Prevalence of nocturnal enuresis among children and adults in Saudi Arabia: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Nocturnal enuresis (NE) is defined as any intermittent incontinence while sleeping in a child over the age of 5. This disorder can have emotional and psychological implications. Here, we performed the first meta-analysis to provide an overall assessment of the prevalence of NE and the factors associated with it in Saudi Arabia. We also examined its psychological impact and mothers' behavior in dealing with this disorder. PATIENTS AND METHODS: A thorough search was conducted on PubMed, Scopus, Cochrane, and Web of Science databases for studies assessing the prevalence of NE. Comprehensive Meta-Analysis Version 3.3 was used to conduct the analysis. We evaluated NE prevalence, NE frequencies, NE by time, social shame and embarrassment in children with NE, and mothers seeking medical advice. A meta-regression analysis was performed to determine the correlation between the frequency of NE and NE in parents, NE in siblings, gender, and age. The quality of the included studies was assessed by Newcastle Ottawa Scale. RESULTS: Sixteen cross-sectional studies, totaling 14 284 participants, were included. NE prevalence was 24.8% (95% CI: 17, 34). The prevalence of NE one to two times per week was 26.8% (95% CI: 15.1, 43.0), three to four times was 31.8% (95% CI: 18.5, 48.9), and five to seven times was 33.8% (95% CI: 18.2, 54.1). NE occurring at night was 24.4% (95% CI: 22.8, 26.2) and at day and night was 16.6% (95% CI: 15.3, 17.9). A significant difference was found between the regions of Saudi Arabia in the prevalence of NE, with the southern and eastern regions having the highest prevalence and the central region having the lowest prevalence. The overall pooled prevalence of embarrassment and social shame in children with NE was 63% (95% CI: 46, 77). The percentage of mothers seeking medical advice was 54.4% (95% CI: 39.7, 68.3). The prevalence of NE is positively correlated with the prevalence of NE in parents and siblings, but no association was found with males or age. CONCLUSION: A quarter of Saudi Arabian children suffer from NE, and it is associated with feelings of embarrassment and social shame. Half of the mothers seek medical counseling. Having parents or siblings with NE increases the likelihood of NE in the child. Future research is needed to corroborate the findings of other risk factors, such as age and gender. Future research will also be required to identify the precise causes or effects within each region that contribute to the varying prevalence of NE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".