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Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains

This study focused on the steady-state phase of exercise to evaluate the relative contribution of metabolic instability (measured with NIRS and haematochemical markers) and muscle activation (measured with EMG) to the oxygen consumption ([Formula: see text] ) slow component ([Formula: see text] ) in...

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Detalles Bibliográficos
Autores principales: Colosio, Alessandro L, Caen, Kevin, Bourgois, Jan G., Boone, Jan, Pogliaghi, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164613/
https://www.ncbi.nlm.nih.gov/pubmed/34009455
http://dx.doi.org/10.1007/s00424-021-02573-8
Descripción
Sumario:This study focused on the steady-state phase of exercise to evaluate the relative contribution of metabolic instability (measured with NIRS and haematochemical markers) and muscle activation (measured with EMG) to the oxygen consumption ([Formula: see text] ) slow component ([Formula: see text] ) in different intensity domains. We hypothesized that (i) after the transient phase, [Formula: see text] , metabolic instability and muscle activation tend to increase differently over time depending on the relative exercise intensity and (ii) the increase in [Formula: see text]  is explained by a combination of metabolic instability and muscle activation. Eight active men performed a constant work rate trial of 9 min in the moderate, heavy and severe intensity domains. [Formula: see text] , root mean square by EMG (RMS), deoxyhaemoglobin by NIRS ([HHb]) and haematic markers of metabolic stability (i.e. [La(−)], pH, HCO(3)(−)) were measured. The physiological responses in different intensity domains were compared by two-way RM-ANOVA. The relationships between the increases of [HHb] and RMS with [Formula: see text]  after the third min were compared by simple and multiple linear regressions. We found domain-dependent dynamics over time of [Formula: see text] , [HHb], RMS and the haematic markers of metabolic instability. After the transient phase, the rises in [HHb] and RMS showed medium–high correlations with the rise in [Formula: see text]  ([HHb] r = 0.68, p < 0.001; RMS r = 0.59, p = 0.002). Moreover, the multiple linear regression showed that both metabolic instability and muscle activation concurred to the [Formula: see text]  (r = 0.75, [HHb] p = 0.005, RMS p = 0.042) with metabolic instability possibly having about threefold the relative weight compared to recruitment. Seventy-five percent of the dynamics of the [Formula: see text]  was explained by [HHb] and RMS.