Tai Chi as an Alternative and Complimentary Therapy for Anxiety
Bibliographic record
Abstract
Anxiety has become a global public health problem. Tai chi offers one possible way of reducing anxiety. The purpose of this study was to examine studies from 1989 to March 2014 to assess whether tai chi can be an efficacious approach for managing anxiety. A systematic search of Medline, CINAHL, and Alt HealthWatch databases was conducted for quantitative articles involving applications of tai chi for anxiety. A total of 17 articles met the inclusion criteria. Of these, 8 were from the United States, 2 from Australia, 2 from Japan, 2 from Taiwan, and 1 each from Canada, Spain, and China. Statistically significant results of anxiety reduction were reported in 12 of the studies reviewed. Despite the limitations of not all studies using randomized controlled designs, having smaller sample sizes, having different outcomes, having nonstandardized tai chi interventions, and having varying lengths, tai chi appears to be a promising modality for anxiety management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".