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Associação entre características biopsicossociais e complicações clínicas por COVID-19 autorreferidas em um município brasileiro
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Orientador(es)
Resumo(s)
Objective: This study aimed to analyze the existence of an association between the biopsychosocial profile of people affected and the number of self-reported clinical complications from COVID-19 in a Brazilian city. Methods: This is a cross-sectional (baseline) study, nested in a cohort study, carried out with 217 confirmed cases of COVID-19, interviewed from January to October 2021, during home visits, in a city in the south of Minas Gerais, Brazil. A structured questionnaire with the KoboToolbox resource was used. The independent variables were sociodemographic and clinical profile (comorbidities), quality of life, post-traumatic stress, anxiety, depression, and social support. The dependent variable was the number of self-reported clinical complications from COVID-19. The multivariate linear regression technique was adopted for the analyses. Results: The participants reported multiple clinical complications from COVID-19. There were “four or more” complications in 94.6% of the cases. Having a history of high blood pressure was associated with more complications post-SARS-CoV-2 infection, whereas having a caregiver and presenting with post-traumatic stress were associated with fewer COVID-19 complications. Conclusion: The multisystemic nature of the complications caused by COVID-19 and the associations identified emphasizes the need for an integrated approach to patients and for studies that monitor the effects of the disease on the demands placed on health systems, aiming to better understand and address them.
Descrição
Funding Information: This research was funded by the Office of Research and Graduate Studies of the Universidade Federal de Alfenas (MG), grant number 002/2020. Publisher Copyright: © 2022 Epidemio is a publication of Associação Brasileira de Saúde Coletiva - ABRASCO.
Palavras-chave
Caregivers COVID-19 Hypertension Regression analysis Stress disorders, post-traumatic Epidemiology General Medicine Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being