Comparison of diabetes risk score estimates and cardiometabolic risk profiles in a middle-aged Irish population

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dc.contributor.author Phillips, Catherine M.
dc.contributor.author Kearney, Patricia M.
dc.contributor.author McCarthy, Vera J. C.
dc.contributor.author Harrington, Janas M.
dc.contributor.author Fitzgerald, Anthony P.
dc.contributor.author Perry, Ivan J.
dc.date.accessioned 2016-02-17T11:45:31Z
dc.date.available 2016-02-17T11:45:31Z
dc.date.issued 2013
dc.identifier.citation Phillips CM, Kearney PM, McCarthy VJ, Harrington JM, Fitzgerald AP, Perry IJ (2013) Comparison of Diabetes Risk Score Estimates and Cardiometabolic Risk Profiles in a Middle-Aged Irish Population. PLoS ONE 8(11): e78950. doi:10.1371/journal.pone.0078950
dc.identifier.volume 8 en
dc.identifier.issued 11 en
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10468/2356
dc.identifier.doi 10.1371/journal.pone.0078950
dc.description.abstract Background: To compare diabetes risk assessment tools in estimating risk of developing type 2 diabetes (T2DM) and to evaluate cardiometabolic risk profiles in a middle-aged Irish population. Methods: Future risk of developing T2DM was estimated using 7 risk scores, including clinical measures with or without anthropometric, biological and lifestyle data, in the cross-sectional Mitchelstown cohort of 2,047 middle-aged men and women. Cardiometabolic phenotypes including markers of glucose metabolism, inflammatory and lipid profiles were determined. Results: Estimates of subjects at risk for developing T2DM varied considerably according to the risk assessment tool used (0.3% to 20%), with higher proportions of males at risk (0-29.2% vs. 0.1-13.4%, for men and women, respectively). Extrapolated to the Irish population of similar age, the overall number of adults at high risk of developing T2DM ranges from 3,378 to 236,632. Numbers of non-optimal metabolic features were generally greater among those at high risk of developing T2DM. However, cardiometabolic profile characterisation revealed that only those classified at high risk by the Griffin (UK Cambridge) score displayed a more pro-inflammatory, obese, hypertensive, dysglycaemic and insulin resistant metabolic phenotype. Conclusions: Most diabetes risk scores examined offer limited ability to identify subjects with metabolic abnormalities and at risk of developing T2DM. Our results highlight the need to validate diabetes risk scoring tools for each population studied and the potential for developing an Irish diabetes risk score, which may help to promote self awareness and identify high risk individuals and diabetes hot spots for targeted public health interventions. en
dc.description.sponsorship Health Research Board (Grant No. HRC/2007/13) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Public Library of Science en
dc.rights © 2015 Phillips et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Impaired glucose tolerance en
dc.subject Lifestyle intervention en
dc.subject Coronary heart disease en
dc.subject C-reactive protein en
dc.subject Insulin resistance en
dc.subject Cardiovascular disease en
dc.subject Physical activity en
dc.subject Dietary patterns en
dc.subject Meat intake en
dc.subject Type 2 en
dc.title Comparison of diabetes risk score estimates and cardiometabolic risk profiles in a middle-aged Irish population en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Catherine Phillips, Epidemiology and Public Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email: c.phillips@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.internal.wokid WOS:000327254700071
dc.contributor.funder Health Research Board
dc.description.status Peer reviewed en
dc.identifier.journaltitle PLOS ONE en
dc.internal.IRISemailaddress c.phillips@ucc.ie en
dc.identifier.articleid e78950


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© 2015 Phillips et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Except where otherwise noted, this item's license is described as © 2015 Phillips et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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