RESUMO
The prevalence of obesity has doubled, with a concomitant increase in cardiovascular disease. This study aimed to compare the characteristics of visceral, subcutaneous and peri-aortic adipose tissue determined with computed tomography (CT) scans and to correlate them with cardiovascular risk factors, anthropometric measures and medication. An observational and prospective study was conducted, and 177 subjects were included. Peri-aortic adipose tissue had the highest density, while the subcutaneous adipose tissue had the lowest. The density of subcutaneous adipose tissue differs from the density of visceral (p = 0.00) and peri-aortic adipose tissue (p = 0.00). Smokers/ex-smokers had a lower area (p = 0.00) and density (p = 0.02) of subcutaneous adipose tissue. Multiple linear regression analysis showed that sex was a predictor of subcutaneous adipose tissue area (ß = -0.27, t = -3.12, p = 0.00) but smoking habits were not. After controlling for sex, we found that the association between smokers/ex-smokers and area of subcutaneous adipose tissue was lost, but the association with density persisted. Patients with hypertension had a higher visceral adipose tissue area, and this relationship was maintained even after adjusting for gender. Peri-aortic adipose tissue is similar to visceral and distinct from subcutaneous adipose tissue. Cardiovascular risk factors have different influences in distinct adipose compartments.
RESUMO
BACKGROUND: Sarcopenia is defined as low muscle mass, with low muscle strength or low physical performance. The skeletal muscle mass (or density) and strength are inversely associated with cardiovascular risk factors. We aim to determine the relationship between skeletal muscle characteristics (strength, mass, area), and cardiovascular risk factors in a population with lower extremity artery disease (LEAD). METHODS: An observational, prospective study including patients with LEAD was conducted from January 2018 to December 2020. The cardiovascular risk factors and anthropometric measurements were prospectively registered. The skeletal muscle characteristics (area, density/mass and strength) were analysed. The skeletal muscle area and density were quantified with a CT scan. The strength was determined with a Jamar® hydraulic hand dynamometer. RESULTS: A total of 96 patients with LEAD with 67.70 ± 10.11 years-old were enrolled in the study. The most prevalent cardiovascular risk factor was hypertension, followed by dyslipidemia and diabetes. Patients with diabetes had a lower handgrip strength and skeletal muscle density, when compared with patients without diabetes (strength: 19.67 ± 9.98 kgf vs. 26.79 ± 11.80 kgf, P = 0.002 and skeletal muscle density: 10.58 ± 17.61 HU vs. 18.17 ± 15.33 HU, P = 0.032). There was a trend for the association between the presence of cardiovascular risk factors (hypertension and dyslipidemia) and a decrease in skeletal muscle density and strength (density: hypertension: 13.46 ± 16.74 HU vs. 20.38 ± 11.63 HU P=0.055; dyslipidemia: 13.57 ± 17.16 HU vs. 17.74 ± 13.00 HU P= 0.315; strength- hypertension: 22.55 ± 10.08 kgf vs. 27.58 ± 15.11 P= 0.073; dyslipidemia: 22.80 ± 10.52 kgf vs. 25.28 ± 13.14 kgf P= 0.315). Interestingly, we found that smokers had a favorable skeletal muscle characteristic, which could be explained by the higher prevalence of diabetes in nonsmokers. CONCLUSIONS: The indicators of skeletal muscle dysfunction (strength and density) are associated to the presence of diabetes in patients with LEAD. Therapeutic strategies to improve the skeletal muscle characteristics could have a role in improving LEAD risk factors, particularly diabetes.