Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry

Spurr, G. B.; Prentice, Andrew M.; Murgatroyd, Peter R.; Goldberg, Gail; Reina, John H.; Christman, N. T.

doi:10.1093/ajcn/48.3.552

Cited by 350 publications

(287 citation statements)

References 23 publications

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“…The HR M method provided a more precise estimate of group EE as the standard deviation of the mean percentage error was smaller than the HRFlex method. This improved precision with the HR M method is also relative to previously published percentage error estimates from the HRFlex method (Spurr et al, 1988) (EE HR ) vs calorimetry, where the standard deviation was 17.9%. In larger study groups with greater power, it can be expected that the con®dence intervals of the mean percentage error will decrease.…”

Section: Advantages Of Combined Sensorsupporting

confidence: 64%

“…In the original description of the HRFlex method (Spurr et al, 1988) a single linear regression line was used to predict EE from heart rate above an empirical ex point, de®ed as the average of the highest pulse rate at rest and the lowest on exercise. For this study, however, a segmented calibration was used producing two slopes at low and moderate-high activity respectively.…”

Section: Design and Development Of Hr M Recordermentioning

confidence: 99%

“…This study was limited by the number of subjects which was smaller than the number used in calorimeter validation studies (n 22 (Spurr et al, 1988) and n 20 (Ceesay et al, 1989)). However, despite this the mean percentage error of the EE estimated by the HR M and that measured by the calorimeter method showed an unbiased estimate of group EE of 0.00% (s.d.…”

Section: Advantages Of Combined Sensormentioning

confidence: 99%

“…This HRFlex method has previously been validated against whole-body calorimetry (Spurr et al, 1988;Ceesay et al, 1989) and against doubly-labelled water (Livingstone et al, 1990;Lovelady et al, 1993). This technique provides an objective and accurate estimate of EE at a group level, as well as providing a means of describing the pattern of physical activity (Wareham et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

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A combined heart rate and movement sensor: proof of concept and preliminary testing study

et al. 2000

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Objective: Heart rate monitoring has previously been used as a technique for measuring energy expenditure (EE) in ®eld studies. However, the combination of heart rate monitoring with movement sensoring could have theoretical advantages compared to either method used alone. Therefore, this study was undertaken to develop and validate a new combined heart rate monitor and movement sensor instrument (HR M) for measuring EE. Methods: The HR M instrument is a single-piece instrument worn around the chest which records minute-byminute heart rate and movement. Eight subjects underwent an individual calibration in which EE and heart rate were measured at rest and during a sub-maximal bicycle ergometer test. They then wore the HR M for 24 hours in a whole-body calorimeter and underwent a standard protocol including periods of physical activity and inactivity. Minute-by-minute heart rate was converted to EE using individual calibration curves with the motion data discriminating between periods of inactivity and activity at low heart rate levels. EE was also calculated using the HRFlex method which relies on heart rate alone. Both estimates of EE were compared to EE measured in the whole-body calorimeter. Results: The mean percentage error of the HR M method calculating TEE compared with the gold standard of the calorimeter measurement was 0.00% (95% CI of the mean error À0.25, 1.25). The HRFlex method using the heart rate information alone resulted in a mean percentage error of 16.5% (95% CI of the mean error À0.57, 1.76).Conclusions: This preliminary test of HR M demonstrates its ability to estimate EE and the pattern of EE and activity throughout the day. Further validation studies in free-living individuals are necessary. Sponsorship: NJW is an MRC Clinician Scientist Fellow. KLR holds an MRC PhD scholarship. Descriptors: heart rate monitor; movement sensor; energy expenditure

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Section: Advantages Of Combined Sensorsupporting

confidence: 64%

Section: Design and Development Of Hr M Recordermentioning

confidence: 99%

Section: Advantages Of Combined Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A combined heart rate and movement sensor: proof of concept and preliminary testing study

et al. 2000

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“…This involved repeating the following sets of measurements in each of the three measurement rounds: (1) the establishment of the heart rate -oxygen consumption calibration curve for each subject at rest and in activity; (2) the determination of BMR via indirect calorimetry; (3) and the measurement of heart rate (HR) at 1 min intervals during the awake portion of the day. Spurr et al, (1988) have described the technique and its use in Cali women (Spurr et al, 1996). Briefly, oxygen consumption (VO 2 ) at rest (RMR) was obtained in the laboratory by indirect calorimetry with the subject in the three resting positions (lying down, sitting and standing quietly).…”

Section: Energy and Nutrient Intakementioning

confidence: 99%

Energy intake and expenditure of free-living, lactating Colombian women in an urban setting

2002

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Objectives:To examine the components of energy balance during lactation in a population of economically disadvantaged women in an urban developing country setting in order to better understand the metabolic response to lactation. Design. Cross-sectional comparison of lactating (LACT) and non-pregnant non-lactating (NPNL) women. Body size and composition were assessed via anthropometry, energy intake was measured using estimated diet records and energy expenditure using indirect calorimetry and the Flex-Heart Rate method. Setting: Low-income neighborhoods of Cali, Colombia. Subjects: Lactating women (n ¼ 15) studied at 2.4 AE 0.8, 5.5 AE 0.8 and 8.9 AE 1.2 months postpartum, and NPNL women (n ¼ 48) studied in three measurement rounds at 0, 3.5 AE 0.6 and 7.1 AE 1.0 months. Results: There were no significant differences between LACT and NPNL women in anthropometric dimensions, but LACT women showed decreases in waist -hip ratio, lean body mass and increases in mid-arm circumference and percentage body fat with time. Energy intake was higher in LACT women (P ¼ 0.04), but there were no significant between-group differences in energy expenditure variables. Conclusion: This group of women met the cost of lactation principally via increased energy intake.

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Underestimation of daily energy expenditure with the factorial method: Implications for anthropological research

Leonard

Galloway

Ivakine

1997

Am. J. Phys. Anthropol.

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Under field conditions, total daily energy expenditure (TDEE) has generally been estimated using time allocation techniques (the factorial method). However, recent work suggests that the factorial method underestimates TDEE relative to newer, more accurate methods such as doubly labelled water (DLW) and heart-rate (HR) monitoring. This study compares estimates of TDEE obtained by the factorial and HR-monitoring methods for a sample of 61 indigenous (Evenki; 17 males, 44 females) and 32 nonindigenous ("Russian"; 10 males, 22 females) subjects from three communities in Central Siberia. Energy expenditures obtained from the two methods were significantly correlated (r = 0.495; P < 0.0001), but the factorial method significantly underestimated TDEE relative to the HR-monitoring technique (8.95 +/- 2.73 vs. 8.25 +/- 1.34 MJ/d; P < 0.005). Interpopulational analyses of data compiled from this and other studies indicate that the factorial method consistently underestimates TDEE relative to DLW and HR monitoring and that the magnitude of underestimation increases with expenditure levels. Indeed, among sedentary populations, factorial estimates of TDEE converge on those of the other methods, whereas at high activity levels the disparity is quite large. These results imply that the daily energy requirements of many subsistence-level populations have been underestimated, thus providing an overly favorable picture of energy balance. Moreover, it is likely that underrepresentation of TDEE is most problematic in rural societies of the developing world which tend to have high activity levels and great risk of malnutrition.

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Energy expenditure from minute-by-minute heart-rate recording: comparison with indirect calorimetry

Cited by 350 publications

References 23 publications

A combined heart rate and movement sensor: proof of concept and preliminary testing study

A combined heart rate and movement sensor: proof of concept and preliminary testing study

Energy intake and expenditure of free-living, lactating Colombian women in an urban setting

Underestimation of daily energy expenditure with the factorial method: Implications for anthropological research

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