scholarly journals The validation of physical activity instruments for measuring energy expenditure: problems and pitfalls

1998 ◽  
Vol 1 (4) ◽  
pp. 265-271 ◽  
Author(s):  
Kirsten L Rennie ◽  
Nicholas J Wareham
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Validation Study ◽  
Measurement Instrument ◽  
Frame Of Reference ◽  
Exposure Measurement ◽  
Planning Stage ◽  
Correlated Error ◽  
Comparison Technique ◽  
Selection Of

AbstractObjective:To review and categorize the problems associated with undertaking physical activity validation studies and to construct a checklist against which any study could be compared.Results:The studies reviewed demonstrated problems in defining the dimension of physical activity that is of interest and in the selection of an appropriate comparison technique. Ideally this should be closely related to the true exposure of interest and assess that exposure objectively and without correlated error from the study instrument in question. In many studies inappropriate comparison methods have been chosen which do not measure the true underlying exposure and which are likely to have correlated error. The choice of study populations, the frame of reference of the exposure measurement and the use of appropriate statistical methods are also problematic areas.Conclusions:There is no ideal measurement instrument or validation study design that is suitable for all situations. However, the checklist in this paper provides a means whereby the appropriateness of studies already undertaken or at the planning stage can be assessed.

scholarly journals Validity of hip-mounted uniaxial accelerometry with heart-rate monitoring vs. triaxial accelerometry in the assessment of free-living energy expenditure in young children: the IDEFICS Validation Study

2012 ◽  
Vol 113 (10) ◽  
pp. 1530-1536 ◽  
Author(s):  
Robert Ojiambo ◽  
Kenn Konstabel ◽  
Toomas Veidebaum ◽  
John Reilly ◽  
Vera Verbestel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Young Children ◽  
Validation Study ◽  
Longitudinal Axis ◽  
Activity Level ◽  
Free Living ◽  
Model Combining ◽  
Sedentary Activities

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.

scholarly journals Energy Expenditure Compared to Physical Activity Measured by Accelerometry and Self-Report in Adolescents: A Validation Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e77036 ◽  
Author(s):  
Pedro C. Hallal ◽  
Felipe F. Reichert ◽  
Valerie L. Clark ◽  
Kelly L. Cordeira ◽  
Ana M. B. Menezes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Validation Study ◽  
Self Report

Energy expenditure and physical activity in patients with anorexia nervosa

2013 ◽  
Vol 121 (03) ◽  
Author(s):  
U Elbelt ◽  
V Haas ◽  
T Hofmann ◽  
S Jeran ◽  
H Pietz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Anorexia Nervosa ◽  
Energy Expenditure

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 Physical activity as a therapeutic strategy in mental health: an integrative review with implication for nursing care

2017 ◽  
Vol 21 (3) ◽  
Author(s):  
Bruno da Silva Lourenço ◽  
Maria Angélica de Almeida Peres ◽  
Isaura Setenta Porto ◽  
Rosane Mara Pontes de Oliveira ◽  
Virginia Faria Damásio Dutra
Keyword(s):  
Physical Activity ◽  
Mental Disorders ◽  
Nursing Care ◽  
Therapeutic Strategy ◽  
Scientific Evidence ◽  
Well Being ◽  
Integrative Review ◽  
Healthy Lifestyles ◽  
Practical Effect ◽  
Selection Of

Abstract This study is an integrative review with the aim to identify and describe the scientific evidence of the practical effect of physical activity in people with mental disorders. For the selection of articles, the databases CINAHL, MEDLINE, LILACS, SciELO, Cochrane and Scopus were used. The sample of this review consisted of eight articles. Their analysis resulted in the categories: obesity and metabolic syndrome, specialized nursing, sedentary and healthy lifestyles, support and social network, incentive to the practice of physical activity, and anxiety and physical activity. The benefits to physical health were partially elucidated by the sample. The implications for nursing care arise from the therapeutic efficacy of physical activity by people with mental disorders, adding individual and collective benefits that provide socialization and promotion of well-being.

scholarly journals Estimating Physical Activity Energy Expenditure Using an Ensemble Model-Based Patch-Type Sensor Module

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 861
Author(s):  
Kyeung Ho Kang ◽  
Mingu Kang ◽  
Siho Shin ◽  
Jaehyo Jung ◽  
Meina Li
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Mean Squared Error ◽  
Absolute Error ◽  
Ensemble Model ◽  
Direct Calorimetry ◽  
Patch Type ◽  
Mortality And Morbidity ◽  
Squared Error ◽  
Sensor Module

Chronic diseases, such as coronary artery disease and diabetes, are caused by inadequate physical activity and are the leading cause of increasing mortality and morbidity rates. Direct calorimetry by calorie production and indirect calorimetry by energy expenditure (EE) has been regarded as the best method for estimating the physical activity and EE. However, this method is inconvenient, owing to the use of an oxygen respiration measurement mask. In this study, we propose a model that estimates physical activity EE using an ensemble model that combines artificial neural networks and genetic algorithms using the data acquired from patch-type sensors. The proposed ensemble model achieved an accuracy of more than 92% (Root Mean Squared Error (RMSE) = 0.1893, R2 = 0.91, Mean Squared Error (MSE) = 0.014213, Mean Absolute Error (MAE) = 0.14020) by testing various structures through repeated experiments.

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