Fetal alcohol spectrum disorder (FASD): Comparing profiles of younger versus older adults
Bibliographic record
Abstract
BACKGROUND: Fetal alcohol spectrum disorder (FASD) has implications for wellbeing across the lifespan. Research regarding adult profiles is limited. METHOD: Data were drawn from the Canadian National Database for younger (18-24 years n = 223) and older (35 + years n = 185) groups, all diagnosed with FASD using Canadian guidelines. Groups were compared on: cognitive/functional abilities; physical/mental health; substance misuse; independent living; legal involvement; and recommendations post-diagnosis. Analysis included chi-square, ANOVA, and linear regression. RESULTS: The 35 + group showed lower rates of attention and executive functioning deficits, less need for supportive housing, and fewer difficulties with independent living but higher rates of memory and physical problems. Substance misuse, legal involvement, and mental health issues were high in both groups. The 35 + group attended substance misuse treatment and were referred for income supports more than the 18-24 group. CONCLUSION: Distinct profiles were observed for older versus younger adults with FASD. Interventions and supports must be adjusted to meet age-specific needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".