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Social class based on occupation is associated with hospitalization for A(H1N1)pdm09 infection. Comparison between hospitalized and ambulatory cases.

Identifieur interne : 000129 ( Main/Exploration ); précédent : 000128; suivant : 000130

Social class based on occupation is associated with hospitalization for A(H1N1)pdm09 infection. Comparison between hospitalized and ambulatory cases.

Auteurs : J. Pujol [Espagne] ; P. Godoy [Espagne] ; N. Soldevila [Espagne] ; J. Castilla [Espagne] ; F. González-Candelas [Espagne] ; J M Mayoral [Espagne] ; J. Astray [Espagne] ; S. Garcia [Espagne] ; V. Martin [Espagne] ; S. Tamames [Espagne] ; M. Delgado [Espagne] ; A. Domínguez [Espagne]

Source :

RBID : pubmed:26271901

Descripteurs français

English descriptors

Abstract

This study aimed to analyse the existence of an association between social class (categorized by type of occupation) and the occurrence of A(H1N1)pmd09 infection and hospitalization for two seasons (2009-2010 and 2010-2011). This multicentre study compared ambulatory A(H1N1)pmd09 confirmed cases with ambulatory controls to measure risk of infection, and with hospitalized A(H1N1)pmd09 confirmed cases to asses hospitalization risk. Study variables were: age, marital status, tobacco and alcohol use, pregnancy, chronic obstructive pulmonary disease, chronic respiratory failure, cardiovascular disease, diabetes, chronic liver disease, body mass index >40, systemic corticosteroid treatment and influenza vaccination status. Occupation was registered literally and coded into manual and non-manual worker occupational social class groups. A conditional logistic regression analysis was performed. There were 720 hospitalized cases, 996 ambulatory cases and 1062 ambulatory controls included in the study. No relationship between occupational social class and A(H1N1)pmd09 infection was found [adjusted odds ratio (aOR) 0·97, 95% confidence interval (CI) 0·74-1·27], but an association (aOR 1·53, 95% CI 1·01-2·31) between occupational class and hospitalization for A(H1N1)pmd09 was observed. Influenza vaccination was a protective factor for A(H1N1)pmd09 infection (aOR 0·41, 95% CI 0·23-0·73) but not for hospitalization. We conclude that manual workers have the highest risk of hospitalization when infected by influenza than other occupations but they do not have a different probability of being infected by influenza.

DOI: 10.1017/S0950268815001892
PubMed: 26271901


Affiliations:


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Le document en format XML

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<nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</nlm:affiliation>
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<nlm:affiliation>Unidad de Investigación,Hospital Galdakao-Usansolo,Bizkaia,REDISSEC,Spain.</nlm:affiliation>
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<name sortKey="Martin, V" sort="Martin, V" uniqKey="Martin V" first="V" last="Martin">V. Martin</name>
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<nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</nlm:affiliation>
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<name sortKey="Delgado, M" sort="Delgado, M" uniqKey="Delgado M" first="M" last="Delgado">M. Delgado</name>
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<nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</nlm:affiliation>
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<term>Adolescent (MeSH)</term>
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<term>Aged, 80 and over (MeSH)</term>
<term>Female (MeSH)</term>
<term>Hospitalization (statistics & numerical data)</term>
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<term>Influenza A Virus, H1N1 Subtype (physiology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (virology)</term>
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<term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Classe sociale (MeSH)</term>
<term>Espagne (épidémiologie)</term>
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<term>Femelle (MeSH)</term>
<term>Grippe humaine (virologie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Hospitalisation (statistiques et données numériques)</term>
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<term>Sous-type H1N1 du virus de la grippe A (physiologie)</term>
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<term>Sous-type H1N1 du virus de la grippe A</term>
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<term>Influenza A Virus, H1N1 Subtype</term>
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<term>Hospitalization</term>
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<term>Hospitalisation</term>
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<term>Grippe humaine</term>
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<term>Influenza, Human</term>
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<term>Espagne</term>
<term>Grippe humaine</term>
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<term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Female</term>
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<term>Prevalence</term>
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<div type="abstract" xml:lang="en">This study aimed to analyse the existence of an association between social class (categorized by type of occupation) and the occurrence of A(H1N1)pmd09 infection and hospitalization for two seasons (2009-2010 and 2010-2011). This multicentre study compared ambulatory A(H1N1)pmd09 confirmed cases with ambulatory controls to measure risk of infection, and with hospitalized A(H1N1)pmd09 confirmed cases to asses hospitalization risk. Study variables were: age, marital status, tobacco and alcohol use, pregnancy, chronic obstructive pulmonary disease, chronic respiratory failure, cardiovascular disease, diabetes, chronic liver disease, body mass index >40, systemic corticosteroid treatment and influenza vaccination status. Occupation was registered literally and coded into manual and non-manual worker occupational social class groups. A conditional logistic regression analysis was performed. There were 720 hospitalized cases, 996 ambulatory cases and 1062 ambulatory controls included in the study. No relationship between occupational social class and A(H1N1)pmd09 infection was found [adjusted odds ratio (aOR) 0·97, 95% confidence interval (CI) 0·74-1·27], but an association (aOR 1·53, 95% CI 1·01-2·31) between occupational class and hospitalization for A(H1N1)pmd09 was observed. Influenza vaccination was a protective factor for A(H1N1)pmd09 infection (aOR 0·41, 95% CI 0·23-0·73) but not for hospitalization. We conclude that manual workers have the highest risk of hospitalization when infected by influenza than other occupations but they do not have a different probability of being infected by influenza. </div>
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<DateCompleted>
<Year>2016</Year>
<Month>06</Month>
<Day>02</Day>
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<Year>2016</Year>
<Month>02</Month>
<Day>02</Day>
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<JournalIssue CitedMedium="Internet">
<Volume>144</Volume>
<Issue>4</Issue>
<PubDate>
<Year>2016</Year>
<Month>Mar</Month>
</PubDate>
</JournalIssue>
<Title>Epidemiology and infection</Title>
<ISOAbbreviation>Epidemiol. Infect.</ISOAbbreviation>
</Journal>
<ArticleTitle>Social class based on occupation is associated with hospitalization for A(H1N1)pdm09 infection. Comparison between hospitalized and ambulatory cases.</ArticleTitle>
<Pagination>
<MedlinePgn>732-40</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1017/S0950268815001892</ELocationID>
<Abstract>
<AbstractText>This study aimed to analyse the existence of an association between social class (categorized by type of occupation) and the occurrence of A(H1N1)pmd09 infection and hospitalization for two seasons (2009-2010 and 2010-2011). This multicentre study compared ambulatory A(H1N1)pmd09 confirmed cases with ambulatory controls to measure risk of infection, and with hospitalized A(H1N1)pmd09 confirmed cases to asses hospitalization risk. Study variables were: age, marital status, tobacco and alcohol use, pregnancy, chronic obstructive pulmonary disease, chronic respiratory failure, cardiovascular disease, diabetes, chronic liver disease, body mass index >40, systemic corticosteroid treatment and influenza vaccination status. Occupation was registered literally and coded into manual and non-manual worker occupational social class groups. A conditional logistic regression analysis was performed. There were 720 hospitalized cases, 996 ambulatory cases and 1062 ambulatory controls included in the study. No relationship between occupational social class and A(H1N1)pmd09 infection was found [adjusted odds ratio (aOR) 0·97, 95% confidence interval (CI) 0·74-1·27], but an association (aOR 1·53, 95% CI 1·01-2·31) between occupational class and hospitalization for A(H1N1)pmd09 was observed. Influenza vaccination was a protective factor for A(H1N1)pmd09 infection (aOR 0·41, 95% CI 0·23-0·73) but not for hospitalization. We conclude that manual workers have the highest risk of hospitalization when infected by influenza than other occupations but they do not have a different probability of being infected by influenza. </AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Pujol</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Universitat de Lleida,Departament de Cirurgia,Lleida,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Godoy</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
<AffiliationInfo>
<Affiliation>Universitat de Lleida,Departament de Cirurgia,Lleida,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Soldevila</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Castilla</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>González-Candelas</LastName>
<ForeName>F</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-0879-5798</Identifier>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Mayoral</LastName>
<ForeName>J M</ForeName>
<Initials>JM</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Astray</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Garcia</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Unidad de Investigación,Hospital Galdakao-Usansolo,Bizkaia,REDISSEC,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Martin</LastName>
<ForeName>V</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Tamames</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Delgado</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP),Madrid,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Domínguez</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Departament de Salut Pública,Universitat de Barcelona,Barcelona,Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<CollectiveName>CIBERESP Cases and Controls in Pandemic Influenza Working Group</CollectiveName>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2015</Year>
<Month>08</Month>
<Day>14</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Epidemiol Infect</MedlineTA>
<NlmUniqueID>8703737</NlmUniqueID>
<ISSNLinking>0950-2688</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006760" MajorTopicYN="Y">Hospitalization</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D009790" MajorTopicYN="Y">Occupations</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012923" MajorTopicYN="Y">Social Class</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Influenza A</Keyword>
<Keyword MajorTopicYN="N">outbreaks</Keyword>
<Keyword MajorTopicYN="N">public health</Keyword>
<Keyword MajorTopicYN="N">public health emerging infections</Keyword>
<Keyword MajorTopicYN="N">vaccination (immunization)</Keyword>
</KeywordList>
<InvestigatorList>
<Investigator ValidYN="Y">
<LastName>Azor</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Carrillo</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Moyano</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Navarro</LastName>
<ForeName>J A</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Vázquez</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Zafra</LastName>
<ForeName>F</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Bueno</LastName>
<ForeName>M A</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Delgado</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Gómez</LastName>
<ForeName>M L</ForeName>
<Initials>M</Initials>
</Investigator>
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</Investigator>
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<ForeName>B</ForeName>
<Initials>B</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Quesada</LastName>
<ForeName>J P</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Sillero</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
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<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Fernández-Crehuet</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>del Diego Salas</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Fuentes</LastName>
<ForeName>V</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Gallardo</LastName>
<ForeName>V</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Pérez</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
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<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>J R</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Morillo</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>I Pedrosa</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Bautista</LastName>
<ForeName>M F</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>J M</ForeName>
<Initials>J</Initials>
</Investigator>
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<ForeName>M</ForeName>
<Initials>M</Initials>
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<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>M J</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>M C</ForeName>
<Initials>M</Initials>
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<ForeName>M</ForeName>
<Initials>M</Initials>
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<Initials>M</Initials>
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<Initials>J</Initials>
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<Initials>A</Initials>
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<ForeName>R Ortiz</ForeName>
<Initials>R</Initials>
</Investigator>
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<ForeName>J</ForeName>
<Initials>J</Initials>
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<Initials>A</Initials>
</Investigator>
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<Initials>J</Initials>
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<Initials>A</Initials>
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<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
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<ForeName>A</ForeName>
<Initials>A</Initials>
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<Initials>F</Initials>
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<Initials>L</Initials>
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<Initials>X</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
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<ForeName>V</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<Initials>M</Initials>
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<Initials>I</Initials>
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<Initials>J</Initials>
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<ForeName>O</ForeName>
<Initials>O</Initials>
</Investigator>
<Investigator ValidYN="Y">
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</Investigator>
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<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<Initials>T</Initials>
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<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Galán</LastName>
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<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Robustillo</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y">
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<Initials>M</Initials>
</Investigator>
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<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
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<ForeName>F</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Barquero</LastName>
<ForeName>M García</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>García</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Génova</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Gil</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Jiménez</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Lopaz</LastName>
<ForeName>M A</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>López</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Martín</LastName>
<ForeName>F</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Martínez</LastName>
<ForeName>M L</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Ordobás</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y">
<LastName>Rodriguez</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
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<region>
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<name sortKey="Mayoral, J M" sort="Mayoral, J M" uniqKey="Mayoral J" first="J M" last="Mayoral">J M Mayoral</name>
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<name sortKey="Tamames, S" sort="Tamames, S" uniqKey="Tamames S" first="S" last="Tamames">S. Tamames</name>
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</record>

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