Gaël Ennequin1, David Thivel1, Laurent Mourot2,3, Laurie Isacco4,5. 1. Université Clermont Auvergne, CRNH, AME2P, Clermont-Ferrand, Campus Universitaire des Cézeaux, 3, rue de la Chébarde, 63178, Aubière Cedex, France. 2. EA3920 Prognostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) platform, University of Bourgogne Franche-Comte, Besançon, France. 3. Division for Physical Education, Tomsk Polytechnic University, Tomsk, Russia. 4. Université Clermont Auvergne, CRNH, AME2P, Clermont-Ferrand, Campus Universitaire des Cézeaux, 3, rue de la Chébarde, 63178, Aubière Cedex, France. laurie.isacco@uca.fr. 5. EA3920 Prognostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) platform, University of Bourgogne Franche-Comte, Besançon, France. laurie.isacco@uca.fr.
Abstract
PURPOSE: Post-meal cardiometabolic responses are critical for health, and may be influenced by physical activity. The objective of this study was to investigate the effect of habitual physical activity level on the metabolic, autonomic nervous system and cardiovascular responses to a balanced meal in healthy men. METHODS: 12 active and 12 inactive healthy males, matched for age and body composition, attended the laboratory in fasting condition. Participants were asked to sit quietly and comfortably in an armchair for the whole duration of the experiment (~ 2h30). Metabolic, autonomic nervous system and cardiovascular measurements were performed in fasting conditions, and at regular intervals until one hour after the end of a balanced breakfast. RESULTS: No significant difference was observed between groups in glycaemia or energy expenditure throughout the experiment. Fat oxidation rate was significantly higher one-hour post-meal in active vs inactive men (Respiratory Quotient: 0.78 ± 0.04 vs 0.88 ± 0.03; p < 0.01). Heart rate was significantly lower in active compared to inactive individuals (p < 0.001) throughout the experiment and active participants displayed significantly enhanced vagal tone one-hour post-meal (square root of the sum of successive differences between adjacent normal R-R intervals squared: 72.4 ± 27.9 vs 46.4 ± 14.1 ms; p < 0.05). CONCLUSION: In healthy men, habitual physical activity level seems discriminant to decipher specific profiles in terms of cardiometabolic responses to a meal. Overall, it may suggest pre-signal cardiometabolic impairments in healthy inactive individuals and highlight the need to consider primary prevention in inactive subjects as a key factor for health management.
PURPOSE: Post-meal cardiometabolic responses are critical for health, and may be influenced by physical activity. The objective of this study was to investigate the effect of habitual physical activity level on the metabolic, autonomic nervous system and cardiovascular responses to a balanced meal in healthy men. METHODS: 12 active and 12 inactive healthy males, matched for age and body composition, attended the laboratory in fasting condition. Participants were asked to sit quietly and comfortably in an armchair for the whole duration of the experiment (~ 2h30). Metabolic, autonomic nervous system and cardiovascular measurements were performed in fasting conditions, and at regular intervals until one hour after the end of a balanced breakfast. RESULTS: No significant difference was observed between groups in glycaemia or energy expenditure throughout the experiment. Fat oxidation rate was significantly higher one-hour post-meal in active vs inactive men (Respiratory Quotient: 0.78 ± 0.04 vs 0.88 ± 0.03; p < 0.01). Heart rate was significantly lower in active compared to inactive individuals (p < 0.001) throughout the experiment and active participants displayed significantly enhanced vagal tone one-hour post-meal (square root of the sum of successive differences between adjacent normal R-R intervals squared: 72.4 ± 27.9 vs 46.4 ± 14.1 ms; p < 0.05). CONCLUSION: In healthy men, habitual physical activity level seems discriminant to decipher specific profiles in terms of cardiometabolic responses to a meal. Overall, it may suggest pre-signal cardiometabolic impairments in healthy inactive individuals and highlight the need to consider primary prevention in inactive subjects as a key factor for health management.
Authors: E E Blaak; J-M Antoine; D Benton; I Björck; L Bozzetto; F Brouns; M Diamant; L Dye; T Hulshof; J J Holst; D J Lamport; M Laville; C L Lawton; A Meheust; A Nilson; S Normand; A A Rivellese; S Theis; S S Torekov; S Vinoy Journal: Obes Rev Date: 2012-07-11 Impact factor: 9.213
Authors: Adam J Bittel; Daniel C Bittel; Bettina Mittendorfer; Bruce W Patterson; Adewole L Okunade; Jun Yoshino; Lane C Porter; Nada A Abumrad; Dominic N Reeds; W Todd Cade Journal: Diabetologia Date: 2019-12-23 Impact factor: 10.122
Authors: Mary Elizabeth Baugh; Suzanne M Bowser; Ryan P McMillan; Brenda M Davy; Lauren A Essenmacher; Andrew P Neilson; Matthew W Hulver; Kevin P Davy Journal: J Appl Physiol (1985) Date: 2020-03-12
Authors: G G Berntson; J T Bigger; D L Eckberg; P Grossman; P G Kaufmann; M Malik; H N Nagaraja; S W Porges; J P Saul; P H Stone; M W van der Molen Journal: Psychophysiology Date: 1997-11 Impact factor: 4.016
Authors: J H Bae; E Bassenge; K B Kim; Y N Kim; K S Kim; H J Lee; K C Moon; M S Lee; K Y Park; M Schwemmer Journal: Atherosclerosis Date: 2001-04 Impact factor: 5.162