Factors influencing blood concentration of retinol, α-tocopherol, vitamin C, and β-carotene in the French participants of the SU.VI.MAX trial View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-06

AUTHORS

H Faure, P Preziosi, A-M Roussel, S Bertrais, P Galan, S Hercberg, A Favier

ABSTRACT

OBJECTIVES: The data was collected during the inclusion step of the SUpplémentation en VItamines et Minéraux AntioXydants (SU.VI.MAX) study. This article deals with the study's first stage before any supplementation. The collected data shows factors influencing blood vitamin concentrations and may reflect the vitamin status of volunteers. MATERIAL AND METHODS: A total of 12,741 volunteers were enrolled in the SU.VI.MAX study 7,713 women 35-60 years of age and 5,028 men 50-60 years of age. The serum concentrations of retinol, alpha-tocopherol, and beta-carotene were measured by HPLC, and vitamin C concentration was measured by spectrofluorimetry using a Technicon continuous flow analysis apparatus. The volunteers recorded their 24 h diet by means of a specific terminal that was connected to the main central computer of the SU.VI.MAX study. Volunteers recorded the food they consumed daily and estimated its quantity by comparing pictures of dishes. RESULTS: Retinol concentration was significantly higher in older volunteers, and was higher in male than in female volunteers. Smoking had no effect on serum retinol, but the latter was higher in the autumn than in the winter. Serum retinol concentrations were higher in the Southwest region and lower in the Ile-de-France and East-Centre regions. Serum alpha-tocopherol was slightly higher in older volunteers and also higher in male volunteers. Serum alpha-tocopherol was significantly lower in smokers, and former smokers showed intermediate levels. Like retinol, serum alpha-tocopherol was higher in the autumn, and higher in the Southwest as compared to the East-Centre Serum beta-carotene was slightly higher in younger volunteers, and concentrations were higher in female than in male volunteers. Tobacco smoking decreased serum beta-carotene, which was higher in the autumn, and higher in the East, West, and North regions. Serum vitamin C was higher in female volunteers, and was not age related. Serum vitamin C was lower in smokers, was season-dependant, but contrary to fat-soluble vitamins, concentrations were higher in the winter and spring. Serum vitamin C was higher in the Southeast and East-Centre, but lower in the North region. CONCLUSION: These results suggest that serum retinol concentrations depend on gender, age, seasons, and location of residence. Similarly, serum alpha-tocopherol concentrations were slightly influenced by age, but more by tobacco smoking, seasons, dietary intake, and location of residence. Serum concentrations of beta-carotene depend on gender, age, smoking status, dietary intake, and location of residence. Serum vitamin C concentrations depend on gender, age, smoking status, seasons, dietary intake, and location of residence. Contrary to beta-carotene, retinol concentrations were higher in male than in female volunteers. Such a reversed relation suggests a higher beta-carotene-retinol conversion in male volunteers. More... »

PAGES

706

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602372

DOI

http://dx.doi.org/10.1038/sj.ejcn.1602372

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025490705

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16391586


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Analysis of Variance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antioxidants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ascorbic Acid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, High Pressure Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Demography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diet", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diet Records", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutritional Status", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Smoking", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vitamin A", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "alpha-Tocopherol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "beta Carotene", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Paris-Sud", 
          "id": "https://www.grid.ac/institutes/grid.5842.b", 
          "name": [
            "D\u00e9partement de Biologie Int\u00e9gr\u00e9e B\u00e2timent B, CHU La Tronche BP, Grenoble Cedex 9, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Faure", 
        "givenName": "H", 
        "id": "sg:person.014145761666.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014145761666.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et M\u00e9tiers 5, rue Vertbois, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Preziosi", 
        "givenName": "P", 
        "id": "sg:person.0750230132.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750230132.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "NVMC, Laboratory de Biochimie, UFR de m\u00e9decine-pharmacie, Av. des maquis du Gr\u00e9sivaudan, La Tronche, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roussel", 
        "givenName": "A-M", 
        "id": "sg:person.01072545527.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072545527.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et M\u00e9tiers 5, rue Vertbois, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bertrais", 
        "givenName": "S", 
        "id": "sg:person.0657600466.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657600466.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et M\u00e9tiers 5, rue Vertbois, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Galan", 
        "givenName": "P", 
        "id": "sg:person.01000437634.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000437634.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et M\u00e9tiers 5, rue Vertbois, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hercberg", 
        "givenName": "S", 
        "id": "sg:person.01042142266.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042142266.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Paris-Sud", 
          "id": "https://www.grid.ac/institutes/grid.5842.b", 
          "name": [
            "D\u00e9partement de Biologie Int\u00e9gr\u00e9e B\u00e2timent B, CHU La Tronche BP, Grenoble Cedex 9, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Favier", 
        "givenName": "A", 
        "id": "sg:person.01034147144.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034147144.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1177/000456328602300505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004302897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/000456328602300505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004302897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn2000248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007118223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0029665199000610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008376063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn2002751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011406149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4347(00)83313-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013614176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.164.21.2335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024538355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000177895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031289945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.159.7.748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033161501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.1975.tb29302.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034637686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn19960143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037887349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn19960143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037887349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0278-6915(99)00078-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038088257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.47.6.825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042161770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0197-2456(98)00015-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042540944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-4347(91)80476-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049225321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1024/0300-9831.71.2.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056317725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.314.7081.634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062778895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.314.7081.634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062778895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074504793", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/71.4.878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074609576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/73.3.586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074779919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/132.9.2895s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075120311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/77.2.458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075222102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/134.1.290s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076620038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/79.2.218", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076631430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/49.1.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079450939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/47.3.470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079697866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a114072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1080082634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082499122", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082519855", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/60.1.106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082611255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/59.4.891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082673315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/57.4.551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082815780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/63.4.559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082875454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082913863", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082929836", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082968614", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083004663", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083028405", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/67.2.231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083209552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083227279", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511615191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098666202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/9781482277562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109726552"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-06", 
    "datePublishedReg": "2006-06-01", 
    "description": "OBJECTIVES: The data was collected during the inclusion step of the SUppl\u00e9mentation en VItamines et Min\u00e9raux AntioXydants (SU.VI.MAX) study. This article deals with the study's first stage before any supplementation. The collected data shows factors influencing blood vitamin concentrations and may reflect the vitamin status of volunteers.\nMATERIAL AND METHODS: A total of 12,741 volunteers were enrolled in the SU.VI.MAX study 7,713 women 35-60 years of age and 5,028 men 50-60 years of age. The serum concentrations of retinol, alpha-tocopherol, and beta-carotene were measured by HPLC, and vitamin C concentration was measured by spectrofluorimetry using a Technicon continuous flow analysis apparatus. The volunteers recorded their 24 h diet by means of a specific terminal that was connected to the main central computer of the SU.VI.MAX study. Volunteers recorded the food they consumed daily and estimated its quantity by comparing pictures of dishes.\nRESULTS: Retinol concentration was significantly higher in older volunteers, and was higher in male than in female volunteers. Smoking had no effect on serum retinol, but the latter was higher in the autumn than in the winter. Serum retinol concentrations were higher in the Southwest region and lower in the Ile-de-France and East-Centre regions. Serum alpha-tocopherol was slightly higher in older volunteers and also higher in male volunteers. Serum alpha-tocopherol was significantly lower in smokers, and former smokers showed intermediate levels. Like retinol, serum alpha-tocopherol was higher in the autumn, and higher in the Southwest as compared to the East-Centre Serum beta-carotene was slightly higher in younger volunteers, and concentrations were higher in female than in male volunteers. Tobacco smoking decreased serum beta-carotene, which was higher in the autumn, and higher in the East, West, and North regions. Serum vitamin C was higher in female volunteers, and was not age related. Serum vitamin C was lower in smokers, was season-dependant, but contrary to fat-soluble vitamins, concentrations were higher in the winter and spring. Serum vitamin C was higher in the Southeast and East-Centre, but lower in the North region.\nCONCLUSION: These results suggest that serum retinol concentrations depend on gender, age, seasons, and location of residence. Similarly, serum alpha-tocopherol concentrations were slightly influenced by age, but more by tobacco smoking, seasons, dietary intake, and location of residence. Serum concentrations of beta-carotene depend on gender, age, smoking status, dietary intake, and location of residence. Serum vitamin C concentrations depend on gender, age, smoking status, seasons, dietary intake, and location of residence. Contrary to beta-carotene, retinol concentrations were higher in male than in female volunteers. Such a reversed relation suggests a higher beta-carotene-retinol conversion in male volunteers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.ejcn.1602372", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1097936", 
        "issn": [
          "0954-3007", 
          "1476-5640"
        ], 
        "name": "European Journal of Clinical Nutrition", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "60"
      }
    ], 
    "name": "Factors influencing blood concentration of retinol, \u03b1-tocopherol, vitamin C, and \u03b2-carotene in the French participants of the SU.VI.MAX trial", 
    "pagination": "706", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "797084d1d52db8276c0eedbce63d34152125009116c5d973a7333e08ba5aa0ec"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16391586"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8804070"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.ejcn.1602372"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1025490705"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.ejcn.1602372", 
      "https://app.dimensions.ai/details/publication/pub.1025490705"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29215_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/1602372"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602372'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602372'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602372'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.ejcn.1602372'


 

This table displays all metadata directly associated to this object as RDF triples.

319 TRIPLES      21 PREDICATES      91 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.ejcn.1602372 schema:about N0437732072844208abc68d83845eee1c
2 N0809ab5a66244a0c885c35b97f19d952
3 N1105da06d321426da2381f9171bd2952
4 N18679e0d6f814e329a42ddb5d3652229
5 N351a0400349c4892ba7051d20d7574e6
6 N3e0d182a2f7547e5aa2527b035773303
7 N46428a473fd8462191468414a0c4b26a
8 N502e8e23027243519b96f43694e0254c
9 N54cfc61ea3c2416dac045a3a816e7932
10 N6b7d354cda3f4ffe9635e4b2a7c79f8c
11 N85b4b17e14ca494391668e6ccc2b3861
12 N8cd8a3f4fc0642a1be5dfa41591464ca
13 N8e8cc6c71f344d1a8586a32cf8c94934
14 Na1b0fc93a23c40aab0e47ebfad5e9232
15 Nb4ab8a852de54c8baad4269724c080b3
16 Nb6461ef9df704c7e8e5e97d54a3e33de
17 Nb9c8d5833b6145c1aa044e251c8a1e28
18 Nc61d9c05fe0c4bf0a650f79b42346170
19 Ncd7bb81d19e54eac8981de9c295398f2
20 Neda3833dacec4f07a4fbf8c599625dca
21 Nfca54e992554444a88edb2f52c842817
22 anzsrc-for:11
23 anzsrc-for:1117
24 schema:author N29a7defde4154df8993aeefa96538a8f
25 schema:citation https://app.dimensions.ai/details/publication/pub.1074504793
26 https://app.dimensions.ai/details/publication/pub.1082499122
27 https://app.dimensions.ai/details/publication/pub.1082519855
28 https://app.dimensions.ai/details/publication/pub.1082913863
29 https://app.dimensions.ai/details/publication/pub.1082929836
30 https://app.dimensions.ai/details/publication/pub.1082968614
31 https://app.dimensions.ai/details/publication/pub.1083004663
32 https://app.dimensions.ai/details/publication/pub.1083028405
33 https://app.dimensions.ai/details/publication/pub.1083227279
34 https://doi.org/10.1001/archinte.159.7.748
35 https://doi.org/10.1001/archinte.164.21.2335
36 https://doi.org/10.1016/0378-4347(91)80476-s
37 https://doi.org/10.1016/s0197-2456(98)00015-4
38 https://doi.org/10.1016/s0278-6915(99)00078-2
39 https://doi.org/10.1016/s0378-4347(00)83313-7
40 https://doi.org/10.1017/cbo9780511615191
41 https://doi.org/10.1017/s0029665199000610
42 https://doi.org/10.1024/0300-9831.71.2.111
43 https://doi.org/10.1079/bjn19960143
44 https://doi.org/10.1079/bjn2000248
45 https://doi.org/10.1079/bjn2002751
46 https://doi.org/10.1093/ajcn/47.3.470
47 https://doi.org/10.1093/ajcn/49.1.112
48 https://doi.org/10.1093/ajcn/57.4.551
49 https://doi.org/10.1093/ajcn/59.4.891
50 https://doi.org/10.1093/ajcn/60.1.106
51 https://doi.org/10.1093/ajcn/63.4.559
52 https://doi.org/10.1093/ajcn/67.2.231
53 https://doi.org/10.1093/ajcn/71.4.878
54 https://doi.org/10.1093/ajcn/73.3.586
55 https://doi.org/10.1093/ajcn/77.2.458
56 https://doi.org/10.1093/ajcn/79.2.218
57 https://doi.org/10.1093/jn/132.9.2895s
58 https://doi.org/10.1093/jn/134.1.290s
59 https://doi.org/10.1093/oxfordjournals.aje.a114072
60 https://doi.org/10.1111/j.1749-6632.1975.tb29302.x
61 https://doi.org/10.1136/bmj.314.7081.634
62 https://doi.org/10.1136/gut.47.6.825
63 https://doi.org/10.1159/000177895
64 https://doi.org/10.1177/000456328602300505
65 https://doi.org/10.1201/9781482277562
66 schema:datePublished 2006-06
67 schema:datePublishedReg 2006-06-01
68 schema:description OBJECTIVES: The data was collected during the inclusion step of the SUpplémentation en VItamines et Minéraux AntioXydants (SU.VI.MAX) study. This article deals with the study's first stage before any supplementation. The collected data shows factors influencing blood vitamin concentrations and may reflect the vitamin status of volunteers. MATERIAL AND METHODS: A total of 12,741 volunteers were enrolled in the SU.VI.MAX study 7,713 women 35-60 years of age and 5,028 men 50-60 years of age. The serum concentrations of retinol, alpha-tocopherol, and beta-carotene were measured by HPLC, and vitamin C concentration was measured by spectrofluorimetry using a Technicon continuous flow analysis apparatus. The volunteers recorded their 24 h diet by means of a specific terminal that was connected to the main central computer of the SU.VI.MAX study. Volunteers recorded the food they consumed daily and estimated its quantity by comparing pictures of dishes. RESULTS: Retinol concentration was significantly higher in older volunteers, and was higher in male than in female volunteers. Smoking had no effect on serum retinol, but the latter was higher in the autumn than in the winter. Serum retinol concentrations were higher in the Southwest region and lower in the Ile-de-France and East-Centre regions. Serum alpha-tocopherol was slightly higher in older volunteers and also higher in male volunteers. Serum alpha-tocopherol was significantly lower in smokers, and former smokers showed intermediate levels. Like retinol, serum alpha-tocopherol was higher in the autumn, and higher in the Southwest as compared to the East-Centre Serum beta-carotene was slightly higher in younger volunteers, and concentrations were higher in female than in male volunteers. Tobacco smoking decreased serum beta-carotene, which was higher in the autumn, and higher in the East, West, and North regions. Serum vitamin C was higher in female volunteers, and was not age related. Serum vitamin C was lower in smokers, was season-dependant, but contrary to fat-soluble vitamins, concentrations were higher in the winter and spring. Serum vitamin C was higher in the Southeast and East-Centre, but lower in the North region. CONCLUSION: These results suggest that serum retinol concentrations depend on gender, age, seasons, and location of residence. Similarly, serum alpha-tocopherol concentrations were slightly influenced by age, but more by tobacco smoking, seasons, dietary intake, and location of residence. Serum concentrations of beta-carotene depend on gender, age, smoking status, dietary intake, and location of residence. Serum vitamin C concentrations depend on gender, age, smoking status, seasons, dietary intake, and location of residence. Contrary to beta-carotene, retinol concentrations were higher in male than in female volunteers. Such a reversed relation suggests a higher beta-carotene-retinol conversion in male volunteers.
69 schema:genre research_article
70 schema:inLanguage en
71 schema:isAccessibleForFree true
72 schema:isPartOf N382043b6a69c440f9f9f9656b24208b2
73 Ne2bc92d122134dff80d1405e8e21d50e
74 sg:journal.1097936
75 schema:name Factors influencing blood concentration of retinol, α-tocopherol, vitamin C, and β-carotene in the French participants of the SU.VI.MAX trial
76 schema:pagination 706
77 schema:productId N6b6128afd5a541168f7322b1adf7d04a
78 N81247b6081024b3497be3a470fecc2e3
79 N843bd2346aef4f45985a0df68c9b9451
80 Nc605125b46e942f28b231dbc7b2c4c9c
81 Ne7ae0f986bf04aeea574fa39abc9ff68
82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025490705
83 https://doi.org/10.1038/sj.ejcn.1602372
84 schema:sdDatePublished 2019-04-11T11:56
85 schema:sdLicense https://scigraph.springernature.com/explorer/license/
86 schema:sdPublisher N9f66668053cc4919b6ebaf933e4cce58
87 schema:url https://www.nature.com/articles/1602372
88 sgo:license sg:explorer/license/
89 sgo:sdDataset articles
90 rdf:type schema:ScholarlyArticle
91 N00eb5c9705bb4007b0b1fa4150b0380f rdf:first sg:person.01072545527.59
92 rdf:rest N0c71630c293c4b618017f05dd950737a
93 N0437732072844208abc68d83845eee1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Humans
95 rdf:type schema:DefinedTerm
96 N071c06f1a99446ba9e8e12226451b71f schema:name U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et Métiers 5, rue Vertbois, Paris, France
97 rdf:type schema:Organization
98 N0809ab5a66244a0c885c35b97f19d952 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Analysis of Variance
100 rdf:type schema:DefinedTerm
101 N0c71630c293c4b618017f05dd950737a rdf:first sg:person.0657600466.69
102 rdf:rest N5de341d3878946a0b561816f1c89a6fd
103 N1105da06d321426da2381f9171bd2952 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name alpha-Tocopherol
105 rdf:type schema:DefinedTerm
106 N18679e0d6f814e329a42ddb5d3652229 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Nutritional Status
108 rdf:type schema:DefinedTerm
109 N29a7defde4154df8993aeefa96538a8f rdf:first sg:person.014145761666.89
110 rdf:rest N4daa7ccbd4664bf4a1faf1a2d40ad831
111 N351a0400349c4892ba7051d20d7574e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Sex Factors
113 rdf:type schema:DefinedTerm
114 N382043b6a69c440f9f9f9656b24208b2 schema:issueNumber 6
115 rdf:type schema:PublicationIssue
116 N3e0d182a2f7547e5aa2527b035773303 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Diet
118 rdf:type schema:DefinedTerm
119 N46428a473fd8462191468414a0c4b26a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name beta Carotene
121 rdf:type schema:DefinedTerm
122 N4a206d5741f04916a55e122bcc827e04 rdf:first sg:person.01034147144.08
123 rdf:rest rdf:nil
124 N4daa7ccbd4664bf4a1faf1a2d40ad831 rdf:first sg:person.0750230132.04
125 rdf:rest N00eb5c9705bb4007b0b1fa4150b0380f
126 N502e8e23027243519b96f43694e0254c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Female
128 rdf:type schema:DefinedTerm
129 N54cfc61ea3c2416dac045a3a816e7932 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name France
131 rdf:type schema:DefinedTerm
132 N5de341d3878946a0b561816f1c89a6fd rdf:first sg:person.01000437634.10
133 rdf:rest N732a885086254f8496df553a20fc6985
134 N5e7019176e154cc7a089844bd1e8e719 schema:name U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et Métiers 5, rue Vertbois, Paris, France
135 rdf:type schema:Organization
136 N6b6128afd5a541168f7322b1adf7d04a schema:name dimensions_id
137 schema:value pub.1025490705
138 rdf:type schema:PropertyValue
139 N6b7d354cda3f4ffe9635e4b2a7c79f8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Middle Aged
141 rdf:type schema:DefinedTerm
142 N732a885086254f8496df553a20fc6985 rdf:first sg:person.01042142266.65
143 rdf:rest N4a206d5741f04916a55e122bcc827e04
144 N81247b6081024b3497be3a470fecc2e3 schema:name pubmed_id
145 schema:value 16391586
146 rdf:type schema:PropertyValue
147 N843bd2346aef4f45985a0df68c9b9451 schema:name readcube_id
148 schema:value 797084d1d52db8276c0eedbce63d34152125009116c5d973a7333e08ba5aa0ec
149 rdf:type schema:PropertyValue
150 N85b4b17e14ca494391668e6ccc2b3861 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Antioxidants
152 rdf:type schema:DefinedTerm
153 N8cd8a3f4fc0642a1be5dfa41591464ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Vitamin A
155 rdf:type schema:DefinedTerm
156 N8e8cc6c71f344d1a8586a32cf8c94934 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Ascorbic Acid
158 rdf:type schema:DefinedTerm
159 N9f66668053cc4919b6ebaf933e4cce58 schema:name Springer Nature - SN SciGraph project
160 rdf:type schema:Organization
161 Na1b0fc93a23c40aab0e47ebfad5e9232 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Male
163 rdf:type schema:DefinedTerm
164 Na66de58a629f4f4a806553f517878c12 schema:name U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et Métiers 5, rue Vertbois, Paris, France
165 rdf:type schema:Organization
166 Nb4ab8a852de54c8baad4269724c080b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Chromatography, High Pressure Liquid
168 rdf:type schema:DefinedTerm
169 Nb6461ef9df704c7e8e5e97d54a3e33de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Age Factors
171 rdf:type schema:DefinedTerm
172 Nb9c8d5833b6145c1aa044e251c8a1e28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Adult
174 rdf:type schema:DefinedTerm
175 Nc605125b46e942f28b231dbc7b2c4c9c schema:name nlm_unique_id
176 schema:value 8804070
177 rdf:type schema:PropertyValue
178 Nc61d9c05fe0c4bf0a650f79b42346170 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Diet Records
180 rdf:type schema:DefinedTerm
181 Ncd7bb81d19e54eac8981de9c295398f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Demography
183 rdf:type schema:DefinedTerm
184 Ndd12d735baa44a50b557b999e6daf5e9 schema:name U557 Inserm/Inra/Cnam, ISTNA Conservatoire National des Arts et Métiers 5, rue Vertbois, Paris, France
185 rdf:type schema:Organization
186 Ne2bc92d122134dff80d1405e8e21d50e schema:volumeNumber 60
187 rdf:type schema:PublicationVolume
188 Ne7ae0f986bf04aeea574fa39abc9ff68 schema:name doi
189 schema:value 10.1038/sj.ejcn.1602372
190 rdf:type schema:PropertyValue
191 Neda3833dacec4f07a4fbf8c599625dca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Seasons
193 rdf:type schema:DefinedTerm
194 Nfca54e992554444a88edb2f52c842817 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Smoking
196 rdf:type schema:DefinedTerm
197 Nfdd2bf9877364aa48bc67ce93e871387 schema:name NVMC, Laboratory de Biochimie, UFR de médecine-pharmacie, Av. des maquis du Grésivaudan, La Tronche, France
198 rdf:type schema:Organization
199 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
200 schema:name Medical and Health Sciences
201 rdf:type schema:DefinedTerm
202 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
203 schema:name Public Health and Health Services
204 rdf:type schema:DefinedTerm
205 sg:journal.1097936 schema:issn 0954-3007
206 1476-5640
207 schema:name European Journal of Clinical Nutrition
208 rdf:type schema:Periodical
209 sg:person.01000437634.10 schema:affiliation Ndd12d735baa44a50b557b999e6daf5e9
210 schema:familyName Galan
211 schema:givenName P
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000437634.10
213 rdf:type schema:Person
214 sg:person.01034147144.08 schema:affiliation https://www.grid.ac/institutes/grid.5842.b
215 schema:familyName Favier
216 schema:givenName A
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034147144.08
218 rdf:type schema:Person
219 sg:person.01042142266.65 schema:affiliation N071c06f1a99446ba9e8e12226451b71f
220 schema:familyName Hercberg
221 schema:givenName S
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042142266.65
223 rdf:type schema:Person
224 sg:person.01072545527.59 schema:affiliation Nfdd2bf9877364aa48bc67ce93e871387
225 schema:familyName Roussel
226 schema:givenName A-M
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072545527.59
228 rdf:type schema:Person
229 sg:person.014145761666.89 schema:affiliation https://www.grid.ac/institutes/grid.5842.b
230 schema:familyName Faure
231 schema:givenName H
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014145761666.89
233 rdf:type schema:Person
234 sg:person.0657600466.69 schema:affiliation N5e7019176e154cc7a089844bd1e8e719
235 schema:familyName Bertrais
236 schema:givenName S
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657600466.69
238 rdf:type schema:Person
239 sg:person.0750230132.04 schema:affiliation Na66de58a629f4f4a806553f517878c12
240 schema:familyName Preziosi
241 schema:givenName P
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750230132.04
243 rdf:type schema:Person
244 https://app.dimensions.ai/details/publication/pub.1074504793 schema:CreativeWork
245 https://app.dimensions.ai/details/publication/pub.1082499122 schema:CreativeWork
246 https://app.dimensions.ai/details/publication/pub.1082519855 schema:CreativeWork
247 https://app.dimensions.ai/details/publication/pub.1082913863 schema:CreativeWork
248 https://app.dimensions.ai/details/publication/pub.1082929836 schema:CreativeWork
249 https://app.dimensions.ai/details/publication/pub.1082968614 schema:CreativeWork
250 https://app.dimensions.ai/details/publication/pub.1083004663 schema:CreativeWork
251 https://app.dimensions.ai/details/publication/pub.1083028405 schema:CreativeWork
252 https://app.dimensions.ai/details/publication/pub.1083227279 schema:CreativeWork
253 https://doi.org/10.1001/archinte.159.7.748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033161501
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1001/archinte.164.21.2335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024538355
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/0378-4347(91)80476-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1049225321
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/s0197-2456(98)00015-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042540944
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/s0278-6915(99)00078-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038088257
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/s0378-4347(00)83313-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013614176
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1017/cbo9780511615191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098666202
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1017/s0029665199000610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008376063
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1024/0300-9831.71.2.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056317725
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1079/bjn19960143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037887349
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1079/bjn2000248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007118223
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1079/bjn2002751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011406149
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1093/ajcn/47.3.470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079697866
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1093/ajcn/49.1.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079450939
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1093/ajcn/57.4.551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082815780
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1093/ajcn/59.4.891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082673315
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1093/ajcn/60.1.106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082611255
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1093/ajcn/63.4.559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082875454
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1093/ajcn/67.2.231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083209552
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1093/ajcn/71.4.878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074609576
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1093/ajcn/73.3.586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074779919
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1093/ajcn/77.2.458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075222102
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1093/ajcn/79.2.218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076631430
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1093/jn/132.9.2895s schema:sameAs https://app.dimensions.ai/details/publication/pub.1075120311
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1093/jn/134.1.290s schema:sameAs https://app.dimensions.ai/details/publication/pub.1076620038
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1093/oxfordjournals.aje.a114072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1080082634
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1111/j.1749-6632.1975.tb29302.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034637686
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1136/bmj.314.7081.634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062778895
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1136/gut.47.6.825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042161770
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1159/000177895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031289945
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1177/000456328602300505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004302897
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1201/9781482277562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109726552
316 rdf:type schema:CreativeWork
317 https://www.grid.ac/institutes/grid.5842.b schema:alternateName University of Paris-Sud
318 schema:name Département de Biologie Intégrée Bâtiment B, CHU La Tronche BP, Grenoble Cedex 9, France
319 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...