Acceptance and Commitment Therapy Wellness Program for Latine Adults Who Smoke and Have Psychological Distress: Protocol for a Feasibility Study
Bibliographic record
Abstract
BACKGROUND: Tobacco smoking is a major independent risk factor for chronic disease, and the prevalence of smoking among people with behavioral health disorders is 2-fold in comparison with the general population. Smoking rates remain high for various subgroups within the Latine community, the largest ethnic minority group in the United States. Acceptance and commitment therapy (ACT) is a theoretically sound and clinically validated therapeutic approach for several behavioral health conditions with growing evidence of its effectiveness for smoking cessation. Unfortunately, the evidence of ACT effectiveness for smoking cessation among Latine individuals is scarce, and none of the existing studies have tested a culturally targeted intervention for this population. OBJECTIVE: This study aims to address the co-occurrence of smoking and mood-related challenges among Latine adults via the development and testing of a culturally tailored ACT-based wellness program: Project PRESENT. METHODS: This study entails 2 phases. Phase 1 consists of the intervention development. Phase 2 entails the pilot testing of the behavioral intervention along with the administration of baseline and follow-up measures to 38 participants. Primary outcomes include feasibility of recruitment and retention, and treatment acceptability. Secondary outcomes are smoking status and depression and anxiety scores at end of treatment and 1-month follow-up. RESULTS: This study received institutional review board approval. Phase 1 outputs were the health counselors' treatment manual and participant guide. Recruitment was completed in 2021. Phase 2 outcomes will be determined after project implementation and data analyses are complete, which are expected by May 2023. CONCLUSIONS: Findings from this study will determine the feasibility and acceptability of an ACT-based, culturally relevant intervention for Latine adults who smoke and have probable depression and/or anxiety. We expect feasibility of recruitment, retention and treatment acceptability, and reductions in smoking status, depression, and anxiety. If feasible and acceptable, the study will inform large-scale trials, which will ultimately contribute to narrowing the gap between research and clinical practice for the co-occurrence of smoking and psychological distress among Latine adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44146.
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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 | 0.029 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.070 | 0.012 |
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".