Hubungan Osteoarthitis dengan Risiko Jatuh pada Lansia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Osteoarthritis adalah jenis arthritis yang paling sering terjadi pada lansia berusia 60 tahun yang dapat menimbulkan nyeri persendian di tangan, leher, punggung, pinggang, dan sendi lutut. Penelitian ini bertujuan untuk mengetahui hubungan osteoarthritis dengan risiko jatuh pada lansia. Penelitian ini menggunakan desain penelitian deskriptif korelasi dengan pendekatan cross sectional. Sampel penelitian adalah 105 orang responden yang diambil berdasarkan kriteria inklusi menggunakan metode purposive sampling. Analisis yang digunakan analisis univariat untuk melihat distribusi frekuensi dan bivariat menggunakan uji Chi-Square. Alat pengumpulan data yang digunakan adalah kuesioner Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) dan Stopping Elderly Accident, Death, and Injuries (STEADI) yang sudah dilakukan uji validitas dan reliabilitas. Hasil penelitian ini menunjukkan bahwa mayoritas responden mengalami osteoarthritis berat sebanyak 46 orang (43,8%) dan mayoritas responden beresiko jatuh sebanyak 74 orang (70,5%). Hasil penelitian ini menunjukkan adanya hubungan antara osteoarthritis dan risiko jatuh pada lansia di Puskesmas Rejosari dengan p-value (0,002) α (0,05).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it