Evidence map›Paper›PMID 36924671›Full record

ArticleHealth policy (Amsterdam, Netherlands)2023

Trajectories of the socioeconomic gradient of mental health: Results from the CLSA COVID-19 Questionnaire Study.

Yukiko Asada, Michel Grignon, Jeremiah Hurley, Samuel A Stewart, Nathan K Smith, Susan Kirkland, Jacqueline McMillan, Lauren E Griffith, Christina Wolfson, Parminder Raina and 1 more

Abstract read
In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2023. 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
–field-weighted citation impact
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.

  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

11 authors.

Yukiko AsadaDepartment of Community Health and Epidemiology, Dalhousie University, 5790 University Avenue, Halifax, Nova Scotia, B3H1V7, Canada. Electronic address: yukiko.asada@dal.ca.
Michel GrignonDepartment of Economics, Department of Health, Aging & Society, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Ontario, L8S4M4, Canada. Electronic address: grignon@mcmaster.ca.
Jeremiah HurleyDepartment of Economics, Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, Ontario, L8S4M4, Canada. Electronic address: hurley@mcmaster.ca.
Samuel A StewartDepartment of Community Health and Epidemiology, Dalhousie University, 5790 University Avenue, Halifax, Nova Scotia, B3H1V7, Canada. Electronic address: sam.stewart@dal.ca.
Nathan K SmithDepartment of Community Health and Epidemiology, Dalhousie University, 5790 University Avenue, Halifax, Nova Scotia, B3H1V7, Canada. Electronic address: nathan.smith@dal.ca.
Susan KirklandDepartments of Community Health & Epidemiology and Medicine, Dalhousie University, 5790 University Avenue, Halifax, Nova Scotia, B3H1V7, Canada. Electronic address: susan.kirkland@dal.ca.
Jacqueline McMillanDepartment of Medicine, Section of Geriatric Medicine and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada. Electronic address: Jacqueline.McMillan@albertahealthservices.ca.
Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada. Electronic address: griffith@mcmaster.ca.
Christina WolfsonDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada. Electronic address: christina.wolfson@mcgill.ca.
Parminder RainaMcMaster Institute for Research on Aging, Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada. Electronic address: praina@mcmaster.ca.
Canadian Longitudinal Study on Aging (CLSA) Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the coronavirus disease (COVID-19) pandemic prolongs, documenting trajectories of the socioeconomic gradient of mental health is important. We describe changes in the prevalence and absolute and relative income-related inequalities of mental health between April and December 2020 in Canada. We used data from the Canadian Longitudinal Study on Aging (CLSA) COVID-19 Questionnaire Study and the pre-pandemic CLSA Follow-up 1. We estimated the prevalence proportion, the concentration index (relative inequality), and the generalized concentration index (absolute inequality) for anxiety and self-reported feeling generally unwell at multiple points in April-December 2020, overall, by sex and age group, by region, and among those who reported poor or fair overall health and mental health pre-pandemic. Overall, the prevalence of anxiety remained unchanged (22.45 to 22.10%, p = 0.231), but self-reported feeling generally unwell decreased (9.83 to 5.94%, p = 0.004). Relative and absolute income-related inequalities were unchanged for both anxiety and self-reported feeling generally unwell, with exceptions of an increased concentration of self-reported feeling generally unwell among the poor, measured by the concentration index, overall (-0.054 to -0.115, p = 0.004) and in Ontario (-0.035 to -0.123, p = 0.047) and British Columbia (-0.055 to -0.141, p = 0.044). The COVID-19 pandemic appeared to neither exacerbate nor ameliorate existing income-related inequalities in mental health among older adults in Canada between April and December 2020. Continued monitoring of inequalities is necessary.

Indexed as

COVID-19Mental HealthAgedHumansLongitudinal StudiesOntarioPandemicsSocioeconomic FactorsSurveys and QuestionnairesCOVID-19Health inequalitiesMental health

Identifiers

PMID36924671
PMCPMC9985544

What OpenQuestion holds

Textmetadata
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.