Exercise Counseling to Enhance Smoking Cessation Outcomes: The Fit2Quit Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Regular exercise has been proposed as a potential smoking cessation aid. PURPOSE: This study aimed to determine the effects of an exercise counseling program on cigarette smoking abstinence at 24 weeks. METHODS: A parallel, two-arm, randomized controlled trial was conducted. Adult cigarette smokers (n = 906) who were insufficiently active and interested in quitting were randomized to receive the Fit2Quit intervention (10 exercise telephone counseling sessions over 6 months) plus usual care (behavioral counseling and nicotine replacement therapy) or usual care alone. RESULTS: There were no significant group differences in 7-day point-prevalence and continuous abstinence at 6 months. The more intervention calls successfully delivered, the lower the probability of smoking (OR, 0.88; 95 % CI 0.81-0.97, p = 0.01) in the intervention group. A significant difference was observed for leisure time physical activity (difference = 219.11 MET-minutes/week; 95 % CI 52.65-385.58; p = 0.01). CONCLUSIONS: Telephone-delivered exercise counseling may not be sufficient to improve smoking abstinence rates over and above existing smoking cessation services. (Australasian Clinical Trials Registry Number: ACTRN12609000637246.).
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".