Literature DB >> 19154946

The atypical presentation of the metabolic syndrome components in black African women: the relationship with insulin resistance and the influence of regional adipose tissue distribution.

Courtney L Jennings1, Estelle V Lambert, Malcolm Collins, Naomi S Levitt, Julia H Goedecke.   

Abstract

The appropriateness of the metabolic syndrome criteria as an indicator of cardiovascular disease risk has been challenged in black Africans. Hence, the aims of this study were (1) to examine the level of agreement between the International Diabetes Federation (IDF) and the National Cholesterol Education Program Adult Treatment Panel III (ATP III) metabolic syndrome criteria, which differ in their emphasis on central obesity; (2) to investigate the degree to which these criteria predict insulin resistance, as estimated by the homeostasis model assessment of insulin resistance (HOMA-IR); and (3) to investigate the extent to which a diagnosis of the metabolic syndrome and insulin resistance may be explained by body fat and its distribution. In 103 normal-weight (body mass index <or=25 kg/m(2), mean: 22.0 +/- 1.8 kg/m(2)) and 119 obese (body mass index >or=30 kg/m(2), mean: 33.9 +/- 5.5 kg/m(2)) urbanized black South African women (27 +/- 7 years old), body composition (dual-energy x-ray absorptiometry), fat distribution (waist and computed tomography), blood pressure, fasting glucose, HOMA-IR, and lipid profiles were measured. Insulin resistance was defined as the upper tertile of HOMA-IR. The overall proportion of individuals who met the IDF and ATP III metabolic syndrome criteria were 13% and 10%, respectively. Agreement was high between the IDF and ATP III metabolic syndrome criteria (kappa = 0.87); however, neither criteria predicted HOMA-IR (kappa = 0.16, 95% confidence interval: 0.05-0.27 and 0.14, 95% confidence interval: 0.05-0.27, respectively). Visceral adipose tissue was the largest contributor to diagnosis of the metabolic syndrome, and waist alone (>80 cm or >88 cm) had an improved specificity (21% or 18% higher, respectively) and positive predictive value (64% or 57% higher, respectively) for identifying insulin resistance compared with the metabolic syndrome criteria. Waist circumference was a better predictor of HOMA-IR than the IDF or ATP III metabolic syndrome criteria in young black African women without known disease. The measurement of waist circumference, as an indicator of disease risk, should therefore be encouraged in the public health setting.

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Year:  2009        PMID: 19154946     DOI: 10.1016/j.metabol.2008.09.007

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  12 in total

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2.  The waist circumference of risk in black South african men is lower than in men of European ancestry.

Authors:  W John Kalk; Barry I Joffe; Anne E Sumner
Journal:  Metab Syndr Relat Disord       Date:  2011-08-29       Impact factor: 1.894

3.  Waist circumference, BMI, and visceral adipose tissue in white women and women of African descent.

Authors:  Anne E Sumner; Lisa K Micklesfield; Madia Ricks; Anita V Tambay; Nilo A Avila; Francine Thomas; Estelle V Lambert; Naomi S Levitt; Juliet Evans; Charles N Rotimi; Marshall K Tulloch-Reid; Julia H Goedecke
Journal:  Obesity (Silver Spring)       Date:  2010-09-16       Impact factor: 5.002

4.  Review: Metabolic Syndrome in Black South African Women.

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5.  A cross-sectional analysis of the association between age and gender and prescribed minimum benefit chronic disease list conditions among South Africans with concomitant hypertension, diabetes and dyslipidaemia.

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6.  Coping and metabolic syndrome indicators in urban black South African men: the SABPA study.

Authors:  A du Plessis; L Malan; N T Malan
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7.  Prevalence of metabolic syndrome among an urban population in Kenya.

Authors:  Lydia U Kaduka; Yeri Kombe; Eucharia Kenya; Elizabeth Kuria; John K Bore; Zipporah N Bukania; Moses Mwangi
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8.  A Faith-Integrated Physical Activity Intervention and Cardiometabolic Risk in African American Women.

Authors:  Lyndsey M Hornbuckle; Ziya Gizlice; Daniel P Heil; Melicia C Whitt-Glover
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9.  Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners.

Authors:  Megan A Rensburg; Tandi Matsha; Mariza Hoffmann; Mogamat S Hassan; Rajiv T Erasmus
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Review 10.  Disparities in Cardiovascular Disease and Type 2 Diabetes Risk Factors in Blacks and Whites: Dissecting Racial Paradox of Metabolic Syndrome.

Authors:  Kwame Osei; Trudy Gaillard
Journal:  Front Endocrinol (Lausanne)       Date:  2017-08-31       Impact factor: 5.555

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