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Record W4415546568 · doi:10.1177/07334648251386107

Assessing the Mediating Roles of Global Sensory Impairment, Social Isolation, and Loneliness in the Association Between Education and Cognitive Function

2025· article· en· W4415546568 on OpenAlexaboutno aff
Alyssa W. Goldman, Kristen Wroblewski, Jayant M. Pinto

Bibliographic record

VenueJournal of Applied Gerontology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsnot available
FundersNational Institute of Environmental Health SciencesNational Institute on Aging
KeywordsLonelinessSocial isolationCognitionDementiaAssociation (psychology)Psychological interventionSocial cognitive theoryMontreal Cognitive Assessment

Abstract

fetched live from OpenAlex

Education is a key predictor of cognitive function and dementia. Sensory impairments and social well-being are underexplored modifiable pathways through which education may influence cognitive function. Using longitudinal data from the National Social Life, Health, and Aging Project, we created a latent measure of global sensory impairment (GSI) encompassing all five "classical" senses. We estimated the indirect influence of education on Montreal Cognitive Assessment (MoCA) scores-our primary measure of cognitive function-through GSI, loneliness, and social isolation. Positive dementia screening was a secondary outcome. GSI accounted for 5.32% and social isolation for 3.79% of college attendance's influence on MoCA scores. For years of education, GSI accounted for 3.87% and social isolation for 2.85% of its influence on MoCA scores. Loneliness accounted for smaller percentages. Sensory impairments and social isolation may be targets for public health interventions aimed at reducing educational disparities in cognitive function and improving older adults' quality of life.

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 score0.087
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.075
GPT teacher head0.348
Teacher spread0.273 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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