Relation of body composition indexes to cardiovascular disease risk factors in young adults.

Autor:	Kammar-García A; Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico. Electronic address: kammar_nutrition@hotmail.com., Hernández-Hernández ME; Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico., López-Moreno P; Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico., Ortíz-Bueno AM; Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico., Martínez-Montaño ML; Biochemistry Department, School of Medicine, Benemérita Universidad Autónoma de Puebla, Mexico.
Jazyk:	angličtina
Zdroj:	Semergen [Semergen] 2019 Apr; Vol. 45 (3), pp. 147-155. Date of Electronic Publication: 2018 Oct 13.
DOI:	10.1016/j.semerg.2018.07.004
Abstrakt:	Background: To evaluate the relationship of body composition indexes with altered metabolic analytical parameters that show higher risk of cardiovascular disease in young adults. Material and Methods: A cross-sectional study. Sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Hip Circumference (HC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-height Ratio (WHtR), and Waist-Hip Ratio (WHR), conicity index (C-Index), body surface area (BSA), abdominal volume index (AVI) and deep abdominal adipose-tissue (AT). Areas under receiver operating characteristic curves (AUCs) and odds ratios for the parameters were analyzed and their optimal cut-offs. Separately a MANOVA was applied to altered metabolic analytical parameters and two body composition indexes (BMI and BSA) and their interaction. Results: BMI correlate significantly with metabolic analytical parameters (FPG r=0.08, TCh r=0.14, TGL r=0.23, HDL-C r=-0.23, LDL-C r=0.2, UA r=0.22, All P<0.01), BSA correlate with all (All P<0.001) except FPG. BMI and BSA correlate significantly with all metabolic analytical parameters (All P<0.001). The BMI individually predicts the changes of the six metabolic analytical parameters as a set [Wilk's λ=0.89, F(18,1570)=3.4, P<0.0001], but not BSA [Wilk's λ=0.98, F(6,555)=1.4, P=0.18], the interaction between these two indexes (BMI and BSA altered in the same individual) significantly predicts changes of the six metabolic analytical parameters of cardiovascular disease risk [Wilk's λ=0.97, F(6,555)=2.3, P=0.03]. Conclusions: BMI and BSA correlate with cardiovascular disease risk factor. They are superior to WC, WHtR, WHR, BF%, C-index, AVI and AT. (Copyright © 2018 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.)
Databáze:	MEDLINE
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