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Record W4396608604 · doi:10.1186/s13034-024-00739-7

Elimination disorders and associated factors among children and adolescents age 5–14 year-old attending paediatric outpatient clinic at Wolaita Sodo University comprehensive specialized hospital, South Ethiopia

2024· article· en· W4396608604 on OpenAlexaboutno aff
Tamene Berhanu, Mubarek Abera, Shimelis Girma, Yonas Tesfaye

Bibliographic record

VenueChild and Adolescent Psychiatry and Mental Health · 2024
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
FundersJimma University
KeywordsMedicineEncopresisEnuresisChild and adolescent psychiatryPediatricsOdds ratioLogistic regressionCross-sectional studyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Elimination disorder occurs in children over the age of normal toileting who continue to have an inability to control urination or feces, either during the day, at night, or both. Paediatric 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 predictors of the outcome variable. 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 four and above (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, family size four and above, 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, preventative, etiological, and therapeutic measure, early toilet training, supportive parenting practices, screening for children's and adolescents' behavioral problems, and elimination disorders need attention to reduce the effect 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.280
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2024
Admission routes1
Has abstractyes

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