Efficacy of affirmative cognitive behavioural group therapy for sexual and gender minority adolescents and young adults in community settings in Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: This study tested the efficacy of AFFIRM, a brief affirmative cognitive-behavioural group intervention tailored to reduce psychosocial distress and improve coping among sexual and gender minority adolescents and young adults (SGMY). METHOD: SGMY (n = 138; M age = 22.44) were allocated to immediate 8-week AFFIRM intervention delivered at 12 community-based organisations or an 8-week waitlisted control. At baseline, post-intervention or post-waitlist, participants completed self-reported assessments of depression, hope, coping, and stress appraisal. Implementation outcomes of feasibility and acceptability were also assessed. RESULTS: Compared to waitlist, SGMY in the intervention condition significantly reduced their depressive symptoms (b = - 5.79, p = .001) as well as increased reports of hope (agency: b = 0.84, p = .001; pathway: b = 0.79, p = .001), and coping by emotional support (b = 0.59, p < .001), instrumental support (b = 0.67, p < .001), positive framing (b = 0.59, p < .001), humour (b = 0.36, p = .014), planning (b = 0.49, p < .001) as well as reflective coping (b = 0.27, p = .009). Intervention participants were also less likely to perceive stress as a threat (b = - 0.43, p = .001), and more likely to perceive stress as challenge (b = 0.67, p < .001) and have the resources to deal with that stress (b = 0.38, p = .016) in comparison to waitlisted control participants. All outcomes had medium to large effect sizes. AFFIRM participants reported low attrition (8.5%) and high levels of engagement and acceptability (e.g. 99% agreed intervention was relevant to their lives). Over 63% of the community organizations that participated in the training hosted AFFIRM at least once during the study. CONCLUSIONS: Results demonstrate efficacy for the community-based implementation of an affirmative clinical intervention designed for SGMY to address depression and foster coping with universal and minority stressors.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".