Abstract
Sleep disorders are highly prevalent in psychiatric illnesses such as major depressive disorder, bipolar disorder. Early identification of sleep disturbances in these disorders would help us prevent the worsening of the illness further. We conducted a study regarding the sleep disturbances among patients admitted with a diagnosis of mood disorder using a questionnaire –Pittsburgh Sleep Quality Index. The details of the patients were collected by means of a semi structured proforma. We analysed the results statistically using SPSS software version 19.The results revealed an equivocal distribution of sleep disturbances in mood disorder. Sleep disturbances prevail in spite of being on medications. Thus our study results emphasize that equally poor sleep quality exists among all mood disorder inpatients irrespective of their diagnostic status. Hence treating the sleep disturbances in these patients will enhance their quality of life.
Highlights
Study Population Patients admitted in the psychiatric ward with a diagnosis of mood disorder [Bipolar disorder current episode Mania, Bipolar disorder current episode- Mixed, Major depressive episode, recurrent depressive disorder]diagnosed by the consultant psychiatrist at the Psychiatry OPD, PSG IMS & R, using Diagnostic and Statistical Manual-IV TR
There was no statistical difference in the overall score of Pittsburgh Sleep Quality Index (PSQI) ( F=0.06, P=0.93), meaning that all three groups were affected by sleep disturbance
Sleep disturbance in bipolar disorder has become an important marker clinically in predicting the relapse of a bipolar episode [6].Early identification of pattern of sleep disturbances would help us prevent the worsening of sleep disorder[3,10].It plays a vital role in controlling the severity of the underlying mood disorder and it reduces the rate of relapse[2,3,4,9,10,11]
Summary
1. To estimate the prevalence of insomnia in mood disorder patients. 2. To estimate the pattern of insomnia in the subtypes of mood disorder (Unipolar depression, Bipolar depression, manic episodes, mixed episodes) 3. To correlate different patterns of insomnia with socioeconomic profile
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