Cited by 30Heart Rate Variability and Autonomic ControlVagus Nerve Stimulation ResearchCardiac Health and Mental Health

Influence of a Single Slow-Paced Breathing Session on Cardiac Vagal Activity in Athletes

Open access
You, Min, Laborde, Sylvain, Salvotti, Caterina, Zammit, Nina, Mosley, Emma, Dosseville, Fabrice·2022·International Journal of Mental Health and Addiction

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Registry

Crossref · 10.1007/s11469-020-00467-x

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References 75 · Cited by 30

Authors
You, M., Laborde, S., Salvotti, C., Zammit, N., Mosley, E., & Dosseville, F.
Affiliations
  • Université de Caen Normandie (FR)
  • German Sport University Cologne (DE)
  • Southampton Solent University (GB)
  • Inserm (FR)
Corresponding author
You, Min
Venue
International Journal of Mental Health and Addiction
Published
2021-01-05
Volume
20
Issue
3
Pages
1632-1644
ISSN
  • 1557-1874 (ISSN-L)
  • 1557-1882
OpenAlex
W3041792556
Cited by
30
References
75
Citations by year
2026: 3 · 2025: 5 · 2024: 6 · 2023: 4 · 2022: 5 · 2021: 7
FWCI
3.72
Type
journal article
Language
en
Open access
Locations
  • International Journal of Mental Health and Addiction (publishedVersion)
  • Solent University Research Portal (Solent University) (publishedVersion, other-oa)
  • Bournemouth University Research Online (Bournemouth University) (acceptedVersion)
  • HAL (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Life Sciences › Neuroscience › Neurology › Vagus Nerve Stimulation Research
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
Keywords
slow-paced breathing, cardiac vagal activity, vagus nerve, heart rate variability, athletes, relaxation techniques, autonomic nervous system, addiction treatment, craving, single-session intervention

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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