Factors Associated with Discontinuation of Bupropion and Counseling Among African American Light Smokers in a Randomized Clinical Trial
Bibliographic record
Abstract
BACKGROUND: African Americans are at risk of inadequate adherence to smoking cessation treatment, yet little is known about what leads to treatment discontinuation. PURPOSE: The purpose of this study was to examine the factors associated with discontinuation of treatment in African American light smokers (≤10 cigarettes per day). METHODS: Bupropion plasma levels and counseling attendance were measured among 540 African American light smokers in a placebo-controlled randomized trial of bupropion. RESULTS: By week 3, 28.0 % of subjects in the bupropion arm had discontinued bupropion, and only moderate associations were found between the plasma levels and self-reported bupropion use (r s = 0.38). By week 16, 36.9 % of all subjects had discontinued counseling. Males had greater odds of discontinuing medication (OR = 2.02, 95% CI = 1.10-3.71, p = 0.02), and older adults had lower odds of discontinuing counseling (OR = 0.96, 95% CI = 0.94-0.97, p < 0.0001). CONCLUSIONS: Bupropion and smoking cessation counseling are underutilized even when provided within the context of a randomized trial. Future research is needed to examine strategies for improving treatment utilization among African American smokers.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".