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

BMJ Open
Saskia HartwigKarin Halina Greiser

Abstract

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. 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. 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...Continue Reading

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Citations

Apr 8, 2016·Cardiovascular Diabetology·Julia SzendroediUNKNOWN GDS Group
Jun 20, 2019·Diabetic Medicine : a Journal of the British Diabetic Association·Z WangX Chen
Nov 30, 2016·Korean journal of pediatrics·Eun-Gyong Yoo
Oct 16, 2020·Diabetes Research and Clinical Practice·Jessica Hanae Zafra-TanakaAntonio Bernabe-Ortiz
Aug 28, 2021·Diabetes Therapy : Research, Treatment and Education of Diabetes and Related Disorders·Makiko AbeHisatomi Arima

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