RESUMO
The ratio between fat mass (FM) and fat-free mass (FFM) has been used to discriminate individual differences in body composition and improve prediction of metabolic risk. Here, we evaluated whether the use of a visceral adipose tissue-to-fat-free mass index (VAT:FFMI) ratio was a better predictor of metabolic risk than a fat mass index to fat-free mass index (FMI:FFMI) ratio. This is a cross-sectional study including 3441 adult participants (age range 18-81; men/women: 977/2464). FM and FFM were measured by bioelectrical impedance analysis and VAT by ultrasonography. A continuous metabolic risk Z score and harmonised international criteria were used to define cumulative metabolic risk and metabolic syndrome (MetS), respectively. Multivariate logistic and linear regression models were used to test associations between body composition indexes and metabolic risk. In unadjusted models, VAT:FFMI was a better predictor of MetS (OR 8.03, 95%CI 6.69-9.65) compared to FMI:FFMI (OR 2.91, 95%CI 2.45-3.46). However, the strength of association of VAT:FFMI and FMI:FFMI became comparable when models were adjusted for age, gender, clinical and sociodemographic factors (OR 4.06, 95%CI 3.31-4.97; OR 4.25, 95%CI 3.42-5.27, respectively). A similar pattern was observed for the association of the two indexes with the metabolic risk Z score (VAT:FFMI: unadjusted b = 0.69 ± 0.03, adjusted b = 0.36 ± 0.03; FMI:FFMI: unadjusted b = 0.28 ± 0.028, adjusted b = 0.38 ± 0.02). Our results suggest that there is no real advantage in using either VAT:FFMI or FMI:FFMI ratios as a predictor of metabolic risk in adults. However, these results warrant confirmation in longitudinal studies.
Assuntos
Composição Corporal , Síndrome Metabólica/fisiopatologia , Músculo Esquelético/metabolismo , Obesidade/fisiopatologia , Sarcopenia/fisiopatologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Índice de Massa Corporal , Estudos Transversais , Impedância Elétrica , Feminino , Humanos , Itália/epidemiologia , Masculino , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/etiologia , Pessoa de Meia-Idade , Obesidade/complicações , Obesidade/epidemiologia , Razão de Chances , Fenótipo , Sarcopenia/epidemiologia , Sarcopenia/etiologiaRESUMO
Computed tomography (CT) was used to examine the knee joint in 175 patients with various pathological conditions. In 118 of these patients a unique technique of study was employed. This technique is based on thin slices, a high resolution reconstruction program, and routine multiplanar reconstructions, without intraarticular contrast medium administration. In 36 patients studied with this technique, surgery was performed, thus permitting verification of the CT patterns. We concluded that CT may identify lesions of menisci, cruciate and collateral ligaments, and other pathologic conditions with at least 90% accuracy.
