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Record W7125569379

HUBUNGAN AKTIVITAS FISIK DENGAN STATUS KLINIS PASIENOSTEOARTHRITIS LUTUT DI RS ADVENT BANDAR LAMPUNG

2025· other· W7125569379 on OpenAlexaboutno aff
Debora Agustina Idriyanti

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisPhysical activityUnivariate analysisStatistical significancePhysical examinationInclusion and exclusion criteria
DOInot available

Abstract

fetched live from OpenAlex

Background: Osteoarthritis (OA) is a major cause of pain and decreased joint function, significantly impacting patient quality of life. Physical activity is recommended as an important part of the management of knee OA because it can help reduce pain and improve physical function. This study aims to examine the relationship between physical activity and the clinical status of knee OA patients as an efforts to improve their quality of life. Methods: This study used a cross-sectional design. A total of 50 respondents who met the inclusion and exclusion criteria were enrolled. Data were collected through interviews using two instruments: the International Physical Activity Questionnaire (IPAQ) to measure physical activity levels, and the Western Ontario and McMaster Universities Arthritis Index (WOMAC) to assess the clinical status of OA patients. Results: Univariate analysis results showed that the average physical activity of respondents was 3639.1 MET-minutes/week, while the average clinical status was 56.20. Bivariate analysis using the Pearson statistical test found a significant relationship between physical activity and clinical status (<0.001) with a moderate correlation strength and a negative direction (r=-0.502). This finding indicates that regular physical activity of light to moderate intensity can improve clinical status. Conclusions: There is a significant correlation between physical activity and the clinical status of knee osteoarthritis patients at Adventist Hospital Bandar Lampung. Keywords: clinical status, knee osteoarthritis, physical activity Latar Belakang: Osteoarthritis (OA) merupakan salah satu penyebab utama nyeri dan penurunan fungsi sendi, yang berdampak signifikan terhadap kualitas hidup patient. Aktivitas fisik direkomendasikan sebagai bagian penting dalam penatalaksanaan OA lutut karena dapat membantu mengurangi nyeri dan meningkatkan fungsi fisik. Penelitian ini bertujuan untuk melihat hubungan antara aktivitas fisik dengan status klinis pasien OA lutut guna mendukung upaya peningkatan kualitas hidup pasien. Metode Penelitian: Penelitian ini menggunakan desain penelitian cross sectional. Sebanyak 50 responden yang memenuhi kriteria inklusi dan eksklusi diikutsertakan dalam penelitian ini. Data dikumpulkan melalui wawancara menggunakan 2 instrumen, yaitu International Physical Activity Questionnaire (IPAQ) untuk mengukur tingkat aktivitas fisik dan Western Ontario and McMaster Universities Arthritis Index (WOMAC) untuk menilai status klinis pasien OA. Hasil: Hasil analisis univariat menunjukkan bahwa rerata aktivitas fisik responden sebesar 3639,1 MET-menit/minggu, sedangkan rerata status klinis diperoleh adalah 56,20. Pada analisis bivariat menggunakan uji statistika Pearson, ditemukan adanya hubungan yang signifikan antara aktivitas fisik dengan status klinis (<0,001) dengan kekuatan korelasi sedang dan arah negatif (r=-0,502). Temuan ini menunjukkan bahwa aktivitas fisik rutin dengan intensitas ringan hingga sedang dapat memperbaiki status klinis. Kesimpulan: Terdapat korelasi bermakna antara aktivitas fisik dengan status klinis pasien osteoarthritis lutut di RS Advent Bandar Lampung. Kata Kunci: aktivitas fisik, osteoarthritis lutut, status klinis

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.002

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.

Opus teacher head0.005
GPT teacher head0.190
Teacher spread0.186 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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