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Record W2118091464 · doi:10.4038/cmj.v59i1.6735

Relationship between increased risk of falling and cognitive impairment in residents of an elderly home in the Colombo district

2014· article· en· W2118091464 on OpenAlexaboutno aff
RS Thanthrige, Suranga Dassanayake, Dilshani Dissanayake

Bibliographic record

VenueCeylon Medical Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFalling (accident)Cognitive impairmentMontreal Cognitive AssessmentCognitionGerontologyElderly peopleCognitive declineFear of fallingOlder peoplePhysical therapyPhysical medicine and rehabilitationPoison controlInjury preventionDementiaPsychiatryMedical emergencyInternal medicineDisease

Abstract

fetched live from OpenAlex

Tendency to falling in older people, with and without cognitive impairment, living in an elderly home was assessed. A descriptive analytical study was carried out with 50 elderly people (25 males) aged between 60 - 85 years. Timed Up and Go (TUG) test and, Five Times Sit to Stand Test (FTSST) were used to determine risk of falling and functional lower extremity strength of each participant. The Folstein Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to assess cognition.The cognitive scores were significantly lower in fallers compared to non-fallers (p=0.0001). Fallers demonstrated significantly poor lower extremity strength (p=0.0001). Older people with cognitive impairment demonstrated poor functional lower extremity strength than those without cognitive impairement (p=0.002). The difference in falling tendency between males and females was not statistically significant.

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)0.007
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
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 head0.030
GPT teacher head0.368
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.

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

Citations11
Published2014
Admission routes1
Has abstractyes

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