COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data
Brazil has the second highest number of deaths due to COVID-19. Obesity has been associated with an important role in disease development and a worse prognosis. We aimed to explore epidemiological data from Brazil, discussing the potential relationships between obesity and COVID-19 severity in this...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Endocrinology |
| Online Access: | http://dx.doi.org/10.1155/2021/6667135 |
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| author | Diego Assis Gonçalves Victória Ribeiro Ana Gualberto Fernanda Peres Michaela Luconi Jacy Gameiro |
| author_facet | Diego Assis Gonçalves Victória Ribeiro Ana Gualberto Fernanda Peres Michaela Luconi Jacy Gameiro |
| author_sort | Diego Assis Gonçalves |
| collection | DOAJ |
| description | Brazil has the second highest number of deaths due to COVID-19. Obesity has been associated with an important role in disease development and a worse prognosis. We aimed to explore epidemiological data from Brazil, discussing the potential relationships between obesity and COVID-19 severity in this country. We used a public database made available by the Ministry of Health of Brazil (182700 patients diagnosed with COVID-19). Descriptive statistics were used to characterize our database. Continuous data were expressed as median and analyzed by the nonparametric tests Mann–Whitney or one-sample Wilcoxon. The frequencies of categorical variables have been analyzed by chi-square tests of independence or goodness-of-fit. Among the number of deaths, 74% of patients were 60 years of age or older. Patients with obesity who died of COVID-19 were younger (59 years (IQR = 23)) than those without obesity (71 years (IQR = 20), P<0.001, and η2 = 0.0424). Women with obesity who died of COVID-19 were older than men (55 years (IQR = 25) vs. 50 (IQR = 22), P<0.001, and η2 = 0.0263). Furthermore, obesity increases the chances of needing intensive care unit (OR: 1.783, CI: 95%, and P<0.001), needing ventilatory support (OR: 1.537, CI: 95%, and P<0.001 and OR: 2.302, CI: 95%, and P<0.001, for noninvasive and invasive, respectively), and death (OR: 1.411, CI: 95%, and P<0.001) of patients hospitalized with COVID-19. Our analysis supports obesity as a significant risk factor for the development of more severe forms of COVID-19. The present study can direct a more effective prevention campaign and appropriate management of subjects with obesity. |
| format | Article |
| id | doaj-art-1d50dfdb3090419da0ca3f6ad135b0c7 |
| institution | Kabale University |
| issn | 1687-8337 1687-8345 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Endocrinology |
| spelling | doaj-art-1d50dfdb3090419da0ca3f6ad135b0c72025-02-03T06:43:33ZengWileyInternational Journal of Endocrinology1687-83371687-83452021-01-01202110.1155/2021/66671356667135COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian DataDiego Assis Gonçalves0Victória Ribeiro1Ana Gualberto2Fernanda Peres3Michaela Luconi4Jacy Gameiro5Department of Parasitology, Microbiology and Immunology, Federal University of Juiz de Fora, Juiz de Fora, BrazilDepartment of Parasitology, Microbiology and Immunology, Federal University of Juiz de Fora, Juiz de Fora, BrazilDepartment of Parasitology, Microbiology and Immunology, Federal University of Juiz de Fora, Juiz de Fora, BrazilDepartment of Pharmacology, Federal University of São Paulo, São Paulo, BrazilDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Florence, ItalyDepartment of Parasitology, Microbiology and Immunology, Federal University of Juiz de Fora, Juiz de Fora, BrazilBrazil has the second highest number of deaths due to COVID-19. Obesity has been associated with an important role in disease development and a worse prognosis. We aimed to explore epidemiological data from Brazil, discussing the potential relationships between obesity and COVID-19 severity in this country. We used a public database made available by the Ministry of Health of Brazil (182700 patients diagnosed with COVID-19). Descriptive statistics were used to characterize our database. Continuous data were expressed as median and analyzed by the nonparametric tests Mann–Whitney or one-sample Wilcoxon. The frequencies of categorical variables have been analyzed by chi-square tests of independence or goodness-of-fit. Among the number of deaths, 74% of patients were 60 years of age or older. Patients with obesity who died of COVID-19 were younger (59 years (IQR = 23)) than those without obesity (71 years (IQR = 20), P<0.001, and η2 = 0.0424). Women with obesity who died of COVID-19 were older than men (55 years (IQR = 25) vs. 50 (IQR = 22), P<0.001, and η2 = 0.0263). Furthermore, obesity increases the chances of needing intensive care unit (OR: 1.783, CI: 95%, and P<0.001), needing ventilatory support (OR: 1.537, CI: 95%, and P<0.001 and OR: 2.302, CI: 95%, and P<0.001, for noninvasive and invasive, respectively), and death (OR: 1.411, CI: 95%, and P<0.001) of patients hospitalized with COVID-19. Our analysis supports obesity as a significant risk factor for the development of more severe forms of COVID-19. The present study can direct a more effective prevention campaign and appropriate management of subjects with obesity.http://dx.doi.org/10.1155/2021/6667135 |
| spellingShingle | Diego Assis Gonçalves Victória Ribeiro Ana Gualberto Fernanda Peres Michaela Luconi Jacy Gameiro COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data International Journal of Endocrinology |
| title | COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data |
| title_full | COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data |
| title_fullStr | COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data |
| title_full_unstemmed | COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data |
| title_short | COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data |
| title_sort | covid 19 and obesity an epidemiologic analysis of the brazilian data |
| url | http://dx.doi.org/10.1155/2021/6667135 |
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