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    Determining the probability of juvenile delinquency by using support vector machines and designing a clinical decision support system
    (Churchill Livingstone, 2020) Ucuz, Ilknur; Cicek, Ayla Uzun; Ari, Ali; Ozcan, Ozlem Ozel; Sari, Seda Aybuke
    It is a known fact that individuals who engaged in delinquent behavior in childhood are more probable to carry on similar behavior in adulthood. If the factors that lead children to involve in delinquency are defined, the risk of dragging children into crime can be detected before they are involved in crime and delinquency can be prevented with appropriate preventive rehabilitation programs, in the early period. However, given that delinquent behavior occurs under the influence of multiple conditions and factors rather than a single risk factor; the need for diagnostic tools to evaluate multiple factors together is obvious. Artificial intelligence-based clinical decision support systems have already been used in the field of psychiatry as well as many other fields of medicine. In this study, we assume that thanks to artificial intelligence-based clinical decision support systems, children and adolescents at risk can be detected before the criminal behavior occurs by addressing certain factors. In this way, we anticipate that it can provide psychiatrists and other experts in the field.
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    Does Involvement in Peer Bullying Invite Self-Injury?
    (Lippincott Williams & Wilkins, 2023) Uzun Cicek, Ayla; Ucuz, Ilknur; Sari, Seda Aybuke; Comertoglu Arslan, Semiha; Dogru, Hicran
    Previous studies have linked peer bullying to nonsuicidal self-injury (NSSI). However, the evidence is largely limited to population-based groups. This study examined whether there is a relationship between NSSI and being a victim of peer bullying among adolescents in a clinical sample and how this may be influenced by types of bullying. The sample consisted of 96 outpatients with NSSI and 107 healthy adolescents. The Inventory of Statements About Self-Injury, Peer Bullying Scale, and Rosenberg Self-Esteem Scale were applied. Whereas the scores of each bullying type of adolescents with NSSI were significantly higher, their self-esteem scores were significantly lower. Each victimization score of bullying had a negative correlation with NSSI-onset age and self-esteem scores and a positive correlation with self-injury scores. This study demonstrated that being a victim of any type of bullying is strongly associated with self-injury. It would be advisable to screen adolescents with self-injury for exposure to bullying, and vice versa.
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    Does Involvement in Peer Bullying Invite Self-Injury? The Association Between Peer Bullying and Self-Injury in a Clinical Sample
    (Lippincott Williams & Wilkins, 2023) Cicek, Ayla Uzun; Ucuz, Ilknur; Sari, Seda Aybuke; Arslan, Semiha Comertoglu; Dogru, Hicran
    Previous studies have linked peer bullying to nonsuicidal self-injury (NSSI). However, the evidence is largely limited to population-based groups. This study examined whether there is a relationship between NSSI and being a victim of peer bullying among adolescents in a clinical sample and how this may be influenced by types of bullying. The sample consisted of 96 outpatients with NSSI and 107 healthy adolescents. The Inventory of Statements About Self-Injury, Peer Bullying Scale, and Rosenberg Self-Esteem Scale were applied. Whereas the scores of each bullying type of adolescents with NSSI were significantly higher, their self-esteem scores were significantly lower. Each victimization score of bullying had a negative correlation with NSSI-onset age and self-esteem scores and a positive correlation with self-injury scores. This study demonstrated that being a victim of any type of bullying is strongly associated with self-injury. It would be advisable to screen adolescents with self-injury for exposure to bullying, and vice versa.
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    Who Is Most at Risk? Exploring the Prevalence of Psychiatric Comorbidities in Children With Intellectual Disability by Age, Sex, Severity, and Socioeconomic Background
    (Wiley, 2026) Abanoz, Elif; Cicek, Ayla Uzun; Ucuz, Ilknur; Arslan, Semiha Comertoglu; Sari, Seda Aybuke; Sireli, Ozlem
    Background Data on psychiatric comorbidities in children with intellectual disability (ID) across subgroups remain limited. Thus, we aimed to investigate comorbidity prevalence by age, sex, ID severity, and socioeconomic status.Methods This multicentre, cross-sectional study included 1742 children with ID consecutively recruited from child psychiatry outpatient clinics. Participants were assessed using comprehensive psychiatric interviews, the Strengths and Difficulties Questionnaire, and Clinical Global Impression.Results Comorbid psychiatric disorders were present in 86.2% of the sample; 24.7% had one, and 61.5% had two or more. The most common diagnoses were ADHD (44.3%), anxiety disorders (40.0%), oppositional defiant disorder (36.7%), and conduct disorder (29.2%). Comorbidity rates were significantly higher in males, adolescents, those with severe ID, and those from higher-income families. Internalising disorders were more common in females; externalising disorders in males and adolescents.Conclusions Our findings suggest the integration of systematic, developmentally sensitive psychiatric screening into standard clinical care for children with ID.