1 research outputs found
Sagital Abdominal Diameter, But Not Waist Circumference Is Strongly Associated With Glycemia, Triacilglycerols And Hdl-c Levels In Overweight Adults [diámetro Abdominal Sagital, Pero No La Circunferencia De La Cintura Se Asocia Fuertemente Con La Glucemia, Triacilglycerols Y Hdl-c En Adultos Con Sobrepeso]
Aim: To correlate the sagittal abdominal diameter (SAD) and waist circumference (WC) with metabolic syndrome-associated abnormalities in adults. Methods: This cross-sectional study included one-hundred twelve adults (M = 27, F = 85) aging 54.0 ± 11.2 yrs and average body mass index (BMI) of 30.5 ± 9.0 kg/m 2. The assessment included blood pressure, plasma and anthropometric measurements. Results: In both men and female, SAD and WC were associated positively with body fat% (r = 0.53 vs r = 0.55), uric acid (r = 0.45 vs r = 0.45), us-PCR (r = 0.50 vs r = 0.44), insulin (r = 0.89 vs r = 0.75), insulin resistance HOMA-IR (r = 0.86 vs r = 0.65), LDL-ox (r = 0.51 vs r = 0.28), GGT (r = 0.70 vs r = 0.61), and diastolic blood pressure (r = 0.35 vs r = 0.33), and negatively with insulin sensibility QUICKI (r = -0.89 vs r = -0.82) and total choles-terol/TG ratio (r = -0.40 vs r = -0.22). Glycemia, TG, and HDL-c were associated significantly only with SAD (r = 0.31; r = 39, r = -0.43, respectively). Conclusion: Though the SAD and WC were associated with numerous metabolic abnormalities, only SAD correlated with dyslipidemia (TG and HDL-c) and hyperglycemia (glycemia).26511251129Fuller, N.J., Jebb, S.A., Laskey, M.A., Coward, W.A., Ella, M., Four-component model for the assessment of body composition in humans: Comparison with alternative methods, and evaluation of the density and hydration of fat-free mass (1992) Clin Sci, 82 (6), pp. 687-693Biaggi, R.R., Vollman, M.W., Nies, M.A., Brener, C.E., Flakoll, P.L., Levenhagen, D.K., Comparison of air-displacement plethysmography with hydrostatic weighing and bioelectrical impedance analysis for the assessment of body composition in healthy adults (1999) Am J Clin Nutr, 69 (5), pp. 898-903Risérus, U., Arnlov, J., Brismar, K., Zethelius, B., Berglund, L., Vessby, B., Sagittal abdominal diameter is a strong anthropometric marker of insulin resistance and hyperproinsulinemia in obese men (2004) Diabetes Care, 27 (8), pp. 2041-2046Öhrvall, M., Berglund, L., Vessby, B., Sagittal abdominal diameter compared with other anthropometric measurements in relation to cardiovascular risk (2000) Int J Obes, 24 (4), pp. 497-501Petersson, H., Daryani, A., Riserus, U., Sagittal abdominal diameter as a marker of inflammation and insulin resistance among immigrant women from the Middle East and native Swedish women: A cross-sectional study (2007) CardDiabetol, 6, pp. 1-7Brekke, H.K., Lenner, R.A., Taskinen, M.R., Mansson, J.E., Funahashi, T., Matsuzawa, Lifestyle modification improves risk factors in type 2 diabetes relatives (2005) Diabetes Res Clin Prac, 68 (1), pp. 18-28Pimentel, G.D., Portero-Mclellan, K.C., Oliveira, E.R., Spada, A.P., Oshiiwa, M., Zemdegs, J.C., Long-term nutrition education reduces several risk factors for type 2 diabetes mellitus in Brazilians with impaired glucose tolerance (2010) Nutr Res, 30 (3), pp. 186-190Albert, K.G., Zimmet, P., Shaw, J., The metabolic syndrome-a new worldwide definition (2005) Lancet, 366 (9491), pp. 1059-1062Grundy, S.M., Hypertriglyceridemia, insulin resistance, and the metabolic syndrome (1992) Am J Cardiol, 83 (9 B), pp. 25-29Nordhamn, K., Sodergren, E., Olsson, E., Karlstrom, B., Vessby, B., Berglund, L., Reliability of anthropometric measurements in overweight and lean subjects: Consequences for correlations between anthropometric and other variables (2000) Int J Obes, 24 (5), pp. 652-657Schoen, R.E., Thaete, F.L., Sankey, S.S., Weissfeld, J.L., Kuller, L.H., Sagittal diameter in comparison with single slice CT as a predictor of total visceral adipose tissue volume (1998) Int J Obes RelatMetab Disord, 22 (4), pp. 338-342Frenhani, P.B., Pimentel, G.D., Portero-Mclellan, K.C., Burini, R.C., Sagittal abdominal diameter as a predictor of visceral abdominal fat, insulin resistance, dyslipidemia and inflammation in overweight Brazilian adults (2008) Clin Nutr Suppl, 3 (SUPPL. 1), p. 126. , AbstractHeyward, V.H., Stolarczyk, L.M., Avaliagao da composigao corporal aplicada (2000) Led, , Barueri: Sao PauloSegal, K.R., van Loan, M., Fitzgerald, P.I., Hodgdon, J.A., van Itallie, T.B., Lean body mass estimation by bioeletrical impedance analysis: A four-site cross-validation study (1988) Am J Clin Nutr, 47 (1), pp. 7-14Friedewald, T., Levy, R.I., Frederickson, D.S., Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge (1972) Clin Chem, 18 (6), pp. 499-502Tsimihodimos, V., Gazi, I., Kostara, C., Tselepis, A.D., Elisaf, M., Plasma lipoproteins and triacylglycerol are predictors of small, dense LDL particles (2007) Lipids, 42 (5), pp. 403-409Levy, J., Mattews, D.R., Hermans, M.P., Correct homeostasis model assessment (HOMA) evaluation uses the computer program (1998) Diabetes Care, 21 (12), pp. 2191-2192Clasey, J.L., Bouchard, C., Teates, C.D., Riblett, J.E., Thorner, M.O., Hartman, M.L., The use of anthropometric and dual-energy X-ray absorptiometry (DXA) measures to estimate total abdominal and abdominal visceral fat in men and women (1999) Obes Tfes, 7 (3), pp. 256-264Piernas Sanchez, C.M., Morales Falo, E.M., Zamora Navarro, S., Garaulet Aza, M., Study and classification of the abdominal adiposity throughout the application of the two-dimensional predictive equation Garaulet et al., in the clinical practice (2010) Nutr Hosp, 25 (2), pp. 270-274Koenig, W., Sund, M., Frohlich, M., Fischer, H.G., d Lówel, H., Dóring, A., C-Reactive protein, a sensitive marker of inflammation, predicts future risk of coronary heart disease in initially healthy middle-aged men: Results from the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Augsburg Cohort Study, 1984 to 1992 (1999) Circulation, 99 (2), pp. 237-242Tracy, R.P., Lemaitre, R.N., Psaty, B.M., Ives, D.G., Evans, R.W., Cushman, M., Relationship of C-reactive protein to risk of cardiovascular disease in the elderly. Results from the Cardiovascular Health Study and the Rural Health Promotion Project (1997) ArteriosclerThromb Vase Biol, 17 (6), pp. 1121-1127Valsamakis, G., Chetty, R., Anwar, A., Banerjee, A.K., Barnett, A., Kumar, S., Association of simple anthropometric measures of obesity with visceral fat and the metabolic syndrome in male Caucasian and Indo-Asian subjects (2004) Diabet Med, 21 (12), pp. 1339-1345Pimentel, G.D., Portero-Mclellan, K.C., Maesta, N., Corrente, J.E., Burini, R.C., Accuracy of sagittal abdominal diameter as predictor of abdominal fat among Brazilian adults: A compara-tion with waist circumference (2010) NutrHosp, 25 (4), pp. 656-661Lo ́pez de la Torre, M., Bellido, D., Soto, A., Carreira, J., Hernandez Mijares, A., Standardisation of the waist circumference (WC) for each range of body mass index (BMI) in adult outpatients attended to in Endocrinology and Nutrition departments (2010) Nutr Hosp, 25 (2), pp. 262-26