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Record W4366472701 · doi:10.1080/13607863.2023.2202616

Prolonged social isolation and cognitive function in older adults: lack of informal social contact versus formal social activity as the source of social isolation

2023· article· en· W4366472701 on OpenAlexaff
Jinho Kim, Gum‐Ryeong Park

Bibliographic record

VenueAging & Mental Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSocial isolationSocial contactIsolation (microbiology)PsychologySocial functionCognitionSocial withdrawalSocial engagementDevelopmental psychologyGerontologyMedicineSociologyPsychiatry

Abstract

fetched live from OpenAlex

Objectives This study investigates the cognitive function trajectories associated with prolonged social isolation, while distinguishing between a lack of informal social contact and a lack of formal social activity as the source of social isolation.Methods Data from the Korean Longitudinal Study of Ageing spanning 12 years between 2006 and 2018 were analyzed. A lack of frequent informal social contact or formal social activity was used to assess social isolation, and cognitive function was measured by Korean Mini-Mental State Examination. Fixed effects regression models were used to account for unobserved individual-level confounders.Results A prolonged absence of frequent informal social contact was linked to a decline in cognitive function up to the three waves of exposure (b = −2.135), but cognitive function has not declined further since then. A persistent lack of formal social activity was associated with a decline in cognitive function up to the fifth and subsequent waves of exposure (b = −3.073). No gender differences were observed in these relationships.Conclusion Prolonged social isolation, particularly a lack of formal social activity, can pose a significant threat to the cognitive health of 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.999

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 studies0.0030.000
Scholarly communication0.0000.001
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 head0.038
GPT teacher head0.377
Teacher spread0.339 · 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

Citations29
Published2023
Admission routes1
Has abstractyes

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