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Mohsen Saffari; Hung-Ching Wu; Ji-Kang Chen; Nadia Bevan; Jung-Sheng Chen; Hsin-Pao Chen; Mark D. Griffiths; Chung-Ying Lin – Measurement in Physical Education and Exercise Science, 2024
The present study aimed to validate the Chinese version of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS) among university students living in Hong Kong to assess weight and body image concerns. A convenience sample of 787 students (63.5% females; 24.5% overweight) were recruited online. The factor structure of the scale was…
Descriptors: Life Style, Physical Activity Level, College Students, Health Behavior
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Pfeiffer, Karin A.; Lisee, Caroline; Westgate, Bradford S.; Kalfsbeek, Cheyenne; Kuenze, Christopher; Bell, David; Cadmus-Bertram, Lisa; Montoye, Alexander H.K. – Measurement in Physical Education and Exercise Science, 2023
A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19-33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid…
Descriptors: Athletics, Physical Activity Level, Barriers, Measurement Equipment
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Edwardson, Charlotte L.; Maylor, Benjamin D.; Dawkins, Nathan P.; Plekhanova, Tatiana; Rowlands, Alex V. – Measurement in Physical Education and Exercise Science, 2022
The aim was to establish which postural and physical activity outcomes are comparable across different accelerometer brands worn on the thigh when processed using open-source methods. Twenty participants wore four accelerometers (Axivity, ActiGraph, activPAL, GENEActiv) for three free-living days. Postural and physical activity outputs (average…
Descriptors: Human Posture, Physical Activity Level, Measurement Equipment, Life Style
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Clevenger, Kimberly A.; Molesky, Monroe J.; Vusich, John; Montoye, Alexander H. K. – Measurement in Physical Education and Exercise Science, 2019
Despite proprietary algorithms to account for differences, output from activity trackers worn on different wrists may not be comparable because individuals vary in their reliance on each hand during free-living activities. Participants (n = 48) wore Fitbit Flex or Flex2 monitors on each wrist for three days. T tests, equivalence tests, and…
Descriptors: Measurement Equipment, Handedness, Physical Activity Level, Sleep
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Dlugonski, Deirdre; Wood, Aaron P.; DuBose, Katrina D.; Rider, Patrick; Schoemann, Alexander M. – Measurement in Physical Education and Exercise Science, 2019
Introduction: This study examined the concurrent validity and inter-pair reliability of the proximity detection function on Bluetooth-enabled accelerometers across manufacturer-specified ranges. If valid, this method could be used for objectively measuring shared physical activity participation. Method: Thirty-six dyads aged 21.6 (2.1) years wore…
Descriptors: Validity, Reliability, Measurement, Electronic Equipment
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Martin, Eric M.; True, Larissa; Pfeiffer, Karin A.; Siegel, Shannon R.; Branta, Crystal F.; Wisner, Dave; Haubenstricker, John; Seefeldt, Vern – Measurement in Physical Education and Exercise Science, 2021
Research tracking sport participation from youth to adulthood is relatively rare, as is research that tracks youth sport participation with regard to adult physical activity (PA) levels, especially in the United States. Aims of this study were: 1) To investigate the degree to which sport participation tracked across youth, adolescence, and early…
Descriptors: Athletics, Participation, Children, Adolescents
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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
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Murphy, Joseph J.; Murphy, Marie H.; MacDonncha, Ciaran; Murphy, Niamh; Nevill, Alan M.; Woods, Catherine B. – Measurement in Physical Education and Exercise Science, 2017
The purpose of this study was to compare the validity and reliability of three short physical activity self-report instruments to determine their potential for use with university student populations. The participants (N = 155; 44.5% male; 22.9 ± 5.13 years) wore an accelerometer for 9 consecutive days and completed a single-item measure, the a…
Descriptors: Physical Activities, Physical Activity Level, Validity, Reliability
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Overstreet, Brittany Star; Crouter, Scott E.; Butler, George A.; Springer, Cary M.; Bassett, David R. – Measurement in Physical Education and Exercise Science, 2016
The purpose of this article was to examine the validity of self-reported pedometer steps/day. Forty-seven participants were provided a New Lifestyles NL-2000 (NL-2000; Lees Summit, MO, USA) pedometer and a physical activity (PA) diary for 3 weeks, but not informed of the data-storing capabilities. For weeks 2 and 3, each participant was given a…
Descriptors: Physical Education, Physical Activities, Physical Activity Level, Measurement Equipment
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Meir, Gily; Hutchinson, Jasmin C.; Habeeb, Christine M.; Boiangin, Nataniel M.; Shaffer, Cory; Basevitch, Itay; Tenenbaum, Gershon – Measurement in Physical Education and Exercise Science, 2015
Two studies examined the trustworthiness of commonly used measurement scales for ratings of perceived exertion (RPE) and state attentional focus (SAF) during exercise. In Study 1, participants (N = 24, 14 female) performed a treadmill graded-exercise test. The order of scale presentation during the task was manipulated (i.e., RPE followed by SAF…
Descriptors: Attention, Physical Activity Level, Exercise, Measurement
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Grieser, Joshua D.; Gao, Yong; Ransdell, Lynda; Simonson, Shawn – Measurement in Physical Education and Exercise Science, 2012
The purpose of this study was to determine the intensity of Nintendo Wii Fit games using indirect calorimetry. Twenty-five college students completed Wii Fit activity sessions at two difficulty levels within aerobics, strength, and yoga categories. Resting metabolic rate and exercise oxygen uptake were measured, and metabolic equivalents were…
Descriptors: Video Games, Physical Activities, College Students, Metabolism
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Rhodes, Ryan E.; Matheson, Deborah Hunt; Mark, Rachel – Measurement in Physical Education and Exercise Science, 2010
The purpose of this study was to compare the reliability, variability, and predictive validity of two common scaling response formats (semantic differential, Likert-type) and two numbers of response options (5-point, 7-point) in the physical activity domain. Constructs of the theory of planned behavior were chosen in this analysis based on its…
Descriptors: Likert Scales, Semantic Differential, Comparative Analysis, Reliability