Physical activity in the management of serious mental illness: An overlooked resilience factor among transition-age youth
Bibliographic record
Abstract
The experience of serious mental illness (SMI) is unique for transition-age youth (16-29 years old), as this marks a critical life stage characterized by contemporaneous transitions in one’s psychosocial, physical, and occupational development. New research agendas centred on youth resilience (e.g., processes of positive adaptation in response to adversity) have emerged to manage SMI, yet not systematically synthesized. The present scoping review aimed to map how resilience has been conceptualized among transition-age youth diagnosed with SMI, explore resilience factors and outcomes, and identify current knowledge gaps. Consultations were conducted during the review process to incorporate feedback from transition-age youth with SMI, mental health clinicians, and researchers (N = 20). Data were analyzed using meta-narrative review and content analyses. Twenty-four eligible articles were organized into four research traditions: Stress Adaptation, Person-Environment Interactions, Recovery-Focused, and Critical & Cultural Perspectives. A wide range of resilience factors and outcomes were synthesized into a Process Model of Resilience, extending prior frameworks by adding health service-related factors as a central component unique to this population. Specific self-regulatory strategies have been under-researched (e.g., strategies / mechanisms through which young people self-manage their mood, thoughts, behaviours), with no studies examining the role of physical activity engagement. Community advisors further emphasized a need for patient-oriented research that recognizes the connection between youth’s physical and mental health. Results highlight an opportunity within exercise psychology research to advance understandings of how lifestyle psychiatry, physical activity, and mind-body practices can positively contribute to processes of resilience among young people living 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 | 0.007 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".