scholarly journals Feasibility of heart-rate monitoring to estimate total level and pattern of energy expenditure in a population-based epidemiological study: the Ely young cohort feasibility study 1994–5

1997 ◽  
Vol 78 (6) ◽  
pp. 889-900 ◽  
Author(s):  
Nicholas J. Wareham ◽  
Susie J. Hennings ◽  
Andrew M. Prentice ◽  
Nicholas E. Day
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Total Energy ◽  
Correlation Coefficient ◽  
Epidemiological Studies ◽  
Population Based ◽  
Total Energy Expenditure ◽  
Heart Rate Monitoring ◽  
Total Level ◽  
The Mean

Increasing the precision of measurements of total energy expenditure in population-based epidemiological studies is important for accurately quantifying the relationship between this exposure and disease. Current questionnaire-based methods cannot accurately quantify total energy expenditure, although they may provide an estimate of the frequency of vigorous activities. Heart rate monitoring with individual calibration has been advocated as a method for assessing energy expenditure in field studies and has been compared with the ‘gold standard’ techniques of doubly-labelled water and indirect calorimetry. However the method has previously only been used on small and selected populations. This study was, therefore, established to test the feasibility of using heart rate monitoring in a population-based study of adults. A total of 167 individuals aged 30–40 years were randomly selected and underwent 4 d heart-rate monitoring. Only three individuals could not complete the protocol. The mean physical activity level (PAL) measured over 4 d was 1.89 (sd 0.40) in men and 1.76 (sd 0.31) in women. There was no difference between mean PAL on weekend days compared with weekdays (mean paired difference 0.0008, 95% CI −0.06 to + 0.06). The estimate of mean PAL was not correlated with BMI, percentage body fat or the waist:hip ratio. It was, however, correlated with cardio-respiratory fitness as measured by VO2max per kg (Spearman rank correlation coefficient 0.50 in men and 0.42 in women). The pattern of energy expenditure was assessed by calculating the percentage of daytime hours in which PAL was greater than five times basal energy expenditure. This measure was strongly correlated with the mean PAL in both men (Spearman correlation coefficient 0.77) and women (0.71). We conclude that heart-rate monitoring is a feasible method for assessing the pattern and total level of energy expenditure in medium-sized epidemiological studies. It may also prove useful as the reference technique for calibrating questionnaires to estimate energy expenditure in larger scale studies.

scholarly journals The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry

1989 ◽  
Vol 61 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Sana M. Ceesay ◽  
Andrew M. Prentice ◽  
Kenneth C. Day ◽  
Peter R. Murgatroyd ◽  
Gail R. Goldberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Predictive Power ◽  
Low Cost ◽  
Total Energy Expenditure ◽  
Whole Body ◽  
Heart Rate Monitoring ◽  
Calibration Curves ◽  
Individual Calibration ◽  
The Mean

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.

scholarly journals Accelerometry combined with heart rate telemetry in the assessment of total energy expenditure

2006 ◽  
Vol 95 (3) ◽  
pp. 631-639 ◽  
Author(s):  
H. Patrik Johansson ◽  
Lena Rossander-Hulthén ◽  
Frode Slinde ◽  
Björn Ekblom
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
New Method ◽  
Criterion Measure ◽  
Analysis Model ◽  
Free Living ◽  
Advantages And Disadvantages ◽  
Method Analysis

The aim of the present study was: (1) to develop a new method for total energy expenditure (TEE) assessment, using accelerometry (ACC) and heart rate (HR) telemetry in combination; (2) to validate the new method against the criterion measure (DLW) and to compare with two of the most common methods, FLEX-HR and ACC alone. In the first part of the study VO2, HR and ACC counts were measured in twenty-seven subjects during walking and running on a treadmill. Considering the advantages and disadvantages of the HR and ACC methods an analysis model was developed, using ACC at intensities of low and medium levels and HR at higher intensities. During periods of inactivity, RMR is used. A formula for determining TEE from ACC, HR and RMR was developed: TEE =1·1×(EQHR×TTHR+EQACC1×TTACC1+EQACC2×TTACC2+RMR×TTRMR). In the validation part of the study a sub-sample of eight subjects wore an accelerometer, HR was logged and TEE was measured for 14d with the DLW method. Analysis of the Bland–Altman plots with 95% CI indicates that there are no significant differences in TEE estimated with HR–ACC and ACC alone compared with TEE measured with DLW. It is concluded that the HR–ACC combination as well as ACC alone has potential as a method for assessment of TEE during free-living activities as compared with DLW

scholarly journals Effort and time in pipeline milking.

1966 ◽  
Vol 14 (1) ◽  
pp. 47-57
Author(s):  
H.W. Vos
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
Heart Rates ◽  
Machine Milking ◽  
Mean Heart Rate

Effort and time spent in machine milking using pipeline vs. bucket milking methods were compared in a conventional cowshed and in a 2-level milking parlour. In each case 2 units were used and cows were machine-stripped. In the cowshed data were obtained for each of 6 milkers milking 20 low-yielding cows; in the parlour each of 3 milkers milked 21 moderate yielding cows. Total energy expenditure (measured at one milking only for each of the cowshed milkers) averaged 5.0 kcal./min., but considerable variation was shown between workers. In the cowshed mean heart rate was similar for the 2 milking methods but in the parlour heart rates were higher for bucket than pipeline milking; the former also involved greater increase in effort in carrying the filled cans and in cleaning the milking equipment. Milking time for the bucket method exceeded that for the pipeline method by 18% and 9% in cowshed and parlour respectively. Practical aspects are discussed. R.B.S. (Abstract retrieved from CAB Abstracts by CABI’s permission)

Polar Vantage and Oura physical activity and sleep trackers: A validation and comparison study (Preprint)

2021 ◽  
Author(s):  
André Henriksen ◽  
Frode Svartdal ◽  
Sameline Grimsgaard ◽  
Gunnar Hartvigsen ◽  
Laila Hopstock
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Total Energy ◽  
Sleep Duration ◽  
Vigorous Physical Activity ◽  
Total Energy Expenditure ◽  
Sleep Diary ◽  
Resting Heart Rate ◽  
Activity Trackers

BACKGROUND Consumer-based activity trackers are increasingly used in research as they have potential to increase activity participation and can be used for estimating physical activity. However, the accuracy of newer consumer-based devices is mostly unknown, and validation studies are needed. OBJECTIVE The objective of this study was to test the accuracy of the Polar Vantage watch and Oura ring activity trackers for measuring physical activity, total energy expenditure, resting heart rate, and sleep duration, in free-living adults. METHODS Twenty-one participants wore two consumer-based activity trackers (Polar, Oura), an ActiGraph accelerometer, an Actiheart accelerometer and heart rate monitor, and completed a sleep diary for up to seven days. We assessed Polar and Oura validity and comparability for physical activity, total energy expenditure, resting heart rate (Oura), and sleep duration. We analysed repeated measures correlation, Bland-Altman plots, and mean absolute percentage error. RESULTS Polar and Oura were both strongly correlated (p<0.001) with ActiGraph for steps (Polar r 0.75, 95% CI 0.54-0.92. Oura r 0.77, 95% CI 0.62-0.87), moderate-to-vigorous physical activity (Polar r 0.76, 95% CI 0.62-0.88. Oura r 0.70, 95% CI 0.49-0.82), and total energy expenditure (Polar r 0.69, 95% CI 0.48-0.88. Oura r 0.70, 95% CI 0.51-0.83) and strongly or very strongly correlated (p<0.001) with the sleep diary for sleep duration (Polar r 0.74, 95% CI 0.56-0.88. Oura r 0.82, 95% CI 0.68-0.91). Oura had a very strong correlation (p<0.001) with Actiheart for resting heart rate (r 0.9, 95% CI 0.85-0.96). However, all confidence interval ranges were wide and mean absolute percentage error was high for all variables, except Oura sleep duration (10%) and resting heart rate (3%) where Oura under-reported on average one beat per minute. CONCLUSIONS Oura can potentially be used as an alternative to Actiheart to measure resting heart rate. For sleep duration, Polar and Oura can potentially be used as a replacement for a manual sleep diary, depending on acceptable error. Neither Polar nor Oura can replace ActiGraph for measuring steps, moderate-to-vigorous physical activity, and total energy expenditure, but may be used as an additional source of physical activity in some settings.

Total energy expenditure in 4- to 6-yr-old children

1993 ◽  
Vol 264 (5) ◽  
pp. E706-E711 ◽  
Author(s):  
M. I. Goran ◽  
W. H. Carpenter ◽  
E. T. Poehlman
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Energy Expenditure ◽  
Young Children ◽  
Total Energy ◽  
Energy Intake ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Fat Free Mass ◽  
Interindividual Variation

There is a sparsity of data on energy expenditure in young children. We therefore examined the components of daily energy expenditure in a group of 30 children (16 boys, 14 girls; age 4–6 yr) characterized for body weight, height, heart rate, and body composition from bioelectrical resistance. Total energy expenditure (TEE) was measured over 14 days under free living conditions by doubly labeled water, resting energy expenditure (REE) from indirect calorimetry, and activity energy expenditure was estimated from the difference between TEE and REE. Mean TEE was 1,379 +/- 290 kcal/day, which was 475 +/- 202 kcal/day lower than energy intake recommendations for this age group. Activity-related energy expenditure was estimated to be 267 +/- 203 kcal/day. TEE was most significantly related to fat-free mass (FFM; r = 0.86; P < 0.001), body weight (r = 0.83; P < 0.001), and REE (r = 0.80; P < 0.001). When TEE was adjusted for FFM, a significant correlation with heart rate was observed (partial r = 0.54; P = 0.002). Collectively, 86% of interindividual variation in TEE was accounted for by FFM, heart rate, and REE. We conclude that, in young 4- to 6-yr-old children, 1) TEE is approximately 25% lower than current recommendations for energy intake and 2) combined measurement of FFM, heart rate, and REE explain 86% of interindividual variation in TEE, thus providing a possible alternative method to estimate TEE in young children.

scholarly journals Total energy expenditure and energy intake in the pre-school child: a comparison

1994 ◽  
Vol 72 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Peter S. W. Davies ◽  
W. A. Coward ◽  
J. Gregory ◽  
A. White ◽  
A. Mills
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Population Level ◽  
Total Energy Expenditure ◽  
Relative Bias ◽  
Healthy Children ◽  
Older Children ◽  
Doubly Labelled Water ◽  
The Mean

In a cohort (n 81) of healthy children aged 1.5–4.5 years, measurements of energy intake and energy expenditure were compared. Energy intake was calculated following a 4 d weighed record completed by the mother or guardian of the child. Total energy expenditure was measured using the doubly-labelled water technique. Mean energy intake and expenditure in the cohort were 4773 kJ/d and 4928 kJ/d respectively. The mean relative bias between the techniques was 154 kJ/d. In the older children (3.5–4.5 years) the mean relative bias was only 37 kJ/d. At the population level the measurements of energy intake and energy expenditure were extremely close, and the study has provided sufficient confidence in weighed intake methodology for it to be used in a major nationwide study of dietary intake and nutritional status of children aged 1.5–4.5 years.

scholarly journals The physiological effects of a low-impact Bodyattack™ class

2019 ◽  
Author(s):  
Sandra Dias ◽  
Xavier Melo ◽  
Margarida Carrolo ◽  
Nuno Pimenta ◽  
Helena Santa-Clara
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Total Energy ◽  
Vigorous Physical Activity ◽  
Total Energy Expenditure ◽  
Normal Weight ◽  
Average Intensity ◽  
Maximal Heart Rate ◽  
Sensing Technology

Objective: To estimate total energy expenditure and intensity of a low impact BodyattackTM session using combined heart rate and movement sensing technology. Method: Participants were 10 (8 males) normal-weight adults (33 ± 3 years-old). Maximal oxygen capacity and heart rate were determined by the performance on a treadmill maximal exercise test using indirect calorimetric method. Heart rate and energy expenditure values were monitored during a Bodyattack™ routine using a combined heart rate and movement sensor. The manufacturer's combined activity and heart rate algorithm was used to estimate Total and Physical activity energy expenditure. Results: A 60 min low impact BodyattackTM session demands a Total energy expenditure of 469.4 ± 170.8 kcal at an average intensity of 64% of maximal heart rate, from which approximately 27.2 min are spent at moderate to vigorous physical activity intensities. Compared to a high impact BodyattackTM session as reported by the trademark company, Total energy expenditure was lower in the low impact option (-194.8 Kcal, p=0.006), but no significant differences were found in average intensity (-9.4%, p=0.707). Conclusion: Bodyattack™ routines performed at a low impact option may be sufficient to meet minimal recommendations for developing and maintaining cardiorespiratory fitness, if practiced beyond three days.week-1. Although appropriate for untrained individuals and those with orthopedic limitations, energy requirements of low impact Bodyattack™ may not be enough to elicit an effective weight loss.

scholarly journals Components of total energy expenditure in free-living elderly men (over 75 years of age) : measurement, predictability and relationship to quality-of-life indices

1996 ◽  
Vol 75 (2) ◽  
pp. 161-173
Author(s):  
N. J. Fuller 1 ◽  
M. B. Sawyer 1 ◽  
W. A. Coward 1 ◽  
P. Paxton 2 ◽  
M. Elial
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
Energy Requirements ◽  
Elderly Men ◽  
Free Living ◽  
The Mean

AbstractCurrent recommendations for energy requirements in the elderly are based on assumed levels of physical activity relative to BMR (1.5 x BMR). The main aim of the present study was to establish whether these recommendations might be applicable to a randomly-selected group of free-living elderly men (all over 75 years of age). BMR was measured by indirect calorimetry and total energy expenditure (TEE) by the doubly-labelled-water technique. Further aims included evaluating the applicability of a variety of BMR prediction equations and whether assessed quality of life reflected any measured indices of energy expenditure. The mean value for daily energy requirement was found to be 1.5 x BMR (89 J/kg per min) but with substantial inter-individual variation (SD 0-2 x BMR; 14 J/kg per min). The bias between measured TEE and TEE estimated (1.5 x BMR) from the various BMR predictions varied according to which equation was used (-10-+ 8% of the mean) with substantial 95 YO limits of agreement (28-30%of the mean). TEE and physical activity plus thermogenesis (TEE -BMR) were positively related to activities of daily living, but no relationships were apparent between these and perceived quality of life. It is concluded that, despite considerable inter-individual variability, national recommendations for energy requirements of elderly people are applicable to this randomly-selected group of free-living men over 75 years of age but that substantial variation exists when attempts are made to estimate TEE from measurements or predictions of BMR.

scholarly journals A quantitative analysis of the relationship between habitual energy expenditure, fitness and the metabolic cardiovascular syndrome

1998 ◽  
Vol 80 (3) ◽  
pp. 235-241 ◽  
Author(s):  
Nicholas J. Wareham ◽  
Susie J. Hennings ◽  
Christopher D. Byrne ◽  
C. Nicholas Hales ◽  
Andrew M. Prentice ◽  
...  
Keyword(s):  
Physical Activity ◽  
Measurement Error ◽  
Energy Expenditure ◽  
Total Energy ◽  
Odds Ratio ◽  
Epidemiological Studies ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
The Relationship ◽  
Metabolic Cardiovascular Syndrome

Previous epidemiological studies have suggested an association between low levels of physical activity, fitness and the metabolic cardiovascular syndrome. However, many studies have used subjective non-quantitative questionnaire-based methods for assessing physical activity which do not distinguish between the different dimensions of this complex exposure, and in which measurement error in the exposure has not been estimated. These deficiencies in the measurement of this exposure complicate the interpretation of the results of epidemiological studies, and consequently make it difficult to design appropriate interventions and to estimate the expected benefit which would result from intervention. In particular, it is unclear whether public health advice should be to increase total energy expenditure, or to attempt to raise fitness by recommending periods of vigorous activity. To separate the effects of fitness and total energy expenditure in the aetiology of the metabolic cardiovascular syndrome, we measured the physical activity level (PAL), defined as total energy expenditure: BMR, and fitness (maximum O2consumption (Vo2maxper kg), measured in a sub-maximal test) in a cross-sectional population-based study of 162 adults aged 30–40 years. Heart-rate monitoring with individual calibration was used to measure total energy expenditure using the HRFlex method (Ceesayet al.1989) which has been validated previously against doubly-labelled water and whole-body calorimetry. The relationship between a single measure of PAL,Vo2maxper kg and the usual or habitual level for each exposure was measured in a sub-study of twenty-two subjects who undertook four repeated measures over the course of 1 year. This study design allows the reliability coefficient to be computed, which is used to adjust the observed associations for measurement error in the exposure. Twelve men (16.4%) and sixteen women (18.0%) were defined as having one or more features of the metabolic cardiovascular syndrome. The univariate odds ratio for each increasing quartile for PAL was 0.64 (95 % CI 0.43–0.94) and was 0.49 (95 % CI 0.32–0.74) forVo2maxper kg, suggesting that the association with the metabolic cardiovascular syndrome was stronger for fitness than for PAL. However, after adjustment for obesity and sex, and correction for exposure measurement error, the odds ratio per quartile for PAL was 0.32 (95 % CI 0.13–0.83) and 0.44 (95 % CI 0.24–0.78) forVo2maxper kg. Thus, although univariate analysis would suggest that fitness has a stronger association with the metabolic cardiovascular syndrome than PAL, this conclusion is reversed once confounding and the differences in measurement error are considered. We conclude from the present study that the metabolic cardiovascular syndrome is strongly associated with reduced habitual energy expenditure. The method employed to assess the exposure in the present study demonstrates the utility of assessing a known dimension of physical activity using a physiologically-based and objective measure with repeated estimation to adjust for measurement error. Such quantitative epidemiological data provide the basis for planning and evaluating the expected benefit of population-level interventions.

Sign in / Sign up

Export Citation Format

Share Document