title: Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure.
abstract: We compared SenseWear Armband versions (v) 2.2 and 5.2 for estimating energy expenditure in healthy adults. Thirty-four adults (26 women), 30.1 ± 8.7 years old, performed two trials that included light-, moderate- and vigorous-intensity activities: (1) structured routine: seven activities performed for 8-min each, with 4-min of rest between activities; (2) semi-structured routine: 12 activities performed for 5-min each, with no rest between activities. Energy expenditure was measured by indirect calorimetry and predicted using SenseWear v2.2 and v5.2. Compared to indirect calorimetry (297.8 ± 54.2 kcal), the total energy expenditure was overestimated (P < 0.05) by both SenseWear v2.2 (355.6 ± 64.3 kcal) and v5.2 (342.6 ± 63.8 kcal) during the structured routine. During the semi-structured routine, the total energy expenditure for SenseWear v5.2 (275.2 ± 63.0 kcal) was not different than indirect calorimetry (262.8 ± 52.9 kcal), and both were lower (P < 0.05) than v2.2 (312.2 ± 74.5 kcal). The average mean absolute per cent error was lower for the SenseWear v5.2 than for v2.2 (P < 0.001). SenseWear v5.2 improved energy expenditure estimation for some activities (sweeping, loading/unloading boxes, walking), but produced larger errors for others (cycling, rowing). Although both algorithms overestimated energy expenditure as well as time spent in moderate-intensity physical activity (P < 0.05), v5.2 offered better estimates than v2.2.
authors: a Exercise Science and Health Promotion, Healthy Lifestyles Research Center , Arizona State University , Phoenix , AZ , USA.|b Department of Exercise Physiology, College of Nursing and Health Sciences , Valdosta State University , Valdosta , GA , USA.
authors: Dharini M
authors: DM
authors: Bhammar
authors: a Exercise Science and Health Promotion, Healthy Lifestyles Research Center , Arizona State University , Phoenix , AZ , USA.|c Departments of Kinesiology and Biology , Point Loma Nazarene University , San Diego , CA , USA.
authors: Brandon J
authors: BJ
authors: Sawyer
authors: a Exercise Science and Health Promotion, Healthy Lifestyles Research Center , Arizona State University , Phoenix , AZ , USA.
authors: Wesley J
authors: WJ
authors: Tucker
authors: d School of Health, Physical Education and Recreation , University of Nebraska at Omaha , Omaha , NE , USA.
authors: Jung-Min
authors: JM
authors: Lee
authors: a Exercise Science and Health Promotion, Healthy Lifestyles Research Center , Arizona State University , Phoenix , AZ , USA.
authors: Glenn A
authors: GA
authors: Gaesser
mesh_terms: D061725:Accelerometry / Q000295:instrumentation / Q000379:methods*; D000328:Adult; D000465:Algorithms; D002153:Calorimetry, Indirect; D004734:Energy Metabolism; D015444:Exercise / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology; D005082:Physical Exertion / Q000502:physiology*; D015203:Reproducibility of Results; D012146:Rest; D013647:Task Performance and Analysis; D055815:Young Adult
keywords: Activity monitor; accelerometer; assessment; calorimetry; physical activity