HbA1c levels in non-diabetic older adults – No J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Ben Schöttker, W. Rathmann, C. Herder, B. Thorand, T. Wilsgaard, I. Njølstad, G. Siganos, E. B. Mathiesen, K. U. Saum, A. Peasey, E. Feskens, P. Boffetta, A. Trichopoulou, K. Kuulasmaa, F. Kee, H. Brenner, on behalf of the CHANCES group

ABSTRACT

BACKGROUND: To determine the shape of the associations of HbA1c with mortality and cardiovascular outcomes in non-diabetic individuals and explore potential explanations. METHODS: The associations of HbA1c with all-cause mortality, cardiovascular mortality and primary cardiovascular events (myocardial infarction or stroke) were assessed in non-diabetic subjects ≥50 years from six population-based cohort studies from Europe and the USA and meta-analyzed. Very low, low, intermediate and increased HbA1c were defined as <5.0, 5.0 to <5.5, 5.5 to <6.0 and 6.0 to <6.5% (equals <31, 31 to <37, 37 to <42 and 42 to <48 mmol/mol), respectively, and low HbA1c was used as reference in Cox proportional hazards models. RESULTS: Overall, 6,769 of 28,681 study participants died during a mean follow-up of 10.7 years, of whom 2,648 died of cardiovascular disease. Furthermore, 2,493 experienced a primary cardiovascular event. A linear association with primary cardiovascular events was observed. Adjustment for cardiovascular risk factors explained about 50% of the excess risk and attenuated hazard ratios (95 confidence interval) for increased HbA1c to 1.14 (1.03-1.27), 1.17 (1.00-1.37) and 1.19 (1.04-1.37) for all-cause mortality, cardiovascular mortality and cardiovascular events, respectively. The six cohorts yielded inconsistent results for the association of very low HbA1c levels with the mortality outcomes and the pooled effect estimates were not statistically significant. In one cohort with a pronounced J-shaped association of HbA1c levels with all-cause and cardiovascular mortality (NHANES), the following confounders of the association of very low HbA1c levels with mortality outcomes were identified: race/ethnicity; alcohol consumption; BMI; as well as biomarkers of iron deficiency anemia and liver function. Associations for very low HbA1c levels lost statistical significance in this cohort after adjusting for these confounders. CONCLUSIONS: A linear association of HbA1c levels with primary cardiovascular events was observed. For cardiovascular and all-cause mortality, the observed small effect sizes at both the lower and upper end of HbA1c distribution do not support the notion of a J-shaped association of HbA1c levels because a certain degree of residual confounding needs to be considered in the interpretation of the results. More... »

PAGES

26

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12916-016-0570-1

DOI

http://dx.doi.org/10.1186/s12916-016-0570-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033303347

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26867584


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiovascular Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cause of Death", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Confounding Factors (Epidemiology)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Europe", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Glycated Hemoglobin A", 
        "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": "Nutrition Surveys", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United States", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Heidelberg University", 
          "id": "https://www.grid.ac/institutes/grid.7700.0", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany", 
            "Network Aging Research, University of Heidelberg, Bergheimer Stra\u00dfe 20, 69115, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sch\u00f6ttker", 
        "givenName": "Ben", 
        "id": "sg:person.01131325661.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131325661.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Diabetes Center - Leibniz Institute for Diabetes Research at Heinrich Heine University D\u00fcsseldorf", 
          "id": "https://www.grid.ac/institutes/grid.429051.b", 
          "name": [
            "Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University D\u00fcsseldorf, Auf`m Hennekamp 65, 40225, D\u00fcsseldorf, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rathmann", 
        "givenName": "W.", 
        "id": "sg:person.01021265523.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021265523.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Center for Diabetes Research", 
          "id": "https://www.grid.ac/institutes/grid.452622.5", 
          "name": [
            "Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University D\u00fcsseldorf, Auf`m Hennekamp 65, 40225, D\u00fcsseldorf, Germany", 
            "German Center for Diabetes Research (DZD), Ingolst\u00e4dter Landstra\u00dfe 1, 85764, M\u00fcnchen-Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herder", 
        "givenName": "C.", 
        "id": "sg:person.01046702122.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046702122.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Helmholtz Zentrum M\u00fcnchen", 
          "id": "https://www.grid.ac/institutes/grid.4567.0", 
          "name": [
            "Institute of Epidemiology II, Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health, Postfach 1129, Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thorand", 
        "givenName": "B.", 
        "id": "sg:person.01277357122.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277357122.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Arctic University of Norway", 
          "id": "https://www.grid.ac/institutes/grid.10919.30", 
          "name": [
            "Epidemiology of Chronic Diseases Research Group, Department of Community Medicine, UiT The Arctic University of Norway, 9037, Troms\u00f8, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wilsgaard", 
        "givenName": "T.", 
        "id": "sg:person.01116732352.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116732352.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Arctic University of Norway", 
          "id": "https://www.grid.ac/institutes/grid.10919.30", 
          "name": [
            "Epidemiology of Chronic Diseases Research Group, Department of Community Medicine, UiT The Arctic University of Norway, 9037, Troms\u00f8, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nj\u00f8lstad", 
        "givenName": "I.", 
        "id": "sg:person.01300120701.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300120701.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Arctic University of Norway", 
          "id": "https://www.grid.ac/institutes/grid.10919.30", 
          "name": [
            "Brain and Circulation Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, 9037, Troms\u00f8, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Siganos", 
        "givenName": "G.", 
        "id": "sg:person.01165026304.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165026304.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Arctic University of Norway", 
          "id": "https://www.grid.ac/institutes/grid.10919.30", 
          "name": [
            "Brain and Circulation Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, 9037, Troms\u00f8, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathiesen", 
        "givenName": "E. B.", 
        "id": "sg:person.01223071027.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223071027.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saum", 
        "givenName": "K. U.", 
        "id": "sg:person.0632644516.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632644516.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University College London", 
          "id": "https://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Department of Epidemiology and Public Health, University College London, 1\u201319 Torrington Place, WC1E 6BT, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peasey", 
        "givenName": "A.", 
        "id": "sg:person.01067740304.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067740304.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feskens", 
        "givenName": "E.", 
        "id": "sg:person.014303040777.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014303040777.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hellenic Health Foundation", 
          "id": "https://www.grid.ac/institutes/grid.424637.0", 
          "name": [
            "Institute for Translational Epidemiology and The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
            "Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos, 11527, Athens, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boffetta", 
        "givenName": "P.", 
        "id": "sg:person.01336470641.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336470641.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hellenic Health Foundation", 
          "id": "https://www.grid.ac/institutes/grid.424637.0", 
          "name": [
            "Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos, 11527, Athens, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trichopoulou", 
        "givenName": "A.", 
        "id": "sg:person.01017060476.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017060476.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "National Institute for Health and Welfare (THL), PO Box 30, FI-00271, Helsinki, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuulasmaa", 
        "givenName": "K.", 
        "id": "sg:person.01255257303.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255257303.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen's University Belfast", 
          "id": "https://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "UKCRC Centre of Excellence for Public Health, Queen\u2019s University Belfast, Belfast, Northern Ireland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kee", 
        "givenName": "F.", 
        "id": "sg:person.01152603060.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152603060.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "German Cancer Research Center", 
          "id": "https://www.grid.ac/institutes/grid.7497.d", 
          "name": [
            "Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brenner", 
        "givenName": "H.", 
        "id": "sg:person.011326267022.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011326267022.83"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "on behalf of the CHANCES group", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00125-012-2707-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003335801", 
          "https://doi.org/10.1007/s00125-012-2707-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-012-2707-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003335801", 
          "https://doi.org/10.1007/s00125-012-2707-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003473448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/glp076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003473448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjmed.2007.03.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004786858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ndt/gft254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006627416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2162-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007159722", 
          "https://doi.org/10.1007/s00125-011-2162-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2162-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007159722", 
          "https://doi.org/10.1007/s00125-011-2162-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000052939.59093.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007861246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.1000278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008801434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3599-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011816727", 
          "https://doi.org/10.1007/s00125-015-3599-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3599-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011816727", 
          "https://doi.org/10.1007/s00125-015-3599-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1753-0407.2010.00100.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012677213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2796.2012.02594.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013787742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-3058-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013810614", 
          "https://doi.org/10.1007/s00125-013-3058-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-013-3058-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013810614", 
          "https://doi.org/10.1007/s00125-013-3058-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1246-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016773319", 
          "https://doi.org/10.1007/s00125-008-1246-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1246-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016773319", 
          "https://doi.org/10.1007/s00125-008-1246-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1246-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016773319", 
          "https://doi.org/10.1007/s00125-008-1246-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/cclm.2010.144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017919120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2005-02-0713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018377898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc14-s014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022230985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db10-0165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023006855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circoutcomes.110.957936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023776659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circoutcomes.110.957936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023776659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circoutcomes.110.957936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023776659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.1873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027763582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc14-1787", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027777583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2003.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028068466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-0503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028242478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2078-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029642937", 
          "https://doi.org/10.1007/s00125-011-2078-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-011-2078-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029642937", 
          "https://doi.org/10.1007/s00125-011-2078-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-007-0882-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029712693", 
          "https://doi.org/10.1007/s00125-007-0882-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-007-0882-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029712693", 
          "https://doi.org/10.1007/s00125-007-0882-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-007-0882-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029712693", 
          "https://doi.org/10.1007/s00125-007-0882-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc12-1635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029969753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc09-0117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030533653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000287561", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031885632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2009.10.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032864165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034343484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3841", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034343484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/jaha.112.000077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037614263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0908359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038526024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1741826711421687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041090777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1741826711421687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041090777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/cclm.2009.136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041612164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.26.2007.s106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042427642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc11-2531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044060279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc07-2374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046676225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-004-1643-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047434288", 
          "https://doi.org/10.1007/s00125-004-1643-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-004-1643-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047434288", 
          "https://doi.org/10.1007/s00125-004-1643-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.ajkd.2006.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047708293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gerona/60.7.866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050363837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjr.0b013e32833b0932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060341742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4414/smw.2015.14265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072528607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-141-6-200409210-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073707653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/71.5.1115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074635857"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: To determine the shape of the associations of HbA1c with mortality and cardiovascular outcomes in non-diabetic individuals and explore potential explanations.\nMETHODS: The associations of HbA1c with all-cause mortality, cardiovascular mortality and primary cardiovascular events (myocardial infarction or stroke) were assessed in non-diabetic subjects \u226550 years from six population-based cohort studies from Europe and the USA and meta-analyzed. Very low, low, intermediate and increased HbA1c were defined as <5.0, 5.0 to <5.5, 5.5 to <6.0 and 6.0 to <6.5% (equals <31, 31 to <37, 37 to <42 and 42 to <48 mmol/mol), respectively, and low HbA1c was used as reference in Cox proportional hazards models.\nRESULTS: Overall, 6,769 of 28,681 study participants died during a mean follow-up of 10.7 years, of whom 2,648 died of cardiovascular disease. Furthermore, 2,493 experienced a primary cardiovascular event. A linear association with primary cardiovascular events was observed. Adjustment for cardiovascular risk factors explained about 50% of the excess risk and attenuated hazard ratios (95 confidence interval) for increased HbA1c to 1.14 (1.03-1.27), 1.17 (1.00-1.37) and 1.19 (1.04-1.37) for all-cause mortality, cardiovascular mortality and cardiovascular events, respectively. The six cohorts yielded inconsistent results for the association of very low HbA1c levels with the mortality outcomes and the pooled effect estimates were not statistically significant. In one cohort with a pronounced J-shaped association of HbA1c levels with all-cause and cardiovascular mortality (NHANES), the following confounders of the association of very low HbA1c levels with mortality outcomes were identified: race/ethnicity; alcohol consumption; BMI; as well as biomarkers of iron deficiency anemia and liver function. Associations for very low HbA1c levels lost statistical significance in this cohort after adjusting for these confounders.\nCONCLUSIONS: A linear association of HbA1c levels with primary cardiovascular events was observed. For cardiovascular and all-cause mortality, the observed small effect sizes at both the lower and upper end of HbA1c distribution do not support the notion of a J-shaped association of HbA1c levels because a certain degree of residual confounding needs to be considered in the interpretation of the results.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12916-016-0570-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3783892", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1032885", 
        "issn": [
          "1741-7015"
        ], 
        "name": "BMC Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "HbA1c levels in non-diabetic older adults \u2013 No J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment for confounders in a meta-analysis of individual participant data from six cohort studies", 
    "pagination": "26", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9ea6e5280bba57af31539cb23664355a053f732a26197e3bcb0a3055c030c5e5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26867584"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101190723"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12916-016-0570-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033303347"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12916-016-0570-1", 
      "https://app.dimensions.ai/details/publication/pub.1033303347"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:04", 
    "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_8681_00000550.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs12916-016-0570-1"
  }
]
 

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/s12916-016-0570-1'

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/s12916-016-0570-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12916-016-0570-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12916-016-0570-1'


 

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

422 TRIPLES      21 PREDICATES      90 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12916-016-0570-1 schema:about N063febf83342421fbdec45d0726d92ae
2 N204333efd73b4a49ae364f6209196321
3 N39c19db45843473da397de96bc2aeac8
4 N424deb4a2f87417e97f6037489805161
5 N4ced46aef1764892b1eacebf43186b24
6 N66c46f5ab40b4a07b2af49dc83f721d2
7 N6cff2f8f0ef14ea7ae58be4fe8417334
8 N8d530fda9f1a4ff0865e5b60b7629068
9 Na45e2b91cd534bcf97b9c3a77af477e6
10 Nacea908c051a4ec2b38a02ce1058b591
11 Ncfa37814c79742949da67689517ba5cb
12 Nd1621190dc734cbe86e6e08a89a17cf3
13 Ndaa5edf21f354a3c8c28a3f0bd4bb037
14 Ne0f11da371aa4be19a29db7287f37df4
15 Nf22f91c85cc54c529e9300b6d4d3be4a
16 Nf60826a5f2a64c849f185e30060820d6
17 Nf9f67cb51de14b06b84dfa6a2da1c9a9
18 Nfa850d7678ae41f0861e70475395e6c6
19 anzsrc-for:11
20 anzsrc-for:1117
21 schema:author N7d3f34a0aa60456d9937a368d3bcfea3
22 schema:citation sg:pub.10.1007/s00125-004-1643-9
23 sg:pub.10.1007/s00125-007-0882-y
24 sg:pub.10.1007/s00125-008-1246-y
25 sg:pub.10.1007/s00125-011-2078-8
26 sg:pub.10.1007/s00125-011-2162-0
27 sg:pub.10.1007/s00125-012-2707-x
28 sg:pub.10.1007/s00125-013-3058-y
29 sg:pub.10.1007/s00125-015-3599-3
30 https://doi.org/10.1001/jama.2014.1873
31 https://doi.org/10.1002/sim.3841
32 https://doi.org/10.1016/0197-2456(86)90046-2
33 https://doi.org/10.1016/j.amjmed.2007.03.022
34 https://doi.org/10.1016/j.jacc.2009.10.060
35 https://doi.org/10.1016/j.jclinepi.2003.10.007
36 https://doi.org/10.1053/j.ajkd.2006.06.011
37 https://doi.org/10.1056/nejmoa0908359
38 https://doi.org/10.1093/ajcn/71.5.1115
39 https://doi.org/10.1093/gerona/60.7.866
40 https://doi.org/10.1093/gerona/glp076
41 https://doi.org/10.1093/ndt/gft254
42 https://doi.org/10.1097/hjr.0b013e32833b0932
43 https://doi.org/10.1111/j.1365-2796.2012.02594.x
44 https://doi.org/10.1111/j.1753-0407.2010.00100.x
45 https://doi.org/10.1159/000287561
46 https://doi.org/10.1161/01.cir.0000052939.59093.45
47 https://doi.org/10.1161/circoutcomes.110.957936
48 https://doi.org/10.1161/jaha.112.000077
49 https://doi.org/10.1177/1741826711421687
50 https://doi.org/10.1182/blood-2005-02-0713
51 https://doi.org/10.1371/journal.pmed.1000278
52 https://doi.org/10.1515/cclm.2009.136
53 https://doi.org/10.1515/cclm.2010.144
54 https://doi.org/10.2337/db10-0165
55 https://doi.org/10.2337/dc07-2374
56 https://doi.org/10.2337/dc09-0117
57 https://doi.org/10.2337/dc10-0503
58 https://doi.org/10.2337/dc11-2531
59 https://doi.org/10.2337/dc12-1635
60 https://doi.org/10.2337/dc14-1787
61 https://doi.org/10.2337/dc14-s014
62 https://doi.org/10.2337/diacare.26.2007.s106
63 https://doi.org/10.4414/smw.2015.14265
64 https://doi.org/10.7326/0003-4819-141-6-200409210-00006
65 schema:datePublished 2016-12
66 schema:datePublishedReg 2016-12-01
67 schema:description BACKGROUND: To determine the shape of the associations of HbA1c with mortality and cardiovascular outcomes in non-diabetic individuals and explore potential explanations. METHODS: The associations of HbA1c with all-cause mortality, cardiovascular mortality and primary cardiovascular events (myocardial infarction or stroke) were assessed in non-diabetic subjects ≥50 years from six population-based cohort studies from Europe and the USA and meta-analyzed. Very low, low, intermediate and increased HbA1c were defined as <5.0, 5.0 to <5.5, 5.5 to <6.0 and 6.0 to <6.5% (equals <31, 31 to <37, 37 to <42 and 42 to <48 mmol/mol), respectively, and low HbA1c was used as reference in Cox proportional hazards models. RESULTS: Overall, 6,769 of 28,681 study participants died during a mean follow-up of 10.7 years, of whom 2,648 died of cardiovascular disease. Furthermore, 2,493 experienced a primary cardiovascular event. A linear association with primary cardiovascular events was observed. Adjustment for cardiovascular risk factors explained about 50% of the excess risk and attenuated hazard ratios (95 confidence interval) for increased HbA1c to 1.14 (1.03-1.27), 1.17 (1.00-1.37) and 1.19 (1.04-1.37) for all-cause mortality, cardiovascular mortality and cardiovascular events, respectively. The six cohorts yielded inconsistent results for the association of very low HbA1c levels with the mortality outcomes and the pooled effect estimates were not statistically significant. In one cohort with a pronounced J-shaped association of HbA1c levels with all-cause and cardiovascular mortality (NHANES), the following confounders of the association of very low HbA1c levels with mortality outcomes were identified: race/ethnicity; alcohol consumption; BMI; as well as biomarkers of iron deficiency anemia and liver function. Associations for very low HbA1c levels lost statistical significance in this cohort after adjusting for these confounders. CONCLUSIONS: A linear association of HbA1c levels with primary cardiovascular events was observed. For cardiovascular and all-cause mortality, the observed small effect sizes at both the lower and upper end of HbA1c distribution do not support the notion of a J-shaped association of HbA1c levels because a certain degree of residual confounding needs to be considered in the interpretation of the results.
68 schema:genre research_article
69 schema:inLanguage en
70 schema:isAccessibleForFree true
71 schema:isPartOf Nc4c1e048377b45d7970913d79827ea71
72 Ncf9639a62fb24a5ca2fa0d360d748489
73 sg:journal.1032885
74 schema:name HbA1c levels in non-diabetic older adults – No J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment for confounders in a meta-analysis of individual participant data from six cohort studies
75 schema:pagination 26
76 schema:productId N20e6d7acad0d461c9db1fdfdbc7efc41
77 N31a656f93dfd493686db77b66875f402
78 N60c33b3c89954a9fa400528ac4d50a27
79 Nd652a14591514d529171f6666c564e7f
80 Ndee5635270154e4dacfe937c6508299e
81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033303347
82 https://doi.org/10.1186/s12916-016-0570-1
83 schema:sdDatePublished 2019-04-10T20:04
84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
85 schema:sdPublisher N221a534a4ad9406dbdfd23f28b236716
86 schema:url http://link.springer.com/10.1186%2Fs12916-016-0570-1
87 sgo:license sg:explorer/license/
88 sgo:sdDataset articles
89 rdf:type schema:ScholarlyArticle
90 N063febf83342421fbdec45d0726d92ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Middle Aged
92 rdf:type schema:DefinedTerm
93 N09d328ccfc5c45e0aa6f5b0559eb6327 schema:familyName on behalf of the CHANCES group
94 rdf:type schema:Person
95 N0cb6319b48d84087a544c663f04cea17 rdf:first sg:person.01223071027.41
96 rdf:rest Nc954c31ef63e4f0f86198fef1f2ec229
97 N1b0ad936742348c3b9318fb021cbc1c3 rdf:first sg:person.01336470641.43
98 rdf:rest Nbcf5b364be40485f915bbcfbfdd8ca13
99 N204333efd73b4a49ae364f6209196321 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Female
101 rdf:type schema:DefinedTerm
102 N20e6d7acad0d461c9db1fdfdbc7efc41 schema:name pubmed_id
103 schema:value 26867584
104 rdf:type schema:PropertyValue
105 N221a534a4ad9406dbdfd23f28b236716 schema:name Springer Nature - SN SciGraph project
106 rdf:type schema:Organization
107 N31a656f93dfd493686db77b66875f402 schema:name nlm_unique_id
108 schema:value 101190723
109 rdf:type schema:PropertyValue
110 N367d915922de4f588017e79d6a1000fa rdf:first sg:person.01046702122.59
111 rdf:rest N574edd2bde3949fc90e25bf0709fd758
112 N39c19db45843473da397de96bc2aeac8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Cohort Studies
114 rdf:type schema:DefinedTerm
115 N40fa8989485342fd9933d2192b1e6aef rdf:first sg:person.011326267022.83
116 rdf:rest N629eb4638370489db37c9bd1585d5845
117 N424deb4a2f87417e97f6037489805161 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Aged, 80 and over
119 rdf:type schema:DefinedTerm
120 N43de0b1a94f045f9868b2d0d68f61de4 rdf:first sg:person.01255257303.12
121 rdf:rest N70948f135016493abbc8b7a373298835
122 N4ced46aef1764892b1eacebf43186b24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Cause of Death
124 rdf:type schema:DefinedTerm
125 N55edfb6d496d41bb8d9845fc501201ab rdf:first sg:person.01116732352.80
126 rdf:rest Nfb41e2ee6ffb449f8f60cb3738317e2c
127 N574edd2bde3949fc90e25bf0709fd758 rdf:first sg:person.01277357122.18
128 rdf:rest N55edfb6d496d41bb8d9845fc501201ab
129 N60c33b3c89954a9fa400528ac4d50a27 schema:name doi
130 schema:value 10.1186/s12916-016-0570-1
131 rdf:type schema:PropertyValue
132 N629eb4638370489db37c9bd1585d5845 rdf:first N09d328ccfc5c45e0aa6f5b0559eb6327
133 rdf:rest rdf:nil
134 N66c46f5ab40b4a07b2af49dc83f721d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Cardiovascular Diseases
136 rdf:type schema:DefinedTerm
137 N6cff2f8f0ef14ea7ae58be4fe8417334 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Glycated Hemoglobin A
139 rdf:type schema:DefinedTerm
140 N70948f135016493abbc8b7a373298835 rdf:first sg:person.01152603060.89
141 rdf:rest N40fa8989485342fd9933d2192b1e6aef
142 N71aad5de19f143609186da806d57e68c rdf:first sg:person.01067740304.72
143 rdf:rest N9d20ce714bcf404a87a8e9109d3c4593
144 N7d3f34a0aa60456d9937a368d3bcfea3 rdf:first sg:person.01131325661.38
145 rdf:rest Nd64b082b264f43649f9b389af9ebfdbe
146 N8d530fda9f1a4ff0865e5b60b7629068 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Aged
148 rdf:type schema:DefinedTerm
149 N9d20ce714bcf404a87a8e9109d3c4593 rdf:first sg:person.014303040777.75
150 rdf:rest N1b0ad936742348c3b9318fb021cbc1c3
151 Na45e2b91cd534bcf97b9c3a77af477e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name United States
153 rdf:type schema:DefinedTerm
154 Nacea908c051a4ec2b38a02ce1058b591 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Male
156 rdf:type schema:DefinedTerm
157 Nbcf5b364be40485f915bbcfbfdd8ca13 rdf:first sg:person.01017060476.31
158 rdf:rest N43de0b1a94f045f9868b2d0d68f61de4
159 Nc4c1e048377b45d7970913d79827ea71 schema:volumeNumber 14
160 rdf:type schema:PublicationVolume
161 Nc954c31ef63e4f0f86198fef1f2ec229 rdf:first sg:person.0632644516.95
162 rdf:rest N71aad5de19f143609186da806d57e68c
163 Nced79b7caa554ce695d053da38fea694 rdf:first sg:person.01165026304.97
164 rdf:rest N0cb6319b48d84087a544c663f04cea17
165 Ncf9639a62fb24a5ca2fa0d360d748489 schema:issueNumber 1
166 rdf:type schema:PublicationIssue
167 Ncfa37814c79742949da67689517ba5cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Adult
169 rdf:type schema:DefinedTerm
170 Nd1621190dc734cbe86e6e08a89a17cf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Aging
172 rdf:type schema:DefinedTerm
173 Nd64b082b264f43649f9b389af9ebfdbe rdf:first sg:person.01021265523.83
174 rdf:rest N367d915922de4f588017e79d6a1000fa
175 Nd652a14591514d529171f6666c564e7f schema:name readcube_id
176 schema:value 9ea6e5280bba57af31539cb23664355a053f732a26197e3bcb0a3055c030c5e5
177 rdf:type schema:PropertyValue
178 Ndaa5edf21f354a3c8c28a3f0bd4bb037 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Proportional Hazards Models
180 rdf:type schema:DefinedTerm
181 Ndee5635270154e4dacfe937c6508299e schema:name dimensions_id
182 schema:value pub.1033303347
183 rdf:type schema:PropertyValue
184 Ne0f11da371aa4be19a29db7287f37df4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Nutrition Surveys
186 rdf:type schema:DefinedTerm
187 Nf22f91c85cc54c529e9300b6d4d3be4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Humans
189 rdf:type schema:DefinedTerm
190 Nf60826a5f2a64c849f185e30060820d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name Europe
192 rdf:type schema:DefinedTerm
193 Nf9f67cb51de14b06b84dfa6a2da1c9a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Risk Factors
195 rdf:type schema:DefinedTerm
196 Nfa850d7678ae41f0861e70475395e6c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Confounding Factors (Epidemiology)
198 rdf:type schema:DefinedTerm
199 Nfb41e2ee6ffb449f8f60cb3738317e2c rdf:first sg:person.01300120701.54
200 rdf:rest Nced79b7caa554ce695d053da38fea694
201 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
202 schema:name Medical and Health Sciences
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
205 schema:name Public Health and Health Services
206 rdf:type schema:DefinedTerm
207 sg:grant.3783892 http://pending.schema.org/fundedItem sg:pub.10.1186/s12916-016-0570-1
208 rdf:type schema:MonetaryGrant
209 sg:journal.1032885 schema:issn 1741-7015
210 schema:name BMC Medicine
211 rdf:type schema:Periodical
212 sg:person.01017060476.31 schema:affiliation https://www.grid.ac/institutes/grid.424637.0
213 schema:familyName Trichopoulou
214 schema:givenName A.
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017060476.31
216 rdf:type schema:Person
217 sg:person.01021265523.83 schema:affiliation https://www.grid.ac/institutes/grid.429051.b
218 schema:familyName Rathmann
219 schema:givenName W.
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021265523.83
221 rdf:type schema:Person
222 sg:person.01046702122.59 schema:affiliation https://www.grid.ac/institutes/grid.452622.5
223 schema:familyName Herder
224 schema:givenName C.
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046702122.59
226 rdf:type schema:Person
227 sg:person.01067740304.72 schema:affiliation https://www.grid.ac/institutes/grid.83440.3b
228 schema:familyName Peasey
229 schema:givenName A.
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067740304.72
231 rdf:type schema:Person
232 sg:person.01116732352.80 schema:affiliation https://www.grid.ac/institutes/grid.10919.30
233 schema:familyName Wilsgaard
234 schema:givenName T.
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116732352.80
236 rdf:type schema:Person
237 sg:person.01131325661.38 schema:affiliation https://www.grid.ac/institutes/grid.7700.0
238 schema:familyName Schöttker
239 schema:givenName Ben
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131325661.38
241 rdf:type schema:Person
242 sg:person.011326267022.83 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
243 schema:familyName Brenner
244 schema:givenName H.
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011326267022.83
246 rdf:type schema:Person
247 sg:person.01152603060.89 schema:affiliation https://www.grid.ac/institutes/grid.4777.3
248 schema:familyName Kee
249 schema:givenName F.
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152603060.89
251 rdf:type schema:Person
252 sg:person.01165026304.97 schema:affiliation https://www.grid.ac/institutes/grid.10919.30
253 schema:familyName Siganos
254 schema:givenName G.
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165026304.97
256 rdf:type schema:Person
257 sg:person.01223071027.41 schema:affiliation https://www.grid.ac/institutes/grid.10919.30
258 schema:familyName Mathiesen
259 schema:givenName E. B.
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223071027.41
261 rdf:type schema:Person
262 sg:person.01255257303.12 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
263 schema:familyName Kuulasmaa
264 schema:givenName K.
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255257303.12
266 rdf:type schema:Person
267 sg:person.01277357122.18 schema:affiliation https://www.grid.ac/institutes/grid.4567.0
268 schema:familyName Thorand
269 schema:givenName B.
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277357122.18
271 rdf:type schema:Person
272 sg:person.01300120701.54 schema:affiliation https://www.grid.ac/institutes/grid.10919.30
273 schema:familyName Njølstad
274 schema:givenName I.
275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300120701.54
276 rdf:type schema:Person
277 sg:person.01336470641.43 schema:affiliation https://www.grid.ac/institutes/grid.424637.0
278 schema:familyName Boffetta
279 schema:givenName P.
280 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336470641.43
281 rdf:type schema:Person
282 sg:person.014303040777.75 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
283 schema:familyName Feskens
284 schema:givenName E.
285 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014303040777.75
286 rdf:type schema:Person
287 sg:person.0632644516.95 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
288 schema:familyName Saum
289 schema:givenName K. U.
290 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632644516.95
291 rdf:type schema:Person
292 sg:pub.10.1007/s00125-004-1643-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047434288
293 https://doi.org/10.1007/s00125-004-1643-9
294 rdf:type schema:CreativeWork
295 sg:pub.10.1007/s00125-007-0882-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1029712693
296 https://doi.org/10.1007/s00125-007-0882-y
297 rdf:type schema:CreativeWork
298 sg:pub.10.1007/s00125-008-1246-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1016773319
299 https://doi.org/10.1007/s00125-008-1246-y
300 rdf:type schema:CreativeWork
301 sg:pub.10.1007/s00125-011-2078-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029642937
302 https://doi.org/10.1007/s00125-011-2078-8
303 rdf:type schema:CreativeWork
304 sg:pub.10.1007/s00125-011-2162-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007159722
305 https://doi.org/10.1007/s00125-011-2162-0
306 rdf:type schema:CreativeWork
307 sg:pub.10.1007/s00125-012-2707-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003335801
308 https://doi.org/10.1007/s00125-012-2707-x
309 rdf:type schema:CreativeWork
310 sg:pub.10.1007/s00125-013-3058-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1013810614
311 https://doi.org/10.1007/s00125-013-3058-y
312 rdf:type schema:CreativeWork
313 sg:pub.10.1007/s00125-015-3599-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011816727
314 https://doi.org/10.1007/s00125-015-3599-3
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1001/jama.2014.1873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027763582
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1002/sim.3841 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034343484
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1016/0197-2456(86)90046-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034546744
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1016/j.amjmed.2007.03.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004786858
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1016/j.jacc.2009.10.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032864165
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1016/j.jclinepi.2003.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028068466
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1053/j.ajkd.2006.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047708293
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1056/nejmoa0908359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038526024
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1093/ajcn/71.5.1115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074635857
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1093/gerona/60.7.866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050363837
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1093/gerona/glp076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003473448
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1093/ndt/gft254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006627416
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1097/hjr.0b013e32833b0932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060341742
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1111/j.1365-2796.2012.02594.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013787742
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1111/j.1753-0407.2010.00100.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012677213
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1159/000287561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031885632
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1161/01.cir.0000052939.59093.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007861246
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1161/circoutcomes.110.957936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023776659
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1161/jaha.112.000077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037614263
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1177/1741826711421687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041090777
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1182/blood-2005-02-0713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018377898
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1371/journal.pmed.1000278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008801434
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1515/cclm.2009.136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041612164
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1515/cclm.2010.144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017919120
363 rdf:type schema:CreativeWork
364 https://doi.org/10.2337/db10-0165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023006855
365 rdf:type schema:CreativeWork
366 https://doi.org/10.2337/dc07-2374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046676225
367 rdf:type schema:CreativeWork
368 https://doi.org/10.2337/dc09-0117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030533653
369 rdf:type schema:CreativeWork
370 https://doi.org/10.2337/dc10-0503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028242478
371 rdf:type schema:CreativeWork
372 https://doi.org/10.2337/dc11-2531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044060279
373 rdf:type schema:CreativeWork
374 https://doi.org/10.2337/dc12-1635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029969753
375 rdf:type schema:CreativeWork
376 https://doi.org/10.2337/dc14-1787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027777583
377 rdf:type schema:CreativeWork
378 https://doi.org/10.2337/dc14-s014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022230985
379 rdf:type schema:CreativeWork
380 https://doi.org/10.2337/diacare.26.2007.s106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042427642
381 rdf:type schema:CreativeWork
382 https://doi.org/10.4414/smw.2015.14265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072528607
383 rdf:type schema:CreativeWork
384 https://doi.org/10.7326/0003-4819-141-6-200409210-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073707653
385 rdf:type schema:CreativeWork
386 https://www.grid.ac/institutes/grid.10919.30 schema:alternateName The Arctic University of Norway
387 schema:name Brain and Circulation Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway
388 Epidemiology of Chronic Diseases Research Group, Department of Community Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway
389 rdf:type schema:Organization
390 https://www.grid.ac/institutes/grid.14758.3f schema:alternateName National Institute for Health and Welfare
391 schema:name National Institute for Health and Welfare (THL), PO Box 30, FI-00271, Helsinki, Finland
392 rdf:type schema:Organization
393 https://www.grid.ac/institutes/grid.424637.0 schema:alternateName Hellenic Health Foundation
394 schema:name Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos, 11527, Athens, Greece
395 Institute for Translational Epidemiology and The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
396 rdf:type schema:Organization
397 https://www.grid.ac/institutes/grid.429051.b schema:alternateName German Diabetes Center - Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf
398 schema:name Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf`m Hennekamp 65, 40225, Düsseldorf, Germany
399 rdf:type schema:Organization
400 https://www.grid.ac/institutes/grid.452622.5 schema:alternateName German Center for Diabetes Research
401 schema:name German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, München-Neuherberg, Germany
402 Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf`m Hennekamp 65, 40225, Düsseldorf, Germany
403 rdf:type schema:Organization
404 https://www.grid.ac/institutes/grid.4567.0 schema:alternateName Helmholtz Zentrum München
405 schema:name Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Postfach 1129, Neuherberg, Germany
406 rdf:type schema:Organization
407 https://www.grid.ac/institutes/grid.4777.3 schema:alternateName Queen's University Belfast
408 schema:name UKCRC Centre of Excellence for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
409 rdf:type schema:Organization
410 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
411 schema:name Division of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV, Wageningen, The Netherlands
412 rdf:type schema:Organization
413 https://www.grid.ac/institutes/grid.7497.d schema:alternateName German Cancer Research Center
414 schema:name Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
415 rdf:type schema:Organization
416 https://www.grid.ac/institutes/grid.7700.0 schema:alternateName Heidelberg University
417 schema:name Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
418 Network Aging Research, University of Heidelberg, Bergheimer Straße 20, 69115, Heidelberg, Germany
419 rdf:type schema:Organization
420 https://www.grid.ac/institutes/grid.83440.3b schema:alternateName University College London
421 schema:name Department of Epidemiology and Public Health, University College London, 1–19 Torrington Place, WC1E 6BT, London, UK
422 rdf:type schema:Organization
 




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


...