A tornado in the family: fetal alcohol spectrum disorder and aggression during childhood and adolescence: a scoping review
Bibliographic record
Abstract
Background: Aggression exhibited by children and youth with Fetal Alcohol Spectrum Disorder (FASD) toward family members is a major cause of stress and anxiety for caregivers, but relatively little attention has been directed toward designing interventions specific to this phenomenon. In light of the serious negative impact of this issue for families, a scoping review was undertaken to summarize the evidence available on psychosocial interventions that may mitigate the frequency and severity of aggression exhibited by children and youth with FASD toward family members. Methods: This review was designed using PRISMA-SCR and JBI scoping review guidelines. Three databases were searched in August 2021: EMBASE, PsychINFO, and Medline. Results: A total of 1,061 studies were imported for screening with only five studies meeting full eligibility criteria. None of the interventions were aimed at specifically targeting aggression and instead reported on broader constructs of externalizing behaviors such as hyperactivity. The interventions were limited to school-aged children. Studies reported primarily on child outcomes while only one reported on family related outcomes. Conclusion: Following from this review of the literature, we argue that aggression is a related but separate construct from other behavioral problems most frequently targeted by parenting interventions. Given the often dire consequence of aggression displayed by children and youth with FASD and the limited number of studies, there is an urgent need for research on how to support families to manage this specific type of behavior in this population.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".