Validation of the SenseWear Pro Armband™ to Estimate Energy Expenditure during a Simulation of Daily Activity

Mealey, Alyssa D.; Jakicic, John M.; Mealey, Lisa M.; Davis, Kelliann K.; McDermott, M. P.

doi:10.1249/01.mss.0000273659.01877.1a

Cited by 2 publications

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“…We only consider days with sufficient wearing time of at least 18 h on weekdays, or at least 20 h on weekend days 47 . Under these conditions, the SWA delivers valid and reliable data as proven by several validation studies 46,[48][49][50] . The SWA software estimates physical activity in units of MET, where a MET value of unity refers to the amount of oxygen consumed while sitting at total rest.…”

Section: Physical Activity Data and Met Estimationmentioning

confidence: 94%

The aging human body shape

et al. 2020

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Body shape and composition are heterogeneous among humans with possible impact for health. Anthropometric methods and data are needed to better describe the diversity of the human body in human populations, its age dependence, and associations with health risk. We applied whole-body laser scanning to a cohort of 8499 women and men of age 40-80 years within the frame of the LIFE (Leipzig Research Center for Civilization Diseases) study aimed at discovering health risk in a middle European urban population. Body scanning delivers multidimensional anthropometric data, which were further processed by machine learning to stratify the participants into body types. We here applied this body typing concept to describe the diversity of body shapes in an aging population and its association with physical activity and selected health and lifestyle factors. We find that aging results in similar reshaping of female and male bodies despite the large diversity of body types observed in the study. Slim body shapes remain slim and partly tend to become even more lean and fragile, while obese body shapes remain obese. Female body shapes change more strongly than male ones. The incidence of the different body types changes with characteristic Life Course trajectories. Physical activity is inversely related to the body mass index and decreases with age, while self-reported incidence for myocardial infarction shows overall the inverse trend. We discuss health risks factors in the context of body shape and its relation to obesity. Body typing opens options for personalized anthropometry to better estimate health risk in epidemiological research and future clinical applications.

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Section: Physical Activity Data and Met Estimationmentioning

confidence: 94%

The aging human body shape

et al. 2020

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“…Direct Calorimetry (DC) assesses the metabolic rate of humans via the measurement of heat production, similar to the method for determining energy value of food using a bomb calorimeter (56). A human calorimeter directly measures the body's EE (heat production) by detecting changes in water temperature circulated through a series of coils at the top of a chamber (56).…”

Section: Direct Calorimetry 222mentioning

confidence: 99%

“…A human calorimeter directly measures the body's EE (heat production) by detecting changes in water temperature circulated through a series of coils at the top of a chamber (56).…”

Section: Direct Calorimetry 222mentioning

confidence: 99%

“…This method is rarely used due to the length of subject confinement, cost, and trained personnel needed to conduct testing (56).…”

Section: Direct Calorimetry 222mentioning

confidence: 99%

“…PAEE is the EE associated with muscular contractions and maintaining body posture (61). Under most circumstances, the BMR of an individual accounts for the largest proportion of TEE and is primarily determined by fat-free body mass, gender, thyroid hormones, and protein turnover (56). For individuals with a sedentary lifestyle this can account for 60% of the total daily EE (61).…”

Section: Introductionmentioning

confidence: 99%

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Validation Of The Bodymedia Mini Armband To Estimate Energy Expenditure Of Female Basketball Players During Variable Intensity Game-like Conditions

Taylor¹

2014

Medicine & Science in Sports & Exercise

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iv Monitoring an athlete's energy intake and energy expenditure (EE) is an important consideration of nutritional planning for sport conditioning and peak performance. In order to provide appropriate recommendations regarding nutritional requirements and caloric needs, an accurate determination of energy requirements is necessary. By knowing an individual's EE, a coach or trainer may be effectively able to determine training loads and volumes necessary for periodization, and seasonal planning for a particular sport. Purpose: To examine the accuracy of the BodyMedia mini armband, to assess EE in female basketball players during various-intensity game-like conditions. Methods: A cross-sectional correlation design with multiple observations was employed. This investigation required three testing sessions, an orientation session, and 2 experimental trial sections. Trials included a maximal multistage 20-m shuttle run (Trial I) and 30-minute basketball skills session (Trial II). The independent variable for this investigation was EE estimated by the Mini armband. The dependent variable was EE determined by the indirect calorimetry (IC) method. Results: EE assessed with the Mini and EE measured with the IC method was significantly correlated for both Trial I (r= 0.839) and Trial II (r= 0.833). EE calculated by the Mini was significantly underestimated in both Trial I (9.41 ± 26.1 total kcals) and Trial II (56.71 ± 14.1 total kcals). During Trial I the underestimation of EE increased with an increase in test level and intensity. Conclusion: Due to the underestimation of EE by the Mini, the development of exercise specific algorithms to improve the estimation of EE during intermittent exercise in basketball players is warranted. VALIDATION OF THE BODYMEDIA MINI ARMBAND TO ESTIMATE ENERGY EXPENDITURE OF FEMALE BASKETBALL PLAYERS DURING VARIABLE INTENSITY GAME-LIKE CONDITIONS INTRODUCTIONMonitoring an athlete's energy intake and energy expenditure (EE) is an important consideration of nutritional planning for sport conditioning and peak performance. In order to provide appropriate recommendations regarding nutritional requirements and caloric needs, an accurate determination of energy requirements is necessary. By knowing an individuals' EE, a coach or trainer is effectively able to determine training loads, volumes necessary for periodization, and seasonal planning for a particular sport. When caloric intake is not appropriate, changes in body composition may negatively impact overall health and athletic performance (49).Total energy expenditure (TEE) is the amount of energy needed to meet daily physiological demands (48). Monitored across a 24 hour period, TEE includes the following components: 1) basal metabolic rate (BMR), (i.e. the amount of daily energy expended at rest in order to maintain bodily functions) (48); 2) thermic effect of food (i.e. the amount of energy expended during the digestion, absorption, and transportation of nutrients) (48); and 3) physical activity energy expenditure (PAEE) (i.e. the amount...

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Validation of the SenseWear Pro Armband™ to Estimate Energy Expenditure during a Simulation of Daily Activity

Cited by 2 publications

References 0 publications

The aging human body shape

The aging human body shape

Validation Of The Bodymedia Mini Armband To Estimate Energy Expenditure Of Female Basketball Players During Variable Intensity Game-like Conditions

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