196 research outputs found

    Self-report questionnaires, behavioral assessment tasks, and an implicit behavior measure: do they predict social anxiety in everyday life?

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    Social anxiety is commonly assessed with self-report measures. This study aimed to investigate whether maximum anxiety levels during in vivo and virtual reality behavioral assessment tasks (BATs), and implicit approach-avoidance tendencies during the approach-avoidance task (AAT) explain more variation as predictors of daily social anxiety than self-report measures. A total of 62 university students (Mage = 20.79; SD = 4.91) with high levels of social anxiety completed self-report measures on fear of negative evaluation (FNE-B) as well as fear and avoidance in social situations (Liebowitz social anxiety scale-self report), in vivo and virtual reality BATs, and the AAT (independent variables) in the laboratory. On seven consecutive days, social anxiety, experiential avoidance, and negative social events (dependent variables) were assessed. The results revealed that fear of negative evaluation predicted everyday social anxiety and experiential avoidance. Fear and avoidance in social situations only predicted experiential avoidance. Neither implicit approach-avoidance tendencies during the AAT nor maximum anxiety levels during the in vivo and virtual reality BATs predicted any outcome variable. Our results support the use of self-report questionnaires in the assessment of social anxiety

    Are Rumination and Worry Two Sides of the Same Coin? A Structural Equation Modelling Approach

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    Abstract Worry and rumination are two types of Repetitive Negative Thinking (RNT) that have been shown to be related to the development and maintenance of emotional problems. Whereas these two forms of RNT have traditionally been regarded as distinct and differentially related to psychopathology, researchers have recently argued that worry and rumination share the same process and show a very similar relationship to different forms of psychopathology. In a series of three studies, we employed a structural equation modelling approach to compare these competing hypotheses. Results showed that a bi-factor model (representing RNT by one latent factor with two uncorrelated method factors) provided a better fit to the data than a two-factor model (with worry and rumination represented by separate factors). In addition, the shared variance within the bi-factor model fully accounted for changes in symptom levels of depression and anxiety in two prospective studies. These findings support a transdiagnostic account of RNT. Implications for theory, measurement and clinical practice are discussed

    Long-term effectiveness and prediction of treatment outcome in cognitive behavioral therapy and sertraline for late-life anxiety disorders

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    Background: Although anxiety disorders are prevalent in older adults, randomized controlled trials of treatment effectiveness for late-life anxiety are scarce and have focused primarily on the effectiveness of psychotherapeutic interventions. However, recent findings suggest that in some cases, pharmacological treatment may be more beneficial for late-life anxiety disorders. As yet, there have been no systematic studies investigating prognostic factors for the outcome of cognitive behavioral therapy (CBT) and pharmacotherapy for late-life anxiety. The objective of the present study was to study long-term treatment outcomes and to explore differential predictors for both short-term and long-term treatment outcomes of sertraline and CBT for late-life anxiety disorders. Methods: Participants of a randomized controlled trial (RCT) comparing sertraline and CBT for the treatment of late-life anxiety were contacted one year after completing their treatment, so that predictors for both short-term and long-term treatment outcome could be established. Results: Sertraline showed a greater reduction of symptoms than CBT on anxiety (Hamilton Anxiety Rating Scale; HARS) and worry (Worry Domain Questionnaire) ratings at one-year follow-up. The strongest predictor for short-term CBT outcome was poor perceived health, explaining 40% of the variance in post-treatment residual gain scores on the HARS. The strongest predictor for long-term CBT outcome was neuroticism, explaining 20% of the variance in residual gain scores at one-year follow-up. Analyses revealed no significant predictors for treatment outcome in sertraline participants. Conclusions: Our study suggests that long-term use of sertraline might be more beneficial for late-life anxiety than a 15-week CBT program. Poor perceived health and neuroticism are predictive of less improvement after CBT in anxious older adults. Implications of these findings are discussed

    Home-based parent training for school-aged children with attention-deficit/hyperactivity disorder and behavior problems with remaining impairing disruptive behaviors after routine treatment:a randomized controlled trial

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    The objective is to investigate the effectiveness of home-based behavioral parent training for school-aged children with attention-deficit/hyperactivity disorder (ADHD) and behavior problems with remaining impairing disruptive behaviors after routinely offered treatments in clinical practice. In a randomized controlled study including 73 referred children with ADHD and impairing disruptive symptoms after routine clinical pharmacotherapy and/or clinic-based parent training had been tried or, at least, offered, home-based behavioral parent training (n = 26) was compared to a waiting list (n = 23) and a care-as-usual home-based treatment (n = 24). It was unknown to families which of the home-based treatments that they received. Using mixed models for repeated measures, we examined the effectiveness on the primary outcome measure of children's severity of disruptive behaviors and on a number of secondary outcome measures [the degree to which parents experienced the disruptive behaviors as troublesome, ADHD symptoms, oppositional-defiant disorder (ODD) symptoms, and internalizing problems]. Compared to the waiting list, children receiving home-based parent training improved significantly more regarding severity of disruptive behaviors (ES = 0.75), ADHD symptoms (ES = 0.89), ODD symptoms (ES = 0.65), and internalizing problems (ES = 0.60). Compared to care-as-usual, home-based parent training was more effective in reducing disruptive behaviors (ES = 0.57), ADHD symptoms (ES = 0.89), and ODD symptoms (ES = 0.88). Significantly more reduction of children's internalizing problems was not found. In conclusion, children with ADHD and residual behavioral problems after routine treatment may benefit from home-based behavioral parent training

    A randomized controlled trial of the effectiveness of cognitive-behavioral therapy and sertraline versus a wait-list control group for anxiety disorders in older adults.

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    Objective: This study is the first to investigate the relative effectiveness of cognitive? behavioral therapy (CBT) compared with a selective serotonin reuptake inhibitor (SSRI; sertraline) in a randomized, controlled trial on the treatment of anxiety disorders in older adults. Method: Eighty-four patients 60 years of age and over with a principal diagnosis of generalized anxiety disorder, panic disorder, agoraphobia, or social phobia were randomly assigned to one of three conditions: 15 sessions of CBT, pharmacologic treatment with an SSRI (sertraline; maximum dosage 150 mg), or a waitlist control group. Participants completed measures of primary outcome (anxiety) and coexistent worry and depressive symptoms at baseline, posttreatment, and at three-month follow up. Results: Attrition rates were high in both treatment groups. Consequently, findings are based on a relatively small sample of completers (N=52). Although both CBT and sertraline led to significant improvement in anxiety, worry, and depressive symptoms both at posttreatment and at three-month follow up, sertraline showed superior results on worry symptoms. Effect size estimates for CBT were in the small to medium range both at posttreatment (mean d = 0.42) and at three-month follow up (mean d=0.35), whereas effect sizes for sertraline fell into the large range (posttreatment mean d = 0.94 and three-month follow up mean d= 1.02). The waitlist condition showed virtually no effects (posttreatment mean d = .03). Conclusions: Our findings strongly suggest that the pharmacologic treatment of late-life anxiety with SSRIs has not been given the proper attention in research to date

    Attention bias modification: the Emperor's new suit?

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    A series of primarily laboratory-based studies found attention bias modification in socially anxious participants to lead to reduced anxiety. It is argued that the failure to replicate the positive results of attention bias modification in the study of Carlbring et al. may be due to reasons other than the application through the Internet. A number of controlled studies failed to replicate the positive effects of attention bias modification in clinically rather than subclinically socially anxious subjects. Given the lack of robust evidence for attention bias modification in clinically socially anxious individuals, the author is inclined to consider attention bias modification as 'the Emperor's new suit'. Results achieved with regular Internet-based treatments for social anxiety disorder based on cognitive therapy and exposure methods are much better than those achieved with attention bias modification procedures delivered 'face to face' in clinically distressed participants. Given the lack of robust evidence for attention bias modification in clinical samples, there is no need yet to investigate the implementation of attention bias modification through the Internet

    Cognitive behavioral therapy and mindfulness-based cognitive therapy for depressive symptoms in diabetes patients: design of a randomized controlled trial

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    Background Depressive symptoms are a common problem in patients with diabetes, laying an additional burden on both the patients and the health care system. Patients suffering from these symptoms rarely receive adequate evidence-based psychological help as part of routine clinical care. Offering brief evidence-based treatments aimed at alleviating depressive symptoms could improve patients’ medical and psychological outcomes. However, well-designed trials focusing on the effectiveness of psychological treatments for depressive symptoms in patients with diabetes are scarce. The Mood Enhancement Therapy Intervention Study (METIS) tests the effectiveness of two treatment protocols in patients with diabetes. Individually administered Cognitive Behavioral Therapy (CBT) and Mindfulness-Based Cognitive Therapy (MBCT) are compared with a waiting list control condition in terms of their effectiveness in reducing the severity of depressive symptoms. Furthermore, we explore several potential moderators and mediators of change underlying treatment effectiveness, as well as the role of common factors and treatment integrity. Methods/design The METIS trial has a randomized controlled design with three arms, comparing CBT and MBCT with a waiting list control condition. Intervention groups receive treatment immediately; the waiting list control group receives treatment three months later. Both treatments are individually delivered in 8 sessions of 45 to 60 minutes by trained therapists. Primary outcome is severity of depressive symptoms. Anxiety, well-being, diabetes-related distress, HbA1c levels, and intersession changes in mood are assessed as secondary outcomes. Assessments are held at pre-treatment, several time points during treatment, at post-treatment, and at 3-months and 9-months follow-up. The study has been approved by a medical ethical committee. Discussion Both CBT and MBCT are expected to help improve depressive symptoms in patients with diabetes. If MBCT is at least equally effective as CBT, MBCT can be established as an alternative approach to CBT for treating depressive symptoms in patients with diabetes. By analyzing moderators and mediators of change, more information can be gathered for whom and why CBT and MBCT are effective. Trial registration Clinical Trials NCT01630512

    Optimistic Planning for Markov Decision Processes

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    International audienceThe reinforcement learning community has recently intensified its interest in online planning methods, due to their relative independence on the state space size. However, tight near-optimality guarantees are not yet available for the general case of stochastic Markov decision processes and closed-loop, state-dependent planning policies. We therefore consider an algorithm related to AO* that optimistically explores a tree representation of the space of closed-loop policies, and we analyze the near-optimality of the action it returns after n tree node expansions. While this optimistic planning requires a finite number of actions and possible next states for each transition, its asymptotic performance does not depend directly on these numbers, but only on the subset of nodes that significantly impact near-optimal policies. We characterize this set by introducing a novel measure of problem complexity, called the near-optimality exponent. Specializing the exponent and performance bound for some interesting classes of MDPs illustrates the algorithm works better when there are fewer near-optimal policies and less uniform transition probabilities
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