Highlights The current review was done to conduct systematic appraisal of studies conducted on Mental health problems faced by healthcare workers due to the COVID-19 pandemic  Out of 23 articles selected by initial screening 6 original articles were included in the final review.  Review of all the 6 articles showed that several socio-demographic variables like gender, profession, age, place of work, department of work and certain psychological variables like poor social support, self-efficacy were found to be associated with increased reporting of stress, anxiety, depressive symptoms, insomnia in HCW.  There is increasing evidence which suggests that COVID-19 can be an independent risk factor for stress in HCW. Abstract IntroductionThe spread of novel coronavirus (COVID-19) across the globe and the associated morbidity and mortality challenged the nations by several means. One such under-recognized and unaddressed area is the mental health issues medical staff develop during the pandemic. Materials and methods J o u r n a l P r e -p r o o fThis review aimed to review the literature about mental health problems faced by health care workers (HCW) during the COVID-19 pandemic. The literature search was conducted in the following databases: PubMed, Google Scholar, Cochrane Library, Embase. All types of articles published in the last 4 months (January 2020-April 2020) which were relevant to the subject of the review were searched. A total of 23 articles were selected by initial screening and 6 articles were included in the final review. ResultsA review of all the 6 articles showed that current research focused on assessing several aspects of mental health affected in HCW due to COVID-19. Several socio-demographic variables like gender, profession, age, place of work, department of work and psychological variables like poor social support, self-efficacy were associated with increased stress, anxiety, depressive symptoms, insomnia in HCW. There is increasing evidence that suggests that COVID-19 can be an independent risk factor for stress in HCW. ConclusionRegular screening of medical personnel involved in treating, diagnosing patients with COVID-19 should be done for evaluating stress, depression, and anxiety by using multidisciplinary Psychiatry teams.

Over the last three decades burgeoning research has shown that anxiety disorder comorbidity is not only highly prevalent in bipolar disorder (BD), but it also adversely impacts the course, outcome, and treatment of BD. The present review provides an overview of the current trends in research on comorbid anxiety and BDs based on prior reviews and meta-analyses (n = 103), epidemiological surveys, and large-scale clinical studies. The results reiterated the fact that at least half of those with BD are likely to develop an anxiety disorder in their lifetimes and a third of them will manifest an anxiety disorder at any point of time. All types of anxiety disorders were equally common in BD. However, there was a wide variation in rates across different sources, with most of this discrepancy being accounted for by methodological differences between reports. Comorbid anxiety disorders negatively impacted the presentation and course of BD. This unfavourable clinical profile led to poorer outcome and functioning and impeded treatment of BD. Despite the extensive body of research there was paucity of data on aetiology and treatment of anxiety disorder comorbidity in BD. Nevertheless, the substantial burden and unique characteristics of this comorbidity has important clinical and research implications.

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Background: Internet use has spread across the world due to easy accessibility and affordability. However, it has been creating many problems at several levels. So, there is a need to identify the suitability of psychometric properties and the factor structure of the widely used Internet Addiction Test (IAT) in the Indian settings. Our objective was to perform an exploratory factor analysis on the IAT and to test the reliability of the scale. Methods: It was a cross-sectional study that included various professional groups. We used an online questionnaire that included sociodemographic details and Young’s IAT. Exploratory factor analysis was used to identify the factor structure of Young’s IAT in the Indian setup. Results: The mean age of the sample (N = 1,782) was 27.7 years (SD = 8.74) with a predominantly male population 1040 (58.4%). In total, 1.0% (17) of the sample had significant problems with internet usage, whereas 13% (232) were in the range of frequent/occasional problems, and the mean score on IAT was 32 (SD = 16.42). Exploratory factor analysis revealed two factors that explained 49% of the variance (Kaiser–Meyer–Olkin measure of sampling adequacy: 0.95, Bartlett’s test of sphericity: P = 0.000). They were “mood and relationship issues” and “duration and productivity.” Cronbach’s α was 0.92, which indicates a high level of internal consistency. Conclusion: In Indian settings, IAT can be understood based on the two-factor structure. The scale has excellent reliability. Further studies are needed to replicate these results, by using confirmatory factor analysis and validity testing.

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