Literature DB >> 7981183

Multivariate analysis of the insulin resistance syndrome in women.

K L Edwards1, M A Austin, B Newman, E Mayer, R M Krauss, J V Selby.   

Abstract

The insulin resistance syndrome (IRS) is characterized by a constellation of interrelated coronary heart disease (CHD) risk factors, including dyslipidemia, obesity, central obesity, elevated systolic blood pressure, and hyperinsulinemia. Factor analysis was used to investigate the clustering of these risk factors in individuals by examining the correlational structure among these variables. Data from 281 genetically unrelated nondiabetic women who participated in exam 2 (1979 to 1980) of the Kaiser Permanente Women Twins Study were used. Factor analysis reduced 10 correlated risk factors to 3 uncorrelated factors, each reflecting a different aspect of the IRS: factor 1 (increased body weight, waist circumference, fasting insulin, and glucose), factor 2 (increased postload and fasting glucose and insulin and systolic blood pressure), and factor 3 (larger low-density lipoprotein particles, decreased plasma triglycerides, and increased high-density lipoprotein). Together, the factors explained nearly 66% of the total variance in the data. Thus, factor analysis defined three distinct aspects of the IRS in this sample of nondiabetic women. These factors may reflect separate underlying mechanisms of the syndrome, each of which may also be involved in CHD risk.

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Year:  1994        PMID: 7981183     DOI: 10.1161/01.atv.14.12.1940

Source DB:  PubMed          Journal:  Arterioscler Thromb        ISSN: 1049-8834


  21 in total

Review 1.  Strategies and prospects for finding insulin resistance genes.

Authors:  M P Stern
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Review 2.  Genetic determinants of diabetes and atherosclerosis.

Authors:  Braxton D Mitchell; Ikhide G Imumorin
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3.  Insulin resistance is not necessarily an essential element of metabolic syndrome.

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4.  Heritability of longitudinal changes in coronary-heart-disease risk factors in women twins.

Authors:  Y Friedlander; M A Austin; B Newman; K Edwards; E I Mayer-Davis; M C King
Journal:  Am J Hum Genet       Date:  1997-06       Impact factor: 11.025

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6.  The factor structure of the metabolic syndrome in obese individuals with binge eating disorder.

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7.  Genome-wide linkage scan for factors of metabolic syndrome in a Chinese population.

Authors:  Claudia H T Tam; Vincent K L Lam; Wing-Yee So; Ronald C W Ma; Juliana C N Chan; Maggie C Y Ng
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8.  Factor analysis of metabolic syndrome components in severely obese girls and boys.

Authors:  C L Lafortuna; F Adorni; F Agosti; A De Col; R Zennaro; D Caranti; A Sartorio
Journal:  J Endocrinol Invest       Date:  2009-05-05       Impact factor: 4.256

9.  Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample.

Authors:  T S Han; E M van Leer; J C Seidell; M E Lean
Journal:  BMJ       Date:  1995-11-25

10.  The role of age in cardiovascular risk factor clustering in non-diabetic population free of coronary heart disease.

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Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

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