Combined association of obesity and other cardiometabolic diseases with severe COVID-19 outcomes: a nationwide cross-sectional study of 21 773 Brazilian adult and elderly inpatients.
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| Title: | Combined association of obesity and other cardiometabolic diseases with severe COVID-19 outcomes: a nationwide cross-sectional study of 21 773 Brazilian adult and elderly inpatients. |
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| Authors: | Silva NJ; Rede CoVida, Salvador, BA, Brazil silva_natanael@hotmail.com.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil., Ribeiro-Silva RC; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil., Ferreira AJF; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil., Teixeira CSS; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil., Rocha AS; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil., Alves FJO; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil., Falcão IR; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil., Pinto EJ; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Center for Health Sciences, Federal University of Reconcavo da Bahia, Santo Antônio de Jesus, BA, Brazil., Santos CAST; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Department of Exact Sciences, State University of Feira de Santana, Feira de Santana, BA, Brazil., Fiaccone RL; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Institute of Mathematics and Statistics, Federal University of Bahia, Salvador, BA, Brazil., Ichihara MYT; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil., Paixão ES; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK., Barreto ML; Rede CoVida, Salvador, BA, Brazil.; Centre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.; Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil. |
| Source: | BMJ open [BMJ Open] 2021 Aug 09; Vol. 11 (8), pp. e050739. Date of Electronic Publication: 2021 Aug 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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