Impact of smart technology use on sleep quality in individuals with autism spectrum disorder: a mixed-methods investigation.

Background: Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD. Aim: The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD. Methods: A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers. Results: Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (ß = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity. Conclusion: The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.

Gluten-Free, Casein-Free Diet for Children with Autism Spectrum Disorder: A Case-Controlled Study.

Background and Objectives: Numerous therapeutic and dietary interventions have been examined in the last thirty years for pediatric patients diagnosed with autism spectrum disorder (ASD). Our interventional study aimed to assess the effectiveness of the gluten-free, casein-free (GFCF) diet in a cohort of Egyptian children with ASD. Materials and Methods: The present clinical trial was conducted as a prospective 12-month, open-label, case-controlled interventional study. Thirty-six ASD children who were newly diagnosed and had not taken any prior psychiatric or rehabilitation therapy were included in this study. The patients were randomly assigned into two groups: group A, which received the GFCF diet, and group B, which served as the control group and was not restricted to food containing gluten and casein for 12 months. All patients were followed up for 1 year. Results: Following the implementation of the GFCF diet in group A, significant improvements in CARS scores were observed compared to group B after 6-month and 1-year follow-up periods. Conclusions: The introduction of the GFCF diet could be helpful and promising for autistic children. Conclusive evidence regarding the effectiveness of the GFCF diet remains a subject of controversy. Nonetheless, our study contributes some evidence supporting its potential benefits for children with ASD. It is recommended that future research on the GFCF diet employ a more sophisticated research design, incorporating a consistent baseline measure that can effectively assess the therapeutic effects of these interventions for individuals with ASD.

Prevalence and Predictive Factors of Panic Disorder among Adults in Saudi Arabia: A Cross-Sectional Study.

Panic disorder (PD) is a severe anxiety disorder characterized by recurrent and unexpected panic attacks that cause intense distress. Despite the high prevalence of panic disorder and its significant impact on life, limited research has been conducted on its prevalence and their associated factors in Saudi Arabia. This study seeks to contribute to the understanding of PD among adults in Saudi Arabia by examining its prevalence and associated factors, using an online survey method. A validated questionnaire-based cross-sectional study was conducted targeting 1276 Saudi adults. Data were collected electronically via Google Forms from the eligible participants. The questionnaire comprised three sections: sociodemographic information, medical history, and a validated diagnostic tool for PD. The prevalence of PD among Saudi adults was 13.1%. Most individuals with PD experienced their first panic attack before the age of 18. Only 38.3% individuals with PD sought medical attention, and approximately one-third of those who sought help did not receive a diagnosis. Multiple logistic regression analysis revealed that significant risk factors for PD included being female; having chronic health problems, a comorbid psychiatric disorder, a high body mass index; and experiencing suicidal ideation (P < 0.05). The highest risk was associated with chronic diseases (adjusted odds ratio = 3.1, 95% confidence interval: 2.1-4.6). This study demonstrates that PD is a prevalent and debilitating mental health condition among Saudi Arabian adults. Non-mental health physicians should be aware of PD, as many cases remain undiagnosed.