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Record W2051988290 · doi:10.1089/cap.2009.0107

Childhood Stimulant Treatment and Teen Depression: Is There a Relationship?

2010· article· en· W2051988290 on OpenAlexaff
Ekaterina Staikova, David J. Marks, Carlin J. Miller, Jeffrey H. Newcorn, Jeffrey M. Halperin

Bibliographic record

VenueJournal of Child and Adolescent Psychopharmacology · 2010
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsStimulantDepression (economics)PsychologyPsychiatryClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Recent preclinical data have raised the possibility that prepubertal treatment of attention-deficit/hyperactivity disorder (ADHD) with stimulant medication might increase risk for later depression. The current longitudinal study investigated whether children with ADHD who were treated with stimulant medication displayed heightened levels of adolescent depression. Adolescents diagnosed with ADHD during childhood who had received a minimum of 1 year of treatment with stimulant medication were compared to adolescents with a childhood history of ADHD who were never treated with stimulants and a demographically matched comparison group on self-reports of depressive symptoms and diagnoses of depressive disorders. Both subgroups with childhood ADHD reported significantly higher dimensional ratings of depression and categorical rates of depressive disorders relative to the comparison group (all p<0.05), yet those who were and were not medicated did not differ from one another. Results indicate that, while childhood ADHD increases risk for adolescent depression, stimulant treatment for ADHD neither heightens nor protects against such risk.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.020
GPT teacher head0.340
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2010
Admission routes1
Has abstractyes

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Same venueJournal of Child and Adolescent PsychopharmacologySame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207