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Yayın Development of externalizing behaviors in the context of family and non-family relationships(Springer New York, 2016-02-04) Akçinar Yayla, Berna; Baydar, NazlıA longitudinal model was presented, that included reciprocal associations between physically harsh parenting by the mother, child externalizing problems, and support from the father, the extended family, and the neighbors. This transactional process was estimated for the years preceding school entry. The data were from a 4-years longitudinal and nationally representative study of 1009 children and their mothers in Turkey. The results indicated that concurrently, physically harsh parenting and child externalizing problems were strongly associated. Controlling for their within domain stability and cross-domain concurrent correlation, changes in harsh parenting and changes in child externalizing behaviors had significant reciprocal effects in early childhood, although these effects were small. These reciprocal effects were smaller for observer reported harsh parenting than maternal reports. There was a role of the mesosystem in this developmental process. Increases in the support from the father, and the extended family and the neighbors predicted declines in the child externalizing behaviors subsequently. Reciprocally, high child externalizing and maternal physically harsh parenting predicted subsequent declines in the support from these sources. These results were consistent with the hypotheses that negative mother–child relationships could spill over to the other relationships of the mothers, and that positive and supportive relationships of the mother could constitute positive role models for the child.Yayın Treatment of preschool children with obsessive compulsive disorder(SAGE Publications Ltd, 2023-04) İnci İzmir, Sevim Berrin; Ercan, Eyüp SabriThe aim was to examine the clinical features of Obsessive-Compulsive Disorder (OCD) in preschool and the effectiveness of aripiprazole with a standardized Cognitive-Behavioral Family Therapy (CBFT) in the treatment of preschoolers with OCD. Twelve preschool children, 36–72 months of age were diagnosed with OCD according to the Diagnostic and Statistical Manual of Mental Disorders, the Fifth Edition criteria by a fellowship-trained child and adolescent psychiatrist. They were evaluated with Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children Present and Lifetime version and Childhood Yale-Brown Obsessive Compulsive Scale (CY-BOCS) at baseline, at the end of the 12th and 24th weeks of treatment. The baseline mean of total CY-BOCS score decreased from 33.67 to 13.83 at the 12th week and 5.58 at the end of the 24th week of treatment. Also, 66.7% of them had at least one psychiatric comorbidity. Overall, this study revealed the effect of aripiprazole with CBFT in preschool-aged children with OCD. Also, the presence of comorbidity that is seen frequently in preschoolers with OCD may complicate the treatment. Therefore, there is a need to increase awareness of OCD and its comorbidities in preschoolers to supply treatment at an early age.Yayın “Can we use a biomarker detection algorithm to measure the effectiveness of 14-channel neurofeedback in dyslexia?”(Routledge, 2025-10-01) Eroğlu, Günet; Harb, Raja AbouDyslexia, one of children’s most common neurological diversities, primarily manifests as a reduced reading ability. Genetic factors contribute to dyslexia, with contemporary theories attributing it to a delay in left hemispheric lateralization that reduces effective reading and writing skills. To assist dyslexic children, smartphone application, Auto Train Brain, has been developed to enhance reading comprehension and speed. Previously, the efficacy of the mobile application’s training program was assessed using psychometric tests; however, our study employed a biomarker detection software to evaluate the neurofeedback’s impact. Machine learning (ML) techniques have recently gained traction in differentiating between dyslexia and typically developing children (TDC). The dataset of this study consists of 100 sessions of 2-minute resting-state eyes-open 14-channel Quantitative Electroencephalography (QEEG) data from 100 children with dyslexia and 100 TDC. Therefore, the dyslexia biomarker detection software assessed the efficacy of the 14-channel neurofeedback administered via Auto Train Brain. Results showed significant improvement in electrophysiological normalization, increasing from 30% in the first 20 sessions to 61% by the end of the training. A two-proportion Z-test confirmed this improvement was statistically significant (Z = −3.96, p = 0.00007), particularly between the 1–20 and 1–60 session intervals (Z = −2.66, p = 0.0079).Yayın Theta and Beta1 frequency band values predict dyslexia classification(John Wiley and Sons Ltd, 2025-12-29) Eroğlu, Günet; Harb, Mhd Raja AbouDyslexia, impacting children's reading skills, prompts families to seek cost-effective neurofeedback therapy solutions. Utilising machine learning, we identified predictive factors for dyslexia classification. Employing advanced techniques, we gathered 14-channel Quantitative Electroencephalography (QEEG) data from 200 participants, achieving 99.6% dyslexic classification accuracy through cross-validation. During validation, 48% of dyslexic children's sessions were consistently classified as normal, with a 95% confidence interval of 47.31 to 48.68. Focusing on individuals consistently diagnosed with dyslexia during therapy, we found that dyslexic individuals exhibited higher theta values and lower beta1 values compared to typically developing children. This study pioneers machine learning in predicting dyslexia classification factors, offering valuable insights for families considering neurofeedback therapy investment.Yayın Child domestic labour and mothers' employment in Turkey(Taylor and Francis, 2016-01-01) Susanlı, Zehra Bilgen; İnanç Tunçer, Özlem; Koloğlugil, Serhat; Koloğlugil, SerhatThis paper takes an initial step in studying the determinants of child domestic labour and its relationship with mothers' employment in Turkey. We focus on children that are responsible for performing the domestic chores in their households. Using household level data from Demographic and Health Survey (2003), we find that the probability of child domestic labour is greater if the oldest child in the household is female; and this is stronger in rural areas. We also find that the likelihood of child domestic labour decreases with parental education. Our findings also suggest that the unobservable factors that increase the probability that a mother works increases the probability of child domestic labour in urban areas, but the opposite is true for rural areas.
