Sleep Problems and Neuropsychological, Academic, and Psychosocial Functioning in School-Aged Children
Bibliographic record
Abstract
Many children and adolescents do not achieve adequate sleep. Sleep problems have a negative relation with many functional domains, including neuropsychological, academic, and psychosocial ones—domains typically evaluated in comprehensive neuropsychological assessments. Sleep problems are also associated with poorer executive processes, included among which are symptoms of inattention, hyperactivity, and impulsivity. The goals of the current study were to examine the relation between sleep problems and neuropsychological, academic, and psychosocial functioning; the relation between sleep problems and symptoms of inattention, hyperactivity, and impulsivity; the combined impact of sleep problems and symptoms of inattention, hyperactivity, and impulsivity on neuropsychological, academic, and psychosocial functioning; and, because clinicians completing assessments often do not have an efficient way to include an assessment of sleep problems, the utility of the BEARS, a brief screening measure of sleep problems. The participants were 54 school-aged Canadian children (aged 6 to 14 years) and their caregivers. The results indicated the lack of a relation between sleep problems and performance on test measures of neuropsychological and academic functioning. A relation, however, was found between sleep problems and certain psychosocial dimensions of functioning as measured by the clinical scales of the Behavior Assessment System for Children, Third Edition (BASC-3), such that sleep problems were associated with difficulties in the areas of hyperactivity, attention problems, and activities of daily living. Results also indicated a relation between sleep problems and symptoms of inattention, hyperactivity, impulsivity, and executive dysfunction. Further, the combination of sleep problems and symptoms of inattention, hyperactivity, and impulsivity was found to be associated with performance in most areas of academic and psychosocial functioning, but not neuropsychological variables. In addition, the results indicated that the BEARS as a screener of sleep problems demonstrated good diagnostic utility for accurately classifying sleep problems. Implications and limitations of the findings are discussed.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".