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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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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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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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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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Schembre, Susan M.; Riebe, Deborah A. – Measurement in Physical Education and Exercise Science, 2011
Non-exercise equations developed from self-reported physical activity can estimate maximal oxygen uptake (VO[subscript 2]max) as well as sub-maximal exercise testing. The International Physical Activity Questionnaire is the most widely used and validated self-report measure of physical activity. This study aimed to develop and test a VO[subscript…
Descriptors: Physical Activities, Testing, Physical Fitness, Questionnaires
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Levy, Susan S.; Readdy, R. Tucker – Measurement in Physical Education and Exercise Science, 2009
The purpose of this study was to examine the test-retest reliability of the last 7-day long form International Physical Activity Questionnaire (Craig et al., 2003) and to examine the construct validity for the measure in a research setting. Participants were 151 male (n = 52) and female (n = 99) university students (M age = 24.15 years, SD = 5.01)…
Descriptors: Physical Activities, Leisure Time, Transportation, Physical Activity Level
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Behren, Timothy K.; Hawkins, Scott B.; Dinger, Mary K. – Measurement in Physical Education and Exercise Science, 2005
The purposes of this study were to examine the relationship between steps[middle dot]day[superscript -1] and time spent in physical activity, and to identify the number of steps[middle dot]day[superscript -1] that corresponded to 30 min or more of moderate physical activity (MPA). Thirty-six college students (age: 23.3 [plus or minus] 3.1 years;…
Descriptors: College Students, Body Composition, Physical Activities, Physical Activity Level