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Susan M. Bögels

Bio: Susan M. Bögels is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Anxiety & Social anxiety. The author has an hindex of 65, co-authored 314 publications receiving 15774 citations. Previous affiliations of Susan M. Bögels include Katholieke Universiteit Leuven & University of York.


Papers
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Journal ArticleDOI
TL;DR: The relationships between sleep quality, sleep duration, sleepiness and school performance were examined in three separate meta-analyses including influential factors (e.g., gender, age, parameter assessment) as moderators to gain insight into the different relationships.

1,171 citations

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TL;DR: A systematic review of the literature identified 31 studies involving 2,121 young people (aged <18 years) with ASD, and where the presence of anxiety disorder was assessed using standardized questionnaires or diagnostic interviews as discussed by the authors.
Abstract: There is considerable evidence that children and adolescents with autistic spectrum disorders (ASD) are at increased risk of anxiety and anxiety disorders. However, it is less clear which of the specific DSM-IV anxiety disorders occur most in this population. The present study used meta-analytic techniques to help clarify this issue. A systematic review of the literature identified 31 studies involving 2,121 young people (aged <18 years) with ASD, and where the presence of anxiety disorder was assessed using standardized questionnaires or diagnostic interviews. Across studies, 39.6% of young people with ASD had at least one comorbid DSM-IV anxiety disorder, the most frequent being specific phobia (29.8%) followed by OCD (17.4%) and social anxiety disorder (16.6%). Associations were found between the specific anxiety disorders and ASD subtype, age, IQ, and assessment method (questionnaire versus interview). Implications for the identification and treatment of anxiety in young people with ASD are discussed.

1,070 citations

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TL;DR: There is little evidence as yet that identified family factors are specific to child anxiety, rather than to child psychopathology in general, and evidence for a relationship between child anxiety and family factors is predominantly cross-sectional.

632 citations

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TL;DR: Six overlapping mechanisms that could be responsible for change are proposed: reduced vigilance; reduced avoidance; reduced self-focused attention; mindfulness; increased attentional control; increased self-esteem.

535 citations

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TL;DR: The historical background of what is known about fathers' roles in the etiology of anxiety problems is provided and evidence from bottom-up, top-down, and cross-sectional correlation studies of the connections between fathers' and their children's anxiety is provided.

458 citations


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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Journal Article

5,680 citations

Journal ArticleDOI
TL;DR: The results show that the bias is reliably demonstrated with different experimental paradigms and under a variety of experimental conditions, but that it is only an effect size of d = 0.45.
Abstract: This meta-analysis of 172 studies (N = 2,263 anxious, N = 1,768 nonanxious) examined the boundary conditions of threat-related attentional biases in anxiety. Overall, the results show that the bias is reliably demonstrated with different experimental paradigms and under a variety of experimental conditions, but that it is only an effect size of d = 0.45. Although processes requiring conscious perception of threat contribute to the bias, a significant bias is also observed with stimuli outside awareness. The bias is of comparable magnitude across different types of anxious populations (individuals with different clinical disorders, high-anxious nonclinical individuals, anxious children and adults) and is not observed in nonanxious individuals. Empirical and clinical implications as well as future directions for research are discussed.

3,262 citations

Journal ArticleDOI
TL;DR: Effect size estimates suggest that mindfulness-based therapy was moderately effective for improving anxiety and mood symptoms from pre- to posttreatment in the overall sample, and this intervention is a promising intervention for treating anxiety and Mood problems in clinical populations.
Abstract: Objective:Although mindfulness-based therapy has become a popular treatment, little is known about its efficacy. Therefore, our objective was to conduct an effect size analysis of this popular intervention for anxiety and mood symptoms in clinical samples.Method:We conducted a literature search using PubMed, PsycINFO, the Cochrane Library, and manual searches. Our meta-analysis was based on 39 studies totaling 1,140 participants receiving mindfulness-based therapy for a range of conditions, including cancer, generalized anxiety disorder, depression, and other psychiatric or medical conditions. Results:Effect size estimates suggest that mindfulness-based therapy was moderately effective for improving anxiety (Hedges’sg!0.63) and mood symptoms (Hedges’sg!0.59) from pre- to posttreatment in the overall sample. In patients with anxiety and mood disorders, this intervention was associated with effect sizes (Hedges’sg) of 0.97 and 0.95 for improving anxiety and mood symptoms, respectively. These effect sizes were robust, were unrelated to publication year or number of treatment sessions, and were maintained over follow-up.Conclusions:These results suggest that mindfulnessbased therapy is a promising intervention for treating anxiety and mood problems in clinical populations.

3,115 citations