Yoga improves occupational performance, depression, and daily activities for people with chronic pain
Notice bibliographique
Résumé
BACKGROUND: Chronic pain is a complex accumulation of physical, psychological, and social conditions, thus interventions that address pain and promote occupational performance are needed. A holistic intervention, with mind and body components, is likely necessary to best treat the complexities of chronic pain. Thus, we developed and tested a yoga intervention for people with chronic pain. OBJECTIVES: In a randomized control trial (RCT), participants with chronic pain were randomized to a yoga intervention or usual care group. Between and within group differences for pre-and post-outcome measure scores were assessed for: occupational performance, completion of activities, and depression. METHODS: Pilot RCT with participant allocation to 8 weeks of yoga or usual care. Both groups received ongoing monthly self-management programming. Data were collected before and after the 8-week intervention. Participants were randomized to yoga or usual care after baseline assessments. Demographics were collected and measures included: Canadian Occupational Performance Measure (COPM) to assess occupational performance; the 15-item Frenchay Activities Index (FAI)(activities); and the 9-item Patient Health Questionnaire (PHQ-9) for depression. Independent t-tests were used to assess differences between groups. Paired t-tests were used to assess differences between pre- and post 8-week intervention for both the yoga and the usual care groups. Percent change scores and effect sizes were calculated. RESULTS: 83 people were recruited for the study and completed baseline assessments; 44 individuals were randomized to yoga and 39 to the control group. The average age of all participants was 51.4±10.5 years, 68% were female; and 60% had at least some college education. There were no significant differences in demographics or outcome measures between groups at baseline or 8 weeks; however, the study was not powered to see such differences. Individuals randomized to the control group did not significantly improve in any outcome measure over the 8 weeks. There were significant improvements in COPM performance and COPM satisfaction scores for individuals randomized to the yoga group; both scores significantly improved. COPM performance improved by 27% with a moderate to large effect size (3.66±1.85 vs 4.66±1.93, p < 0.001, d = 0.76). COPM satisfaction significantly improved by 78% (2.14±2.31 vs. 3.80±2.50, p < 0.001) and had a large effects size (d = 1.02). FAI scores improved, indicating increased activity or engagement in daily occupation during the 8-week intervention. Scores increased by 5% (38.13±8.48 vs. 39.90±8.57, p = 0.024) with a small effect size (d = 0.37). Depression significantly decreased from 13.21±5.60 to 11.41±5.82, p = 0.041, with a small effect size. CONCLUSION: Data from this pilot RCT indicate yoga may be an effective therapeutic intervention with people in chronic pain to improve occupational performance, increase engagement in activities, and decrease depression. Occupational therapy practitioners may consider adding yoga as a treatment intervention to address the needs of people with pain.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».