scholarly journals Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study

2018 ◽  
Author(s):  
Tom White ◽  
Kate Westgate ◽  
Stefanie Hollidge ◽  
Michelle Venables ◽  
Patrick Olivier ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Mean Squared Error ◽  
Pearson Correlation ◽  
Population Level ◽  
Living Conditions ◽  
Estimation Model ◽  
Free Living ◽  
Doubly Labelled Water ◽  
Highly Correlated ◽  
Free Living Conditions

AbstractBackgroundMany large studies have implemented wrist or thigh accelerometry to capture physical activity, but the accuracy of these measurements to infer Activity Energy Expenditure (AEE) and consequently Total Energy Expenditure (TEE) has not been demonstrated. The purpose of this study was to assess the validity of acceleration intensity at wrist and thigh sites as estimates of AEE and TEE under free-living conditions using a gold-standard criterion.MethodsMeasurements for 193 UK adults (105 men, 88 women, aged 40-66 years, BMI 20.4-36.6 kg·m-2) were collected with triaxial accelerometers worn on the dominant wrist, non-dominant wrist and thigh in free-living conditions for 9-14 days. In a subsample (50 men, 50 women) TEE was simultaneously assessed with doubly labelled water (DLW). AEE was estimated from non-dominant wrist using an established estimation model, and novel models were derived for dominant wrist and thigh in the non-DLW subsample. Agreement with both AEE and TEE from DLW was evaluated by mean bias, Root Mean Squared Error (RMSE) and Pearson correlation.ResultsMean TEE and AEE derived from DLW was 11.6 (2.3) MJ·day-1 and 49.8 (16.3) kJ·day-1·kg-1. Dominant and non-dominant wrist acceleration were highly correlated in free-living (r=0.93), but less so with thigh (r=0.73 and 0.66, respectively). Estimates of AEE were 48.6 (11.8) kJ·day-1·kg-1 from dominant wrist, 48.6 (12.3) from non-dominant wrist, and 46.0 (10.1) from thigh; these agreed strongly with AEE (RMSE ~12.2 kJ·day-1·kg-1, r ~0.71) with small mean biases at the population level (~6%). Only the thigh estimate bias was statistically significantly different from the criterion. When combining these AEE estimates with estimated REE, agreement was stronger with the criterion (RMSE ~1.0 MJ·day-1, r ~0.90). Conclusions: In UK adults, acceleration measured at either wrist or thigh can be used to estimate population levels of AEE and TEE in free-living conditions with high precision.

scholarly journals Evaluations of Actiheart, IDEEA® and RT3 monitors for estimating activity energy expenditure in free-living women

2013 ◽  
Vol 2 ◽  
Author(s):  
Marie Löf ◽  
Hanna Henriksson ◽  
Elisabet Forsum
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Living Conditions ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Free Living ◽  
Doubly Labelled Water ◽  
Further Development ◽  
Activity Energy ◽  
Free Living Conditions

AbstractActivity energy expenditure (AEE) during free-living conditions can be assessed using devices based on different principles. To make proper comparisons of different devices' capacities to assess AEE, they should be evaluated in the same population. Thus, in the present study we evaluated, in the same group of subjects, the ability of three devices to assess AEE in groups and individuals during free-living conditions. In twenty women, AEE was assessed using RT3 (three-axial accelerometry) (AEERT3), Actiheart (a combination of heart rate and accelerometry) (AEEActi) and IDEEA (a multi-accelerometer system) (AEEIDEEA). Reference AEE (AEEref) was assessed using the doubly labelled water method and indirect calorimetry. Average AEEActi was 5760 kJ per 24 h and not significantly different from AEEref (5020 kJ per 24 h). On average, AEERT3 and AEEIDEEA were 2010 and 1750 kJ per 24 h lower than AEEref, respectively (P < 0·001). The limits of agreement (± 2 sd) were 2940 (Actiheart), 1820 (RT3) and 2650 (IDEEA) kJ per 24 h. The variance for AEERT3 was lower than for AEEActi (P = 0·006). The RT3 classified 60 % of the women in the correct activity category while the corresponding value for IDEEA and Actiheart was 30 %. In conclusion, the Actiheart may be useful for groups and the RT3 for individuals while the IDEEA requires further development. The results are likely to be relevant for a large proportion of Western women of reproductive age and demonstrate that the procedure selected to assess physical activity can greatly influence the possibilities to uncover important aspects regarding interactions between physical activity, diet and health.

Components and variations in daily energy expenditure of athletic and non-athletic adolescents in free-living conditions

2000 ◽  
Vol 84 (4) ◽  
pp. 531-539 ◽  
Author(s):  
Jérôme Ribeyre ◽  
Nicole Fellmann ◽  
Jean Vernet ◽  
Michel Delaître ◽  
Alain Chamoux ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Direct Method ◽  
Exercise Duration ◽  
Living Conditions ◽  
Fat Free Mass ◽  
Whole Body ◽  
Daily Energy Expenditure ◽  
Free Living ◽  
Daily Energy ◽  
Free Living Conditions

The objectives of the study were to determine: (1) daily energy expenditure (EE) of athletic and non-athletic adolescents of both sexes in free-living conditions; (2) day-to-day variations in daily EE during 1 week; (3) energy costs of the main activities; and (4) the effect of usual activity on EE during sleep, seated and miscellaneous activities. Fifty adolescents (four groups of eleven to fifteen boys or girls aged 16–19 years) participated in the study. Body composition was measured by the skinfold-thickness method, and VO2max and external mechanical power (EMP) by a direct method (respiratory gas exchanges) on a cycloergometer. Daily EE and partial EE in free-living conditions were computed from heart-rate (HR) recordings during seven consecutive days using individual prediction equations established from the data obtained during a 24 h period spent in whole-body calorimeters with similar activities. Fat-free mass (FFM), VO2max, EMP, daily EE and EE during sleep were significantly higher in athletic than in non-athletic subjects. After adjustment for FFM, VO2max, EMP, daily EE and EE during exercise were still higher in athletic than in non-athletic adolescents (P<0·001). However, adjusted sleeping EE was not significantly different between athletic and non-athletic adolescents. Increases in exercise EE were partly compensated for by significant reductions in EE during schoolwork and miscellaneous activities. Thus, the differences in daily EE between athletic and non-athletic subjects resulted mainly from increases in FFM and EE during exercise (duration and energy cost).

scholarly journals Critical evaluation of the factorial and heart-rate recording methods for the determination of energy expenditure of free-living elderly people

1997 ◽  
Vol 78 (5) ◽  
pp. 709-722 ◽  
Author(s):  
Beatrice Morio ◽  
Patrick Ritz ◽  
Elisabeth Verdier ◽  
Christophe Montaurier ◽  
Bernard Beaufrere ◽  
...  
Keyword(s):  
Heart Rate ◽  
Energy Expenditure ◽  
Elderly People ◽  
Living Conditions ◽  
Energy Costs ◽  
Free Living ◽  
Factorial Method ◽  
Recording Method ◽  
Mean Differences ◽  
Free Living Conditions

The aim of the present study was to validate against the doubly-labelled water (DLW) technique the factorial method and the heart rate (HR) recording method for determining daily energy expenditure (DEE) of elderly people in free-living conditions. The two methods were first calibrated and validated in twelve healthy subjects (six males and six females; 70·1 (sd 2·7) years) from opencircuit whole-body indirect calorimetry measurements during three consecutive days and during 1 d respectively. Mean energy costs of the various usual activities were determined for each subject using the factorial method, and individual relationships were set up between HR and energy expenditure for the HR recording method. In free-living conditions, DEE was determined over the same period of time by the DLW, the factorial and the HR recording methods during 17, 14 and 4 d respectively. Mean free-living DEE values for men estimated using the DLW, the factorial and the HR recording methods were 12·8 (sd 3·1), 12·7 (sd 2·2) and 13·5 (sd 2·7) MJ/d respectively. Mean free-living DEE values for women were 9·6 (sd 0·8), 8·8 (sd 1·2) and 10·2 (sd 1·5) MJ/d respectively. No significant differences were found between the three methods for either sex, using the Bland & Altman (1986) test. Mean differences in DEE of men were -0·9 (sd 11·8) % between the factorial and DLW methods, and +4·7 (sd 16·1) % between the HR recording and DLW methods. Similarly, in women, mean differences were -7·7 (sd 12·7) % between the factorial and DLW methods, and +5·9 (sd 8·8) % between the HR recording and DLW methods. It was concluded that the factorial and the HR recording methods are satisfactory alternatives to the DLW method when considering the mean DEE of a group of subjects. Furthermore, mean energy costs of activities calculated in the present study using the factorial method were shown to be suitable for determining free-living DEE of elderly people when the reference value (i.e. sleeping metabolic rate) is accurately measured.

scholarly journals Comparison of methods for determining energy expenditure of elderly people in free-living conditions

1997 ◽  
Vol 37 (3) ◽  
pp. 358-359
Author(s):  
B. Morio ◽  
P. Ritz ◽  
E. Verdier ◽  
C. Montaurier ◽  
Y. Boirie ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Elderly People ◽  
Living Conditions ◽  
Comparison Of Methods ◽  
Free Living ◽  
Free Living Conditions

Validation of the RT3 Accelerometer for Measuring Physical Activity of Children in Simulated Free-Living Conditions

2008 ◽  
Vol 20 (2) ◽  
pp. 181-197 ◽  
Author(s):  
David Xiaoqian Sun ◽  
Gordon Schmidt ◽  
Sock Miang Teo-Koh
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Oxygen Uptake ◽  
Metabolic Cost ◽  
Physical Activities ◽  
Living Conditions ◽  
Free Living ◽  
Outdoor Test ◽  
Activity Energy ◽  
Free Living Conditions

This is a validation study of the RT3 accelerometer for measuring physical activities of children in simulated free-living conditions. Twenty-five children age 12–14 years completed indoor testing, and 18 of them completed outdoor testing. Activity counts from the RT3 accelerometer estimated activity energy expenditure (AEE) and the Cosmed K4b2 analyzer measured oxygen uptake. Correlations were found between activity counts and metabolic cost (r = .95, p < .001), metabolic cost and RT3 estimated AEE (r = .96, p < .001) in the indoor test, activity counts and RT3 estimated AEE (r = .97, p < .001) in the outdoor test, and activity counts and metabolic cost when all activities were combined (r = .77, p < .001). Results indicate that the RT3 accelerometer might be used to provide acceptable estimates of free-living physical activity in children.

Energy expenditure under free-living conditions in normal-weight and overweight women

1992 ◽  
Vol 55 (1) ◽  
pp. 14-21 ◽  
Author(s):  
S Welle ◽  
G B Forbes ◽  
M Statt ◽  
R R Barnard ◽  
J M Amatruda
Keyword(s):  
Energy Expenditure ◽  
Normal Weight ◽  
Living Conditions ◽  
Free Living ◽  
Overweight Women ◽  
Free Living Conditions

scholarly journals The eMouveRecherche application competes with research devices to evaluate energy expenditure, physical activity and still time in free-living conditions

2017 ◽  
Vol 69 ◽  
pp. 128-134 ◽  
Author(s):  
Romain Guidoux ◽  
Martine Duclos ◽  
Gérard Fleury ◽  
Philippe Lacomme ◽  
Nicolas Lamaudière ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Living Conditions ◽  
Free Living ◽  
Free Living Conditions

A moderate dose of caffeine ingestion does not change energy expenditure but decreases sleep time in physically active males: a double-blind randomized controlled trial

2013 ◽  
Vol 38 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Pedro B. Júdice ◽  
João P. Magalhães ◽  
Diana A. Santos ◽  
Catarina N. Matias ◽  
Ana Isabel Carita ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Sleep Time ◽  
Living Conditions ◽  
Acute Effects ◽  
Moderate Dose ◽  
Free Living ◽  
Double Blind ◽  
Physically Active ◽  
Free Living Conditions

Research on the effect of caffeine on energy expenditure (EE), physical activity (PA), and total sleep time (TST) during free-living conditions using objective measures is scarce. We aimed to determine the impact of a moderate dose of caffeine on TST, resting EE (REE), physical activity EE (PAEE), total EE (TEE), and daily time spent in sedentary, light, moderate, and vigorous intensity activities in a 4-day period and the acute effects on heart rate (HR) and EE in physically active males. Using a double-blind crossover trial (ClinicalTrials.gov ID: NCT01477294) with two conditions (4 days each with 3-day washout) randomly ordered as caffeine (5 mg/kg of body mass/day) and placebo (maltodextrin) administered twice per day (2.5 mg/kg), 30 nonsmoker males, low-caffeine users (<100 mg/day), aged 20–39, were followed. Body composition was assessed by dual-energy X-ray absorptiometry. PA was assessed by accelerometry, while a combined HR and movement sensor estimated EE and HR on the second hour after the first administration dose. REE was assessed by indirect calorimetry, and PAEE was calculated as [TEE − (REE + 0.1TEE)]. TST and daily food records were obtained. Repeated measures ANOVA and ANCOVA were used. After a 4-day period, adjusting for fat-free mass, PAEE, and REE, TST was reduced (p = 0.022) under caffeine intake, while no differences were found between conditions for REE, PAEE, TEE, and PA patterns. Also, no acute effects on HR and EE were found between conditions. Though a large individual variability was observed, our findings revealed no acute or long-term effects of caffeine on EE and PA but decreased TST during free-living conditions in healthy males.

scholarly journals Detecting sleep in free-living conditions without sleep-diaries: a device-agnostic, wearable heart rate sensing approach

2020 ◽  
Author(s):  
Ignacio Perez-Pozuelo ◽  
Marius Posa ◽  
Dimitris Spathis ◽  
Kate Westgate ◽  
Nicholas Wareham ◽  
...  
Keyword(s):  
Heart Rate ◽  
Mean Squared Error ◽  
Sleep Time ◽  
Living Conditions ◽  
Free Living ◽  
Sleep Diaries ◽  
Detection Algorithms ◽  
Angular Change ◽  
Large Populations ◽  
Free Living Conditions

Study Objectives: The rise of multisensor wearable devices offers a unique opportunity for the objective inference of sleep outside laboratories, enabling longitudinal monitoring in large populations. To enhance objectivity and facilitate cross-cohort comparisons, sleep detection algorithms in free-living conditions should rely on personalized but device-agnostic features, which can be applied without laborious human annotations or sleep diaries. We developed and validated a heart rate-based algorithm that captures inter- and intra-individual sleep differences, does not require human input and can be applied in free-living conditions. Methods: The algorithm was evaluated across four study cohorts using different research- and consumer-grade devices for over 2,000 nights. Recording periods included both 24-hour free-living and conventional lab-based night-only data. Our method was systematically optimized and validated against polysomnography and sleep diaries and compared to sleep periods produced by accelerometry-based angular change algorithms. Results: We evaluated our approach in four cohorts comprising two free-living studies with detailed sleep diaries and two PSG studies. In the free-living studies, the algorithm yielded a mean squared error (MSE) of 0.06 to 0.07 and a total sleep time deviation of -0.60 to -14.08 minutes. In the laboratory studies, the MSE ranged between 0.06 and 0.10 yielding a time deviation between -23.23 and -33.15 minutes. Conclusions: Our results suggest that our heart rate-based algorithm can reliably and objectively infer sleep under longitudinal, free-living conditions, independent of the wearable device used. This represents the first open-source algorithm to leverage heart rate data for inferring sleep without requiring sleep diaries or annotations.

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