Background and Aim: In Asian countries, child bearing is a social obligation. Experience of infertility profoundly affects the personal well-being of women. Women with infertility are at a higher risk of anxiety, depression, and Intimate partner violence (IPV). In this background the present study was carried out to determine IPV and psychiatric comorbidity in women with infertility. Methods: Hundred consecutive women with primary infertility in the age group of 18 years to 45 years were included in the study. Psychiatric diagnosis was made according to DSM-5. Hamilton Anxiety Rating Scale (HAM-A) and Hamilton Depression Rating Scale (HAM-D) were used to assess the severity of the anxiety and depressive symptoms. IPV was assessed using WHO violence against women instrument. Results: The mean age of the 100 women was 26.73 ± 4.23 years, duration of marriage was 7.11 ± 4.177 years and duration of infertility treatment in years was 5.56 ± 3.89. The prevalence of IPV among patients was 50% and psychiatric comorbidity was 46%. When we compared the women who experienced IPV and who did not, the prevalence of anxiety disorder and depressive disorder was high among IPV group. Anxiety, depressive scores in HAM A, HAM D were higher in IPV group compared to the other group and was statistically significant. Conclusion: A significant number of women who had infertility reported IPV. This emphasizes the importance of screening for IPV in these women. It is observed that women with IPV had higher psychiatric comorbidity and may require psychotherapeutic intervention.

Introduction: Depression and anxiety disorder are the common mental disorders. Serotonin ) is a well-established neurotransmitter in the central nervous system (CNS). It has a role in the anxiety, depression, appetite, motor, cognitive and autonomic functions, platelet aggregation and regulation of vascular tone. As the CNS is difficult to access, peripheral platelet models are widely used as the indicators of central 5-HT metabolism; moreover, they are known to reflect central serotonergic function. Mean platelet volume (MPV) is contemplated as the marker of platelet function. It is a measure of platelet size and a good indicator of platelet activity. In this backdrop the current study was carried out to evaluate the MPV in depression and anxiety disorders. Methods: Consecutive 90 depressive disorder patients, 76 anxiety disorder patients, diagnosed according to DSM 5 criteria and 49 healthy control subjects were selected for the study. Hamilton

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Background: A positive attitude toward mental illness is a prerequisite for the provision of holistic care. Thus, a study was undertaken to know the opinion about mental illness among medical students with and without exposure to the psychiatry clinical rotation/postings during their undergraduate training. Materials and Methods: This is a descriptive, cross-sectional study conducted at Adichunchanagiri Institute of Medical Sciences (AIMS), Karnataka. The sample comprised medical undergraduate students with and without exposure to psychiatry clinical postings, respectively. Self-administered socio-demographic and opinion about mental illness (OMI) questionnaires were used to collect the data. Result: Medical undergraduates from 1st and 2nd years who were unexposed to psychiatry and students from 3rd and 4th years who had exposure to psychiatry constituted about 52.17% (n = 252) and 47.83% (n = 231) of the overall sample size. A positive opinion toward mental illness was seen across various subsections of OMI questionnaire, especially in students who had attended psychiatry clinical posting. Conclusion: Opinions can change based on one’s experiences. A positive opinion toward mental illness was seen across medical undergraduate students who had completed psychiatry clinical postings in our study. The study provides valuable insights across various domains or areas wherein a teacher can focus and adjust the teaching methodologies accordingly. In the long run, it might have a positive influence on medical students to understand mental disorders, diagnose them, and manage patients with mental illness.