Evidence map›Paper›PMID 35397530›Full record

ArticleBMC public health2022

Public perceptions during the first wave of the COVID-19 pandemic in Canada: a demographic analysis of self-reported beliefs, behaviors, and information acquisition.

Jeanna Parsons Leigh, Rebecca Brundin-Mather, Andrea Soo, Emily FitzGerald, Sara Mizen, Alexandra Dodds, Sofia Ahmed, Karen E A Burns, Kara M Plotnikoff, Bram Rochwerg and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 7 institutions in 1 country.

Jeanna Parsons LeighSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada. J.ParsonsLeigh@dal.ca.
Rebecca Brundin-MatherDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Andrea SooDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Emily FitzGeraldSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada.
Sara MizenSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada.
Alexandra DoddsDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sofia AhmedDepartment of Medicine and Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada.
Karen E A BurnsInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Kara M PlotnikoffDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Bram RochwergDepartment of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada.
Jeffrey J PerryDepartment of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Jamie L BenhamDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Kimia HonarmandDivision of Critical Care, Department of Medicine, Western University, London, Ontario, Canada.
Jia HuDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Raynell LangDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Henry T StelfoxDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Kirsten FiestDepartment of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
University of Calgary · CADalhousie University · CALibin Cardiovascular Institute of Alberta · CAMcMaster University · CAOttawa Hospital · CASt. Michael's Hospital · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe explored associations between sociodemographic factors and public beliefs, behaviors, and information acquisition related to the coronavirus disease 2019 (COVID-19) to identify how the experiences of subpopulations in Canada may vary.

methodsWe administered a national online survey through Ipsos Incorporated to adults residing in Canada. Sampling was stratified by population age, sex, and regional distributions. We used descriptive statistics to summarize responses and test for differences based on gender, age, educational attainment, and household income using chi-squared tests, followed by weighted logistic regression.

resultsWe collected 1996 eligible questionnaires between April 26th and May 1st, 2020. Respondents mean age was 50 years, 51% were women, 56% had a post-secondary degree, and 72% had a household income <$100,000. Our analysis found differences within the four demographic groups, with age effects most acutely evidenced. Respondents 65 years and older were more likely to perceive the pandemic as very serious, less likely to report declines in overall health, and more likely to intend to get vaccinated, compared to 18-29 year olds. Women overall were more likely to report negative outcomes than men, including stress due to the pandemic, and worsening social, mental/emotional, and spiritual health. Respondents 45 and older were more likely to seek and trust information from traditional Canadian news sources, while 18-29 year olds were more likely to seek and trust information on social media; overall, women and respondents with a post-secondary degree were more likely to access and trust online information from public health sites.

conclusionThis study found important demographic differences in how adults living in Canada perceived the COVID-19 pandemic, the impacts on their health, and their preferences for information acquisition. Our results highlight the need to consider demographic characteristics in tailoring the format and information medium to improve large scale acceptance and uptake of mitigation and containment measures.

Indexed as

COVID-19AdultCanadaDemographyFemaleHumansMaleMiddle AgedPandemicsPublic OpinionSelf ReportSurveys and QuestionnairesCoronavirusCOVID-19Information disseminationPandemicsPerceptionPublic healthSurveys and questionnaires

Identifiers

PMID35397530
PMCPMC8994420
OpenAlexW4223618149

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.