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Revista Clínica de Medicina de Familia

On-line version ISSN 2386-8201Print version ISSN 1699-695X


FRANQUELO MORALES, Pablo et al. Association between different measures of body composition and cardiovascular risk factors in the adult population. Rev Clin Med Fam [online]. 2008, vol.2, n.4, pp.149-155. ISSN 2386-8201.

Objective: To assess the degree of agreement between fat indicators obtained by calculating anthropometric and analytical parameters and measurements with an electric impedance meter with 4 and 8 electrodes. Design: Observational, cross-sectional study. Setting: Urban health centre of the city of Cuenca. Subjects. A random sample of 110 individuals between 25 and 60 years was selected through voluntary petition for collaboration, during the months of March and April 2007. Main measurements: Socio-demographic (age and gender), anthropometric: (weight, height, waistcircumference, hip circumference and tricipital fold (PCT)) and analytical variables (total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides(TG), Apo A1, Apo B, basal glucose levels and basal insulin) and % body fat obtained by an impedance electric meter with 4 and 8 electrodes were recorded. Results: There were no statistically significant differences in the analytical parameters of the lipidprofile (total cholesterol, HDL and LDL) between the 2 groups. There were significantly higher basal glucose levels (110.9 ± 22.5 versus 98.9 ± 19.08 mg / dL) and basal insulin levels (24.3 ± 12.5 versus 8.95 ± 2.92 mg / dL) in individuals with insulin resistance (IR). IR correlated positively and significantly with % body fat obtained by 4 electrodes (r = 0. 31), 8 electrodes (r = 0.26) and waist / height ratio (r = 0.22). Conclusions: In clinical practice, the determination of excess body fat and IR with BIO 4 seems better than with BIO 8, showing a high reliability between the two. However, waist height index (ICA) is presented as a good method for estimating IR, as well as being simple, convenient and accessible in Primary Care clinics.

Keywords : Obesity; Insulin Resistance.

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