scholarly journals Applying Genetic and Genomic Tools to Psychiatric Disorders: A Scoping Review

HEC Forum ◽  
2021 ◽  
Author(s):  
Ana S. IItis ◽  
Akaya Lewis ◽  
Sarah Neely ◽  
Stephannie Walker Seaton ◽  
Sarah H. Jeong
Keyword(s):  
Psychiatric Disorders ◽  
Scoping Review ◽  
Genomic Tools

scholarly journals Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review (Preprint)

2018 ◽  
Author(s):  
Melvyn Zhang ◽  
Jiangbo Ying ◽  
Guo Song ◽  
Daniel S S Fung ◽  
Helen Smith
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Psychiatric Disorders ◽  
Scoping Review ◽  
Cognitive Bias ◽  
Cognitive Bias Modification ◽  
Web Based ◽  
Addictive Disorders ◽  
Compulsive Disorder ◽  
Bias Modification

BACKGROUND Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this. OBJECTIVE This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness. METHODS Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: (“attention bias” OR “cognitive bias” OR “approach bias” OR “avoidance bias” OR “interpretative bias”) AND (“Internet” OR “Web” OR “Online”). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported. RESULTS Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD. CONCLUSIONS This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions.

A Scoping Review of the Use of Cannabidiol in Psychiatric Disorders

2021 ◽  
pp. 114347
Author(s):  
Anna E. Kirkland ◽  
Matthew C. Fadus ◽  
Staci A. Gruber ◽  
Kevin M. Gray ◽  
Timothy E. Wilens ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Scoping Review

scholarly journals The epidemiology of psychiatric disorders in Africa: a scoping review

2021 ◽  
Author(s):  
M Claire Greene ◽  
Tenzin Yangchen ◽  
Thomas Lehner ◽  
Patrick F Sullivan ◽  
Carlos N Pato ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Scoping Review

scholarly journals Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review

10.2196/11841 ◽  
2019 ◽  
Vol 6 (10) ◽  
pp. e11841 ◽  
Author(s):  
Melvyn Zhang ◽  
Jiangbo Ying ◽  
Guo Song ◽  
Daniel S S Fung ◽  
Helen Smith
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Psychiatric Disorders ◽  
Scoping Review ◽  
Cognitive Bias ◽  
Cognitive Bias Modification ◽  
Web Based ◽  
Addictive Disorders ◽  
Compulsive Disorder ◽  
Bias Modification

Background Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this. Objective This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness. Methods Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: (“attention bias” OR “cognitive bias” OR “approach bias” OR “avoidance bias” OR “interpretative bias”) AND (“Internet” OR “Web” OR “Online”). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported. Results Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD. Conclusions This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions. International Registered Report Identifier (IRRID) RR1-10.2196/10427

Neuropsychological Comparison of Guilt and Grief: A Review of Guilt Aspects in Prolonged Grief Disorder

2021 ◽  
pp. 003022282110241
Author(s):  
Brandon Joa ◽  
Andrew B. Newberg
Keyword(s):  
Psychiatric Disorders ◽  
Scoping Review ◽  
Developmental Psychology ◽  
Medical Literature ◽  
Complicated Grief ◽  
Integrative Approach ◽  
Prolonged Grief Disorder ◽  
Prolonged Grief ◽  
Neuropsychological Development ◽  
Review Criteria

Taking an integrative approach toward developmental psychology and neurophysiology, this review selects findings from the psychological and medical literature on guilt and bereavement that are relevant to considering whether and how guilt contributes to the development of prolonged grief disorder (PGD) in bereaved persons. Mention of guilt is ubiquitous in literature on general grief and PGD, including 54 articles related to the neuropsychological development and manifestations of guilt and grief, as well as their neuroimaging correlates, that met scoping review criteria. However, mechanisms connecting guilt to development of PGD are scarce. Aspects of guilt are conceptually connected to many PGD criteria, opening avenues to explore treatment of PGD by targeting guilt. Positive and prosocial aspects of guilt are especially neglected in the treatment of psychiatric disorders, and consideration of these aspects may improve interventions for PGD such as complicated grief treatment.

scholarly journals Psychiatric Consultations in General Hospitals: A Scoping Review

2020 ◽  
Vol 14 (2) ◽  
Author(s):  
Seyed Hamzeh Hosseini ◽  
Forouzan Elyasi ◽  
Siavash Moradi ◽  
Maryam Rezapour
Keyword(s):  
Psychiatric Disorders ◽  
Scoping Review ◽  
Web Of Science ◽  
Referral Rate ◽  
Psychiatric Consultation ◽  
Relevant Research ◽  
General Hospitals ◽  
Statistical Comparison ◽  
Literature Evidence ◽  
Male Patients

Context: The rapid growth of psychiatric disorders requires psychiatric consultations to be provided on a greater scale, particularly for hospitalized patients. Objectives: The aim of this study was to evaluate the extent of psychiatric consultation requests in general hospitals and to identify potential gaps in the literature. Evidence Acquisition: This scoping review was based on relevant research published in Web of Science, Scopus, PubMed, Embase, and Cochrane (1977- Dec 2019). The collected literature was closely examined prior to selecting the applicable studies by means of peer review. Data were summarized within a framework of themes comprised of psychiatric consultation, prevalence of psychiatric disorders, hospital departments, diagnosis of psychiatric disorders, and nature of research prior to theoretical classification and tabulation. Results: Ultimately, 22 studies were included in this scoping review. Requests for psychiatric consultations were highest in Austria and Italy, with 22.6% and 13.6% of cases, respectively. The majority of requests were from internal and surgical departments. Consultations were requested more frequently for female patients compared to male patients. mood disorders and substance use disorder were the most diagnostic reports. Conclusions: Taking into consideration the prevalence of psychiatric disorders in patients suffering from physical illnesses, the referral rate results were considerably low. Although the frequency of psychiatric consultation reports vary widely between countries. As we limited the review to articles written in English, this may be due to selection bias. In this review, we identified that methodological differences and the use of different diagnostic criteria are major gaps that limit a definitive statistical comparison between studies.

What's in a model? Network models as tools instead of representations of what psychiatric disorders really are

2019 ◽  
Vol 42 ◽  
Author(s):  
Hanna M. van Loo ◽  
Jan-Willem Romeijn
Keyword(s):  
Psychiatric Disorders ◽  
Network Models ◽  
Model Network

AbstractNetwork models block reductionism about psychiatric disorders only if models are interpreted in a realist manner – that is, taken to represent “what psychiatric disorders really are.” A flexible and more instrumentalist view of models is needed to improve our understanding of the heterogeneity and multifactorial character of psychiatric disorders.

Psychiatric Disorders Inherited Separately From Atopy

2005 ◽  
Vol 36 (2) ◽  
pp. 63
Author(s):  
DAMIAN MCNAMARA
Keyword(s):  
Psychiatric Disorders
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