Literature DB >> 11220529

Ethnicity and risk factors for coronary heart disease in diabetes mellitus.

F L Game1, A F Jones.   

Abstract

INTRODUCTION: The Framingham equation can be used to predict the risk of coronary heart disease (CHD) and so to target risk factor intervention. Reservations have been applied to its use in south Asian populations since the high CHD mortality in this group may not be accounted for by traditional risk factors.
METHODS: We applied the Framingham equation to 1826 patients with diabetes of whom 1215 were of white Caucasian and 611 south Asian origin. Having calculated the 10-year CHD risks the contribution of risk factors were compared between ethnic groups.
RESULTS: Mean 10-year CHD risk was the same in the two ethnic groups (20.7 vs. 21.5%, white Caucasian vs. south Asian men and 16.5 vs. 15.9%, white Caucasian vs. south Asian women). However, the risk factor profile was different between the two groups. Mean total cholesterol was lower in south Asians (5.23 vs. 5.41 mmol/l, south Asian vs. white Caucasian men (p = 0.01) and 5.38 vs. 5.68 mmol/l, south Asian vs. white Caucasian women (p < 0.001)). HDL cholesterol levels were also lower (median HDL cholesterol 0.94 vs. 1.11 mmol/l, south Asian vs. white Caucasian men (p < 0.001) and 1.07 vs. 1.3 mmol/l, south Asian vs. white Caucasian women (p < 0.0001)) leading to higher total: HDL cholesterol ratios (5.48 vs. 4.78, south Asian vs. white Caucasian men (p = 0.032) and 4.91 vs. 4.26, south Asian vs. white Caucasian women (p < 0.001).
CONCLUSION: Calculated 10-year CHD risks are the same in south Asian and white Caucasian diabetic patients but the factors contributing to this risk differ. Different management of these risk factors may account for the higher mortality from CHD in those of south Asian origin.

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Year:  2000        PMID: 11220529     DOI: 10.1046/j.1463-1326.2000.00063.x

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  7 in total

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Authors:  Arch G Mainous; Azeem Majeed; Richelle J Koopman; Richard Baker; Charles J Everett; Barbara C Tilley; Vanessa A Diaz
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Review 2.  Diabetes and associated complications in the South Asian population.

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4.  Developing Targeted Health Service Interventions Using the PRECEDE-PROCEED Model: Two Australian Case Studies.

Authors:  Jane L Phillips; John X Rolley; Patricia M Davidson
Journal:  Nurs Res Pract       Date:  2012-07-17

5.  Comparison of cardiovascular risk factors between Sri Lankans living in Kandy and Oslo.

Authors:  Sampath U B Tennakoon; Bernadette N Kumar; Danasela B Nugegoda; Haakon E Meyer
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6.  The role of childhood social position in adult type 2 diabetes: evidence from the English Longitudinal Study of Ageing.

Authors:  Jitka Pikhartova; David Blane; Gopalakrishnan Netuveli
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7.  Ethnicity and prediction of cardiovascular disease: performance of QRISK2 and Framingham scores in a U.K. tri-ethnic prospective cohort study (SABRE--Southall And Brent REvisited).

Authors:  Therese Tillin; Alun D Hughes; Peter Whincup; Jamil Mayet; Naveed Sattar; Paul M McKeigue; Nish Chaturvedi
Journal:  Heart       Date:  2013-11-01       Impact factor: 5.994

  7 in total

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