The acute effects of exercise on cigarette cravings, withdrawal symptoms, affect and smoking behaviour: a systematic review
Bibliographic record
Abstract
AIM: To review the effects of a single session of exercise on cigarette cravings, withdrawal symptoms and smoking behaviour. METHODS: A systematic search and critical appraisal of all 14 relevant studies. RESULTS: All 12 studies that compared a bout of exercise with a passive condition reported a positive effect on cigarette cravings, withdrawal symptoms and smoking behaviour. Two other studies that compared two intensities of exercise revealed no differences in outcomes. Single and multi-item measures of cigarette cravings, withdrawal symptoms and negative affect decreased rapidly during exercise and remained reduced for up to 50 minutes after exercise. Effect sizes for seven studies that assessed "strength of desire to smoke" showed a mean reduction, 10 minutes after exercise, of 1.1 (SD 0.9). Four studies reported a two- to threefold longer time to the next cigarette following exercise. Cravings and withdrawal symptoms were reduced with an exercise intensity from as high as 60-85% heart rate reserve (HRR) (lasting 30-40 minutes) to as low as 24% HRR (lasting 15 minutes), and also with isometric exercise (for 5 minutes). All but one study involved participants temporarily abstaining for the purposes of the experiment. Distraction was probably not the primary reason for the effects. CONCLUSIONS: Relatively small doses of exercise should be recommended as an aid to managing cigarette cravings and withdrawal symptoms. Further research to understand the mechanisms involved, such as stress reduction or neurobiological mechanisms, could lead to development of more effective and practical methods to reduce withdrawal phenomena.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".