2 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 2 / 2
Yayın Mindfulness in the relationship between perceived stress and quality of life in pediatric asthma(İstanbul Üniversitesi, 2023-03-27) Ayhan, Ayşe Sena; Aktan, Zekeriya Deniz; Ülker Tamay, ZeynepObjective: The purpose of this study is to analyze the possible mediatör effect of mindfulness in the relationship between perceived stress and quality of life in pediatric asthma. Material and Method: The sample of this study consisted of 100 asthmatic children aged between 9-12 years who applied to the outpatient clinic of Istanbul University, Istanbul Faculty of Medicine, Division of Pediatric Allergy. Sociodemographic information forms, Perceived Stress Scale in Children (8-11 years), Child and Adolescent Mindfulness Measure (CAMM), and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) were used as data collection tools. Linear hierarchical regression analysis was used during the process of analyzing data. Results: It has been identified that mindfulness has a partial mediatör effect on the relationship between perceived stress and quality of life (p = 0.000). The presence of a partial mediator effect of mindfulness has been determined in the relationship between perceived stress and symptoms which is the subscale of quality of life (p = 0.000). Finally, it has been demonstrated that mindfulness has a partial mediator effect on the relationship between perceived stress and emotional function which is another subscale of quality of life (p = 0.000). The mediating role of mindfulness in the relationship between perceived stress and activity limitations could not be analyzed due to the lack of a significant correlation between activity limitations which is the subscale of quality of life and mindfulness (p=0.178). Conclusion: It can be helpful to add psychotherapy interventions involving mindfulness practices to asthma treatment for better control of the disease in children.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).
