Attention-deficit Hyperactivity Disorder and Autism Spectrum Disorder: Towards Better Diagnosis and Management.

Background: Attention-deficit hyperactivity disorder (ADHA) is one of the most common comorbid disorders of autism spectrum disorder (ASD) that can accompany autism, triggered by it, or be a consequence of it. Objective: This review explored the prevalence of the comorbidity of both disorders, neurobiological background, symptoms, latest assessment methods, and therapeutic approaches. Results and Discussion: It concluded that effective assessment, diagnosis and management of ADHD in ASD children and adults is essential for this group of patients to thrive and live a good quality of life. Further research is recommended to explore the most effective intervention for such important members of our society. Conclusion: More studies are needed to understand the mechanisms underlying these comorbidities, and to prevent the misdiagnosis and mismanagement of these disorders. Also, to develop up to date personalized therapeutic plans for such children.

Factors affecting Saudi medical students' engagement during synchronous and asynchronous eLearning and their impacts on the students' academic achievement: a national survey.

BACKGROUND: Nowadays, especially after the COVID-19 pandemic, electronic learning (eLearning) has become a necessity in education. eLearning can be either synchronous, where classes are conducted in real-time, or asynchronous, where students can access the class material at any time. Student-instructor interaction has become essential to the educational process. In the literature, most studies have focused on the preferred methods of eLearning and the barriers to interaction in eLearning. Thus, this study aimed to investigate the factors that affect students' interactions during eLearning and their impacts on students' academic achievements. METHODS: A national cross-sectional study was conducted among clinical and pre-clinical medical students who were attending universities in five regions of the Kingdom of Saudi Arabia. Data were collected using a bespoke online self-administered questionnaire covering sociodemographic features, eLearning barriers, preferences, and the impact of eLearning on students' performance and understanding. RESULTS: This study involved 1371 medical students, of whom 52.37% were male and 51.13% were in their pre-clinical years of medical college. Of the participants, 59.88% (n = 821) preferred synchronous modalities of eLearning, and 33.33% (n = 457) avoided interaction during synchronous lectures. The main predictors of avoiding interaction during online lectures were being male in the clinical years of medical studies, being in a quiet atmosphere, having difficulties using the eLearning platform, having a poor internet connection, having a visual learning style, being insecure, and the presence of opposite-sex students and facilitators. In addition, 12.25% students (n = 168) reported a lower grade point average (GPA), whereas 11.96% (n = 164) reported an improved GPA after eLearning compared with in-person/onsite learning sessions. The GPA fluctuation was related to gender, personality type, learning style, interaction, and eLearning modality preference. Moreover, the students' understanding was enhanced by recorded lectures (n = 1,093, 79.72%) and supportive multimedia (n = 1,037, 75.64%), and the easy to use platform (n = 1037, 75.64%). CONCLUSION: The synchronous modality of eLearning was the preferred teaching method among the medical students. However, multiple individual, technical, and environmental factors affected their interaction, performance, and understanding during these sessions. Hence, future interventional research is recommended to overcome interaction barriers and enhance student performance and understanding of eLearning.

Assessment of anosmia/hyposmia in post-COVID-19 patients: a cross-sectional study in an eastern province of Saudi Arabia.

Background and aim It has been shown that olfactory dysfunction is one of Coronavirus disease-2019 (COVID-19)common and puzzling symptoms that may persist weeks after the infection. This study aimed for the objective assessment of persisting olfactory dysfunction in post-COVID-19 patients. It also investigated the factors associated with the development of such symptoms in the Eastern Province of Saudi Arabia. METHODS: A cross-sectional study that was conducted in the Department of Physiology, College of Medicine, Imam Abdulrahman bin Faisal University, Khobar, Saudi Arabia. One hundred and forty-seven participants were included in this study, and sixty of them agreed  to participate in the objective testing using the Connecticut Chemosensory Clinical Research Center (CCCRC) olfaction test. RESULTS: There was a significant correlation between the following factors: (1) Persistence of anosmia/hyposmia and the time of onset of anosmia/hyposmia (P=0.015). (2) Persistence of anosmia/hyposmia and the duration of anosmia/hyposmia (P=0.012). (3) Duration of anosmia/hyposmia and the duration of COVID-19 symptoms (P=0.010). Interestingly, there was a significant association between the subjective participants' claim of anosmia/hyposmia and the score of their objective assessment (P=0.026). CONCLUSION: The current study demonstrated that post-COVID-19 participants with delayed onset of anosmia/hyposmia and/or longer duration of either anosmia/hyposmia or COVID-19 symptoms were prone to have persistent olfactory dysfunction. Further studies are necessary to uncover the underlying pathophysiology and management of this olfactory dysfunction in COVID-19 patients.

Genome-wide copy number variant screening of Saudi schizophrenia patients reveals larger deletions in cases versus controls.

Introduction: Genome-wide association studies have discovered common polymorphisms in regions associated with schizophrenia. No genome-wide analyses have been performed in Saudi schizophrenia subjects. Methods: Genome-wide genotyping data from 136 Saudi schizophrenia cases and 97 Saudi controls in addition to 4,625 American were examined for copy number variants (CNVs). A hidden Markov model approach was used to call CNVs. Results: CNVs in schizophrenia cases were twice as large on average than CNVs in controls (p = 0.04). The analyses focused on extremely large >250 kilobases CNVs or homozygous deletions of any size. One extremely large deletion was noted in a single case (16.5 megabases on chromosome 10). Two cases had an 814 kb duplication of chromosome 7 spanning a cluster of genes, including circadian-related loci, and two other cases had 277 kb deletions of chromosome 9 encompassing an olfactory receptors gene family. CNVs were also seen in loci previously associated with schizophrenia, namely a 16p11 proximal duplication and two 22q11.2 deletions. Discussion: Runs of homozygosity (ROHs) were analyzed across the genome to investigate correlation with schizophrenia risk. While rates and sizes of these ROHs were similar in cases and controls, we identified 10 regions where multiple cases had ROHs and controls did not.

Stem-Cell-Based Therapy: The Celestial Weapon against Neurological Disorders.

Stem cells are a versatile source for cell therapy. Their use is particularly significant for the treatment of neurological disorders for which no definitive conventional medical treatment is available. Neurological disorders are of diverse etiology and pathogenesis. Alzheimer's disease (AD) is caused by abnormal protein deposits, leading to progressive dementia. Parkinson's disease (PD) is due to the specific degeneration of the dopaminergic neurons causing motor and sensory impairment. Huntington's disease (HD) includes a transmittable gene mutation, and any treatment should involve gene modulation of the transplanted cells. Multiple sclerosis (MS) is an autoimmune disorder affecting multiple neurons sporadically but induces progressive neuronal dysfunction. Amyotrophic lateral sclerosis (ALS) impacts upper and lower motor neurons, leading to progressive muscle degeneration. This shows the need to try to tailor different types of cells to repair the specific defect characteristic of each disease. In recent years, several types of stem cells were used in different animal models, including transgenic animals of various neurologic disorders. Based on some of the successful animal studies, some clinical trials were designed and approved. Some studies were successful, others were terminated and, still, a few are ongoing. In this manuscript, we aim to review the current information on both the experimental and clinical trials of stem cell therapy in neurological disorders of various disease mechanisms. The different types of cells used, their mode of transplantation and the molecular and physiologic effects are discussed. Recommendations for future use and hopes are highlighted.

Association Between Time Spent on Electronic Devices and Body Mass Index in Young Adults.

Objective: To evaluate the association between time spent on electronic devices (TSED) and body mass index in young adults. Methods: This cross-sectional study was conducted from June to December 2021 on 1877 students (aged 18-22 yrs) from multiple health Colleges of Imam Abdulrahman Bin Faisal University. The main tools of the study were 1) Body mass index (BMI) and an online questionnaire. The subjects were categorized into 3 main groups based on their TSED: 1) Low TSED < 2 hours/day, 2) Medium TSED= 3 to 5 hours/day, 3) Excessive TSED ≥ 6 hours /day. Based on BMI, subjects were categorized into three main groups: Normal and underweight (BMI ≤ 24.9), overweight (BMI > 25-29.9), and obese (BMI > 30). Results: Participants' average age was 20 ± 2 years. The average BMI was 23.5 k/m2. The % of students falling into the categories of normal weight, overweight, and obesity was 69.2%, 19.05%, and 11.7% respectively. The average TSED of study participants was 8.2 ± 3.45 hrs /24 hours. 71.15% of participants indicated a TSED of ≥6 hrs/24 hours and 23.71% reported a TSED of 3-5 hrs/24 hours. Only 3.15% of participants reported TSED of ≤2 hrs/24 hours. Although a rise in the mean BMI was observed with an increase in the TSED, but this difference was not statistically significant. The pairwise wise comparison also failed to demonstrate any difference in BMI between different categories of TSED. Furthermore, no significant positive correlation was found between increased BMI and excessive TSED (P = 0.37). Conclusion: A high percentage of young adults (31.2%) were overweight or obese, but excessive TSED was not significantly associated with increased BMI in this study population. Further studies are recommended to identify the effects of other factors in causing increased BMI in young adults.

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities.

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated to suffer from MS. Globally, a new case of MS is reported every five minutes. In this review, we discuss the proposed approaches to diagnosing MS using machine learning (ML) published between 2011 and 2022. Numerous models have been developed using different types of data, including magnetic resonance imaging (MRI) and clinical data. We identified the methods that achieved the best results in diagnosing MS. The most implemented approaches are SVM, RF, and CNN. Moreover, we discussed the challenges and opportunities in MS diagnosis to improve AI systems to enable researchers and practitioners to enhance their approaches and improve the automated diagnosis of MS. The challenges faced by automated MS diagnosis include difficulty distinguishing the disease from other diseases showing similar symptoms, protecting the confidentiality of the patients' data, achieving reliable ML models that are also easily understood by non-experts, and the difficulty of collecting a large reliable dataset. Moreover, we discussed several opportunities in the field such as the implementation of secure platforms, employing better AI solutions, developing better disease prognosis systems, combining more than one data type for better MS prediction and using OCT data for diagnosis, utilizing larger, multi-center datasets to improve the reliability of the developed models, and commercialization.

Factors Affecting Health Care Professionals' Adherence to COVID-19 Precautionary Measures.

Objective: COVID-19 is a public health emergency of international concern. There is still no definitive cure for this highly transmittable illness. Immunization and breaking the chain of infection is the only successful approach to mitigate its spread. Our study explored the adherence to COVID-19 preventive measures and its associating factors among Health Care Professionals (HCPs) working in Saudi Arabia. Methods: For this cross-sectional study, an online survey was conducted from December 01, 2020, to March 31, 2021, among 978 HCPs in Saudi Arabia. The self-administered questionnaire consisted of demographic information, COVID-19 preventive behaviors, knowledge, attitude, fear, and risk. Mann-Whitney U-test, Kruskal-Wallis one-way analysis, Spearman correlation, and binary logistic regression tests were used in data analysis. Results: Most of the HCPs were Saudi nationals (86.9%), females (63.1%), age group 20-29 years (42.3%), Middle Eastern ethnicity (82.5%), and working in the government sector (80.8%). A 52.2% of the participants were compliant with COVID-19 preventive behavior. The most and the least compliant preventive behaviors were "wearing masks" (88.8% compliance) and "keeping social distancing" (60.7% compliance). Preventive behavior was significantly higher in HCPs having a) more knowledge of COVID-19 (U=104849; p 0.001); b) positive attitude (U=84402; p 0.001); c) higher fear (U=103138; p less than 0.001) and d) nursing profession (p 0.01). COVID-19 knowledge (p<0.001), attitude (p<0.001), and fear (p<0.001) contributed significantly to the prediction of preventive behavior compliance. A unit increase in COVID-19 knowledge, attitude, and fear scores raised the odds of being compliant with preventive behavior by factors of 2.34, 1.87, and 1.53 respectively. Conclusion: About half of the study participants were compliant with COVID-19 preventive behavior. Preventive behavior is significantly higher among HCPs having more knowledge of COVID-19, more fear, a positive attitude, and the "nursing" profession. Having more knowledge, a positive attitude, and more fear of COVID-19 may increase the likelihood of being compliant with preventive behavior.

Epidemiology in Middle School Science Curricula: a COVID-19 Pre-post Intervention.

It is of great importance that science educators teach COVID-19 and related pandemics to boost students' scientific literacy. A mixed methods research design (pre-post test instrument [N = 86] and semi-structured interviews [N = 11]-August 2020 to June 2021) evaluated the ability of an intervention (12 h, three-session, 3-day, online workshop) to augment middle school inservice science teachers' (Eastern Saudi Arabian province) ability to teach about medical terminology and the epidemiology of diseases. Teachers' cognitive gains were measured through evaluating their knowledge, comprehension, and application of workshop content before and after the intervention. Descriptive statistics and inferential t tests revealed statistically significant cognitive differences overall (p < .01) (posttest mean = 26.26/30, SD 2.83, t value 18.51) and along knowledge (posttest mean = 5.72/7), comprehension (mean = 7.50/8), and application (mean = 13.05/15). A high effect size coefficient n2 indicated a large effect on cognitive gains. Thematic analysis about participants' subsequent efforts teaching workshop content to students revealed positive and negative experiences. The former included improved student engagement with the curriculum, community connections via project-based learning, and opportunities to teach colleagues about COVID-19. The latter concerned insufficient time, an obligation to teach the current curriculum without adding COVID-19 content, and administrative resistance. Recommendations pertain to augmenting the workshop curriculum and likeminded research initiatives.

The Psychological Impact of COVID-19 on Residents of Saudi Arabia.

Purpose: This study aimed to determine the stress levels and identify various factors responsible for causing high-stress scores during the COVID-19 pandemic in the Saudi population. Patients and Methods: This cross-sectional study was conducted at Imam Abdulrahman Bin Faisal University, Dammam, from June 2020 until December 2020 on 4052 respondents from the Eastern province of Saudi Arabia. An online survey was used to collect information about various stress factors. The psychological impact of COVID-19 was measured by using the COVID-19 impact event scale (COVID-19 IES), whereas general stress levels were assessed by K10 Kessler Psychological Distress Scale (K10). Results: The psychological impact of the COVID-19 outbreak revealed that 35.4% of participants suffered from moderate or severe psychological impact (score>33); 19.7% had a mild psychological impact (scores24-32), whereas 44.9% reported minimal psychological impact (score <23). The factors significantly associated with higher stress scores and COVID-19 IES included male gender, low monthly income, having a private business, living in apartments/residential complexes, poor general health status, visit hospital/doctor in the past three months, presence of chronic disease, direct/indirect contact with someone diagnosed with/suspected to have COVID-19, contact with surfaces/tools infected with COVID-19, getting screened or quarantined for COVID-19, follow-up of the latest news about COVID-19 and knowledge of a greater number of people infected and died with COVID-19 (p < 0.05). In contrast, being an elementary school student, having 4-10 children, observing various protective measures, and staying home for 4-12 hours were associated with lower COVID-19 IES (p < 0.05). Conclusion: During the initial six months of the COVID-19 outbreak in Saudi Arabia, 35.4% participants suffered from moderate to the severe psychological impact. This study identified various factors responsible for high COVID-19 IES and K10 stress scores. These findings can help formulate psychological interventions for improving the stress scales in vulnerable groups during the COVID-19 pandemic.

Nightmares' Pattern and Predictors among a Saudi University Students during COVID-19 Pandemic.

PURPOSE: During the coronavirus disease 2019 (COVID-19) pandemic quarantine, university students were under various types of stressors, including the exams period, which might have affected their quality and quantity of sleep, and consequently, their quality of life. This study aimed to investigate the pattern and predictors of nightmares among university students and coinvestigate the presence of other types of sleep disturbances, mental disorders, and quarantine-related stressors. METHODS: This cross-sectional study included 368 university students who answered a self-completed questionnaire covering their sociodemographic features, nightmare indicators, and associated quarantine stressors. Additionally, sleep disturbances were measured using the Generalized Sleep Disturbance Scale (GSDS), anxiety using the Generalized Anxiety Disorder 2 scale, and depression using the Patient Health Questionnaire-2. RESULTS: The participants' mean age was 20.4 ± 1.6 years, and male participants represented 35.9% of the sample. Nightmares were experienced by 117 (31.8%) of the participants, of whom 44.4% had new-onset nightmares. The mean GSDS was 45.0 ± 14.9 (min. = 12, max. = 130). This value is associated with elevated odds of the following outcomes: the presence of nightmares (odds ratio [OR] = 1.8; confidence interval [CI] 95% = 1.1-3.0); new-onset nightmares at the time of pandemic (OR = 2.6; CI 95% = 1.3-5.5); and anxiety (OR = 1.74; CI 95% = 1.0-2.9). The presence of nightmares elevated the score of GSDS by 11.3 points (S.E. = 1.6, p < 0.001), elevated the odds of anxiety by 4.1 (CI 95% = 2.5-6.8), and depression by 2.1 (CI 95% = 1.3-3.4). CONCLUSIONS: Stressors resulting from both the exams period and the fact that it was conducted during COVID-19 quarantine increased the rate and affected the pattern of nightmares. These stressors also led to other sleep disturbances and mental disorders that were significantly more prevalent among females.

Impact of Action Video Gaming Behavior on Attention, Anxiety, and Sleep Among University Students.

BACKGROUND: Recently, there has been an increase in the prevalence of action video gaming among adolescents and young adults. This has made video gaming a topic of interest for behavioral and higher brain cognitive function researchers. The present study investigated the impact and consequences of action video gaming on human behavior-specifically, attention, anxiety levels, and sleep patterns. OBJECTIVE: The study aimed to investigate the potential associations between action video gaming and attention, anxiety, and sleep. METHODS: Recruited participants (N = 97) were asked to independently complete an online questionnaire consisting of 4 sections: demographic data, gaming behavior, 8-item Epworth Sleepiness Scale, and 7-item Generalized Anxiety Disorders Scale. Participants were further divided into 2 groups (expert and non-expert video gamers) based on the number of hours they spent on action video games. After completing the questionnaires, the patients attended an on-site session, where they completed a validated psychological online battery test that assessed their sustained attention. RESULTS: The mean age of the participants was 21 years. There was a significant difference in attention between expert and non-expert video gamers; when exposed to stimuli, expert gamers displayed significantly shorter reaction times than the non-expert gamers (p < 0.05). Both groups showed a non-significant decrease in attention span throughout time. The data demonstrated no statistically significant difference in anxiety levels or daytime sleepiness between expert and non-expert video gamers, and minimal to mild anxiety levels were reported in most expert and non-expert gamers. CONCLUSION: Expert video gamers were significantly more attentive compared to non-expert gamers, and most participants showed low levels of generalized anxiety. Accordingly, expanding our knowledge on the effects of action video games on attention span is important for creatively using games in the field of education, especially for those who suffer from attention deficit hyperactivity disorders.

Caffeic Acid Phenethyl Ester reduces Pro Inflammatory Cytokines in Moderate Swimming Test in Growing Rats Model.

BACKGROUND: Caffeic acid phenethyl ester (CAPE) is a naturally occurring polyphenolic concentrated in propolis of honeybee hives. CAPE has been shown various physiological and pharmacologic properties. The aim of the present study was to investigate the effects of CAPE on proinflammatory markers in growing rats by performing the moderate swimming test. METHODS: A total number of 21 male Wistar albino rats were separated into three groups (n = 7): sedentary: negative control group; exercise: positive control group received vehicle orally and exercise + CAPE: CAPE treated group: treated with CAPE (20 mg/kg) orally 30 min before exercise, for 5 days. The animals were left free to swim in the tank, 20 minutes/day for 5 days. At 24 hours after finishing the experiment, rats were euthanised and blood was collected to analyze the level of serum interleukin IL-6 and tumor necrosis factor-α (TNF-α). RESULTS: Growing rats subjected to the moderate swimming test and in those treated with CAPE showed a lower level of TNF-α compared to the negative control. More interestingly, the one-way ANOVA data demonstrated a decreased level of proinflammatory IL-6 in the CAPE-treated group compared to the negative control. CONCLUSION: Results of this study indicate that short-term administration of CAPE may modulate proinflammatory cytokine profiles during moderate exercise and may serve to boost the anti-inflammatory effects of exercise. Further studies are needed to evaluate the efficacy and safety of long-term administration of CAPE as an adjective anti-inflammatory agent.