We suggest that the reported alexithymia of patients with eating disorders is complex and independent from basic facial emotion recognition.

Recognition of facially expressed emotions is essential in social interaction. For patients with social phobia, general anxiety disorders, and comorbid anxiety, deficits in their emotion recognition and specific biases have already been reported. This is the first study to investigate facial emotion recognition patterns in patients with panic disorder [PD]. We assumed a general performance deficit in patients with PD. Exploratory analyses should have revealed recognition patterns and specific types of errors. Additionally, we checked the influence of depression and anxiety symptoms, per se, on recognition. A carefully selected group of 37 patients with PD without agoraphobia [DSM-IV 300.01] and no psychiatric comorbidity was compared to 43 controls matched for age and sex. We assessed emotion recognition with the FEEL Test [Facially Expressed Emotion Labeling], using faces displaying fear, anger, sadness, happiness, disgust, and anger. Recognition of emotions in patients with PD was significantly worse than that of controls, specifically, sadness and anger. They also showed a tendency to interpret nonanger emotions as anger. Interestingly, in patients with PD, depressive symptoms were more strongly related to emotion recognition than were anxiety symptoms, and recognition differences between patients and controls disappeared when we controlled for depression. This effect is discussed in the context of previous studies reporting emotion recognition deficits of depressed patients.

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Findings confirm an overall relation between ISP and treatment outcome. In outpatient treatment in AN, patients with a less successful course seem to be more preoccupied with therapy and therapist between sessions. For the ISP facet "applying therapeutic learning," findings point to an optimal range dependent on treatment phase. Growth curve modeling is required to describe the nonlinear trajectories of ISP facets.

BackgroundDepression can be treated in an outpatient, inpatient or day hospital setting. In the German health care system, episodes of inpatient or day hospital treatment are common, but there is a lack of studies evaluating effectiveness in routine care and subgroups of patients with a good or insufficient treatment response. Our study aims at identifying prognostic and prescriptive outcome predictors as well as comparative effectiveness in psychosomatic inpatient and day hospital treatment in depression.Methods/DesignIn a naturalistic study, 300 consecutive inpatient and 300 day hospital treatment episodes in seven psychosomatic hospitals in Germany will be included. Patients are assessed at four time points of measurement (admission, discharge, 3-months follow-up, 12-months follow-up) including a broad range of variables (self-report and expert ratings). First, the whole sample will be analysed to identify prognostic and prescriptive predictors of outcome (primary outcome criterion: Quick Inventory of Depressive Symptoms QIDS-total score, expert rating). Secondly, for a comparison of inpatient and day hospital treatment, samples will be matched according to known predictors of outcome.DiscussionNaturalistic studies with good external validity are needed to assess treatment outcome in depression in routine care and to identify subgroups of patients with different therapeutic needs.Trial registrationCurrent Controlled Trials ISRCTN20317064