Association between being underweight and excess body weight before SARS coronavirus type 2 infection and clinical outcomes of coronavirus disease 2019: Multicenter study
The present study aimed to identify associations between extremes in body weight status (underweight and excess body weight) before a COVID-19 diagnosis and clinical outcomes in patients infected with SARS coronavirus type 2. A multicenter cohort study was conducted in eight different states in nort...
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Veröffentlicht in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2022-09, Vol.101, p.111677-111677, Article 111677 |
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creator | Barros-Neto, João Araújo Mello, Carolina Santos Vasconcelos, Sandra Mary Lima Bádue, Gabriel Soares Ferreira, Raphaela Costa Andrade, Maria Izabel Siqueira de Nascimento, Carlos Queiroz do Macena, Mateus de Lima Silva, José Adailton da Clemente, Heleni Aires Petribu, Marina de Moraes Vasconcelos Dourado, Keila Fernandes Pinho, Claudia Porto Sabino Vieira, Renata Adrielle Lima Mello, Leilah Barbosa de Neves, Mariana Brandão das Jesus, Camila Anjos de Santos, Tatiana Maria Palmeira Dos Soares, Bruna Lúcia de Mendonça Medeiros, Larissa de Brito França, Amanda Pereira de Sales, Ana Lina de Carvalho Cunha Furtado, Elane Viana Hortegal Oliveira, Alane Cabral Farias, Fernanda Orrico Freitas, Mariana Carvalho Bueno, Nassib Bezerra |
description | The present study aimed to identify associations between extremes in body weight status (underweight and excess body weight) before a COVID-19 diagnosis and clinical outcomes in patients infected with SARS coronavirus type 2.
A multicenter cohort study was conducted in eight different states in northeastern Brazil. Demographic, clinical (previous diagnosis of comorbidities), and anthropometric (self-reported weight and height) data about individuals who tested positive for COVID-19 were collected. Outcomes included hospitalization, mechanical ventilation, and death. Multivariable logistic regression models, adjusted based on age, sex and previous comorbidities, were used to assess the effects of extremes in body weight status on clinical outcomes.
A total of 1308 individuals were assessed (33.6% were elderly individuals). The univariable analyses showed that only hospitalization was more often observed among underweight (3.2% versus 1.2%) and overweight (68.1% versus 63.3%) individuals. In turn, cardiovascular diseases were more often observed in all clinical outcomes (hospitalization: 19.7% versus 4.8%; mechanical ventilation: 19.9% versus 13.5%; death: 21.8% versus 14.1%). Based on the multivariable analysis, body weight status was not associated with risk of hospitalization (underweight: odds ratio [OR]: 1.10; 95% confidence interval [CI] 95%, 0.50-2.41 and excess body weight: OR: 0.81; 95 CI, 0.57-1.14), mechanical ventilation (underweight: OR: 0.92; 95% CI, 0.52-1.62 and excess weight: OR: 0.90; 95% CI, 0.67-1.19), and death (underweight: OR: 0.61; 95% CI, 0.31-1.20 and excess body weight: OR 0.88; 95% CI, 0.63-1.23).
Being underweight and excess body weight were not independently associated with clinical outcomes in patients with COVID-19 in the herein analyzed cohort. This finding indicates that the association between these variables may be confounded by both age and comorbidities. |
doi_str_mv | 10.1016/j.nut.2022.111677 |
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A multicenter cohort study was conducted in eight different states in northeastern Brazil. Demographic, clinical (previous diagnosis of comorbidities), and anthropometric (self-reported weight and height) data about individuals who tested positive for COVID-19 were collected. Outcomes included hospitalization, mechanical ventilation, and death. Multivariable logistic regression models, adjusted based on age, sex and previous comorbidities, were used to assess the effects of extremes in body weight status on clinical outcomes.
A total of 1308 individuals were assessed (33.6% were elderly individuals). The univariable analyses showed that only hospitalization was more often observed among underweight (3.2% versus 1.2%) and overweight (68.1% versus 63.3%) individuals. In turn, cardiovascular diseases were more often observed in all clinical outcomes (hospitalization: 19.7% versus 4.8%; mechanical ventilation: 19.9% versus 13.5%; death: 21.8% versus 14.1%). Based on the multivariable analysis, body weight status was not associated with risk of hospitalization (underweight: odds ratio [OR]: 1.10; 95% confidence interval [CI] 95%, 0.50-2.41 and excess body weight: OR: 0.81; 95 CI, 0.57-1.14), mechanical ventilation (underweight: OR: 0.92; 95% CI, 0.52-1.62 and excess weight: OR: 0.90; 95% CI, 0.67-1.19), and death (underweight: OR: 0.61; 95% CI, 0.31-1.20 and excess body weight: OR 0.88; 95% CI, 0.63-1.23).
Being underweight and excess body weight were not independently associated with clinical outcomes in patients with COVID-19 in the herein analyzed cohort. This finding indicates that the association between these variables may be confounded by both age and comorbidities.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2022.111677</identifier><identifier>PMID: 35660497</identifier><language>eng</language><publisher>United States: Elsevier Limited</publisher><subject>Age groups ; Aged ; Applied Nutritional Investigation ; Body composition ; Body Mass Index ; Body weight ; Cardiovascular diseases ; Chronic illnesses ; Chronic obstructive pulmonary disease ; Clinical outcomes ; Cohort Studies ; Comorbidity ; Confidence intervals ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - therapy ; COVID-19 Testing ; Death ; Diabetes ; Diagnosis ; Emergency medical care ; Health care ; Hospitalization ; Hospitals ; Humans ; Hypertension ; Infections ; Laboratories ; Mechanical ventilation ; Medical records ; Medical research ; Mortality ; Nutrition ; Older people ; Overweight ; Patients ; Population ; Regression analysis ; Regression models ; Respiratory diseases ; SARS-CoV-2 ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome-related coronavirus ; Statistical analysis ; Thinness - complications ; Thinness - epidemiology ; Underweight ; Ventilation ; Viral diseases ; Viral infections ; Weight control ; Weight Gain</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2022-09, Vol.101, p.111677-111677, Article 111677</ispartof><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>2022. Elsevier Inc.</rights><rights>2022 Elsevier Inc. All rights reserved. 2022 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2727-e93747981b7af596558ee43d769c63d45bc725ac40e5457d11e0f37c6e19d1913</citedby><cites>FETCH-LOGICAL-c2727-e93747981b7af596558ee43d769c63d45bc725ac40e5457d11e0f37c6e19d1913</cites><orcidid>0000-0002-3286-0297 ; 0000-0002-4663-4936 ; 0000-0002-2180-6754 ; 0000-0002-7168-9605 ; 0000-0001-8073-0086 ; 0000-0003-2002-9292 ; 0000-0002-7625-2162</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2681423665?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,64364,64366,64368,72218</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35660497$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barros-Neto, João Araújo</creatorcontrib><creatorcontrib>Mello, Carolina Santos</creatorcontrib><creatorcontrib>Vasconcelos, Sandra Mary Lima</creatorcontrib><creatorcontrib>Bádue, Gabriel Soares</creatorcontrib><creatorcontrib>Ferreira, Raphaela Costa</creatorcontrib><creatorcontrib>Andrade, Maria Izabel Siqueira de</creatorcontrib><creatorcontrib>Nascimento, Carlos Queiroz do</creatorcontrib><creatorcontrib>Macena, Mateus de Lima</creatorcontrib><creatorcontrib>Silva, José Adailton da</creatorcontrib><creatorcontrib>Clemente, Heleni Aires</creatorcontrib><creatorcontrib>Petribu, Marina de Moraes Vasconcelos</creatorcontrib><creatorcontrib>Dourado, Keila Fernandes</creatorcontrib><creatorcontrib>Pinho, Claudia Porto Sabino</creatorcontrib><creatorcontrib>Vieira, Renata Adrielle Lima</creatorcontrib><creatorcontrib>Mello, Leilah Barbosa de</creatorcontrib><creatorcontrib>Neves, Mariana Brandão das</creatorcontrib><creatorcontrib>Jesus, Camila Anjos de</creatorcontrib><creatorcontrib>Santos, Tatiana Maria Palmeira Dos</creatorcontrib><creatorcontrib>Soares, Bruna Lúcia de Mendonça</creatorcontrib><creatorcontrib>Medeiros, Larissa de Brito</creatorcontrib><creatorcontrib>França, Amanda Pereira de</creatorcontrib><creatorcontrib>Sales, Ana Lina de Carvalho Cunha</creatorcontrib><creatorcontrib>Furtado, Elane Viana Hortegal</creatorcontrib><creatorcontrib>Oliveira, Alane Cabral</creatorcontrib><creatorcontrib>Farias, Fernanda Orrico</creatorcontrib><creatorcontrib>Freitas, Mariana Carvalho</creatorcontrib><creatorcontrib>Bueno, Nassib Bezerra</creatorcontrib><title>Association between being underweight and excess body weight before SARS coronavirus type 2 infection and clinical outcomes of coronavirus disease 2019: Multicenter study</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>The present study aimed to identify associations between extremes in body weight status (underweight and excess body weight) before a COVID-19 diagnosis and clinical outcomes in patients infected with SARS coronavirus type 2.
A multicenter cohort study was conducted in eight different states in northeastern Brazil. Demographic, clinical (previous diagnosis of comorbidities), and anthropometric (self-reported weight and height) data about individuals who tested positive for COVID-19 were collected. Outcomes included hospitalization, mechanical ventilation, and death. Multivariable logistic regression models, adjusted based on age, sex and previous comorbidities, were used to assess the effects of extremes in body weight status on clinical outcomes.
A total of 1308 individuals were assessed (33.6% were elderly individuals). The univariable analyses showed that only hospitalization was more often observed among underweight (3.2% versus 1.2%) and overweight (68.1% versus 63.3%) individuals. In turn, cardiovascular diseases were more often observed in all clinical outcomes (hospitalization: 19.7% versus 4.8%; mechanical ventilation: 19.9% versus 13.5%; death: 21.8% versus 14.1%). Based on the multivariable analysis, body weight status was not associated with risk of hospitalization (underweight: odds ratio [OR]: 1.10; 95% confidence interval [CI] 95%, 0.50-2.41 and excess body weight: OR: 0.81; 95 CI, 0.57-1.14), mechanical ventilation (underweight: OR: 0.92; 95% CI, 0.52-1.62 and excess weight: OR: 0.90; 95% CI, 0.67-1.19), and death (underweight: OR: 0.61; 95% CI, 0.31-1.20 and excess body weight: OR 0.88; 95% CI, 0.63-1.23).
Being underweight and excess body weight were not independently associated with clinical outcomes in patients with COVID-19 in the herein analyzed cohort. This finding indicates that the association between these variables may be confounded by both age and comorbidities.</description><subject>Age groups</subject><subject>Aged</subject><subject>Applied Nutritional Investigation</subject><subject>Body composition</subject><subject>Body Mass Index</subject><subject>Body weight</subject><subject>Cardiovascular diseases</subject><subject>Chronic illnesses</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical outcomes</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>Confidence intervals</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - therapy</subject><subject>COVID-19 Testing</subject><subject>Death</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Emergency medical care</subject><subject>Health care</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infections</subject><subject>Laboratories</subject><subject>Mechanical ventilation</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Mortality</subject><subject>Nutrition</subject><subject>Older people</subject><subject>Overweight</subject><subject>Patients</subject><subject>Population</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Respiratory diseases</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome-related coronavirus</subject><subject>Statistical analysis</subject><subject>Thinness - complications</subject><subject>Thinness - epidemiology</subject><subject>Underweight</subject><subject>Ventilation</subject><subject>Viral diseases</subject><subject>Viral infections</subject><subject>Weight control</subject><subject>Weight 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between being underweight and excess body weight before SARS coronavirus type 2 infection and clinical outcomes of coronavirus disease 2019: Multicenter study</title><author>Barros-Neto, João Araújo ; Mello, Carolina Santos ; Vasconcelos, Sandra Mary Lima ; Bádue, Gabriel Soares ; Ferreira, Raphaela Costa ; Andrade, Maria Izabel Siqueira de ; Nascimento, Carlos Queiroz do ; Macena, Mateus de Lima ; Silva, José Adailton da ; Clemente, Heleni Aires ; Petribu, Marina de Moraes Vasconcelos ; Dourado, Keila Fernandes ; Pinho, Claudia Porto Sabino ; Vieira, Renata Adrielle Lima ; Mello, Leilah Barbosa de ; Neves, Mariana Brandão das ; Jesus, Camila Anjos de ; Santos, Tatiana Maria Palmeira Dos ; Soares, Bruna Lúcia de Mendonça ; Medeiros, Larissa de Brito ; França, Amanda Pereira de ; Sales, Ana Lina de Carvalho Cunha ; Furtado, Elane Viana Hortegal ; Oliveira, Alane Cabral ; Farias, Fernanda Orrico ; Freitas, Mariana Carvalho ; Bueno, Nassib Bezerra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2727-e93747981b7af596558ee43d769c63d45bc725ac40e5457d11e0f37c6e19d1913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age groups</topic><topic>Aged</topic><topic>Applied Nutritional Investigation</topic><topic>Body composition</topic><topic>Body Mass Index</topic><topic>Body weight</topic><topic>Cardiovascular diseases</topic><topic>Chronic illnesses</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical outcomes</topic><topic>Cohort Studies</topic><topic>Comorbidity</topic><topic>Confidence intervals</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - therapy</topic><topic>COVID-19 Testing</topic><topic>Death</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Emergency medical care</topic><topic>Health care</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infections</topic><topic>Laboratories</topic><topic>Mechanical ventilation</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Mortality</topic><topic>Nutrition</topic><topic>Older people</topic><topic>Overweight</topic><topic>Patients</topic><topic>Population</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Respiratory diseases</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome-related coronavirus</topic><topic>Statistical analysis</topic><topic>Thinness - complications</topic><topic>Thinness - epidemiology</topic><topic>Underweight</topic><topic>Ventilation</topic><topic>Viral diseases</topic><topic>Viral infections</topic><topic>Weight control</topic><topic>Weight Gain</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barros-Neto, João Araújo</creatorcontrib><creatorcontrib>Mello, Carolina Santos</creatorcontrib><creatorcontrib>Vasconcelos, Sandra Mary Lima</creatorcontrib><creatorcontrib>Bádue, Gabriel Soares</creatorcontrib><creatorcontrib>Ferreira, Raphaela Costa</creatorcontrib><creatorcontrib>Andrade, Maria Izabel Siqueira de</creatorcontrib><creatorcontrib>Nascimento, Carlos Queiroz do</creatorcontrib><creatorcontrib>Macena, Mateus de Lima</creatorcontrib><creatorcontrib>Silva, José Adailton da</creatorcontrib><creatorcontrib>Clemente, Heleni Aires</creatorcontrib><creatorcontrib>Petribu, Marina de Moraes Vasconcelos</creatorcontrib><creatorcontrib>Dourado, Keila Fernandes</creatorcontrib><creatorcontrib>Pinho, Claudia Porto Sabino</creatorcontrib><creatorcontrib>Vieira, Renata Adrielle Lima</creatorcontrib><creatorcontrib>Mello, Leilah Barbosa de</creatorcontrib><creatorcontrib>Neves, Mariana 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(Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barros-Neto, João Araújo</au><au>Mello, Carolina Santos</au><au>Vasconcelos, Sandra Mary Lima</au><au>Bádue, Gabriel Soares</au><au>Ferreira, Raphaela Costa</au><au>Andrade, Maria Izabel Siqueira de</au><au>Nascimento, Carlos Queiroz do</au><au>Macena, Mateus de Lima</au><au>Silva, José Adailton da</au><au>Clemente, Heleni Aires</au><au>Petribu, Marina de Moraes Vasconcelos</au><au>Dourado, Keila Fernandes</au><au>Pinho, Claudia Porto Sabino</au><au>Vieira, Renata Adrielle Lima</au><au>Mello, Leilah Barbosa de</au><au>Neves, Mariana Brandão das</au><au>Jesus, Camila Anjos de</au><au>Santos, Tatiana Maria Palmeira Dos</au><au>Soares, Bruna Lúcia de Mendonça</au><au>Medeiros, Larissa de Brito</au><au>França, Amanda Pereira de</au><au>Sales, Ana Lina de Carvalho Cunha</au><au>Furtado, Elane Viana Hortegal</au><au>Oliveira, Alane Cabral</au><au>Farias, Fernanda Orrico</au><au>Freitas, Mariana Carvalho</au><au>Bueno, Nassib Bezerra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between being underweight and excess body weight before SARS coronavirus type 2 infection and clinical outcomes of coronavirus disease 2019: Multicenter study</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2022-09</date><risdate>2022</risdate><volume>101</volume><spage>111677</spage><epage>111677</epage><pages>111677-111677</pages><artnum>111677</artnum><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>The present study aimed to identify associations between extremes in body weight status (underweight and excess body weight) before a COVID-19 diagnosis and clinical outcomes in patients infected with SARS coronavirus type 2.
A multicenter cohort study was conducted in eight different states in northeastern Brazil. Demographic, clinical (previous diagnosis of comorbidities), and anthropometric (self-reported weight and height) data about individuals who tested positive for COVID-19 were collected. Outcomes included hospitalization, mechanical ventilation, and death. Multivariable logistic regression models, adjusted based on age, sex and previous comorbidities, were used to assess the effects of extremes in body weight status on clinical outcomes.
A total of 1308 individuals were assessed (33.6% were elderly individuals). The univariable analyses showed that only hospitalization was more often observed among underweight (3.2% versus 1.2%) and overweight (68.1% versus 63.3%) individuals. In turn, cardiovascular diseases were more often observed in all clinical outcomes (hospitalization: 19.7% versus 4.8%; mechanical ventilation: 19.9% versus 13.5%; death: 21.8% versus 14.1%). Based on the multivariable analysis, body weight status was not associated with risk of hospitalization (underweight: odds ratio [OR]: 1.10; 95% confidence interval [CI] 95%, 0.50-2.41 and excess body weight: OR: 0.81; 95 CI, 0.57-1.14), mechanical ventilation (underweight: OR: 0.92; 95% CI, 0.52-1.62 and excess weight: OR: 0.90; 95% CI, 0.67-1.19), and death (underweight: OR: 0.61; 95% CI, 0.31-1.20 and excess body weight: OR 0.88; 95% CI, 0.63-1.23).
Being underweight and excess body weight were not independently associated with clinical outcomes in patients with COVID-19 in the herein analyzed cohort. This finding indicates that the association between these variables may be confounded by both age and comorbidities.</abstract><cop>United States</cop><pub>Elsevier Limited</pub><pmid>35660497</pmid><doi>10.1016/j.nut.2022.111677</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3286-0297</orcidid><orcidid>https://orcid.org/0000-0002-4663-4936</orcidid><orcidid>https://orcid.org/0000-0002-2180-6754</orcidid><orcidid>https://orcid.org/0000-0002-7168-9605</orcidid><orcidid>https://orcid.org/0000-0001-8073-0086</orcidid><orcidid>https://orcid.org/0000-0003-2002-9292</orcidid><orcidid>https://orcid.org/0000-0002-7625-2162</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-9007 |
ispartof | Nutrition (Burbank, Los Angeles County, Calif.), 2022-09, Vol.101, p.111677-111677, Article 111677 |
issn | 0899-9007 1873-1244 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8975608 |
source | MEDLINE; Elsevier ScienceDirect Journals; ProQuest Central UK/Ireland |
subjects | Age groups Aged Applied Nutritional Investigation Body composition Body Mass Index Body weight Cardiovascular diseases Chronic illnesses Chronic obstructive pulmonary disease Clinical outcomes Cohort Studies Comorbidity Confidence intervals Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - therapy COVID-19 Testing Death Diabetes Diagnosis Emergency medical care Health care Hospitalization Hospitals Humans Hypertension Infections Laboratories Mechanical ventilation Medical records Medical research Mortality Nutrition Older people Overweight Patients Population Regression analysis Regression models Respiratory diseases SARS-CoV-2 Severe acute respiratory syndrome Severe acute respiratory syndrome-related coronavirus Statistical analysis Thinness - complications Thinness - epidemiology Underweight Ventilation Viral diseases Viral infections Weight control Weight Gain |
title | Association between being underweight and excess body weight before SARS coronavirus type 2 infection and clinical outcomes of coronavirus disease 2019: Multicenter study |
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