HUBUNGAN ANTARA USIA, OBESITAS, AKTIFITAS FISIK DENGAN KEJADIAN OSTEOARTHRITIS
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 penyakit sendi degeneratif yang menyerang tulang rawan sendi. Prevalensi osteoarthritis sebesar 9,6% untuk pria dan 18,0% wanita di atas usia 60 tahun. 80% penderita osteoarthritis akan mengalami keterbatasan gerak, dan 25% tidak dapat melakukan aktivitas utama kehidupan sehari-hari. Osteoarthritis dapat memperburuk kondisi fisik dan mental pasien, membatasi kemampuan mereka untuk menjalani kehidupan yang mandiri, dan memperburuk kesejahteraan mereka secara keseluruhan. Penelitian ini bertujuan untuk mengetahui hubungan antara usia, obesitas, dan aktivitas fisik dengan osteoarthritis di poli rawat jalan rumah sakit PKU Muhammadiyah Mayong Jepara. Penelitian ini merupakan penelitian observasi dengan jenis penelitian analitik korelasi. Populasinya yaitu pasien yang menderita osteoarthritis sebanyak 58 pasien. Sampel sebesar 46 responden melalui teknik pusposive sampling. Instrumen menggunakan Kuesioner IPAQ (International Physical Activity Questionnare) dan Kuesioner WOMAC (Western Ontario and McMaster University Osteoarthritis Index). Analisa bivariat dalam penelitian ini menggunakan uji Spearman Rho. Hasil penelitian menunjukkan bahwa ada hubungan usia (0,031), obesitas (0,000) dan aktifitas fisik (0,016) dengan kejadian osteoarthritis di RS PKU Muhammadiyah Mayong Jepara.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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