HUBUNGAN KUALITAS TIDUR DENGAN FUNGSI KOGNITIF PADA LANSIA DI PUSKESMAS ANDALAS KOTA PADANG TAHUN 2023
Bibliographic record
Abstract
ABSTRAK \nLansia cenderung memiliki kuantitas tidur yang pendek sehingga mengakibatkan kualitas tidur yang buruk. Faktor yang mempengaruhi kualitas tidur diantaranya fungsi kognitif. Penelitian ini bertujuan untuk mengetahui hubungan kualitas tidur dengan fungsi kogntiif pada lansia di Wilayah Kerja Puskesmas Andalas Kota Padang. Penelitian ini merupakan penelitian deskriptif analitik dengan pendekatan cross-sectional. Teknik pengambilan sampel menggunakan teknik non probability sampling secara purposive sampling dengan jumlah sampel sebanyak 293 lansia. Pengambilan data menggunakan instrument yaitu kuesioner Pittesburgh Sleep Quality Index (PSQI) dan Montreal Cognitive Assesment Versi Indonesia (MoCA-Ina). Analisa data menggunakan uji Chi-Square. Hasil penelitian didapatkan bahwa sebagian besar responden memiliki kualitas tidur buruk (67,6%) dan responden memiliki fungsi kognitif tidak normal (71,7%). Terdapat hubungan yang signifikan antara kualitas tidur dengan fungsi kognitif pada lansia dengan p value 0,000< 0,05. Diharapkan lansia selalu mengadakan kegiatan yang bersifat kelompok, meningkatkan aktivitas seperti membaca, mendengarkan berita, dan memotivasi lansia menjaga dan meningkatkan kualitas tidurnya. \n \nKata Kunci : Lansia, Kualitas Tidur, Fungsi Kognitif Daftar Pustaka : 89 (2003-2022)
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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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.008 |
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".