8 research outputs found

    Quality of sleep in patients with schizophrenia is associated with quality of life and coping

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    BACKGROUND: While sleep disturbance is widespread in schizophrenia it is less clear whether sleep disturbance is uniquely related to impaired coping and perceived quality of life. METHODS: We simultaneously assessed sleep quality, symptoms, and coping in 29 persons with schizophrenia or schizoaffective disorder in a post acute phase of illness. Assessment instruments included the Pittsburgh Sleep Quality Index; the Positive and Negative Symptom Scale; the Heinrichs Quality of Life Scale; and the Ways of Coping Scale. Multiple regressions were performed predicting quality of life and coping from sleep quality controlling for age and symptom severity. On a subset of seven subjects non-dominant wrist actigraphy was used as an objective check of their self-reported poor sleep. RESULTS: Analyses revealed that poor sleep quality predicted low quality of life (r = -0.493; p = .022) and reduced preference for employing positive reappraisal when facing a stressor (r = -0.0594; p = 0.0012). Actigraphy confirmed poor sleep quality in a subset of subjects. They had shorter sleep duration (p < .0005), shorter average sleep episodes (p < .005) and more episodes of long awakening (p < 0.05) than community norms. CONCLUSION: The results are consistent with the hypotheses that poor sleep may play a unique role in sustaining poor quality of life and impaired coping in patients with schizophrenia. These associations may hold for community controls as well

    Multivariate study of sleep EEG in depression

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    The effects of four subtypes of major depressive disorder on four sleep EEG variables obtained in 153 depressed inpatients were analyzed taking into account the effects of age, gender, DST response and severity of depression. We have found that age significantly affected slow wave sleep. Sleep efficiency and total sleep time were shown to vary with age and severity of depression. Such effects were not detected for REM latency which was influenced by the endogenous subtype and the gender. Our data indicate that in depressed patients sleep EEG measures are influenced by multiple factors.Journal ArticleFLWNAinfo:eu-repo/semantics/publishe
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