Abstract: Introduction: Medical training involves stressors and possible triggers of mental disorders. Objective: Our study aims to determine the prevalence and factors associated with signs and symptoms of anxiety and depression in medical students during social distancing measures imposed due to the COVID-19 pandemic. Method: A cross-sectional study was conducted between May and June 2020 among medical students from higher education institutions in Pernambuco state, Brazil. An online questionnaire was created using Google Forms containing sociodemographic and clinical characteristics and the Hospital Anxiety and Depression Scale (EHAD). For statistical analysis, multivariate analysis was performed and the risk ratio (RR) and its 95% confidence interval (95%CI) were calculated, considering the significance coefficient (p) <0.05. Result: The variables associated with a higher risk of anxiety signs and symptoms were female gender, decreasing/increasing smoking habit, increasing/not changing drug consumption, decreasing/not practicing leisure, lack of preparation by the university for distance learning, distance learning in place before the pandemic and decline in academic performance compared to previous periods. As for depression, there was a greater risk of increasing/not changing the use of medications, decreasing leisure time, university not being prepared for distance learning, declining academic performance and brown skin colour. Conclusion: Different factors related to the signs and symptoms of anxiety and depression were identified in the period of social distancing resulting from the COVID-19 pandemic.

Abstract: Introduction: Medical training involves stressors and possible triggers of mental disorders. Objective: Our study aims to determine the prevalence and factors associated with signs and symptoms of anxiety and depression in medical students during social distancing measures imposed due to the COVID-19 pandemic. Method: A cross-sectional study was conducted between May and June 2020 among medical students from higher education institutions in Pernambuco state, Brazil. An online questionnaire was created using Google Forms containing sociodemographic and clinical characteristics and the Hospital Anxiety and Depression Scale (EHAD). For statistical analysis, multivariate analysis was performed and the risk ratio (RR) and its 95% confidence interval (95%CI) were calculated, considering the significance coefficient (p) <0.05. Result: The variables associated with a higher risk of anxiety signs and symptoms were female gender, decreasing/increasing smoking habit, increasing/not changing drug consumption, decreasing/not practicing leisure, lack of preparation by the university for distance learning, distance learning in place before the pandemic and decline in academic performance compared to previous periods. As for depression, there was a greater risk of increasing/not changing the use of medications, decreasing leisure time, university not being prepared for distance learning, declining academic performance and brown skin colour. Conclusion: Different factors related to the signs and symptoms of anxiety and depression were identified in the period of social distancing resulting from the COVID-19 pandemic.

Abstract Objectives: to determine the frequency and factors associated with severe / extreme signs and symptoms of stress, anxiety and depression in diabetic patients during the COVID-19 pandemic. Methods: cross-sectional study conducted in April /May 2020, which included 162 individuals with diabetes mellitus and over 18 years old. An online questionnaire was applied on social networks, composed of biological, sociodemographic, clinical characteristics and the Stress, Anxiety and Depression Scale (DASS-21). For statistical analysis, a multivariate logistic regression model was applied with a 5% significance level. Results: frequency of 37.7%, 43.3% and 45.1% were found for some symptom of stress, anxiety and depression, respectively. The factors associated with sign and symptoms of severe / extreme psychic disorders were: not having religion (stress, anxiety and depression); be at graduation (stress and anxiety); history of anxiety and depression (anxiety and depression); not practicing or decreasing physical exercises and starting, increased or continue taking sleeping medications (stress); history of contact with a suspected case of COVID-19, absence or decreased leisure (anxiety); female gender, absence of a partner, decreased family income and work or study (depression). Conclusion: the frequency of psychological disorders was higher than described in the literature on diabetic patients, being associated with biological, sociodemographic, clinical factors and aspects related to COVID-19 during the pandemic

Abstract Objectives: to determine the frequency and factors associated with severe / extreme signs and symptoms of stress, anxiety and depression in diabetic patients during the COVID-19 pandemic. Methods: cross-sectional study conducted in April /May 2020, which included 162 individuals with diabetes mellitus and over 18 years old. An online questionnaire was applied on social networks, composed of biological, sociodemographic, clinical characteristics and the Stress, Anxiety and Depression Scale (DASS-21). For statistical analysis, a multivariate logistic regression model was applied with a 5% significance level. Results: frequency of 37.7%, 43.3% and 45.1% were found for some symptom of stress, anxiety and depression, respectively. The factors associated with sign and symptoms of severe / extreme psychic disorders were: not having religion (stress, anxiety and depression); be at graduation (stress and anxiety); history of anxiety and depression (anxiety and depression); not practicing or decreasing physical exercises and starting, increased or continue taking sleeping medications (stress); history of contact with a suspected case of COVID-19, absence or decreased leisure (anxiety); female gender, absence of a partner, decreased family income and work or study (depression). Conclusion: the frequency of psychological disorders was higher than described in the literature on diabetic patients, being associated with biological, sociodemographic, clinical factors and aspects related to COVID-19 during the pandemic