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The aim of this study was to evaluate the degree of insight and resistance in a sample of obsessive-compulsive patients, and the predictive value of poor insight with respect to response to treatment with serotonin reuptake inhibitors (SRIs). Ninety-three patients fulfilling DSM-IV criteria for obsessive-compulsive disorder were evaluated. Seventy patients were treated with an SRI in a 24-week open-label trial. Sixteen percent of the patients did not recognize obsessions and compulsions as unreasonable or senseless. Fifty-two percent of the patients did not try to resist, 72% had little or no control over obsessions, and 64% were not able to exercise an effective control over compulsions. Patients with poor insight had a greater severity of obsessive-compulsive symptoms, a higher rate of schizophrenia spectrum disorders in their first-degree relatives and a higher frequency of a history of psychiatric disorders during childhood. Fifty-two percent of the patients with normal insight responded to SRIs, whereas none of the patients with poor insight were found to be responders. These results suggest the utility of the assessment of insight and resistance in obsessive-compulsive patients, also for the prediction of response to treatment with SRIs.

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BackgroundDSM-IV identifies three stress response disorders (acute stress (ASD), post-traumatic stress (PTSD) and adjustment disorders (AD)) that derive from specific life events. An additional condition of complicated grief (CG), well described in the literature, is triggered by bereavement.MethodsThis paper reports on the reliability and validity of the Structured Clinical Interview for Trauma and Loss Spectrum (SCI-TALS) developed to assess the spectrum of stress response. The instrument is based on a spectrum model that emphasizes soft signs, low-grade symptoms, subthreshold syndromes, as well as temperamental and personality traits comprising clinical and subsyndromal manifestations. Study participants, enrolled at 6 Italian Departments of Psychiatry, included consecutive patients with PTSD (N = 48), CG (N = 44), and controls (N = 48).ResultsWe showed good reliability and validity of the SCI-TALS. Domain scores were significantly higher in participants with PTSD or CG compared to controls. There were high correlations between specific SCI-TALS domains and corresponding scores on established measures of similar constructs. Participants endorsing grief and loss events reported similar scores on all instruments, except those with CG who scored significantly higher on the domain of grief reactions.ConclusionThese results support the existence of a specific grief-related condition and the proposal that different forms of stress response have similar manifestations.

Background While previous attempts to elucidate the factor structure of depression tended to agree on a central focus on depressed mood, other factors were not replicated across studies. By examining data from a large number of items covering the range of depressive symptoms, the aim of the present study is to contribute to the identification of the structure of depression on a lifetime perspective. Methods The study sample consisted of 598 patients with unipolar depression who were administered the Mood Spectrum Self-Report (lifetime version) in Italian (N=415) or English (N=183). In addition to classical exploratory factor analysis using tetrachoric correlation coefficients, an IRT-based factor analysis approach was adopted to analyze the data on 74 items of the instrument that explore cognitive, mood and energy/activity features associated with depression. Results Six factors were identified, including `Depressive Mood', `Psychomotor Retardation', `Suicidality', `Drug/Illness related depression', `Psychotic Features' and `Neurovegetative Symptoms', accounting overall for 48.3% of the variance of items. Limitations Clinical information on onset of depression and duration of illness is available only for 350 subjects. Therefore, differences between sites can only be partially accounted using available data. Conclusions Our study confirms the central role of depressed mood, psychomotor retardation and suicidality and identifies the factors `Drug/Illness related depression', `Psychotic features' and the neurovegetative dysregulation not captured by the instruments most frequently used in previous studies. The identification of patients with specific profiles on multiple factors may be useful in achieving greater precision in neuroimaging studies and in informing treatment selection.