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September 1, 2000Medicine & Science in Sports & Exercise302 citations

Evaluation of heart rate as a method for assessing moderate intensity physical activity

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SSScott J. StrathASAnn M. SwartzDBDavid R. Bassett

Structured PICO

Does heart rate monitoring accurately estimate energy expenditure during moderate-intensity physical activity in adults?

P
Population
61 adults (aged 18-74 years)
I
Intervention
Heart rate monitoring during 15-minute field- and laboratory-based moderate-intensity physical tasks
C
Comparator
Direct measurement of VO2
O
Outcome
Relationship between heart rate and VO2, and validity of estimating energy expenditure (EE) from heart rate after adjusting for age and fitnesssurrogate

Heart rate monitoring, when adjusted for age and fitness level, is an accurate method for estimating energy expenditure during moderate-intensity physical activity.

Abstract

UNLABELLED: To further develop our understanding of the relationship between habitual physical activity and health, research studies require a method of assessment that is objective, accurate, and noninvasive. Heart rate (HR) monitoring represents a promising tool for measurement because it is a physiological parameter that correlates well with energy expenditure (EE). However, one of the limitations of HR monitoring is that training state and individual HR characteristics can affect the HR-VO2 relationship. PURPOSE: The primary purpose of this study was to examine the relationship between HR (beats x min(-1)) and VO2 (mL x kg(-1 x -1) min(-1)) during field- and laboratory-based moderate-intensity activities. In addition, we examined the validity of estimating EE from HR after adjusting for age and fitness. This was done by expressing the data as a percent of heart rate reserve (%HRR) and percent of VO2 reserve (%VO2R). METHODS: Sixty-one adults (18-74 yr) performed physical tasks in both a laboratory and field setting. HR and VO2 were measured continuously during the 15-min tasks. Mean values over min 5-15 were used to perform linear regression analysis on HR versus VO2. HR data were then used to predict EE (METs), using age-predicted HRmax and estimated VO2max. RESULTS: The correlation between HR and VO2 was r = 0.68, with HR accounting for 47% of the variability in VO2. After adjusting for age and fitness level, HR was an accurate predictor of EE (r = 0.87, SEE = 0.76 METs). CONCLUSION: This method of analyzing HR data could allow researchers to more accurately quantify physical activity in free-living individuals.

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Cite This Study

Strath et al. (2000) studied this question.

synapsesocial.com/papers/6a17baa28008e5848e6efb11https://doi.org/10.1097/00005768-200009001-00005
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