Adolescent dietary intakes predict cardiometabolic risk clustering View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-03

AUTHORS

Lynn L. Moore, Martha R. Singer, M. Loring Bradlee, Stephen R. Daniels

ABSTRACT

PURPOSE: To prospectively examine the relation between adolescent dietary intake and cardiometabolic risk (CMR) clustering at the end of adolescence. METHODS: Data from the NHLBI Growth and Health Study on 1369 girls enrolled at ages 9-10 in 1987-1988 and followed for 10 years were used to estimate the relative risk of having multiple (≥2 or ≥3) risk factors in late adolescence associated with usual food intake patterns from 9 to 17 years of age. Mean food intakes were derived from multiple 3-day diet records and CMR factors included larger waist circumference, insulin resistance, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, high triglycerides, and elevated systolic or diastolic blood pressures. RESULTS: Of 1369 subjects, 18.4 % girls had 3-6 prevalent risk factors by the end of adolescence and 35.0 % had at least two. Higher intakes of fruit and non-starchy vegetables, dairy, and grains were independently associated with having fewer risk factors as were eating patterns characterized by higher combined intakes of these food groups. After adjusting for age, race, socio-economic status, height, physical activity, and television watching, girls with high intakes of dairy and fruits and non-starchy vegetables (vs. those with lower intakes of both) were nearly 50 % less likely to have three or more CMR factors in late adolescence; girls with higher intakes of grains plus fruits and non-starchy vegetables were nearly 60 % less likely. CONCLUSION: These results suggest that healthy food consumption patterns during adolescence may prevent accumulation of cardiometabolic risk. More... »

PAGES

461-468

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00394-015-0863-8

DOI

http://dx.doi.org/10.1007/s00394-015-0863-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000309298

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25724172


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiovascular Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol, HDL", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol, LDL", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "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": "Energy Intake", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exercise", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Longitudinal Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Syndrome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutrition Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Socioeconomic Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Triglycerides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Waist Circumference", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Boston University School of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.475010.7", 
          "name": [
            "Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Ave, Suite 470, 02118, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moore", 
        "givenName": "Lynn L.", 
        "id": "sg:person.015033243422.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015033243422.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University School of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.475010.7", 
          "name": [
            "Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Ave, Suite 470, 02118, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singer", 
        "givenName": "Martha R.", 
        "id": "sg:person.01136041721.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136041721.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University School of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.475010.7", 
          "name": [
            "Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Ave, Suite 470, 02118, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bradlee", 
        "givenName": "M. Loring", 
        "id": "sg:person.01276761157.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276761157.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Pediatrics, The Children\u2019s Hospital, University of Colorado School of Medicine, 13123 E. 16th Avenue, 80045, Aurora, CO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daniels", 
        "givenName": "Stephen R.", 
        "id": "sg:person.010042637777.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042637777.24"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1753-4887.2011.00452.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000028770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1651-2227.2009.01636.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003956545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1651-2227.2009.01636.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003956545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200008000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004131216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200008000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004131216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005768-200008000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004131216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07315724.2007.10719651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004450927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1368980009991546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005745347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2047-6310.2012.00107.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006390846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/157340111794941111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008123339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jada.2007.10.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010361276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archpediatrics.2011.71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011291309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwg146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012054296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/h06-101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012680464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2007.02.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018400048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17477166.2010.528765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019774159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.287.16.2081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024817402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2011.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026543577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/17477160903111763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026795618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07315724.2009.10719804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030704231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-5448.2007.00271.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031851006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.285.19.2486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033739611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jada.2008.11.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034976740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.numecd.2009.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035050880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1753-4887.2004.tb00001.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036021678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archpedi.157.8.759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037884602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archpedi.159.6.543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039865581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s000711451100715x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040993643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199806043382302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041842101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1751-7176.2008.08575.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042640394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0953-6205(03)00022-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046998630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0953-6205(03)00022-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046998630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-789x.2011.00881.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049722629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-8223(02)90228-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050780005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-8223(02)90228-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050780005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-789x.2010.00837.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052051726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.2047-6310.2013.00187.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053731602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1542/peds.2010-1125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067828548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/187153010791213056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069223399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076896981", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/80.4.841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076942103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/88.2.289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077687175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079592606", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080284174", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/60.1.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082611265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082987267", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-03", 
    "datePublishedReg": "2016-03-01", 
    "description": "PURPOSE: To prospectively examine the relation between adolescent dietary intake and cardiometabolic risk (CMR) clustering at the end of adolescence.\nMETHODS: Data from the NHLBI Growth and Health Study on 1369 girls enrolled at ages 9-10 in 1987-1988 and followed for 10 years were used to estimate the relative risk of having multiple (\u22652 or \u22653) risk factors in late adolescence associated with usual food intake patterns from 9 to 17 years of age. Mean food intakes were derived from multiple 3-day diet records and CMR factors included larger waist circumference, insulin resistance, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, high triglycerides, and elevated systolic or diastolic blood pressures.\nRESULTS: Of 1369 subjects, 18.4 % girls had 3-6 prevalent risk factors by the end of adolescence and 35.0 % had at least two. Higher intakes of fruit and non-starchy vegetables, dairy, and grains were independently associated with having fewer risk factors as were eating patterns characterized by higher combined intakes of these food groups. After adjusting for age, race, socio-economic status, height, physical activity, and television watching, girls with high intakes of dairy and fruits and non-starchy vegetables (vs. those with lower intakes of both) were nearly 50 % less likely to have three or more CMR factors in late adolescence; girls with higher intakes of grains plus fruits and non-starchy vegetables were nearly 60 % less likely.\nCONCLUSION: These results suggest that healthy food consumption patterns during adolescence may prevent accumulation of cardiometabolic risk.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00394-015-0863-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2609388", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1294989", 
        "issn": [
          "1436-6207", 
          "1435-1293"
        ], 
        "name": "European Journal of Nutrition", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "name": "Adolescent dietary intakes predict cardiometabolic risk clustering", 
    "pagination": "461-468", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "01786db4294e8a6909685871aed093a3f251ef305d3c5cec4f44da1d4e7a816d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25724172"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100888704"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00394-015-0863-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000309298"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00394-015-0863-8", 
      "https://app.dimensions.ai/details/publication/pub.1000309298"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T02:11", 
    "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/v90/0000000001_0000000264/records_8700_00000526.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00394-015-0863-8"
  }
]
 

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.10.1007/s00394-015-0863-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00394-015-0863-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00394-015-0863-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00394-015-0863-8'


 

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

317 TRIPLES      21 PREDICATES      96 URIs      46 LITERALS      34 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00394-015-0863-8 schema:about N020847d0b9e24592af03d89d566aca4b
2 N02821ccb687a4b749774530e987760d4
3 N13d49daccb4d4a5391573d55c5344e2e
4 N1cb254b55c6b4a04964c424979af25e9
5 N1d724cc4bf8c4178a4d650c1b720297b
6 N1fae03eaad23430090691063e6595944
7 N3a8b950cfa7e4caaac81d37a7f000fac
8 N3bc073b339fc4cd0a7c5b1099bd68cae
9 N3dd1839f049e4d29b22eebcf6c5167c8
10 N445b6c9ebb16467ba261d7a5c85742b8
11 N546bd89ee1094ef3b083687e44e7e992
12 N59b48ba3618c49969ad5ff4d09e4b500
13 N63721bba97a74ff6a054b894f085b16b
14 N693a974b6dad4bd38609c56826069515
15 N774f0cb4af474bc8bb358209b1fde7f0
16 N83a1bc0f27ac4087a97b9ea2df06d432
17 N961f9bec29de4014b8ac9d68de394928
18 Na01d8fd7b73f4a2d9f2ab687ed24b5da
19 Nad19ee0fd16a4ca8a8bf00d4a434fa04
20 Naee5b142025e47d3a74c969eb4d197a8
21 Ndac1a76a553641b49abac431eba0105f
22 Ne8a7dd2413fc4c2da1e61336d249673e
23 Nee3e4db0a59841859f14ff40ad52c06b
24 Nf998f5bff0944f4f8902e38a330e4826
25 Nfb243f38931540bcb1e3f42619a640ad
26 anzsrc-for:11
27 anzsrc-for:1117
28 schema:author Naf6ebb6e22b9444ca5cf52ddac97afd5
29 schema:citation sg:pub.10.1007/bf00280883
30 https://app.dimensions.ai/details/publication/pub.1076896981
31 https://app.dimensions.ai/details/publication/pub.1079592606
32 https://app.dimensions.ai/details/publication/pub.1080284174
33 https://app.dimensions.ai/details/publication/pub.1082987267
34 https://doi.org/10.1001/archpedi.157.8.759
35 https://doi.org/10.1001/archpedi.159.6.543
36 https://doi.org/10.1001/archpediatrics.2011.71
37 https://doi.org/10.1001/jama.285.19.2486
38 https://doi.org/10.1001/jama.287.16.2081
39 https://doi.org/10.1016/j.jada.2007.10.049
40 https://doi.org/10.1016/j.jada.2008.11.036
41 https://doi.org/10.1016/j.numecd.2007.02.014
42 https://doi.org/10.1016/j.numecd.2009.03.024
43 https://doi.org/10.1016/j.numecd.2011.10.010
44 https://doi.org/10.1016/s0002-8223(02)90228-2
45 https://doi.org/10.1016/s0953-6205(03)00022-0
46 https://doi.org/10.1017/s000711451100715x
47 https://doi.org/10.1017/s1368980009991546
48 https://doi.org/10.1056/nejm199806043382302
49 https://doi.org/10.1080/07315724.2007.10719651
50 https://doi.org/10.1080/07315724.2009.10719804
51 https://doi.org/10.1093/ajcn/60.1.15
52 https://doi.org/10.1093/ajcn/80.4.841
53 https://doi.org/10.1093/ajcn/88.2.289
54 https://doi.org/10.1093/aje/kwg146
55 https://doi.org/10.1097/00005768-200008000-00013
56 https://doi.org/10.1111/j.1399-5448.2007.00271.x
57 https://doi.org/10.1111/j.1467-789x.2010.00837.x
58 https://doi.org/10.1111/j.1467-789x.2011.00881.x
59 https://doi.org/10.1111/j.1651-2227.2009.01636.x
60 https://doi.org/10.1111/j.1751-7176.2008.08575.x
61 https://doi.org/10.1111/j.1753-4887.2004.tb00001.x
62 https://doi.org/10.1111/j.1753-4887.2011.00452.x
63 https://doi.org/10.1111/j.2047-6310.2012.00107.x
64 https://doi.org/10.1111/j.2047-6310.2013.00187.x
65 https://doi.org/10.1139/h06-101
66 https://doi.org/10.1542/peds.2010-1125
67 https://doi.org/10.2174/157340111794941111
68 https://doi.org/10.2174/187153010791213056
69 https://doi.org/10.3109/17477160903111763
70 https://doi.org/10.3109/17477166.2010.528765
71 schema:datePublished 2016-03
72 schema:datePublishedReg 2016-03-01
73 schema:description PURPOSE: To prospectively examine the relation between adolescent dietary intake and cardiometabolic risk (CMR) clustering at the end of adolescence. METHODS: Data from the NHLBI Growth and Health Study on 1369 girls enrolled at ages 9-10 in 1987-1988 and followed for 10 years were used to estimate the relative risk of having multiple (≥2 or ≥3) risk factors in late adolescence associated with usual food intake patterns from 9 to 17 years of age. Mean food intakes were derived from multiple 3-day diet records and CMR factors included larger waist circumference, insulin resistance, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, high triglycerides, and elevated systolic or diastolic blood pressures. RESULTS: Of 1369 subjects, 18.4 % girls had 3-6 prevalent risk factors by the end of adolescence and 35.0 % had at least two. Higher intakes of fruit and non-starchy vegetables, dairy, and grains were independently associated with having fewer risk factors as were eating patterns characterized by higher combined intakes of these food groups. After adjusting for age, race, socio-economic status, height, physical activity, and television watching, girls with high intakes of dairy and fruits and non-starchy vegetables (vs. those with lower intakes of both) were nearly 50 % less likely to have three or more CMR factors in late adolescence; girls with higher intakes of grains plus fruits and non-starchy vegetables were nearly 60 % less likely. CONCLUSION: These results suggest that healthy food consumption patterns during adolescence may prevent accumulation of cardiometabolic risk.
74 schema:genre research_article
75 schema:inLanguage en
76 schema:isAccessibleForFree false
77 schema:isPartOf Ndbdb169527a44a4382f3099741450a94
78 Nfd710dd06b5343298453524f125bb716
79 sg:journal.1294989
80 schema:name Adolescent dietary intakes predict cardiometabolic risk clustering
81 schema:pagination 461-468
82 schema:productId N478ca2826b2e4f25a86e3f68be963a3d
83 N7de5cab9b6c44419ba6e5c8e0309e133
84 N9e1b58527fd94b7891b9d9e49594347a
85 Na7b7f8f366d842189ef54e33d3713e03
86 Nb33d6969099c4442b0301d5c4168a4cd
87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000309298
88 https://doi.org/10.1007/s00394-015-0863-8
89 schema:sdDatePublished 2019-04-11T02:11
90 schema:sdLicense https://scigraph.springernature.com/explorer/license/
91 schema:sdPublisher N604ab75251814a99b2eb1b2fc0d6a41f
92 schema:url http://link.springer.com/10.1007%2Fs00394-015-0863-8
93 sgo:license sg:explorer/license/
94 sgo:sdDataset articles
95 rdf:type schema:ScholarlyArticle
96 N020847d0b9e24592af03d89d566aca4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Triglycerides
98 rdf:type schema:DefinedTerm
99 N02821ccb687a4b749774530e987760d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Cholesterol, LDL
101 rdf:type schema:DefinedTerm
102 N13d49daccb4d4a5391573d55c5344e2e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Male
104 rdf:type schema:DefinedTerm
105 N1cb254b55c6b4a04964c424979af25e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Logistic Models
107 rdf:type schema:DefinedTerm
108 N1cf58fede7eb4cb0834b845d0ec7e44a rdf:first sg:person.01136041721.78
109 rdf:rest N27103f5447e24961a76fede1df49445d
110 N1d724cc4bf8c4178a4d650c1b720297b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Metabolic Syndrome
112 rdf:type schema:DefinedTerm
113 N1fae03eaad23430090691063e6595944 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Cluster Analysis
115 rdf:type schema:DefinedTerm
116 N27103f5447e24961a76fede1df49445d rdf:first sg:person.01276761157.48
117 rdf:rest N901adb8cfd654c2297b8e05bde59051d
118 N3a8b950cfa7e4caaac81d37a7f000fac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Cholesterol, HDL
120 rdf:type schema:DefinedTerm
121 N3bc073b339fc4cd0a7c5b1099bd68cae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Humans
123 rdf:type schema:DefinedTerm
124 N3dd1839f049e4d29b22eebcf6c5167c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Socioeconomic Factors
126 rdf:type schema:DefinedTerm
127 N445b6c9ebb16467ba261d7a5c85742b8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Surveys and Questionnaires
129 rdf:type schema:DefinedTerm
130 N478ca2826b2e4f25a86e3f68be963a3d schema:name dimensions_id
131 schema:value pub.1000309298
132 rdf:type schema:PropertyValue
133 N546bd89ee1094ef3b083687e44e7e992 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Follow-Up Studies
135 rdf:type schema:DefinedTerm
136 N59b48ba3618c49969ad5ff4d09e4b500 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Adolescent
138 rdf:type schema:DefinedTerm
139 N604ab75251814a99b2eb1b2fc0d6a41f schema:name Springer Nature - SN SciGraph project
140 rdf:type schema:Organization
141 N63721bba97a74ff6a054b894f085b16b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Waist Circumference
143 rdf:type schema:DefinedTerm
144 N693a974b6dad4bd38609c56826069515 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Energy Intake
146 rdf:type schema:DefinedTerm
147 N774f0cb4af474bc8bb358209b1fde7f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Cardiovascular Diseases
149 rdf:type schema:DefinedTerm
150 N7de5cab9b6c44419ba6e5c8e0309e133 schema:name readcube_id
151 schema:value 01786db4294e8a6909685871aed093a3f251ef305d3c5cec4f44da1d4e7a816d
152 rdf:type schema:PropertyValue
153 N83a1bc0f27ac4087a97b9ea2df06d432 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Exercise
155 rdf:type schema:DefinedTerm
156 N901adb8cfd654c2297b8e05bde59051d rdf:first sg:person.010042637777.24
157 rdf:rest rdf:nil
158 N961f9bec29de4014b8ac9d68de394928 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Diet Records
160 rdf:type schema:DefinedTerm
161 N9e1b58527fd94b7891b9d9e49594347a schema:name nlm_unique_id
162 schema:value 100888704
163 rdf:type schema:PropertyValue
164 Na01d8fd7b73f4a2d9f2ab687ed24b5da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Female
166 rdf:type schema:DefinedTerm
167 Na7b7f8f366d842189ef54e33d3713e03 schema:name doi
168 schema:value 10.1007/s00394-015-0863-8
169 rdf:type schema:PropertyValue
170 Nad19ee0fd16a4ca8a8bf00d4a434fa04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Blood Pressure
172 rdf:type schema:DefinedTerm
173 Naee5b142025e47d3a74c969eb4d197a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Child
175 rdf:type schema:DefinedTerm
176 Naf6ebb6e22b9444ca5cf52ddac97afd5 rdf:first sg:person.015033243422.35
177 rdf:rest N1cf58fede7eb4cb0834b845d0ec7e44a
178 Nb33d6969099c4442b0301d5c4168a4cd schema:name pubmed_id
179 schema:value 25724172
180 rdf:type schema:PropertyValue
181 Ndac1a76a553641b49abac431eba0105f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Diet
183 rdf:type schema:DefinedTerm
184 Ndbdb169527a44a4382f3099741450a94 schema:issueNumber 2
185 rdf:type schema:PublicationIssue
186 Nde326009b97f45979aa619b13b81e2a1 schema:name Department of Pediatrics, The Children’s Hospital, University of Colorado School of Medicine, 13123 E. 16th Avenue, 80045, Aurora, CO, USA
187 rdf:type schema:Organization
188 Ne8a7dd2413fc4c2da1e61336d249673e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Risk Factors
190 rdf:type schema:DefinedTerm
191 Nee3e4db0a59841859f14ff40ad52c06b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Longitudinal Studies
193 rdf:type schema:DefinedTerm
194 Nf998f5bff0944f4f8902e38a330e4826 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Nutrition Assessment
196 rdf:type schema:DefinedTerm
197 Nfb243f38931540bcb1e3f42619a640ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Prospective Studies
199 rdf:type schema:DefinedTerm
200 Nfd710dd06b5343298453524f125bb716 schema:volumeNumber 55
201 rdf:type schema:PublicationVolume
202 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
203 schema:name Medical and Health Sciences
204 rdf:type schema:DefinedTerm
205 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
206 schema:name Public Health and Health Services
207 rdf:type schema:DefinedTerm
208 sg:grant.2609388 http://pending.schema.org/fundedItem sg:pub.10.1007/s00394-015-0863-8
209 rdf:type schema:MonetaryGrant
210 sg:journal.1294989 schema:issn 1435-1293
211 1436-6207
212 schema:name European Journal of Nutrition
213 rdf:type schema:Periodical
214 sg:person.010042637777.24 schema:affiliation Nde326009b97f45979aa619b13b81e2a1
215 schema:familyName Daniels
216 schema:givenName Stephen R.
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042637777.24
218 rdf:type schema:Person
219 sg:person.01136041721.78 schema:affiliation https://www.grid.ac/institutes/grid.475010.7
220 schema:familyName Singer
221 schema:givenName Martha R.
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136041721.78
223 rdf:type schema:Person
224 sg:person.01276761157.48 schema:affiliation https://www.grid.ac/institutes/grid.475010.7
225 schema:familyName Bradlee
226 schema:givenName M. Loring
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276761157.48
228 rdf:type schema:Person
229 sg:person.015033243422.35 schema:affiliation https://www.grid.ac/institutes/grid.475010.7
230 schema:familyName Moore
231 schema:givenName Lynn L.
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015033243422.35
233 rdf:type schema:Person
234 sg:pub.10.1007/bf00280883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027902786
235 https://doi.org/10.1007/bf00280883
236 rdf:type schema:CreativeWork
237 https://app.dimensions.ai/details/publication/pub.1076896981 schema:CreativeWork
238 https://app.dimensions.ai/details/publication/pub.1079592606 schema:CreativeWork
239 https://app.dimensions.ai/details/publication/pub.1080284174 schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1082987267 schema:CreativeWork
241 https://doi.org/10.1001/archpedi.157.8.759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037884602
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1001/archpedi.159.6.543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039865581
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1001/archpediatrics.2011.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011291309
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1001/jama.285.19.2486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033739611
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1001/jama.287.16.2081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024817402
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.jada.2007.10.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010361276
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.jada.2008.11.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034976740
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.numecd.2007.02.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018400048
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.numecd.2009.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035050880
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1016/j.numecd.2011.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026543577
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1016/s0002-8223(02)90228-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050780005
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1016/s0953-6205(03)00022-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046998630
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1017/s000711451100715x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040993643
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1017/s1368980009991546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005745347
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1056/nejm199806043382302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041842101
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1080/07315724.2007.10719651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004450927
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1080/07315724.2009.10719804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030704231
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1093/ajcn/60.1.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082611265
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1093/ajcn/80.4.841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076942103
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1093/ajcn/88.2.289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077687175
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1093/aje/kwg146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012054296
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1097/00005768-200008000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004131216
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1111/j.1399-5448.2007.00271.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031851006
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1111/j.1467-789x.2010.00837.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052051726
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1111/j.1467-789x.2011.00881.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049722629
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1111/j.1651-2227.2009.01636.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003956545
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1111/j.1751-7176.2008.08575.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042640394
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1111/j.1753-4887.2004.tb00001.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036021678
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1111/j.1753-4887.2011.00452.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000028770
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1111/j.2047-6310.2012.00107.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006390846
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1111/j.2047-6310.2013.00187.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053731602
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1139/h06-101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012680464
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1542/peds.2010-1125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067828548
306 rdf:type schema:CreativeWork
307 https://doi.org/10.2174/157340111794941111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008123339
308 rdf:type schema:CreativeWork
309 https://doi.org/10.2174/187153010791213056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069223399
310 rdf:type schema:CreativeWork
311 https://doi.org/10.3109/17477160903111763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026795618
312 rdf:type schema:CreativeWork
313 https://doi.org/10.3109/17477166.2010.528765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019774159
314 rdf:type schema:CreativeWork
315 https://www.grid.ac/institutes/grid.475010.7 schema:alternateName Boston University School of Medicine
316 schema:name Preventive Medicine and Epidemiology, Boston University School of Medicine, 801 Massachusetts Ave, Suite 470, 02118, Boston, MA, USA
317 rdf:type schema:Organization
 




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


...