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Bailey, Bruce W.; LeCheminant, Gabrielle; Hope, Timothy; Bell, Mathew; Tucker, Larry A. – Measurement in Physical Education and Exercise Science, 2018
The study compared the agreement, internal consistency, and measurement stability of the GE iDXA, BOD POD, and InBody 720. Body composition of 43 men and 37 women (31.4 ± 10.7 years; 90% Caucasian and 10% other) was assessed in triplicate using each method over two different days. Mean percent body fat (% BF) of the participants was different for…
Descriptors: Body Composition, Measurement Equipment, Reliability, Comparative Analysis
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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
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McConnell-Nzunga, J.; Naylor, P. J.; Macdonald, H.; Rhodes, R. E.; Hofer, S. M.; McKay, H. – Measurement in Physical Education and Exercise Science, 2018
Body mass index is a common proxy for proportion of body fat. However, body mass index may not classify youth similarly across ages and ethnicities. We used sex- and ethnic-specific receiver operating characteristic curves to determine how obesity classifications compared between body mass index and dual energy x-ray absorptiometry-based body fat…
Descriptors: Classification, Obesity, Ethnicity, Body Composition
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Fröberg, Andreas; Berg, Christina; Larsson, Christel; Boldemann, Cecilia; Raustorp, Anders – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to investigate how combinations of different epoch durations and cut-points affect the estimations of sedentary time and physical activity in adolescents. Accelerometer data from 101 adolescents were derived and 30 combinations were used to estimate sedentary time, light, moderate, vigorous, and combined…
Descriptors: Physical Activity Level, Life Style, Measurement Equipment, Foreign Countries
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Lombard, Wayne; Reid, Sorrel; Pearson, Keagan; Lambert, Michael – Measurement in Physical Education and Exercise Science, 2017
The counter-movement jump is a consequence of maximal force, rate of force developed, and neuromuscular coordination. Thus, the counter-movement jump has been used to monitor various training adaptations. However, the smallest detectable difference of counter-movement jump metrics has yet to be established. The objective of the present study was…
Descriptors: Athletics, Psychomotor Skills, Biomechanics, Human Body
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Fernandez-Santos, Jorge R.; Gonzalez-Montesinos, Jose Luis; Ruiz, Jonatan R.; Jiménez-Pavón, David; Castro-Piñero, Jose – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to analyze the kinematic variables that determine the performance of the standing long jump in children 6- to 12-years-old. There were 121 healthy children (58 girls) recorded while they performed the standing long jump test. All kinematic variables showed a significant correlation with calculated jump distance and…
Descriptors: Children, Preadolescents, Mechanics (Physics), Motion
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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
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Varela Mato, Veronica; Yates, Thomas; Stensel, David; Biddle, Stuart; Clemes, Stacy A. – Measurement in Physical Education and Exercise Science, 2017
This study explored the validity of ActiGraph-determined sedentary time (<50 cpm, <100 cpm, <150 cpm, <200 cpm, <250 cpm) compared with the activPAL in a free-living sample of bus drivers. Twenty-eight participants were recruited between November 2013 and February 2014. Participants wore an activPAL3 and ActiGraph GT3X+ concurrently…
Descriptors: At Risk Persons, Bus Transportation, Leisure Time, Daily Living Skills
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Ullrich-French, Sarah; Cox, Anne E.; Cooper, Brittany Rhoades – Measurement in Physical Education and Exercise Science, 2016
Previous research has used cluster analysis to examine how social physique anxiety (SPA) combines with motivation in physical education. This study utilized a more advanced analytic approach, latent profile analysis (LPA), to identify profiles of SPA and motivation regulations. Students in grades 9-12 (N = 298) completed questionnaires at two time…
Descriptors: Anxiety, Human Body, Body Composition, Social Attitudes
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Ball, Stephen; Cowan, Celsi; Thyfault, John; LaFontaine, Tom – Measurement in Physical Education and Exercise Science, 2014
Skinfold prediction equations recommended by the American College of Sports Medicine underestimate body fat percentage. The purpose of this research was to validate an alternative equation for men created from dual energy x-ray absorptiometry. Two hundred ninety-seven males, aged 18-65, completed a skinfold assessment and dual energy x-ray…
Descriptors: Equations (Mathematics), Human Body, Body Composition, Diagnostic Tests
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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