Abstract

PurposeMeasures of cardiorespiratory fitness (CRF) and heart rate recovery (HRR) can improve risk stratification for cardiovascular disease, but these measurements are rarely made in asymptomatic individuals due to cost. An exercise field test (EFT) to assess CRF and HRR would be an inexpensive method for cardiovascular disease risk assessment in large populations. This study assessed 1) the predictive accuracy of a 12-minute run/walk EFT for estimating CRF () and 2) the accuracy of HRR measured after an EFT using a heart rate monitor (HRM) in an asymptomatic population.MethodsFifty subjects (48% women) ages 18–45 years completed a symptom-limited exercise tolerance test (ETT) (Bruce protocol) and an EFT on separate days. During the ETT, was measured by a metabolic cart, and heart rate was measured continuously by a HRM and a metabolic cart.ResultsEFT distance and sex independently predicted. The average absolute difference between observed and predicted was 0.26±3.27 ml·kg−1·min−1 for our model compared to 7.55±3.64 ml·kg−1·min−1 for the Cooper model. HRM HRR data were equivalent to respective metabolic cart values during the ETT. HRR at 1 minute post-exercise during ETT compared to the EFT had a moderate correlation (r = 0.75, p<0.001).ConclusionA more accurate model to estimate CRF from a 12-minute run/walk EFT was developed, and HRR can be measured using a HRM in an asymptomatic population outside of clinical settings.

Highlights

  • Risk assessment is the foundation for primary prevention of future cardiovascular disease, yet attempts to evaluate the large population of asymptomatic individuals are limited [1,2]

  • HRM heart rate recovery (HRR) data were equivalent to respective metabolic cart values during the exercise tolerance test (ETT)

  • HRR at 1 minute post-exercise during ETT compared to the exercise field test (EFT) had a moderate correlation (r = 0.75, p,0.001)

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Summary

Introduction

Risk assessment is the foundation for primary prevention of future cardiovascular disease, yet attempts to evaluate the large population of asymptomatic individuals are limited [1,2]. Exercise field tests (EFTs) completed while wearing commercial heart rate monitors (HRMs) may provide an inexpensive alternative for risk assessment in large populations, but improved CRF prediction models and validation of HRR measures are needed. A regression model, developed by Cooper in 1968 [7], has been widely used to estimate CRF (peak oxygen uptake ( VO 2peak)) for a 12-minute run/walk EFT, but the predictive accuracy of the model is dependent on the population being tested. The purposes of this study were to 1) develop a CRF (peak oxygen uptake ( VO 2peak)) prediction model applicable to both men and women with a greater fitness range than the Cooper model [9] and 2) evaluate the accuracy of HRR during a 12-minute run/walk EFT in an asymptomatic, low-risk population

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