28 research outputs found
The Use of Art Therapy in Alleviating Mental Health Symptoms in Refugees: A Literature Review
There are over thirty million refugees globally with severe experiences of trauma. Art therapy intervention allows for nonverbal expression and could alleviate mental health symptomatology among refugees. The present review’s aim was to integrate and summarize the previous research which examined the effects of visual arts on alleviating psychological conditions of refugees. However, due to the paucity of studies which solely used visual arts, we included studies that used visual arts alongside other modalities as part of an expressive arts therapy intervention. The present review synthesizes studies that examined the effect of art therapy on mental health issues of refugees from January 2000 to March 2021. Seven studies (child and adolescent sample, N = 5 and adult sample, N = 2) with a total of 298 refugee participants (n = 298) met our inclusion criteria. The participants were from the Middle East and North Africa (MENA), Southeast Asia, and Europe. We found three commonly reported mental health disorders, namely Post Traumatic Stress Disorder (PTSD), anxiety, and Major Depression Disorder. The research highlights how art therapy interventions could be a great starting point to alleviate symptomatology among refu-gees. Four additional benefits of art therapy which were commonly reported across the seven studies emerged from this review: working with traumatic experience/loss, rebuilding social connection and trust, nonverbal communication and self-expression of loss and trauma, and retelling stories. Art therapy interventions could be used as a starting point in the healing process of traumatized refugees to encourage verbal articulation of their feelings and reduce mental health symptoms. Despite these promising findings, due to a dearth of robust methodologies, further research is required to assess the long-term effectiveness of art therapy
An Exploratory study of Hallucination-Proneness and Own-Voice Discrimination Among Bilingual College Students
Undergraduate teaching assistantships: exploring career readiness and relationality among Emirati students
Purpose: The purpose of this study was to pilot an undergraduate teaching assistantship for Emirati students, an area of scholarship underexplored in the Middle East. The teaching assistantship was developed to better prepare students for the workforce, amidst the push for Emiratization. Design/methodology/approach: Over the course of one semester, four undergraduate teaching assistants documented their experience through reflexive journals that were analysed using a reflexive thematic analysis. Findings: Undergraduate teaching assistants characterised their experience as providing professional development and learning to connect with student learners. Findings suggest that relationality may be an important factor in student engagement and learning. Practical implications: Understanding the experience of undergraduate teaching assistants can help develop targeted opportunities to enhance career readiness. Exploring the role of relationality could be important in the training and development of the Emirati workforce and help address some of the gaps in skills. Understanding the way in which undergraduate teaching assistants perceive their teaching experience can also provide faculty with insight into their teaching practices. Originality/value: This exploratory study shows that students are able to acquire skills that may be applied in a variety of work settings (e.g. balancing multiple responsibilities). However, undergraduate teaching assistants expressed wanting to connect with student learners; this may be more culturally rooted and is less explored within the Emirati context. Given the socio-cultural context of the United Arab Emirates (UAE), female Emiratis may benefit from work-type opportunities, which to the authors’ knowledge has not been explored previously
Comorbidities Associated With Attention-Deficit/Hyperactivity Disorder in Children and Adolescents at a Tertiary Care Setting
Studies have revealed high rates of neurodevelopmental and psychiatric comorbid conditions among individuals diagnosed with attention-deficit/hyperactivity disorder (ADHD). However, research on this topic in the Arab world has been limited. This study evaluates the medical, neurodevelopmental, and psychiatric comorbidities in children and adolescents diagnosed with ADHD in Dubai, United Arab Emirates (UAE). A total of 428 pediatric patients diagnosed with ADHD were included. Children and adolescents with ADHD had high rates of comorbid disorders. Twenty comorbid conditions were identified. More than 3 quarters of the study sample had at least 1 comorbid disorder. The most common comorbidity among children was autism spectrum disorder, and among adolescents was anxiety disorders. Comprehensive assessments are highly warranted to identify and manage associated comorbid conditions. Further research is needed in exploring the biopsychosocial factors contributing to the elevated rate of comorbidity in children and adolescents with ADHD
QT interval prolongation related to psychoactive drug treatment: a comparison of monotherapy versus polytherapy
BACKGROUND: Several antipsychotic agents are known to prolong the QT interval in a dose dependent manner. Corrected QT interval (QTc) exceeding a threshold value of 450 ms may be associated with an increased risk of life threatening arrhythmias. Antipsychotic agents are often given in combination with other psychotropic drugs, such as antidepressants, that may also contribute to QT prolongation. This observational study compares the effects observed on QT interval between antipsychotic monotherapy and psychoactive polytherapy, which included an additional antidepressant or lithium treatment. METHOD: We examined two groups of hospitalized women with Schizophrenia, Bipolar Disorder and Schizoaffective Disorder in a naturalistic setting. Group 1 was composed of nineteen hospitalized women treated with antipsychotic monotherapy (either haloperidol, olanzapine, risperidone or clozapine) and Group 2 was composed of nineteen hospitalized women treated with an antipsychotic (either haloperidol, olanzapine, risperidone or quetiapine) with an additional antidepressant (citalopram, escitalopram, sertraline, paroxetine, fluvoxamine, mirtazapine, venlafaxine or clomipramine) or lithium. An Electrocardiogram (ECG) was carried out before the beginning of the treatment for both groups and at a second time after four days of therapy at full dosage, when blood was also drawn for determination of serum levels of the antipsychotic. Statistical analysis included repeated measures ANOVA, Fisher Exact Test and Indipendent T Test. RESULTS: Mean QTc intervals significantly increased in Group 2 (24 ± 21 ms) however this was not the case in Group 1 (-1 ± 30 ms) (Repeated measures ANOVA p < 0,01). Furthermore we found a significant difference in the number of patients who exceeded the threshold of borderline QTc interval value (450 ms) between the two groups, with seven patients in Group 2 (38%) compared to one patient in Group 1 (7%) (Fisher Exact Text, p < 0,05). CONCLUSIONS: No significant prolongation of the QT interval was found following monotherapy with an antipsychotic agent, while combination of these drugs with antidepressants caused a significant QT prolongation. Careful monitoring of the QT interval is suggested in patients taking a combined treatment of antipsychotic and antidepressant agents
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Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to differentiate patients with BD from healthy individuals and from individuals at familial risk for BD who either remain well or develop other psychopathology, most commonly Major Depressive Disorder (MDD). These issues are particularly pertinent to the development of translational applications of neuroimaging as they represent challenges for which clinical observation alone is insufficient. We therefore applied pattern classification to task-based functional magnetic resonance imaging (fMRI) data of the n-back working memory task, to test their predictive value in differentiating patients with BD (n=30) from healthy individuals (n=30) and from patients' relatives who were either diagnosed with MDD (n=30) or were free of any personal lifetime history of psychopathology (n=30). Diagnostic stability in these groups was confirmed with 4-year prospective follow-up. Task-based activation patterns from the fMRI data were analyzed with Gaussian Process Classifiers (GPC), a machine learning approach to detecting multivariate patterns in neuroimaging datasets. Consistent significant classification results were only obtained using data from the 3-back versus 0-back contrast. Using contrast, patients with BD were correctly classified compared to unrelated healthy individuals with an accuracy of 83.5%, sensitivity of 84.6% and specificity of 92.3%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their relatives with MDD, were respectively 73.1%, 53.9% and 94.5%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their healthy relatives were respectively 81.8%, 72.7% and 90.9%. We show that significant individual classification can be achieved using whole brain pattern analysis of task-based working memory fMRI data. The high accuracy and specificity achieved by all three classifiers suggest that multivariate pattern recognition analyses can aid clinicians in the clinical care of BD in situations of true clinical uncertainty regarding the diagnosis and prognosis
The effects of gender and COMT Val158Met polymorphism on fearful facial affect recognition:a fMRI study
The functional catechol-O-methyltransferase (COMT Val108/158Met) polymorphism has been shown to have an impact on tasks of executive function, memory and attention and recently, tasks with an affective component. As oestrogen reduces COMT activity, we focused on the interaction between gender and COMT genotype on brain activations during an affective processing task. We used functional MRI (fMRI) to record brain activations from 74 healthy subjects who engaged in a facial affect recognition task; subjects viewed and identified fearful compared to neutral faces. There was no main effect of the COMT polymorphism, gender or genotypegender interaction on task performance. We found a significant effect of gender on brain activations in the left amygdala and right temporal pole, where females demonstrated increased activations over males. Within these regions, Val/Val carriers showed greater signal magnitude compared to Met/Met carriers, particularly in females. The COMT Val108/158Met polymorphism impacts on gender-related patterns of activation in limbic and paralimbic regions but the functional significance of any oestrogen-related COMT inhibition appears modest
Psychological vulnerability as an integral component of comprehensive vulnerability assessment: informing policy and practice in disaster risk reduction
Science can be utilised to mitigate risk and vulnerability throughout the disaster management cycle. The risk of a disaster depends not only on the hazard but also on the psychological, social and environmental vulnerability of exposed communities. Through a review of existing knowledge on evidence-based methods for assessing vulnerability in communities, it was found that psychological vulnerability is seldom considered in such assessments. We argue that psychological aspects play a key role in how people and communities perceive and respond to disaster events. Building infrastructure to assess vulnerability in a comprehensive manner is essential to inform policy and practice in disaster risk reduction. Better understanding of these complex relationships and the role of psychological vulnerability in reducing risk and building the resilience of nations and communities to disasters requires interdisciplinary approaches cutting across fields such as science, psychology, health, environment, economics, engineering and technology