Crisieli Maria Tomeleri1, Cláudia Regina Cavaglieri2, Mariana Ferreira de Souza3, Edilaine Fungari Cavalcante4, Melissa Antunes4, Hellen Clair Garcez Nabbuco4, Danielle Venturini5, Decio Sabbatini Barbosa5, Analiza Mônica Silva6, Edilson Serpeloni Cyrino4. 1. Metabolism, Nutrition, and Exercise Laboratory, Londrina State University, Londrina, Brazil; Exercise Physiology Laboratory, Faculty of Physical Education, University of Campinas - Unicamp, Brazil. Electronic address: crisieli@uol.com.br. 2. Exercise Physiology Laboratory, Faculty of Physical Education, University of Campinas - Unicamp, Brazil. 3. Metabolism, Nutrition, and Exercise Laboratory, Londrina State University, Londrina, Brazil; Department of Physical Education, Federal University of Vale do São Francisco, Petrolina, Brazil. 4. Metabolism, Nutrition, and Exercise Laboratory, Londrina State University, Londrina, Brazil. 5. Metabolism, Nutrition, and Exercise Laboratory, Londrina State University, Londrina, Brazil; Clinical Analyses Laboratory, Londrina State University, Londrina, Brazil. 6. Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal.
Abstract
BACKGROUND: The aim of this study was to examine the relation between phase angle (PhA) and inflammatory and oxidative stress biomarkers in older women. METHODS: One hundred and fifty-five physically independent older women participated in this study (67.7±5.7years, 27.0±4.4kg/m2). Inflammatory markers included interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-α), and acute phase reactive protein (CRP). Oxidative stress biomarkers comprised superoxide dismutase (SOD), catalase (CAT), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant potential (TRAP). A spectral bioelectrical impedance device was used to estimate resistance (R) and reactance (Xc) at frequency 50kHz, and subsequently PhA was calculated as arc-tangent (Xc/R)×180°/π. The covariates appendicular lean soft-tissue (ALST), trunk fat mass, and total body fat were determined by whole-body dual-energy X-ray absorptiometry. Linear regression analysis was conducted to further test if PhA is related with the dependent variables, after adjusting for potential covariates. RESULTS: After controlling for the potential covariates (age, trunk fat mass, ALST, and number of diseases) PhA exhibited a significant inverse relation with IL-6 (β=-0.97; P<0.01), TNF-α (β=-0.84; P<0.01), and CRP (β=-0.58; P<0.01). Conversely, PhA was significantly related to CAT (β=7.27; P<0.01), SOD (β=10.55; P<0.01) and TRAP (β=73.08; P<0.01). The AOPP did not demonstrate a significant correlation with PhA (P>0.05). CONCLUSION: Our findings show that PhA is a simple and relevant explanatory variable which is related inflammatory and stress oxidative markers in physically independent older women, regardless of age, number of diseases, and body composition.
BACKGROUND: The aim of this study was to examine the relation between phase angle (PhA) and inflammatory and oxidative stress biomarkers in older women. METHODS: One hundred and fifty-five physically independent older women participated in this study (67.7±5.7years, 27.0±4.4kg/m2). Inflammatory markers included interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-α), and acute phase reactive protein (CRP). Oxidative stress biomarkers comprised superoxide dismutase (SOD), catalase (CAT), advanced oxidation protein products (AOPP), and total radical-trapping antioxidant potential (TRAP). A spectral bioelectrical impedance device was used to estimate resistance (R) and reactance (Xc) at frequency 50kHz, and subsequently PhA was calculated as arc-tangent (Xc/R)×180°/π. The covariates appendicular lean soft-tissue (ALST), trunk fat mass, and total body fat were determined by whole-body dual-energy X-ray absorptiometry. Linear regression analysis was conducted to further test if PhA is related with the dependent variables, after adjusting for potential covariates. RESULTS: After controlling for the potential covariates (age, trunk fat mass, ALST, and number of diseases) PhA exhibited a significant inverse relation with IL-6 (β=-0.97; P<0.01), TNF-α (β=-0.84; P<0.01), and CRP (β=-0.58; P<0.01). Conversely, PhA was significantly related to CAT (β=7.27; P<0.01), SOD (β=10.55; P<0.01) and TRAP (β=73.08; P<0.01). The AOPP did not demonstrate a significant correlation with PhA (P>0.05). CONCLUSION: Our findings show that PhA is a simple and relevant explanatory variable which is related inflammatory and stress oxidative markers in physically independent older women, regardless of age, number of diseases, and body composition.
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