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.

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.

Captagone & Morbid Jealousy.

This study aimed to explore the relationship between Captagon usage and the development of delusions of infidelity. The study sample; 101 male patients, was recruited from patients admitted to Eradah Complex for Mental Health and addiction, Jeddah, Saudi Arabia, with the diagnosis of amphetamine (Captagon) induced psychosis during the period from September 2021 to March 2022. All patients underwent an extensive psychiatric interview; including interview with patients' families; a demographic sheet, a drug use questionnaire, the structured clinical interview for DSM-IV (SCID 1), routine medical investigation, and urine screening for drugs. Patients' ages ranged from 19 to 46 years old with Mean ± SD 30.87 ± 6.58. 57.4 % were single, 77.2% have finished their high school, and 22.8% had no work. Captagon using age ranged from 14-40 years old, and regular daily dose ranged from 1-15 tablet, while maximum daily dose ranged from 2-25 tablets. Twenty-six patients (25.7%) of the study group have developed infidelity delusions. A higher divorce rate was present among patients who developed infidelity delusions (53.8%) in comparison to patients who developed other types of delusions (6.7%). Infidelity delusions are common among patients diagnosed with Captagon induce psychosis, and they harmfully influence their social lives.

Relation of Depression and Anxiety Disorders in Choosing Obesity Management in Obese Patients.

Background: Obesity is a chronic medical illness with a higher risk of physical and mental cascade. People who seek obesity treatment were reported to have some psychiatric disorders affecting their disease and selection of management. Aims of the Study: This study aims to estimate the prevalence of depressive and anxiety disorders in obese patients seeking obesity management and explore the relationship between common psychiatric disorders (depression and anxiety disorders) and selection of the type of obesity management (surgical or non-surgical). Methods: Patients were recruited from Alazhar Universityhospitals, Egypt, and the total number completing the study was 1115 patients. All subjects underwent psychiatric interview through Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID-5 for DSM-5) for diagnosis of psychiatric disorders and completed two questionnaires, Hamilton Rating Scale for Depression (HRSD) and Hamilton Rating Scale for Anxiety (HRSA). Results: The prevalences of depressive and anxiety disorders were 29.23% and 25.56%, respectively, in all subjects. The most prevalent diagnoses were dysthymic disorder (20.7%), general anxiety disorder (16.95%), major depressive disorder (13.04%), and social phobia (12.4%). Our sample was divided into two groups (surgical and non-surgical). Dysthymia was more common in the surgical group (21.4% versus 19.8% P = 0.560), whereas major depressive disorder was more common in the non-surgical group (7.4% versus 5.4 P = 0.593); also, the non-surgical group was more likely to have "anxiety disorders" (29.23% versus 22.4%, P = 0.840), but severity of anxiety was higher in the surgical group according to HRSA score with a highly significant difference. Conclusions: A high prevalence of depression and anxiety disorders was found among patients who sought obesity treatment. Severity of anxiety was higher in the surgical group according to HRSA score with a highly significant difference, which may affect selection of treatment, so psychiatric evaluation and management are needed before and after obesity management to improve the outcome.