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Record W3198622329 · doi:10.36341/jif.v4i02.1864

Hubungan Fungsi Kognitif Dengan Keseimbangan Pada Lansia Dengan Mild Cognitive Impairment

2021· article· en· W3198622329 on OpenAlexaboutno aff
Muthiah Munawwarah, Atika Rezky Ramadhani, Jerry Maratis, Kesit Ivanali

Bibliographic record

VenueJurnal Ilmiah Fisioterapi · 2021
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionBalance (ability)Cognitive impairmentPsychologyMedicinePhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

Objective: To determine the relationship between cognitive function and balance in the elderly within Mild Cognitive Impairment (MCI) conditions at Posyandu, Talawi, Taratak Capo Hamlet. Method: This type of research is a descriptive correlative study using a cross sectional approach with the identification of purposive sampling on 72 sample. To assess cognitive levels, its make use of the Indonesian-Montreal Cognitive Assessment (INA-MoCA) questionnaire and balance measurement using the Time Up and Go Test (TUGT). Results: Correlation test with Pearson Product Moment obtained a significant relationship with p = 0.014 where p <value α (0.05) with r = 0.290, Which means there is a significant correlation between cognitive function and balance, where the higher the value of cognitive function, the higher balance value. Mean and standard deviation of Cognitive Function is 19.49 ± 2.089 and 18.06 ± 2.443 for balance. Conclusion: There is a relationship between cognitive function and balance in the elderly with Mild Cognitive Impairment (MCI) conditions in Posyandu, Talawi District, Taratak Capo Hamlet.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.312
Teacher spread0.287 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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