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Record W7038160589

HUBUNGAN KUALITAS TIDUR DENGAN FUNGSI KOGNITIF PADA LANSIA DI PUSKESMAS ANDALAS KOTA PADANG TAHUN 2023

2023· dissertation· id· W7038160589 on OpenAlexaboutno aff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2023
Typedissertation
Languageid
FieldHealth Professions
TopicMethodologies in Health Research and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSleep qualityQuality (philosophy)Occupational exposureSleep apnea syndromes
DOInot available

Abstract

fetched live from OpenAlex

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)

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0540.008

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.

Opus teacher head0.180
GPT teacher head0.416
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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