Literature DB >> 11574438

Do different dimensions of the metabolic syndrome change together over time? Evidence supporting obesity as the central feature.

P Maison1, C D Byrne, C N Hales, N E Day, N J Wareham.   

Abstract

OBJECTIVE: The metabolic syndrome is a loosely defined cluster of cardiovascular risk factors including low HDL cholesterol, hypertriglyceridemia, glucose intolerance, and hypertension. Evidence for inclusion of these features in the syndrome has mostly come from cross-sectional studies, and a few studies have examined how the various factors change together over time. RESEARCH DESIGN AND METHODS: We conducted a prospective population-based cohort study of 937 individuals aged 40-65 years who underwent oral glucose tolerance testing on two occasions at 4.5-year intervals. Changes in the components of the metabolic syndrome were analyzed by principal component analysis in the entire population and in a subgroup of 471 individuals who did not receive pharmaceutical therapy for hypertension and dyslipidemia.
RESULTS: Principal component analysis identified three independent factors in men: a blood pressure factor (systolic and diastolic blood pressure and BMI), a glucose factor (fasting and 120-min postload glucose, BMI, waist-to-hip ratio [WHR], and fasting insulin level), and a lipid factor (triglycerides and HDL cholesterol, BMI, WHR, and fasting insulin level). In women, an additional factor was identified, which included BMI, WHR, fasting insulin, and triglycerides. Analysis of the contribution of these variables to the different subdimensions indicated that BMI was the central feature of the syndrome in both sexes.
CONCLUSIONS: This analysis of change in the features of the metabolic syndrome over time provides evidence of the fundamental importance of obesity in the origin of this disorder.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11574438     DOI: 10.2337/diacare.24.10.1758

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  31 in total

1.  Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis.

Authors:  T A Hillier; A Rousseau; C Lange; P Lépinay; M Cailleau; M Novak; E Calliez; P Ducimetière; B Balkau
Journal:  Diabetologia       Date:  2006-05-16       Impact factor: 10.122

2.  Metabolic Clusters and Outcomes in Older Adults: The Cardiovascular Health Study.

Authors:  Kenneth J Mukamal; David S Siscovick; Ian H de Boer; Joachim H Ix; Jorge R Kizer; Luc Djoussé; Annette L Fitzpatrick; Russell P Tracy; Edward J Boyko; Steven E Kahn; Alice M Arnold
Journal:  J Am Geriatr Soc       Date:  2018-02       Impact factor: 5.562

3.  A Prospective Study of Weight and Metabolic Syndrome in Young Hispanic Children.

Authors:  Anna Maria Patiño-Fernández; Alan M Delamater; Lee Sanders; Arturo Brito; Ronald Goldberg
Journal:  Child Health Care       Date:  2008-10-01

Review 4.  Prediabetes mellitus and its links to atherosclerosis.

Authors:  Daniel Kramer; Annaswamy Raji; Jorge Plutzky
Journal:  Curr Diab Rep       Date:  2003-02       Impact factor: 4.810

5.  Metabolic syndrome in adolescents with spinal cord dysfunction.

Authors:  Mindy Dopler Nelson; Lana M Widman; Richard Ted Abresch; Kimber Stanhope; Peter J Havel; Dennis M Styne; Craig M McDonald
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

Review 6.  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

7.  Capacity for physical activity predicts weight loss after Roux-en-Y gastric bypass.

Authors:  Ida J Hatoum; Heather K Stein; Benjamin F Merrifield; Lee M Kaplan
Journal:  Obesity (Silver Spring)       Date:  2008-11-06       Impact factor: 5.002

8.  Longitudinal paths to the metabolic syndrome: can the incidence of the metabolic syndrome be predicted? The Baltimore Longitudinal Study of Aging.

Authors:  Angelo Scuteri; Christopher H Morrell; Samer S Najjar; Denis Muller; Reubin Andres; Luigi Ferrucci; Edward G Lakatta
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-03-06       Impact factor: 6.053

9.  Metabolomic changes in fatty liver can be modified by dietary protein and calcium during energy restriction.

Authors:  Taru-K Pilvi; Tuulikki Seppanen-Laakso; Helena Simolin; Piet Finckenberg; Anne Huotari; Karl-Heinz Herzig; Riitta Korpela; Matej Oresic; Eero-M Mervaala
Journal:  World J Gastroenterol       Date:  2008-07-28       Impact factor: 5.742

10.  Effect of weight reduction on metabolic syndrome in Korean obese patients.

Authors:  Hye Soon Park; Su Jung Sim; Jung Yul Park
Journal:  J Korean Med Sci       Date:  2004-04       Impact factor: 2.153

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.