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1000 Titel
  • 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
1000 Autor/in
  1. Schöttker, Ben |
  2. Rathmann, Wolfgang |
  3. Herder, Christian |
  4. Thorand, B. |
  5. Wilsgaard, T. |
  6. Njølstad, I. |
  7. Siganos, G. |
  8. Mathiesen, E. B. |
  9. Saum, K. U. |
  10. Peasey, A. |
  11. Feskens, E. |
  12. Boffetta, P. |
  13. Trichopoulou, A. |
  14. Kuulasmaa, K. |
  15. Kee, F. |
  16. Brenner, H. |
1000 Mitwirkende/r
  1. CHANCES group |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-02-11
1000 Erschienen in
1000 Quellenangabe
  • 14:26
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12916-016-0570-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751667/ |
1000 Ergänzendes Material
  • https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-016-0570-1#Declarations |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Myocardial infarction
lokal Stroke
lokal Cohort study
lokal Mortality
lokal Cardiovascular disease
lokal Glycated hemoglobin
lokal Meta-analysis
1000 Fachgruppe
  1. Biologie |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0002-1217-4521|http://d-nb.info/gnd/112013597|http://orcid.org/0000-0002-2050-093X|https://frl.publisso.de/adhoc/creator/VGhvcmFuZCwgQi4=|https://frl.publisso.de/adhoc/creator/V2lsc2dhYXJkLCBULg==|https://frl.publisso.de/adhoc/creator/IE5qw7hsc3RhZCwgSS4=|https://frl.publisso.de/adhoc/creator/U2lnYW5vcywgRy4=|https://frl.publisso.de/adhoc/creator/TWF0aGllc2VuLCBFLiBCLg==|https://frl.publisso.de/adhoc/creator/U2F1bSwgSy4gVS4=|https://frl.publisso.de/adhoc/creator/UGVhc2V5LCBBLg==|https://frl.publisso.de/adhoc/creator/IEZlc2tlbnMsIEUu|https://frl.publisso.de/adhoc/creator/IEJvZmZldHRhLCBQLg==|https://frl.publisso.de/adhoc/creator/VHJpY2hvcG91bG91LCBBLg==|https://frl.publisso.de/adhoc/creator/S3V1bGFzbWFhLCBLLg==|https://frl.publisso.de/adhoc/creator/S2VlLCBGLg==|https://frl.publisso.de/adhoc/creator/QnJlbm5lciwgSC4=|https://frl.publisso.de/adhoc/creator/Q0hBTkNFUyBncm91cA==
1000 Label
1000 Förderer
  1. European Commission
  2. German Research Foundation (DFG)
  3. Baden-Württemberg state Ministry of Science, Research and Arts
  4. Federal Ministry of Education and Research (Berlin, Germany)
  5. Federal Ministry of Family Affairs, Senior Citizens, Women and Youth (Berlin, Germany)
  6. Norwegian Research Council
  7. Helmholtz Zentrum München
  8. German Research Center for Environmental Health (HMGU)
  9. German Federal Ministry of Education and Research (BMBF)
  10. State of Bavaria
  11. Federal Ministry of Health (BMG)
  12. University of Ulm
  13. Ministry of Innovation, Science, Research, and Technology, North Rhine Westphalia (MIWF NRW)
  14. Ministry of Cultural Affairs
  15. Social Ministry, Mecklenburg-West Pomerania
  16. Federal Ministry of Nutrition, Agriculture and Consumer’s Safety
  17. Competence Network Heart Failure
  18. Competence Network Diabetes
  19. German Asthma and COPD Network
  20. Genopathomik
  21. Alfried Krupp von Bohlen und Halbach Foundation
  22. Alexander v. Humboldt Foundation
  23. Leibniz Society
  24. Siemens AG
  25. Health Care Sector
  26. Pfizer Pharma GmbH (SBU Endocrinology and Ophthalmology)
  27. Novo Nordisk
  28. Data Input GmbH
  29. GABA International AG
  30. Imedos Systems
  31. Heinen and Löwenstein
  32. National Institute on Aging (US)
  33. National Center for Health Statistics (NCHS)
1000 Fördernummer
  1. 242244
  2. 616604, Gr 1912/5-1, Ko 799/5-1, Vo 955/5-1, Vo 955/6-1, Vo 955/10-1
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  16. 07HS003
  17. 01GI0205
  18. 01GI0855
  19. BMBF 01GI0883
  20. BMBF FZK 03138010
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1000 Förderprogramm
  1. FP7 framework programme
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1000 Erstellt am 2018-06-01T08:56:52.715+0200
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1000 Zuletzt bearbeitet 2020-01-30T18:58:52.649+0100
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  1. oai:frl.publisso.de:frl:6408177 |
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