Attitudes, Subjective Norm, Perceived Behavioral Control, and Intentions Related to Adult Smoking Cessation After Coronary Artery Bypass Graft Surgery
Bibliographic record
Abstract
The purpose of this study was to examine the relationships between intention, attitudes, subjective norm, and perceived behavioral control related to smoking cessation in adults after initial coronary artery bypass graft surgery (CABG). The theoretical framework for the study was derived from Ajzen's Theory of Planned Behavior. Intention, the global and belief-based measures of attitude, subjective norm, and perceived behavioral control were measured with the Determinants of Adult Smoking Cessation (DOASC) Questionnaire developed by the investigator. Thirty-two adult smokers completed the questionnaire 2 to 3 weeks following hospital discharge. Four weeks after the questionnaire completion, a follow-up telephone call was used to determine the participants' current smoking status. The study results indicated that there was a statistically significant relationship between the intention to quit smoking after CABG and the global measure of attitude, and perceived behavioral control. This study highlights some of the beliefs about the outcomes of quitting smoking permanently after CABG which may underlie attitudes, subjective norm, and perceived behavioral control in this population. Implications for theory, practice, and research are discussed.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".