Literature DB >> 14632262

Factor analysis and defining the metabolic syndrome.

Earl S Ford1.   

Abstract

OBJECTIVE: The metabolic syndrome has been referred to as a number of metabolic or physiologic abnormalities that occur together more often than would be predicted by chance. Considerable controversy exists about the exact abnormalities that are a part of this syndrome. The aim of this study was to examine the interrelations between these abnormalities.
DESIGN: National Health and Nutrition Examination Survey (1988-1994), a national cross-sectional health survey.
SETTING: United States. PARTICIPANTS: Persons aged > or = 20 years (N=6868). MAIN OUTCOME MEASUREMENTS: Factors composed of variables often associated with the metabolic syndrome derived from principal components analysis.
RESULTS: Depending on the subgroup studied, the analyses suggested that at least 2 or 3 components were needed to explain the majority of variance in a set of variables. Regardless of age group, sex, race or ethnicity, 4 variables (waist circumference, fasting insulin, triglycerides, and high-density lipoprotein cholesterol) consistently loaded together on the first component, which is consistent with a metabolic syndrome factor. Some differences in the number of factors and the loading patterns occurred among 3 age groups and among men and women. Relatively minimal race or ethnic variation was observed when the data were stratified by sex. A subanalysis that included leptin concentrations produced a similar set of factors as the analysis without leptin concentration. Furthermore, leptin concentration did not provide a unifying explanation for the set of factors.
CONCLUSIONS: Patterns of factors of variables, often associated with the metabolic syndrome, tended to be similar among Whites, African Americans, and Mexican Americans.

Entities:  

Mesh:

Year:  2003        PMID: 14632262

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  8 in total

1.  Risk profiles for metabolic syndrome in a nonclinical sample of adolescent girls.

Authors:  Alison K Ventura; Eric Loken; Leann L Birch
Journal:  Pediatrics       Date:  2006-12       Impact factor: 7.124

Review 2.  The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  R Kahn; J Buse; E Ferrannini; M Stern
Journal:  Diabetologia       Date:  2005-09       Impact factor: 10.122

3.  Ethnic differences in low-density lipoprotein particle size in hypertensive adults.

Authors:  Iftikhar J Kullo; M Fuad Jan; Kent R Bailey; Thomas H Mosley; Stephen T Turner
Journal:  J Clin Lipidol       Date:  2007-07       Impact factor: 4.766

4.  Correspondence analysis is a useful tool to uncover the relationships among categorical variables.

Authors:  Nadia Sourial; Christina Wolfson; Bin Zhu; Jacqueline Quail; John Fletcher; Sathya Karunananthan; Karen Bandeen-Roche; François Béland; Howard Bergman
Journal:  J Clin Epidemiol       Date:  2009-11-06       Impact factor: 6.437

5.  The relative risk of cardiovascular death among racial and ethnic minorities with metabolic syndrome: data from the NHANES-II mortality follow-up.

Authors:  David Martins; Naureen Tareen; Godwin Ogedegbe; Deyu Pan; Keith Norris
Journal:  J Natl Med Assoc       Date:  2008-05       Impact factor: 1.798

6.  Artificial selection for whole animal low intrinsic aerobic capacity co-segregates with hypoxia-induced cardiac pump failure.

Authors:  Nathan J Palpant; Michael L Szatkowski; Wang Wang; DeWayne Townsend; Fikru B Bedada; Lauren G Koch; Steven L Britton; Joseph M Metzger
Journal:  PLoS One       Date:  2009-07-01       Impact factor: 3.240

7.  An evaluation of the metabolic syndrome in a large multi-ethnic study: the Family Blood Pressure Program.

Authors:  Aldi T Kraja; D C Rao; Alan B Weder; Thomas H Mosley; Stephen T Turner; Chao Agnes Hsiung; Thomas Quertermous; Richard Cooper; J David Curb; Michael A Province
Journal:  Nutr Metab (Lond)       Date:  2005-08-02       Impact factor: 4.169

8.  Obesity and high blood pressure: a clinical phenotype for the insulin resistance syndrome in African Americans.

Authors:  Kimberly L Campbell; Harvey Kushner; Bonita Falkner
Journal:  J Clin Hypertens (Greenwich)       Date:  2004-07       Impact factor: 3.738

  8 in total

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