Evidence map›Paper›PMID 35955114›Full record

ArticleInternational journal of environmental research and public health2022

Post-Traumatic Stress Disorder, Major Depressive Disorder, and Wildfires: A Fifth-Year Postdisaster Evaluation among Residents of Fort McMurray.

Wanying Mao, Medard Adu, Ejemai Eboreime, Reham Shalaby, Nnamdi Nkire, Belinda Agyapong, Hannah Pazderka, Gloria Obuobi-Donkor, Ernest Owusu, Folajinmi Oluwasina and 2 more

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

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  8. Priority research directions for wildfire science: views from a historically fire-prone and an emerging fire-prone country.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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

12 authors at 2 institutions in 1 country.

Wanying MaoDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0003-0690-0766
Medard AduDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-9593-0275
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
Nnamdi NkireDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Belinda AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-7633-6529
Hannah PazderkaDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0002-3511-4652
Gloria Obuobi-DonkorDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0001-5325-8054
Ernest OwusuDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0003-1231-4501
Folajinmi OluwasinaDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.ORCID 0000-0002-5120-9782
Yanbo ZhangDepartment of Psychiatry, University of Alberta, Edmonton, AB T6G 2B7, Canada.
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

Background: Over 90,000 residents had to be evacuated from Fort McMurray (FMM), Alberta, Canada due to the wildfire that engulfed the city in May 2016. Overall, about 2400 homes or 10% of the housing stock in Fort McMurray were destroyed. The fire consumed about 200,000 hectors of forest, reaching into Saskatchewan. During major disasters, communities’ infrastructure is disrupted, and psychological, economic, and environmental effects are felt for years afterwards. Objective: Five years after the wildfire disaster, this study assessed the prevalence rate of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) in Fort McMurray residents and determined the demographic, clinical, and other risk factors of probable MDD and PTSD. Methodology: A quantitative cross-sectional survey was conducted to collect data through an online questionnaire administered via REDCap between 24 April and 2 June 2021. The Patient Health Questionnaire (PHQ-9) was used to assess the presence of MDD symptoms in respondents. The PTSD Checklist for DSM-5 (PCL-C) was used to assess likely PTSD in respondents. Descriptive, univariate, and multivariate regression analyses were employed. Results: 186 out of 249 individuals who accessed the survey link completed it (74.7% response rate). The median age of the subscribers was 42. The sample included a majority of 159 (85.5%) females; 98 (52.7%) > 40 years of age; 175 (94.1%) employed; and 132 (71%) in a relationship. The overall prevalence of MDD symptoms in our study sample was 45.0% (76). Four variables independently predicted MDD symptoms in the multivariate logistic regression model, including: unemployed (OR = 12.39; 95% CI: 1.21−126.37), have received a mental diagnosis of MDD (OR = 4.50; 95% CI: 1.57−12.92), taking sedative-hypnotics (OR = 5.27; 95% CI: 1.01−27.39), and willingness to receive mental health counseling (OR = 4.90; 95% CI: 1.95−12.31). The prevalence of likely PTSD among our respondents was 39.6% (65). Three independent variables: received a mental health depression diagnosis from a health professional (OR = 4.49; 95% CI: 1.40−14.44), would like to receive mental health counseling (OR = 4.36, 95% CI: 1.54−12.34), and have only limited or no support from family (OR = 11.01, 95% CI: 1.92−63.20) contributed significantly to the model for predicting likely PTSD among respondents while controlling the other factors in the regression model. Conclusions: According to this study, unemployment, taking sleeping pills, having a prior depression diagnosis, and the willingness to receive mental health counseling significantly increase the odds of having MDD and PTSD following wildfires. Family support may protect against the development of these conditions.

Indexed as

Major Depressive DisorderStress Disorders, Post-TraumaticWildfiresAlbertaCross-Sectional StudiesFemaleHumansMaleFort McMurrayMDDmental healthnatural disasterPTSDtraumawildfire

Identifiers

PMID35955114
PMCPMC9368448
OpenAlexW4294125818

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.