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Record W2142808326 · doi:10.1177/1087054706288107

Case Series: Evaluation of a Behavioral Sleep Intervention for Three Children With Attention-Deficit/Hyperactivity Disorder and Dyssomnia

2006· article· en· W2142808326 on OpenAlexaff
Jennifer C. Mullane, Penny Corkum

Bibliographic record

VenueJournal of Attention Disorders · 2006
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIntervention (counseling)Attention deficit hyperactivity disorderPsychologyMultiple baseline designSleep (system call)Physical therapyClinical psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The authors conducted a preliminary evaluation of a behavioral sleep intervention for children with attention-deficit/hyperactivity disorder (ADHD) and dyssomnia delivered via distance treatment. METHOD: Three children (1 male, 2 females; aged 6-10 years) with ADHD and dyssomnia participated in a 5-week manualized intervention. Using a non-concurrent multiple baseline design, the children were randomly assigned to a 1-, 2-, or 3-week baseline and then received the 5-week intervention. Sleep problems were assessed daily by both objective and subjective measures. Measures of problematic nighttime behaviors and daytime ADHD symptoms were also obtained weekly. RESULTS: After 5 weeks, a clinically significant decrease was found in the severity of the children's dyssomnia. No changes in ADHD symptoms were noted. Gains were generally maintained at the 3-month follow-up. Parents perceived the intervention as being "helpful" to "very helpful." CONCLUSION: Based on the initial data, this intervention shows promise as an effective and feasible treatment.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.328
Teacher spread0.299 · 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 designCase report
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

Citations48
Published2006
Admission routes1
Has abstractyes

Explore more

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