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Record W4210826460 · doi:10.1093/geronb/gbac035

Levels of Depression and Anxiety Among Informal Caregivers During the COVID-19 Pandemic: A Study Based on the Canadian Longitudinal Study on Aging

2022· article· en· W4210826460 on OpenAlexafffundabout
Andrew Wister, Lun Li, Barbara Mitchell, Christina Wolfson, Jacqueline M. McMillan, Lauren E. Griffith, Susan Kirkland, Parminder Raina, Andrew P. Costa, Laura N. Anderson, Cynthia Balion, Nicole E. Basta, Benoît Cossette, Mélanie Levasseur, Scott M. Hofer, Theone Paterson, David B. Hogan, Teresa Liu‐Ambrose, Verena Menec, Philip St. John, Gerald Mugford, Zhiwei Gao, Vanessa Taler, Patrick S. R. Davidson, Theodore D. Cosco

Bibliographic record

VenueThe Journals of Gerontology Series B · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsDalhousie UniversityMcMaster UniversityImpactMcGill UniversityUniversity of CalgaryMcGill University Health CentreSimon Fraser University
FundersCanadian Institutes of Health ResearchMcMaster Institute for Research on Aging, McMaster UniversityPublic Health Agency of CanadaCanada Foundation for InnovationMcMaster University
KeywordsGeneralizability theoryPandemicAnxietyCoronavirus disease 2019 (COVID-19)Longitudinal studyDepression (economics)PsychologyClinical psychologyDepressive symptomsLimiting2019-20 coronavirus outbreakGerontologyDiseaseMedicinePsychiatryDevelopmental psychologyVirologyOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

OBJECTIVES: Studies on informal caregiving during the coronavirus disease 2019 (COVID-19) pandemic have mainly focused on subgroups of caregivers using cross-sectional or convenience samples, limiting the generalizability of findings. Conversely, this longitudinal study examines the effects of the pandemic and caregiving factors on depressive symptoms and anxiety over 9 months among informal caregivers in Canada. METHODS: This study uses data from the Baseline (2011-2015), Follow-up 1 (2015-2018), and COVID-19 Study Baseline survey (April to May 2020) and Exit surveys (September to December 2020) of the Canadian Longitudinal Study on Aging (CLSA). A total of 14,118 CLSA participants who were caregivers at Follow-up 1 and participated in the COVID-19 studies were selected. Linear mixed models were used to examine the effect of sex of caregiver, changes in caregiving (increase in caregiving hours and inability to care), and location of care (same household, another household, and health care institution) on depressive symptoms and anxiety from COVID-19 studies Baseline to Exit surveys (about 6-7 months apart). RESULTS: Informal caregivers reported more frequent depressive symptoms from the COVID-19 Baseline to Exit surveys, but not anxiety. Female caregivers reported greater depressive symptoms and anxiety, and male caregivers exhibited a greater increase in depressive symptoms and anxiety over time. More caregiving hours and inability to provide care were significantly positively associated with depressive symptoms and anxiety. Also, in-home caregivers reported more depressive symptoms and anxiety than those who cared for someone in health care institution, and more anxiety than those who cared for some in another household. DISCUSSION: The findings shed light on the change in mental health among informal caregivers during the outset of the pandemic. The demonstrated associations between studied variables and mental health among informal caregivers provide empirical evidence for intervention programs aiming to support caregivers, particularly those who are female, and providing intensive care at home.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.354
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2022
Admission routes3
Has abstractyes

Explore more

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