Adherence to Exercise Training and Physical Function in Older Adults Diagnosed with Knee Osteoarthritis
Bibliographic record
Abstract
Background Knee osteoarthritis (KOA) provokes pain, muscle weakness, and consequent impairment in activities of daily living. On the other hand, adherence to exercise training (ET) is associated with the attenuation of the impairments. The aims of the present study were to a) investigate adherence to ET in older adults with KOA diagnosed attending public service; and b) to analyze the physical function of the older adults with KOA who did not adhere to the ET in public service. Methods The adherence to ET programs was analyzed retrospectively from each patient’s date of KOA diagnosis. After assessing the adherence to ET, the physical function of these older adults diagnosed with KOA (n=19) was analyzed and compared with another group composed of asymptomatic sedentary older adults without evidence of KOA (ASKOA) (n=17). Results Although all older adults with KOA received guidelines to practice ET, only 58% were able to start a program. Additionally, 100% of the sample could not perform ET uninterruptedly. According to the findings, close to 80% of older adults had difficulties scheduling ET sessions in public places. Subjects with KOA (12.1±3.1; IC95%:10.6–13.6) had worse lower limb functional capacity than ASKOA (8.1±1.0; IC95%:7.6–8.6; p<.001; δ=4.0 sec; d=1.7). Likewise, they had a lower dynamic balance than KOA (12.4±2.7; IC95%:11.1–13.7 vs. 8.0±1.1; IC95%:7.4–8.6; p<.001; δ=4.4 sec; d=2.1). Conclusions The investigated sample has a lack of ET adherence by difficulties in scheduling ET sessions in public places. In addition, it demonstrated impairment in physical function in older adults with KOA.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".