Stimulant Treatment in Children with Attention-Deficit/Hyperactivity Disorder Moderates Adolescent Academic Outcome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Treatment with psychostimulant medication has been shown to improve scholastic functioning in children with attention-deficit/hyperactivity disorder (ADHD). However, the extent to which long-term academic gains are apparent in those having received such treatment remains elusive. This study examined prospectively the relationship of childhood stimulant treatment to academic functioning during adolescence. Children (n = 169) were initially recruited and diagnosed with ADHD when they were 7-11 years old. A subsample of those with childhood ADHD (n = 90) was reevaluated on average 9.13 (SD = 1.5) years later. Probands who did and did not receive treatment with stimulant medication were compared to each other and to a never-ADHD comparison group (n = 80) on three subtests from the Wechsler Individual Achievement Test-II (WIAT-II), as well as high school grade point average (GPA) and number of retentions in school as derived from school records. Analyses of covariance controlling for severity of childhood ADHD symptoms indicated that probands treated with psychostimulant medication achieved better academic outcomes, as measured by WIAT-II subtests and high school GPA, than those not treated with psychostimulants (p < .05). However, treated probands did not fare as well as the never-ADHD comparison group. Psychostimulant treatment for children with ADHD may benefit long-term adolescent academic performance, although the extent of improvement is likely to vary as a function of multiple factors.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it