Delayed Sleep Phase Disorder in Children With Non-Monosymptomatic Primary Nocturnal Enuresis
Bibliographic record
Abstract
Background: Delayed sleep phase disorder (DSPD), a circadian rhythm disorder, involves a significant, persistent, and intractable phase shift in sleep-wake schedule (later sleep onset and wake time) that conflicts with the individua l’s normal school, work, and/or lifestyle demands. Nocturnal enuresis (NE) is one of the most frequent pediatric pathologies. The prevalence of primary nocturnal enuresis (PNE) is around 9% in children aged 5 - 10 years and about 40% of them have one or more episodes per week. Methods: In this study, we recruited 160 children with monosymptomatic primary nocturnal enuresis (MPNE) and 160 healthy children without MPNE aged 6 - 18 years old. The children sleep pattern was completed by the parents. Data were analyzed using t -test and Chi-square tests. Results: Among 320 children in both groups, DSPD was significantly different between cases and controls. Conclusions: Considering the results of this study, the higher prevalence of DSPD in children with non-monosymptomatic primary nocturnal enuresis (NMPNE) highlights the importance of early intervention for better treatment and prevention of DSPD in children. Int J Clin Pediatr. 2015;4(4):178-180 doi: http://dx.doi.org/10.14740/ijcp210w
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".