All antipsychotic side effects, present or past, can have a durable negative impact on patient's attitude toward antipsychotic treatment and adherence. Non-adherence is mainly determined, among other factors, by these negative attitudes, which are partly influenced by the experience of past or present antipsychotic-induced side effects.
Depression is a frequent condition in Alzheimer's disease (AD). The prevalence of depressive symptoms depends on the severity of dementia and the instruments used. Our aim was to assess the prevalence of depression dependent on the severity of dementia by four different scales: The 15-point Geriatric Depression Scale (GDS), the Montgomery and Asperg Depression Scale (MADRS), the Cornell Scale for Depression in Dementia (CSDD) and the Nurses Observation Scale for Geriatric Patients (NOSGER). The study population consisted of 316 patients with Alzheimer's disease from a psychiatric out-patients memory-clinic, which was divided into two groups: mild AD (Mini-Mental Status Examination (MMSE) > or = 18) and moderate to severe AD (MMSE <18). Additionally, internal consistency and correlation of these scales were calculated. Prevalence of depression ranged between 27.5 and 53.4% in mild AD and between 36.3 and 68.4% in moderate to severe AD. Internal consistency was good in all scales (Cronbach's alpha .63-.85). For MADRS and CSDD it was independent of the stage of AD, while in GDS and NOSGER internal consistency decreased with severity of dementia. Correlation between the scales was better in mild AD than moderate to severe AD; the best results were obtained for the correlation between CSDD and MADRS in both groups. We conclude that in our study population CSDD and MADRS were the most consistent tools for detecting depression in AD independently of the severity of dementia.
The Positive and Negative Syndrome Scale (PANSS) was originally designed as a rating system that provides balanced representation of positive and negative symptom features. Evidence from recent factor-analytic studies suggests that a five-dimensional solution appears to best fit the psychopathological data as assessed with the PANSS. To investigate the dimensional structure, we administered the PANSS to 253 inpatients with schizophrenia. In accordance with former studies, principal components analyses yielded five orthogonal dimensions: hostile excitement; negative, cognitive, and positive syndrome; and depression. When compared with questionnaires measuring subjective nonpsychotic experiences of schizophrenia, paranoid mood, and depression, the correlation pattern verifies the PANSS components. In addition, we investigated a subsample of 70 male patients with a Continuous Performance Test (CPT), a Span of Apprehension Task, and a Modality Shift Effect (MSE) paradigm; the CPT was significantly associated with the cognitive syndrome, and the MSE correlated with the negative syndrome.
The purpose of the study was to investigate the facial muscle pattern of disgust in comparison to appetence and joy, using an improved facial EMG method. We analyzed the activity of nine facial muscles in forty healthy subjects. The subject group was randomly divided into two groups (oversaturated vs. hungry) of ten women and ten men each. Four different emotions (disgust, appetence, excited-joy and relaxed-joy) were induced by showing pictures from the IAPS. Pre-visible facial muscle activity was measured with a new facial EMG. A Visual Analog Scale (VAS) was established. Disgust is represented by a specific facial muscle pattern involving M.corrugator and M.orbicularis oculi, clearly distinguishing it from the facial patterns of appetence and joy. The intensity of disgust is stronger in a state of hunger than under oversaturation and is altogether stronger in females than in males. Our findings indicate the possibility to explore the entire emotion system successfully through a state-of-the-art psychophysiological method like our EMG device.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.