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2016-01-20Zeitschriftenartikel DOI: 10.1136/bmjopen-2015-009266
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
dc.contributor.authorHartwig, Saskia
dc.contributor.authorKluttig, Alexander
dc.contributor.authorTiller, Daniel
dc.contributor.authorFricke, Julia
dc.contributor.authorMüller, Grit
dc.contributor.authorSchipf, Sabine
dc.contributor.authorVölzke, Henry
dc.contributor.authorSchunk, Michaela
dc.contributor.authorMeisinger, Christa
dc.contributor.authorSchienkiewitz, Anja
dc.contributor.authorHeidemann, Christin
dc.contributor.authorMoebus, Susanne
dc.contributor.authorPechlivanis, Sonali
dc.contributor.authorWerdan, Karl
dc.contributor.authorKuss, Oliver
dc.contributor.authorTamayo, Teresa
dc.contributor.authorHaerting, Johannes
dc.contributor.authorGreiser, Karin Halina
dc.date.accessioned2018-05-07T18:51:05Z
dc.date.available2018-05-07T18:51:05Z
dc.date.created2016-02-12
dc.date.issued2016-01-20none
dc.identifier.otherhttp://edoc.rki.de/oa/articles/reAZWC8YFhxD/PDF/29tVpnhT5PPfs.pdf
dc.identifier.urihttp://edoc.rki.de/176904/2258
dc.description.abstractObjective: 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 (eng
dc.language.isoeng
dc.publisherRobert Koch-Institut, Epidemiologie und Gesundheitsberichterstattung
dc.subjectEPIDEMIOLOGYeng
dc.subjectPUBLIC HEALTHeng
dc.subject.ddc610 Medizin
dc.titleAnthropometric 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
dc.typeperiodicalPart
dc.identifier.urnurn:nbn:de:0257-10042983
dc.identifier.doi10.1136/bmjopen-2015-009266
dc.identifier.doihttp://dx.doi.org/10.25646/2183
local.edoc.container-titleBMJ Open
local.edoc.fp-subtypeArtikel
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlbmjopen.bmj.com/content/6/1/e009266
local.edoc.container-publisher-nameBMJ Publishing Group
local.edoc.container-volume6
local.edoc.container-year2016

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