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Record W4252296774 · doi:10.35790/ecl.v8i1.27138

Gambaran Fungsi Kognitif pada Lanjut Usia di Desa Sendangan Kecamatan Remboken

2019· article· en· W4252296774 on OpenAlexaboutno aff
Nadia V. Roring, Junita M. Nadia.roring gmail.com, Corry N. Mahama

Bibliographic record

Venuee-CliniC · 2019
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentGerontologyCognitive impairmentCognitionPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract: Increased elderly in Indonesia grows in number and affects the health problems such as impaired cognitive function. Examination carried out by using Indonesian version Montreal Cognitive Assessment (MoCA-INA), Trail Making Test (TMT), and the Clock Drawing Test (CDT) are used to determine the cognitive function. This study was aimed to obtain the profile of cognitive function among the elderly at nursing home and outside of nursing home at Sendangan, Remboken. This was a descriptive study with a cross sectional design. The results showed that there were 59 people that met inculsion criteria. The Ina-MoCA examination showed that 94.9% of the elderly had a decline in cognitive function. Moreover, the TMT-A and TMT-B found that 100% of the elderly had impaired cognitive function. Meanwhile, the CDT found that 49.2% of the elderly had impaired cognitive function. In conclusion, the Ina-MoCA, TMT-A, TMT-B, and CDT indicated that the majority of the elderly at Sendangan, Remboken had impaired cognitive function.Keywords: elderly, cognitive function, Ina MoCA, TMT-A, TMT-B, CDT Abstrak: Peningkatan lanjut usia di Indonesia semakin bertambah yang berdampak pada masalah kesehatan, salah satunya ialah gangguan fungsi kognitif. Pemeriksaan Montreal Cognitive Assesment versi Indonesia (INA-MoCA), Trail Making Test (TMT), dan Clock Drawing Test (CDT) dapat digunakan untuk medeteksi gangguan fungsi kognitif, Penelitian ini bertujuan untuk mengetahui gambaran fungsi kognitif pada lanjut usia di Panti Werdha dan luar Panti Werdha di Desa Sendangan Kecamatan Remboken. Jenis penelitian ialah deskriptif dengan desain potong lintang. Hasil penelitian mendapatkan 59 orang yang memenuhi kriteria penelitian. Pemeriksaan Ina-MoCA menunjukkan 94,9% lanjut usia mengalami penurunan fungsi kognitif. Pada pemeriksaan TMT-A dan TMT-B didapatkan 100% lanjut usia terganggu. Pemeriksaan CDT mendapatkan 49,2% lanjut usia terganggu. Simpulan penelitian ini ialah hasil pemeriksaan Ina-MoCA, TMT-A, TMT-B, dan CDT menunjukkan bahwa sebagian besar lansia di Desa Sendangan Kecamatan Remboken memiliki fungsi kognitif yang terganggu.Kata kunci: lanjut usia, fungsi kognitif, Ina MoCA, TMT-A, TMT-B, CDT

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.033
GPT teacher head0.333
Teacher spread0.300 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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