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
Hauptverfasser: 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
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container_title Nutrition (Burbank, Los Angeles County, Calif.)
container_volume 101
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 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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 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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career &amp; Technical 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(Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; 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 &amp; 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>
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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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