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dc.contributor.authorGray, B.
dc.contributor.authorBracken, R.
dc.contributor.authorTurner, D.
dc.contributor.authorMorgan, K.
dc.contributor.authorMellalieu, Stephen D.
dc.contributor.authorThomas, M.
dc.contributor.authorWilliams, Sally P.
dc.contributor.authorWilliams, Meurig
dc.contributor.authorRice, S.
dc.contributor.authorStephens, J.W.
dc.contributor.authorProsiect Sir Gâr Group
dc.date.accessioned2018-03-27T08:26:34Z
dc.date.available2018-03-27T08:26:34Z
dc.date.issued2014
dc.identifier.citationGray, B.J., Bracken, R.M., Turner, D., Morgan, K., Mellalieu, S.D., Thomas, M., Williams, S.P., Williams, M., Rice, S., Stephens, J.W. and Prosiect Sir Gâr Group (2014) 'Predicted 10-year risk of cardiovascular disease is influenced by the risk equation adopted: a cross-sectional analysis', British Journal of General Practice, 64(627), pp.e634-e640.en_US
dc.identifier.issn0960-1643
dc.identifier.issn1478-5242 (online)
dc.identifier.urihttp://hdl.handle.net/10369/9503
dc.descriptionThis article was published in British Journal of General Practice in 2014 available online at https://doi.org/10.3399/bjgp14X681805en_US
dc.description.abstractBackground Validated risk equations are currently recommended to assess individuals to determine those at ‘high risk’ of cardiovascular disease (CVD). However, there is no longer a risk ‘equation of choice’. Aim This study examined the differences between four commonly-used CVD risk equations. Design and setting Cross-sectional analysis of individuals who participated in a workplace-based risk assessment in Carmarthenshire, south Wales. Method Analysis of 790 individuals (474 females, 316 males) with no prior diagnosis of CVD or diabetes. Ten-year CVD risk was predicted by entering the relevant variables into the QRISK2, Framingham Lipids, Framingham BMI, and JBS2 risk equations. Results The Framingham BMI and JBS2 risk equations predicted a higher absolute risk than the QRISK2 and Framingham Lipids equations, and CVD risk increased concomitantly with age irrespective of which risk equation was adopted. Only a small proportion of females (0–2.1%) were predicted to be at high risk of developing CVD using any of the risk algorithms. The proportion of males predicted at high risk ranged from 5.4% (QRISK2) to 20.3% (JBS2). After age stratification, few differences between isolated risk factors were observed in males, although a greater proportion of males aged ≥50 years were predicted to be at ‘high risk’ independent of risk equation used. Conclusions Different risk equations can influence the predicted 10-year CVD risk of individuals. More males were predicted at ‘high risk’ using the JBS2 or Framingham BMI equations. Consideration should also be given to the number of isolated risk factors, especially in younger adults when evaluating CVD risk.en_US
dc.language.isoenen_US
dc.publisherRoyal College of General Practitionersen_US
dc.relation.ispartofseriesBritish Journal of General Practice;
dc.subjectcardiovascular diseasesen_US
dc.subjectdecision support techniquesen_US
dc.subjectprevention and controlen_US
dc.subjectprimary careen_US
dc.subjectrisken_US
dc.titlePredicted 10-year risk of cardiovascular disease is influenced by the risk equation adopted: a cross-sectional analysisen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3399/bjgp14X681805
dcterms.dateAccepted2014-07-01
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2018-03-27
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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