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Direct linkMason, Jalyn; Morris, Christopher; Long, Douglas E.; Sanden, Madison N.; Flack, Kyle – Measurement in Physical Education and Exercise Science, 2020
Accurate body composition assessment, which includes fat mass (adipose tissue mass, FM), fat-free mass (FFM), and percent fat mass (%FM) is needed to evaluate health and treatment efficacy. The current study compared body composition estimates obtained from the Norland Elite® DXA, BodPod®, and iDXA® before and after a 12-week exercise intervention…
Descriptors: Body Composition, Body Weight, Body Height, Exercise
Tyo, Brian M.; Nicks, Clayton – Measurement in Physical Education and Exercise Science, 2020
The purpose was to determine the effect of 30-minutes of moderate intensity (45-55% of heart rate reserve) on post-exercise (PE) body composition (BC) measurements. Pre-exercise (PreE) BC measurements were taken using air displacement plethysmography (ADP) and bioelectrical impedance analysis including lower-body (LBIA), whole-body (WBIA), and…
Descriptors: Body Composition, Body Weight, Body Height, Human Body
Bridge, Aaron D.; Brown, Joseph; Snider, Hayden; Rowan, Shannon N.; Skelly, Lauren E.; Josse, Andrea R. – Measurement in Physical Education and Exercise Science, 2021
Body composition (BC) is a valuable indicator of health and performance. Air-displacement plethysmography (ADP) is a popular, efficient, and reliable method for assessing BC. A-mode ultrasonography (AUS) is another method, and its affordability, mobility, and practicality make it a plausible device for industry and health professionals. This study…
Descriptors: Body Composition, Body Weight, Body Height, Exercise Physiology
Gerrard-Longworth, Simon; Preece, Stephen J.; Clarke-Cornwell, Alexandra M.; Goulermas, Yannis – Measurement in Physical Education and Exercise Science, 2020
Previous activity classification studies have typically been performed on normal weight individuals. Therefore, it is unclear whether a generic classification algorithm could be developed that would perform consistently across individuals who fall within different BMI categories. Acceleration data were collected from the hip and ankle joints of 50…
Descriptors: Classification, Body Weight, Body Height, Body Composition
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to…
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents
Sung, Hoyong; Collier, David N.; DuBose, Katrina D.; Kemble, C. David; Mahar, Matthew T. – Measurement in Physical Education and Exercise Science, 2018
To examine the reliability and validity of 1-mile walk tests for estimation of aerobic fitness (VO[subscript 2max]) in 10- to 13-year-old children and to cross-validate previously published equations. Participants (n = 61) walked 1-mile on two different days. Self-reported physical activity, demographic variables, and aerobic fitness were used in…
Descriptors: Test Construction, Physical Fitness, Test Validity, Test Reliability
Morris, Cody E.; Owens, Scott G.; Waddell, Dwight E.; Bass, Martha A.; Bentley, John P.; Loftin, Mark – Measurement in Physical Education and Exercise Science, 2014
An equation published by Loftin, Waddell, Robinson, and Owens (2010) was cross-validated using ten normal-weight walkers, ten overweight walkers, and ten distance runners. Energy expenditure was measured at preferred walking (normal-weight walker and overweight walkers) or running pace (distance runners) for 5 min and corrected to a mile. Energy…
Descriptors: Equations (Mathematics), Physical Activities, Prediction, Energy
