Mental Health in Emerging Adults With ADHD and/or Specific Learning Disabilities: A Scoping Review
Bibliographic record
Abstract
The transition to adulthood, including mental health, has been a focus of research; however, little is known about the mental health outcomes of emerging adults with high incidence diagnoses including ADHD and specific learning disabilities (SLD). This scoping review describes the current state of the research on our understanding of both positive and negative mental health outcomes in these populations. Results of this scoping found an emphasis on emerging adults with ADHD (78%) over those with SLD (12%) or with ADHD and SLD (10%), and over half focused on those who attended postsecondary institutions despite low percentages of these populations going on to postsecondary education. Studies included frequently provided limited information on race or ethnicity, sex or gender, or ADHD or SLD subtypes. Additionally, there was greater focus on negative mental health outcomes (e.g., anxiety, depression) than positive mental health outcomes (e.g., wellbeing, flourishing). We end by discussing implications for future research.0020.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".