Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 18 |
Descriptor
Body Composition | 18 |
Exercise Physiology | 12 |
Exercise | 9 |
Body Height | 7 |
Body Weight | 7 |
Measurement Techniques | 7 |
Physical Activities | 7 |
Adults | 6 |
Metabolism | 6 |
Physical Fitness | 6 |
Gender Differences | 5 |
More ▼ |
Source
Measurement in Physical… | 18 |
Author
Publication Type
Journal Articles | 18 |
Reports - Research | 15 |
Reports - Evaluative | 3 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Canada | 1 |
Greece | 1 |
Illinois | 1 |
Kentucky (Lexington) | 1 |
Mississippi | 1 |
Texas | 1 |
United Kingdom (England) | 1 |
Utah | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Matthew T. Mahar; Hoyong Sung – Measurement in Physical Education and Exercise Science, 2025
Field-based tests of aerobic fitness that can be administered quickly and do not require maximal effort are desirable. The purpose was to develop and validate quarter-mile walk tests for 10--13-year-olds. Participants (N = 59) walked one mile on two different days. Walk times, heart rates, body mass, physical activity, and aerobic fitness were…
Descriptors: Physical Fitness, Test Construction, Exercise, Early Adolescents
Mason, 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
Pacewicz, Christine E.; Hill, Christopher R.; Karlinsky, April; Samendinger, Stephen – Measurement in Physical Education and Exercise Science, 2023
Social physique anxiety is commonly examined in exercise science to understand individuals' physical activity motivation and behavior. Although a 12-item and 9-item version of the Social Physique Anxiety Scale exists, a 7-item version has become a popular tool to measure this construct despite the need to further examine its measurement…
Descriptors: Anxiety, Self Concept, Human Body, Physical Activity Level
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
Nelson, Megan C.; Taylor, Katie; Vella, Chantal A. – Measurement in Physical Education and Exercise Science, 2019
The aim of this study was to investigate differences between estimates of sedentary behavior and physical activity (PA) from the International Physical Activity Questionnaire (IPAQ) and accelerometry in undergraduate students. 91 students participated in the study. Sedentary behavior and PA were objectively measured by an accelerometer for 7 days…
Descriptors: Body Composition, Correlation, Exercise, Physical Activities
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
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
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
Amireault, Steve; Godin, Gaston – Measurement in Physical Education and Exercise Science, 2014
The purpose of this study was to provide three construct validity evidence for using fitness center attendance electronic records to objectively assess the frequency of leisure-time physical activity among adults. One hundred members of a fitness center (45 women and 55 men; aged 18 to 64 years) completed a self-report leisure-time physical…
Descriptors: Physical Fitness, Adults, Physical Activity Level, Leisure Time
Parastatidou, Irini S.; Doganis, Georgios; Theodorakis, Yannis; Vlachopoulos, Symeon P. – Measurement in Physical Education and Exercise Science, 2012
The purpose of the researchers in the study was to psychometrically evaluate Passion Scale scores (Vallerand et al., 2003) in exercise. Self-report data were collected from two samples of Greek exercise participants. Sample 1 (n = 217) provided data on the Passion Scale and the self-determination theory variables of perceived autonomy support by…
Descriptors: Measures (Individuals), Validity, Exercise, Psychological Patterns
George, James D.; Paul, Samantha L.; Hyde, Annette; Bradshaw, Danielle I.; Vehrs, Pat R.; Hager, Ronald L.; Yanowitz, Frank G. – Measurement in Physical Education and Exercise Science, 2009
This study sought to develop a regression model to predict maximal oxygen uptake (VO[subscript 2max]) based on submaximal treadmill exercise (EX) and non-exercise (N-EX) data involving 116 participants, ages 18-65 years. The EX data included the participants' self-selected treadmill speed (at a level grade) when exercise heart rate first reached…
Descriptors: Metabolism, Body Composition, Physical Activities, Physical Activity Level
Nielson, David E.; George, James D.; Vehrs, Pat R.; Hager, Ron L.; Webb, Carrie V. – Measurement in Physical Education and Exercise Science, 2010
The purpose of this study was to develop a multiple linear regression model to predict treadmill VO[subscript 2max] scores using both exercise and non-exercise data. One hundred five college-aged participants (53 male, 52 female) successfully completed a submaximal cycle ergometer test and a maximal graded exercise test on a motorized treadmill.…
Descriptors: Metabolism, Body Composition, Physical Activities, Predictor Variables
Previous Page | Next Page »
Pages: 1 | 2