The assessment of physical activity

Author(s):  
Maria Hildebrand ◽  
Ulf Ekelund

Physical activity (PA) is a complex human behaviour that comprises several dimensions, including intensity, frequency, duration, type/mode, and domain. PA outcomes can be divided into two main categories: the estimation of energy expenditure, and other quantifying metrics of PA. Subjective methods, including questionnaires and diaries, are often easy to use, cost-effective and are able to assess type of PA and to rank PA levels. However, they are prone to several limitations and are not able to provide accurate estimates of PA, energy expenditure, or intensity. Objective methods, including accelerometers and heart rate monitors, provide a reasonably accurate quantification of intensity, frequency, duration, and PA energy expenditure. When choosing a method for assessing PA several factors need to be considered, including validity, reliability, accuracy, and responsiveness, as well as the purpose of the study, the population being studied, and the outcome of interest.

2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.


1998 ◽  
Vol 30 (Supplement) ◽  
pp. 56 ◽  
Author(s):  
C. A. Burks ◽  
B. J. Sharkey ◽  
S. A. Tysk ◽  
T. W. Zderic ◽  
S. L. Johnson ◽  
...  

2012 ◽  
Vol 113 (10) ◽  
pp. 1530-1536 ◽  
Author(s):  
Robert Ojiambo ◽  
Kenn Konstabel ◽  
Toomas Veidebaum ◽  
John Reilly ◽  
Vera Verbestel ◽  
...  

One of the aims of Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants (IDEFICS) validation study is to validate field measures of physical activity (PA) and energy expenditure (EE) in young children. This study compared the validity of uniaxial accelerometry with heart-rate (HR) monitoring vs. triaxial accelerometry against doubly labeled water (DLW) criterion method for assessment of free-living EE in young children. Forty-nine European children (25 female, 24 male) aged 4–10 yr (mean age: 6.9 ± 1.5 yr) were assessed by uniaxial ActiTrainer with HR, uniaxial 3DNX, and triaxial 3DNX accelerometry. Total energy expenditure (TEE) was estimated using DLW over a 1-wk period. The longitudinal axis of both devices and triaxial 3DNX counts per minute (CPM) were significantly ( P < 0.05) associated with physical activity level (PAL; r = 0.51 ActiTrainer, r = 0.49 uniaxial-3DNX, and r = 0.42 triaxial Σ3DNX). Eight-six percent of the variance in TEE could be predicted by a model combining body mass (partial r2 = 71%; P < 0.05), CPM-ActiTrainer (partial r2 = 11%; P < 0.05), and difference between HR at moderate and sedentary activities (ModHR − SedHR) (partial r2 = 4%; P < 0.05). The SE of TEE estimate for ActiTrainer and 3DNX models ranged from 0.44 to 0.74 MJ/days or ∼7–11% of the average TEE. The SE of activity-induced energy expenditure (AEE) model estimates ranged from 0.38 to 0.57 MJ/day or 24–26% of the average AEE. It is concluded that the comparative validity of hip-mounted uniaxial and triaxial accelerometers for assessing PA and EE is similar.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Sanjay K. Prajapati ◽  
Avril Mansfield ◽  
William H. Gage ◽  
Dina Brooks ◽  
William E. McIlroy

Despite the importance of regaining independent ambulation after stroke, the amount of daily walking completed during in-patient rehabilitation is low. The purpose of this study is to determine if (1) walking-related heart rate responses reached the minimum intensity necessary for therapeutic aerobic exercise (40%–60% heart rate reserve) or (2) heart rate responses during bouts of walking revealed excessive workload that may limit walking (>80% heart rate reserve). Eight individuals with subacute stroke attending in-patient rehabilitation were recruited. Participants wore heart rate monitors and accelerometers during a typical rehabilitation day. Walking-related changes in heart rate and walking bout duration were determined. Patients did not meet the minimum cumulative requirements of walking intensity (>40% heart rate reserve) and duration (>10 minutes continuously) necessary for cardiorespiratory benefit. Only one patient exceeded 80% heart rate reserve. The absence of significant increases in heart rate associated with walking reveals that patients chose to walk at speeds well below a level that has meaningful cardiorespiratory health benefits. Additionally, cardiorespiratory workload is unlikely to limit participation in walking. Measurement of heart rate and walking during in-patient rehabilitation may be a useful approach to encourage patients to increase the overall physical activity and to help facilitate recovery.


1986 ◽  
Vol 55 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Joan D. Webster ◽  
Gillian Welsh ◽  
J. S. Garrow

1. A heat-sink calorimeter, suitable for the measurement of energy expenditure in human subjects over periods up to 26 h, is described.2. The performance of the calorimeter is illustrated by a study of four normal subjects at rest or performing clerical work for a period of 7.5 h. Each condition was measured in duplicate in each subject. On the resting days the subjects were recumbent, and on the working days they were seated throughout the measurement period. Heart rate was monitored by infra-red telemetry and physical activity by an ultrasound movement detector. Urinary cortisol excretion was also measured as an indicator of stress.3. In each subject the mean heat loss on working days was higher than that on resting days: the increase ranged from 5.1 % to 16.7, with a mean value of 10.0% (P = 0.015). There was no significant difference between resting and working days in heart rate, physical activity or urinary cortisol excretion.4. The present study confirms that tiring clerical work has very little effect on 24 h energy expenditure.


2015 ◽  
Author(s):  
Timur Nuritdinow ◽  
Christian Lederer ◽  
Martin Daumer

Mobile accelerometry is more and more being used in clinical trials as a tool to measure outcomes related to physical activity. However, it is still difficult to integrate exercise therapy in controlled clinical trials. We want to explore the option to use a unified platform to both measure outcome and prescribe and monitor exercise therapy using the actibelt technology platform. We present a prototype based on the actibelt platform that allows to use the wearable device as a mouse controller for a large set of potentially interesting games. Playing an exergame a person is encouraged to increase its level of daily motion while engaging in an activity that is perceived as interesting and fun, thus, providing an intrinsic motivation. Studies suggest that exergaming can be compared to light or moderate physical activity considering the heart rate, oxygen consumption and energy expenditure.


Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 544-549
Author(s):  
Johnny Alberto Montoya Arroyo ◽  
Jimena Ramírez Cambronero ◽  
Luis Fernando Aragón Vargas 

A la luz de la importancia de la actividad física regular como un elemento clave en la prevención de muchas enfermedades, se reportan a continuación los resultados del estudio realizado con un aparato para ejercitarse en la casa. 22 estudiantes universitarios jóvenes, aparentemente saludables, participaron en el estudio. Se midió el efecto agudo de 10 minutos de ejercicio con el dispositivo sobre la frecuencia cardíaca, el costo energético y la circulación periférica en las piernas. Se contrastan los resultados obtenidos con las afirmaciones que se hacen en distintas versiones de publicidad del aparato en cuestión. No se obtuvieron efectos fisiológicos agudos significativos de la utilización del dispositivo durante 10 minutos continuos: la frecuencia cardíaca aumentó apenas 8 latidos por minuto con respecto al reposo y la temperatura cutánea no varió o más bien disminuyó. El costo energético no fue significativamente mayor mientras se usaba el dispositivo en comparación con la condición de reposo. Estos resultados sugieren que aquellas personas que utilicen este dispositivo en sustitución de la actividad física regular estarán sacrificando beneficios importantes para su salud.  Abstract. The importance of doing regular physical activity (exercise) as a key element in the prevention of several diseases is well known. The following experiment was performed to evaluate the acute physiological effects of a home-exercise machine on 22 young, apparently healthy, university students. While the individuals exercised in the machine for ten (10) minutes, measures of heart rate, energy expenditure and peripheral circulation to the legs were taken and recorded. The results were contrasted against the claims made in different ads promoting the selected apparatus. There were no significant acute physiological effects resulting from the utilization of the machine during a 10-minute period. Heart rate increased only 8 beats per minute (bpm) from baseline and the temperature measured on the legs showed no variation or was even reduced. Energy expenditure was not significantly higher while using the device in comparison with the resting condition. These results suggest that consumers using this home-exercise equipment as a substitute of performing regular physical activity will be sacrificing important health benefits.


10.2196/16716 ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. e16716 ◽  
Author(s):  
Peter Düking ◽  
Laura Giessing ◽  
Marie Ottilie Frenkel ◽  
Karsten Koehler ◽  
Hans-Christer Holmberg ◽  
...  

Background Physical activity reduces the incidences of noncommunicable diseases, obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative approaches to monitor and promote physical activity are warranted. While individual monitoring of physical activity aids in the design of effective interventions to enhance physical activity, a basic prerequisite is that the monitoring devices exhibit high validity. Objective Our goal was to assess the validity of monitoring heart rate (HR) and energy expenditure (EE) while sitting or performing light-to-vigorous physical activity with 4 popular wrist-worn wearables (Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa). Methods While wearing the 4 different wearables, 25 individuals performed 5 minutes each of sitting, walking, and running at different velocities (ie, 1.1 m/s, 1.9 m/s, 2.7 m/s, 3.6 m/s, and 4.1 m/s), as well as intermittent sprints. HR and EE were compared to common criterion measures: Polar-H7 chest belt for HR and indirect calorimetry for EE. Results While monitoring HR at different exercise intensities, the standardized typical errors of the estimates were 0.09-0.62, 0.13-0.88, 0.62-1.24, and 0.47-1.94 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 0.9%-4.3%, 2.2%-6.7%, 2.9%-9.2%, and 4.1%-19.1%, respectively, for the 4 wearables. While monitoring EE at different exercise intensities, the standardized typical errors of the estimates were 0.34-1.84, 0.32-1.33, 0.46-4.86, and 0.41-1.65 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 13.5%-27.1%, 16.3%-28.0%, 15.9%-34.5%, and 8.0%-32.3%, respectively. Conclusions The Apple Watch Series 4 provides the highest validity (ie, smallest error rates) when measuring HR while sitting or performing light-to-vigorous physical activity, followed by the Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, in that order. The Apple Watch Series 4 and Polar Vantage V are suitable for valid HR measurements at the intensities tested, but HR data provided by the Garmin Fenix 5 and Fitbit Versa should be interpreted with caution due to higher error rates at certain intensities. None of the 4 wrist-worn wearables should be employed to monitor EE at the intensities and durations tested.


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