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Record W4402501292 · doi:10.1177/08982643241279879

Functional Social Support Subtypes Are Associated With Executive Function in Middle-Aged and Older Adults: Findings From the Baseline Comprehensive Cohort of the Canadian Longitudinal Study on Aging

2024· article· en· W4402501292 on OpenAlexaboutno aff
Emily C Rutter, Mark Oremus, Colleen J. Maxwell, Suzanne L. Tyas

Bibliographic record

VenueJournal of Aging and Health · 2024
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersVelux Stiftung
KeywordsSocial supportCohortPsychologyGerontologyCognitionBaseline (sea)Cohort studyAdaptation (eye)Activities of daily livingDevelopmental psychologyLongitudinal studyClinical psychologyMedicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Objectives We investigated whether functional social support—the degree to which one perceives support is available when needed—is associated with executive function, a key cognitive domain for everyday functioning and adaptation to change. Methods Analyses ( n = 23,491) utilized cross-sectional data from the Comprehensive cohort of the Canadian Longitudinal Study on Aging (CLSA), a population-based study of community-dwelling adults aged 45–85 years. Executive function was assessed by neurocognitive battery. Perceived social support was measured using the 19-item Medical Outcomes Study-Social Support Survey. Logistic regression models were adjusted for sociodemographic, health, and social covariates. Results Positive social interactions as well as affectionate and emotional/informational functional social support were positively associated with executive function. Discussion Social support plays an important role in cognitive health. Diversifying social programming beyond tangible social support to target other subtypes of support may help preserve executive function in middle-aged and older adults.

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 score0.186
Threshold uncertainty score0.961

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.098
GPT teacher head0.365
Teacher spread0.268 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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