Kekuatan Genggaman Tangan dan Fungsi Kognitif sebagai Indikator Klinis terhadap Kemandirian Aktivitas Instrumental Sehari-hari
Bibliographic record
Abstract
Kemandirian lansia dalam menjalankan aktivitas instrumental sehari-hari (IADL) sangat bergantung pada fungsi motorik dan fungsi kognitif. Namun, hubungan spesifik antara kekuatan genggaman tangan, fungsi kognitif, dan kemandirian IADL masih perlu diteliti lebih lanjut, khususnya pada lansia wanita. Penelitian ini menggunakan desain cross-sectional dengan total sampel 28 lansia wanita berusia ≥ 60 tahun. Kekuatan genggaman tangan diukur menggunakan handgrip dynamometer, fungsi kognitif dinilai dengan Montreal Cognitive Assessment versi Indonesia (MoCA-Ina), dan kemandirian IADL diukur dengan instrumen The Lawton Instrumental Activities of Daily Living (Lawton IADL). Analisis data menggunakan uji korelasi Spearman untuk mengetahui korelasi antar variabel. Hasil analisis korelasi menunjukkan kekuatan genggaman tangan berhubungan secara signifikan dan sedang-kuat dengan kemandirian IADL (r = 0,53; p = 0,01), serta fungsi kognitif berhubungan sedang dan signifikan dengan kemandirian IADL (r = 0,40; p = 0,03). Namun, korelasi antara kekuatan genggaman tangan dan fungsi kognitif lemah dan tidak signifikan (r = 0,29; p = 0,12). Penelitian ini menunjukkan bahwa kekuatan genggaman tangan dan fungsi kognitif memiliki hubungan yang signifikan dengan kemandirian aktivitas instrumental sehari-hari (IADL) pada lansia wanita. Hal ini menegaskan bahwa kekuatan genggaman tangan dan fungsi kognitif merupakan indikator penting kemandirian IADL pada lansia wanita.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".