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Effect of exercise on glucose variability in healthy subjects: randomized crossover trial
The aim of this study was to evaluate the acute effect of aerobic (AER) and eccentric (ECC) exercise on glucose variability, correlating it with circulating markers of inflammation and oxidative stress in healthy subjects. Sixteen healthy subjects (32 ± 12 years old) wore a continuous glucose monito...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Institute of Sport in Warsaw
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561229/ https://www.ncbi.nlm.nih.gov/pubmed/31223191 http://dx.doi.org/10.5114/biolsport.2019.83006 |
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author | Figueira, Franciele Ramos Umpierre, Daniel Bock, Patrícia Martins Waclawovsky, Gustavo Guerra, Ana Paula Donelli, Anderson Andrades, Michael Casali, Karina Rabello Schaan, Beatriz D. |
author_facet | Figueira, Franciele Ramos Umpierre, Daniel Bock, Patrícia Martins Waclawovsky, Gustavo Guerra, Ana Paula Donelli, Anderson Andrades, Michael Casali, Karina Rabello Schaan, Beatriz D. |
author_sort | Figueira, Franciele Ramos |
collection | PubMed |
description | The aim of this study was to evaluate the acute effect of aerobic (AER) and eccentric (ECC) exercise on glucose variability, correlating it with circulating markers of inflammation and oxidative stress in healthy subjects. Sixteen healthy subjects (32 ± 12 years old) wore a continuous glucose monitoring system for three days. Participants randomly performed single AER and ECC exercise sessions. Glucose variability was evaluated by glucose variance (VAR), glucose coefficient of variation (CV%) and glucose standard deviation (SD). Blood samples were collected to evaluate inflammatory and oxidative stress markers. When compared with the pre-exercise period of 0-6 h, all the indices of glucose variability presented comparable reductions 12-18 h after both exercises (∆AER: VAR= 151.5, ∆CV% = 0.55 and ∆SD = 3.1 and ECC: ∆VAR = 221.2 , ∆CV% = 3.7 and ∆SD = 6.5). Increased interleukin-6 (IL-6) levels after AER (68.5%) and ECC (30.8%) (P<0.001) were observed, with no differences between sessions (P = 0.459). Uric acid levels were increased after exercise sessions (3% in AER and 4% in ECC, P = 0.001). In conclusion, both AER and ECC exercise sessions reduced glucose variability in healthy individuals. Inflammatory cytokines, such as IL-6, and stress oxidative markers might play a role in underlying mechanisms modulating the glucose variability responses to exercise (clinicalTrials.gov NCT02262208). |
format | Online Article Text |
id | pubmed-6561229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Institute of Sport in Warsaw |
record_format | MEDLINE/PubMed |
spelling | pubmed-65612292019-06-20 Effect of exercise on glucose variability in healthy subjects: randomized crossover trial Figueira, Franciele Ramos Umpierre, Daniel Bock, Patrícia Martins Waclawovsky, Gustavo Guerra, Ana Paula Donelli, Anderson Andrades, Michael Casali, Karina Rabello Schaan, Beatriz D. Biol Sport Original Paper The aim of this study was to evaluate the acute effect of aerobic (AER) and eccentric (ECC) exercise on glucose variability, correlating it with circulating markers of inflammation and oxidative stress in healthy subjects. Sixteen healthy subjects (32 ± 12 years old) wore a continuous glucose monitoring system for three days. Participants randomly performed single AER and ECC exercise sessions. Glucose variability was evaluated by glucose variance (VAR), glucose coefficient of variation (CV%) and glucose standard deviation (SD). Blood samples were collected to evaluate inflammatory and oxidative stress markers. When compared with the pre-exercise period of 0-6 h, all the indices of glucose variability presented comparable reductions 12-18 h after both exercises (∆AER: VAR= 151.5, ∆CV% = 0.55 and ∆SD = 3.1 and ECC: ∆VAR = 221.2 , ∆CV% = 3.7 and ∆SD = 6.5). Increased interleukin-6 (IL-6) levels after AER (68.5%) and ECC (30.8%) (P<0.001) were observed, with no differences between sessions (P = 0.459). Uric acid levels were increased after exercise sessions (3% in AER and 4% in ECC, P = 0.001). In conclusion, both AER and ECC exercise sessions reduced glucose variability in healthy individuals. Inflammatory cytokines, such as IL-6, and stress oxidative markers might play a role in underlying mechanisms modulating the glucose variability responses to exercise (clinicalTrials.gov NCT02262208). Institute of Sport in Warsaw 2019-02-22 2019-06 /pmc/articles/PMC6561229/ /pubmed/31223191 http://dx.doi.org/10.5114/biolsport.2019.83006 Text en Copyright © Biology of Sport 2019 http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Figueira, Franciele Ramos Umpierre, Daniel Bock, Patrícia Martins Waclawovsky, Gustavo Guerra, Ana Paula Donelli, Anderson Andrades, Michael Casali, Karina Rabello Schaan, Beatriz D. Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title | Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title_full | Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title_fullStr | Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title_full_unstemmed | Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title_short | Effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
title_sort | effect of exercise on glucose variability in healthy subjects: randomized crossover trial |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6561229/ https://www.ncbi.nlm.nih.gov/pubmed/31223191 http://dx.doi.org/10.5114/biolsport.2019.83006 |
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