The DOI matches its Crossref record.
The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry
Open accessAbstract
1. A modified heart rate (HR) method for predicting total energy expenditure (TEE) was cross-validated against whole-body calorimetry (CAL). Minute-by-minute HR was converted to energy expenditure (EE) using individual calibration curves when HR exceeded a pre-determined ‘FLEX’ value designed to discriminate periods of activity. (‘FLEX’ HR was defined as the mean of the highest HR during rest and the lowest HR during the lightest imposed exercise.) Sedentary EE (below FLEX) was calculated as the mean EE during lying down, sitting and standing at rest. Sleeping EE was calculated as basal metabolic rate (BMR) predicted from standard equations. 2. Calibration curves of oxygen consumption v. HR for different postures at rest and during exercise were obtained for twenty healthy subjects (eleven male, nine female); mean r 0.941 (SD 0.04). The mean FLEX HR for men and women were 86 (sd 10) and 96 (SD 6) beats/min respectively. 3. Simultaneous measurements of HR and EE were made during 21 h continuous CAL, which included 4 x 30 min imposed exercise (cycling, rowing, stepping, jogging). HR exceeded FLEX for a mean of 98 (SD 41) min. Mean TEE by CAL (TEE. CAL) was 8063 (sd 1445) kJ. 4. The HR method yielded a mean non-significant underestimate in TEE (TEE. HR) of 1.2 (sd 6.2)% (range−11.4 to + 10.6 %). Regression of TEE. HR (y) v. TEE. CAL (X) yielded Y = 0.868 X +927 kJ, r 0.943, se of the estimate 458 kJ, n 20. 5. The satisfactory predictive power and low cost of the method makes it suitable for many field and epidemiological applications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Strath, S. J., Kaminsky, L. A., Ainsworth, B. E., Ekelund, U., Freedson, P. S., Gary, R. A., Richardson, C. R., Smith, D. T., & Swartz, A. M. (2013) · Circulation · doi:10.1161/01.cir.0000435708.67487.da · Cited by 1,029
Warren, J. M., Ekelund, U., Besson, H., Mezzani, A., Geladas, N., & Vanhees, L. (2010) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e32832ed875 · Cited by 587
Measurement of energy expenditure
Levine, J. A. (2005) · Public Health Nutrition · doi:10.1079/phn2005800 · Cited by 401
Dowd, K. P., Szeklicki, R., Minetto, M. A., Murphy, M. H., Polito, A., Ghigo, E., van der Ploeg, H., Ekelund, U., Maciaszek, J., Stemplewski, R., et al. (2018) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0636-2 · Cited by 385
Assessing Physical Activity Using Wearable Monitors: Measures of Physical Activity
BUTTE, N. F., EKELUND, U., & WESTERTERP, K. R. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182399c0e · Cited by 359
Brage, S., Ekelund, U., Brage, N., Hennings, M. A., Froberg, K., Franks, P. W., & Wareham, N. J. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00092.2006 · Cited by 303
Bratteby, L.-E., Sandhagen, B., Fan, H., & Samuelson, G. (1997) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600449 · Cited by 190
The effect of graded levels of exercise on energy intake and balance in free-living women
Stubbs, R., Sepp, A., Hughes, D., Johnstone, A., King, N., Horgan, G., & Blundell, J. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0801874 · Cited by 180
Whybrow, S., Hughes, D. A., Ritz, P., Johnstone, A. M., Horgan, G. W., King, N., Blundell, J. E., & Stubbs, R. J. (2008) · British Journal of Nutrition · doi:10.1017/s0007114508968240 · Cited by 164
Brage, S., Westgate, K., Franks, P. W., Stegle, O., Wright, A., Ekelund, U., & Wareham, N. J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0137206 · Cited by 151
Assah, F. K., Ekelund, U., Brage, S., Wright, A., Mbanya, J. C., & Wareham, N. J. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyq098 · Cited by 132
A combined heart rate and movement sensor: proof of concept and preliminary testing study
Rennie, K., Rowsell, T., Jebb, S., Holburn, D., & Wareham, N. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600973 · Cited by 83
HR Index-A Simple Method for the Prediction of Oxygen Uptake
WICKS, J. R., OLDRIDGE, N. B., NIELSEN, L. K., & VICKERS, C. E. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318217276e · Cited by 76
McFadden, B. A., Walker, A. J., Bozzini, B. N., Sanders, D. J., & Arent, S. M. (2020) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003485 · Cited by 75
Energy expenditure among farmers in developing countries: What do we know?
Dufour, D. L., & Piperata, B. A. (2008) · American Journal of Human Biology · doi:10.1002/ajhb.20764 · Cited by 68
Garet, M., Boudet, G., Montaurier, C., Vermorel, M., Coudert, J., & Chamoux, A. (2005) · European Journal of Applied Physiology · doi:10.1007/s00421-004-1228-9 · Cited by 67
Biomarker Response to a Competitive Season in Division I Female Soccer Players
Walker, A. J., McFadden, B. A., Sanders, D. J., Rabideau, M. M., Hofacker, M. L., & Arent, S. M. (2019) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003264 · Cited by 65
Activity energy expenditure is an independent predictor of energy intake in humans
Hopkins, M., Duarte, C., Beaulieu, K., Finlayson, G., Gibbons, C., Johnstone, A. M., Whybrow, S., Horgan, G. W., Blundell, J. E., & Stubbs, R. J. (2019) · International Journal of Obesity · doi:10.1038/s41366-018-0308-6 · Cited by 43
Ekelund, U., Yngve, A., & Sjöström, M. (1999) · Scandinavian Journal of Medicine & Science in Sports · doi:10.1111/j.1600-0838.1999.tb00243.x · Cited by 31
Use of Heart Rate Index to Predict Oxygen Uptake – A Validation Study
(2020) · International Journal of Exercise Science · doi:10.70252/thpw3818 · Cited by 6
“ABSTRACT International Journal of Exercise Science 13(7): 1705-1717, 2020.”
Background
Metadata
- Authors
- Ceesay, S. M., Prentice, A. M., Day, K. C., Murgatroyd, P. R., Goldberg, G. R., Scott, W., & Spurr, G. B.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 1989-03
- Volume
- 61
- Issue
- 2
- Pages
- 175-186
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2146609676
- Cited by
- 318
- References
- 0
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
