MétaCan
Menu
Back to cohort
Record W3167290753 · doi:10.17269/s41997-021-00524-5

Social participation and depressive symptoms of carer-employees of older adults in Canada: a cross-sectional analysis of the Canadian Longitudinal Study on Aging

2021· article· en· W3167290753 on OpenAlexafffundvenueabout
Li Wang, Chris Ji, Peter Kitchen, Allison Williams

Bibliographic record

VenueCanadian Journal of Public Health · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of WaterlooMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsCross-sectional studyGerontologyDepressive symptomsSuccessful agingLongitudinal studyPsychologyAging in placeHealthy agingMedicinePsychiatryAnxiety

Abstract

fetched live from OpenAlex

OBJECTIVES: This study used two waves of data from the Canadian Longitudinal Study on Aging (CLSA) to investigate the association between social participation and depressive symptoms in carer-employees (CEs) and non-carer-employees (NCEs). METHODS: Adopting Pearlin et al.'s stress model, multivariate linear regression was used to examine the relationships among carer role, social participation, and depressive symptoms in Canadian employees using the first two waves of CLSA data, while controlling for possible confounders. RESULTS: Higher levels of social participation were found to be associated with lower depressive symptoms in both waves. Social participation was found to moderate depressive symptoms for CEs when compared with NCEs in Wave 2 but not in Wave 1. CONCLUSION: The present study highlights the importance of social participation in reducing CEs' depressive symptoms. The findings provide support for innovative policy and intervention efforts to encourage and enhance social participation at work via carer-friendly workplace policies for CEs across Canada.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.058
GPT teacher head0.360
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2021
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Public HealthSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207