Mental health and burnout syndrome among postgraduate students in medical and multidisciplinary residencies during the COVID-19 pandemic in Brazil : protocol for a prospective cohort study

Background: The COVID-19 pandemic has led to high levels of physical, psychological, and social stress among health care professionals, including postgraduate students in medical and multidisciplinary residencies. This stress is associated with the intense fear of occupational exposure to SARS-CoV-2, the virus known to cause COVID-19. These professionals are at risk of developing physical and mental illnesses not only due to the infection but also due to prolonged exposure to multidimensional stress and continued work overload. Objective: This study aims to evaluate the prevalence of symptoms suggestive of mental disorders and burnout syndrome and determine the risk factors for burnout among postgraduate students in medical and multidisciplinary residencies in Brazil during the COVID-19 pandemic. Methods: For this prospective cohort study with parallel groups, participants were recruited between July and September 2020 to achieve a sample size of at least 1144 participants. Research instruments such as Depression, Anxiety, and Stress Scale; Patient Health Questionnaire; Brief Resilient Coping Scale; and Oldenburg Burnout Inventory will be used to collect data. Data will be collected in 2 waves: the first wave will include data related to sample characterization and psychosocial evaluation, and the second wave will be launched 12 weeks later and will include an evaluation of the incidence of burnout as well as correlations with the potential predictive factors collected in the first wave. Additionally, we will collect data regarding participants’ withdrawal from work. Results: The recruitment took place from July 29 to September 5, 2020. Data analyses for this phase is already in progress. The second phase of the study is also in progress. The final data collection began on December 1, 2020, and it will be completed by December 31, 2020. Conclusions: We believe the findings of this study will help evaluate the impact of the COVID-19 pandemic on the mental health conditions of health professionals in Brazil as well as contribute to the planning and implementation of appropriate measures that can alleviate these mental health challenges. International Registered Report Identifier (IRRID): DERR1-10.2196/2429

Frequência de disfunção sexual em mulheres com doenças reumáticas

OBJETIVO: Pesquisar a prevalência de disfunção sexual em mulheres com as seguintes doenças reumáticas: lúpus eritematoso sistêmico, artrite reumatoide, esclerose sistêmica, síndrome antifosfolípide e fibromialgia acompanhados no Ambulatório de Reumatologia do Hospital Universitário de Brasília e do Hospital das Clínicas da Universidade de São Paulo. MÉTODOS: Utilizou-se o índice de função sexual feminina (Female Sexual Function Index - FSfi), questionário que contém 19 itens que avaliam 6 domínios: desejo sexual, excitação sexual, lubrificação vaginal, orgasmo, satisfação sexual e dor. RESULTADOS: Foram avaliadas 163 pacientes. A média de idade foi de 40,4 anos. A prevalência de disfunção sexual foi de 18,4%, porém 24,2% das pacientes não apresentaram atividade sexual nas últimas 4 semanas. Entre os subgrupos, as pacientes com fibromialgia e esclerose sistêmica foram as com maior índice de disfunção sexual (33%). Se excluirmos as pacientes sem atividade sexual, a taxa de disfunção sobe para 24,2%. CONCLUSÃO: A prevalência de disfunção sexual encontrada neste estudo foi menor em relação à literatura. Entretanto, 24,2% das pacientes entrevistadas negaram atividade sexual nas últimas 4 semanas, o que pode ter contribuído para o baixo índice de disfunção sexual

General characteristics of the study population.

General characteristics of the study population.</p

Differences between medical residents and nonmedical residents regarding the various characteristics studied—bivariate analyses (unadjusted).

Differences between medical residents and nonmedical residents regarding the various characteristics studied—bivariate analyses (unadjusted).</p

Multivariate logistic regression analysis of predictors associated with burnout (OLBI) among health residents.

Multivariate logistic regression analysis of predictors associated with burnout (OLBI) among health residents.</p

Differences between genders regarding the various variables studied.

Differences between genders regarding the various variables studied.</p

Association between burnout (OLBI) and various characteristics of the participants—bivariate analyses (not adjusted).

Association between burnout (OLBI) and various characteristics of the participants—bivariate analyses (not adjusted).</p

S1 Data -

(XLSX)</p

S1 File -

(PDF)</p