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Anthropometric markers and their association with incident type 2 diabetes mellitus: which marker is best for prediction? Pooled analysis of four German population-based cohort studies and comparison with a nationwide cohort study.
Hartwig, Saskia; Kluttig, Alexander; Tiller, Daniel; Fricke, Julia; Müller, Grit; Schipf, Sabine; Völzke, Henry; Schunk, Michaela; Meisinger, Christa; Schienkiewitz, Anja; Heidemann, Christin; Moebus, Susanne; Pechlivanis, Sonali; Werdan, Karl; Kuss, Oliver; Tamayo, Teresa; Haerting, Johannes; Greiser, Karin Halina.
Afiliação
  • Hartwig S; Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
  • Kluttig A; Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
  • Tiller D; Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Fricke J; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Müller G; Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany.
  • Schipf S; German Center for Diabetes Research (DZD), München-Neuherberg, Germany Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Völzke H; German Center for Diabetes Research (DZD), München-Neuherberg, Germany Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Schunk M; Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Neuherberg, Germany.
  • Meisinger C; German Center for Diabetes Research (DZD), München-Neuherberg, Germany Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
  • Schienkiewitz A; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
  • Heidemann C; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
  • Moebus S; Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany.
  • Pechlivanis S; Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany.
  • Werdan K; Department of Medicine III, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Kuss O; German Center for Diabetes Research (DZD), München-Neuherberg, Germany Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany.
  • Tamayo T; Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Düsseldorf, Germany.
  • Haerting J; Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Greiser KH; Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for Diabetes Research (DZD), München-Neuherberg, Germany Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
BMJ Open ; 6(1): e009266, 2016 Jan 20.
Article em En | MEDLINE | ID: mdl-26792214
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antropometria / Diabetes Mellitus Tipo 2 Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antropometria / Diabetes Mellitus Tipo 2 Idioma: En Ano de publicação: 2016 Tipo de documento: Article