Effects of acute exercise on state anxiety in breast cancer survivors.
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To examine the effects of an acute bout of exercise on state anxiety in breast cancer survivors. DESIGN: A two-group (high and low state anxiety) by two-time (pre- and postexercise) mixed factorial design. SETTING: Exercise physiology lab at the University of Alberta. SAMPLE: 34 stage I or II breast cancer survivors ranging in age from 39-65 (X = 50.50; SD = 6.62). METHODS: Participants completed the State Anxiety Inventory prior to and five minutes following an acute bout of exercise. MAIN RESEARCH VARIABLES: State anxiety. FINDINGS: A main effect resulted for group (p < 0.01) and time showing that state anxiety significantly decreased from pre- to postexercise (p < 0.03). Group by time interaction showed that state anxiety for the low state anxiety group did not change from pre- to postexercise (p > 0.05); however, state anxiety significantly decreased in the high state anxiety group (p < 0.03). CONCLUSION: Acute exercise may be an effective intervention in reducing state anxiety in breast cancer survivors, especially those with high state anxiety. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses should be aware that in addition to other traditional anxiolytic therapies (e.g., relaxation therapy) commonly prescribed, acute exercise is an effective method for reducing state anxiety in breast cancer survivors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".