Dispositional mindfulness: Is it related to knee osteoarthritis population’s common health problems?
Bibliographic record
Abstract
BACKGROUND: A growing body of research supports dispositional mindfulness as important in influencing physical and mental health as well as physical activities in patients with chronic illnesses. Knee osteoarthritis (OA), which often causes health problems, is one of the most common chronic illnesses, but less is known about dispositional mindfulness in relation to this condition. OBJECTIVE: To explore possible associations between dispositional mindfulness and physical and mental health as well as physical activity in knee OA patients. METHODS: For this cross-sectional study, we recruited a purposive sample of orthopedic clinic patients in hospitals in Southern Taiwan. Instruments included the Mindful Attention Awareness Scale (MAAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Health-related characteristics were also measured. Demographic statistics, bivariate correlations, and multiple linear regression informed our exploration of potentially related factors for dispositional mindfulness. RESULTS: Participants with knee OA (N = 250) were mostly elderly (88%), female (70.5%), and married (84%). Marital status, perceived health status, depression, and physical activity were associated with dispositional mindfulness. Better perceived health, lower depression, and greater physical activity were significantly associated with greater dispositional mindfulness. However, the severity of symptoms, fear of falling, and exercise self-efficacy did not reach statistical significance in relation to dispositional mindfulness. CONCLUSION: Greater emphasis should be placed on the cultivation of mindfulness to enhance individuals' perceived health, decrease their depressive mood, and promote their engagement in physical activity, which could indirectly alleviate their experience of pain and improve their physical function, yielding better quality of life and well-being. Future research should focus on interventions to apply dispositional mindfulness in order to determine whether dispositional mindfulness can effectively improve physical and mental health as well as physical activity in those with knee OA.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".