Personalized chat‐based support for smoking cessation among smokers with mental health symptoms in the workplace: A randomized controlled trial
Bibliographic record
Abstract
AIMS: Smoking rates are disproportionately high among people with mental health issues. We evaluated the effectiveness of a chat-based intervention paired with psychological support for workplace smokers with mental health symptoms. DESIGN AND SETTING: A pragmatic, two-arm, randomized controlled trial in 65 companies in Hong Kong, China. PARTICIPANTS: 300 employees who smoked daily (84.3% male) with stress (Perceived Stress Scale-4 ≥ 6), anxiety (General Anxiety Disorder-2 ≥ 3) or depressive symptoms (Patient Health Questionnaire-2 ≥ 3). INTERVENTIONS: Participants were randomly allocated to either the intervention group (n = 144) or the control group (n = 156). The intervention group received 20 instant messages and chat-based support delivered by trained counselors over 3 months, using Acceptance and Commitment Therapy. The control group received 6 messages on general health. Both groups received a health talk and self-help booklet at baseline, brief phone advice at follow-ups and full-course nicotine replacement therapy for continuing smokers at 6 months. MEASUREMENTS: The primary outcome was self-reported 7-day point prevalence abstinence (PPA) at 6 months after intervention initiation. Secondary outcomes included PPA at 1, 3, 9 and 12 months, changes in mental health symptoms and intervention engagement (chatting with counsellors). FINDINGS: By intention to treat, there was no evidence of a difference in 7-day PPA between intervention and control group at 6 months [16.0% vs. 13.5%, odds ratio (OR) = 1.22, 95% confidence interval (CI) = 0.64-2.32]. At 12 months, there was weak evidence of an intervention benefit (21.5% vs. 13.5%, 1.76, 0.96-3.24), which was statistically significant after adjusting for baseline factors (adjusted OR = 2.61, 1.22-5.58, P = 0.01). A greater reduction in anxiety symptoms over a 12-month period in the intervention group was observed (adjusted b = -0.28, 95% CI = -0.56 to -0.00, P = 0.05). CONCLUSIONS: There appears to be weak evidence for a benefit of a personalised chat-based smoking cessation intervention plus psychological support on promoting smoking abstinence among workplace smokers with mental health symptoms.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".