Fetal and infant exposure to severe Chinese famine increases the risk of adult dyslipidemia: Results from the China health and ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Zhenghe Wang, Changwei Li, Zhongping Yang, Jun Ma, Zhiyong Zou

ABSTRACT

BACKGROUND: To explore the associations between the Chinese famine exposure in early life and the dyslipidemia in adulthood. METHODS: We selected 2752 participants from the baseline survey of China Health and Retirement Longitudinal Study (CHARLS) 2011-2012 to evaluate the associations of early life the Chinese famine exposure with risk of dyslipidemia in adulthood. Dyslipidemia was defined as TC (Total Cholesterol): HDL-C (High-Density Lipoprotein Cholesterol) ratio ≥ 5.0 or use cholesterol lowering drugs. Famine exposure cohorts were categorized by birthdates of participants. Binary logistics regression model was used to examine the associations of early-life famine exposure with the risk of dyslipidemia. RESULTS: The dyslipidemia prevalence of the non-exposed cohort, fetal stage-, infant stage-, and preschool stage-exposed cohorts in adulthood was 15.7%, 23.1%, 22.0%, and 18.6%, respectively. Early-life exposure to the Chinese famine significantly increased LDL cholesterol concentrations in adulthood after adjusted for age. The risks of dyslipidemia in fetal (OR = 1.58; 95% CI: 1.23-2.03; P < 0.001) and infant (OR = 1.52; 95% CI: 1.15-2.00; P = 0.003) stage-exposed cohorts were significantly higher than the non-exposed cohort after adjusted for gender and current family economic status. Following gender stratification, we found that fetal (OR = 1.80; 95% CI: 1.26-2.57; P = 0.001), infant (OR = 1.75; 95% CI: 1.17-2.62; P = 0.006), and preschool (OR = 1.63; 95% CI: 1.10-2.42; P = 0.015) -stage exposure to severe famine aggravated the risk of dyslipidemia in female adults. However, the similar association was not observed for male adults. CONCLUSIONS: Early-life exposure to severe Chinese famine could link with the higher dyslipidemia risk in female adulthood, but not in male adulthood. This gender-specific effect might be associated with the hypothesis that parents in China prefer boys to girls traditionally or survivors' bias. More... »

PAGES

488

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12889-017-4421-6

DOI

http://dx.doi.org/10.1186/s12889-017-4421-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085622080

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28610568


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": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholesterol, LDL", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dyslipidemias", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infant, Newborn", 
        "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": "Pregnancy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sex Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Starvation", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Zhenghe", 
        "id": "sg:person.01247166021.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247166021.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tulane University", 
          "id": "https://www.grid.ac/institutes/grid.265219.b", 
          "name": [
            "Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Changwei", 
        "id": "sg:person.01205264250.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205264250.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Zhongping", 
        "id": "sg:person.01274361463.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274361463.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Jun", 
        "id": "sg:person.01315301221.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315301221.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking University", 
          "id": "https://www.grid.ac/institutes/grid.11135.37", 
          "name": [
            "Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zou", 
        "givenName": "Zhiyong", 
        "id": "sg:person.0652641411.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652641411.95"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/hmg/ddp353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002439782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.105.552737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002520792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwm402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006571373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dys203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010025553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-016-0219-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010609781", 
          "https://doi.org/10.1007/s10654-016-0219-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-016-0219-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010609781", 
          "https://doi.org/10.1007/s10654-016-0219-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-016-3122-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014509934", 
          "https://doi.org/10.1186/s12889-016-3122-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-006-9065-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016953666", 
          "https://doi.org/10.1007/s10654-006-9065-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0029-1237424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017320349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clnu.2015.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019469236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep13792", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019737184", 
          "https://doi.org/10.1038/srep13792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1079/bjn20041224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022538528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328345d969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026811215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328345d969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026811215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/cir.0000000000000152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028161404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/cir.0000000000000152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028161404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/ajcn.2008.26140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029177876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3945/ajcn.2008.27038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029336432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-2039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029970337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/2061752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030981289", 
          "https://doi.org/10.2307/2061752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db10-0385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032914645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmra0708473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033629081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.285.19.2486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033739611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms6592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033755183", 
          "https://doi.org/10.1038/ncomms6592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db11-1559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035908650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2016-1076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042363483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(15)00366-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044692004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2013-003167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045513222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ssresearch.2014.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046475898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2014.03.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046769957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwu288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046986830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2005.0010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047180903", 
          "https://doi.org/10.1353/dem.2005.0010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1043-951x(99)80009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048144974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earlhumdev.2006.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051781483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjmed.2014.07.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052505028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.321.7276.1609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052536466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(07)61690-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053412738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021932009003332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054065556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0021932009003332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054065556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/430804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058716721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-9353.2006.00290.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061936365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/er.2009-0039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064285982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075162373", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077466699", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/86.4.1219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077495854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079098009", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082410659", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082482696", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082916248", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083291521", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/69.2.179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083392850"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "BACKGROUND: To explore the associations between the Chinese famine exposure in early life and the dyslipidemia in adulthood.\nMETHODS: We selected 2752 participants from the baseline survey of China Health and Retirement Longitudinal Study (CHARLS) 2011-2012 to evaluate the associations of early life the Chinese famine exposure with risk of dyslipidemia in adulthood. Dyslipidemia was defined as TC (Total Cholesterol): HDL-C (High-Density Lipoprotein Cholesterol) ratio\u00a0\u2265\u00a05.0 or use cholesterol lowering drugs. Famine exposure cohorts were categorized by birthdates of participants. Binary logistics regression model was used to examine the associations of early-life famine exposure with the risk of dyslipidemia.\nRESULTS: The dyslipidemia prevalence of the non-exposed cohort, fetal stage-, infant stage-, and preschool stage-exposed cohorts in adulthood was 15.7%, 23.1%, 22.0%, and 18.6%, respectively. Early-life exposure to the Chinese famine significantly increased LDL cholesterol concentrations in adulthood after adjusted for age. The risks of dyslipidemia in fetal (OR\u00a0=\u00a01.58; 95% CI: 1.23-2.03; P\u00a0<\u00a00.001) and infant (OR\u00a0=\u00a01.52; 95% CI: 1.15-2.00; P\u00a0=\u00a00.003) stage-exposed cohorts were significantly higher than the non-exposed cohort after adjusted for gender and current family economic status. Following gender stratification, we found that fetal (OR\u00a0=\u00a01.80; 95% CI: 1.26-2.57; P\u00a0=\u00a00.001), infant (OR\u00a0=\u00a01.75; 95% CI: 1.17-2.62; P\u00a0=\u00a00.006), and preschool (OR\u00a0=\u00a01.63; 95% CI: 1.10-2.42; P\u00a0=\u00a00.015) -stage exposure to severe famine aggravated the risk of dyslipidemia in female adults. However, the similar association was not observed for male adults.\nCONCLUSIONS: Early-life exposure to severe Chinese famine could link with the higher dyslipidemia risk in female adulthood, but not in male adulthood. This gender-specific effect might be associated with the hypothesis that parents in China prefer boys to girls traditionally or survivors' bias.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12889-017-4421-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024954", 
        "issn": [
          "1471-2458"
        ], 
        "name": "BMC Public Health", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Fetal and infant exposure to severe Chinese famine increases the risk of adult dyslipidemia: Results from the China health and retirement longitudinal study", 
    "pagination": "488", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6602f77a2d40b6195ef9dce4ab02b7b59e88e7b18426ac88adec6938a5fdc3ac"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28610568"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968562"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12889-017-4421-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085622080"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12889-017-4421-6", 
      "https://app.dimensions.ai/details/publication/pub.1085622080"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:00", 
    "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/v90/0000000347_0000000347/records_89816_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12889-017-4421-6"
  }
]
 

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.10.1186/s12889-017-4421-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12889-017-4421-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12889-017-4421-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12889-017-4421-6'


 

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

308 TRIPLES      21 PREDICATES      93 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12889-017-4421-6 schema:about N00fc4d1a2b67479cbdc4d76592cc8ca7
2 N0272c19262ec4b06a1d2b00f17aaaa98
3 N12813fc9c554407eacc620d5dbf6b0b9
4 N236070c827874d92936f9d6af216a515
5 N25bcc499d3fd40e9ac2bd6febd277b56
6 N2f28b8a499474a679ecb01c33080d8f2
7 N46f8e7461892488793757f5240157e81
8 N78d128b55c7945ebad28ab9796067e1a
9 N84f8a738d55f4664a45097d1e27b6a18
10 N8c1b4b7b5c8e428484002b2660a24094
11 N8d21c00df3fa450d8a1d6b42a07511ad
12 N9e32888e673c4e8abfcc8c1089cfe942
13 Na899253d210d4a3ab50bdc05d318d1c1
14 Nab78aa26021c409eb8d63ccb3e0ab93c
15 Ne8de73fe07fa46ddba8cae094fc72acf
16 Ne8eb308e32a04d72a45eacdcb43daa54
17 Nf39440a98927423ba0ca5ea51bfba86d
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author Nefca4638de9c4f3abf428fe9de6a26a9
21 schema:citation sg:pub.10.1007/s10654-006-9065-2
22 sg:pub.10.1007/s10654-016-0219-6
23 sg:pub.10.1038/ncomms6592
24 sg:pub.10.1038/srep13792
25 sg:pub.10.1186/s12889-016-3122-x
26 sg:pub.10.1353/dem.2005.0010
27 sg:pub.10.2307/2061752
28 https://app.dimensions.ai/details/publication/pub.1075162373
29 https://app.dimensions.ai/details/publication/pub.1077466699
30 https://app.dimensions.ai/details/publication/pub.1079098009
31 https://app.dimensions.ai/details/publication/pub.1082410659
32 https://app.dimensions.ai/details/publication/pub.1082482696
33 https://app.dimensions.ai/details/publication/pub.1082916248
34 https://app.dimensions.ai/details/publication/pub.1083291521
35 https://doi.org/10.1001/jama.285.19.2486
36 https://doi.org/10.1016/j.amjmed.2014.07.026
37 https://doi.org/10.1016/j.clnu.2015.11.010
38 https://doi.org/10.1016/j.cmet.2014.03.026
39 https://doi.org/10.1016/j.earlhumdev.2006.07.001
40 https://doi.org/10.1016/j.ssresearch.2014.07.007
41 https://doi.org/10.1016/s0140-6736(07)61690-0
42 https://doi.org/10.1016/s1043-951x(99)80009-1
43 https://doi.org/10.1016/s2213-8587(15)00366-6
44 https://doi.org/10.1017/s0021932009003332
45 https://doi.org/10.1055/s-0029-1237424
46 https://doi.org/10.1056/nejmra0708473
47 https://doi.org/10.1079/bjn20041224
48 https://doi.org/10.1086/430804
49 https://doi.org/10.1093/ajcn/69.2.179
50 https://doi.org/10.1093/ajcn/86.4.1219
51 https://doi.org/10.1093/aje/kwm402
52 https://doi.org/10.1093/aje/kwu288
53 https://doi.org/10.1093/hmg/ddp353
54 https://doi.org/10.1093/ije/dys203
55 https://doi.org/10.1097/hjh.0b013e328345d969
56 https://doi.org/10.1111/j.1467-9353.2006.00290.x
57 https://doi.org/10.1136/bmj.321.7276.1609
58 https://doi.org/10.1136/bmjopen-2013-003167
59 https://doi.org/10.1161/cir.0000000000000152
60 https://doi.org/10.1161/circulationaha.105.552737
61 https://doi.org/10.1210/er.2009-0039
62 https://doi.org/10.1210/jc.2016-1076
63 https://doi.org/10.2337/db10-0385
64 https://doi.org/10.2337/db11-1559
65 https://doi.org/10.2337/dc10-2039
66 https://doi.org/10.3945/ajcn.2008.26140
67 https://doi.org/10.3945/ajcn.2008.27038
68 schema:datePublished 2017-12
69 schema:datePublishedReg 2017-12-01
70 schema:description BACKGROUND: To explore the associations between the Chinese famine exposure in early life and the dyslipidemia in adulthood. METHODS: We selected 2752 participants from the baseline survey of China Health and Retirement Longitudinal Study (CHARLS) 2011-2012 to evaluate the associations of early life the Chinese famine exposure with risk of dyslipidemia in adulthood. Dyslipidemia was defined as TC (Total Cholesterol): HDL-C (High-Density Lipoprotein Cholesterol) ratio ≥ 5.0 or use cholesterol lowering drugs. Famine exposure cohorts were categorized by birthdates of participants. Binary logistics regression model was used to examine the associations of early-life famine exposure with the risk of dyslipidemia. RESULTS: The dyslipidemia prevalence of the non-exposed cohort, fetal stage-, infant stage-, and preschool stage-exposed cohorts in adulthood was 15.7%, 23.1%, 22.0%, and 18.6%, respectively. Early-life exposure to the Chinese famine significantly increased LDL cholesterol concentrations in adulthood after adjusted for age. The risks of dyslipidemia in fetal (OR = 1.58; 95% CI: 1.23-2.03; P < 0.001) and infant (OR = 1.52; 95% CI: 1.15-2.00; P = 0.003) stage-exposed cohorts were significantly higher than the non-exposed cohort after adjusted for gender and current family economic status. Following gender stratification, we found that fetal (OR = 1.80; 95% CI: 1.26-2.57; P = 0.001), infant (OR = 1.75; 95% CI: 1.17-2.62; P = 0.006), and preschool (OR = 1.63; 95% CI: 1.10-2.42; P = 0.015) -stage exposure to severe famine aggravated the risk of dyslipidemia in female adults. However, the similar association was not observed for male adults. CONCLUSIONS: Early-life exposure to severe Chinese famine could link with the higher dyslipidemia risk in female adulthood, but not in male adulthood. This gender-specific effect might be associated with the hypothesis that parents in China prefer boys to girls traditionally or survivors' bias.
71 schema:genre research_article
72 schema:inLanguage en
73 schema:isAccessibleForFree true
74 schema:isPartOf N166f7553c1034ce0ab0220f3315521ea
75 Nd8c34251e3b2433ba2211202bc1359a2
76 sg:journal.1024954
77 schema:name Fetal and infant exposure to severe Chinese famine increases the risk of adult dyslipidemia: Results from the China health and retirement longitudinal study
78 schema:pagination 488
79 schema:productId N56de4d84d75b4b9c8f45dc741e686ccf
80 N61ac90ecaaf6436782311b4cf78d872e
81 N974c682408fc4dd9b541172eb4353db7
82 Nacb39ad059e04a86b0a13c4afb694fca
83 Neb28fc24fdae4ccdbf9a59dfaa61e3ce
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085622080
85 https://doi.org/10.1186/s12889-017-4421-6
86 schema:sdDatePublished 2019-04-11T10:00
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher Na3be9062c8ad4a33897c7d7ed33f562c
89 schema:url https://link.springer.com/10.1186%2Fs12889-017-4421-6
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N00fc4d1a2b67479cbdc4d76592cc8ca7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Adult
95 rdf:type schema:DefinedTerm
96 N0272c19262ec4b06a1d2b00f17aaaa98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Longitudinal Studies
98 rdf:type schema:DefinedTerm
99 N12813fc9c554407eacc620d5dbf6b0b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Logistic Models
101 rdf:type schema:DefinedTerm
102 N166f7553c1034ce0ab0220f3315521ea schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 N236070c827874d92936f9d6af216a515 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Child, Preschool
106 rdf:type schema:DefinedTerm
107 N25bcc499d3fd40e9ac2bd6febd277b56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Cholesterol, LDL
109 rdf:type schema:DefinedTerm
110 N2f28b8a499474a679ecb01c33080d8f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Prevalence
112 rdf:type schema:DefinedTerm
113 N3d3d7394b6024c7f8c7bd0abbfaeb9e1 rdf:first sg:person.01315301221.55
114 rdf:rest N548d36f2dc1e4e85aadc209c8a37a916
115 N46f8e7461892488793757f5240157e81 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Starvation
117 rdf:type schema:DefinedTerm
118 N548d36f2dc1e4e85aadc209c8a37a916 rdf:first sg:person.0652641411.95
119 rdf:rest rdf:nil
120 N56de4d84d75b4b9c8f45dc741e686ccf schema:name pubmed_id
121 schema:value 28610568
122 rdf:type schema:PropertyValue
123 N61ac90ecaaf6436782311b4cf78d872e schema:name doi
124 schema:value 10.1186/s12889-017-4421-6
125 rdf:type schema:PropertyValue
126 N78d128b55c7945ebad28ab9796067e1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Male
128 rdf:type schema:DefinedTerm
129 N84f8a738d55f4664a45097d1e27b6a18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Sex Distribution
131 rdf:type schema:DefinedTerm
132 N8c1b4b7b5c8e428484002b2660a24094 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name China
134 rdf:type schema:DefinedTerm
135 N8d21c00df3fa450d8a1d6b42a07511ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Dyslipidemias
137 rdf:type schema:DefinedTerm
138 N974c682408fc4dd9b541172eb4353db7 schema:name dimensions_id
139 schema:value pub.1085622080
140 rdf:type schema:PropertyValue
141 N9cc9ec3c15e04e98a3a93195bacf6e36 rdf:first sg:person.01205264250.73
142 rdf:rest Nbf81e843899342f2838480a7cda5a9ab
143 N9e32888e673c4e8abfcc8c1089cfe942 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Humans
145 rdf:type schema:DefinedTerm
146 Na3be9062c8ad4a33897c7d7ed33f562c schema:name Springer Nature - SN SciGraph project
147 rdf:type schema:Organization
148 Na899253d210d4a3ab50bdc05d318d1c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Pregnancy
150 rdf:type schema:DefinedTerm
151 Nab78aa26021c409eb8d63ccb3e0ab93c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Female
153 rdf:type schema:DefinedTerm
154 Nacb39ad059e04a86b0a13c4afb694fca schema:name nlm_unique_id
155 schema:value 100968562
156 rdf:type schema:PropertyValue
157 Nbf81e843899342f2838480a7cda5a9ab rdf:first sg:person.01274361463.10
158 rdf:rest N3d3d7394b6024c7f8c7bd0abbfaeb9e1
159 Nd8c34251e3b2433ba2211202bc1359a2 schema:volumeNumber 17
160 rdf:type schema:PublicationVolume
161 Ne8de73fe07fa46ddba8cae094fc72acf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Asian Continental Ancestry Group
163 rdf:type schema:DefinedTerm
164 Ne8eb308e32a04d72a45eacdcb43daa54 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Infant
166 rdf:type schema:DefinedTerm
167 Neb28fc24fdae4ccdbf9a59dfaa61e3ce schema:name readcube_id
168 schema:value 6602f77a2d40b6195ef9dce4ab02b7b59e88e7b18426ac88adec6938a5fdc3ac
169 rdf:type schema:PropertyValue
170 Nefca4638de9c4f3abf428fe9de6a26a9 rdf:first sg:person.01247166021.73
171 rdf:rest N9cc9ec3c15e04e98a3a93195bacf6e36
172 Nf39440a98927423ba0ca5ea51bfba86d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Infant, Newborn
174 rdf:type schema:DefinedTerm
175 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
176 schema:name Medical and Health Sciences
177 rdf:type schema:DefinedTerm
178 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
179 schema:name Public Health and Health Services
180 rdf:type schema:DefinedTerm
181 sg:journal.1024954 schema:issn 1471-2458
182 schema:name BMC Public Health
183 rdf:type schema:Periodical
184 sg:person.01205264250.73 schema:affiliation https://www.grid.ac/institutes/grid.265219.b
185 schema:familyName Li
186 schema:givenName Changwei
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205264250.73
188 rdf:type schema:Person
189 sg:person.01247166021.73 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
190 schema:familyName Wang
191 schema:givenName Zhenghe
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247166021.73
193 rdf:type schema:Person
194 sg:person.01274361463.10 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
195 schema:familyName Yang
196 schema:givenName Zhongping
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274361463.10
198 rdf:type schema:Person
199 sg:person.01315301221.55 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
200 schema:familyName Ma
201 schema:givenName Jun
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315301221.55
203 rdf:type schema:Person
204 sg:person.0652641411.95 schema:affiliation https://www.grid.ac/institutes/grid.11135.37
205 schema:familyName Zou
206 schema:givenName Zhiyong
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652641411.95
208 rdf:type schema:Person
209 sg:pub.10.1007/s10654-006-9065-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016953666
210 https://doi.org/10.1007/s10654-006-9065-2
211 rdf:type schema:CreativeWork
212 sg:pub.10.1007/s10654-016-0219-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010609781
213 https://doi.org/10.1007/s10654-016-0219-6
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/ncomms6592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033755183
216 https://doi.org/10.1038/ncomms6592
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/srep13792 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019737184
219 https://doi.org/10.1038/srep13792
220 rdf:type schema:CreativeWork
221 sg:pub.10.1186/s12889-016-3122-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014509934
222 https://doi.org/10.1186/s12889-016-3122-x
223 rdf:type schema:CreativeWork
224 sg:pub.10.1353/dem.2005.0010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047180903
225 https://doi.org/10.1353/dem.2005.0010
226 rdf:type schema:CreativeWork
227 sg:pub.10.2307/2061752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030981289
228 https://doi.org/10.2307/2061752
229 rdf:type schema:CreativeWork
230 https://app.dimensions.ai/details/publication/pub.1075162373 schema:CreativeWork
231 https://app.dimensions.ai/details/publication/pub.1077466699 schema:CreativeWork
232 https://app.dimensions.ai/details/publication/pub.1079098009 schema:CreativeWork
233 https://app.dimensions.ai/details/publication/pub.1082410659 schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1082482696 schema:CreativeWork
235 https://app.dimensions.ai/details/publication/pub.1082916248 schema:CreativeWork
236 https://app.dimensions.ai/details/publication/pub.1083291521 schema:CreativeWork
237 https://doi.org/10.1001/jama.285.19.2486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033739611
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.amjmed.2014.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052505028
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.clnu.2015.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019469236
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.cmet.2014.03.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046769957
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.earlhumdev.2006.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051781483
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.ssresearch.2014.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046475898
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/s0140-6736(07)61690-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053412738
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/s1043-951x(99)80009-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048144974
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/s2213-8587(15)00366-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044692004
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1017/s0021932009003332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054065556
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1055/s-0029-1237424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017320349
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1056/nejmra0708473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033629081
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1079/bjn20041224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022538528
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1086/430804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058716721
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/ajcn/69.2.179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083392850
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1093/ajcn/86.4.1219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077495854
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1093/aje/kwm402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006571373
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1093/aje/kwu288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046986830
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1093/hmg/ddp353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002439782
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1093/ije/dys203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010025553
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1097/hjh.0b013e328345d969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026811215
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1111/j.1467-9353.2006.00290.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1061936365
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1136/bmj.321.7276.1609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052536466
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1136/bmjopen-2013-003167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045513222
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1161/cir.0000000000000152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028161404
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1161/circulationaha.105.552737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002520792
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1210/er.2009-0039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064285982
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1210/jc.2016-1076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042363483
292 rdf:type schema:CreativeWork
293 https://doi.org/10.2337/db10-0385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032914645
294 rdf:type schema:CreativeWork
295 https://doi.org/10.2337/db11-1559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035908650
296 rdf:type schema:CreativeWork
297 https://doi.org/10.2337/dc10-2039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029970337
298 rdf:type schema:CreativeWork
299 https://doi.org/10.3945/ajcn.2008.26140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029177876
300 rdf:type schema:CreativeWork
301 https://doi.org/10.3945/ajcn.2008.27038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029336432
302 rdf:type schema:CreativeWork
303 https://www.grid.ac/institutes/grid.11135.37 schema:alternateName Peking University
304 schema:name Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China
305 rdf:type schema:Organization
306 https://www.grid.ac/institutes/grid.265219.b schema:alternateName Tulane University
307 schema:name Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
308 rdf:type schema:Organization
 




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


...