Comparative analysis of demographic characteristics, symptoms and comorbidities of adults and elderly people notified and confirmed with COVID-19 in Brazilian capitals
DOI:
https://doi.org/10.35699/2316-9389.2022.38489Keywords:
COVID-19, Signs and Symptoms, Epidemiology, Adult Health, GeriatricsAbstract
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.
Downloads
References
1. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. Knowledge, attitudes, and practices towards COVID-19 among chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020[citado em 2020 dez. 10];16(10):1745-52. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098034/pdf/ijbsv16p1745.pdf
2. Cucinotta D, Vanelli M. WHO declares COVID-19 a pandemic. Acta Biomed. 2020 [citado em 2021 nov. 22]; 91(1):157. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569573/pdf/ACTA-91-157.pdf
3. Nabi KN. Forecasting COVID-19 pandemic: a data-driven analysis. Chaos Solitons Fractals. 2020[citado em 2020 dez. 10];139:110046. Disponível em: https://reader.elsevier.com/reader/sd/pii/S0960077920304434?token=DB4980CED88BAC1A751C7DEC0342AD0037E096D09F5ACC5AB2AB057B458B40D54E526C11A3B971230B0EAEA480FBCE1D&originRegion=us-east-1&originCreation=20211123184009
4. World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. 2020[citado em 2020 nov. 06]. Disponível em: https://covid19.who.int/
5. Pereira MD, Pereira MD, Costa CFT, Santos CKA, Dantas EHM. Aspectos epidemiológicos, clínicos e terapêuticos da COVID-19. J Health Biol Sci. 2020[citado em 2020 nov. 06];8(1):1-8. Disponível em: https://periodicos.unichristus.edu.br/jhbs/article/view/3297
6. Benito LAO, Lima RC, Palmeira AML, Karnikowski MGO, Silva ICR. Variantes do vírus SARS-COV-2 causadoras da COVID-19 no Brasil. REVISA (Online). 2021[citado em 2021 abr. 23];10(1): 205-19. Disponível em: http://revistafacesa.senaaires.com.br/index.php/revisa/article/view/703/610
7. Kumar M, Taki K, Gahlot R, Sharma A, Dhangar K. A chronicle of SARS-CoV-2: Part-I-Epidemiology, diagnosis, prognosis, transmission and treatment. Sci Total Environ. 2020[citado em 2020 nov. 5];734:139278. Disponível em: https://www.sciencedirect.com/science/article/pii/S0048969720327959
8. Ministério da Saúde (BR). e-SUS Notifica. c2021[citado em 2021 novembro. 21]. Disponível em: https://www.gov.br/saude/pt-br/composicao/vigilancia-em-saude-svs/sistemas-de-informacao/e-sus-notifica
9. World Health Organization. Adolescent Health. The Missing Population in Universal Health Coverage. 2018[citado em 2022 jan. 24]. Disponível em: https://www.who.int/pmnch/media/news/2018/Adolescent-Health-Missing-Population-in-UHC.pdf?ua=1
10. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Sistema e-SUS Notifica: Notificações de Síndrome Gripal. 2020[citado em 2020 out. 18]. Disponível em: https://opendatasus.saude.gov.br/dataset/casos-nacionais
11. Kwak SG, Kim JH. Central limit theorem: the cornerstone of modern statistics. Korean J Anesthesiol. 2017[citado em 2021 nov. 19];70(2):144. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370305/pdf/kjae-70-144.pdf
12. Vom Steeg LG, Klein SL. SeXX matters in infectious disease pathogenesis. PLoS Pathog. 2016[citado em 2020 dez. 20];12(2):e1005374. Disponível em: https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1005374
13. Bwire GM. Coronavirus: Why Men are More Vulnerable to Covid-19 Than Women? SN Compr Clin Med. 2020[citado em 2021 nov. 17];2:874–876. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271824/pdf/42399_2020_Article_341.pdf
14. Levorato CD, Mello LM, Silva AS, Nunes AA. Fatores associados à procura por serviços de saúde numa perspectiva relacional de gênero. Cien Saude Colet. 2014[citado em 2021 abr. 23];19(4):1263-74. Disponível em: https://www.scielo.br/j/csc/a/8cp6H8fy9rSpQvGG3WcYXKB/?lang=pt
15. Caliari DN, Campos KM, Santos PS, Louro SN, Curty TN, Mendanha TL, et al. Associação entre as características sociodemográficas e sintomas da COVID-19 em pacientes residentes do Espírito Santo, Brasil. Health Biosc. 2020[citado em 2020 dez. 28];1(2):32-51. Disponível em: https://periodicos.ufes.br/healthandbiosciences/article/view/31396/21336
16. Vedovato TG, Andrade CB, Santos DL, Bitencourt SM, Almeida LPD, Sampaio JFDS. Trabalhadores (as) da saúde e a COVID-19: condições de trabalho à deriva? Rev. bras. saúde ocup. 2021[citado em 2021 nov. 18];46:e146. Disponível em: https://www.scielo.br/j/rbso/a/CHvhLDtkH8WPmSygjHZgzNw/?format=pdf&lang=pt
17. Lima FET, Albuquerque NLS, Florencio SSG, Fontenele MGM, Queiroz APO, Lima GA, et al. Intervalo de tempo decorrido entre o início dos sintomas e a realização do exame para COVID-19 nas capitais brasileiras, agosto de 2020. Epidemiol Serv Saude. Brasília. 2021[citado em 2021 nov. 15];30(1):e2020788. Disponível em: https://www.scielosp.org/pdf/ress/2021.v30n1/e2020788/pt
18. Moreira RS. Análises de classes latentes dos sintomas relacionados à COVID-19 no Brasil: resultados da PNAD-COVID19. Cad Saúde Pública. 2021[citado em 2021 nov. 15]; 37(1):e00238420. Disponível em: https://www.scielo.br/j/csp/a/WSxLPSVrxdqDQ4FGkqTrS7C/?format=pdf&lang=pt
19. Guimarães VHA, de Oliveira-Leandro M, Cassiano C, Marques ALP, Motta C, Freitas-Silva AL, et al. Knowledge About COVID-19 in Brazil: Cross-Sectional Web-Based Study. JMIR Public Health Surveill. 2021 [citado em 2021 nov. 16];7(1):e24756. Disponível em: https://publichealth.jmir.org/2021/1/e24756/
20. Nehme M, Braillard O, Alcoba G, Perone SA, Courvoisier D, Chappuis F, et al. COVID-19 Symptoms: Longitudinal Evolution and Persistence in Outpatient Settings. Annals of Internal Medicine. 2021[citado em 2022 jan. 17];174(5):723-725. Disponível em: https://www.acpjournals.org/doi/full/10.7326/M20-5926
21. Wang B, Li R, Lu Z, Huang Y. Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis. Aging. 2020[citado em 2021 abr. 29];12(7):6049-57. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185114/pdf/aging-12-103000.pdf
22. Mesenburg MA, Hallal PC, Menezes AMB, Barros AJD, Horta BL, Barros FC et al. Doenças crônicas não transmissíveis e COVID-19: resultados do estudo EpiCOVID-19 Brasil. Ver Saude Publica. 2021[Citado em 2021 nov 14];55:38. Disponível em: https://www.scielo.br/j/rsp/a/wQR46xj6RxJGqcr93VMwRsv/?format=pdf&lang=pt
23. Borges GM, Crespo, CD. Aspectos demográficos e socioeconômicos dos adultos brasileiros e a COVID-19: uma análise dos grupos de risco a partir da Pesquisa Nacional de Saúde, 2013. Cad Saúde Pública. 2020[Citado em 2021 nov 14];36(10):e00141020. Disponível em: https://www.scielo.br/j/csp/a/YKRHjz3cSF5sphHX3WVzJRm/?format=pdf&lang=pt
24. Ferrari F. COVID-19: dados atualizados e sua relação com o sistema cardiovascular. Arq Bras Cardiol. 2020[citado em 2021 jan. 15];114(5):823-6. Disponível em: https://www.scielo.br/j/abc/a/TkxNRNcrXLxdmGBX5YqjFMF/?format=pdf&lang=pt
25. Muniyappa R, Gubbi S. COVID-19 pandemic, coronaviruses, and diabetes mellitus. Am J Physiol Endocrinol Metab. 2020[citado em 2021 jan. 16];318(5):736-41. Disponível em: https://journals.physiology.org/doi/full/10.1152/ajpendo.00124.2020
Additional Files
Published
Issue
Section
License
Copyright (c) 2022 REME-Revista Mineira de Enfermagem
This work is licensed under a Creative Commons Attribution 4.0 International License.
Links
Facebook
Instagram
Twitter
