A scoping review of resilience among transition-age youth with serious mental illness: tensions, knowledge gaps, and future directions
Bibliographic record
Abstract
Abstract Introduction The study of resilience among transition-age youth (aged 16–29 years) living with serious mental illness (SMI) has provided a promising new direction for research with the capacity to explore individuals’ strengths and resources. However, variability in how resilience is defined and measured has led to a lack of conceptual clarity. A comprehensive synthesis is needed to understand current trends and gaps in resilience research among this population. The purpose of the current study was to map how resilience has been conceptualized and operationalized among transition-age youth with SMI, explore resilience factors and outcomes that have been studied, and recommend areas for future research. Methods A six-stage scoping review methodology was used to systematically identify relevant empirical literature across multiple databases (MEDLINE, EMBASE, PsycINFO, AMED, CINAHL, Scopus), addressing transition-age youth diagnosed with SMI and resilience. Topic consultation and reaction meetings were conducted to gather feedback from transition-age youth with SMI, researchers, and clinicians during the review process to enhance the applicability of the review findings. A meta-narrative approach was used to organize included studies into research traditions (i.e., paradigms of inquiry with similar storylines, theoretical and methodological orientations). Resilience factors and outcomes, and the consultative meetings, were analyzed using content analysis. Results Twenty-four studies met inclusion criteria (14 quantitative, 9 qualitative, 1 mixed-method). Four research traditions were identified, each contributing a unique storyline which conceptualized and operationalized resilience in slightly different ways: Stress Adaptation, Person-Environment Interactions, Recovery-Focused, and Critical and Cultural Perspectives. Resilience factors and outcomes were most commonly evaluated at the individual-level or within the immediate environment (e.g., personal characteristics, social support networks). Limited research has explored the influence of macro-level systems and health inequalities on resilience processes. Results from the consultative meetings further demonstrated the importance of health services and sociocultural factors in shaping processes of resilience among youth. Conclusion The present results may be used to inform future work, as well as the development of age-appropriate, strengths-based, and resilience-oriented approaches to service delivery. Interdisciplinary and intersectional research that prioritizes community and youth engagement is needed to advance current understandings of resilience among transition-age youth with SMI.
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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 | 0.052 | 0.169 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.037 | 0.036 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".