The Efficacy of Paroxetine and Placebo in Treating Anxiety and Depression: A Meta-Analysis

2015 ◽  
Author(s):  
Michael A. Sugarman ◽  
Amy M. Loree ◽  
Boris B. Baltes ◽  
Emily R. Grekin ◽  
Irving Kirsch
Keyword(s):  
Meta Analysis ◽  
Anxiety And Depression

App review of anxiety and depression chatbots and their self-care features (Preprint)

2020 ◽  
Author(s):  
Arfan Ahmed ◽  
Nashva ALi ◽  
Sarah Aziz ◽  
Alaa A Abd-Alrazaq ◽  
Asmaa Hassan ◽  
...  
Keyword(s):  
Mental Health ◽  
Meta Analysis ◽  
Self Care ◽  
Anxiety And Depression ◽  
Conversational Agents ◽  
Eligibility Criteria ◽  
On Demand ◽  
User Ratings ◽  
Google Play

BACKGROUND Anxiety and depression rates are at an all-time high along with other mental health disorders. Smartphone-based mental health chatbots or conversational agents can aid psychiatrists and replace some of the costly human based interaction and represent a unique opportunity to expand the availability and quality of mental health services and treatment. Regular up-to-date reviews will allow medics and individuals to recommend or use anxiety and depression related smartphone based chatbots with greater confidence. OBJECTIVE Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. METHODS A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbots for anxiety and depression. Eligibility of the chatbots was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and upon installation by 2 reviewers. Finally, chatbots quality information was assessed by following the mHONcode principles. RESULTS Although around 1000 anxiety and depression related chatbots exist, only a few (n=11) contained actual chatbots that could provide the user a real substitute for a human-human based interaction, even with today's Artificial Intelligence advancements, only one of these chatbots had voice as an input/output modality. Of the selected apps that contained chatbots all were clearly built with a therapeutic human substitute goal in mind. The majority had high user ratings and downloads highlighting the popularity of such chatbots and their promising future within the realm of anxiety and depression. CONCLUSIONS Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed assistance to professionals. In the current covid-19 pandemic, chatbots can also serve as a conversational companion with the potential of combating loneliness, especially in lockdowns where there is a lack of social interaction. Due to the ubiquitous nature of chatbots users can access them on-demand at the touch of a screen on ones’ smartphone. Self-care interventions are known to be effective and exist in various forms and some can be made available as chatbot features, such as assessment, mood tracking, medicine tracking, or simply providing conversation in times of loneliness.

scholarly journals IQ and Internalising Symptoms in Adolescents with ASD

2020 ◽  
Author(s):  
Monisha Edirisooriya ◽  
Dominika Dykiert ◽  
Bonnie Auyeung
Keyword(s):  
Autism Spectrum Disorder ◽  
Intellectual Disabilities ◽  
Emotional Support ◽  
Intelligence Quotient ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Anxiety And Depression ◽  
Social And Emotional ◽  
The Relationship ◽  
Adolescents With Asd

AbstractIntelligence quotient (IQ), has been found to relate to the presence of internalising symptoms in autism spectrum disorder (ASD). This meta-analysis sought to clarify the direction of the relationship between IQ and two prevalent internalising symptoms, anxiety and depression, in adolescents with ASD. Secondly, this study aimed to highlight methodological factors contributing to inconsistent findings in existing research. Self-reported anxiety was found to be significantly higher in youth with a lower IQ, while depression was positively associated with IQ. Consequently, parents, schools and clinicians should be cautious of underestimating anxiety in youth with a lower IQ. However, care should also be taken to ensure adolescents with ASD without intellectual disabilities are not overlooked with regards to social and emotional support.

scholarly journals Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Youth: A Meta-Analysis of Randomized Controlled Outcome Trials

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0119895 ◽  
Author(s):  
David Daniel Ebert ◽  
Anna-Carlotta Zarski ◽  
Helen Christensen ◽  
Yvonne Stikkelbroek ◽  
Pim Cuijpers ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Meta Analysis ◽  
Cognitive Behavioral ◽  
Anxiety And Depression ◽  
Randomized Controlled ◽  
Computer Based

scholarly journals Neural Correlates of Psychotherapy in Anxiety and Depression: A Meta-Analysis

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74657 ◽  
Author(s):  
Irene Messina ◽  
Marco Sambin ◽  
Arianna Palmieri ◽  
Roberto Viviani
Keyword(s):  
Meta Analysis ◽  
Neural Correlates ◽  
Anxiety And Depression

scholarly journals Effectiveness of Transdiagnostic Cognitive Behaviour Therapy for Anxiety and Depression in Adults: A Systematic Review and Meta-analysis

2016 ◽  
Vol 44 (6) ◽  
pp. 673-690 ◽  
Author(s):  
Philip Andersen ◽  
Paul Toner ◽  
Martin Bland ◽  
Dean McMillan
Keyword(s):  
Systematic Review ◽  
Cost Effectiveness ◽  
Cognitive Behaviour Therapy ◽  
Meta Analysis ◽  
Grey Literature ◽  
Anxiety And Depression ◽  
Behaviour Therapy ◽  
Cognitive Behavioural ◽  
Cognitive Behaviour ◽  
Effectiveness Data

Background: Transdiagnostic Cognitive Behaviour Therapy (CBT) seeks to identify core cognitive-behavioural processes hypothesized to be important across a range of disorders and to develop a treatment that targets these. This contrasts with standard CBT approaches that are disorder-specific. Proponents of transdiagnostic CBT suggest that it may offer advantages over disorder-specific CBT, but little is known about the effectiveness of this approach. Aims: The review aimed to summarize trial-based clinical and cost-effectiveness data on transdiagnostic CBT for anxiety and depression. Method: A systematic review of electronic databases, including peer-reviewed and grey literature sources, was conducted (n = 1167 unique citations). Results: Eight trials were eligible for inclusion in the review. There was evidence of an effect for transdiagnostic CBT when compared to a control condition. There were no differences between transdiagnostic CBT and active treatments in two studies. We found no evidence of cost-effectiveness data. Conclusions: Quality assessment of the primary studies indicated a number of methodological concerns that may serve to inflate the observed effects of transdiagnostic approaches. Although there are positive signs of the value of transdiagnostic CBT, there is as yet insufficient evidence to recommend its use in place of disorder-specific CBT.

scholarly journals Burden of predominant psychological reactions among the healthcare workers and general during COVID-19 pandemic phase: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Bhaskar Thakur ◽  
Mona Pathak
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Healthcare Workers ◽  
Global Mental Health ◽  
Meta Analysis ◽  
Random Effect ◽  
Anxiety And Depression ◽  
Psychological Reactions ◽  
Frontline Healthcare Workers ◽  
Anxiety Depression

ABSTRACTAimPresent systematic review and meta-analysis examined the burden of psychological reactions predominantly anxiety, depression, stress and insomnia during novel COVID-19 pandemic phase among the frontline healthcare, non-frontline healthcare and general.MethodologyPubMed, EMBASE and SCOPUS were searched for studies between Jan 1, 2020 to May 25, 2020. Brief protocol of the systematic review was registered with the PROSPERO database, (CRD42020186229).Any study that reported the burden of at least one of psychological reactions including anxiety or depression or stress or insomnia was eligible. Heterogeneity was assessed using I2 statistic and results were synthesized using random effect meta-analysis.ResultsOut of 52eligible studies, 43 reported anxiety, 43 reported depression, 20 reported stress and 11 reported insomnia. Overall prevalence for anxiety, depression, stress and insomnia were 26.6%, 26.2%,26.2% and 34.4% respectively. Anxiety and depression were found highest among the COVID-19 patients (43.3% and 51.75 respectively). Apart from COVID-19 patients, prevalence of anxiety, depression, stress and insomnia were found highest among the frontline healthcare (27.2%, 32.1%,55.6% and 34.4% respectively) as compared to general healthcare workers (26.9%, 15.7%, 7.0% and 34.0% respectively) and general population (25.9%, 25.9%,25.4% and 29.4% respectively).ConclusionAnxiety and depression were found highest among the COVID-19 patients. Apart from COVID-19 patients, the anxiety, depression, stress and insomnia were more prevalent among frontline healthcare workers compared to general. Such increased prevalence is prompting towards the global mental health emergency. Therefore a call of urgent attention and pan-region effective mental-health intervention are required to mitigate these psychological reactions.

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