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Record W2945873847 · doi:10.1111/jgs.15972

Frailty Is Related to Subjective Cognitive Decline in Older Women without Dementia

2019· article· en· W2945873847 on OpenAlexaboutno aff
Katherine A. Gifford, Susan P. Bell, Dandan Liu, Jacquelyn E. Neal, Maxim Turchan, Avantika Saraf Shah, Angela L. Jefferson

Bibliographic record

VenueJournal of the American Geriatrics Society · 2019
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesNational Institute of Neurological Disorders and StrokeNational Institute on AgingNational Institutes of Health
KeywordsMedicineMontreal Cognitive AssessmentDementiaGerontologyCognitionCognitive declineGrip strengthOdds ratioMoodBody mass indexPhysical therapyStroke (engine)Physical medicine and rehabilitationInternal medicineDiseasePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: Physical frailty (or loss of physiologic reserve) is associated with cognitive impairment and dementia. Subjective cognitive decline (SCD) may represent early pathologic changes of dementia. The association between these disease markers is unclear. DESIGN: Cross-sectional analysis. SETTING: Community-based participants from the Vanderbilt Memory & Aging Project. PARTICIPANTS: A total of 306 older adults with normal cognition (NC; n = 174) or mild cognitive impairment (MCI; n = 132). MEASUREMENTS: Frailty was measured using standard methods, and a composite frailty score was calculated. SCD was quantified using the Everyday Cognition Scale (ECog; total score and four domain scores). Objective cognition was assessed with the Montreal Cognitive Assessment (MoCA). Proportional odds models, stratified by sex, related the frailty composite to MoCA and total ECog score adjusting for age, education, body mass index, cognitive diagnosis, depressed mood, Framingham Stroke Risk Profile, apolipoprotein E (APOE ε4) carrier status, and height (for gait speed models). Secondary models related individual frailty components to SCD domains and explored associations in NC only. RESULTS: In women, frailty composite was related to MoCA (odds ratio [OR] = .56; P = .04), a finding attenuated in sensitivity analysis (OR = .59; P = .08). Frailty composite related to ECog total (OR = 2.27; P = .02), planning (OR = 2.63; P = .02), and organization scores (OR = 2.39; P = .03). Increasing gait speed related to lower ECog total (OR = .06; P = .003) and memory scores (OR = .03; P < .001). Grip strength related to lower ECog planning score (OR = .91; P = .04). In men, frailty was unrelated to objective and subjective cognition (P values >.07). Findings were consistent in the NC group. CONCLUSION: Frailty component and composite scores are related to SCD before the presence of overt dementia. Results suggest that this association is present before overt cognitive impairment. Results suggest a possible sex difference in the clinical manifestation of frailty, with primary associations noted in women. Further studies should investigate mechanisms linking early changes among frailty, SCD, and cognition. J Am Geriatr Soc, 1-9, 2019. J Am Geriatr Soc 67:1803-1811, 2019.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.292
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), 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

Citations44
Published2019
Admission routes1
Has abstractyes

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