Comparative analysis of demographic characteristics, symptoms and comorbidities of adults and elderly people notified and confirmed with COVID-19 in Brazilian capitals

• Autor(a) principal: Ventura, Maria Williany Silva
• Data de Publicação: 2022
• Outros Autores: Diógenes, Mariana da Silva, Albuquerque, Nila Larisse Silva de, Lima, Glaubervania Alves, Oliveira, Paloma Moreira de, Alexandre, Ingrid Caroline Uchôa, Pascoal, Lívia Maia, Lima, Francisca Elisângela Teixeira
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Reme (Online)
• Texto Completo: https://periodicos.ufmg.br/index.php/reme/article/view/38489
• topic: COVID-19; Sinais e Sintomas; Epidemiologia; Saúde do Adulto; Geriatria; COVID-19; Signs and Symptoms; Epidemiology; Adult Health; Geriatrics; COVID-19; Señales y Síntomas; Epidemiología; Salud del Adulto; Geriatría

Objective: to compare the demographic profile, symptoms and comorbidities of adults and elderly people notified with covid-19 in Brazilian capitals and the Distrito Federal. Methods: Ecological study developed from data from the online platform e-SUS Notifica, completed until January 4, 2021, with a sample consisting of 1,416,252 individuals, using as inclusion criteria: being > 20 years old; reside in Brazilian capitals or the Distrito Federal; and present a positive test result for covid-19. The descriptive analysis included the exposure of absolute and relative frequencies and measures of central tendency. For the inferential analysis, Pearson's chi square test was applied, considering a significant difference for values of p<0.05. Results: males predominated (52%), with a mean age of 43.29 ± 14.85 years. Subjects had cough (45.4%), fever (38.8%) and other symptoms (83.1%). The most prevalent comorbidities were: heart disease (7.1%) and diabetes (4.5%). There was a significant difference (p<0.001) between Brazilian regions, when comparing sex, age, being a health professional, symptoms and comorbidities. Conclusion: the data contributed to the knowledge about the epidemic process of covid-19 in Brazil in the first year of the pandemic and demonstrated the distribution of cases and the relationships between demographic profile, symptoms and pre-existing diseases with the groups of Brazilian capitals.