scholarly journals Description and validation of the ActiReg®: a novel instrument to measure physical activity and energy expenditure

2004 ◽  
Vol 92 (6) ◽  
pp. 1001-1008 ◽  
Author(s):  
Bo-Egil Hustvedt ◽  
Alf Christophersen ◽  
Lene R. Johnsen ◽  
Heidi Tomten ◽  
Geraldine McNeill ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Body Position ◽  
Energy Costs ◽  
Motion Sensors ◽  
Storage Unit ◽  
Doubly Labelled Water ◽  
The Right ◽  
Different Levels ◽  
Objective Recording

The ActiReg® (PreMed AS, Oslo, Norway) system is unique in using combined recordings of body position and motion alone or combined with heart rate (HR) to calculate energy expenditure (EE) and express physical activity (PA). The ActiReg® has two pairs of position and motion sensors connected by cables to a battery-operated storage unit fixed to a waist belt. Each pair of sensors was attached by medical tape to the chest and to the front of the right thigh respectively. The collected data were transferred to a personal computer and processed by a dedicated program ActiCalc®. Calculation models for EE with and without HR are presented. The models were based on literature values for the energy costs of different activities and therefore require no calibration experiments. The ActiReg® system was validated against doubly labelled water (DLW) and indirect calorimetry. The DLW validation demonstrated that neither EE calculated from ActiReg® data alone (EEAR) nor from combined ActiReg® and HR data (EEAR–HR) were statistically different from DLW results. The EEAR procedure causes some underestimation of EE >11 MJ corresponding to a PA level >2·0. This underestimation is reduced by the EEAR–HR procedure. The objective recording of the time spent in different body positions and at different levels of PA may be useful in studies of PA in different groups and in studies of whether recommendations for PA are being met. The comparative ease of data collection and calculation should make ActiReg® a useful instrument to measure habitual PA level and EE.

scholarly journals Validation of ActiReg® to measure physical activity and energy expenditure against doubly labelled water in obese persons

2008 ◽  
Vol 100 (1) ◽  
pp. 219-226 ◽  
Author(s):  
Bo-Egil Hustvedt ◽  
Mette Svendsen ◽  
Arne Løvø ◽  
Lars Ellegård ◽  
Jostein Hallén ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Body Position ◽  
Weight Bearing ◽  
Fat Free Mass ◽  
Metabolic Risk ◽  
Doubly Labelled Water ◽  
Activity Ratios ◽  
Obese Subjects ◽  
The Mean

ActiReg® is an instrument that uses combined recordings of body position and motion to calculate energy expenditure (EE) and physical activity (PA). The aim of the study was to compare mean total energy expenditure (TEE) measured by ActiReg® and doubly labelled water (DLW) in obese subjects. TEE was measured by the DLW method during a period of 14 d in fifty obese men and women with metabolic risk factors. During the same period ActiReg® recordings were obtained for 7 d. RMR was measured by indirect calorimetry and also estimated by standardized equations. Because EE may be disproportionately increased in obese subjects during weight-bearing activities, we established a new set of physical activity ratios (PAR). These ratios were based on oxygen uptake measurements during treadmill walking. The mean TEE according to the DLW was 13·94 (sd 2·47) MJ/d. Mean TEE calculated from the ActiReg® data and measured RMR was 13·39 (sd 2·26) MJ/d, an underestimation of 0·55 MJ (95 % CI 0·13, 0·98; P = 0·012) or 3·9 %. RMR derived from standard equations based on weight, age and sex were overestimated while the RMR based on fat-free mass values in addition was underestimated. Despite slight underestimation ActiReg® may be used to measure TEE in obese subjects on two premises: RMR should be measured, and the increased EE during weight-bearing activities in obese subjects should be considered.

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation (Preprint)

2020 ◽  
Author(s):  
Anis Davoudi ◽  
Mamoun T. Mardini ◽  
Dave Nelson ◽  
Fahd Albinali ◽  
Sanjay Ranka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Activity Recognition ◽  
Recognition Accuracy ◽  
Body Position ◽  
Computer Work ◽  
Accelerometer Data ◽  
Upper Arm ◽  
Lifestyle Activities

BACKGROUND Research shows the feasibility of human activity recognition using Wearable accelerometer devices. Different studies have used varying number and placement for data collection using the sensors. OBJECTIVE To compare accuracy performance between multiple and variable placement of accelerometer devices in categorizing the type of physical activity and corresponding energy expenditure in older adults. METHODS Participants (n=93, 72.2±7.1 yrs) completed a total of 32 activities of daily life in a laboratory setting. Activities were classified as sedentary vs. non-sedentary, locomotion vs. non-locomotion, and lifestyle vs. non-lifestyle activities (e.g. leisure walk vs. computer work). A portable metabolic unit was worn during each activity to measure metabolic equivalents (METs). Accelerometers were placed on five different body positions: wrist, hip, ankle, upper arm, and thigh. Accelerometer data from each body position and combinations of positions were used in developing Random Forest models to assess activity category recognition accuracy and MET estimation. RESULTS Model performance for both MET estimation and activity category recognition strengthened with additional accelerometer devices. However, a single accelerometer on the ankle, upper arm, hip, thigh, or wrist had only a 0.03 to 0.09 MET increase in prediction error as compared to wearing all five devices. Balanced accuracy showed similar trends with slight decreases in balanced accuracy for detection of locomotion (0-0.01 METs), sedentary (0.13-0.05 METs) and lifestyle activities (0.08-0.04 METs) compared to all five placements. The accuracy of recognizing activity categories increased with additional placements (0.15-0.29). Notably, the hip was the best single body position for MET estimation and activity category recognition. CONCLUSIONS Additional accelerometer devices only slightly enhance activity recognition accuracy and MET estimation in older adults. However, given the extra burden of wearing additional devices, single accelerometers with appropriate placement appear to be sufficient for estimating energy expenditure and activity category recognition in older adults.

scholarly journals Comparison of total and activity energy expenditure estimates from physical activity questionnaires and doubly labelled water: a systematic review and meta-analysis

2020 ◽  
pp. 1-15 ◽  
Author(s):  
Mohammad Sharifzadeh ◽  
Minoo Bagheri ◽  
John R. Speakman ◽  
Kurosh Djafarian
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Mean Difference ◽  
Weighted Mean ◽  
Doubly Labelled Water ◽  
Significant Difference ◽  
Activity Questionnaires ◽  
Activity Energy

Abstract Physical activity questionnaires (PAQ) could be suitable tools in free-living people for measures of physical activity, total and activity energy expenditure (TEE and AEE). This meta-analysis was performed to determine valid PAQ for estimating TEE and AEE using doubly labelled water (DLW). We identified data from relevant studies by searching Google Scholar, PubMed and Scopus databases. This revealed thirty-eight studies that had validated PAQ with DLW and reported the mean differences between PAQ and DLW measures of TEE (TEEDLW − TEEPAQ) and AEE (AEEDLW − AEEPAQ). We assessed seventy-eight PAQ consisting of fifty-nine PAQ that assessed TEE and thirty-five PAQ that examined AEE. There was no significant difference between TEEPAQ and TEEDLW with a weighted mean difference of –243·3 and a range of –841·4 to 354·6 kJ/d, and a significant weighted mean difference of AEEDLW – AEE PAQ 414·6 and a range of 78·7–750·5. To determine whether any PAQ was a valid tool for estimating TEE and AEE, we carried out a subgroup analysis by type of PAQ. Only Active-Q, administered in two seasons, and 3-d PA diaries were correlated with TEE by DLW at the population level; however, these two PAQ did not demonstrate an acceptable limit of agreement at individual level. For AEE, no PAQ was correlated with DLW either at the population or at the individual levels. Active-Q and 3-d PA diaries were identified as the only valid PAQ for TEE estimation. Further well-designed studies are needed to verify this result and identify additional valid PAQ.

scholarly journals Accelerometry predicts daily energy expenditure in a bird with high activity levels

2013 ◽  
Vol 9 (1) ◽  
pp. 20120919 ◽  
Author(s):  
Kyle H. Elliott ◽  
Maryline Le Vaillant ◽  
Akiko Kato ◽  
John R. Speakman ◽  
Yan Ropert-Coudert
Keyword(s):  
Energy Expenditure ◽  
Energy Costs ◽  
Activity Levels ◽  
Wild Animals ◽  
Daily Energy Expenditure ◽  
Uria Lomvia ◽  
Doubly Labelled Water ◽  
Daily Energy ◽  
In The Wild ◽  
Parsimonious Model

Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres ( Uria lomvia ) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labelled water. Across three different locomotory modes (swimming, flying and movement on land), dynamic body acceleration was a good predictor of daily energy expenditure as measured independently by doubly labelled water ( R 2 = 0.73). The most parsimonious model suggested that different equations were needed to predict energy expenditure from accelerometry for flying than for surface swimming or activity on land ( R 2 = 0.81). Our results demonstrate that accelerometers can provide an accurate integrated measure of energy expenditure in wild animals using many different locomotory modes.

scholarly journals Water loss as a function of energy intake, physical activity and season

2005 ◽  
Vol 93 (2) ◽  
pp. 199-203 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Guy Plasqui ◽  
Annelies H. C. Goris
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Water Intake ◽  
Water Loss ◽  
Resting Energy Expenditure ◽  
Activity Level ◽  
Seasonal Effects ◽  
Water Turnover ◽  
Doubly Labelled Water

Although water is an important nutrient, there are no recommended intake values. Here, water intake, energy intake, physical activity and water loss was measured over 1 week in summer and in winter. Subjects were healthy volunteers, forty-two women and ten men, mean age of 29 (sd 7) years and mean BMI 21·8 (sd 2·2) kg/m2. Water intake was measured with a 7 d food and water record. Physical activity level (PAL) was observed as the ratio of total energy expenditure, as measured with doubly labelled water, to resting energy expenditure as measured in a respiration chamber. Water loss was measured with the deuterium elimination method. Water loss was highly reproducible and ranged from 0·20 to 0·35 l/MJ, independent of season and activity level, with higher values in women. Water loss was related to water and energy intake in summer (r 0·96, P<0·0001 and r 0·68, P<0·001, respectively) as well as in winter (r 0·98, P<0·0001 and r 0·63, P<0·01, respectively). Water loss was, for men, higher in subjects with a higher physical activity in summer (r 0·94, P<0·0001) and in winter (r 0·70, P<0·05). Normalizing water loss for differences in energy expenditure by expressing water loss in litres per MJ resulted in the same value for men in summer and winter. For women, physical activity-adjusted values of water loss were higher, especially in summer. In men, water turnover was determined by energy intake and physical activity, while seasonal effects appeared through energy expenditure. Women showed a higher water turnover that was unrelated to physical activity.

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.

scholarly journals Quantifying the free living energy exchanges of Arctic ungulates with stable isotopes

Rangifer ◽  
2000 ◽  
Vol 20 (2-3) ◽  
pp. 59 ◽  
Author(s):  
Paul Haggarty
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Requirement ◽  
Ecological Impact ◽  
The Arctic ◽  
Unknown Parameters ◽  
Free Living ◽  
Doubly Labelled Water ◽  
Energy Exchanges ◽  
Free Ranging

When natural diets meet an animal's requirement for energy, other essential nutrients will usually be supplied in amounts at least sufficient for survival. Knowledge of the energy requirements of free ranging species under typical conditions are important in assessing both their nutritional needs and their ecological impact. The doubly labelled water (DLW) method is currently the most promising objective field methodology for estimating free living energy expenditure but expenditure is only equal to the energy requirement when an animal is in energy balance. Reproduction and seasonal cycles of fat deposition and utilization represent significant components of the energy budget of arctic ungulates but the information gained in the course of a typical DLW study may be used to estimate processes such as milk output and fat storage and mobilization in order to predict requirements from expenditure. The DLW method has been exhaustively validated under highly controlled conditions and the introduction of innovations such as faecal sampling for the estimation of body water isotopic enrichment, the availability of appropriate correction factors and stoichiometrics for known sources of error, and iterative calculation of unknown parameters, have produced a methodology suitable for use in truly free ranging species. The few studies carried out so far in arctic ungulates indicate that previous predictions have generally underestimated the true level of expenditure, that there is considerable between animal variation in the level of expenditure and that this is largely determined by physical activity. The disadvantages of the DLW methodology are that it remains expensive and the isotope analysis is technically demanding. Furthermore, although DLW can provide an accurate value for free living energy expenditure, it is often important to have information on the individual components of expenditure, for example the relative contribution of physical activity and thermoregulatory thermogenesis, in order to interpret the values for overall expenditure. For these reasons the most valuable use of the DLW method in the field may be to validate factorial models and other approaches so that they may be used with confidence. Additional important information on the energy exchanges of free ranging animals may be obtained from other stable isotope methodologies. In addition to the use of the isotopes 2H and lsO in the DLW method, natural variations in the abundance of "C and 15N in the arctic environment may be exploited to study diet selection in truly free living arctic ungulates.

scholarly journals Activity Energy Expenditure in Youth: Sex, Age, and Body Size Patterns

2016 ◽  
Vol 13 (s1) ◽  
pp. S62-S70 ◽  
Author(s):  
Jung-Min Lee ◽  
Pedro F. Saint-Maurice ◽  
Youngwon Kim ◽  
Glenn A. Gaesser ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
Body Size ◽  
Energy Expenditure ◽  
Relative Intensity ◽  
Indirect Calorimetry ◽  
Physical Activities ◽  
Childhood And Adolescence ◽  
Energy Costs ◽  
Diverse Range ◽  
Activity Energy

Background:The assessment of physical activity (PA) and energy expenditure (EE) in youth is complicated by inherent variability in growth and maturation during childhood and adolescence. This study provides descriptive summaries of the EE of a diverse range of activities in children ages 7 to 13.Methods:A sample of 105 7- to 13-year-old children (boys: 57%, girls: 43%, and Age: 9.9 ± 1.9) performed a series of 12 activities from a pool of 24 activities while being monitored with an indirect calorimetry system.Results:Across physical activities, averages of VO2 ml·kg·min-1, VO2 L·min-1, EE, and METs ranged from 3.3 to 53.7 ml·kg·min-1, from 0.15 to 3.2 L·min-1, from 0.7 to 15.9 kcal·min-1, 1.5 MET to 7.8 MET, respectively.Conclusions:The energy costs of the activities varied by age, sex, and BMI status reinforcing the need to consider adjustments when examining the relative intensity of PA in youth.

scholarly journals Accuracy of Self-Reported Physical Activity Levels in Obese Adolescents

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Sarah A. Elliott ◽  
Kimberley A. Baxter ◽  
Peter S. W. Davies ◽  
Helen Truby
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Accurate Estimation ◽  
Accurate Information ◽  
Activity Levels ◽  
Doubly Labelled Water ◽  
Obese Adolescents ◽  
Individual Level ◽  
Physical Activity Levels

Introduction.Self-reported measures of habitual physical activity rely completely on the respondent’s ability to provide accurate information on their own physical activity behaviours. Our aim was to investigate if obese adolescents could accurately report their physical activity levels (PAL) using self-reported diaries.Methods.Total energy expenditure (TEE) was measured using doubly labelled water (DLW) and resting energy expenditure (REE) was measured via indirect calorimetry. Activity energy expenditure (AEE) and PAL values were derived from measured TEE and REE. Self-reported, four-day activity diaries were used to calculate daily MET values and averaged to give an estimated PAL value (ePAL).Results.Twenty-two obese adolescents, mean age13.2±1.8years, mean BMI31.3±4.6 kg/m2, completed the study. No significant differences between mean measured and estimated PAL values were observed (1.37±0.13versus1.40±0.34,P=0.74). Bland Altman analysis illustrated a significant relationship (r=-0.76,P<0.05) between the two methods; thus the bias was not consistent across a range of physical activity levels, with the more inactive overreporting their physical activity.Conclusion.At an individual level, obese adolescents are unlikely to be able to provide an accurate estimation of their own activity.

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