Impact of substance use disorder on presentation and short-term course of schizophrenia.

The aim of the present study was to compare a cohort of schizophrenia patients with substance use disorder (SUD) with a similar cohort of schizophrenia patients without SUD with regard to sociodemographic variables, clinical variables, psychopathology, anxiety symptoms, depressive symptoms, treatment outcome, and side effect profile of drugs. A total of 143 consecutive inpatients with ICD-10 DCR diagnosis of schizophrenia were included after obtaining informed consent. Patients were evaluated by a semistructured data sheet and Maudsley Addiction Profile. They were then rated by Positive and Negative Symptoms Scale, Calgary Depression Scale, Hamilton Anxiety Rating Scale, and Brief Psychiatric Rating Scale at presentation, three weeks, and six weeks. At three weeks and six weeks, they were also evaluated by UKU Side Effect Rating Scale. Substance abuse was detected in 63.6% schizophrenia patients. Nicotine was the commonest substance followed by cannabis and alcohol. Substance users had longer untreated illness and more depressive symptoms at presentation and six-week follow-up. Dual diagnosis patients had difficulty in abstraction at three and six weeks but not at presentation. Schizophrenia patients with SUD had more depressive symptoms. SUD appeared to mask abstraction difficulties at presentation. Schizophrenia patients with SUD should be carefully assessed for presence of depression.

Internal predictors of burnout in psychiatric nurses: An Indian study.

BACKGROUND: Research has not adequately focused on the issue of burnout in Psychiatric nurses, despite the fact that they suffer considerable stress in their work. Till date no study has been conducted on burnout among psychiatric nurses in India. Further, there is a particular lack of research in internal variables predicting burnout in them. AIMS: To determine whether there are any internal psychological factors relevant to burnout in psychiatric nurses in India. MATERIALS AND METHODS: We recruited 101 psychiatric nurses scoring less than two in General Health Questionnaire, version 12 (GHQ-12) from two psychiatric hospitals after obtaining informed consent. All subjects filled up a sociodemographic data sheet along with global adjustment scale, emotional maturity scale, PGI general well-being scale, locus of control scale, and Copenhagen burnout inventory (CBI). Correlations between burnout and sociodemographic/clinical variables were done by Pearson's r or Spearman's rho. Signi ficant variables were entered in a stepwise multiple linear regression analysis with total burnout score as dependent variable. RESULTS: Age, duration of total period of nursing, prior military training, locus of control, sense of general well-being, adjustment capabilities, and emotional maturity had significant relation with burnout. Of them, emotional maturity was the most significant protective factors against burnout along with adjustment capabilities, sense of physical well-being, and military training in decreasing significance. Together they explained 41% variation in total burnout score which is significant at <0.001 level. An internal locus of control was inversely correlated with burnout, but failed to predict it in regression analysis. CONCLUSION: Emotional maturity, adjustability, sense of general physical well-being as well as prior military training significantly predicted lower burnout. Of them, emotional maturity was the most important predictor. Internal locus of control was also correlated with lower burnout.

Prevalence of psychiatric and physical morbidity in an urban geriatric population.

BACKGROUND: With a rapidly increasing population of older aged people, epidemiological data regarding the prevalence of mental and physical illnesses are urgently required for proper health planning. However, there is a scarcity of such data from India. AIMS: To study the frequency and pattern of psychiatric morbidity present and the association of physical illness with psychiatric morbidity in an elderly urban population. SETTINGS AND DESIGN: Cross-sectional, epidemiological study. MATERIALS AND METHODS: All the consenting elderly persons in a municipal ward division (n=202) were enrolled after surveying a total adult population of 7239 people. A door to door survey was undertaken where the participants were interviewed and physically examined. General Health Questionnaire-12, Mini Mental State Examination, CAGE Questionnaire and Geriatric Depression Scale were used in the interview apart from consulting the available documents. Other family members were also interviewed to verify the information. STATISTICAL ANALYSIS: Chi-square test with Yates correction. RESULTS: Psychiatric illnesses were detected in 26.7% while physical illnesses were present in 69.8% of the population surveyed. Predominant psychiatric diagnoses were depressive disorders, dementia, generalized anxiety disorder, alcohol dependence and bipolar disorder. The most common physical illness was visual impairment, followed by cardiovascular disease, rheumatic illnesses, pulmonary illnesses, hearing impairment, genitourinary diseases and neurological disorders. Presence of dementia was associated with increased age, single/widowed/separated status, nuclear family, economic dependence, low education, cardiovascular disorders, rheumatic disorders and neurological disorders. Depression was associated with female sex, single/widowed/separated status, staying in nuclear families, economic dependence on others and co-morbid physical illnesses, specifically cardiovascular disorders and visual impairment. CONCLUSIONS: This study presented a higher rate of dementia and old age depression. The interesting association with several sociodemographic factors as well as physical illnesses may have important implications for health planning.

Neuroplasticity--a paradigm shift in neurosciences.

Neuroplasticity is the phenomenon in brain where different stimuli lead to increase or decrease in the number of brain cells and remodelling of synapses. Neuroplasticity research has now established beyond doubt that instead being a static cell mass, our brain is actually a dynamic system of neural network that has the capability of significant growth under favourable circumstances. This obviously opens up new possibilities in treatment of disorders where neural loss or synaptic decay is major factor in molecular aetiopathogeneis. Neuroplasticity research unravels the way stress acts. Similarly it gives new hypothesis regarding depression and epilepsy. Novel therapeutic approaches based on neuroplastic findings are also discussed.