The Impact of Psychiatric Disorder Diagnosis on Motivation to Quit and Stage of Change Among Patients at a Hospital-Based Outpatient Smoking Cessation Clinic
Bibliographic record
Abstract
Objective Smoking is among the greatest international public health concerns, causing excessive levels of preventable premature death, disability, and economic costs. The prevalence of tobacco use among people with psychiatric disorders (PDs) remains persistently high relative to the general population, highlighting the need to improve smoking cessation (SC) strategies in this group. We aimed to assess the associations between having a PD and baseline motivation to quit (MtQ) smoking and Prochaska’s stage of change (SoC), two clinically important metrics linked to SC outcomes. Methods: This retrospective chart review included patients who completed a baseline visit at a hospital-based outpatient SC clinic (N = 896). Multivariate hierarchical logistic and linear regression models were developed to assess variables associated with MtQ (importance and confidence in quitting) and SoC, primarily PD category (externalizing, internalizing, externalizing/internalizing, psychotic or no PD) and secondarily, demographics, physical health history, and tobacco use/dependence metrics. Results: The variables negatively associated with MtQ were female sex (p = .011), older age (p = .038), deriving income from social assistance (p < .001), and age at smoking initiation (p = .005), whereas ≥ 1 quit attempt in the past year predicted higher MtQ (p < .0001). Being in the preparative/action SoC (versus the pre-contemplative/contemplative) was associated with income from social assistance (OR 0.39, p = .001), more daily cigarettes smoked (OR 0.98, p = .005) and ≥ 1 past-year quit attempt (OR 1.69, p = .013). Conclusions: Having a PD was not associated with either MtQ or SoC. Deriving income from social assistance predicted lower MtQ and SoC. Having made ≥ 1 quit attempt in the past year was associated with higher MtQ and SoC. Our study suggests that people with PDs are as motivated to quit smoking and ready for change as people without PDs, and smoking cessation efforts should be amplified in this group to address the disproportionately high level of tobacco use, especially because having at least one quit attempt may enhance MtQ and SoC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".