Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis
The coronavirus disease 2019 (COVID-19) epidemic is spreading globally. Studies revealed that obesity may affect the progression and prognosis of COVID-19 patients. The aim of the meta-analysis is to identify the prevalence and impact of obesity on COVID-19. Studies on obese COVID-19 patients were o...
Gespeichert in:
Veröffentlicht in: | Epidemiology and infection 2021-01, Vol.149, p.e144, Article e144 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | e144 |
container_title | Epidemiology and infection |
container_volume | 149 |
creator | Deng, Linyan Zhang, Jiaoyue Wang, Mengyuan Chen, Lulu |
description | The coronavirus disease 2019 (COVID-19) epidemic is spreading globally. Studies revealed that obesity may affect the progression and prognosis of COVID-19 patients. The aim of the meta-analysis is to identify the prevalence and impact of obesity on COVID-19. Studies on obese COVID-19 patients were obtained by searching PubMed, Cochrane Library databases and Web of Science databases, up to date to 5 June 2020. And the prevalence rate and the odds ratio (OR) of obesity with 95% confidence interval (CI) were used as comprehensive indicators for analysis using a random-effects model. A total of 6081 patients in 11 studies were included. The prevalence of obesity in patients with COVID-19 was 30% (95% CI 21–39%). Obese patients were 1.79 times more likely to develop severe COVID-19 than non-obese patients (OR 1.79, 95% CI 1.52–2.11, P < 0.0001, I2 = 0%). However obesity was not associated with death in COVID-19 patients (OR 1.05, 95% CI 0.65–1.71, P = 0.84, I2 = 66.6%). In dose−response analysis, it was estimated that COVID-19 patients had a 16% increased risk of invasive mechanical ventilation (OR 1.16, 95% CI 1.10–1.23, P < 0.0001) and a 20% increased risk of admission to ICU (OR 1.20, 95% CI 1.11–1.30, P < 0.0001) per 5 kg/m2 increase in BMI. In conclusion, obesity in COVID-19 patients is associated with severity, but not mortality. |
doi_str_mv | 10.1017/S0950268820003179 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8245341</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0950268820003179</cupid><sourcerecordid>2475401835</sourcerecordid><originalsourceid>FETCH-LOGICAL-c471t-2b8578eb341b1bfd1be652cdcd1688d8aec3bfad78e166c763a92f1f59791a473</originalsourceid><addsrcrecordid>eNp1kctu1DAUhi0EotPCA7BBltiwCfiWOGaBVE0LrVRpFlwkVpYdn3RcJfFgO0XzBl3ziDwJHnVabmJ1Fv93_nP5EXpGyStKqHz9gaiasKZtGSGEU6keoAUVjaqEIOohWuzkaqcfoMOUrgqkWCsfowPOuZK1YAv0ZWUh-bzFPmGTUui8yeDwN5_XOME1RMDL1efzk4oqbOeMp5CxA5PXb7DBLiT4cfM9QtqEKQEeIZvKTGbYJp-eoEe9GRI83dcj9Ond6cflWXWxen--PL6oOiFprphta9mC5YJaantHLTQ161znaFnctQY6bnvjCkObppMNN4r1tK-VVNQIyY_Q21vfzWxHcB1MOZpBb6IfTdzqYLz-U5n8Wl-Ga90yUZepxeDl3iCGrzOkrEefOhgGM0GYk2aivIrQltcFffEXehXmWA4uVC14-S6vd4b0lupiSClCf78MJXoXnP4nuNLz_Pcr7jvukioA35ua0UbvLuHX7P_b_gQoxKOx</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2543928351</pqid></control><display><type>article</type><title>Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis</title><source>MEDLINE</source><source>Cambridge Journals Open Access</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central</source><creator>Deng, Linyan ; Zhang, Jiaoyue ; Wang, Mengyuan ; Chen, Lulu</creator><creatorcontrib>Deng, Linyan ; Zhang, Jiaoyue ; Wang, Mengyuan ; Chen, Lulu</creatorcontrib><description>The coronavirus disease 2019 (COVID-19) epidemic is spreading globally. Studies revealed that obesity may affect the progression and prognosis of COVID-19 patients. The aim of the meta-analysis is to identify the prevalence and impact of obesity on COVID-19. Studies on obese COVID-19 patients were obtained by searching PubMed, Cochrane Library databases and Web of Science databases, up to date to 5 June 2020. And the prevalence rate and the odds ratio (OR) of obesity with 95% confidence interval (CI) were used as comprehensive indicators for analysis using a random-effects model. A total of 6081 patients in 11 studies were included. The prevalence of obesity in patients with COVID-19 was 30% (95% CI 21–39%). Obese patients were 1.79 times more likely to develop severe COVID-19 than non-obese patients (OR 1.79, 95% CI 1.52–2.11, P < 0.0001, I2 = 0%). However obesity was not associated with death in COVID-19 patients (OR 1.05, 95% CI 0.65–1.71, P = 0.84, I2 = 66.6%). In dose−response analysis, it was estimated that COVID-19 patients had a 16% increased risk of invasive mechanical ventilation (OR 1.16, 95% CI 1.10–1.23, P < 0.0001) and a 20% increased risk of admission to ICU (OR 1.20, 95% CI 1.11–1.30, P < 0.0001) per 5 kg/m2 increase in BMI. In conclusion, obesity in COVID-19 patients is associated with severity, but not mortality.</description><identifier>ISSN: 0950-2688</identifier><identifier>ISSN: 1469-4409</identifier><identifier>EISSN: 1469-4409</identifier><identifier>DOI: 10.1017/S0950268820003179</identifier><identifier>PMID: 33397542</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Body Mass Index ; Confidence intervals ; Coronaviruses ; COVID-19 ; COVID-19 - complications ; COVID-19 - epidemiology ; COVID-19 - mortality ; Epidemics ; Hospitalization - statistics & numerical data ; Humans ; Mechanical ventilation ; Meta-analysis ; Mortality ; Obesity ; Obesity - complications ; Obesity - epidemiology ; Original Paper ; Prevalence ; Risk Factors ; Severity of Illness Index ; Viral diseases</subject><ispartof>Epidemiology and infection, 2021-01, Vol.149, p.e144, Article e144</ispartof><rights>Copyright © The Author(s), 2021. Published by Cambridge University Press</rights><rights>Copyright © The Author(s), 2021. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021 2021 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c471t-2b8578eb341b1bfd1be652cdcd1688d8aec3bfad78e166c763a92f1f59791a473</citedby><cites>FETCH-LOGICAL-c471t-2b8578eb341b1bfd1be652cdcd1688d8aec3bfad78e166c763a92f1f59791a473</cites><orcidid>0000-0002-9185-0443</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245341/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0950268820003179/type/journal_article$$EHTML$$P50$$Gcambridge$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,23318,27924,27925,53791,53793,55804</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33397542$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deng, Linyan</creatorcontrib><creatorcontrib>Zhang, Jiaoyue</creatorcontrib><creatorcontrib>Wang, Mengyuan</creatorcontrib><creatorcontrib>Chen, Lulu</creatorcontrib><title>Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis</title><title>Epidemiology and infection</title><addtitle>Epidemiol. Infect</addtitle><description>The coronavirus disease 2019 (COVID-19) epidemic is spreading globally. Studies revealed that obesity may affect the progression and prognosis of COVID-19 patients. The aim of the meta-analysis is to identify the prevalence and impact of obesity on COVID-19. Studies on obese COVID-19 patients were obtained by searching PubMed, Cochrane Library databases and Web of Science databases, up to date to 5 June 2020. And the prevalence rate and the odds ratio (OR) of obesity with 95% confidence interval (CI) were used as comprehensive indicators for analysis using a random-effects model. A total of 6081 patients in 11 studies were included. The prevalence of obesity in patients with COVID-19 was 30% (95% CI 21–39%). Obese patients were 1.79 times more likely to develop severe COVID-19 than non-obese patients (OR 1.79, 95% CI 1.52–2.11, P < 0.0001, I2 = 0%). However obesity was not associated with death in COVID-19 patients (OR 1.05, 95% CI 0.65–1.71, P = 0.84, I2 = 66.6%). In dose−response analysis, it was estimated that COVID-19 patients had a 16% increased risk of invasive mechanical ventilation (OR 1.16, 95% CI 1.10–1.23, P < 0.0001) and a 20% increased risk of admission to ICU (OR 1.20, 95% CI 1.11–1.30, P < 0.0001) per 5 kg/m2 increase in BMI. In conclusion, obesity in COVID-19 patients is associated with severity, but not mortality.</description><subject>Body Mass Index</subject><subject>Confidence intervals</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - mortality</subject><subject>Epidemics</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Mechanical ventilation</subject><subject>Meta-analysis</subject><subject>Mortality</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Obesity - epidemiology</subject><subject>Original Paper</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Viral diseases</subject><issn>0950-2688</issn><issn>1469-4409</issn><issn>1469-4409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>IKXGN</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kctu1DAUhi0EotPCA7BBltiwCfiWOGaBVE0LrVRpFlwkVpYdn3RcJfFgO0XzBl3ziDwJHnVabmJ1Fv93_nP5EXpGyStKqHz9gaiasKZtGSGEU6keoAUVjaqEIOohWuzkaqcfoMOUrgqkWCsfowPOuZK1YAv0ZWUh-bzFPmGTUui8yeDwN5_XOME1RMDL1efzk4oqbOeMp5CxA5PXb7DBLiT4cfM9QtqEKQEeIZvKTGbYJp-eoEe9GRI83dcj9Ond6cflWXWxen--PL6oOiFprphta9mC5YJaantHLTQ161znaFnctQY6bnvjCkObppMNN4r1tK-VVNQIyY_Q21vfzWxHcB1MOZpBb6IfTdzqYLz-U5n8Wl-Ga90yUZepxeDl3iCGrzOkrEefOhgGM0GYk2aivIrQltcFffEXehXmWA4uVC14-S6vd4b0lupiSClCf78MJXoXnP4nuNLz_Pcr7jvukioA35ua0UbvLuHX7P_b_gQoxKOx</recordid><startdate>20210105</startdate><enddate>20210105</enddate><creator>Deng, Linyan</creator><creator>Zhang, Jiaoyue</creator><creator>Wang, Mengyuan</creator><creator>Chen, Lulu</creator><general>Cambridge University Press</general><scope>IKXGN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7T2</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9185-0443</orcidid></search><sort><creationdate>20210105</creationdate><title>Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis</title><author>Deng, Linyan ; Zhang, Jiaoyue ; Wang, Mengyuan ; Chen, Lulu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-2b8578eb341b1bfd1be652cdcd1688d8aec3bfad78e166c763a92f1f59791a473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Body Mass Index</topic><topic>Confidence intervals</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - mortality</topic><topic>Epidemics</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Mechanical ventilation</topic><topic>Meta-analysis</topic><topic>Mortality</topic><topic>Obesity</topic><topic>Obesity - complications</topic><topic>Obesity - epidemiology</topic><topic>Original Paper</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deng, Linyan</creatorcontrib><creatorcontrib>Zhang, Jiaoyue</creatorcontrib><creatorcontrib>Wang, Mengyuan</creatorcontrib><creatorcontrib>Chen, Lulu</creatorcontrib><collection>Cambridge Journals Open Access</collection><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</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 China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Epidemiology and infection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deng, Linyan</au><au>Zhang, Jiaoyue</au><au>Wang, Mengyuan</au><au>Chen, Lulu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis</atitle><jtitle>Epidemiology and infection</jtitle><addtitle>Epidemiol. Infect</addtitle><date>2021-01-05</date><risdate>2021</risdate><volume>149</volume><spage>e144</spage><pages>e144-</pages><artnum>e144</artnum><issn>0950-2688</issn><issn>1469-4409</issn><eissn>1469-4409</eissn><abstract>The coronavirus disease 2019 (COVID-19) epidemic is spreading globally. Studies revealed that obesity may affect the progression and prognosis of COVID-19 patients. The aim of the meta-analysis is to identify the prevalence and impact of obesity on COVID-19. Studies on obese COVID-19 patients were obtained by searching PubMed, Cochrane Library databases and Web of Science databases, up to date to 5 June 2020. And the prevalence rate and the odds ratio (OR) of obesity with 95% confidence interval (CI) were used as comprehensive indicators for analysis using a random-effects model. A total of 6081 patients in 11 studies were included. The prevalence of obesity in patients with COVID-19 was 30% (95% CI 21–39%). Obese patients were 1.79 times more likely to develop severe COVID-19 than non-obese patients (OR 1.79, 95% CI 1.52–2.11, P < 0.0001, I2 = 0%). However obesity was not associated with death in COVID-19 patients (OR 1.05, 95% CI 0.65–1.71, P = 0.84, I2 = 66.6%). In dose−response analysis, it was estimated that COVID-19 patients had a 16% increased risk of invasive mechanical ventilation (OR 1.16, 95% CI 1.10–1.23, P < 0.0001) and a 20% increased risk of admission to ICU (OR 1.20, 95% CI 1.11–1.30, P < 0.0001) per 5 kg/m2 increase in BMI. In conclusion, obesity in COVID-19 patients is associated with severity, but not mortality.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>33397542</pmid><doi>10.1017/S0950268820003179</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-9185-0443</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0950-2688 |
ispartof | Epidemiology and infection, 2021-01, Vol.149, p.e144, Article e144 |
issn | 0950-2688 1469-4409 1469-4409 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8245341 |
source | MEDLINE; Cambridge Journals Open Access; DOAJ Directory of Open Access Journals; PubMed Central |
subjects | Body Mass Index Confidence intervals Coronaviruses COVID-19 COVID-19 - complications COVID-19 - epidemiology COVID-19 - mortality Epidemics Hospitalization - statistics & numerical data Humans Mechanical ventilation Meta-analysis Mortality Obesity Obesity - complications Obesity - epidemiology Original Paper Prevalence Risk Factors Severity of Illness Index Viral diseases |
title | Obesity is associated with severe COVID-19 but not death: a dose−response meta-analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T21%3A18%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Obesity%20is%20associated%20with%20severe%20COVID-19%20but%20not%20death:%20a%20dose%E2%88%92response%20meta-analysis&rft.jtitle=Epidemiology%20and%20infection&rft.au=Deng,%20Linyan&rft.date=2021-01-05&rft.volume=149&rft.spage=e144&rft.pages=e144-&rft.artnum=e144&rft.issn=0950-2688&rft.eissn=1469-4409&rft_id=info:doi/10.1017/S0950268820003179&rft_dat=%3Cproquest_pubme%3E2475401835%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2543928351&rft_id=info:pmid/33397542&rft_cupid=10_1017_S0950268820003179&rfr_iscdi=true |