Evidence map›Paper›PMID 38117417›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2024

Factors associated with change in moderate or severe symptoms of anxiety and depression in community-living adults and older adults during the COVID-19 pandemic.

Helen-Maria Vasiliadis, Jessica Spagnolo, Mary Bartram, Marie-Josée Fleury, Jean-Philippe Gouin, Sébastien Grenier, Pasquale Roberge, Grace Shen-Tu, Jennifer E Vena, Catherine Lamoureux-Lamarche and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Helen-Maria VasiliadisDépartement des sciences de la santé communautaire, Université de Sherbrooke, Sherbrooke, Québec, Canada. helen-maria.vasiliadis@usherbrooke.ca.ORCID 0000-0003-0186-6060
Jessica SpagnoloDépartement des sciences de la santé communautaire, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Mary BartramMental Health Commission of Canada, Ottawa, Ontario, Canada.
Marie-Josée FleuryDouglas Mental Health University Institute, Verdun, Québec, Canada.
Jean-Philippe GouinDepartment of Psychology, Concordia University, Montreal, Québec, Canada.
Sébastien GrenierCentre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, Québec, Canada.
Pasquale RobergeDépartement de médecine familiale et d'urgence, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Grace Shen-TuAlberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alberta, Canada.
Jennifer E VenaAlberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Calgary, Alberta, Canada.
Catherine Lamoureux-LamarcheDépartement des sciences de la santé communautaire, Université de Sherbrooke, Sherbrooke, Québec, Canada.
JianLi WangDepartment of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
Université de Sherbrooke · CAAlberta Health Services · CAInstitut Universitaire de Gériatrie de Montréal · CADalhousie University · CADouglas Mental Health University Institute · CAMental Health Commission of Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFew are the longitudinal studies on the changes in moderate or severe symptoms of anxiety or depression (MSS-ANXDEP) from before to during the COVID-19 pandemic in Canada. The aim was to study the change in MSS-ANXDEP and associated sociodemographic, economic, psychosocial, health behaviour and lifestyle, and clinical factors.

methodsThe current sample includes 59,997 adults aged ≥ 35 years participating in the 2018 and 2020 health surveys of the 5 established cohorts of the Canadian Partnership for Tomorrow's Health (CanPath). MSS-ANXDEP was based on a cutoff score ≥ 10 on the 7-item Generalized Anxiety Disorder Scale and Patient Health Questionnaire (PHQ-8). Change in MSS-ANXDEP was categorized as follows: no MSS-ANXDEP, remitted, incident, and persistent. Multinomial regressions were used to study MSS-ANXDEP as a function of sociodemographic, economic, psychosocial, health behaviours and lifestyle, and clinical factors.

resultsSociodemographic and economic (i.e. age, gender, cohort, race/ethnicity, lower income, decreased in income, work status, being an essential worker), lifestyle and health behaviours (i.e. smoking, cannabis and alcohol use, drinking more alcohol), psychosocial (i.e. provide help to others, information and instrumental support, and change in relationships with friends, family, and partner) and clinical factors (i.e. lifetime mental disorder and multimorbidity) were associated with remitted, incident, and persistent MSS-ANXDEP.

conclusionHealth and socio-economic factors were associated with changes in symptoms of anxiety and depression during the pandemic, further increasing inequities in mental health needs. Public health campaigns on the importance of healthy behaviours should continue and health policies should reduce economic and social barriers to integrated substance use and mental health care.

Indexed as

COVID-19PandemicsAgedAnxietyCanadaDepressionHumansAnxietyChange in symptomsCOVID-19DepressionPandemicPsychosocialSocio-economic, health and lifestyle behavioursTemporal patterns

Identifiers

PMID38117417
PMCPMC11006639
OpenAlexW4389992820

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.