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1.
J Eat Disord ; 1: 41, 2013.
Article in English | MEDLINE | ID: mdl-24999419

ABSTRACT

BACKGROUND: Empirically supported therapies for bulimia nervosa include cognitive behaviour therapy and interpersonal therapy. Whilst these treatments have been shown to be effective in multiple randomised controlled trials, little research has investigated how they are perceived by patients who receive them. This study investigated whether empirically-supported psychological therapies (ESTs) are associated with superior self-rated treatment outcomes in clients with Bulimia Nervosa (BN). RESULTS: 98 adults who had received psychological therapy for BN in the United Kingdom completed a questionnaire which retrospectively assessed the specific contents of their psychological therapy and self-rated treatment outcomes. Around half the sample, fifty three participants reported receiving an EST. Fifty of these received Cognitive Behaviour Therapy (CBT) and three Interpersonal Therapy (IPT). Where therapy met expert criteria for Cognitive Behaviour Therapy for Bulimia Nervosa (CBT-BN, an EST) participants reported superior treatment outcomes than those who appeared to receive non-specialist cognitive-behavioural therapy. However, self-rated treatment outcomes were similar overall between those whose therapy met criteria for ESTs and those whose therapy did not. CONCLUSIONS: The findings offer tentative support for the perceived helpfulness of CBT-BN as evaluated in controlled research trials. Cognitive-behavioural therapies for BN, as they are delivered in the UK, may not necessarily be perceived as more beneficial by clients with BN than psychological therapies which currently have less empirical support.

2.
J Neurol Neurosurg Psychiatry ; 82(7): 803-9, 2011 Jul.
Article in English | MEDLINE | ID: mdl-21217155

ABSTRACT

BACKGROUND: Depression and anxiety are common in Parkinson's disease (PD) and although clinically important remain poorly understood and managed. To date, research has tended to treat depression and anxiety as distinct phenomena. There is growing evidence for heterogeneity in PD in the motor and cognitive domains, with implications for pathophysiology and outcome. Similar heterogeneity may exist in the domain of depression and anxiety. OBJECTIVE: To identify the main anxiety and depression related subtype(s) in PD and their associated demographic and clinical features. METHODS: A sample of 513 patients with PD received a detailed assessment of depression and anxiety related symptomatology. Latent Class Analysis (LCA) was used to identify putative depression and anxiety related subtypes. Results LCA identified four classes, two interpretable as 'anxiety related': one anxiety alone (22.0%) and the other anxiety coexisting with prominent depressive symptoms (8.6%). A third subtype (9%) showed a prominent depressive profile only without significant anxiety. The final class (60.4%) showed a low probability of prominent affective symptoms. The validity of the four classes was supported by distinct patterns of association with important demographic and clinical variables. CONCLUSION: Depression in PD may manifest in two clinical phenotypes, one 'anxious-depressed' and the other 'depressed'. However, a further large proportion of patients can have relatively isolated anxiety. Further study of these putative phenotypes may identify important differences in pathophysiology and other aetiologically important factors and focus research on developing more targeted and effective treatment.


Subject(s)
Anxiety/psychology , Depression/psychology , Parkinson Disease/psychology , Aged , Anxiety/classification , Anxiety/epidemiology , Cluster Analysis , Cognition Disorders/etiology , Cognition Disorders/psychology , Depression/classification , Depression/epidemiology , Female , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Multivariate Analysis , Parkinson Disease/complications , Parkinson Disease/epidemiology , Predictive Value of Tests , Psychiatric Status Rating Scales , Reproducibility of Results , Socioeconomic Factors
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