Acute Exercise Effects on Craving and Withdrawal Symptoms among Women Attempting to Quit Smoking Using Nicotine Replacement Therapy
Bibliographic record
Abstract
Background: Cigarette cravings are one of the most often expressed difficulties related to quitting. The effect of acute exercise on craving and withdrawal symptoms during a pharmacological based smoking cessation intervention is unknown. Methods: Participants included female smokers (n = 178) undertaking the Getting Physical on Cigarettes trial — a 14-week exercise-aided nicotine replacement therapy (NRT, i.e. patch) cessation program. They completed the Shiffman-Jarvik scale immediately before and after the first scheduled exercise session during weeks 5, 11, and 13. The first exercise session (week 5) occurred shortly after participants quit smoking (week 4) and began their 21 mg NRT patch dose. The second and third exercise bout coincided soon after participants stepped down their NRT strength to 14 mg (week 11) and 7 mg (week 13), respectively. Results: Significant reductions in cigarette craving were demonstrated following exercise at all three time points (i.e. week 5, 11, and 13). Significant reductions in psychological and sedation withdrawal symptoms were shown at week 5 and 11, but not at week 13. Significant increases in physical symptoms were found at week 5 and 11, but not week 13. No significant change in appetite was evident at any time point. Conclusions: An acute bout of moderate intensity exercise can alleviate cravings as well as psychological and sedation withdrawal symptoms in quitters during a 14-week exercise-aided NRT smoking cessation program. Promoting exercise among women using NRT is recommended.
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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".