Publications by authors named "Yasser Ad-Dab'bagh"

There is an increasing number of studies in the literature on the prevalence of attention-deficit/hyperactivity disorder (ADHD), indicating its high prevalence. This study sought to investigate the reliability of the ADHD Rating Scale-5 (ADHD-RS-5) for adolescents in Saudi Arabia as a valid screening tool for this age group. Furthermore, it aimed to calculate the cutoff score for screening for ADHD in the Saudi environment to provide a reliable tool that helps specialists assessing for ADHD among adolescents.

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Objective: This study investigated the psychometric properties of the Arabic version of the Adult Self-Report Scale-5 (the ASRS-5-AR) within a large sample of adults residing in Saudi Arabia.

Methods: This cross-sectional study applied the ASRS-5-AR to a random sample of 4,299 Saudi and non-Saudi adults, aged 19 to 66 years (31.16 ± 9.

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Article Synopsis
  • The study aimed to evaluate the validity of the Arabic translations of the Vanderbilt ADHD Diagnostic Scale (VADRS-A) through analyses involving parents and teachers in Saudi Arabia.
  • It included a sample of 1,812 participants, assessing children aged 5 to 12, with parents rating the Arabic Vanderbilt ADHD Diagnostic Parent Rating Scale (VADPRS-A) and teachers using the Arabic Vanderbilt ADHD Diagnostic Teacher Rating Scale (VADTRS-A).
  • Results showed a strong consistency and correlation among the factors of both scales, with high percentages of variance explained (59% for VADPRS-A and 69.20% for VADTRS-A), indicating their effectiveness in diagnosing ADHD.
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Managing epilepsy in the context of intellectual disability can be complicated as this population is known to have higher rates of drug resistance and sensitivity to side effects of antiseizure medications (ASMs). Perampanel is a novel ASM recently approved as an adjunctive treatment for drug resistant focal seizures. It carries a black-box warning for serious psychiatric and behavioral adverse reactions of aggression, irritability, et cetera.

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Objective: The aim of this study is to examine, for the first time, the mental health literacy of the Saudi general population. Additionally, we aim to identify demographic factors associated with elevated mental health literacy scores.

Methods: A cross-sectional study using a phone interview survey with quota sampling was conducted for equal distribution of sexes, age and administrative regions.

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Objective: This study aimed to validate the Arabic Version of the Mental Health Literacy Scale (Arabic-MHLS) among the Saudi Arabian general population, assessing its internal consistency, test-retest reliability, and structural validity.

Methods: A total of 700 Arabic-speaking Saudi adults were randomly selected to complete the electronic questionnaire in May 2023, which generated 544 participants. Data were coded and stored in the ZdataCloud research data collection system database.

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Background: There is a large gap between the needs of individuals diagnosed with autism spectrum disorder (ASD) and the currently available services in Saudi Arabia. Services are often difficult to access, inconsistent in quality, incomplete, unsatisfactory, and costly. As such, there is a national need for expert consensus on the appropriate standards for the assessment and management of children on the autism spectrum.

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Background: A major component of illness burden is role impairment. As part of the recently-completed Saudi National Mental Health Survey (SNMHS), we compare the number of days out of role in the Saudi population associated with ten core mental disorders assessed in the survey to those associated with ten commonly occurring chronic physical disorders.

Methods: The SNMHS was a household survey that assessed prevalence of ten common anxiety, mood, disruptive behavior, and eating disorders in a nationally representative sample of n = 1981 citizens of the Kingdom of Saudi Arabia (KSA) ages 15-65.

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: The impact of the COVID-19 pandemic on populations' mental health has started to emerge. : To describe the mental health trends of the risk of major depressive disorder (MDD) and generalized anxiety disorder (GAD) between May and August 2020. It also compares the results with pre-COVID-19 results and identifies risk factors associated with increased likelihood of being at risk of MDD and GAD.

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Background: We recently adapted the published National Institute for Health and Care Excellence (NICE) Attention deficit hyperactivity disorder (ADHD) diagnosis and management guideline to the Saudi Arabian context. It has been postulated that adaptation of evidence-based clinical practice guidelines to the local healthcare context rather than de-novo development will improve their adoption and implementation without imposing a significant burden on resources. The objective of this paper is to describe the adaptation process methodology utilized for the generation of the first national guideline for management of people with ADHD in Saudi Arabia.

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Background: The COVID-19 outbreak can potentially be categorized as a traumatic event. Public health surveillance is one of the cornerstones of public health practice, and it empowers decision makers to lead and manage public health crises and programs more effectively by providing timely and useful evidence.

Objective: This paper presents the protocol for a study that aims to identify, track, and monitor trends in the population in Saudi Arabia at risk of major depressive disorders and anxiety during the COVID-19 pandemic.

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Depression is one of the most prevalent mental illnesses and is often associated with various other medical disorders. Since the 1980s, the primary pharmacological treatment has been antidepressants, but due to the recent discovery of the association between the gut microbiome and mental health, probiotics have been proposed as an adjunctive or alternate treatment. In this narrative review, we aim to provide a holistic perspective by synthesizing and evaluating existing evidence, discussing key biological mechanisms, exploring the history of probiotic use, and appreciating the influence of modern diet on mental health.

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One dimension of insight in psychosis is the ability to attribute correctly one's symptoms to a mental disorder. Recent work suggests that gray matter volumes of the orbitofrontal cortex (OFC) are correlated with aggregate symptom attribution scores in first-episode schizophrenia. Whether regions beyond the OFC are important for symptom attribution remains to be established.

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This article will review the case of a young patient with mental retardation, autistic disorder, and Tourette Syndrome who exhibited a favourable treatment response preferentially to risperidone. His presentation, however, was complicated by an exquisite sensitivity to risperidone displayed in the form of recurrent oculogyric crises. In this article, we will outline a review of the case, a survey of the incidence and risk factors of oculogyric crises, as well as a review of the literature on risperidone sensitivity, followed by a review of alternate options for the prevention of oculogyric crises.

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Through conceptualizing poor insight in psychotic disorders as a form of anosognosia (neurological deficit), frontal lobe dysfunction is often ascribed a vital role in its pathogenesis. Whether non-frontal brain regions are important for insight remains to be investigated. We used a multi-method approach to examine the neural morphometry of all cortical regions for insight in first-episode psychosis.

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Previous studies of cortical asymmetry have relied mainly on voxel-based morphometry (VBM), or manual segmentation of regions of interest. This study uses fully automated, surface-based techniques to analyse position and surface area asymmetry for the mid-surfaces of 112 right-handed subjects' cortical hemispheres from a cohort of young adults. Native space measurements of local surface area asymmetry and vertex position asymmetry were calculated from surfaces registered to a previously validated hemisphere-unbiased surface-based template.

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Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical objective for a wide variety of neuroimaging analysis purposes, including visualization, morphometry, and brain mapping. The Anatomic Segmentation using Proximity (ASP) algorithm, previously developed by our group, provides a topology-preserving cortical surface deformation method that has been extensively used for the aforementioned purposes. However, constraints in the algorithm to ensure topology preservation occasionally produce incorrect thickness measurements due to a restriction in the range of allowable distances between the gray and white matter surfaces.

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