Evidence map›Paper›PMID 37167327›Full record

ArticlePloS one2023

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

Tomas I Gonzales, Justin Y Jeon, Timothy Lindsay, Kate Westgate, Ignacio Perez-Pozuelo, Stefanie Hollidge, Katrien Wijndaele, Kirsten Rennie, Nita Forouhi, Simon Griffin and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Parkinson's disease, aerobic exercise and photobiomodulation: a randomised controlled trial.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Trial
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  4. Guidelines for rigor and reproducibility of heart rate variability within human cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2026
    Review
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  7. Deep learning to predict left ventricular hypertrophy from the electrocardiogram.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Tomas I GonzalesMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0085-8771
Justin Y JeonMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Timothy LindsayMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Kate WestgateMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Ignacio Perez-PozueloMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Stefanie HollidgeMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Katrien WijndaeleMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Kirsten RennieMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Nita ForouhiMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Simon GriffinMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Nick WarehamMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Soren BrageMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-1265-7355
University of Cambridge · GBYonsei University · KR

Funding

Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_00006/4Medical Research Council MC_UU_00006/5Medical Research Council MC_UU_00006/6Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/4Medical Research Council MC_UU_12015/5
6 · The paper itself

Abstract

introductionFew 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.

methodsIn 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.

resultsMean 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.

conclusionsRHR is a valid population-level biomarker of cardiorespiratory fitness. Physical activity and adiposity attenuate the relationship between RHR and fitness.

Indexed as

Cardiorespiratory FitnessCOVID-19BiomarkersCross-Sectional StudiesFemaleHeart RateHumansMaleRisk FactorsBiomarkers

Identifiers

PMID37167327
PMCPMC10174582
OpenAlexW4376129412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.