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Showing 1 to 15 of 38 results Save | Export
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Qin, Xiong; Zhu, Weimo; Zhu, Lin; Liu, Jingxin; Liao, Jing – Measurement in Physical Education and Exercise Science, 2023
To convert accelerometer-based devices onto the same scale, a platform called Monitor-Independent Movement Summary (MIMS) was created and used in national studies. Yet, its physical activity (PA) intensity cutoff scores have not been established, making it less useful. This study was to link MIMS with the ActiGraph Count, known as "the…
Descriptors: Measurement Equipment, Physical Activity Level, Adolescents, Preadolescents
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Pellerine, Liam P.; Petterson, Jennifer L.; Shivgulam, Madeline E.; Johansson, Peter J.; Hettiarachchi, Pasan; Kimmerly, Derek S.; Frayne, Ryan J.; O'Brien, Myles W. – Measurement in Physical Education and Exercise Science, 2023
Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and…
Descriptors: Physical Activity Level, Predictor Variables, Physical Activities, Young Adults
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Karaca, Ayda; Demirci, Necip; Yilmaz, Vedat; Hazir Aytar, Sinem; Can, Sema; Ünver, Evrim – Measurement in Physical Education and Exercise Science, 2022
This study aimed to determine the validity of the ActiGraph wGT3X-BT for step counts (SC) at five different body locations in laboratory settings. A total of 29 male adults participated in this study. The participants walked or ran for different speeds on the treadmill while wearing ActiGraph wGT3X-BT on their right wrist (RW), left wrist (LW),…
Descriptors: Measurement Equipment, Validity, Physical Activity Level, Males
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Peter Elsborg; Paulina S. Melby; Mette Kurtzhals; Helene Kirkegaard; Johannes Carl; Steffen Rask; Peter Bentsen; Glen Nielsen – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and test MyPL, a questionnaire that measures self-reported physical literacy (PL) among children and adolescents. First, the item pool was developed and adapted, and face validity was tested with cognitive interviewing. Then, factor structures were identified through multidimensional scaling and exploratory factor…
Descriptors: Questionnaires, Children, Early Adolescents, Models
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Myers, Nicholas D.; Lee, Seungmin; Bateman, André G.; Wekesser, Meredith; Prilleltensky, Isaac; McMahon, Adam; Brincks, Ahnalee M. – Measurement in Physical Education and Exercise Science, 2023
The objective of this study was to provide initial validity evidence for responses to the newly developed Well-Being Actions Self-Efficacy (WBASE) scale from adults with obesity under an exploratory latent variable approach. Longitudinal data (N[subscript baseline] = 667 and N[subscript 30 days post-baseline] = 550) from the Well-Being and…
Descriptors: Test Validity, Self Efficacy, Adults, Obesity
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Conway, Michelle R.; Marshall, Mallory R.; Schlaff, Rebecca A.; Talge, Nicole M.; Pfeiffer, Karin A.; Pivarnik, James M. – Measurement in Physical Education and Exercise Science, 2020
To evaluate the validity of the Pregnancy Physical Activity (PA) Questionnaire (PPAQ) for long-term PA recall. Forty-eight women completed the PPAQ at 21, 32 weeks gestation, and 12 weeks postpartum. These women were emailed three separate PPAQs between two months and eight years after originally completing the questionnaires to recall their PA…
Descriptors: Test Validity, Questionnaires, Pregnancy, Physical Activity Level
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Sacko, Ryan S.; Brazendale, Keith; Brian, Ali; McIver, Kerry; Nesbitt, Danielle; Pfeifer, Craig; Stodden, David F. – Measurement in Physical Education and Exercise Science, 2019
This study compared the energy expenditure (EE) levels during object projection skill performance (OPSP) as assessed by indirect calorimetry and accelerometry. Thirty-four adults (female n = 18) aged 18-30 (23.5 ± 2.5 years) performed three, 9-min sessions of kicking, over-arm throwing, and striking performed at 6-, 12-, and 30-sec intervals. EE…
Descriptors: Young Adults, Physical Activities, Measurement Techniques, Physical Activity Level
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O'Brien, Myles W.; Johns, Jarrett A.; Fowles, Jonathon R.; Kimmerly, Derek S. – Measurement in Physical Education and Exercise Science, 2020
The activPAL is a widely-used measure of sedentary time but few studies have evaluated its ability to estimate physical activity intensity. This study determined the accuracy of the algorithm used by the activPAL to predict metabolic equivalents (METs) from cadence and a curvilinear cadence-METs equation individualized for height. Thirty-six…
Descriptors: Validity, Physical Activity Level, Accuracy, Metabolism
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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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Clevenger, Kimberly Ann; Sinha, Gaurav; Howe, Cheryl A. – Measurement in Physical Education and Exercise Science, 2019
Several geospatial approaches have been used to characterize physical activity during recess using global positioning system (GPS) data. GPS and accelerometer data from 23 children collected during recess were analyzed using four previously used approaches: (1) dot map, (2) fishnet grid, (3) hot spot analysis, which determines clusters of high/low…
Descriptors: Elementary School Students, Physical Activity Level, Physical Activities, Geographic Information Systems
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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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Bödeker, Malte; Bucksch, Jens; Wallmann-Sperlich, Birgit – Measurement in Physical Education and Exercise Science, 2018
The Neighborhood Physical Activity Questionnaire allows to assess physical activity within and outside the neighborhood. Study objectives were to examine the criterion-related validity and health/functioning associations of Neighborhood Physical Activity Questionnaire-derived physical activity in German older adults. A total of 107 adults aged…
Descriptors: Older Adults, Physical Activities, Neighborhoods, Correlation
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Clevenger, Kimberly A.; Moore, Rebecca W.; Suton, Darijan; Montoye, Alexander H.K.; Trost, Stewart G.; Pfeiffer, Karin A. – Measurement in Physical Education and Exercise Science, 2018
This study examined if accelerometer-based assessments of physical activity were responsive to changes in physical activity level commensurate with performing structured versus unstructured activity in youth. Youth (6-16 years; N = 206) participated in a simulated after-school program that included structured and unstructured games on four…
Descriptors: Physical Activities, Physical Activity Level, 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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Montoye, Alexander H. K.; Mitrzyk, Joe R.; Molesky, Monroe J. – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to determine the accuracy of the Fitbit Charge HR and Hexoskin smart shirt. Participants (n = 32, age: 23.5 ± 1.3 years) wore a Fitbit and Hexoskin while performing 14 activities in a laboratory and on a track (lying, sitting, standing, walking various speeds and inclines, jogging, and cycling). Steps, kcals,…
Descriptors: Measurement Equipment, Physical Activity Level, Measures (Individuals), Exercise Physiology
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