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<titleStmt>
<title xml:lang="en">Associations between Maternal Antioxidant Intakes in Pregnancy and Infant Allergic Outcomes </title>
<author>
<name sortKey="West, Christina E" sort="West, Christina E" uniqKey="West C" first="Christina E." last="West">Christina E. West</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="af2-nutrients-04-01747">Department of Clinical Sciences, Pediatrics, Umeå University, 901 87 Umeå, Sweden</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Dunstan, Janet" sort="Dunstan, Janet" uniqKey="Dunstan J" first="Janet" last="Dunstan">Janet Dunstan</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mccarthy, Suzi" sort="Mccarthy, Suzi" uniqKey="Mccarthy S" first="Suzi" last="Mccarthy">Suzi Mccarthy</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Metcalfe, Jessica" sort="Metcalfe, Jessica" uniqKey="Metcalfe J" first="Jessica" last="Metcalfe">Jessica Metcalfe</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="D Az, Nina" sort="D Az, Nina" uniqKey="D Az N" first="Nina" last="D Az">Nina D Az</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Meldrum, Suzanne" sort="Meldrum, Suzanne" uniqKey="Meldrum S" first="Suzanne" last="Meldrum">Suzanne Meldrum</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oddy, Wendy H" sort="Oddy, Wendy H" uniqKey="Oddy W" first="Wendy H." last="Oddy">Wendy H. Oddy</name>
<affiliation>
<nlm:aff id="af3-nutrients-04-01747">Centre for Child Health Research, University of Western Australia, Telethon Institute for Child Health Research, Perth, PO Box 855, Perth, WA 6872, Australia; Email:
<email>wendyo@ichr.uwa.edu.au</email>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Tulic, Meri K" sort="Tulic, Meri K" uniqKey="Tulic M" first="Meri K." last="Tulic">Meri K. Tulic</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="af4-nutrients-04-01747">EA 6302 Tolerance Immunitaire, Université de Nice Sophia-Antipolis, 06202 Nice, France</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Prescott, Susan L" sort="Prescott, Susan L" uniqKey="Prescott S" first="Susan L." last="Prescott">Susan L. Prescott</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
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<idno type="doi">10.3390/nu4111747</idno>
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<analytic>
<title xml:lang="en" level="a" type="main">Associations between Maternal Antioxidant Intakes in Pregnancy and Infant Allergic Outcomes </title>
<author>
<name sortKey="West, Christina E" sort="West, Christina E" uniqKey="West C" first="Christina E." last="West">Christina E. West</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="af2-nutrients-04-01747">Department of Clinical Sciences, Pediatrics, Umeå University, 901 87 Umeå, Sweden</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Dunstan, Janet" sort="Dunstan, Janet" uniqKey="Dunstan J" first="Janet" last="Dunstan">Janet Dunstan</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mccarthy, Suzi" sort="Mccarthy, Suzi" uniqKey="Mccarthy S" first="Suzi" last="Mccarthy">Suzi Mccarthy</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Metcalfe, Jessica" sort="Metcalfe, Jessica" uniqKey="Metcalfe J" first="Jessica" last="Metcalfe">Jessica Metcalfe</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="D Az, Nina" sort="D Az, Nina" uniqKey="D Az N" first="Nina" last="D Az">Nina D Az</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Meldrum, Suzanne" sort="Meldrum, Suzanne" uniqKey="Meldrum S" first="Suzanne" last="Meldrum">Suzanne Meldrum</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oddy, Wendy H" sort="Oddy, Wendy H" uniqKey="Oddy W" first="Wendy H." last="Oddy">Wendy H. Oddy</name>
<affiliation>
<nlm:aff id="af3-nutrients-04-01747">Centre for Child Health Research, University of Western Australia, Telethon Institute for Child Health Research, Perth, PO Box 855, Perth, WA 6872, Australia; Email:
<email>wendyo@ichr.uwa.edu.au</email>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Tulic, Meri K" sort="Tulic, Meri K" uniqKey="Tulic M" first="Meri K." last="Tulic">Meri K. Tulic</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="af4-nutrients-04-01747">EA 6302 Tolerance Immunitaire, Université de Nice Sophia-Antipolis, 06202 Nice, France</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Prescott, Susan L" sort="Prescott, Susan L" uniqKey="Prescott S" first="Susan L." last="Prescott">Susan L. Prescott</name>
<affiliation>
<nlm:aff id="af1-nutrients-04-01747">School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Nutrients</title>
<idno type="eISSN">2072-6643</idno>
<imprint>
<date when="2012">2012</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Antioxidant intakes in pregnancy may influence fetal immune programming and the risk of allergic disease. We investigated associations between maternal intakes of β-carotene, vitamin C, vitamin E, copper and zinc, and infant allergic outcomes. Antioxidant intakes of pregnant women (
<italic>n</italic>
= 420) assessed prospectively by a food frequency questionnaire, were examined in relation to allergic outcomes at 1 year of age (
<italic>n</italic>
= 300). The main relationships with allergic outcomes were seen with dietary vitamin C and copper. Specifically, higher maternal dietary vitamin C intake was associated with a reduced risk of any diagnosed infant allergic disease and wheeze. After adjustment for potential confounders the relationship with wheeze remained statistically significant. There was also an inverse linear relationship between vitamin C and food allergy. Higher dietary copper intake was associated with reduced risk of eczema, wheeze and any allergic disease. The relationship with wheeze and any allergic disease remained statistically significant in multivariate analysis, and there was also an inverse linear relationship between copper and food allergy. However, these relationships were only seen for nutrients present in food. There were no relationships between β-carotene, vitamin E or zinc and any allergic outcomes. In summary, this study suggests that maternal diet of fresh foods rich in vitamin C is associated with reduced risk of infant wheeze, and that copper intake is associated with reduced risk of several allergic outcomes. </p>
</div>
</front>
<back>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Nutrients</journal-id>
<journal-id journal-id-type="iso-abbrev">Nutrients</journal-id>
<journal-id journal-id-type="publisher-id">nutrients</journal-id>
<journal-title-group>
<journal-title>Nutrients</journal-title>
</journal-title-group>
<issn pub-type="epub">2072-6643</issn>
<publisher>
<publisher-name>MDPI</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">23201845</article-id>
<article-id pub-id-type="pmc">3509518</article-id>
<article-id pub-id-type="doi">10.3390/nu4111747</article-id>
<article-id pub-id-type="publisher-id">nutrients-04-01747</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Associations between Maternal Antioxidant Intakes in Pregnancy and Infant Allergic Outcomes </article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>West</surname>
<given-names>Christina E.</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
<xref ref-type="aff" rid="af2-nutrients-04-01747">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dunstan</surname>
<given-names>Janet</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McCarthy</surname>
<given-names>Suzi</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Metcalfe</surname>
<given-names>Jessica</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>D’Vaz</surname>
<given-names>Nina</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Meldrum</surname>
<given-names>Suzanne</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oddy</surname>
<given-names>Wendy H.</given-names>
</name>
<xref ref-type="aff" rid="af3-nutrients-04-01747">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tulic</surname>
<given-names>Meri K.</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
<xref ref-type="aff" rid="af4-nutrients-04-01747">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Prescott</surname>
<given-names>Susan L.</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-04-01747">1</xref>
<xref rid="c1-nutrients-04-01747" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="af1-nutrients-04-01747">
<label>1</label>
School of Paediatrics and Child Health Research, University of Western Australia, PO Box D184, Princess Margaret Hospital, Perth WA 6001, Australia; Email:
<email>christina.west@pediatri.umu.se</email>
(C.E.W.);
<email>dunstan.jan@gmail.com</email>
(J.D.);
<email>suzi.mccarthy@health.wa.gov.au</email>
(S.M.);
<email>jmetcalfe@meddent.uwa.edu.au</email>
(J.M.);
<email>ndvaz@meddent.uwa.edu.au</email>
(N.D.);
<email>smeldrum@meddent.uwa.edu.au</email>
(S.M.);
<email>mtulic@meddent.uwa.edu.au</email>
(M.K.T.)</aff>
<aff id="af2-nutrients-04-01747">
<label>2</label>
Department of Clinical Sciences, Pediatrics, Umeå University, 901 87 Umeå, Sweden</aff>
<aff id="af3-nutrients-04-01747">
<label>3</label>
Centre for Child Health Research, University of Western Australia, Telethon Institute for Child Health Research, Perth, PO Box 855, Perth, WA 6872, Australia; Email:
<email>wendyo@ichr.uwa.edu.au</email>
</aff>
<aff id="af4-nutrients-04-01747">
<label>4</label>
EA 6302 Tolerance Immunitaire, Université de Nice Sophia-Antipolis, 06202 Nice, France</aff>
<author-notes>
<corresp id="c1-nutrients-04-01747">
<label>*</label>
Author to whom correspondence should be addressed; Email:
<email>susan.prescott@uwa.edu.au</email>
; Tel.: +61-8-9340-8171; Fax: +61-8-9388-2097.</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="collection">
<month>11</month>
<year>2012</year>
</pub-date>
<volume>4</volume>
<issue>11</issue>
<fpage>1747</fpage>
<lpage>1758</lpage>
<history>
<date date-type="received">
<day>17</day>
<month>9</month>
<year>2012</year>
</date>
<date date-type="rev-recd">
<day>07</day>
<month>11</month>
<year>2012</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>11</month>
<year>2012</year>
</date>
</history>
<permissions>
<copyright-statement>© 2012 by the authors; licensee MDPI, Basel, Switzerland.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/">
<license-p>This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (
<uri xlink:type="simple" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</uri>
).</license-p>
</license>
</permissions>
<abstract>
<p>Antioxidant intakes in pregnancy may influence fetal immune programming and the risk of allergic disease. We investigated associations between maternal intakes of β-carotene, vitamin C, vitamin E, copper and zinc, and infant allergic outcomes. Antioxidant intakes of pregnant women (
<italic>n</italic>
= 420) assessed prospectively by a food frequency questionnaire, were examined in relation to allergic outcomes at 1 year of age (
<italic>n</italic>
= 300). The main relationships with allergic outcomes were seen with dietary vitamin C and copper. Specifically, higher maternal dietary vitamin C intake was associated with a reduced risk of any diagnosed infant allergic disease and wheeze. After adjustment for potential confounders the relationship with wheeze remained statistically significant. There was also an inverse linear relationship between vitamin C and food allergy. Higher dietary copper intake was associated with reduced risk of eczema, wheeze and any allergic disease. The relationship with wheeze and any allergic disease remained statistically significant in multivariate analysis, and there was also an inverse linear relationship between copper and food allergy. However, these relationships were only seen for nutrients present in food. There were no relationships between β-carotene, vitamin E or zinc and any allergic outcomes. In summary, this study suggests that maternal diet of fresh foods rich in vitamin C is associated with reduced risk of infant wheeze, and that copper intake is associated with reduced risk of several allergic outcomes. </p>
</abstract>
<kwd-group>
<kwd>allergy</kwd>
<kwd>allergic disease</kwd>
<kwd>antioxidant</kwd>
<kwd>childhood</kwd>
<kwd>copper</kwd>
<kwd>diet</kwd>
<kwd>dietary intake</kwd>
<kwd>eczema</kwd>
<kwd>pregnancy</kwd>
<kwd>vitamin C</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>1. Introduction</title>
<p>Maternal dietary changes in pregnancy are one of the key environmental factors implicated in the allergy epidemic [
<xref ref-type="bibr" rid="B1-nutrients-04-01747">1</xref>
]. Eczema and food allergy are often evident within the first months of life, which highlights the need to investigate the role of early life exposures. As a supply of all nutrients, maternal diet has significant potential to modify the success or failure of immune tolerance and consequently the development of allergic disease in the offspring [
<xref ref-type="bibr" rid="B2-nutrients-04-01747">2</xref>
]. Modern, urbanized diets differ in many respects from more traditional diets, with more complex, processed and synthetic foods and less fresh fish, fruits and vegetables. As a consequence, there has been a decline in the intake of many nutrients, including some antioxidants. Declining antioxidant intake is one of a number of dietary changes associated with the steep increase in allergic disease [
<xref ref-type="bibr" rid="B3-nutrients-04-01747">3</xref>
]. Earlier epidemiological studies suggested an association between lower intakes of antioxidant rich foods (such as fresh fruits and vegetables) with deficit effects on lung function [
<xref ref-type="bibr" rid="B4-nutrients-04-01747">4</xref>
] and increased risk of childhood wheeze [
<xref ref-type="bibr" rid="B5-nutrients-04-01747">5</xref>
,
<xref ref-type="bibr" rid="B6-nutrients-04-01747">6</xref>
]. Consequently, it has been hypothesized that these epidemiological associations may reflect a protective effect of antioxidant rich diets in the development of asthma [
<xref ref-type="bibr" rid="B7-nutrients-04-01747">7</xref>
].</p>
<p>More recently, dietary antioxidants have been implicated in the developmental context of fetal and infant immune programming with consequences for development of allergic disease [
<xref ref-type="bibr" rid="B8-nutrients-04-01747">8</xref>
]. A limited number of birth cohort studies have suggested beneficial associations between higher maternal intakes of antioxidants such as vitamin E [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
,
<xref ref-type="bibr" rid="B10-nutrients-04-01747">10</xref>
,
<xref ref-type="bibr" rid="B11-nutrients-04-01747">11</xref>
] and zinc [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
] and the development of early childhood wheeze, and asthma [
<xref ref-type="bibr" rid="B12-nutrients-04-01747">12</xref>
]. Few studies have investigated the effects of maternal antioxidant intakes and the development of other allergic manifestations than wheeze or asthma [
<xref ref-type="bibr" rid="B10-nutrients-04-01747">10</xref>
,
<xref ref-type="bibr" rid="B11-nutrients-04-01747">11</xref>
,
<xref ref-type="bibr" rid="B13-nutrients-04-01747">13</xref>
] and none has specifically targeted a population at high risk of developing allergic disease.</p>
<p>Therefore, the aim of this study was to prospectively assess the effects of maternal intakes of selected antioxidants (β-carotene, vitamin C, vitamin E, copper and zinc) in pregnancy on early infant allergic outcomes, namely eczema, Immunoglobulin E (IgE)-mediated food allergy, allergic sensitisation and wheeze in a population at high risk of developing allergic disease based on familial association.</p>
</sec>
<sec>
<title>2. Experimental Section</title>
<sec>
<title>2.1. Overall Study Design</title>
<p>We included 450 mother-infant pairs from a pregnancy cohort, recruited in Perth, Western Australia from 2005 to 2008. The design of this study has previously been described in detail [
<xref ref-type="bibr" rid="B14-nutrients-04-01747">14</xref>
]. Briefly, 450 pregnant women with a family history of allergic rhinitis, asthma, eczema, food or other allergy were recruited to participate in a postnatal infant dietary intervention study. This cohort also offered the opportunity to examine the effect of maternal diet in pregnancy (
<italic>i.e.</italic>
,
<italic>prior</italic>
to the intervention) on infant clinical outcomes after adjusting for potential confounding factors including the intervention. Briefly, the postnatal randomised trial involved allocation to either 650 mg of fish oil (containing 280 mg docosahexaenoic acid and 110 mg eicosapentaenoic acid) or placebo (olive oil) for the first six months of life. Women were ineligible if they were smokers, had pre-existing medical conditions other than allergy, pregnancy complications, delivered pre-term (gestation <36 weeks), ate >3 meals of fish per week or used fish oil supplementation >1000 mg/day during pregnancy. The study was approved by the Princess Margaret Hospital Research Ethics Committee and the participants provided written informed consent. The study was registered at the Australian New Zealand Trials Registry; ACTRN12606000281594. Data from a semi-quantitative food frequency questionnaire (SQFFQ) completed at the last trimester of pregnancy (after 28 weeks gestation) and infant clinical outcome measures at 12 months were available in 144 and 156 mother-infant pairs from the fish oil and placebo groups, respectively (
<italic>p</italic>
> 0.05). Thus, 300 mother-infant pairs were available for the purpose of this study. </p>
<p>As discussed elsewhere, infant fish oil supplementation had no effect on the clinical outcome measures, neither in the whole study population [
<xref ref-type="bibr" rid="B14-nutrients-04-01747">14</xref>
] nor in the 300 mother-infant pairs available for the purpose of this study. </p>
</sec>
<sec>
<title>2.2. Demographic Characteristics and Dietary Assessment</title>
<p>Parental demographic information and health history information were collected by an interview and a questionnaire at the recruitment visit. Data on infant characteristics and health history were collected from detailed questions on the 12 month questionnaire [
<xref ref-type="bibr" rid="B14-nutrients-04-01747">14</xref>
]. </p>
<p>The semi-quantitative food frequency questionnaire (SQFFQ) was administered to all pregnant mothers at the recruitment visit. The SQFFQ was developed and analysed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Adelaide, Australia. It provides information on the reported frequency of 212 individual foods, mixed foods and beverages over the preceding month. Reported vitamin and mineral supplement intakes (brand, dose and frequency) was converted into daily β-carotene, vitamin C, E, zinc and copper intakes, using dosage information provided at the packaging.</p>
</sec>
<sec>
<title>2.3. Maternal Allergy Classifications</title>
<p>Maternal allergy was defined as a history of doctor diagnosed allergy (including asthma, allergic rhinitis, eczema, food or other allergy) [
<xref ref-type="bibr" rid="B14-nutrients-04-01747">14</xref>
]. Maternal atopy was defined as a positive skin prick test (SPT) performed at the recruitment visit to at least one allergen (dog, cat, rye, feathers, house dust mite, southern grasses, mold or cockroach; Hollister-Stier Laboratories, Spokane, WA, USA). A wheal diameter of 3 mm was considered positive.</p>
</sec>
<sec>
<title>2.4. Infant Allergic Outcomes at 12 Months of Age</title>
<p>The main clinical outcome measures were the prevalence of eczema, IgE-mediated food allergy, and allergic sensitisation. Infants were clinically evaluated at 12 months of age, which included a detailed history and examination. A diagnosis of eczema was made in infants with typical skin lesions responsive to topical steroids. The severity of eczema was determined using the severity score of atopic dermatitis (SCORAD) index as previously described [
<xref ref-type="bibr" rid="B15-nutrients-04-01747">15</xref>
]. IgE-mediated food allergy was defined as a history of immediate (within 60 min) symptoms after contact with and/or ingestion and a positive SPT to the offending food. Symptoms of acute food allergy included skin reactions (hives, rash or swelling) and/or respiratory symptoms (cough, wheeze, stridor) and/or gastrointestinal symptoms (abdominal pain, vomiting, loose stools) and/or cardiovascular symptoms (collapse). Information was also collected on respiratory symptoms, although the limitations of this data at this early age are well recognized. Asthma was defined as physician diagnosed asthma. If the infant had a diagnosis of eczema, IgE-mediated food allergy (as described above) or asthma they were classified as having allergic disease.</p>
<p>Infants had an SPT at 12 months of age using common allergen extracts (milk, egg, peanut, rye, house dust mite, cat, grass, mold; Hollister-Stier Laboratories, Spokane, WA, USA) and whole egg, as well as histamine as a positive control and glycerine as a negative control. A wheal diameter of ≥2 mm was considered positive. Allergic sensitisation was defined as at least one positive SPT performed at the 12 months visit to at least one allergen.</p>
</sec>
<sec>
<title>2.5. Statistical Analysis</title>
<p>Intakes of dietary antioxidants were energy-adjusted according to the nutrient residual method [
<xref ref-type="bibr" rid="B16-nutrients-04-01747">16</xref>
] and divided into quartiles based on the distribution of the nutrient residuals in 300 subjects. Further, to take into account the total intake of the antioxidant in question, intakes from foods plus vitamin and mineral supplementation were added, energy-adjusted and divided into quartiles based on their distribution. Logistic regression analysis was applied to estimate the crude odds ratios and their 95% confidence intervals of eczema, food allergy, wheeze, sensitisation and diagnosis of any allergic disease with the lowest quartile as a reference when we assessed both dietary and total antioxidant intakes.</p>
<p>We performed bivariate analyses to determine the non-nutrient characteristics associated with the clinical outcomes by using logistic regression. Variables that were significantly associated with any of these outcomes were included in the multivariate analyses. We identified maternal parity (number of previous deliveries), paternal family history of allergic disease (yes/no), delivery mode (labour or non-labour), birth weight and exposure to furred pets (yes/no) as variables to be included in multiple logistic regression analysis. As noted above, the postnatal intervention did not have a significant effect on allergic outcomes, and did not alter the findings of the present study when included in the analysis as a dichotomous variable (intervention/no intervention). Differences were regarded as significant at the level
<italic>p</italic>
< 0.05. Statistical analyses were performed using SPSS software version 17.0 for Windows [
<xref ref-type="bibr" rid="B17-nutrients-04-01747">17</xref>
].</p>
</sec>
</sec>
<sec>
<title>3. Results</title>
<sec>
<title>3.1. Population Characteristics</title>
<p>The demographic characteristics of the 300 mother-infant pairs with data on both dietary intakes in pregnancy and infant clinical outcome measures at 12 months of age are displayed in
<xref ref-type="table" rid="nutrients-04-01747-t001">Table 1</xref>
. In the majority of pregnant women dietary intakes of antioxidants well met the recommended daily intake (RDI) except for vitamin E and zinc (
<xref ref-type="table" rid="nutrients-04-01747-t002">Table 2</xref>
) [
<xref ref-type="bibr" rid="B18-nutrients-04-01747">18</xref>
]. Infant allergic outcomes are displayed in
<xref ref-type="table" rid="nutrients-04-01747-t003">Table 3</xref>
. There was no difference in the prevalence of any of the clinical outcome measures at 12 months of age between the fish oil and placebo groups (data not shown).</p>
<table-wrap id="nutrients-04-01747-t001" position="float">
<object-id pub-id-type="pii">nutrients-04-01747-t001_Table 1</object-id>
<label>Table 1</label>
<caption>
<p>Population characteristics of 300 mother-infant pairs. </p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle" rowspan="1" colspan="1">Characteristics</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Number analyzed</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Mean (S.D.) or
<italic>n</italic>
(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>Mothers at recruitment</italic>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal age (years)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">33.5 (1.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Gestation at recruitment (weeks)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">36.6 (1.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Completed 12 years of education</td>
<td align="center" valign="middle" rowspan="1" colspan="1">248</td>
<td align="center" valign="middle" rowspan="1" colspan="1">224 (90.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal history of asthma</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">153 (51.0)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal history of eczema</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">125 (41.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal history of allergic rhinitis</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">223 (74.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal history of food allergy</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">66 (22.0)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Maternal sensitisation at recruitment</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">290 (96.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Vitamin and/or mineral supplementation</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">273 (91.0)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>Paternal characteristics</italic>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Paternal age (years)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">35.9 (5.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Completed 12 years of education</td>
<td align="center" valign="middle" rowspan="1" colspan="1">241</td>
<td align="center" valign="middle" rowspan="1" colspan="1">196 (81.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Paternal history of asthma</td>
<td align="center" valign="middle" rowspan="1" colspan="1">296</td>
<td align="center" valign="middle" rowspan="1" colspan="1">58 (19.6)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Paternal history of eczema</td>
<td align="center" valign="middle" rowspan="1" colspan="1">296</td>
<td align="center" valign="middle" rowspan="1" colspan="1">51 (17.2)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Paternal history of allergic rhinitis</td>
<td align="center" valign="middle" rowspan="1" colspan="1">296</td>
<td align="center" valign="middle" rowspan="1" colspan="1">117 (39.5)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Paternal history of food allergy</td>
<td align="center" valign="middle" rowspan="1" colspan="1">296</td>
<td align="center" valign="middle" rowspan="1" colspan="1">28 (9.5)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>Environmental exposures</italic>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Partner smokes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">299</td>
<td align="center" valign="middle" rowspan="1" colspan="1">30 (10.0)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Pets in the house</td>
<td align="center" valign="middle" rowspan="1" colspan="1">298</td>
<td align="center" valign="middle" rowspan="1" colspan="1">184 (61.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>Infant characteristics</italic>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Infant sex (% male)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">160 (53.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Infant birth weight (g)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">298</td>
<td align="center" valign="middle" rowspan="1" colspan="1">3484 (427)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Infant birth length (cm)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">297</td>
<td align="center" valign="middle" rowspan="1" colspan="1">50.5 (2.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Labour</td>
<td align="center" valign="middle" rowspan="1" colspan="1">297</td>
<td align="center" valign="middle" rowspan="1" colspan="1">218 (73.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Caesarean delivery (planned/emergency)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">297</td>
<td align="center" valign="middle" rowspan="1" colspan="1">115 (38.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Gestational age (weeks)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">39.3 (1.2)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Season when infant was born</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">January–March</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">79 (26.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">April–June</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">83 (27.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">July–September</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">86 (28.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">October–December</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">52 (17.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Older siblings (% 1 or more)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">158 (52.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Ever breastfed</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">292 (97.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Ever formula-fed</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">239 (79.7)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Introduction of solid foods (months)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">299</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5.6 (0.9)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>Infants at 1 year</italic>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Still breastfed</td>
<td align="center" valign="middle" rowspan="1" colspan="1">299</td>
<td align="center" valign="middle" rowspan="1" colspan="1">107 (35.8)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Attending day-care or playgroup</td>
<td align="center" valign="middle" rowspan="1" colspan="1">292</td>
<td align="center" valign="middle" rowspan="1" colspan="1">240 (82.2)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-04-01747-t002" position="float">
<object-id pub-id-type="pii">nutrients-04-01747-t002_Table 2</object-id>
<label>Table 2</label>
<caption>
<p>Distribution of daily maternal dietary and total intakes of antioxidants in pregnancy.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle" rowspan="1" colspan="1">Variable</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Mean (S.D.)</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Median (25th–75th percentile)</th>
<th align="center" valign="middle" rowspan="1" colspan="1">RDI
<sup>1</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Total energy (kJ/day)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8830 (2573)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8419 (7043–10354)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">-</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">β-carotene (μg/day)
<sup>2</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4687 (2118)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4391(3291–5916)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">-</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">β-carotene
<sup>3</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5025 (2599)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4547 (3331–5999)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Vitamin C (mg/day)
<sup>2</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">201 (98)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">193 (130–255)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">60</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Vitamin C
<sup>3</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">337 (239)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">274 (188–399)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Vitamin E (mg/day)
<sup>2</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8.6 (4.0)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">7.7 (6.0–10.3)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">7.0</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Vitamin E
<sup>3</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">17.4 (15.3)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">13.8 (9.6–20.8)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Zinc (mg/day)
<sup>2</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11.8 (3.8)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11.2 (9.1–13.6)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11.0</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Zinc
<sup>3</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">19.7 (8.0)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">18.9 (13.7–25.9)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Copper (mg/day)
<sup>2</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.0 (0.6)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.0 (1.6–2.4)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.3
<sup>4</sup>
</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Copper
<sup>3</sup>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.3 (0.8)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.2 (1.7–2.8)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>
RDI refers to Recommended Dietary Intake according to the Nutrient Reference Values for Australia and New Zealand in pregnancy (aged 19–50 years), and are displayed when available;
<sup>2</sup>
Dietary intakes;
<sup>3</sup>
Total intakes from diet and supplement;
<sup>4</sup>
This refers to the Adequate Intake (AI) that is used when an RDI cannot be determined.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="nutrients-04-01747-t003" position="float">
<object-id pub-id-type="pii">nutrients-04-01747-t003_Table 3</object-id>
<label>Table 3</label>
<caption>
<p>Allergic outcomes at 12 months of age.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle" rowspan="1" colspan="1">Allergic outcome</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Number analyzed</th>
<th align="center" valign="middle" rowspan="1" colspan="1">
<italic>n</italic>
(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Allergic disease</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">118 (39.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Eczema</td>
<td align="center" valign="middle" rowspan="1" colspan="1">294</td>
<td align="center" valign="middle" rowspan="1" colspan="1">118 (40.1)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food allergy</td>
<td align="center" valign="middle" rowspan="1" colspan="1">294</td>
<td align="center" valign="middle" rowspan="1" colspan="1">39 (13.3)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Any wheeze</td>
<td align="center" valign="middle" rowspan="1" colspan="1">299</td>
<td align="center" valign="middle" rowspan="1" colspan="1">85 (28.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Asthma</td>
<td align="center" valign="middle" rowspan="1" colspan="1">300</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0 (0)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">SPT
<sup>1</sup>
positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">295</td>
<td align="center" valign="middle" rowspan="1" colspan="1">85 (28.8)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Egg SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">67 (22.9)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Peanut SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">32 (10.9)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Milk SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">294</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10 (3.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">HDM SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">19 (6.5)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Cat SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">13 (4.4)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Grasses SPT positive</td>
<td align="center" valign="middle" rowspan="1" colspan="1">293</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5 (1.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>
SPT: skin prick test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.2. Effects of Maternal Dietary Antioxidant Intakes on the Development of Allergic Disease</title>
<p>First, we analysed the relationship between maternal dietary antioxidant intakes and infant allergic outcomes (
<xref ref-type="table" rid="nutrients-04-01747-t004">Table 4</xref>
). This was to examine the effects of foods separate to any antioxidants derived from maternal supplements in pregnancy.</p>
<table-wrap id="nutrients-04-01747-t004" position="float">
<object-id pub-id-type="pii">nutrients-04-01747-t004_Table 4</object-id>
<label>Table 4</label>
<caption>
<p>ORs and 95% CIs for 12 month allergic outcomes by quartiles of maternal dietary antioxidant intake in pregnancy in 300 mother-infant pairs
<sup>1</sup>
. </p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" colspan="1"></th>
<th colspan="2" align="center" valign="middle" rowspan="1">Eczema</th>
<th colspan="2" align="center" valign="middle" rowspan="1">Food Allergy</th>
<th colspan="3" align="center" valign="middle" rowspan="1">Wheeze</th>
<th colspan="2" align="center" valign="middle" rowspan="1">Sensitisation</th>
<th colspan="2" align="center" valign="middle" rowspan="1">Any Allergic disease</th>
</tr>
<tr>
<th align="center" valign="middle" rowspan="1" colspan="1">Crude OR</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Adjusted OR
<sup>2</sup>
</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Crude OR</th>
<th colspan="2" align="center" valign="middle" rowspan="1">Adjusted OR
<sup>2</sup>
</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Crude OR</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Adjusted OR
<sup>3</sup>
</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Crude OR</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Adjusted OR
<sup>4</sup>
</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Crude OR</th>
<th align="center" valign="middle" rowspan="1" colspan="1">Adjusted OR
<sup>2</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="12" align="left" valign="middle" rowspan="1">β-carotene</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.88 (0.46–1.71)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.54 (0.25–1.17)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.66 (0.24–1.84)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.40 (0.12–1.32)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.61 (0.29–1.28)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.54 (0.23–1.22)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.81 (0.39–1.69)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.54 (0.23–1.22)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.80 (0.41–1.54)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.51 (0.24–1.11)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.03 (0.53–2.00)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.76 (0.36–1.64)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.57 (0.66–3.82)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.16 (0.43–3.11)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.30 (0.66–2.57)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.09 (0.70–2.88)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.31 (0.66–2.63)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.09 (0.51–2.32)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.12 (0.58–2.13)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.02 (0.49–2.14)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.85 (0.44–1.66)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.67 (0.31–1.43)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.78 (0.29–2.09)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.38 (0.11–1.27)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.77 (0.38–1.57)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.73 (0.33–1.61)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.92 (0.45–1.89)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.73 (0.33–1.61)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.80 (0.41–1.54)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.68 (0.32–1.43)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>P</italic>
<sub>trend</sub>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.9</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.3</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.2</td>
</tr>
<tr>
<td colspan="12" align="left" valign="middle" rowspan="1">Vitamin C</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.01 (0.52–1.94)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.87 (0.41–1.86)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.26 (0.08–0.85)</bold>
</td>
<td colspan="2" align="center" valign="middle" rowspan="1">
<bold>0.22 (0.06–0.78)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.98 (0.49–1.95)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.11 (0.51–2.40)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.57 (0.27–1.21)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.22 (0.13–0.78)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.68 (0.36–1.31)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.62 (0.30–1.32)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.88 (0.46–1.70)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.07 (0.50–2.31)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.06 (0.46–2.44)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.75 (0.27–2.06)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.04 (0.60–2.52)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.33 (0.61–2.90)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.16 (0.58–2.32)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.83 (0.37–1.85)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.76 (0.40–1.46) </td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.78 (0.37–1.66)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.69 (0.35–1.35)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.72 (0.33–1.57)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.54 (0.21–1.40)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.46 (0.16–1.36)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.40 (0.18–0.87)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.40 (0.16–0.98)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.03 (0.51–2.07)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.76 (0.34–1.67)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.48 (0.25–0.93)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.56 (0.28–1.26)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>P</italic>
<sub>trend</sub>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.8</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.07</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.06</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.06</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.07</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
</tr>
<tr>
<td colspan="12" align="left" valign="middle" rowspan="1">Vitamin E</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.98 (0.51–1.89)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.02 (0.47–2.22)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00 (0.40–2.48)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.96 (0.32–2.84)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.84 (0.41–1.70)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.89 (0.41–1.93)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.78 (0.39–1.56)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.69 (0.31–1.55)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.18 (0.62–2.25)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.21(0.56–2.60)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.73 (0.38–1.43)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.93 (0.43–2.03)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.78 (0.30–2.01)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.86 (0.29–2.54)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.71 (0.35–1.47)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.72 (0.33–1.41)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.68 (0.33–1.58)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.57 (0.25–1.28)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.55 (0.28–1.09)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.82 (0.37–1.78)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.18 (0.61–2.28)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.42 (0.68–2.98)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.68 (0.26–1.81)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.57 (0.19–1.72)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.06 (0.53–2.12)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.77 (0.36–1.66)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.74 (0.37–1.50)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.64 (0.29–1.41)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.06 (0.55–2.02)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.40 (0.68–2.91)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>P</italic>
<sub>trend</sub>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.8</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.8</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.9</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
</tr>
<tr>
<td colspan="12" align="left" valign="middle" rowspan="1">Copper</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.42 (0.22–0.83)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.57 (0.27–1.23)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.62 (0.25–1.55)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.60 (0.22–1.60)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.54 (0.27–1.10)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.40 (0.18–0.91)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.63 (0.31–1.31)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.40 (0.18–0.91)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.41 (0.21–0.80)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.40 (0.19–0.87)</bold>
</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.40 (0.20–0.78)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.31 (0.14–0.70)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.70 (0.28–1.71)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.40 (0.13–1.22)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.84 (0.43–1.64)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.89 (0.42–1.89)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.98 (0.49–1.95)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.59 (0.27–1.30)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.41 (0.21–0.80)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.34 (0.15–0.74)</bold>
</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.60 (0.31–1.15)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.58 (0.28–1.21)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.46 (0.17–1.23)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">
<bold>0.38 (0.11–0.95)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.39 (0.18–0.81)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.31 (0.13–0.72)</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.79 (0.39–1.60)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.64 (0.30–0.39)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.58 (0.31–1.12)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.57 (0.28–1.19)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>P</italic>
<sub>trend</sub>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">
<bold>0.01</bold>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.03</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td colspan="12" align="left" valign="middle" rowspan="1">Zinc</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.32 (0.68–2.56)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.44 (0.67–3.10)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.86 (0.31–2.37)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.67 (0.22–2.03)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.90 (0.45–1.80)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.77 (0.35–1.66)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.81 (0.39–1.69)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.70 (0.32–1.57)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.26 (0.65–2.46)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.37 (0.60–2.77)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.17 (0.60–2.29)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.22 (0.56–2.66)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.40 (0.55–3.56)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">1.28 (0.46–3.53)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00 (0.50–1.99)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.91 (0.42–1.98)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.29 (0.64–2.59)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.16 (0.53–2.54)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.26 (0.65–2.46)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.47 (0.68–3.19)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Q4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.64 (0.85–3.18)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.73 (0.80–3.73)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.11 (0.42–2.92)</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.52 (0.16–1.73)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.53 (0.25–1.12)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.47 (0.20–1.08)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.02 (0.50–2.09)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.87 (0.39–1.96)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.85 (0.95–3.57)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.85 (0.86–3.97)</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">
<italic>P</italic>
<sub>trend</sub>
</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.8</td>
<td colspan="2" align="center" valign="middle" rowspan="1">0.4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.7</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>
Calorie-adjusted nutrients are in quartiles of intake, with the first quartile being the lowest;
<sup>2</sup>
Maternal education, paternal history of allergic disease, birth weight and exposure to furred pets at home were included in the multiple logistic regression model;
<sup>3</sup>
Maternal education and delivery method were included in the multiple logistic regression model;
<sup>4</sup>
Maternal education and parity were included in the multiple logistic regression model; Bold font indicates statistically significant relationship.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For “any allergic disease” higher maternal dietary vitamin C intake was associated with a reduced risk of diagnosed allergic disease at 1 year for the highest
<italic>versus</italic>
the lowest quartile (the crude odds ratio [OR] = 0.48, 95% CI 0.25–0.93), although the inverse linear trend and the adjusted OR were not statistically significant (
<xref ref-type="table" rid="nutrients-04-01747-t004">Table 4</xref>
). Higher maternal dietary vitamin C intake was also associated with a reduced risk of wheeze (highest
<italic>versus</italic>
the lowest quartile crude OR 0.40; 95% CI 0.18–0.87), with the inverse linear trend approaching significance (
<italic>p</italic>
<sub>trend</sub>
= 0.06). These relationships persisted after adjusting for potential confounders (
<xref ref-type="table" rid="nutrients-04-01747-t004">Table 4</xref>
). There were also relationships between vitamin C intake and both food allergy (
<italic>p</italic>
<sub>trend</sub>
= 0.07) and sensitisation (
<italic>p</italic>
<sub>trend</sub>
= 0.07) although neither of these was statistically significant.</p>
<p>There were also inverse relationships between maternal dietary copper intake and a number of infant allergic outcomes, including eczema (
<italic>p</italic>
<sub>trend</sub>
= 0.03), wheeze (
<italic>p
<sub>t</sub>
</italic>
<sub>rend</sub>
= 0.05) and any allergic disease (
<italic>p</italic>
<sub>trend</sub>
= 0.03) as noted on
<xref ref-type="table" rid="nutrients-04-01747-t004">Table 4</xref>
. After adjusting for potential confounding factors these inverse linear trends were still evident (eczema
<italic>p</italic>
<sub>trend</sub>
= 0.05, wheeze
<italic>p</italic>
<sub>trend</sub>
= 0.01 and any allergic disease
<italic>p</italic>
<sub>trend</sub>
= 0.03). Comparing quartiles for copper intake, the risk of wheeze was significantly reduced in the highest
<italic>versus</italic>
the lowest quartile (OR 0.39; 95% CI 0.18–0.81) and remained statistically significant after adjusting for potential confounders in the multivariate model (aOR 0.31; 95% CI 0.13–0.72). The relationship between copper intakes and food allergy also became statistically significant in the multivariate model (highest
<italic>versus</italic>
the lowest quartile aOR 0.38 (95% CI 0.11–0.95).</p>
<p>No statistically significant exposure-response associations were observed between maternal dietary intakes of β-carotene, vitamin E or zinc and the risk of developing early allergic outcomes (
<xref ref-type="table" rid="nutrients-04-01747-t004">Table 4</xref>
). Since many mothers did not meet the RDI for vitamin E and Zinc [
<xref ref-type="bibr" rid="B18-nutrients-04-01747">18</xref>
], we investigated associations between vitamin E and zinc intakes dichotomized as exposure at the minimum RDI (yes/no) and allergic outcomes. We observed a trend towards an inverse association between dietary zinc intakes and wheeze (crude OR 0.64; 95% CI 0.39–1.06), (
<italic>p</italic>
<sub>trend</sub>
= 0.08). However, when adjusting for potential confounders, the inverse trend was not statistically significant (aOR 0.74, 0.42–1.31), (
<italic>p</italic>
<sub>trend</sub>
= 0.3). No other statistically significant exposure-response associations became evident (data not shown).</p>
</sec>
<sec>
<title>3.3. Effects of Total Maternal Antioxidant Intakes on the Development of Allergic Disease</title>
<p>Next we examined the same relationships in relation to antioxidants derived from
<italic>both</italic>
the maternal diet and from supplements. The majority of the mothers consumed some form of vitamin and mineral supplementation (most commonly in the form of a multivitamin supplement) during pregnancy; with no differences according to the postnatal randomized intervention (
<italic>p</italic>
= 0.4). In summary, there were no statistically significant associations observed between total intake of specific antioxidants (β-carotene, vitamin C, E, zinc and copper) in pregnancy and the risk of developing eczema, food allergy, wheeze, sensitisation or any allergic disease neither in the crude nor adjusted analyses (data not shown). There were also no relationships between antioxidants specifically derived from supplements (as opposed to background diet) and allergic outcomes (data not shown).</p>
</sec>
</sec>
<sec>
<title>4. Discussion</title>
<p>In this study, there were some inverse (“protective”) relationships between antioxidant intakes in pregnancy and infant allergic outcomes, but this was only evident for selected antioxidant factors (vitamin C and copper) and only seen in relation to dietary nutrients and not for dietary supplements
<italic>per se</italic>
. Specifically, higher maternal dietary copper intake was associated with reduced risk of wheeze and development of any early allergic disease in infants at high risk due to family allergy history. Furthermore, maternal dietary vitamin C intake in pregnancy appeared protective against development of wheeze in the first year of life. As indicated, there were no associations between allergic outcomes and total intakes of copper, vitamin C or any other antioxidants when we also took maternal vitamin and mineral supplementation into account. This could be an indication that other qualities of maternal diet and not only the specific antioxidant in question may provide beneficial effects on immune function and disease susceptibility.</p>
<p>While there are relatively few studies to examine copper in this context, there are some previous observations that support a role for this element in immunomodulation. Copper requirements are increased in pregnancy and suboptimal supply may have adverse effects on developing tissues and organ systems including the lung, skin and immune system [
<xref ref-type="bibr" rid="B19-nutrients-04-01747">19</xref>
]. Compared with optimal copper intake, a diet marginally low in copper to pregnant rodents led to reduced splenic T cell proliferation as demonstrated by lower mitogen induced Interleukin-2 (IL-2) production in their offspring [
<xref ref-type="bibr" rid="B20-nutrients-04-01747">20</xref>
]. In humans, the immune effects of copper deficiency in pregnancy are largely unknown. In the large Project Viva birth-cohort study, a higher total copper intake in pregnancy was associated with reduced wheeze at 2 years in the univariate model, although there was no association when adjusting for confounders [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
]. Compared to dietary copper intake levels in that study, levels in the present study are marginally higher. However, the two studies are not necessarily comparable as we studied a high allergy risk population. Our findings suggest that optimal dietary copper intakes specifically in infants at high risk of developing the allergic phenotype may be favourable, although this must be further explored.</p>
<p>The potential protective effects of vitamin C and antioxidant rich foods on allergic disease have been noted in a number of previous studies, including links between higher intakes of antioxidant rich foods, better pulmonary function and reduced risk of wheeze [
<xref ref-type="bibr" rid="B21-nutrients-04-01747">21</xref>
]. This is consistent with the findings in the present study that suggest a reduced risk of wheeze with higher maternal dietary vitamin C intake, although the inverse linear trend fell short of the significance level. However, the limitations of assessing wheeze and asthma at this age are well recognized, and results should be interpreted cautiously. There is a sigmoidal association between vitamin C intake and plasma concentration of vitamin C. Levine
<italic>et al.</italic>
[
<xref ref-type="bibr" rid="B22-nutrients-04-01747">22</xref>
] demonstrated that plasma concentrations increased steeply above intakes of 30 mg daily and that the steep portion of the plasma concentration curve occurred with a daily dose of vitamin C of between 30 and 100 mg. Complete saturation occurred at 1000 mg daily. In the present study, the majority of mothers reported dietary vitamin C intakes above the RDI of 60 mg vitamin C daily, thereby well meeting the expected needs [
<xref ref-type="bibr" rid="B18-nutrients-04-01747">18</xref>
]. Therefore, we speculate that there was no additional benefit when assessing the relationship between total intakes (diet plus supplements) in relation to development of allergic disease. By comparison, Miyake
<italic>et al.</italic>
[
<xref ref-type="bibr" rid="B11-nutrients-04-01747">11</xref>
] reported an inverse relationship between maternal intake of citrus fruits, rich in vitamin C, and reduced risk of wheeze at 2 years. This negative association between intakes of fruits and asthma and asthma-like symptoms was also demonstrated in a meta-analysis including 22 (cohort, cross-sectional and case-control) studies [
<xref ref-type="bibr" rid="B23-nutrients-04-01747">23</xref>
]. With a more limited dataset available, a meta-analysis on two published birth cohort studies [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
,
<xref ref-type="bibr" rid="B10-nutrients-04-01747">10</xref>
] observed no association between maternal vitamin C intake in pregnancy and wheeze at 2 years of age [
<xref ref-type="bibr" rid="B23-nutrients-04-01747">23</xref>
]. There is a paucity of intervention studies with vitamin C in pregnancy for prevention of allergic disease. Although not designed for allergy prevention, Greenough
<italic>et al.</italic>
[
<xref ref-type="bibr" rid="B24-nutrients-04-01747">24</xref>
] observed no effect on respiratory outcomes up to 2 years of age in children whose mothers at high risk of preeclampsia were supplemented with high dose vitamins C and E in pregnancy, compared to placebo. </p>
<p>We could not confirm previous findings that reduced maternal vitamin E intakes were associated with increased risk of developing childhood wheeze [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
,
<xref ref-type="bibr" rid="B10-nutrients-04-01747">10</xref>
,
<xref ref-type="bibr" rid="B11-nutrients-04-01747">11</xref>
,
<xref ref-type="bibr" rid="B12-nutrients-04-01747">12</xref>
] despite the fact that almost 50% of pregnant mothers did not meet the RDI when intakes from diet alone were taken into account, and 20% of the mothers did not meet the RDI when total vitamin E intakes were analysed [
<xref ref-type="bibr" rid="B18-nutrients-04-01747">18</xref>
]. Finally, we observed no statistically significant exposure-response associations between maternal dietary intakes of β-carotene or zinc, and the risk of early allergic outcomes. This is in contrast to the meta-analysis by Nurmatov
<italic>et al.</italic>
[
<xref ref-type="bibr" rid="B23-nutrients-04-01747">23</xref>
] that suggested a possible effect of zinc in pregnancy and the development of asthma. Again, as we specifically included a population at high risk of developing the allergic phenotype, studies included in the meta-analysis and the present study are not directly comparable. Further, assessing preventive effects on asthma at this young age is controversial as much wheeze is infection-induced at this age.</p>
<p>This study has several strengths. The prospective design limits the risk of recall bias. In previous studies [
<xref ref-type="bibr" rid="B9-nutrients-04-01747">9</xref>
,
<xref ref-type="bibr" rid="B10-nutrients-04-01747">10</xref>
,
<xref ref-type="bibr" rid="B11-nutrients-04-01747">11</xref>
,
<xref ref-type="bibr" rid="B13-nutrients-04-01747">13</xref>
] the diagnosis of allergic disease has relied on data from questionnaires and/or evidence of sensitisation whereas in the present study, the diagnosis of allergic disease relies on both clinical assessment and evidence of allergic sensitisation. Information on a number of potential confounders such as dietary exposures, including breastfeeding duration, and other environmental exposures were collected prospectively. Their possible association with the clinical outcomes were examined, and variables that were significantly associated with any of these outcomes were then included in the multivariate analyses. However, there are also limitations of the study. As with all observational studies assessing effects of specific antioxidants there is potential confounding related to the issue of concomitant intakes of other protective nutrients. It has been argued that assessment of the effects of specific nutrients individually may be over-simplistic. An optional approach is to examine the effects of changing composite patterns of specific nutrient intakes [
<xref ref-type="bibr" rid="B2-nutrients-04-01747">2</xref>
]. “Dietary patterns” such as the Mediterranean diet has been suggested to be protective in the development of allergic disease [
<xref ref-type="bibr" rid="B25-nutrients-04-01747">25</xref>
,
<xref ref-type="bibr" rid="B26-nutrients-04-01747">26</xref>
], largely due to dietary effects in pregnancy [
<xref ref-type="bibr" rid="B26-nutrients-04-01747">26</xref>
].</p>
</sec>
<sec>
<title>5. Conclusions</title>
<p>In summary, this study suggests an association between maternal consumption of foods rich in some antioxidant factors, namely vitamin C and copper, and reduced risk of allergic outcomes in infancy in a population predisposed to allergic disease. However, there were no significant effects of any other antioxidants on these outcomes. The protective effects of fresh foods rich in vitamin C on wheeze is consistent with previous studies, and it is notable that we did not observe any effect of vitamin supplements on any allergic outcomes. Further studies are needed to assess the effects of both specific antioxidants and dietary patterns in pregnancy, with a particular focus on the complex composite effects of diet and the effects of fresh foods rather than isolated supplemental nutrients. </p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>This project is funded by a National Health and Medical Research Council (NHMRC) of Australia. Susan Prescott is supported by a NHMRC Practitioner Fellowship. Meri Tulic and Wendy Oddy are funded by NHMRC Career Development Fellowship. Christina West received funding from the Throne Holst Foundation, the Swedish Society for Medical Research and Samariten Foundation. Acknowledgements are extended to the CSIRO Food and Nutritional Sciences for the food frequency data entry and analysis. We also thank Elaine Pascoe for expert statistical advice. </p>
</ack>
<notes>
<title>Conflict of Interest</title>
<p>The authors declare no conflict of interest. </p>
</notes>
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<given-names>L.</given-names>
</name>
<name>
<surname>Torrent</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Romieu</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Garcia-Esteban</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Ferrer</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Vioque</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Kogevinas</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sunyer</surname>
<given-names>J.</given-names>
</name>
</person-group>
<article-title>Mediterranean diet in pregnancy is protective for wheeze and atopy in childhood</article-title>
<source>Thorax</source>
<year>2008</year>
<volume>63</volume>
<fpage>507</fpage>
<lpage>513</lpage>
<pub-id pub-id-type="pmid">18198206</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

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