HUBUNGAN FUNGSI KOGNITIF DENGAN GANGGUAN KESEIMBANGAN POSTURAL PADA LANSIA
Bibliographic record
Abstract
Latar Belakang: Lanjut usia sering mengalami penurunan fungsi kognitif yang menyebabkan penurunan persepsi, sensori, respon motorik dan penurunan reseptor propioseptif pada sistem saraf pusat (SSP) sehingga dapat menyebabkan gangguan keseimbangan postural. Penelitian mengenai hal ini belum banyak diteliti khususnya di Jawa Tengah. Tujuan: : Untuk mengetahui hubungan fungsi kogntiif dengan gangguan keseimbangan postural pada lansia. Metode: Penelitian observasional dengan rancangan belah lintang. Pengambilan sampel menggunakan consequtive sampling. Subjek penelitian adalah lansia berusia 60-80 tahun, dapat berjalan tanpa alat bantu dan tidak memiliki riwayat depresi, stroke, Parkinson, trauma kepala serta tidak ada kelemahan/cacat tungkai. Penelitian dilaksanakan di Unit Pelayanan Sosial Pucanggading dan di Kelurahan Sampangan (Bendan Ngisor) Kota Semarang periode bulan April-Mei 2018. Subjek penelitian diperiksa fungsi kognitif menggunakan Montreal Cognitive Assesment versi Indonesia (MoCa-Ina) dan tes keseimbangan menggunakan test Rmberg dan R omberg dipertajam. Faktor perancu dalam penelitian ini adalah BMI ( Body Mass Index), diabetes melitus, hipertensi dan aktivitas fisik. Data dianalisis dengan uji Chi -Square. Hasil dianggap bermakna bila nilai p<0,05. Hasil: Didapatkan hubungan bermakna antara fungsi kgnitif dengan gangguan keseimbangan postural pada lansia (p=0,016). Tidak didapatkan hubungan bermakna antara faktor perancu terhadap gangguan keseimbangan postural pada lansia. Simpulan: Terdapat hubungan bermakna antara fugnsi kogntif dengan gangguan keseimbangan postural pada lansia. Kata Kunci: Gangguan Keseimbangan Postural, Fungsi Kognitif, Moca-Ina, Test Romberg, Test Romberg Dipertajam.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
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".