Aim:To investigate prevalence and patterns of psychiatric disorders in young subjects with Internet addiction (IA).Methods: Subjects were taken from a sample of patients, aged 10-18 years old, referred to Istanbul Medical Faculty, Child and Adolescent Psychiatry Department due to a variety of behavioral and emotional problems alongside problematic Internet use. Inclusion criteria included IQ Ն70 and score Ն80 on Young's Internet Addiction Scale (YIAS). Psychiatric comorbidity was assessed using the Turkish version of the Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version.Results: Subjects were 45 boys (75%) and 15 girls (25%) with an age range of 10-18 years old (mean age, 13.38 Ϯ 1.79 years). A total of 60% (n = 36) had been using Internet for Ն5 years. Mean hours/week spent on the Internet was 53.7 (range, 30-105 h) and the average YIAS score was 85. All subjects (100%) had at least one and 88.3% (n = 53) had at least two comorbid psychiatric disorders. The frequency of diagnostic groups were as follows: behavioral disorder, n = 52 (86.7%); anxiety disorder, n = 43 (71.7%); mood disorder, n = 23 (38.3%); elimination disorder, n = 16 (26.7%); tic disorder, n = 10 (16.7%); and substance use disorder, n = 4 (6.7%). The most common psychiatric disorders were attention-deficit hyperactivity disorder (n = 53; 83.3%), social phobia (n = 21; 35.0%) and major depressive disorder (n = 18; 30.0%). Conclusion:High rates of psychiatric comorbidity, particularly behavioral, anxiety and mood disorders were found in young subjects with IA. Because the presence of psychiatric disorders may affect the management /prognosis of IA, assessment should include that for other psychiatric disorders.
Aims Pandemics can cause substantial psychological distress; however, we do not know the impact of the COVID-19 related lockdown and mental health burden on the parents of school age children. We aimed to comparatively examine the COVID-19 related the stress and psychological burden of the parents with different occupational, locational, and mental health status related backgrounds. Methods A large-scale multicenter online survey was completed by the parents ( n = 3,278) of children aged 6 to 18 years, parents with different occupational (health care workers—HCW [18.2%] vs. others), geographical (İstanbul [38.2%] vs. others), and psychiatric (child with a mental disorder [37.8%]) backgrounds. Results Multivariable logistic regression analysis showed that being a HCW parent (odds ratio 1.79, p < .001), a mother (odds ratio 1.67, p < .001), and a younger parent (odds ratio 0.98, p = .012); living with an adult with a chronic physical illness (odds ratio 1.38, p < .001), having an acquaintance diagnosed with COVID-19 (odds ratio 1.22, p = .043), positive psychiatric history (odds ratio 1.29, p < .001), and living with a child with moderate or high emotional distress (odds ratio 1.29, p < .001; vs. odds ratio 2.61, p < .001) were independently associated with significant parental distress. Conclusions Parents report significant psychological distress associated with COVID-19 pandemic and further research is needed to investigate its wider impact including on the whole family unit.
Objective: To investigate the association of sluggish cognitive tempo (SCT) with autistic traits (ATs) and anxiety disorder symptoms among children with attention-deficit/hyperactivity disorder (ADHD). Methods: A total of 195 children with a DSM-5 diagnosis of ADHD were included. The Barkley Sluggish Cognitive Tempo Scale (BSCTS) was used to measure SCT symptoms. Other study measures included the Autism Spectrum Quotient (AQ), Screen for Child Anxiety and Related Disorders (SCARED), Turgay DSM-IV Disruptive Behavior Disorders Rating Scale (T-DSM-IV-S), and Conners' Teacher Rating Scale (CTRS-R). Results: The frequency of SCT was 30.3% (n=59) in the whole group. Those with SCT had higher total AQ and SCARED scores. Significant associations and correlations were also found between SCT and certain subscores of AQ and SCARED. According to the linear regression model, the total score and social skills, attention switching, and imagination scores of AQ, as well as generalized anxiety and panic/somatic scores of SCARED and the total and inattention scores of parent T-DSM-IV, were predictive of SCT total score (p o 0.05). Conclusions: SCT is associated with ATs and anxiety disorders. Children with ADHD and SCT symptoms should be screened for such conditions.
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