ABSTRACT
Objectives: Research on emotional dysregulation related to attention deficit hyperactivity disorder (ADHD) symptoms and its effects on family functioning in children is scarce. This is the first study conducted in Indonesia to examine the intricate relationships between ADHD symptoms, emotional regulation, and family functioning in children. Methods: A cross-sectional survey was conducted involving primary caregivers of children aged 9-13 years old across three elementary schools in Surabaya, using validated questionnaires comprising the Indonesian ADHD Rating Scale, Emotion Regulation Checklist, and Family APGAR scale. Results: The findings revealed a positive association between ADHD features and the emotional lability/negativity subscale (ERLN) (r=0.528; p<0.001), but not the emotion regulation subscale (EREG). Moreover, family functioning positively correlated with ERLN (r= -0.269; p=0.003) and negatively correlated with EREG (r=0.331; p<0.001). Parental education emerged as a significant demographic factor, with higher education levels linked to better emotion regulation (r=0.297; p=0.001). Conclusion: These findings underscore the importance of addressing ADHD symptoms and emotional dysregulation in children in order to enhance family functioning and overall well-being. Implications for future research and interventions targeting emotion regulation, especially in children with ADHD and their families, are also discussed.
ABSTRACT
A language disorder is a significant symptom of schizophrenia. A psychiatrist can find this disorder when interviews with a patient. Screening and diagnosis in patients with schizophrenia alone rely heavily on interviews conducted on patients and any instructions captured from patients both verbally and nonverbally. A psychiatrist can also analyze the language aspects in schizophrenia from a language level perspective ranging from phonetic to pragmatic. This analysis paves the way for the process of interference detection since the prodromal phase. Language disorder in schizophrenia is often associated with impaired thinking processes. However, with the development of science and technology today, there is an objective and quantitative method of computational analysis of language through the Natural Language Processing process with a semantic space model that allows a psychiatrist to learn aspects of the human language process, especially in semantic and pragmatic aspects. The review provides a groundbreaking proposal for biomarkers for schizophrenia that have not been available so far through the assessment of language disorders in patients with schizophrenia. Objective and accurate detection of language disorders in schizophrenia can be a modality for psychiatrists to screen, make diagnoses, determine prognosis, evaluate therapies, and monitor recurrence using existing technology media.