a history of taking hypnotics (sleeping tablets) were nearly six-fold more likely to express MDD than respondents with no history of receiving sleeping tablets (OR = 5.72; 95% CI: 1.08-30.30). Finally, respondents who reported receiving only partial support from the employer had three times higher odds of having likely MDD than those who received absolute support from the employer (OR = 3.50; 95% CI: 1.24-9.82).

conclusionIn addition to the effect of the pandemic and other measures taken to curb the psychopathological impact of the pandemic, policymakers need to implement policies to manage individuals with preexisting mental health conditions and provide strong employer support.

Indexed as

COVID-19Major Depressive DisorderDepressionHumansPandemicsPrevalenceSARS-CoV-2COVID-19employer supportFort McmurrayMajor Depressive Disordermental health

Identifiers

PMID35742346
PMCPMC9222250
OpenAlexW4281949860

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.