Browsing by Author "Knezevic, Tatjana"

: Dysfunctional voiding (DV) presents relatively frequent problem in pediatric urologist practice. The necessity for implementation of DV evaluation in the pediatric population is of particular importance, since there is no clear consensus on the clinical assessment of such condition. The aims of our study were to evaluate the test/retest reliability and reproducibility of dysfunctional voiding and incontinence scoring system: Serbian version (DVISS) in patients with voiding and incontinence dysfunctions without structural deformities, and to estimate cut-off value for DVISS. The cross-sectional study included 57 children with voiding and incontinence dysfunctions and 30 healthy pediatric controls. For the evaluation of voiding and incontinence dysfunction we used DVISS. The forward-backward method was applied for translation of the DVISS questionnaire from English into Serbian language. Reproducibility was analyzed by Interclass Correlation Coefficient (ICC). Sensitivity and specificity of DVISS scores was done by receiver operating curve (ROC) curve. There was a significant difference in DVISS score between patients and controls ( < 0.001). For reliability and reproducibility of the questionnaire, there was no significant difference between repeated measurements ( = 0.141), and strong reliability (ICC = 0.957; < 0.001). We have demonstrated successful translation and validation of the DVISS score. Moreover, a reliable scoring system of children with voiding dysfunctions should include evaluations of symptom scoring systems at the multicentric level.

Nowadays, children are able to enrich their reality via the Internet. Unfortunately, this may increase their risk of becoming victims of cyberbullying. We analyzed the health characteristics and risk behavior of two cohorts of children in Serbia; those who reported being exposed to cyberbullying and those who did not. The statistical differences and logistic regression models were applied to the data on 3267 students collected from 64 schools participating in the 2017 Serbian Study on health behavior in school-age children (HBSC). Children exposed to cyberbullying reported having the following health problems on a daily basis: headache (18.5%), back pain (19.5%), depression (21.6%), irritability or bad mood (17.7%), nervousness (16.0%), sleep problems (16.1%), and dizziness (21.2%). As for the different types of risk behavior, cigarette smoking ranging from six to nine days ever was the most prevalent (26.9%). It was followed closely by getting drunk more than 10 times ever (24.1%). Compared to non-victims, victims were found to be at a higher risk of perceived back pain (OR = 2.27), depression (OR = 1.43), irritability or bad mood (OR = 2.07), nervousness (OR = 2.23), and dizziness (OR = 2.43) as well as being injured once or twice (OR = 1.98) or three or more times (OR = 4.09). Victims were associated with further risk factors: having smoked more than five cigarettes ever in life (OR = 1.73) and having gotten drunk two to three times (OR = 1.71) or four or more times (OR = 1.65). As the number of school-age children using social media continues to rise, we must prioritize educating them about self-help and community resources for addressing related health issues with greater speed and intensity. The findings from Serbia suggest that while children may be aware of their health issues, they may be unaware of their link to cyberbullying, which could hinder their ability to address these issues promptly. The respondents' attention to the health implications of cyberbullying could be increased by reformulating the survey questions used in the HBSC study.

The aims of our study were to translate the dysfunctional voiding symptom score (DVSS) from English to Serbian; culturally adopt the items; assess the internal consistency and the test⁻retest reliability of DVSS in patients with dysfunctional voiding (DV); evaluate and test the construct and divergent validity of DVSS against demographic parameters (gender and education); and examine the level of explained variability for each item of DVSS against demographic parameters (gender and education).