Influence of Respiratory Frequency of Slow-Paced Breathing on Vagally-Mediated Heart Rate Variability

You, Min; Laborde, Sylvain; Ackermann, Stefan; Borges, Uirassu; Dosseville, Fabrice; Mosley, Emma

doi:10.1007/s10484-023-09605-2

Cited by 3 publications

(1 citation statement)

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“…Our results are promising and should serve as a foundation for further research, though they should be interpreted cautiously. Despite our nonsignificant results in HR and HRV, the literature suggests their potential benefits when implemented during training and competition [62]. Future research should focus on increasing the daily duration of SPB practice as well as the length of the training phase (e.g., 3 weeks of daily practice of SPB for 15 min each day), ensuring more controlled conditions before HRV measurements to better assess changes in the PNS.…”

Section: Discussionmentioning

confidence: 88%

Psychophysiological Effects of Slow-Paced Breathing on Adolescent Swimmers’ Subjective Performance, Recovery States, and Control Perception

Merlin,

Vacher,

Mourot

et al. 2024

JFMK

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This study examined the effect of a Slow-Paced Breath (i.e., 6 breaths per minute) without Biofeedback (SPB-NoHRVB) protocol on semi-elite adolescent swimmers’ psychological and physiological states during a seven-week ecological training period. A linear mixed-effects multilevel regression analysis approach was used with 13 adolescent national-level swimmers. Athletes were randomly assigned to an intervention group (n = 7) and a control group (n = 6). Seven waves of assessments were completed weekly during a seven-week training preparation in ecological conditions. During the protocol, swimmers completed subjective quantitative measures (RESTQ-36-R-Sport; cognitive perceived stress and control states about the training process, training subjective performance, and subjective internal training load) and physiological heart rate (HR) (HR of exercise, absolute and normalized HR recovery during the first 60 s of recovery; HRR60 and nHRR60) and heart rate variability (HRV) (MeanRR, RMSSD, LFnu and HFnu, LF/HF ration) tests (through a submaximal heart rate (5′-5′ test) once a week. Results revealed that the SPB-NoHRVB protocol significantly predicts biopsychosocial recovery states, cognitive perception of control, and training subjective performance (i.e., a significant effect of the SPB-NoHRVB protocol with the dependent variables simple time trajectories). However, no significant effects were found for biopsychosocial stress scales, cognitively perceived stress, HR, or HRV markers. Our results suggest that SPB-NoHRVB induces simple evolutions over time for crucial variables in athletes’ adaptation to the training process (i.e., cognitive appraisals and biopsychosocial states). In contrast, it highlights that SPB-NoHRVB does not induce better stress states. This specific effect on the resource component is an exciting result that will be discussed in the manuscript.

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Section: Discussionmentioning

confidence: 88%