Evidence map›Paper›PMID 35815045›Full record

ArticleFrontiers in psychiatry2022

Prevalence and Determinants of Generalized Anxiety Disorder Symptoms in Residents of Fort McMurray 12 Months Following the 2020 Flooding.

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. 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

12 authors at 2 institutions in 1 country.

Ernest OwusuDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Reham ShalabyDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Ejemai EboreimeDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Nnamdi NkireDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Mobolaji A LawalDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Belinda AgyapongGlobal Psychological E-Health Foundation, Edmonton, AB, Canada.
Hannah PazderkaDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Gloria Obuobi-DonkorDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Medard K AduDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Wanying MaoDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Folajinmi OluwasinaDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Vincent I O AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CAHealth Research Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses. Objective: This study aims to identify the prevalence and determinants of likely Generalized Anxiety disorder (GAD) in among respondents 12-months after the 2020 flooding. Methods: Data for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables, and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study. Results: Of the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183-423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157-9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553-15.45). Conclusion: This study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster particularly the flood in 2020. The predictors of likely GAD include positive employment status, history of depression diagnosis, and the need to have mental health counseling. Policymakers may mitigate the rise of anxiety after flooding in vulnerable areas by addressing these and other factors.

Indexed as

anxietydepressiondisasterfloodingtraumatic

Identifiers

PMID35815045
PMCPMC9263447
OpenAlexW4283453281

What OpenQuestion holds

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Registered trials

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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.