OA12.04. The role of mind-body awareness in complementary and alternative medicine (CAM) outcomes
Bibliographic record
Abstract
A sample of 243 undergraduate students (mean age = 23.5, 84% female) screened for current use of CAM completed a survey including questions about their CAM use, perceived health-related outcomes from their use of CAM, a measure of CAM provider autonomy support, and a new 8-item measure of Mind-body Awareness (MBA). Bivariate analyses confirmed the associations among MBA, autonomy support, CAM use and positive CAM-related health behavior (diet, weight loss, exercise) and symptom (sleep quality, mood, energy levels, concentration) changes. Path analysis controlling for demographics tested the proposed model of CAM use predicting provider autonomy support, which in turn predicts MBA and the two CAM-related outcomes. The model fit well to the data, CFI = 0.96, TLI = 0.93, RMSEA = .03, supporting the hypotheses that CAM use enhances MBA via increased autonomy support, and MBA contributes to positive symptom and health behavior changes from CAM use. Our findings extend previous research on body awareness by linking it to CAM-related symptom and behavioral outcomes in a sample of young adult CAM consumers, and further suggest a route through which provider support may enhance CAM outcomes.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.005 |
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".