Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0311277 (abdominal obesity)
 2,792 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Waist girth (WG) is regarded as the most significant anthropometric parameter associated with cardiovascular risk. The objective of the present study was to strengthen WG as an obesity marker by basing WG assessment not on gender but on individually measured body build characteristics that need not coincide with gender. We formulated a new marker, the Waist Reference Girth (WRG) and two corollaries, the Waist Deviation (WD) and the Percent Waist Deviation (%WD). The present research centered on deriving an equation for WRG from relevant trunk skeletal measurements that closely predicted WG in lean individuals. This equation would determine any individual's WRG and current WD. Trunk skeletal widths and chest depth as well as WG were measured on 507 physically active subjects (247 men and 260 women), predominantly lean young adults. Multiple regression analysis with the skeletal measurements as independent variables was performed on this data to predict WG. The unisex WRG equation WRG = Chest Sum x 1.635 predicted WG of 282 lean subjects (maximum WD of 4 cm) with R(2) of 0.87 (SEE of 3.0 cm). Male and female WG cutoff values for central obesity are usually taken at 94 cm and 80 cm respectively. For the average male and female WRG in this study (79 cm and 67.4 cm), these cutoff values are equivalent to WD of 15 cm and 12.6 cm respectively and to 19%WD for both genders (15/79 and 12.6/67.4). With %WD normalized for WRG, hence unaffected by intra-group or inter-group variations in the Chest Sum, %WD thresholds may better identify health risks linked to abdominal obesity than existing WG thresholds.
 ...
PMID:Waist girth normalized to body build in obesity assessment. 1573 9

The purpose of this study was to examine the effects of metabolic syndrome (MS) features on arterial elasticity of the large and small arteries in apparently healthy adults, to examine the effect of clustered features of MS, and to determine which features are most predictive of large and small artery elasticity. The subjects for this study consisted of 126 men and women, age 45 years and older. The subjects rested supine while pulse contour analysis was measured from the radial artery by using an HDI/Pulsewave CR-2000 instrument (Hypertension Diagnostic, Inc) to assess arterial elasticity in the large and small arteries. Medical history was obtained along with body mass index, waist circumference, body surface area, and blood pressure. Large artery elasticity was lower (p = 0.002) in subjects with hypertension (12.7 -/+ 4.3 mL/mm Hg x 10) than in those with normotension (15.0 -/+ 4.2 mL/mm Hg x 10; mean -/+ SD), and small artery elasticity was lower (p = 0.001) as well (3.9 -/+2.3 mL/mm Hg x 100 vs 5.3 -/+ 2.5 mL/mm Hg x 100). Large artery elasticity was lower (p = 0.02) in obese subjects (12.2 -/+ 4.9 mL/mm Hg x 10) than in nonobese subjects (14.2 -/+ 4.5 mL/mm Hg x 10), and large artery elasticity was lower (p = 0.04) in subjects with abdominal obesity (12.2 -/+ 4.5 mL/mm Hg x 10) than in those without (14.5 -/+ 4.8 mL/mm Hg x 10). Large artery elasticity decreased as the number of features of MS increased (p < 0.01). Multiple regression showed that body mass index and the presence of hypertension were predictors of large artery elasticity (R = 0.61, R2 = 0.37, p = 0.003, SEE = 3.60 mL/mm Hg x 10), and hypertension was a predictor of small artery elasticity (R = 0.53, R2 = 0.28, p = 0.001, SEE = 2.12 mL/mm Hg x 100). Hypertension and obesity are the features of MS that are most predictive of impairment in large and small artery elasticity in apparently healthy middle-aged and older adults. Furthermore, impairment in large artery elasticity is more evident in subjects with at least three features of MS.
 ...
PMID:The relationship between arterial elasticity and metabolic syndrome features. 1735 Nov 52