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Clinical Question:
Is the value of body fat mass (%FM) has more advantage than BMI and WC in
the assessment of metabolic risk factors?
Bottom Line:
At the population level, measurement of body FM has no advantage over BMI
and WC in the prediction of obesity-related metabolic risk. Although
measures of central adiposity (WC, WC/ht) tended to show closer associations
with risk factors than measures of general adiposity, the differences were
small and depended on the type of risk factor and sex, suggesting an
equivalent value of methods.
Reference:
Value of body fat mass vs anthropometric obesity indices in the assessment
of metabolic risk factors.Bosy-Westphal A, Geisler C, Onur S, Korth O,
Selberg O, Schrezenmeir J, Muller MJ.Int J Obes (Lond). 2005 Nov 1
Synopsis:
To compare the value of body fat mass (%FM) to indirect measures of general
(body mass index (BMI)) and central adiposity (waist circumference (WC);
waist-to-height ratio (WC/ht)) for the prediction of overweight- and
obesity-related metabolic risk in a study population with a high prevalence
of metabolic syndrome (MSX).BMI, WC, WC/ht, body composition (by
air-displacement plethysmography) and metabolic risk factors: triglycerides,
cholesterol, HDL-cholesterol (HDL-C), uric acid, systolic blood pressure (BPsys),
insulin resistance by homeostasis model assessment (HOMA-IR) and C-reactive
protein (CRP) were measured in 335 adults (191 women, 144 men; mean age 53
+/-13.9 years, prevalence of MSX 30%).When compared with BMI and WC, %FM
showed weaker associations with metabolic risk factors, except for CRP and
BPsys in men. In women, HDL-C and HOMA-IR showed the closest correlations
with BMI. For all other risk factors, WC or WC/ht were the best predictors
in both sexes. Differences in the strength of correlations between an
obesity index and different risk factors exceeded the differences observed
between all obesity indices within one risk factor. In stepwise multiple
regression analyses, WC/ht was the main predictor of metabolic risk in both
sexes combined. However, analysis of the area under receiver operating
characteristic curves for prediction of the prevalence of >/=2 component
traits of the MSX revealed a similar accuracy of all obesity indices. |