Dysfunctional meta-cognitive beliefs across psychopathology: A meta-analytic review

2016 ◽  
Vol 33 (S1) ◽  
pp. s225-s225 ◽  
Author(s):  
X. Sun ◽  
S.H.W. So ◽  
C. Zhu ◽  
P.W.L. Leung
Keyword(s):  
Psychiatric Disorders ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Analytic Review ◽  
Cognitive Beliefs ◽  
Patient Groups ◽  
Competing Interest ◽  
And Coping

IntroductionIt is assumed that dysfunctional meta-cognitive beliefs about one's thoughts increase problematic appraisals and coping behaviors, which further contribute to the development of mental disorders (Wells and Matthews, 1994; Wells, 2000). Although this research interest originated around generalized anxiety disorder (GAD), recent studies have begun to examine similar meta-cognitive processes in other disorders. The majority of studies using Meta-cognitions Questionnaire (MCQ; Cartwright-Hatton & Wells, 1997) and its variants to assess meta-cognitive beliefs.ObjectivesWe conducted a meta-analysis to integrate empirical findings on group differences in meta-cognitive beliefs between healthy individuals and patients with various psychiatric disorders.MethodsWe followed the PRISMA guideline (Liberati et al., 2009). A systematic literature search was conducted. We included studies that involved a diagnosed psychiatric group and healthy controls (aged 18 or above), reported group comparisons of metacognition, and were published during the period of 1990–27 August 2015. Effect sizes were computed.ResultsA final set of 43 studies was included. Large combined effect sizes were found on each subdomain of the MCQ, indicating increased levels of dysfunctional meta-cognitive beliefs in patients. Subgroup analyses were carried out based on psychiatric diagnosis (i.e. psychosis, n = 10; GAD, n = 7; obsessive-compulsive disorder, OCD, n = 15; anorexia nervosa, n = 5). All patient groups were more dysfunctional on each subtype of meta-cognitive beliefs than controls. Effect size of U/D was particularly large for GAD, and that of CSC was particularly large for OCD.ConclusionsDysfunctional meta-cognitive beliefs are evident across several psychiatric disorders, with specific types of beliefs being more marked in certain diagnoses.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Modelling a Multi-Dimensional Model of Memory Performance in Obsessive-Compulsive Disorder: A Multi-Level Meta-Analytic Review.

2020 ◽  
Author(s):  
Sofia Persson ◽  
Alan Yates ◽  
Klaus Kessler ◽  
Ben Harkin
Keyword(s):  
Executive Function ◽  
Obsessive Compulsive Disorder ◽  
Memory Load ◽  
Memory Performance ◽  
Effect Sizes ◽  
Driving Mechanism ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Analytic Review ◽  
Multi Level

Even though memory performance is a commonly researched aspect of Obsessive-Compulsive Disorder (OCD), a coherent and unified explanation of the role of specific cognitive factors has remained elusive. To address this, the present meta-analysis examined the predictive validity of Harkin and Kessler’s (2011) Executive Function (E), Binding Complexity (B) and Memory Load (L) Classification System with regards to affected vs. unaffected memory performance in OCD. We employed a multi-level meta-analytic approach (Viechtbauer, 2010) to accommodate the interdependent nature of the EBL model and interdependency of effect sizes (305 effect sizes from 144 studies, including 4424 OCD patients). Results revealed that the EBL model predicted memory performance, i.e., as EBL demand increases, those with OCD performed progressively worse on memory tasks. Executive function was the driving mechanism behind the EBL’s impact on OCD memory performance and negated effect size differences between visual and verbal tasks in those with OCD. Comparisons of sub-task effect sizes were also generally in accord with the cognitive parameters of the EBL taxonomy. We conclude that standardised coding of tasks along individual cognitive dimensions and multi-level meta-analyses provides a new approach to examine multi-dimensional models of memory and cognitive performance in OCD and other disorders.

scholarly journals Comprehensive exploration of the genetic contribution of the dopaminergic and serotonergic pathways to psychiatric disorders

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Judit Cabana-Domínguez ◽  
Bàrbara Torrico ◽  
Andreas Reif ◽  
Noèlia Fernàndez-Castillo ◽  
Bru Cormand
Keyword(s):  
Psychiatric Disorders ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Genetic Contribution ◽  
Obsessive Compulsive ◽  
Gene Set ◽  
Compulsive Disorder ◽  
Kegg Pathways ◽  
Gene Sets ◽  
Psychiatric Conditions

AbstractPsychiatric disorders are highly prevalent and display considerable clinical and genetic overlap. Dopaminergic and serotonergic neurotransmission have been shown to play an important role in many psychiatric disorders. Here we aim to assess the genetic contribution of these systems to eight psychiatric disorders (attention-deficit hyperactivity disorder (ADHD), anorexia nervosa (ANO), autism spectrum disorder (ASD), bipolar disorder (BIP), major depression (MD), obsessive-compulsive disorder (OCD), schizophrenia (SCZ) and Tourette’s syndrome (TS)) using publicly available GWAS analyses performed by the Psychiatric Genomics Consortium that include more than 160,000 cases and 275,000 controls. To do so, we elaborated four different gene sets: two ‘wide’ selections for dopamine (DA) and for serotonin (SERT) using the Gene Ontology and KEGG pathways tools, and two’core’ selections for the same systems, manually curated. At the gene level, we found 67 genes from the DA and/or SERT gene sets significantly associated with one of the studied disorders, and 12 of them were associated with two different disorders. Gene-set analysis revealed significant associations for ADHD and ASD with the wide DA gene set, for BIP with the wide SERT gene set, and for MD with the core SERT set. Interestingly, interrogation of a cross-disorder GWAS meta-analysis of the eight psychiatric conditions displayed association with the wide DA gene set. To our knowledge, this is the first systematic examination of genes encoding proteins essential to the function of these two neurotransmitter systems in these disorders. Our results support a pleiotropic contribution of the dopaminergic and serotonergic systems in several psychiatric conditions.

Are we using mass media to raise awareness about psychiatric disorders?

2017 ◽  
Vol 41 (S1) ◽  
pp. S178-S179
Author(s):  
M.Á. Álvarez de mon ◽  
M. Arrieta ◽  
P. Molero ◽  
M. Santos
Keyword(s):  
Mental Disorders ◽  
Mass Media ◽  
Psychiatric Disorders ◽  
Research Strategy ◽  
Obsessive Compulsive ◽  
Human Right ◽  
Compulsive Disorder ◽  
Increased Risk ◽  
The Media ◽  
Competing Interest

IntroductionThe global burden of mental disorders is large and continues to grow. Depression is the leading cause of disability worldwide. Every 40 seconds somebody dies from suicide. People with mental disorders are amongst the most marginalized in society. The stigma they experience puts them at an increased risk of poverty, discrimination and human right violations.ObjectivesTo study the presence of psychiatric disorders in the media.MethodsWe selected and analyzed the top media Twitter accounts of general news outlets, based on their number of followers. Our research strategy focused on the search of several psychiatric terms of interest (ex: “insomnia”) on each Twitter account. The search includes tweets from the beginnings of Twitter in 2007 up to May 2016, and yielded a database of more than 10,000 news.ResultsThe terms with the highest impact in mass media referred to suicide, depression, addictions and gender dysphoria. Disorders related to anxiety (Generalized anxiety, phobias, panic disorder, obsessive-compulsive disorder), dysthymia and bipolar disorder were the psychiatric disorders with the lowest impact. We noticed that the presence of psychiatric disorders in the media is increasing. However, it does not accurately reflect the actual impact it has on society.ConclusionsThe media can be a useful tool for the implementation of strategies for the promotion and prevention of mental disorders. However, we are not fully taking advantage of the benefits that mass media has to offer in order to educate and raise awareness about said disorders.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals The Perception of Physical Health Status in Obsessive-Compulsive Disorder: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 15 (1) ◽  
pp. 75-93 ◽  
Author(s):  
Andrea Pozza ◽  
Fabio Ferretti ◽  
Anna Coluccia
Keyword(s):  
Systematic Review ◽  
Health Status ◽  
Physical Health ◽  
Meta Analysis ◽  
Bodily Pain ◽  
Effect Sizes ◽  
Publication Date ◽  
Physical Health Status ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

Background: Physical Health Status is a neglected outcome in clinical practice with Obsessive-Compulsive Disorder (OCD) and a systematic review is lacking. Objective: The current study presents the first systematic review and meta-analysis summarizing the evidence on (a) perceived Physical Health Status, Bodily Pain and Role Limitations due to Physical Problems in patients with OCD compared with controls, (b) age, gender, severity of OCD symptoms, study publication date, study methodological quality as moderators of perceived Physical Health Status. Methods: Case-control studies were included if they (a) compared OCD patients with healthy/general population participants as controls, and (b) used validated self-report instruments. Two reviewers searched electronic databases, contacted corresponding authors, and examined reference lists/conference proceedings/theses. Results: Fourteen studies were included. A large significant negative effect size without publication bias showed that controls reported higher perceived Physical Health Status than patients with OCD. Medium and small effect sizes favouring controls emerged for Role Limitations due to Physical Problems and Bodily Pain, respectively. Higher age, females percentage, and publication date were associated with larger effect sizes; higher OCD severity and methodological quality were associated with smaller effect sizes. Conclusion: Perceived Physical Health should be evaluated and addressed by clinicians during treatment, particularly with older, female and less severe patients. Lifestyle interventions might be implemented.

Commentary: Meta-analysis of trials comparing antidepressants with active placebos

1998 ◽  
Vol 172 (3) ◽  
pp. 232-234 ◽  
Author(s):  
David Healy
Keyword(s):  
Diagnostic Criteria ◽  
Obsessive Compulsive Disorder ◽  
Treatment Effect ◽  
Antidepressant Treatment ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

This attempt to establish treatment effect sizes follows a tradition, which dates back over 20 years, of assessing the effects of antidepressant treatment under ‘blinder conditions'. The method adopted by Moncrieff et al has some merit but involves a recourse to studies, many of which are over 30 years old. While the studies may not be seriously flawed, it is difficult to have much confidence in them. None appears to have included what the authors describe as an ‘inert’ placebo, which strictly speaking would be a non-drug arm to the study. The number of studies is small. The dose of drugs used, which might be expected to have some influence on outcomes, is not mentioned. Finally, as experience with studies in obsessive-compulsive disorder indicates, treatment effect sizes can vary substantially from one decade to another –most probably because different individuals are recruited although all may apparently meet the same diagnostic criteria.

Meta-analysis of the association of brain-derived neurotrophic factor Val66Met polymorphism with obsessive–compulsive disorder

2015 ◽  
Vol 27 (6) ◽  
pp. 327-335 ◽  
Author(s):  
Jun Wang ◽  
Fuquan Zhang ◽  
Wenxian Zhu ◽  
Yansong Liu ◽  
Zhenhe Zhou
Keyword(s):  
Psychiatric Disorders ◽  
Obsessive Compulsive Disorder ◽  
Neurotrophic Factor ◽  
Meta Analysis ◽  
Brain Derived Neurotrophic Factor ◽  
Genetic Models ◽  
Obsessive Compulsive ◽  
Val66met Polymorphism ◽  
Compulsive Disorder ◽  
Bdnf Val66met Polymorphism

ObjectiveBrain-derived neurotrophic factor (BDNF) plays an important role in neural survival and was proposed to be related to psychiatric disorders. Val66Met (also known as rs6265 or G196A), the only known functional polymorphism of the BDNF gene, has been widely studied and considered to be associated with risk of some psychiatric disorders such as bipolar disorder and schizophrenia. However, studies evaluating its association with obsessive–compulsive disorder (OCD) obtained inconsistent results. The purpose of this study was to derive a more precise estimation of the association between BDNF Val66Met polymorphism and OCD susceptibility by a meta-analysis.MethodWe carried a structured literature search in PubMed, Embase, PsycINFO and Chinese Biomedical Database up to December 2014; and retrieved all eligible case–control studies according to the including criteria. Meta-analysis was performed for four genetic models: allelic model: Met versus Val; additive model: Met/Met versus Val/Val; recessive model: Met/Met versus Val/Val+Val/Met; and dominant model: Val/Met+Met/Met versus Val/Val. Stratified analyses were performed by ethnicity and gender where appropriate.ResultsA total of eight articles with nine studies including 1632 OCD cases and 2417 controls were identified. No significant association was detected in any comparison when the whole data were pooled together or stratified by ethnicity or gender in all four genetic models (p>0.05 for each comparison).ConclusionDespite some limitations, our meta-analysis suggests that no significant association exists between the BDNF Val66Met polymorphism and OCD susceptibility.

Modelling a Multi-Dimensional Model of Memory Performance in Obsessive-Compulsive Disorder: A Multi-Level Meta-Analytic Review.

2020 ◽  
Author(s):  
Ben Harkin ◽  
Klaus Kessler ◽  
Sofia Persson ◽  
Alan Yates
Keyword(s):  
Executive Function ◽  
Obsessive Compulsive Disorder ◽  
Memory Load ◽  
Memory Performance ◽  
Effect Sizes ◽  
Driving Mechanism ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Analytic Review ◽  
Multi Level

Even though memory performance is a commonly researched aspect of Obsessive-Compulsive Disorder (OCD), a coherent and unified explanation of the role of specific cognitive factors has remained elusive. To address this, the present meta-analysis examined the predictive validity of Harkin and Kessler’s (2011) Executive Function (E), Binding Complexity (B) and Memory Load (L) Classification System with regards to affected vs. unaffected memory performance in OCD. We employed a multi-level meta-analytic approach (Viechtbauer, 2010) to accommodate the interdependent nature of the EBL model and interdependency of effect sizes (305 effect sizes from 144 studies, including 4424 OCD patients). Results revealed that the EBL model predicted memory performance, i.e., as EBL demand increases, those with OCD performed progressively worse on memory tasks. Executive function was the driving mechanism behind the EBL’s impact on OCD memory performance and negated effect size differences between visual and verbal tasks in those with OCD. Comparisons of sub-task effect sizes were also generally in accord with the cognitive parameters of the EBL taxonomy. We conclude that standardised coding of tasks along individual cognitive dimensions and multi-level meta-analyses provides a new approach to examine multi-dimensional models of memory and cognitive performance in OCD and other disorders.

Comorbidity of Obsessive-Compulsive and Psychotic Experiences: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Lauren Mawn ◽  
Thomas Campbell ◽  
Charlotte Aynsworth ◽  
Helen Beckwith ◽  
Anna Luce ◽  
...  
Keyword(s):  
Psychotic Disorders ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Future Research ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Current Review ◽  
Pooled Prevalence ◽  
Meta Analyses ◽  
Symptom Criteria

BACKGROUND: Comorbidity between obsessive compulsive disorder (OCD) and psychotic disorders has long been a subject of interest and speculation, with much overlap being reported. The current review seeks to: (1) Investigate the prevalence of co-occurring OCD and psychosis, reporting pooled prevalence rates; and (2) Explore variability in reported rates on the basis of categorical and/or dimensional classifications of OCD and psychosis and (3) explore potential moderators of variability. METHOD: A systematic search was performed of key databases (Embase, PSYCHInfo, MEDLINE, Scopus) from January 1988 to October 2017. Included in the meta-analyses were studies that reported adult (18+) prevalence of comorbid OCD, obsessional compulsive symptoms (OCS) and psychosis-related disorders. RESULTS: 94 articles with 103 effect sizes were extracted. Overall, when using categorical diagnoses the prevalence rate of comorbid OCD and psychotic disorder was 12% (n=155649; k= 81; 95% CI=9-15%). Using diagnostic plus symptom criteria, the prevalence was 24% (n=9563; k = 46, 95% CI=20-28%).CONCLUSION: Given the substantial co-occurrence, it is important that individuals presenting in routine clinical practice are assessed for both disorders. To advance understanding, future research must go beyond comorbidity to explore latent dimensions that may account for their development and/or maintenance (e.g., trauma).

scholarly journals Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders

2019 ◽  
Author(s):  
◽  
Phil H. Lee ◽  
Verneri Anttila ◽  
Hyejung Won ◽  
Yen-Chen A. Feng ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Pleiotropic Effects ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Hyperactivity Disorder ◽  
Genome Wide ◽  
Genomic Relationships ◽  
The Brain

SummaryGenetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed a meta-analysis of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders identifying three groups of inter-related disorders. We detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning in the second trimester prenatally, and play prominent roles in a suite of neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.

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