Evidence map›Paper›PMID 36517798›Full record

ArticleBMC public health2022

Emotional response patterns, mental health, and structural vulnerability during the COVID-19 pandemic in Canada: a latent class analysis.

Chris Richardson, Trevor Goodyear, Allie Slemon, Anne Gadermann, Kimberly C Thomson, Zachary Daly, Corey McAuliffe, Javiera Pumarino, Emily K Jenkins

Open access · goldAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 1 country.

Chris RichardsonSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Trevor GoodyearSchool of Nursing, University of British Columbia, T201-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
Allie SlemonSchool of Nursing, University of British Columbia, T201-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
Anne GadermannSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Kimberly C ThomsonSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Zachary DalySchool of Nursing, University of British Columbia, T201-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
Corey McAuliffeSchool of Nursing, University of British Columbia, T201-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
Javiera PumarinoSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Emily K JenkinsSchool of Nursing, University of British Columbia, T201-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada. emily.jenkins@ubc.ca.
University of British Columbia · CALearning Partnership · CACentre for Advancing Health Outcomes · CA

Funding

Mentoring the next generation of addiction clinician scientists while responding to the opioid epidemicR25DA037756 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI FAIRBAIRN, NADIA · 2014 to 2023
$3.6M
CIHRNIDA NIH HHS R25 DA037756
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has contributed to increases in negative emotions such as fear, worry, and loneliness, as well as changes in positive emotions, including calmness and hopefulness. Alongside these complex emotional changes has been an inequitable worsening of population mental health, with many people experiencing suicidal ideation and using substances to cope. This study examines how patterns of co-occurring positive and negative emotions relate to structural vulnerability and mental health amid the pandemic.

methodsData are drawn from a cross-sectional monitoring survey (January 22-28, 2021) on the mental health of adults in Canada during the pandemic. Latent class analysis was used to group participants (N = 3009) by emotional response pattern types. Descriptive statistics, bivariate cross-tabulations, and multivariable logistic regression were used to characterize each class while quantifying associations with suicidal ideation and increased use of substances to cope.

resultsA four-class model was identified as the best fit in this latent class analysis. This included the most at-risk Class 1 (15.6%; high negative emotions, low positive emotions), the mixed-risk Class 2 (7.1%; high negative emotions, high positive emotions), the norm/reference Class 3 (50.5%; moderate negative emotions, low positive emotions), and the most protected Class 4 (26.8% low negative emotions, high positive emotions). The most at-risk class disproportionately included people who were younger, with lower incomes, and with pre-existing mental health conditions. They were most likely to report not coping well (48.5%), deteriorated mental health (84.2%), suicidal ideation (21.5%), and increased use of substances to cope (27.2%). Compared to the norm/reference class, being in the most at-risk class was associated with suicidal ideation (OR = 2.84; 95% CI = 2.12, 3.80) and increased use of substances to cope (OR = 4.64; 95% CI = 3.19, 6.75).

conclusionsThis study identified that adults experiencing structural vulnerabilities were disproportionately represented in a latent class characterized by high negative emotions and low positive emotions amid the COVID-19 pandemic in Canada. Membership in this class was associated with higher risk for adverse mental health outcomes, including suicidal ideation and increased use of substances to cope. Tailored population-level responses are needed to promote positive coping and redress mental health inequities throughout the pandemic and beyond.

Indexed as

COVID-19Mental HealthAdultCanadaCross-Sectional StudiesEmotionsHumansLatent Class AnalysisPandemicsSuicidal IdeationCovid-19Cross-sectional surveyEmotionsLatent class analysisMental healthPublic healthSocial determinants of healthSocial inequitiesStructural vulnerability

Identifiers

PMID36517798
PMCPMC9748893
OpenAlexW4311392361

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.