PMID- 26792214
OWN - NLM
STAT- MEDLINE
DCOM- 20160927
LR  - 20220408
IS  - 2044-6055 (Electronic)
IS  - 2044-6055 (Linking)
VI  - 6
IP  - 1
DP  - 2016 Jan 20
TI  - 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.
PG  - e009266
LID - 10.1136/bmjopen-2015-009266 [doi]
LID - e009266
AB  - OBJECTIVE: To compare the association between different anthropometric 
      measurements and incident type 2 diabetes mellitus (T2DM) and to assess their 
      predictive ability in different regions of Germany. METHODS: Data of 10,258 
      participants from 4 prospective population-based cohorts were pooled to assess 
      the association of body weight, body mass index (BMI), waist circumference (WC), 
      waist-to-hip-ratio (WHR) and waist-to-height-ratio (WHtR) with incident T2DM by 
      calculating HRs of the crude, adjusted and standardised markers, as well as 
      providing receiver operator characteristic (ROC) curves. Differences between HRs 
      and ROCs for the different anthropometric markers were calculated to compare 
      their predictive ability. In addition, data of 3105 participants from the 
      nationwide survey were analysed separately using the same methods to provide a 
      nationally representative comparison. RESULTS: Strong associations were found for 
      each anthropometric marker and incidence of T2DM. Among the standardised 
      anthropometric measures, we found the strongest effect on incident T2DM for WC 
      and WHtR in the pooled sample (HR for 1 SD difference in WC 1.97, 95% CI 1.75 to 
      2.22, HR for WHtR 1.93, 95% CI 1.71 to 2.17 in women) and in female DEGS 
      participants (HR for WC 2.24, 95% CI 1.91 to 2.63, HR for WHtR 2.10, 95% CI 1.81 
      to 2.44), whereas the strongest association in men was found for WHR among DEGS 
      participants (HR 2.29, 95% CI 1.89 to 2.78). ROC analysis showed WHtR to be the 
      strongest predictor for incident T2DM. Differences in HR and ROCs between the 
      different markers confirmed WC and WHtR to be the best predictors of incident 
      T2DM. Findings were consistent across study regions and age groups (<65 vs >/= 65 
      years). CONCLUSIONS: We found stronger associations between anthropometric 
      markers that reflect abdominal obesity (ie, WC and WHtR) and incident T2DM than 
      for BMI and weight. The use of these measurements in risk prediction should be 
      encouraged.
CI  - Published by the BMJ Publishing Group Limited. For permission to use (where not 
      already granted under a licence) please go to 
      http://www.bmj.com/company/products-services/rights-and-licensing/
FAU - Hartwig, Saskia
AU  - Hartwig S
AD  - Institute of Medical Epidemiology, Biostatistics, and Informatics, 
      Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for 
      Diabetes Research (DZD), Munchen-Neuherberg, Germany.
FAU - Kluttig, Alexander
AU  - Kluttig A
AD  - Institute of Medical Epidemiology, Biostatistics, and Informatics, 
      Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for 
      Diabetes Research (DZD), Munchen-Neuherberg, Germany.
FAU - Tiller, Daniel
AU  - Tiller D
AD  - Institute of Medical Epidemiology, Biostatistics, and Informatics, 
      Martin-Luther-University Halle-Wittenberg, Halle, Germany.
FAU - Fricke, Julia
AU  - Fricke J
AD  - Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 
      Heidelberg, Germany Institute for Social Medicine, Epidemiology and Health 
      Economics, Charite-Universitatsmedizin Berlin, Berlin, Germany.
FAU - Muller, Grit
AU  - Muller G
AD  - Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, 
      Germany.
FAU - Schipf, Sabine
AU  - Schipf S
AD  - German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany Institute 
      for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
FAU - Volzke, Henry
AU  - Volzke H
AD  - German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany Institute 
      for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
FAU - Schunk, Michaela
AU  - Schunk M
AD  - Institute of Health Economics and Health Care Management, Helmholtz Zentrum 
      Munchen, Neuherberg, Germany.
FAU - Meisinger, Christa
AU  - Meisinger C
AD  - German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany Institute 
      of Epidemiology II, Helmholtz Zentrum Munchen, Neuherberg, Germany.
FAU - Schienkiewitz, Anja
AU  - Schienkiewitz A
AD  - Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, 
      Germany.
FAU - Heidemann, Christin
AU  - Heidemann C
AD  - Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, 
      Germany.
FAU - Moebus, Susanne
AU  - Moebus S
AD  - Institute for Medical Informatics, Biometry, and Epidemiology, University 
      Hospital of Essen, University Duisburg-Essen, Essen, Germany.
FAU - Pechlivanis, Sonali
AU  - Pechlivanis S
AD  - Institute for Medical Informatics, Biometry, and Epidemiology, University 
      Hospital of Essen, University Duisburg-Essen, Essen, Germany.
FAU - Werdan, Karl
AU  - Werdan K
AD  - Department of Medicine III, Martin-Luther-University Halle-Wittenberg, Halle, 
      Germany.
FAU - Kuss, Oliver
AU  - Kuss O
AD  - German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany Institute 
      of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for 
      Diabetes Research at Heinrich-Heine-University, Dusseldorf, Germany.
FAU - Tamayo, Teresa
AU  - Tamayo T
AD  - Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center 
      for Diabetes Research at Heinrich-Heine-University, Dusseldorf, Germany.
FAU - Haerting, Johannes
AU  - Haerting J
AD  - Institute of Medical Epidemiology, Biostatistics, and Informatics, 
      Martin-Luther-University Halle-Wittenberg, Halle, Germany.
FAU - Greiser, Karin Halina
AU  - Greiser KH
AD  - Institute of Medical Epidemiology, Biostatistics, and Informatics, 
      Martin-Luther-University Halle-Wittenberg, Halle, Germany German Center for 
      Diabetes Research (DZD), Munchen-Neuherberg, Germany Division of Cancer 
      Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20160120
PL  - England
TA  - BMJ Open
JT  - BMJ open
JID - 101552874
SB  - IM
MH  - *Anthropometry
MH  - Body Mass Index
MH  - Body Weight
MH  - Cohort Studies
MH  - Comorbidity
MH  - Diabetes Mellitus, Type 2/*epidemiology
MH  - Female
MH  - Germany/epidemiology
MH  - Humans
MH  - Incidence
MH  - Male
MH  - Middle Aged
MH  - Obesity, Abdominal/epidemiology
MH  - Waist Circumference
MH  - Waist-Height Ratio
MH  - Waist-Hip Ratio
PMC - PMC4735317
OTO - NOTNLM
OT  - EPIDEMIOLOGY
OT  - PUBLIC HEALTH
EDAT- 2016/01/23 06:00
MHDA- 2016/09/28 06:00
PMCR- 2016/01/20
CRDT- 2016/01/22 06:00
PHST- 2016/01/22 06:00 [entrez]
PHST- 2016/01/23 06:00 [pubmed]
PHST- 2016/09/28 06:00 [medline]
PHST- 2016/01/20 00:00 [pmc-release]
AID - bmjopen-2015-009266 [pii]
AID - 10.1136/bmjopen-2015-009266 [doi]
PST - epublish
SO  - BMJ Open. 2016 Jan 20;6(1):e009266. doi: 10.1136/bmjopen-2015-009266.