scholarly journals Social anxiety in the eating disorders: a systematic review and meta-analysis

2018 ◽  
Vol 48 (15) ◽  
pp. 2477-2491 ◽  
Author(s):  
Jess Kerr-Gaffney ◽  
Amy Harrison ◽  
Kate Tchanturia
Keyword(s):  
Eating Disorders ◽  
Social Anxiety ◽  
Meta Analysis ◽  
Treatment Strategies ◽  
Self Report ◽  
Effect Sizes ◽  
Healthy Controls ◽  
Comorbid Conditions ◽  
Current Review ◽  
Meta Analyses

AbstractSocial anxiety disorder is one of the most common comorbid conditions in eating disorders (EDs). The aim of the current review and meta-analysis is to provide a qualitative summary of what is known about social anxiety (SA) in EDs, as well as to compare levels of SA in those with EDs and healthy controls. Electronic databases were systematically searched for studies using self-report measures of SA in ED populations. In total, 38 studies were identified, 12 of which were included in the meta-analyses. For both anorexia nervosa (AN) and bulimia nervosa, there were significant differences between ED groups and HCs, with medium to large effect sizes. Findings from the qualitative review indicate that levels of SA are similar across the ED diagnoses, and SA improves with treatment in AN. In addition, high levels of SA are associated with more severe ED psychopathology, but not body mass index. These findings add to the wider literature on socio-emotional functioning in EDs, and may have implications for treatment strategies.

scholarly journals Psychological treatment of social anxiety disorder: a meta-analysis

2008 ◽  
Vol 39 (2) ◽  
pp. 241-254 ◽  
Author(s):  
C. Acarturk ◽  
P. Cuijpers ◽  
A. van Straten ◽  
R. de Graaf
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Placebo Control ◽  
Control Groups ◽  
Psychological Treatments ◽  
Randomized Studies ◽  
Meta Analyses

BackgroundOlder meta-analyses of the effects of psychological treatments of social anxiety disorder have found that these treatments have moderate to large effects. However, these earlier meta-analyses also included non-randomized studies, and there are many featured studies in this area which were published after the recent meta-analysis.MethodWe conducted a systematic literature search and identified 29 randomized studies examining the effects of psychological treatments, with a total of 1628 subjects. The quality of studies varied. For the analyses, we used the computer program comprehensive meta-analysis (version 2.2.021; Biostat, Englewood, NJ, USA).ResultsThe mean effect size on social anxiety measures (47 contrast groups) was 0.70, 0.80 on cognitive measures (26 contrast groups) and 0.70 both on depression (19 contrast groups) and general anxiety measures (16 contrast groups). We found some heterogeneity, so we conducted a series of subgroup analyses for different variables of the studies. Studies with waiting-list control groups had significantly larger effect sizes than studies with placebo and treatment-as-usual control groups. Studies aimed at subjects who met Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria for social anxiety disorder had smaller effect sizes than studies in which other inclusion criteria were used.ConclusionsThis study once more makes it clear that psychological treatments of social anxiety disorder are effective in adults, but that they may be less effective in more severe disorders and in studies in which care-as-usual and placebo control groups are used.

Auditory Hallucinations and Reduced Language Lateralization in Schizophrenia: A Meta-analysis of Dichotic Listening Studies

2013 ◽  
Vol 19 (4) ◽  
pp. 410-418 ◽  
Author(s):  
Sebastian Ocklenburg ◽  
René Westerhausen ◽  
Marco Hirnstein ◽  
Kenneth Hugdahl
Keyword(s):  
Effect Size ◽  
Dichotic Listening ◽  
Meta Analysis ◽  
Auditory Hallucinations ◽  
Effect Sizes ◽  
Healthy Controls ◽  
Language Lateralization ◽  
Trait Marker ◽  
Listening Studies ◽  
Meta Analyses

AbstractReduced left-hemispheric language lateralization has been proposed to be a trait marker for schizophrenia, but the empirical evidence is ambiguous. Recent studies suggest that auditory hallucinations are critical for whether a patient shows reduced language lateralization. Therefore, the aim of the study was to statistically integrate studies investigating language lateralization in schizophrenia patients using dichotic listening. To this end, two meta-analyses were conducted, one comparing schizophrenia patients with healthy controls (n = 1407), the other comparing schizophrenia patients experiencing auditory hallucinations with non-hallucinating controls (n = 407). Schizophrenia patients showed weaker language lateralization than healthy controls but the effect size was small (g = −0.26). When patients with auditory hallucinations were compared to non-hallucinating controls, the effect size was substantially larger (g = −0.45). These effect sizes suggest that reduced language lateralization is a weak trait marker for schizophrenia as such and a strong trait marker for the experience of auditory hallucinations within the schizophrenia population. (JINS, 2013, 19, 1–9.)

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).

The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond

2019 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Malgorzata Lagisz ◽  
Rose E O'Dea ◽  
Joanna Rutkowska ◽  
Yefeng Yang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
R Package ◽  
Effect Sizes ◽  
Forest Plot ◽  
Point Estimates ◽  
Aggregate Effect ◽  
The Individual ◽  
Meta Analyses ◽  
Heterogeneous Effect ◽  
Intuitive Interpretation

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, showing point estimates (with 95% confidence intervals; CIs) from a series of subgroups or categories in a meta-regression. We propose a modification of the forest-like plot, which we name the ‘orchard plot’. Orchard plots, in addition to showing overall mean effects and CIs from meta-analyses/regressions, also includes 95% prediction intervals (PIs), and the individual effect sizes scaled by their precision. The PI allows the user and reader to see the range in which an effect size from a future study may be expected to fall. The PI, therefore, provides an intuitive interpretation of any heterogeneity in the data. Supplementing the PI, the inclusion of underlying effect sizes also allows the user to see any influential or outlying effect sizes. We showcase the orchard plot with example datasets from ecology and evolution, using the R package, orchard, including several functions for visualizing meta-analytic data using forest-plot derivatives. We consider the orchard plot as a variant on the classic forest plot, cultivated to the needs of meta-analysts in ecology and evolution. Hopefully, the orchard plot will prove fruitful for visualizing large collections of heterogeneous effect sizes regardless of the field of study.

Identification of and Correction for Publication Bias: Comment

2019 ◽  
Author(s):  
Amanda Kvarven ◽  
Eirik Strømland ◽  
Magnus Johannesson
Keyword(s):  
Publication Bias ◽  
False Positive ◽  
Large Scale ◽  
Meta Analysis ◽  
False Positive Rate ◽  
Effect Sizes ◽  
Replication Studies ◽  
Moderate Reduction ◽  
Positive Rate ◽  
Meta Analyses

Andrews & Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.

scholarly journals A protocol for the systematic review and meta-analysis of thigmotactic behaviour in the open field test in rodent models associated with persistent pain

2021 ◽  
Vol 5 (1) ◽  
pp. e100135
Author(s):  
Xue Ying Zhang ◽  
Jan Vollert ◽  
Emily S Sena ◽  
Andrew SC Rice ◽  
Nadia Soliman
Keyword(s):  
Systematic Review ◽  
Outcome Measure ◽  
Meta Analysis ◽  
Persistent Pain ◽  
Effect Sizes ◽  
Bias Assessment ◽  
Animal Pain ◽  
Trim And Fill ◽  
Meta Analyses ◽  
The Impact

ObjectiveThigmotaxis is an innate predator avoidance behaviour of rodents and is enhanced when animals are under stress. It is characterised by the preference of a rodent to seek shelter, rather than expose itself to the aversive open area. The behaviour has been proposed to be a measurable construct that can address the impact of pain on rodent behaviour. This systematic review will assess whether thigmotaxis can be influenced by experimental persistent pain and attenuated by pharmacological interventions in rodents.Search strategyWe will conduct search on three electronic databases to identify studies in which thigmotaxis was used as an outcome measure contextualised to a rodent model associated with persistent pain. All studies published until the date of the search will be considered.Screening and annotationTwo independent reviewers will screen studies based on the order of (1) titles and abstracts, and (2) full texts.Data management and reportingFor meta-analysis, we will extract thigmotactic behavioural data and calculate effect sizes. Effect sizes will be combined using a random-effects model. We will assess heterogeneity and identify sources of heterogeneity. A risk-of-bias assessment will be conducted to evaluate study quality. Publication bias will be assessed using funnel plots, Egger’s regression and trim-and-fill analysis. We will also extract stimulus-evoked limb withdrawal data to assess its correlation with thigmotaxis in the same animals. The evidence obtained will provide a comprehensive understanding of the strengths and limitations of using thigmotactic outcome measure in animal pain research so that future experimental designs can be optimised. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines and disseminate the review findings through publication and conference presentation.

scholarly journals Pre-post effect sizes should be avoided in meta-analyses

2016 ◽  
Vol 26 (4) ◽  
pp. 364-368 ◽  
Author(s):  
P. Cuijpers ◽  
E. Weitz ◽  
I. A. Cristea ◽  
J. Twisk
Keyword(s):  
Comparison Group ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Behaviour Therapy ◽  
Natural Processes ◽  
Cognitive Behaviour ◽  
Post Test ◽  
The Difference ◽  
Meta Analyses ◽  
Highly Cited

AimsThe standardised mean difference (SMD) is one of the most used effect sizes to indicate the effects of treatments. It indicates the difference between a treatment and comparison group after treatment has ended, in terms of standard deviations. Some meta-analyses, including several highly cited and influential ones, use the pre-post SMD, indicating the difference between baseline and post-test within one (treatment group).MethodsIn this paper, we argue that these pre-post SMDs should be avoided in meta-analyses and we describe the arguments why pre-post SMDs can result in biased outcomes.ResultsOne important reason why pre-post SMDs should be avoided is that the scores on baseline and post-test are not independent of each other. The value for the correlation should be used in the calculation of the SMD, while this value is typically not known. We used data from an ‘individual patient data’ meta-analysis of trials comparing cognitive behaviour therapy and anti-depressive medication, to show that this problem can lead to considerable errors in the estimation of the SMDs. Another even more important reason why pre-post SMDs should be avoided in meta-analyses is that they are influenced by natural processes and characteristics of the patients and settings, and these cannot be discerned from the effects of the intervention. Between-group SMDs are much better because they control for such variables and these variables only affect the between group SMD when they are related to the effects of the intervention.ConclusionsWe conclude that pre-post SMDs should be avoided in meta-analyses as using them probably results in biased outcomes.

scholarly journals Increased plasticity of the bodily self in eating disorders

2011 ◽  
Vol 42 (4) ◽  
pp. 819-828 ◽  
Author(s):  
E. Eshkevari ◽  
E. Rieger ◽  
M. R. Longo ◽  
P. Haggard ◽  
J. Treasure
Keyword(s):  
Eating Disorders ◽  
Visual Processing ◽  
Subjective Experience ◽  
Emotional Dysregulation ◽  
The Body ◽  
Self Report ◽  
Healthy Controls ◽  
Drive For Thinness ◽  
Maintenance Factors ◽  
Self Objectification

BackgroundThe rubber hand illusion (RHI) has been widely used to investigate the bodily self in healthy individuals. The aim of the present study was to extend the use of the RHI to examine the bodily self in eating disorders (EDs).MethodThe RHI and self-report measures of ED psychopathology [the Eating Disorder Inventory – 3 (EDI-3) subscales of Drive for Thinness, Bulimia, Body Dissatisfaction, Interoceptive Deficits, and Emotional Dysregulation; the 21-item Depression, Anxiety and Stress Scale (DASS-21); and the Self-Objectification Questionnaire (SOQ)] were administered to 78 individuals with an ED and 61 healthy controls.ResultsIndividuals with an ED experienced the RHI significantly more strongly than healthy controls on both perceptual (i.e. proprioceptive drift) and subjective (i.e. self-report questionnaire) measures. Furthermore, both the subjective experience of the RHI and associated proprioceptive biases were correlated with ED psychopathology. Approximately 23% of the variance for embodiment of the fake hand was accounted for by ED psychopathology, with interoceptive deficits and self-objectification significant predictors of embodiment.ConclusionsThese results indicate that the bodily self is more plastic in people with an ED. These findings may shed light on both aetiological and maintenance factors involved in EDs, particularly visual processing of the body, interoceptive deficits, and self-objectification.

Meta-analysis of effect sizes reported at multiple time points: A multivariate approach

2012 ◽  
Vol 9 (5) ◽  
pp. 610-620 ◽  
Author(s):  
Thomas A Trikalinos ◽  
Ingram Olkin
Keyword(s):  
Random Effects ◽  
Treatment Effects ◽  
Multivariate Analyses ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Multiple Time ◽  
Time Points ◽  
Fixed And Random Effects ◽  
Multiple Time Points ◽  
Meta Analyses

Background Many comparative studies report results at multiple time points. Such data are correlated because they pertain to the same patients, but are typically meta-analyzed as separate quantitative syntheses at each time point, ignoring the correlations between time points. Purpose To develop a meta-analytic approach that estimates treatment effects at successive time points and takes account of the stochastic dependencies of those effects. Methods We present both fixed and random effects methods for multivariate meta-analysis of effect sizes reported at multiple time points. We provide formulas for calculating the covariance (and correlations) of the effect sizes at successive time points for four common metrics (log odds ratio, log risk ratio, risk difference, and arcsine difference) based on data reported in the primary studies. We work through an example of a meta-analysis of 17 randomized trials of radiotherapy and chemotherapy versus radiotherapy alone for the postoperative treatment of patients with malignant gliomas, where in each trial survival is assessed at 6, 12, 18, and 24 months post randomization. We also provide software code for the main analyses described in the article. Results We discuss the estimation of fixed and random effects models and explore five options for the structure of the covariance matrix of the random effects. In the example, we compare separate (univariate) meta-analyses at each of the four time points with joint analyses across all four time points using the proposed methods. Although results of univariate and multivariate analyses are generally similar in the example, there are small differences in the magnitude of the effect sizes and the corresponding standard errors. We also discuss conditional multivariate analyses where one compares treatment effects at later time points given observed data at earlier time points. Limitations Simulation and empirical studies are needed to clarify the gains of multivariate analyses compared with separate meta-analyses under a variety of conditions. Conclusions Data reported at multiple time points are multivariate in nature and are efficiently analyzed using multivariate methods. The latter are an attractive alternative or complement to performing separate meta-analyses.

A meta-analysis of theory of mind and ‘mentalization’ in borderline personality disorder: a true neuro-social-cognitive or meta-social-cognitive impairment?

2021 ◽  
pp. 1-11
Author(s):  
Emre Bora
Keyword(s):  
Cognitive Impairment ◽  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Theory Of Mind ◽  
Cognitive Style ◽  
Social Cognitive ◽  
Meta Analysis ◽  
Borderline Personality ◽  
Healthy Controls ◽  
Meta Analyses

Abstract Background It is widely accepted that borderline personality disorder (BPD) is associated with significant impairments in mentalization and theory of mind (ToM) which are considered as closely related concepts by many authors particularly in psychoanalytical circles. However, for understanding interpersonal difficulties in personality disorders, it is important to distinguish neuro-social cognitive impairment from the abnormal meta-social-cognitive style of patients. Methods The current systematic review aimed to conduct separate meta-analyses of ‘mentalization’ [reflective functioning (RF] and different aspects of ToM in BPD. A literature search was conducted to locate relevant articles published between January 1990 to July 2021. Random-effect meta-analyses were conducted in 34 studies involving 1448 individuals with BPD and 2006 healthy controls. Results A very large impairment in RF was evident in BPD [d = 1.68, confidence interval (CI) = 1.17–2.19]. In contrast, ToM impairment was modest (d = 0.36, CI = 0.24–0.48). BPD patients underperformed healthy controls in ToM-reasoning (d = 0.44, CI = 0.32–0.56) but not ToM-decoding. Increased HyperToM (d = 0.60, CI = 0.41–0.79) and faux pas recognition (d = 0.62, CI = 0.35–0.90) errors in BPD compared to healthy controls were most robust ToM findings in this meta-analysis. Conclusions BPD is characterized by very severe deficits in RF and modest and selective abnormalities in ToM. Interpersonal problems and difficulties in processing social information in BPD can be best explained by patients' maldaptive meta-social cognitive style and top-down effects of these abnormalities rather than having a primary neuro-social cognitive deficit.

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