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Record W4407382584 · doi:10.1177/00914150251317453

Situations of Vulnerability, Life Satisfaction, and Social Support of Older Women and Men: Results From the Canadian Longitudinal Study on Aging (CLSA)

2025· article· en· W4407382584 on OpenAlexafffundabout
Mélanie Levasseur, Daniel Naud, Volker Cihlar, Frank Micheel, Andreas Mergenthaler, Lise Trottier

Bibliographic record

VenueThe International Journal of Aging and Human Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsCentres Intégré Universitaires de Santé et de Services SociauxCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité de Sherbrooke
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsVulnerability (computing)PsychologySocial vulnerabilitySocial supportLife satisfactionPsychological interventionSocioeconomic statusLongitudinal studyGerontologyDemographySocial psychologyMedicinePopulationSociologyPsychiatry

Abstract

fetched live from OpenAlex

Situations of vulnerability are associated with reduced life satisfaction. Although social support moderates the influence of situations of vulnerability, little is known about their associations. This study aimed to document situations of vulnerability and examine their association with life satisfaction among older adults, and the moderating effect of social support. Secondary analyses of cross-sectional data ( n = 21,491; 73.4 ± 0.04) from the Canadian Longitudinal Study on Aging, stratified by sex. Confirmatory factor analysis identified a vulnerability variable from physiological, psychological, socioeconomic and social indicators. Regression models examined the associations. For both sexes, depressive symptoms, chronic conditions and insufficient income best explained vulnerability, followed by dependence in basic activities of daily living, less social participation and living with fewer people. Vulnerability was associated with lower life satisfaction, and social support acted as a buffer against vulnerability. The buffering effect of social support reinforces recommendations concerning policies and interventions designed to increase networks.

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)0.002
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 score0.208
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.069
GPT teacher head0.385
Teacher spread0.315 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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