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Background Emotion processing has received significant research attention in persons with schizophrenia. However, some aspects of this construct, such as emotion awareness, are less researched. In addition, there is limited work on metacognitive awareness and social functioning in persons with schizophrenia. Methods Our sample comprised of 27 participants with schizophrenia- and 26 nonclinical controls. The clinical group was assessed on Scale for Assessment of Positive Symptoms, Scale for Assessment of Negative Symptoms, Tool for Recognition of Emotions in Neuropsychiatric Disorders, Toronto Alexithymia Scale, Metacognitive Assessment Scale, self-reflectiveness subscale of Beck's Cognitive Insight Scale, Scale S and Scale U subscales of the Metacognitive Assessment Scale, and Groningen's Social Dysfunction Scale. Results and Conclusion Participants with schizophrenia had greater deficits in emotion recognition than nonclinical controls (P = 0.05, df = 51). There was no significant correlation between emotion recognition and metacognition in the clinical group. The presence of negative symptoms was significantly associated with social functioning in persons with schizophrenia. Key messages Clinical symptoms, in particular negative symptoms, play an important role in social functioning in persons with schizophrenia and it is necessary to address these along with social cognition in order to improve functioning. Copyright © 2020 Indian Psychiatric Society - South Zonal Branch.Background Doctors in India have increased workload and are at risk for poor sleep and excessive daytime sleepiness which have not been explored much. Methods One hundred doctors selected by convenience sampling from different departments of the hospital were assessed cross-sectionally. Physical parameters which were assessed included height, weight, blood pressure, and diabetes status. Other variables assessed included durations of duty hours and social media usage. Sleep quality and daytime sleepiness were assessed with the Pittsburg Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), respectively. Results Mean age of the participants was 35.3 years with a SD of 6.21. In all, 42% were female. The overall prevalence of poor quality of sleep was 28.3%. Among the participants, junior and senior residents were the most affected; 45% of the junior residents were having a poor quality of sleep. Daytime sleepiness was significantly more common among the junior residents as compared with doctors of other designations (P =0.02). The mean duration of duty hours was highest for the junior residents. Male participants were more likely to be obese and to have systemic hypertension. No significant difference was found for social media usage among different designations or gender. Conclusion Poor sleep quality and excessive daytime sleepiness are highly prevalent among the doctors, especially those who are lower in the hierarchy. Interventions for physical and psychological morbidity among the doctors and strict implementation of guidelines governing duty hours and call schedule of junior physicians are recommended. Copyright © 2020 Indian Psychiatric Society - South Zonal Branch.Background Non-scholastic qualities, namely personal characteristics, interpersonal activities, and communication skills, are needed for the effective functioning of a medical professional. The study aimed to assess non-scholastic qualities and their association with social media usage among medical students. Methods This is a descriptive, cross-sectional study in a tertiary care medical institution in Puducherry, coastal south India. The non-scholastic qualities were assessed by standard questionnaire and categorised as low, moderate and high qualities. Social media usage was assessed by SONTUS (Social Networking Time Use Scale) and the participants were categorised as low, average, high, and extremely high users. Multiple logistic regression analysis was done. KN-62 datasheet Results Out of 270 medical students, 63% belonged to the moderate non-scholastic quality category. About 36% of the students had high non-scholastic quality. Most of the students were extremely high users of social media (60%). About 48% (47/98) of students with high non-scholastic qualities had extremely high social media usage, while 67% (115/172) of students with low and moderate non-scholastic qualities had extremely high social media usage, and both the associations were statistically significant (P = 0.003). Those with a high level of social media usage had 2.27 times (95% CI 1.239-4.166) higher non-scholastic qualities compared to extremely high social media usage. Conclusions The majority had moderate non-scholastic qualities and extremely high use of social media. Copyright © 2020 Indian Psychiatric Society - South Zonal Branch.Background There is a close association between problematic Internet use (PIU), sleep quality, and mental health problems. To evaluate which mental health problem is more associated with coexistence of both PIU and poor sleep quality, we hypothesized a model in which PIU influences sleep quality directly and also through the mediation of three different mental health problems. Methods A total of 402 medical students completed the Persian versions of the Internet Addiction Test, 21-item Depression Anxiety Stress Scale, and Pittsburgh Sleep Quality Index. A maximum likelihood structural equation model was used to assess the hypothesis. For assessment of the indirect effects, bootstrapping was conducted. Results PIU predicted poor sleep quality through indirect pathways by the mediation of mental health problems (P 0.05). Conclusion Findings extend our previous knowledge about the interrelationships between PIU, sleep disturbances, and mental health problems by unveiling the key role of depressive symptoms. Copyright © 2020 Indian Psychiatric Society - South Zonal Branch.Background Burnout among medical students is important for its prevalence, consequences, and modifiable risk factors. Although there are studies on the topic across the globe, Indian studies are few in number. A prevalence estimate of burnout and its determinants among Indian medical graduates will keep us informed about the emotional and motivational factors hindering their professional growth. Methods From a total of 500 students spanning 5 professional years, data could be collected from 375 students. The study used a questionnaire primarily consisting of "personal burnout" domain of the Copenhagen Burnout Inventory (CBI), which is a validated instrument to assess the burnout at a cutoff score of 50. The questionnaire also included a set of potential personal correlates of burnout. In addition to summary statistics, both univariate and multivariate analyses were used for discerning the relationship of these correlates with burnout. Results The prevalence of burnout among medical students in the college under study was 48.