Heart rate variability during exercise can quantify cardiorespiratory deconditioning in 55- to 65-yr-old men and women exposed to head-down bed rest

The heart rate variability (HRV) features HRV<sub>0.75</sub> and HRV<sub>0.5</sub>, obtained by detrended fluctuation analysis during incremental cycle ergometer tests, have been shown to correlate with indices of cardiorespiratory fitness. Here, we evaluate the ability of these features to track individual changes in cardiorespiratory fitness induced by head-down bed rest (HDBR) among late middle-aged adults. Twenty-two healthy participants (55-65 yr old, 11 women) were exposed to 14-day HDBR. Eleven participants were assigned to a group performing daily aerobic and resistive exercises during HDBR, whereas the others were assigned to a control group with no countermeasure intervention. We measured gas exchange and electrocardiography during incremental cycle ergometer tests pre- and post-HDBR. The countermeasure preserved oxygen uptake (V̇o<sub>2</sub>) at the two ventilatory thresholds (VT1 and VT2), HRV<sub>0.75</sub> and HRV<sub>0.5</sub>. However, these four features decreased in the control group after HDBR. A large and proportional bias was evidenced between V̇o<sub>2</sub> at VT1 and HRV<sub>0.75</sub>, which was less the case for V̇o<sub>2</sub> at VT2 versus HRV<sub>0.5</sub>. However, the intraindividual changes in the control group were correlated (<i>r</i><sub>rm</sub> = 0.66 for VT1 vs. HRV<sub>0.75</sub> and <i>r</i><sub>rm</sub> = 0.82 for V̇o<sub>2</sub> at VT2 vs. HRV<sub>0.5</sub>, both <i>P</i> < 0.001). Overall, this study indicated that HRV<sub>0.75</sub> and HRV<sub>0.5</sub> can be used to longitudinally monitor changes in cardiorespiratory fitness in late middle-aged adults with physical deconditioning. Future research can apply these methods to other study populations.<b>NEW & NOTEWORTHY</b> We report the applicability of two heart rate variability features (HRV<sub>0.75</sub>, HRV<sub>0.5</sub>) computed during exercise to assess changes in cardiorespiratory fitness. Although previous cross-sectional studies suggested that these features were highly correlated to the ventilatory thresholds, we highlight the fact that they should not be considered as equivalent. More easily obtained than ventilatory thresholds, HRV<sub>0.75</sub> and HRV<sub>0.5</sub> could be used as fitness markers along a continuum of the physiological response between rest and maximal exercise.

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Journal
Journal of Applied Physiology
Published
2025-03-18
DOI
https://doi.org/10.1152/japplphysiol.00017.2025
Citations
1
Primary Topic
Heart Rate Variability and Autonomic Control
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article
Field-Weighted Citation Impact
1.39

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article

Heart rate variability during exercise can quantify cardiorespiratory deconditioning in 55- to 65-yr-old men and women exposed to head-down bed rest

Eric T. Hedge, Carmelo Mastrandrea, Jérémy Rabineau, Richard L. Hughson et al.
1 citations
Journal of Applied Physiology
Heart Rate Variability and Autonomic Control
1.39
article

Heart rate variability during exercise can quantify cardiorespiratory deconditioning in 55- to 65-yr-old men and women exposed to head-down bed rest

Eric T. Hedge, Carmelo Mastrandrea, Jérémy Rabineau, Richard L. Hughson, Roxanne Fournier
article en
1 citations

Abstract

The heart rate variability (HRV) features HRV<sub>0.75</sub> and HRV<sub>0.5</sub>, obtained by detrended fluctuation analysis during incremental cycle ergometer tests, have been shown to correlate with indices of cardiorespiratory fitness. Here, we evaluate the ability of these features to track individual changes in cardiorespiratory fitness induced by head-down bed rest (HDBR) among late middle-aged adults. Twenty-two healthy participants (55-65 yr old, 11 women) were exposed to 14-day HDBR. Eleven participants were assigned to a group performing daily aerobic and resistive exercises during HDBR, whereas the others were assigned to a control group with no countermeasure intervention. We measured gas exchange and electrocardiography during incremental cycle ergometer tests pre- and post-HDBR. The countermeasure preserved oxygen uptake (V̇o<sub>2</sub>) at the two ventilatory thresholds (VT1 and VT2), HRV<sub>0.75</sub> and HRV<sub>0.5</sub>. However, these four features decreased in the control group after HDBR. A large and proportional bias was evidenced between V̇o<sub>2</sub> at VT1 and HRV<sub>0.75</sub>, which was less the case for V̇o<sub>2</sub> at VT2 versus HRV<sub>0.5</sub>. However, the intraindividual changes in the control group were correlated (<i>r</i><sub>rm</sub> = 0.66 for VT1 vs. HRV<sub>0.75</sub> and <i>r</i><sub>rm</sub> = 0.82 for V̇o<sub>2</sub> at VT2 vs. HRV<sub>0.5</sub>, both <i>P</i> < 0.001). Overall, this study indicated that HRV<sub>0.75</sub> and HRV<sub>0.5</sub> can be used to longitudinally monitor changes in cardiorespiratory fitness in late middle-aged adults with physical deconditioning. Future research can apply these methods to other study populations.<b>NEW & NOTEWORTHY</b> We report the applicability of two heart rate variability features (HRV<sub>0.75</sub>, HRV<sub>0.5</sub>) computed during exercise to assess changes in cardiorespiratory fitness. Although previous cross-sectional studies suggested that these features were highly correlated to the ventilatory thresholds, we highlight the fact that they should not be considered as equivalent. More easily obtained than ventilatory thresholds, HRV<sub>0.75</sub> and HRV<sub>0.5</sub> could be used as fitness markers along a continuum of the physiological response between rest and maximal exercise.

Journal of Applied PhysiologyVol. 138(4)
University of Waterloo (CA), Research Institute for Aging (CA)
Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 22%
Heart Rate Variability and Autonomic Control
1.39
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