Imagine that: Examining the Influence of Exercise Imagery on Cigarette Cravings and Withdrawal Symptoms
Bibliographic record
Abstract
Evidence highlights that an acute bout of exercise can contribute to reductions in cravings and withdrawal symptoms. However, it is unknown how low in intensity or movement one can go before these effects no longer exist. The current study examined if exercise imagery could contribute to reductions in smoking cravings and withdrawal symptoms after a short period of abstinence (CO≤6ppm). Regular smokers (N = 29) were randomized into one of three treatment groups: exercise imagery, moderate intensity exercise, or control. Each completed questionnaires including: the Strength of Desire to Smoke item (primary outcome) and the Mood and Physical Symptoms Scale (Secondary outcomes) pre- and post-treatment. A 3 (Condition) by 2 (Time) repeated measures ANOVA showed a medium non-significant interaction effect (partial η 2 = .06) favouring the exercise group for reductions in desire to smoke. A large significant interaction effect (partial η 2 = .24) was found for tension. Medium-to-large non-significant interaction effects favouring the exercise group were found for various withdrawal symptoms. These data, taken together, suggest that exercise imagery is not as powerful as moderate intensity exercise in reducing cravings and withdrawal symptoms following temporary abstinence. Implications and future directions are discussed.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".