Dietary Monounsaturated Fatty Acids Intake and Risk of Skin Photoaging
Identifieur interne : 000519 ( Pmc/Corpus ); précédent : 000518; suivant : 000520Dietary Monounsaturated Fatty Acids Intake and Risk of Skin Photoaging
Auteurs : Julie Latreille ; Emmanuelle Kesse-Guyot ; Denis Malvy ; Valentina Andreeva ; Pilar Galan ; Erwin Tschachler ; Serge Hercberg ; Christiane Guinot ; Khaled EzzedineSource :
- PLoS ONE [ 1932-6203 ] ; 2012.
Abstract
Intake of monounsaturated fatty acids has been reported to reduce oxidative stress, insulin resistance and related inflammatory processes and may thus protect from skin photoaging. The objective of this study was to investigate the association between the risk of photoaging, monounsaturated fatty acids intake and the sources of monounsaturated fatty acids.
A cross sectional study was conducted within the framework of the SUVIMAX cohort. The survey included 1264 women and 1655 men aged between 45 and 60 years old. Dietary monounsaturated fatty acids intakes were estimated by dietary source through at least ten 24-h diet records completed during the first 2.5 years of the follow-up period. Severity of facial skin photoaging was graded by trained investigators at baseline during a clinical examination using a 6-grade scale illustrated by photographs. A lower risk of severe photoaging was associated with higher intakes of monounsaturated fatty acids from olive oil in both sexes. Strikingly, no association was found with intake of monounsaturated fatty acids from animal sources whether from dairy products, meat or processed meat.
These findings support the beneficial effect of dietary olive oil or healthy diet habits associated with olive oil consumption on the severity of facial photoaging.
Url:
DOI: 10.1371/journal.pone.0044490
PubMed: 22970231
PubMed Central: 3435270
Links to Exploration step
PMC:3435270Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Dietary Monounsaturated Fatty Acids Intake and Risk of Skin Photoaging</title><author><name sortKey="Latreille, Julie" sort="Latreille, Julie" uniqKey="Latreille J" first="Julie" last="Latreille">Julie Latreille</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kesse Guyot, Emmanuelle" sort="Kesse Guyot, Emmanuelle" uniqKey="Kesse Guyot E" first="Emmanuelle" last="Kesse-Guyot">Emmanuelle Kesse-Guyot</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Malvy, Denis" sort="Malvy, Denis" uniqKey="Malvy D" first="Denis" last="Malvy">Denis Malvy</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff3"><addr-line>Department of Internal Medicine and Tropical Diseases, Hôpital Saint-André, Bordeaux, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Andreeva, Valentina" sort="Andreeva, Valentina" uniqKey="Andreeva V" first="Valentina" last="Andreeva">Valentina Andreeva</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Galan, Pilar" sort="Galan, Pilar" uniqKey="Galan P" first="Pilar" last="Galan">Pilar Galan</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tschachler, Erwin" sort="Tschachler, Erwin" uniqKey="Tschachler E" first="Erwin" last="Tschachler">Erwin Tschachler</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff4"><addr-line>Department of Dermatology, Medical University of Vienna, Vienna, Austria</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hercberg, Serge" sort="Hercberg, Serge" uniqKey="Hercberg S" first="Serge" last="Hercberg">Serge Hercberg</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Public Health, Hôpital Avicenne, Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Guinot, Christiane" sort="Guinot, Christiane" uniqKey="Guinot C" first="Christiane" last="Guinot">Christiane Guinot</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff6"><addr-line>Computer Science Laboratory, University François Rabelais, Tours, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Ezzedine, Khaled" sort="Ezzedine, Khaled" uniqKey="Ezzedine K" first="Khaled" last="Ezzedine">Khaled Ezzedine</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff7"><addr-line>Department of Dermatology, Hôpital Saint-André, Bordeaux, France</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22970231</idno><idno type="pmc">3435270</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435270</idno><idno type="RBID">PMC:3435270</idno><idno type="doi">10.1371/journal.pone.0044490</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000519</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000519</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Dietary Monounsaturated Fatty Acids Intake and Risk of Skin Photoaging</title><author><name sortKey="Latreille, Julie" sort="Latreille, Julie" uniqKey="Latreille J" first="Julie" last="Latreille">Julie Latreille</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kesse Guyot, Emmanuelle" sort="Kesse Guyot, Emmanuelle" uniqKey="Kesse Guyot E" first="Emmanuelle" last="Kesse-Guyot">Emmanuelle Kesse-Guyot</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Malvy, Denis" sort="Malvy, Denis" uniqKey="Malvy D" first="Denis" last="Malvy">Denis Malvy</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff3"><addr-line>Department of Internal Medicine and Tropical Diseases, Hôpital Saint-André, Bordeaux, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Andreeva, Valentina" sort="Andreeva, Valentina" uniqKey="Andreeva V" first="Valentina" last="Andreeva">Valentina Andreeva</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Galan, Pilar" sort="Galan, Pilar" uniqKey="Galan P" first="Pilar" last="Galan">Pilar Galan</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Tschachler, Erwin" sort="Tschachler, Erwin" uniqKey="Tschachler E" first="Erwin" last="Tschachler">Erwin Tschachler</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff4"><addr-line>Department of Dermatology, Medical University of Vienna, Vienna, Austria</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hercberg, Serge" sort="Hercberg, Serge" uniqKey="Hercberg S" first="Serge" last="Hercberg">Serge Hercberg</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Public Health, Hôpital Avicenne, Bobigny, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Guinot, Christiane" sort="Guinot, Christiane" uniqKey="Guinot C" first="Christiane" last="Guinot">Christiane Guinot</name><affiliation><nlm:aff id="aff1"><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff6"><addr-line>Computer Science Laboratory, University François Rabelais, Tours, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Ezzedine, Khaled" sort="Ezzedine, Khaled" uniqKey="Ezzedine K" first="Khaled" last="Ezzedine">Khaled Ezzedine</name><affiliation><nlm:aff id="aff2"><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff7"><addr-line>Department of Dermatology, Hôpital Saint-André, Bordeaux, France</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Intake of monounsaturated fatty acids has been reported to reduce oxidative stress, insulin resistance and related inflammatory processes and may thus protect from skin photoaging. The objective of this study was to investigate the association between the risk of photoaging, monounsaturated fatty acids intake and the sources of monounsaturated fatty acids.</p></sec><sec><title>Methodology/Principal Findings</title><p>A cross sectional study was conducted within the framework of the SUVIMAX cohort. The survey included 1264 women and 1655 men aged between 45 and 60 years old. Dietary monounsaturated fatty acids intakes were estimated by dietary source through at least ten 24-h diet records completed during the first 2.5 years of the follow-up period. Severity of facial skin photoaging was graded by trained investigators at baseline during a clinical examination using a 6-grade scale illustrated by photographs. A lower risk of severe photoaging was associated with higher intakes of monounsaturated fatty acids from olive oil in both sexes. Strikingly, no association was found with intake of monounsaturated fatty acids from animal sources whether from dairy products, meat or processed meat.</p></sec><sec><title>Conclusion/Significance</title><p>These findings support the beneficial effect of dietary olive oil or healthy diet habits associated with olive oil consumption on the severity of facial photoaging.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Christensen, K" uniqKey="Christensen K">K Christensen</name></author><author><name sortKey="Doblhammer, G" uniqKey="Doblhammer G">G Doblhammer</name></author><author><name sortKey="Rau, R" uniqKey="Rau R">R Rau</name></author><author><name sortKey="Vaupel, Jw" uniqKey="Vaupel J">JW Vaupel</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Zouboulis, Cc" uniqKey="Zouboulis C">CC Zouboulis</name></author><author><name sortKey="Makrantonaki, E" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22970231</article-id><article-id pub-id-type="pmc">3435270</article-id><article-id pub-id-type="publisher-id">PONE-D-12-16858</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0044490</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biology</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Lipids</subject><subj-group><subject>Fatty Acids</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine</subject><subj-group><subject>Dermatology</subject><subj-group><subject>Photodermatology and Skin Aging</subject></subj-group></subj-group><subj-group><subject>Epidemiology</subject><subj-group><subject>Clinical Epidemiology</subject><subject>Epidemiology of Aging</subject></subj-group></subj-group><subj-group><subject>Nutrition</subject></subj-group></subj-group></article-categories><title-group><article-title>Dietary Monounsaturated Fatty Acids Intake and Risk of Skin Photoaging</article-title><alt-title alt-title-type="running-head">Olive Oil and Skin Photoaging</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Latreille</surname><given-names>Julie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author"><name><surname>Kesse-Guyot</surname><given-names>Emmanuelle</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Malvy</surname><given-names>Denis</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Andreeva</surname><given-names>Valentina</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Galan</surname><given-names>Pilar</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Tschachler</surname><given-names>Erwin</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Hercberg</surname><given-names>Serge</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author"><name><surname>Guinot</surname><given-names>Christiane</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ezzedine</surname><given-names>Khaled</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>CE.R.I.E.S. (Research Centre on Human Skin Founded by CHANEL), Neuilly sur Seine, France</addr-line></aff><aff id="aff2"><label>2</label><addr-line>UMR U557 INSERM/U1125 INRA/CNAM, University Paris 13/Centre of Research on Human Nutrition Ile de France, Paris/Bobigny, France</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Department of Internal Medicine and Tropical Diseases, Hôpital Saint-André, Bordeaux, France</addr-line></aff><aff id="aff4"><label>4</label><addr-line>Department of Dermatology, Medical University of Vienna, Vienna, Austria</addr-line></aff><aff id="aff5"><label>5</label><addr-line>Department of Public Health, Hôpital Avicenne, Bobigny, France</addr-line></aff><aff id="aff6"><label>6</label><addr-line>Computer Science Laboratory, University François Rabelais, Tours, France</addr-line></aff><aff id="aff7"><label>7</label><addr-line>Department of Dermatology, Hôpital Saint-André, Bordeaux, France</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Soyer</surname><given-names>H. Peter</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>The University of Queensland, Australia</addr-line></aff><author-notes><corresp id="cor1">* E-mail: <email>julie.latreille@ceries-lab.com</email></corresp><fn fn-type="conflict"><p><bold>Competing Interests: </bold>JL, CG and ET are employees of the CE.R.I.E.S. There are no patents, products in development or marketed products to declare. This does not alter the authors’ adherence to all the PLoS ONE policieson sharing data and materials.</p></fn><fn fn-type="con"><p>Conceived and designed the experiments: JL KE SH CG. Performed the experiments: PG EKG. Analyzed the data: JL. Wrote the paper: JL CG KE EKG DM. Provided advice and critically reviewed the manuscript: PG VA ET SH.</p></fn></author-notes><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>6</day><month>9</month><year>2012</year></pub-date><volume>7</volume><issue>9</issue><elocation-id>e44490</elocation-id><history><date date-type="received"><day>12</day><month>6</month><year>2012</year></date><date date-type="accepted"><day>2</day><month>8</month><year>2012</year></date></history><permissions><copyright-year>2012</copyright-year><copyright-holder>Latreille et al</copyright-holder><license><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><abstract><sec><title>Background</title><p>Intake of monounsaturated fatty acids has been reported to reduce oxidative stress, insulin resistance and related inflammatory processes and may thus protect from skin photoaging. The objective of this study was to investigate the association between the risk of photoaging, monounsaturated fatty acids intake and the sources of monounsaturated fatty acids.</p></sec><sec><title>Methodology/Principal Findings</title><p>A cross sectional study was conducted within the framework of the SUVIMAX cohort. The survey included 1264 women and 1655 men aged between 45 and 60 years old. Dietary monounsaturated fatty acids intakes were estimated by dietary source through at least ten 24-h diet records completed during the first 2.5 years of the follow-up period. Severity of facial skin photoaging was graded by trained investigators at baseline during a clinical examination using a 6-grade scale illustrated by photographs. A lower risk of severe photoaging was associated with higher intakes of monounsaturated fatty acids from olive oil in both sexes. Strikingly, no association was found with intake of monounsaturated fatty acids from animal sources whether from dairy products, meat or processed meat.</p></sec><sec><title>Conclusion/Significance</title><p>These findings support the beneficial effect of dietary olive oil or healthy diet habits associated with olive oil consumption on the severity of facial photoaging.</p></sec></abstract><funding-group><funding-statement>The authors have no support or funding to report.</funding-statement></funding-group><counts><page-count count="7"></page-count></counts></article-meta></front><body><sec id="s1"><title>Introduction</title><p>In the past century, life-expectancy has increased in most developed countries <xref ref-type="bibr" rid="pone.0044490-Christensen1">[1]</xref>. Changes to the appearance of the skin represent a visible sign of tissue alteration that occurs with age <xref ref-type="bibr" rid="pone.0044490-Farage1">[2]</xref>. More specifically, skin aging is an important public health issue as it may result in the development of a large range of morbidities including non melanoma skin cancers <xref ref-type="bibr" rid="pone.0044490-Zouboulis1">[3]</xref>.</p><p>Skin aging is driven by both intrinsic and extrinsic factors. Intrinsic aging, also referred to as chronological skin aging, is an ineluctable process <xref ref-type="bibr" rid="pone.0044490-Malvy1">[4]</xref>, due to genetically determined loss of cell function with age. Intrinsic skin aging is characterized by fine wrinkles, and dry, thin and pallid skin <xref ref-type="bibr" rid="pone.0044490-Fisher1">[5]</xref>, <xref ref-type="bibr" rid="pone.0044490-Makrantonaki1">[6]</xref>. Extrinsic skin aging overlays intrinsic aging and is dependent on environmental and behavioral factors, in particular sun exposure. Extrinsic aging is characterized by solar elastosis, actinic keratosis, pigmentation and vascular abnormalities. The ultimate stage of this process is skin cancer, namely basal cell carcinomas and squamous cell carcinomas <xref ref-type="bibr" rid="pone.0044490-PuizinaIvic1">[7]</xref>–<xref ref-type="bibr" rid="pone.0044490-Rabe1">[9]</xref>. The main factor responsible for extrinsic aging is ultraviolet radiation and is thus referred to as skin photoaging. Skin damage, which may in part be reversible, is mainly driven by the production of reactive oxygen species (ROS) and related inflammation occurring in response to cumulated or intermittent intense sun exposure. Exposure to UVB damages DNA directly through generation of cyclobutane pyrimidine dimers and 6-4 photoproducts in keratinocytes and melanocytes, whereas UVA damages more indirectly through generation of ROS, leading to lipid peroxidation, activation of transcription factors (NF-kB and AP-1) and DNA strand breaks.</p><p>Numerous studies have focused on the possible role of diet in the capacity of the skin to resist damage induced by UV radiation <xref ref-type="bibr" rid="pone.0044490-Sies1">[10]</xref>. Although the skin is a major fat storage organ in humans, data on the impact of lipid intake on skin physiology are limited. Low fat intake has been proposed to protect from photodamage <xref ref-type="bibr" rid="pone.0044490-Black1">[11]</xref>. In particular, monounsaturated fatty acids (MUFA) have been reported to reduce oxidative stress, insulin resistance and related inflammation <xref ref-type="bibr" rid="pone.0044490-Galland1">[12]</xref>–<xref ref-type="bibr" rid="pone.0044490-Bergouignan1">[15]</xref>.</p><p>In this context, we have performed an analysis within the framework of the SU.VI.MAX cohort designed to explore possible associations between the severity of facial skin photoaging, MUFA intake and the sources of MUFA. Photoaging was measured using a 6-grade scale specially developed and validated for assessing the overall severity of photodamage, including pigmentation abnormalities, wrinkling and tissue slackening <xref ref-type="bibr" rid="pone.0044490-Larnier1">[16]</xref>.</p><fig id="pone-0044490-g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0044490.g001</object-id><label>Figure 1</label><caption><title>Flow chart of participants from the SU.VI.MAX study cohort retained in the analysis.</title></caption><graphic xlink:href="pone.0044490.g001"></graphic></fig></sec><sec sec-type="materials|methods" id="s2"><title>Materials and Methods</title><sec id="s2a"><title>Study Population</title><p>Subjects were participants in the SU.VI.MAX (<italic>Supplémentation en Vitamines et Minéraux Antioxydants</italic>) study, a double blind, placebo-controlled primary prevention trial evaluating the effect of antioxidant supplementation (a mixture of vitamin C, vitamin E, β-carotene, zinc, and selenium) on the incidence of ischemic heart diseases and of cancers in a population of adult men and women. A total of 13,017 volunteers, 7876 women and 5141 men were included in 1994–1995 with a planned follow-up of eight years. Men were aged 45–60 years and women 35–60 years at enrolment. The design, objectives and methodology of the study have been described <italic>in extenso</italic> elsewhere <xref ref-type="bibr" rid="pone.0044490-Hercberg1">[17]</xref>. All subjects gave their informed written consent to the study. The study was approved by <italic>ad hoc</italic> ethical committees, the “<italic>Comité Consultatif de Protection des Personnes dans la Recherche Biomédicale</italic>” (CCPPRB no. 706, Cochin Hospital, Paris, France), and the “<italic>Commission Nationale de l’Informatique et des Libertés</italic>” (CNIL no. 334641). The study was registered at clinicaltrials.gov as NCT00272428 <xref ref-type="bibr" rid="pone.0044490-Hercberg2">[18]</xref>.</p><table-wrap id="pone-0044490-t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0044490.t001</object-id><label>Table 1</label><caption><title>Demographic, medical and behavioral characteristics according to photoaging severity.</title></caption><alternatives><graphic id="pone-0044490-t001-1" xlink:href="pone.0044490.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td colspan="5" align="left" rowspan="1">Women (n = 1264)</td><td colspan="5" align="left" rowspan="1">Men (n = 1655)</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td colspan="5" align="left" rowspan="1">Photoaging grades</td><td colspan="5" align="left" rowspan="1">Photoaging grades</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1–2</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">5–6</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1–2</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">5–6</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Characteristics</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">(n = 193)</td><td align="left" rowspan="1" colspan="1">(n = 555)</td><td align="left" rowspan="1" colspan="1">(n = 402)</td><td align="left" rowspan="1" colspan="1">(n = 114)</td><td align="left" rowspan="1" colspan="1">P-value</td><td align="left" rowspan="1" colspan="1">(n = 212)</td><td align="left" rowspan="1" colspan="1">(n = 744)</td><td align="left" rowspan="1" colspan="1">(n = 574)</td><td align="left" rowspan="1" colspan="1">(n = 125)</td><td align="left" rowspan="1" colspan="1">P-value</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Age (years)</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">48.8 (3.5)</td><td align="left" rowspan="1" colspan="1">50.6 (4.1)</td><td align="left" rowspan="1" colspan="1">53.2 (4.0)</td><td align="left" rowspan="1" colspan="1">56.5 (3.7)</td><td align="left" rowspan="1" colspan="1"><0.0001</td><td align="left" rowspan="1" colspan="1">48.3 (4.2)</td><td align="left" rowspan="1" colspan="1">51.2 (4.4)</td><td align="left" rowspan="1" colspan="1">53.9 (3.9)</td><td align="left" rowspan="1" colspan="1">57.9 (2.6)</td><td align="left" rowspan="1" colspan="1"><0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>) (%)</td><td align="left" rowspan="1" colspan="1"><25</td><td align="left" rowspan="1" colspan="1">76</td><td align="left" rowspan="1" colspan="1">79</td><td align="left" rowspan="1" colspan="1">72</td><td align="left" rowspan="1" colspan="1">72</td><td align="left" rowspan="1" colspan="1">0.13</td><td align="left" rowspan="1" colspan="1">54</td><td align="left" rowspan="1" colspan="1">50</td><td align="left" rowspan="1" colspan="1">50</td><td align="left" rowspan="1" colspan="1">53</td><td align="left" rowspan="1" colspan="1">0.60</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">[25–30[</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1">22</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">40</td><td align="left" rowspan="1" colspan="1">44</td><td align="left" rowspan="1" colspan="1">44</td><td align="left" rowspan="1" colspan="1">38</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">> = 30</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Phototype<xref ref-type="table-fn" rid="nt102">*</xref> (%)</td><td align="left" rowspan="1" colspan="1">I-II</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">0.18</td><td align="left" rowspan="1" colspan="1">2</td><td align="left" rowspan="1" colspan="1">2</td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">0.0001</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IIIa</td><td align="left" rowspan="1" colspan="1">14</td><td align="left" rowspan="1" colspan="1">12</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">9</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">12</td><td align="left" rowspan="1" colspan="1">7</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IIIb</td><td align="left" rowspan="1" colspan="1">52</td><td align="left" rowspan="1" colspan="1">53</td><td align="left" rowspan="1" colspan="1">49</td><td align="left" rowspan="1" colspan="1">52</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">37</td><td align="left" rowspan="1" colspan="1">45</td><td align="left" rowspan="1" colspan="1">40</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IV</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">45</td><td align="left" rowspan="1" colspan="1">41</td><td align="left" rowspan="1" colspan="1">42</td><td align="left" rowspan="1" colspan="1">42</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">V–VI</td><td align="left" rowspan="1" colspan="1">1</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">5</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">9</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Lifetime sun</td><td align="left" rowspan="1" colspan="1">None – Low</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">9</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">0.88</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">0.26</td></tr><tr><td align="left" rowspan="1" colspan="1">exposure<xref ref-type="table-fn" rid="nt102">*</xref> (%)</td><td align="left" rowspan="1" colspan="1">Moderate</td><td align="left" rowspan="1" colspan="1">58</td><td align="left" rowspan="1" colspan="1">58</td><td align="left" rowspan="1" colspan="1">59</td><td align="left" rowspan="1" colspan="1">55</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">59</td><td align="left" rowspan="1" colspan="1">60</td><td align="left" rowspan="1" colspan="1">61</td><td align="left" rowspan="1" colspan="1">58</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">High</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">30</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">26</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Overall physical</td><td align="left" rowspan="1" colspan="1">Irregular</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">24</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">0.10</td><td align="left" rowspan="1" colspan="1">22</td><td align="left" rowspan="1" colspan="1">24</td><td align="left" rowspan="1" colspan="1">21</td><td align="left" rowspan="1" colspan="1">14</td><td align="left" rowspan="1" colspan="1">0.21</td></tr><tr><td align="left" rowspan="1" colspan="1">activity<xref ref-type="table-fn" rid="nt102">*</xref> (%)</td><td align="left" rowspan="1" colspan="1"><1 h/day</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1">36</td><td align="left" rowspan="1" colspan="1">31</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">24</td><td align="left" rowspan="1" colspan="1">23</td><td align="left" rowspan="1" colspan="1">19</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">≥1 h/day</td><td align="left" rowspan="1" colspan="1">37</td><td align="left" rowspan="1" colspan="1">42</td><td align="left" rowspan="1" colspan="1">40</td><td align="left" rowspan="1" colspan="1">54</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">52</td><td align="left" rowspan="1" colspan="1">53</td><td align="left" rowspan="1" colspan="1">56</td><td align="left" rowspan="1" colspan="1">66</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Smoking habits<xref ref-type="table-fn" rid="nt102">*</xref> (%)</td><td align="left" rowspan="1" colspan="1">Never smokers</td><td align="left" rowspan="1" colspan="1">62</td><td align="left" rowspan="1" colspan="1">66</td><td align="left" rowspan="1" colspan="1">63</td><td align="left" rowspan="1" colspan="1">75</td><td align="left" rowspan="1" colspan="1">0.24</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1">38</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1">0.67</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Former smokers</td><td align="left" rowspan="1" colspan="1">26</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">17</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">55</td><td align="left" rowspan="1" colspan="1">52</td><td align="left" rowspan="1" colspan="1">55</td><td align="left" rowspan="1" colspan="1">50</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Smokers</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1">9</td><td align="left" rowspan="1" colspan="1">8</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">10</td><td align="left" rowspan="1" colspan="1">15</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Hormonal status and</td><td align="left" rowspan="1" colspan="1">Non-menop</td><td align="left" rowspan="1" colspan="1">74</td><td align="left" rowspan="1" colspan="1">59</td><td align="left" rowspan="1" colspan="1">37</td><td align="left" rowspan="1" colspan="1">13</td><td align="left" rowspan="1" colspan="1"><0.0001</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">MHT intake<xref ref-type="table-fn" rid="nt102">*</xref><sup>,</sup><xref ref-type="table-fn" rid="nt104">‡</xref> (%)</td><td align="left" rowspan="1" colspan="1">Menop with MHT</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">30</td><td align="left" rowspan="1" colspan="1">46</td><td align="left" rowspan="1" colspan="1">56</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Menop without MHT</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">12</td><td align="left" rowspan="1" colspan="1">16</td><td align="left" rowspan="1" colspan="1">31</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Educational</td><td align="left" rowspan="1" colspan="1">Elementary school</td><td align="left" rowspan="1" colspan="1">22</td><td align="left" rowspan="1" colspan="1">23</td><td align="left" rowspan="1" colspan="1">23</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">0.38</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1">31</td><td align="left" rowspan="1" colspan="1">0.0181</td></tr><tr><td align="left" rowspan="1" colspan="1">level<xref ref-type="table-fn" rid="nt102">*</xref> (%)</td><td align="left" rowspan="1" colspan="1">Secondary school</td><td align="left" rowspan="1" colspan="1">45</td><td align="left" rowspan="1" colspan="1">41</td><td align="left" rowspan="1" colspan="1">48</td><td align="left" rowspan="1" colspan="1">47</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">36</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">36</td><td align="left" rowspan="1" colspan="1">47</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">University or equivalent</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">27</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">37</td><td align="left" rowspan="1" colspan="1">41</td><td align="left" rowspan="1" colspan="1">39</td><td align="left" rowspan="1" colspan="1">22</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Geographic</td><td align="left" rowspan="1" colspan="1">North of France</td><td align="left" rowspan="1" colspan="1">67</td><td align="left" rowspan="1" colspan="1">66</td><td align="left" rowspan="1" colspan="1">72</td><td align="left" rowspan="1" colspan="1">75</td><td align="left" rowspan="1" colspan="1">0.12</td><td align="left" rowspan="1" colspan="1">71</td><td align="left" rowspan="1" colspan="1">67</td><td align="left" rowspan="1" colspan="1">65</td><td align="left" rowspan="1" colspan="1">77</td><td align="left" rowspan="1" colspan="1">0.0267</td></tr><tr><td align="left" rowspan="1" colspan="1">location<xref ref-type="table-fn" rid="nt103">†</xref> (%)</td><td align="left" rowspan="1" colspan="1">South of France</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">25</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">29</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">35</td><td align="left" rowspan="1" colspan="1">23</td><td align="left" rowspan="1" colspan="1"></td></tr></tbody></table></alternatives><table-wrap-foot><fn id="nt101"><p>Values are expressed as means (SD) or percentages. Differences in demographic, medical and behavioral characteristics between photoaging grades were examined using analysis of variance for continuous variables (age) and the chi<sup>2</sup> test for categorical variables.</p></fn><fn id="nt102"><label>*</label><p>Due to possible missing values the sum of the cell frequencies can be smaller than the total indicated in the top of the columns.</p></fn><fn id="nt103"><label>†</label><p>France has been arbitrarily divided in north and south using the northern frontier of Aquitaine, Limousin, Auvergne, and Rhône-Alpes regions.</p></fn><fn id="nt104"><label>‡</label><p>MHT: menopausal hormone therapy.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2b"><title>Dietary Assessment</title><p>In order to take into account possible seasonal and weekly intra-individual variations in dietary intake, subjects were asked to complete a 24-h dietary record every two months from the inclusion to the end of the study for a total of six records per year (two weekend days and four weekdays per year). Dietary data were collected using the Minitel Telematic Network, a small terminal that was widely used as an adjunct to the telephone in France at the beginning of the study in the 1990s. This 24h record included about 900 items relating to food and drink for each of three meals (breakfast, lunch, and dinner) and for four other possible occasions for food intake (snacks). For each item, the subjects were requested to indicate the portion size consumed. To improve the quality of data collected, subjects received an instruction manual at the start of the study, including photographs of three portion sizes of about 250 foods and drinks. The use of the manual has been validated elsewhere <xref ref-type="bibr" rid="pone.0044490-LeMoullec1">[19]</xref>. The questionnaire also included questions on the type of oil or fat used for seasoning and cooking. Other details of these diet diaries have been published previously <xref ref-type="bibr" rid="pone.0044490-Hercberg1">[17]</xref>, <xref ref-type="bibr" rid="pone.0044490-Astorg1">[20]</xref>. Subjects who completed at least ten records over a period of 2.5 years after inclusion were selected for this analysis. Ten records were considered to be sufficient to estimate the individual intake of monounsaturated fatty acids (FA) with acceptable accuracy <xref ref-type="bibr" rid="pone.0044490-Mennen1">[21]</xref>. Finally, all subjects who developed a cancer or a cardiovascular event during the course of the dietary survey (2.5 years) were not included in the analysis (<xref ref-type="fig" rid="pone-0044490-g001">Fig. 1</xref>).</p><table-wrap id="pone-0044490-t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0044490.t002</object-id><label>Table 2</label><caption><title>Dietary factors according to photoaging severity.</title></caption><alternatives><graphic id="pone-0044490-t002-2" xlink:href="pone.0044490.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1"></td><td colspan="5" align="left" rowspan="1">Women (n = 1264)</td><td colspan="5" align="left" rowspan="1">Men (n = 1655)</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td colspan="5" align="left" rowspan="1">Photoaging grades</td><td colspan="5" align="left" rowspan="1">Photoaging grades</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1–2</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">5–6</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">1–2</td><td align="left" rowspan="1" colspan="1">3</td><td align="left" rowspan="1" colspan="1">4</td><td align="left" rowspan="1" colspan="1">5–6</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Dietary factors</td><td align="left" rowspan="1" colspan="1">(n = 193)</td><td align="left" rowspan="1" colspan="1">(n = 555)</td><td align="left" rowspan="1" colspan="1">(n = 402)</td><td align="left" rowspan="1" colspan="1">(n = 114)</td><td align="left" rowspan="1" colspan="1">P-value</td><td align="left" rowspan="1" colspan="1">(n = 212)</td><td align="left" rowspan="1" colspan="1">(n = 744)</td><td align="left" rowspan="1" colspan="1">(n = 574)</td><td align="left" rowspan="1" colspan="1">(n = 125)</td><td align="left" rowspan="1" colspan="1">P-value</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat (% TEI)</td><td align="left" rowspan="1" colspan="1">15.5 (2.4)</td><td align="left" rowspan="1" colspan="1">15.5 (2.8)</td><td align="left" rowspan="1" colspan="1">14.8 (3)</td><td align="left" rowspan="1" colspan="1">15.1 (3.4)</td><td align="left" rowspan="1" colspan="1">0.0106</td><td align="left" rowspan="1" colspan="1">14.8 (2.9)</td><td align="left" rowspan="1" colspan="1">14.7 (2.9)</td><td align="left" rowspan="1" colspan="1">14.5 (2.8)</td><td align="left" rowspan="1" colspan="1">13.9 (2.8)</td><td align="left" rowspan="1" colspan="1">0.0005</td></tr><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat from</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Dairy (%TEI)</td><td align="left" rowspan="1" colspan="1">4.2 (1.7)</td><td align="left" rowspan="1" colspan="1">4.2 (1.7)</td><td align="left" rowspan="1" colspan="1">4.3 (1.7)</td><td align="left" rowspan="1" colspan="1">4.4 (1.5)</td><td align="left" rowspan="1" colspan="1">0.73</td><td align="left" rowspan="1" colspan="1">4.1 (1.5)</td><td align="left" rowspan="1" colspan="1">4.0 (1.6)</td><td align="left" rowspan="1" colspan="1">4.0 (1.8)</td><td align="left" rowspan="1" colspan="1">4.0 (1.5)</td><td align="left" rowspan="1" colspan="1">0.61</td></tr><tr><td align="left" rowspan="1" colspan="1">Meat (%TEI)</td><td align="left" rowspan="1" colspan="1">1.1 (0.8)</td><td align="left" rowspan="1" colspan="1">1.0 (0.9)</td><td align="left" rowspan="1" colspan="1">1.0 (0.8)</td><td align="left" rowspan="1" colspan="1">1.0 (0.9)</td><td align="left" rowspan="1" colspan="1">0.12</td><td align="left" rowspan="1" colspan="1">1.3 (1.1)</td><td align="left" rowspan="1" colspan="1">1.2 (0.9)</td><td align="left" rowspan="1" colspan="1">1.1 (0.9)</td><td align="left" rowspan="1" colspan="1">1.1 (0.8)</td><td align="left" rowspan="1" colspan="1">0.28</td></tr><tr><td align="left" rowspan="1" colspan="1">Processed meats (%TEI)</td><td align="left" rowspan="1" colspan="1">1.1 (1.1)</td><td align="left" rowspan="1" colspan="1">1.1 (1.3)</td><td align="left" rowspan="1" colspan="1">1.0 (1.3)</td><td align="left" rowspan="1" colspan="1">1.1 (1.4)</td><td align="left" rowspan="1" colspan="1">0.35</td><td align="left" rowspan="1" colspan="1">1.6 (1.5)</td><td align="left" rowspan="1" colspan="1">1.4 (1.5)</td><td align="left" rowspan="1" colspan="1">1.4 (1.4)</td><td align="left" rowspan="1" colspan="1">1.4 (1.6)</td><td align="left" rowspan="1" colspan="1">0.31</td></tr><tr><td align="left" rowspan="1" colspan="1">Vegetable oils (%TEI)</td><td align="left" rowspan="1" colspan="1">3.9 (2.5)</td><td align="left" rowspan="1" colspan="1">3.7 (2.3)</td><td align="left" rowspan="1" colspan="1">3.6 (2.0)</td><td align="left" rowspan="1" colspan="1">3.7 (2.0)</td><td align="left" rowspan="1" colspan="1">0.14</td><td align="left" rowspan="1" colspan="1">3.4 (1.9)</td><td align="left" rowspan="1" colspan="1">3.4 (2.1)</td><td align="left" rowspan="1" colspan="1">3.3 (2.1)</td><td align="left" rowspan="1" colspan="1">2.8 (2.0)</td><td align="left" rowspan="1" colspan="1">0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Olive oil (g/day)</td><td align="left" rowspan="1" colspan="1">6.4 (4.4)</td><td align="left" rowspan="1" colspan="1">5.8 (4.8)</td><td align="left" rowspan="1" colspan="1">5.5 (4.4)</td><td align="left" rowspan="1" colspan="1">5.8 (4.6)</td><td align="left" rowspan="1" colspan="1">0.04</td><td align="left" rowspan="1" colspan="1">7.4 (5.8)</td><td align="left" rowspan="1" colspan="1">7.2 (5.2)</td><td align="left" rowspan="1" colspan="1">7.0 (5.4)</td><td align="left" rowspan="1" colspan="1">5.6 (4.1)</td><td align="left" rowspan="1" colspan="1">0.003</td></tr><tr><td align="left" rowspan="1" colspan="1">Peanut oil (g/day)</td><td align="left" rowspan="1" colspan="1">1.8 (1.6)</td><td align="left" rowspan="1" colspan="1">1.8 (1.9)</td><td align="left" rowspan="1" colspan="1">1.6 (1.6)</td><td align="left" rowspan="1" colspan="1">1.7 (1.4)</td><td align="left" rowspan="1" colspan="1">0.45</td><td align="left" rowspan="1" colspan="1">2.4 (1.8)</td><td align="left" rowspan="1" colspan="1">2.2 (2.1)</td><td align="left" rowspan="1" colspan="1">2.1 (2.0)</td><td align="left" rowspan="1" colspan="1">2.1 (1.6)</td><td align="left" rowspan="1" colspan="1">0.29</td></tr><tr><td align="left" rowspan="1" colspan="1">Sunflower oil (g/day)</td><td align="left" rowspan="1" colspan="1">4.9 (3.6)</td><td align="left" rowspan="1" colspan="1">5 (4.3)</td><td align="left" rowspan="1" colspan="1">4.9 (3.9)</td><td align="left" rowspan="1" colspan="1">4.9 (3.5)</td><td align="left" rowspan="1" colspan="1">0.93</td><td align="left" rowspan="1" colspan="1">6.1 (4.3)</td><td align="left" rowspan="1" colspan="1">6.1 (4.6)</td><td align="left" rowspan="1" colspan="1">6.1 (5.5)</td><td align="left" rowspan="1" colspan="1">6.1 (4.4)</td><td align="left" rowspan="1" colspan="1">0.90</td></tr><tr><td align="left" rowspan="1" colspan="1">Energy intake (MJ/day)</td><td align="left" rowspan="1" colspan="1">7.7 (2.2)</td><td align="left" rowspan="1" colspan="1">7.7 (2.6)</td><td align="left" rowspan="1" colspan="1">7.6 (2.4)</td><td align="left" rowspan="1" colspan="1">7.2 (2.5)</td><td align="left" rowspan="1" colspan="1">0.23</td><td align="left" rowspan="1" colspan="1">10.5 (3.1)</td><td align="left" rowspan="1" colspan="1">10.4 (3.2)</td><td align="left" rowspan="1" colspan="1">10.4 (3.2)</td><td align="left" rowspan="1" colspan="1">10.8 (2.4)</td><td align="left" rowspan="1" colspan="1">0.42</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin E (mg/day)</td><td align="left" rowspan="1" colspan="1">11.7 (5.1)</td><td align="left" rowspan="1" colspan="1">11.6 (5.6)</td><td align="left" rowspan="1" colspan="1">11.4 (5.8)</td><td align="left" rowspan="1" colspan="1">11.4 (4.4)</td><td align="left" rowspan="1" colspan="1">0.73</td><td align="left" rowspan="1" colspan="1">13.5 (5.0)</td><td align="left" rowspan="1" colspan="1">13.7 (5.9)</td><td align="left" rowspan="1" colspan="1">13.7 (6.8)</td><td align="left" rowspan="1" colspan="1">14.1 (5.4)</td><td align="left" rowspan="1" colspan="1">0.49</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin C (mg/day)</td><td align="left" rowspan="1" colspan="1">83.0 (47.5)</td><td align="left" rowspan="1" colspan="1">89.1 (54.2)</td><td align="left" rowspan="1" colspan="1">88.8 (55.5)</td><td align="left" rowspan="1" colspan="1">96.4 (51.5)</td><td align="left" rowspan="1" colspan="1">0.17</td><td align="left" rowspan="1" colspan="1">95.5 (56.2)</td><td align="left" rowspan="1" colspan="1">91.2 (57.1)</td><td align="left" rowspan="1" colspan="1">92.3 (62.2)</td><td align="left" rowspan="1" colspan="1">88.5 (56.3)</td><td align="left" rowspan="1" colspan="1">0.50</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="nt105"><p>Values are medians (IQR). Differences in dietary factors between photoaging grades were assessed using the Kruskal-Wallis test. TEI, Total energy intake.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2c"><title>Food Composition Table</title><p>Food composition was determined using the SU.VI.MAX food composition table <xref ref-type="bibr" rid="pone.0044490-Arnault1">[22]</xref> with respect to energy and MUFA. This table was compiled from existing tables, notably the French food composition table <xref ref-type="bibr" rid="pone.0044490-Favier1">[23]</xref> and recent updates <xref ref-type="bibr" rid="pone.0044490-Ireland1">[24]</xref>, the USDA National Nutrient Database <xref ref-type="bibr" rid="pone.0044490-US1">[25]</xref> and the British McCance & Widdowson’s food composition table <xref ref-type="bibr" rid="pone.0044490-MinistryofAgriculture1">[26]</xref>, as well as from original publications. In addition, vitamin E and vitamin C intake was estimated using the SU.VI.MAX food composition table. The MUFA intake from each food category for each individual was then estimated as follows. Each complex dish was first broken down into each of its constitutive simple food items (for example, pies into butter, milk…) using a recipe table validated by dietitians. Then, simple food items were grouped into food group, such as vegetable oils, dairy products, meats and processed meats.</p></sec><sec id="s2d"><title>Outcome Variable</title><p>The severity of facial skin photoaging was assessed at baseline by trained investigators using a six-grade ordinal scale, each grade being depicted by three photographs to illustrate the diversity and the range of manifestations within each grade <xref ref-type="bibr" rid="pone.0044490-Malvy1">[4]</xref>, <xref ref-type="bibr" rid="pone.0044490-Larnier1">[16]</xref>. Due to the restricted age range of our population (middle-aged individuals) grades 1 and 6 were rarely present, thus these extreme grades were grouped with grades 2 and 5, respectively. The outcome variable was thus expressed in four grades of severity (grades 1–2, 3, 4 and 5–6).</p><table-wrap id="pone-0044490-t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0044490.t003</object-id><label>Table 3</label><caption><title>Risk of photoaging according to lipid intakes.</title></caption><alternatives><graphic id="pone-0044490-t003-3" xlink:href="pone.0044490.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Fat intake</td><td align="left" rowspan="1" colspan="1">Quartile 1</td><td align="left" rowspan="1" colspan="1">Quartile 2</td><td align="left" rowspan="1" colspan="1">Quartile 3</td><td align="left" rowspan="1" colspan="1">Quartile 4</td><td align="left" rowspan="1" colspan="1">P-value<xref ref-type="table-fn" rid="nt107">*</xref></td></tr></thead><tbody><tr><td colspan="6" align="left" rowspan="1"><bold>Women (n = 1204)</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat (% TEI)</td><td align="left" rowspan="1" colspan="1"><13.9</td><td align="left" rowspan="1" colspan="1">[13.9–15.3[</td><td align="left" rowspan="1" colspan="1">[15.3–16.7[</td><td align="left" rowspan="1" colspan="1">≥16.7</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.93 (0.70–1.23)</td><td align="left" rowspan="1" colspan="1">0.86 (0.65–1.15)</td><td align="left" rowspan="1" colspan="1">0.88 (0.65–1.19)</td><td align="left" rowspan="1" colspan="1">0.37</td></tr><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat from</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Dairy (%TEI)</td><td align="left" rowspan="1" colspan="1"><3.5</td><td align="left" rowspan="1" colspan="1">[3.5–4.3[</td><td align="left" rowspan="1" colspan="1">[4.3–5.2[</td><td align="left" rowspan="1" colspan="1">≥5.2</td><td align="left" rowspan="1" colspan="1">0.12</td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.10 (0.84–1.44)</td><td align="left" rowspan="1" colspan="1">1.13 (0.84–1.51)</td><td align="left" rowspan="1" colspan="1">1.27 (0.95–1.70)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Meat (%TEI)</td><td align="left" rowspan="1" colspan="1"><0.7</td><td align="left" rowspan="1" colspan="1">[0.7–1.0[</td><td align="left" rowspan="1" colspan="1">[1.0–1.5[</td><td align="left" rowspan="1" colspan="1">≥1.5</td><td align="left" rowspan="1" colspan="1">0.17</td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.00 (0.77–1.31)</td><td align="left" rowspan="1" colspan="1">0.88 (0.67–1.16)</td><td align="left" rowspan="1" colspan="1">0.84 (0.63–1.12)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Processed meats (%TEI)</td><td align="left" rowspan="1" colspan="1"><0.6</td><td align="left" rowspan="1" colspan="1">[0.6–1.1[</td><td align="left" rowspan="1" colspan="1">[1.1–1.8[</td><td align="left" rowspan="1" colspan="1">≥1.8</td><td align="left" rowspan="1" colspan="1">0.62</td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.98 (0.74–1.29)</td><td align="left" rowspan="1" colspan="1">0.85 (0.65–1.13)</td><td align="left" rowspan="1" colspan="1">0.95 (0.71–1.26)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Vegetable oils (% TEI)</td><td align="left" rowspan="1" colspan="1"><2.7</td><td align="left" rowspan="1" colspan="1">[2.7–3.7[</td><td align="left" rowspan="1" colspan="1">[3.7–4.9[</td><td align="left" rowspan="1" colspan="1">≥4.9</td><td align="left" rowspan="1" colspan="1">0.009</td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.99 (0.75–1.32)</td><td align="left" rowspan="1" colspan="1">0.92 (0.67–1.25)</td><td align="left" rowspan="1" colspan="1">0.63 (0.44–0.90)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Olive oil (g/day)</td><td align="left" rowspan="1" colspan="1"><3.8</td><td align="left" rowspan="1" colspan="1">[3.8–5.8[</td><td align="left" rowspan="1" colspan="1">[5.8–8.4[</td><td align="left" rowspan="1" colspan="1">≥8.4</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.87 (0.66–1.15)</td><td align="left" rowspan="1" colspan="1">0.89 (0.65–1.20)</td><td align="left" rowspan="1" colspan="1">0.69 (0.50–0.95)</td><td align="left" rowspan="1" colspan="1">0.03</td></tr><tr><td align="left" rowspan="1" colspan="1">Peanut oil (g/day)</td><td align="left" rowspan="1" colspan="1"><1.0</td><td align="left" rowspan="1" colspan="1">[1.0–1.7[</td><td align="left" rowspan="1" colspan="1">[1.7–2.7[</td><td align="left" rowspan="1" colspan="1">≥2.7</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.02 (0.77–1.34)</td><td align="left" rowspan="1" colspan="1">0.91 (0.67–1.24)</td><td align="left" rowspan="1" colspan="1">0.94 (0.69–1.27)</td><td align="left" rowspan="1" colspan="1">0.59</td></tr><tr><td align="left" rowspan="1" colspan="1">Sunflower oil (g/day)</td><td align="left" rowspan="1" colspan="1"><3.2</td><td align="left" rowspan="1" colspan="1">[3.2–4.9[</td><td align="left" rowspan="1" colspan="1">[4.9–7.3[</td><td align="left" rowspan="1" colspan="1">≥7.3</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.19 (0.90–1.57)</td><td align="left" rowspan="1" colspan="1">1.12 (0.82–1.52)</td><td align="left" rowspan="1" colspan="1">1.13 (0.79–1.61)</td><td align="left" rowspan="1" colspan="1">0.67</td></tr><tr><td colspan="6" align="left" rowspan="1"><bold>Men (n = 1566)</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat (% TEI)</td><td align="left" rowspan="1" colspan="1"><13.2</td><td align="left" rowspan="1" colspan="1">[13.2–14.6[</td><td align="left" rowspan="1" colspan="1">[14.6–16.0[</td><td align="left" rowspan="1" colspan="1">≥16.0</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.89 (0.69–1.16)</td><td align="left" rowspan="1" colspan="1">0.76 (0.58–0.99)</td><td align="left" rowspan="1" colspan="1">0.76 (0.57–1.00)</td><td align="left" rowspan="1" colspan="1">0.03</td></tr><tr><td align="left" rowspan="1" colspan="1">Monounsaturated fat from</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Dairy (%TEI)</td><td align="left" rowspan="1" colspan="1"><3.2</td><td align="left" rowspan="1" colspan="1">[3.2–4.0[</td><td align="left" rowspan="1" colspan="1">[4.0–4.8[</td><td align="left" rowspan="1" colspan="1">≥4.8</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.87 (0.67–1.13)</td><td align="left" rowspan="1" colspan="1">1.10 (0.85–1.42)</td><td align="left" rowspan="1" colspan="1">1.09 (0.84–1.42)</td><td align="left" rowspan="1" colspan="1">0.28</td></tr><tr><td align="left" rowspan="1" colspan="1">Meat (%TEI)</td><td align="left" rowspan="1" colspan="1"><0.7</td><td align="left" rowspan="1" colspan="1">[0.7–1.1[</td><td align="left" rowspan="1" colspan="1">[1.1–1.6[</td><td align="left" rowspan="1" colspan="1">≥1.6</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.16 (0.90–1.48)</td><td align="left" rowspan="1" colspan="1">0.99 (0.77–1.28)</td><td align="left" rowspan="1" colspan="1">1.00 (0.77–1.30)</td><td align="left" rowspan="1" colspan="1">0.76</td></tr><tr><td align="left" rowspan="1" colspan="1">Processed meats (%TEI)</td><td align="left" rowspan="1" colspan="1"><0.8</td><td align="left" rowspan="1" colspan="1">[0.8–1.4[</td><td align="left" rowspan="1" colspan="1">[1.4–2.3[</td><td align="left" rowspan="1" colspan="1">≥2.3</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.04 (0.81–1.33)</td><td align="left" rowspan="1" colspan="1">0.98 (0.75–1.27)</td><td align="left" rowspan="1" colspan="1">1.09 (0.83–1.44)</td><td align="left" rowspan="1" colspan="1">0.62</td></tr><tr><td align="left" rowspan="1" colspan="1">Vegetable oils (% TEI)</td><td align="left" rowspan="1" colspan="1"><2.4</td><td align="left" rowspan="1" colspan="1">[2.4–3.3[</td><td align="left" rowspan="1" colspan="1">[3.3–4.4[</td><td align="left" rowspan="1" colspan="1">≥4.4</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt109">‡</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.71 (0.54–0.92)</td><td align="left" rowspan="1" colspan="1">0.61 (0.46–0.81)</td><td align="left" rowspan="1" colspan="1">0.55 (0.40–0.76)</td><td align="left" rowspan="1" colspan="1">0.0004</td></tr><tr><td align="left" rowspan="1" colspan="1">Olive oil (g/day)</td><td align="left" rowspan="1" colspan="1"><4.7</td><td align="left" rowspan="1" colspan="1">[4.7–7.1[</td><td align="left" rowspan="1" colspan="1">[7.1–10.0[</td><td align="left" rowspan="1" colspan="1">≥10.0</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.84 (0.64–1.09)</td><td align="left" rowspan="1" colspan="1">0.81 (0.62–1.06)</td><td align="left" rowspan="1" colspan="1">0.58 (0.43–0.77)</td><td align="left" rowspan="1" colspan="1">0.0002</td></tr><tr><td align="left" rowspan="1" colspan="1">Peanut oil (g/day)</td><td align="left" rowspan="1" colspan="1"><1.4</td><td align="left" rowspan="1" colspan="1">[1.4–2.2[</td><td align="left" rowspan="1" colspan="1">[2.2–3.3[</td><td align="left" rowspan="1" colspan="1">≥3.3</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">1.10 (0.85–1.42)</td><td align="left" rowspan="1" colspan="1">0.85 (0.66–1.11)</td><td align="left" rowspan="1" colspan="1">0.80 (0.61–1.06)</td><td align="left" rowspan="1" colspan="1">0.09</td></tr><tr><td align="left" rowspan="1" colspan="1">Sunflower oil (g/day)</td><td align="left" rowspan="1" colspan="1"><4.0</td><td align="left" rowspan="1" colspan="1">[4.0–6.1[</td><td align="left" rowspan="1" colspan="1">[6.1–8.7[</td><td align="left" rowspan="1" colspan="1">≥8.7</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">AOR [95% CI]<xref ref-type="table-fn" rid="nt108">†</xref></td><td align="left" rowspan="1" colspan="1">1.00 (ref)</td><td align="left" rowspan="1" colspan="1">0.84 (0.65–1.09)</td><td align="left" rowspan="1" colspan="1">0.92 (0.70–1.21)</td><td align="left" rowspan="1" colspan="1">0.95 (0.68–1.33)</td><td align="left" rowspan="1" colspan="1">0.99</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="nt106"><p>TEI, Total energy intake,</p></fn><fn id="nt107"><label>*</label><p>Probability of Wald test for linear trend.</p></fn><fn id="nt108"><label>†</label><p>AOR [95% CI]: Adjusted odds ratio and 95% confidence interval adjusted for age, educational level, smoking status, overall physical activity, body mass index, hormonal status, lifetime sun exposure, phototype, geographic location, vitamin E and C intakes and energy.</p></fn><fn id="nt109"><label>‡</label><p>Adjusted for the same covariates plus total monounsaturated fat intake (%TEI).</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2e"><title>Covariates</title><p>Data on age, geographical location (postcode), smoking habits (never, former, current), physical activity (irregular, less than 1h of walking per day, more than one hour of walking per day), educational level (primary school, secondary school or higher education), and hormonal status (non-menopausal, menopausal with use of menopausal hormone therapy, menopausal without use of menopausal hormone therapy) were collected through a self-administrated questionnaire at inclusion. Height and weight were measured using standardised procedures in subjects wearing undergarments. Body mass index (BMI) was calculated as weight (in kilograms) divided by height (in meters, squared), and categorized into three groups: <25 kg/m<sup>2</sup>, 25–30 kg/m<sup>2</sup>, ≥30 kg/m<sup>2</sup>. For geographical location, France was arbitrarily divided into North and South areas using the northern frontier of Aquitaine, Limousin, Auvergne, and Rhône-Alpes regions. In addition, skin phototype was determined at baseline according to the classification proposed by Césarini: I, II, IIIa, IIIb, IV, V, VI <xref ref-type="bibr" rid="pone.0044490-Cesarini1">[27]</xref>. Levels I and VI, which were rare in our population, have been grouped with levels II and V respectively. In addition, lifetime sun exposure was collected using the following question: “How would you describe the intensity of your skin’s exposure to the sun during your lifetime?” none/mild, moderate, or severe <xref ref-type="bibr" rid="pone.0044490-Ezzedine1">[28]</xref>, <xref ref-type="bibr" rid="pone.0044490-Guinot1">[29]</xref>.</p><p>For the present analysis, we included 1264 women and 1655 men aged between 45 and 60 years old, from both placebo and intervention groups, with data for dietary intake and skin photodamage (<xref ref-type="fig" rid="pone-0044490-g001">Fig. 1</xref>).</p></sec><sec id="s2f"><title>Statistical Analyses</title><p>Separate analyses were conducted for each sex. First, nutrient density was calculated by expressing MUFA as a percentage of total energy intake (TEI) and this nutrient density was then categorized into quartiles. Individual MUFA densities from the main food sources and the intake of the three most frequently consumed oils containing large amounts of MUFA were similarly categorized into quartiles.</p><p>Due to the ordinal nature of the outcome variable <xref ref-type="bibr" rid="pone.0044490-Peterson1">[30]</xref>, a partial proportional odds model (PPOM) was used to study the relationship between photoaging and MUFA density independent of total energy intake <xref ref-type="bibr" rid="pone.0044490-Willett1">[31]</xref>. The model was adjusted for total energy intake, vitamin E and vitamin C intake, age, and other possible confounders (covariates). Results are expressed as estimated odds ratios (ORs) with their 95% confidence intervals (95% CI) for each quartile with respect to the first quartile as the reference. In addition, a trend for linearity was tested by assigning each subject the median value of their quartile, this value being modeled as a continuous variable. In addition, to study the contributions of specific sources of MUFA independent of total MUFA intake, similar models were performed with respect to the dietary origin of MUFA adjusted on the same covariates, as well as for total MUFA density. Finally, associations between the severity of photoaging and the three most consumed oils (olive oil, sunflower oil and peanut oil) were investigated using the same methods.</p><p>All tests were two-sided and type I error was set at P<0.05. Statistical analyses were carried out using SAS® software release 9.1.3 (SAS Institute, Cary, NC, USA).</p></sec></sec><sec id="s3"><title>Results</title><p>The distribution of the women and men enrolled according to photoaging severity and by demographic, medical and behavioral variables is presented in <xref ref-type="table" rid="pone-0044490-t001">Table 1</xref>. As expected, the severity of skin photoaging was strongly linked to age in both sexes, with non-menopausal women presented less severe photoaging. In men, a higher severity of skin photoaging was associated with a lower education level, a higher phototype and a higher latitude (North of France). In both sexes, daily intakes of MUFA were lower among the most severe grades of photoaging than among the lowest grades of photoaging (<xref ref-type="table" rid="pone-0044490-t002">Table 2</xref>). Similar associations were found for intake of MUFA from vegetable oils and olive oil.</p><p>After adjustment for possible cofounders, a significant association was found in men between severity of photoaging and dietary intake of MUFA (<xref ref-type="table" rid="pone-0044490-t003">Table 3</xref>). Higher intake of MUFA was associated with a lower risk of severe photoaging (highest <italic>vs</italic> lowest quartile of MUFA: AOR = 0.76, 95%CI (0.57–1.00), p<sub> = </sub>0.03). For both sexes, a higher consumption of MUFA provided by vegetable oils was found to be associated with a lower risk of severe photoaging (for women: 0.63 (0.44–0.90), p = 0.01; for men: 0.55 (0.40–0.76), p = 0.0004). No association was found with MUFA intake from dairy products, meats and processed meats. Finally, of the three most frequently consumed oils (sunflower, olive and peanut oil), a significant association was found for olive oil. A higher intake of olive oil was significantly associated with a lower risk of severe photoaging (for women: 0.69 (0.50–0.95), p = 0.03; for men: 0.58 (0.43–0.77), p = 0.0002). In our population, olive oil was the main source of vegetable oil MUFA (59% and 51%, respectively), whereas sunflower and peanut oils provided only 15% and 13% of vegetable oil MUFA.</p></sec><sec id="s4"><title>Discussion</title><p>In this study we report a significant association between total intake of MUFA and skin photoaging in men but not in women. When the individual contribution of each source of MUFA was considered, higher intakes of MUFA from vegetable oil were however found to be negatively associated with severe skin photoaging independently of environmental factors known to cause premature and accelerated skin aging in both sexes, whereas intake of MUFA from animal products (dairy products, meat and processed meats) was not significantly associated with skin photoaging. In particular, a higher consumption of olive oil was inversely correlated with the severity of skin photoaging. Olive oil was the only one of the three vegetable oil sources of MUFA usually consumed in our study population (olive oil, sunflower oil and peanut oil) to present such a protective effect. These findings are consistent with previous studies which have addressed individual aspects of this relationship <xref ref-type="bibr" rid="pone.0044490-Cosgrove1">[32]</xref>–<xref ref-type="bibr" rid="pone.0044490-Nagata1">[34]</xref>. Hence, Purba et al. <xref ref-type="bibr" rid="pone.0044490-Purba1">[33]</xref> reported a negative association between total MUFA intake, olive oil intake and skin aging, whereas Nagata et al. <xref ref-type="bibr" rid="pone.0044490-Nagata1">[34]</xref> found a positive association between MUFA intake and skin elasticity. In contrast, another study did not find any association between oleic acid consumption and wrinkled appearance and even reported a higher risk of senile dryness in higher consumers <xref ref-type="bibr" rid="pone.0044490-Cosgrove1">[32]</xref>. However, in these two last studies, fatty acids were considered as a whole, without taking into account their specific origin.</p><p>The observed negative association between olive oil intake and severe photoaging may be due to its specific fatty acid profile with a high amount of MUFA and a low ratio of n-6 PUFA/n-3 PUFA <xref ref-type="bibr" rid="pone.0044490-Owen1">[35]</xref>, <xref ref-type="bibr" rid="pone.0044490-Viola1">[36]</xref>. Indeed, MUFA is far less susceptible to peroxidation than PUFA. In contrast to olive oil, we did not find dairy products to be negatively associated with skin photodamage although they provide comparably high amounts of MUFA to olive oil. However, dairy products are also a rich source of saturated fatty acids, which are known to be associated with insulin resistance and an increase of inflammatory processes <xref ref-type="bibr" rid="pone.0044490-Riccardi1">[37]</xref>. Another hypothesis would be that squalene and polyphenols contained in olive oils may play a role in preventing photodamage <xref ref-type="bibr" rid="pone.0044490-Owen1">[35]</xref>, <xref ref-type="bibr" rid="pone.0044490-Viola1">[36]</xref>. Squalene is to a large extent sequestered in the skin (sebum is reported to contain 12%), where it is believed to exert a major protective effect against free radical damage and skin dryness <xref ref-type="bibr" rid="pone.0044490-Viola1">[36]</xref>. Polyphenols are also known to be powerful radical scavengers. Both squalene and polyphenols have been assumed to be primarily responsible for the beneficial effects of the Mediterranean diet. Finally, as expected, the consumption of olive oil in our population was also positively associated with high consumption of fruits, vegetables, fish and tea, and negatively associated with sweet products, butter and milk. In that sense, the consumption of olive oil could also be considered as a marker of a healthy diet <xref ref-type="bibr" rid="pone.0044490-Willett2">[38]</xref>.</p><p>Our study has both strengths and limitations. The strengths encompass the assessment of dietary intake based on a mean of ten computerized 24-hour diet records in order to take into account weekly and seasonal intra-individual variability in the intake of the monounsaturated fatty acids, which may be considerable <xref ref-type="bibr" rid="pone.0044490-Mennen1">[21]</xref>. Furthermore, a validated manual containing a photographic guide was provided to each subject in order to facilitate estimation of portion size among seven proposed portion sizes <xref ref-type="bibr" rid="pone.0044490-LeMoullec1">[19]</xref>. Our study was also a well-characterized sample of middle-aged women and men living in the community evaluated. Finally, due to the number of statistical tests performed, we cannot exclude that some significant associations found may be due to chance, in spite of the overall coherence between findings in men and in women. Moreover, the cross-sectional design of our study does not allow us to address the causality of the associations observed.</p><p>In conclusion, our findings provide support for a beneficial role of olive oil in preventing severe facial photoaging. This result should be supported by further mechanistic studies taking into account the relationship between a diet rich in MUFA, subcutaneous fat and the overall aging process, of which skin photodamage may be a readily observable surrogate marker. Finally, our findings provide a useful insight into the beneficial effect of olive oil, as the main source of dietary fat, as promoted in a diversified diet, although the only way to demonstrate that olive oil can prevent photodamage is to perform an interventional study.</p></sec></body><back><ack><p>The authors gratefully acknowledge the dedicated efforts of all the SU.VI.MAX volunteers, the investigators, and the staff members involved in this study. We especially thank Nathalie Arnault and Gwenael Monot who coordinated the data management. 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