Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Heritability and polygenic predictionIn the EUR sample, the SNP-based heritability (h 2 SNP ) (that is, the proportion of variance in liability attributable to all measured SNPs)

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Background Depression and anxiety are prevalent mental health issues among medical students due to the various challenges during medical education. These issues affect not only their quality of life, but also their academic and professional development. Coping strategy and resilience are two factors that may influence students’ mental health outcomes. Data of medical student mental health in Indonesia is scarce, hampering efforts to systematically address the problem. Hence, this study aims to estimate the prevalence of depressive and anxiety symptoms in Indonesian medical students, and their association with coping strategy and resilience. Methods Undergraduate medical students from each year of study (Preclinical Year 1 to 4, Clinical Year 1 and 2) in the Faculty of Medicine Universitas Indonesia were randomly selected to participate in this cross-sectional study. The study questionnaire included sociodemographic characteristics, Depression Anxiety Stress Scale (DASS) to measure symptoms of depression and anxiety, Brief COPE to measure coping strategy, and Connor-Davidson Resilience Scale (CD-RISC) to measure resilience. Scores of depression and anxiety symptoms were analyzed by comparing them between different sociodemographic groups and by measuring their correlation with coping strategies and resilience. Multiple regression analyses were conducted to identify predictors of depression and anxiety symptoms. Results Among 532 respondents, 22.2% reported symptoms of depression and 48,1% reported anxiety, including 3.0% and 8.1% with extremely severe depression and anxiety, respectively. Students not living with immediate family had higher depression score; female students and those in Preclinical Year 1 and Clinical Year 1 showed higher anxiety scores. Dysfunctional coping strategies and lower resilience are predictors of higher depression and anxiety symptoms. Conclusions Students show different levels of depressive and anxiety symptoms, signifying different levels of mental health support needs from universal mental health promotion to psychiatric treatment. Prevention programs can be targeted towards students with risk factors, such as not living with immediate family, undergoing first year of preclinical studies or clinical rotations, coping with dysfunctional strategies, and having low resilience. Additionally, medical educators must be aware of other, non-student factors that may impact student mental health, such as curriculum design and learning experience.

Purpose Many studies have evaluated the impact of the COVID-19 pandemic on women’s mental health and menstrual changes. However, most of these studies only included nonhospitalized COVID-19 patients, while information on hospitalized women is very limited. Thus, this study aimed to examine the mental health status and menstrual changes in hospitalized female COVID-19 patients. Methods A survey was administered to female COVID-19 patients in the isolation ward of a national referral hospital in Indonesia between January and August 2021, and the women were followed up 3 months after discharge. The survey evaluated menstrual patterns and mental health using the Self Reporting Questionnaire-29 (SRQ-29). Results The study enrolled 158 female patients. There was an increase in patients who had a cycle length of > 32 or < 24 days, and significant increases in menstrual irregularity and heavy menstrual bleeding were noted. Overall, 37.3% of the patients reported a change in menstrual pattern after infection with COVID-19. Based on SRQ-29 scores, 32.3% of the women had neurotic symptoms, 12.7% had psychotic symptoms, and 38.0% had symptoms of posttraumatic stress disorder. Patients with symptoms of mental health disorders were twice as likely to report a menstrual change (OR 2.17, 95% CI 1.12–4.22; p = 0.021). Conclusion Menstrual changes and increased symptoms of mental health disorders occur in hospitalized female COVID-19 patients. The length of isolation was the key factor affecting overall menstrual changes and mental health in hospitalized female COVID-19 patients.