Visuomotor competencies and primary monosymptomatic nocturnal enuresis in prepubertal aged children
Bibliographic record
Abstract
BACKGROUND: Primary monosymptomatic nocturnal enuresis (PMNE) is a common problem in the developmental ages; it is the involuntary loss of urine during the night in children older than 5 years of age. Several clinical observations have suggested an association between bedwetting and developmental delays in motricity, language development, learning disability, physical growth, and skeletal maturation. The aim of the present study is to evaluate the prevalence of fine motor coordination and visuomotor integration abnormalities in prepubertal children with PMNE. METHODS: The study population included 31 children (16 males, 15 females; mean age 8.14 years ± 1.36 years), and the control group comprised 61 typical developing children (32 males, 29 females; mean age 8.03 years ± 1.44 years). The whole population underwent a clinical evaluation to assess total intelligence quotient level, visuomotor integration (VMI) skills, and motor coordination performance (using the Movement Assessment Battery for Children, or M-ABC). RESULTS: No significant differences between the two study groups were found for age (P = 0.725), gender (P = 0.886), z-body mass index (P = 0.149), or intellectual abilities (total intelligence quotient) (P = 0.163). The PMNE group showed a higher prevalence of borderline performance on M-ABC evaluation and in pathologic performance on VMI Total Task compared to controls (P < 0.001). No significant differences between the two study groups were found for pathologic performances on the M-ABC (P = 0.07), VMI Visual Task (P = 0.793), and VMI Motor Task (P = 0.213). CONCLUSION: Our findings pinpointed that PMNE should not be considered as a voiding disorder alone and, consequently, the children affected should be referred to specific rehabilitative programs that aim to improve motor coordination and visuomotor integration.
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 | 0.000 | 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) | 0.001 | 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".