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ABSTRACT Background: The greatest contributor to the economic impact of common mental disorders (CMDs) is said to be the loss of work productivity. There is a paucity of studies from India that looks at the impact of CMDs on the productivity of work, which costs both patient and society significantly. Aim: To assess and compare work productivity by evaluating both absolute and relative presenteeism and absenteeism, in persons with CMDs. Materials and Methods: This was a cross-sectional observational study on 220 subjects (110, 58, and 52 patients with depressive disorder, anxiety disorders, and somatoform disorders, respectively), recruited through purposive sampling. We evaluated work productivity using the World Health Organization Health and Work Performance Questionnaire. Results: Absolute absenteeism was significantly different before and after treatment for CMDs as a group but not for individual disorders. Relative absenteeism, absolute presenteeism, and relative presenteeism were all significantly different before and after treatment among both CMDs as a group and also among individual disorders. Both presenteeism and absenteeism (absolute as well as relative) did not differ significantly across the diagnostic groups. Work productivity has been linearly associated with illness severity and disability. Conclusion: CMDs are associated with a significant loss of work productivity. Presenteeism is costlier than absenteeism in affecting work productivity. Loss of work productivity appears to be transdiagnostic across all CMDs. Also, the severity of loss of work productivity is associated linearly with the severity of illness and disability.

The National Mental Health Survey 2016 (NMHS 2016) was a large epidemiological study, one of its kind, conducted by the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru to overcome the shortcomings of the previous surveys. The detailed report of the study is available in two parts- 'mental health systems' and 'prevalence, pattern and outcomes'. Though done comprehensively, there are some inevitable limitations. The private sector, a substantial health care provider in the country was not a participant in the survey. Though MINI version 6.0 is a standard and structured instrument, it does not cover many commonly encountered mental illnesses like somatoform disorders. Further, the methodology of the survey makes it difficult for an accurate calculation of the prevalence of individual major psychiatric disorders. The survey has been appraised using a standard checklist for prevalence studies. The detailed qualitative data has not been shared in the report. The contribution of the traditional indigenous systems of healthcare and accessibility of services in rural areas have not been elaborated. Thus, the need for a comprehensive and culturally sensitive assessment tool, involvement of the private sector, and enhancing funding provision to improve the infrastructure are emphasized as future directions for the subsequent phases of the survey.

Background: Environmental factors considerably influence the development of the human cortex during the perinatal period, early childhood, and adolescence. Urban upbringing in the first 15 years of life is a known risk factor for schizophrenia (SCZ). Though the risk of urban birth and upbringing is well-examined from an epidemiological perspective, the biological mechanisms underlying urban upbringing remain unknown. The effect of urban birth and upbringing on functional brain connectivity in SCZ patients is not yet examined. Methods: This is a secondary data analysis of three studies that included 87 patients with SCZ and 70 healthy volunteers (HV) aged 18 to 50 years. We calculated the developmental urbanicity index using a validated method in earlier studies. Following standard pre-processing of resting functional magnetic resonance imaging (fMRI) scans, seed-return on investment (ROI) functional connectivity analysis was performed. Results: The results showed a significant association between urban birth and upbringing on functional connectivity in SCZ patients and HV (P < 0.05). In SCZ patients, connections from the right caudate, anterior cingulate cortex, left and right intracalcarine cortices, left and right lingual gyri, left posterior parahippocampal cortex to the cerebellum, fusiform gyri, lateral occipital cortex, and amygdala were significantly associated with the urbanicity index (P < 0.05). Conclusions: These study findings suggest a significant association between urban birth and upbringing on functional brain connectivity in regions involved in reward processing and social cognition in SCZ. Assessment of social cognition could have implications in developing an in-depth understanding of this impairment in persons with SCZ.

Objective: To generate the normative data of auditory P300 event-related potential for various age groups in the Indian population. Materials and Methods: Auditory P300 event-related potentials, using the oddball paradigm, of healthy control participants in studies carried out at our institute were included to generate normative data in the age range of 10-50 years. The amplitude and latency of P300 for Fz, Cz, and Pz were selected for analysis. Results: For P300 amplitude, overall multivariate analysis of variance (MANOVA) was significant [Pillai's Trace F (9/453) = 3.46, P < 0.001]. Follow-up ANOVA showed significant difference across age groups at Fz, Cz, and Pz. For P300 latency, there was a trend towards significance for overall MANOVA [Pillai's Trace F (9/453) = 1.68, P = 0.09]. Follow-up ANOVA showed a trend towards significant difference across age groups at Fz only. Conclusion: Our study generated a P300 amplitude and frequency normative database at Fz, Cz, and Pz, which will serve as a reference for future studies attempting to define P300 abnormalities in various psychiatric disorders in Indian population.

In continuation to above finding there was significant positive correlation was found among age, duration of dependence, AUDIT score and liver enzyme levels. [...]present work also support the deleterious effect of alcohol associated with longer duration of use.

The National Mental Health Survey 2016 (NMHS 2016) was a large epidemiological study, one of its kind, conducted by the National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru to overcome the shortcomings of the previous surveys. The detailed report of the study is available in two parts- 'mental health systems' and 'prevalence, pattern and outcomes'. Though done comprehensively, there are some inevitable limitations. The private sector, a substantial health care provider in the country was not a participant in the survey. Though MINI version 6.0 is a standard and structured instrument, it does not cover many commonly encountered mental illnesses like somatoform disorders. Further, the methodology of the survey makes it difficult for an accurate calculation of the prevalence of individual major psychiatric disorders. The survey has been appraised using a standard checklist for prevalence studies. The detailed qualitative data has not been shared in the report. The contribution of the traditional indigenous systems of healthcare and accessibility of services in rural areas have not been elaborated. Thus, the need for a comprehensive and culturally sensitive assessment tool, involvement of the private sector, and enhancing funding provision to improve the infrastructure are emphasized as future directions for the subsequent phases of the survey.

Background: The binarian model views melancholia as a distinct depressive class, whereas the unitarian model views it as a more severe expression of depression. This study aims to investigate the sociodemographic, clinical, and course differences between melancholic and non-melancholic depression. Methods: This prospective observational study was carried out at Kasturba Hospital, Manipal, India from November 2010 to September 2011. We recruited consecutive inpatients aged 18 to 60 years who have a diagnosis of depressive disorder (based on ICD-10), with or without any psychiatric or physical comorbidities. Patients were categorised into melancholia and non-melancholia using the CORE questionnaire, with scores of >=8 indicating the presence of melancholic depression. In addition, patients were evaluated using the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Somatoform Symptom Checklist, Columbia Suicide Severity Rating Scale, Clinical Global Impression, and Presumptive Stressful Life Events Scale at baseline and at 1, 3, and 6 months. Results: Of 87 inpatients with a diagnosis of depression, 50 met the inclusion criteria and 37 were excluded. Compared with patients with non-melancholic depression, patients with melancholic depression had higher depression score (30.8 vs 23.8, p < 0.001), had higher number of patients with psychotic depression (39.1% vs 7.4%, p = 0.007), had higher overall illness severity score (5.9 vs 4.8, p < 0.001), and had higher number of patients with suicidal ideation and suicidal behaviour. Regarding the course of melancholia, the number of melancholic patients decreased from 23 at baseline to eight at 1 month, three at 3 months, and three at 6 months. Scores of non-interactiveness, retardation, and agitation decrease significantly over 3 months. Conclusions: The construct and course of melancholia may be viewed as a part of depression, more in line with severe depression. Melancholia increases the risk for suicidal ideation and suicidal behaviour.