Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland Study.

Autor: Gonzales TI; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Jeon JY; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.; Department of Sport Industry Studies, Exercise Medicine Center for Diabetes and Cancer Patients (ICONS), Yonsei University, Seoul, Korea., Lindsay T; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Westgate K; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Perez-Pozuelo I; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Hollidge S; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Wijndaele K; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Rennie K; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Forouhi N; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Griffin S; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Wareham N; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Brage S; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 May 11; Vol. 18 (5), pp. e0285272. Date of Electronic Publication: 2023 May 11 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0285272
Abstrakt: Introduction: Few large studies have evaluated the relationship between resting heart rate (RHR) and cardiorespiratory fitness. Here we examine cross-sectional and longitudinal relationships between RHR and fitness, explore factors that influence these relationships, and demonstrate the utility of RHR for remote population monitoring.
Methods: In cross-sectional analyses (The UK Fenland Study: 5,722 women, 5,143 men, aged 29-65y), we measured RHR (beats per min, bpm) while seated, supine, and during sleep. Fitness was estimated as maximal oxygen consumption (ml⋅min-1⋅kg-1) from an exercise test. Associations between RHR and fitness were evaluated while adjusting for age, sex, adiposity, and physical activity. In longitudinal analyses (6,589 participant subsample), we re-assessed RHR and fitness after a median of 6 years and evaluated the association between within-person change in RHR and fitness. During the coronavirus disease-2019 pandemic, we used a smartphone application to remotely and serially measure RHR (1,914 participant subsample, August 2020 to April 2021) and examined differences in RHR dynamics by pre-pandemic fitness level.
Results: Mean RHR while seated, supine, and during sleep was 67, 64, and 57 bpm. Age-adjusted associations (beta coefficients) between RHR and fitness were -0.26, -0.29, and -0.21 ml⋅kg-1⋅beat-1 in women and -0.27, -0.31, and -0.19 ml⋅kg-1⋅beat-1 in men. Adjustment for adiposity and physical activity attenuated the RHR-to-fitness relationship by 10% and 50%, respectively. Longitudinally, a 1-bpm increase in supine RHR was associated with a 0.23 ml⋅min-1⋅kg-1 decrease in fitness. During the pandemic, RHR increased in those with low pre-pandemic fitness but was stable in others.
Conclusions: RHR is a valid population-level biomarker of cardiorespiratory fitness. Physical activity and adiposity attenuate the relationship between RHR and fitness.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Gonzales et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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