Document Detail

Influence of body fat content and distribution on variation in metabolic risk.
MedLine Citation:
PMID:  16926254     Owner:  NLM     Status:  MEDLINE    
OBJECTIVES: Several reports indicate that the body fat compartments, especially ip fat, predict metabolic risk better than total body fat. The objective of the study was to determine whether this can be confirmed and generalized throughout the population. PARTICIPANTS: A representative sample of 1934 Black and White women and men of the Dallas Heart Study participated in the study. DESIGN: We measured the fat in total body, trunk, and lower body with dual-energy x-ray absorptiometry and in abdominal compartments (sc, ip, and retroperitoneal) with magnetic resonance imaging. Other measurements included body mass index (BMI), waist circumference, blood pressure, plasma lipids, glucose, insulin (including homeostasis model), and C-reactive protein. RESULTS: In all groups, total body fat correlated positively with key metabolic risk factors, i.e. homeostasis model, triglyceride/high-density lipoprotein-cholesterol ratios, C-reactive protein, and blood pressure; however, it explained less than one third of the variability of all the risk factors. After adjustment for total body fat, truncal fat conferred additional positive correlation with risk factors. Furthermore, with multivariable regression analysis, ip fat conferred independent correlation with plasma lipids beyond a combination of other compartments including truncal fat. Still, except for insulin levels, all combinations including ip fat still explained less than one third of the variability in risk-factor levels. Conversely, lower body fat correlated negatively with risk factors; i.e. lower body fat appeared to offer some protection against risk factors. CONCLUSIONS: Body fat distribution has some influence on risk factors beyond total body fat content. Both waist circumference and BMI significantly predicted risk factors after adjustment for total body fat, and for clinical purposes, most of the predictive power for men was contained in waist circumference, whereas for women, BMI and waist circumference were similarly predictive. Finally, even though the correlations between combined body fat parameters and risk factors explained only a portion of the variation in the latter, the average number of categorical metabolic risk factors increased progressively with increasing obesity. Hence, obesity seemingly has more clinical impact than revealed in these correlative studies.
Gloria Lena Vega; Beverley Adams-Huet; Ron Peshock; Duwayne Willett; Brijen Shah; Scott M Grundy
Related Documents :
23431404 - Cardiac-specific overexpression of metallothionein rescues against cigarette smoking ex...
23840344 - Lifestyle-associated risk factors for community-acquired methicillin-resistant staphylo...
11254914 - Left ventricular mass and correlated atherosclerotic risk factors in young adolescents:...
8763424 - Endocrine factors in pre- and postmenopausal women with hidradenitis suppurativa.
11779954 - Current status of fertility control methods in india.
25125534 - The diagnostic utility of d-dimer, and other clinical variables in pregnant and postpar...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2006-08-22
Journal Detail:
Title:  The Journal of clinical endocrinology and metabolism     Volume:  91     ISSN:  0021-972X     ISO Abbreviation:  J. Clin. Endocrinol. Metab.     Publication Date:  2006 Nov 
Date Detail:
Created Date:  2006-11-07     Completed Date:  2007-01-12     Revised Date:  2007-12-03    
Medline Journal Info:
Nlm Unique ID:  0375362     Medline TA:  J Clin Endocrinol Metab     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4459-66     Citation Subset:  AIM; IM    
Donald W.Reynolds Cardiovascular Clinical Research Center and Department of Internal Medicine, Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9052, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
African Continental Ancestry Group / statistics & numerical data
Body Composition / physiology*
Body Fat Distribution*
Body Mass Index
European Continental Ancestry Group / statistics & numerical data
Metabolic Syndrome X / epidemiology*,  ethnology,  etiology
Middle Aged
Regression Analysis
Risk Factors
Waist-Hip Ratio
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Endocrine dysfunction in patients with Fabry disease.
Next Document:  SHBG gene promoter polymorphisms in men are associated with serum sex hormone-binding globulin, andr...