Cognitive behavior therapy combined with exercise for adults with chronic diseases: Systematic review and meta-analysis.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The present meta-analysis aimed to determine the overall effect of cognitive behavior therapy combined with physical exercise (CBTEx) interventions on depression, anxiety, fatigue, and pain in adults with chronic illness; to identify the potential moderators of efficacy; and to compare the efficacy of CBTEx versus each condition alone (CBT and physical exercise). METHOD: Relevant randomized clinical trials, published before July 2017, were identified through database searches in PubMed, PsycARTICLES, CINAHL, SportDiscus, and the Cochrane Central Register for Controlled Trials. RESULTS: A total of 30 studies were identified. CBTEx interventions yielded small to large effect sizes for depression (standardized mean change [SMC] = -0.34, 95% CI [-0.53, -0.14]), anxiety (SMC = -0.18, 95% CI [-0.34, -0.03]), and fatigue (SMC = -0.96, 95% CI [-1.43, -0.49]). Moderation analyses revealed that longer intervention was associated with greater effect sizes for depression and anxiety outcomes. Low methodological quality was also associated with increased CBTEx efficacy for depression. When compared directly, CBTEx interventions did not show greater efficacy than CBT alone or physical exercise alone for any of the outcomes. CONCLUSION: The current literature suggests that CBTEx interventions are effective for decreasing depression, anxiety, and fatigue symptoms but not pain. However, the findings do not support an additive effect of CBT and exercise on any of the 4 outcomes compared to each condition alone. (PsycINFO Database Record
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it