Contributions of total and regional fat mass to risk for cardiovascular disease in older women

R. E. Van Pelt, E. M. Evans, K. B. Schechtman, A. A. Ehsani, W. M. Kohrt

Research output: Contribution to journalArticlepeer-review

192 Scopus citations

Abstract

The aim of this study was to determine whether trunk fat mass, measured by dual-energy X-ray absorptiometry (DEXA), is predictive of insulin resistance and dyslipidemia, independently of arm and leg fat mass, in postmenopausal women. Total and regional body composition was measured by DEXA in 166 healthy, postmenopausal women (66 ± 4 yr). Four primary markers of insulin resistance and dyslipidemia were assessed: 1) area under the curve for the insulin (INSAUC) response to an oral glucose tolerance test (OGTT), 2) product of the OGTT glucose and insulin areas (INSAUCXGLUAUC), 3) serum tri- glycerides (TG), and 4) high-density lipoprotein (HDL)-cholesterol. Trunk fat mass was the strongest independent predictor of each of the primary dependent variables. In multivariate regression models, trunk fat mass was associated with unfavorable levels of INSAUC, INSAUCXGLUAUC, TG, and HDL-C, whereas leg fat mass was favorably associated with each of these variables. Thus trunk fat is a strong independent predictor of insulin resistance and dyslipidemia in postmenopausal women, whereas leg fat appears to confer protective effects against metabolic dysfunction.

Original languageEnglish
Pages (from-to)E1023-E1028
JournalAmerican Journal of Physiology - Endocrinology and Metabolism
Volume282
Issue number5 45-5
DOIs
StatePublished - 2002

Keywords

  • Disease risk
  • Leg fat
  • Postmenopausal women
  • Trunk fat

Fingerprint Dive into the research topics of 'Contributions of total and regional fat mass to risk for cardiovascular disease in older women'. Together they form a unique fingerprint.

Cite this