Elimination Disorders and Associated Factors among Children and Adolescents Age 5–14 Year-old attending Pediatric Outpatient Clinic at Wolaita Sodo University Comprehensive Specialized hospital, South Ethiopia
Bibliographic record
Abstract
Abstract Background: Elimination disorder occurs when a child aged five and above passes urine or, aged four and above, defecates feces in inappropriate locations, whether voluntary or involuntary. Pediatric elimination disorders are not well understood by parents, teachers, medical professionals, mental health practitioners, and researchers. Hence, this study aimed to assess the magnitude of elimination disorder and associated factors among children and Adolescents aged 5–14 years old at Wolaita Sodo University Comprehensive Specialized Hospital, South Ethiopia, in 2022. Method: A hospital-based cross-sectional study was conducted from September 22 to November 22, 2022, at Wolaita Sodo University Comprehensive Specialized Hospital. A systematic random sampling technique was employed to select 423 study subjects. The data were gathered using a structured, face-to-face interviewer-administered questionnaire. The development of the symptom score for dysfunctional elimination syndrome of Vancouver questionnaires was used to screen for elimination disorders. Logistic regression model was used to determine the association between the outcome and independent variables. A 95% CI and Odds ratio with corresponding p-value < 0.05 were used to determine the strength of association. Result: The overall magnitude of elimination disorder among children and Adolescents age 5–14 in this study was (n 70, 16.8%); in boys (n 47, 17.3%) and girls (n 23, 15.75%). The prevalence of enuresis was (n 64, 15.3%), encopresis (n 15, 3.6%), both enuresis and encopresis, or combined elimination disorder (n 9, 2.2%). Age 9–11 years (AOR=3.2, 95%CI:1.09, 9.43), family size (AOR=3.4, 95%CI:1.78, 6.56), family history of elimination disorder (AOR=3.9, 95%CI:2.12, 7.45), emotional problem (AOR=2.2, 95%CI:1.18, 4.05), hyperactive problem (AOR=3.8, 95%CI:1.83, 7.83), low toilet training skills (AOR=5.9, 95%CI:2.61, 13.33), bad parenting practices, were poor supervision (AOR=4.4, 95%CI:1.29, 14.69) were significantly associated with elimination disorder. Conclusion and Recommendation: In this study, approximately one in five children and adolescents had an elimination disorder. Younger age, large family size, positive family history of elimination disorder, presence of emotional and hyperactive problems, bad parenting practices, and low toilet training skills were factors associated with elimination disorders. Therefore, a holistic approach to early detection and management is important to reverse the impact of the problem.
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 | 0.000 | 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".