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Direct linkJustin Kompf; Ryan Rhodes – Measurement in Physical Education and Exercise Science, 2024
The measurement of resistance training (RT) is often based on adaptations of aerobic physical activity measures which may not contain the elements necessary to assess RT. The purpose of this systematic review was to examine what measures are used to assess RT and appraise their composition. Specifically, the inclusion of frequency, duration,…
Descriptors: Physical Fitness, Training, Muscular Strength, Evaluation Methods
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
Bianchim, Mayara S.; McNarry, Melitta A.; Evans, Rachel; Thia, Lena; Barker, Alan R.; Williams, Craig A.; Denford, Sarah; Mackintosh, Kelly A – Measurement in Physical Education and Exercise Science, 2023
Commonly used cut-points may misclassify physical activity (PA) in people with cystic fibrosis (CF). The aim of this study was to develop and cross-validate condition-specific cut-points in children and adolescents with CF. Thirty-five children and adolescents with CF (15 girls; 11.6 ± 2.8 years) and 28 controls (16 girls; 12.2 ± 2.7 years), had…
Descriptors: Genetic Disorders, Children, Early Adolescents, Physical Activity Level
Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2025
Physical activity (PA) promotion is an ideal intervention target for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective…
Descriptors: Physical Activity Level, Intervention, Program Effectiveness, Adults
Schmidt, Michael D.; Rathbun, Stephen L.; Chu, Zhixuan; Boudreaux, Benjamin D.; Hahn, Lindsay; Novotny, Eric; Johnsen, Kyle; Ahn, Sun Joo – Measurement in Physical Education and Exercise Science, 2023
Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to…
Descriptors: Measurement Equipment, Physical Activity Level, Elementary School Students, After School Programs
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
Kurth, Jordan D.; Klenosky, David B. – Measurement in Physical Education and Exercise Science, 2021
The International Physical Activity Questionnaire-Short Form (IPAQ-SF) is a globally-used self-report measure of physical activity (PA). Validity evidence exists; none has evaluated the IPAQ-SF with reduced recall time. This study evaluates absolute and relative agreement for PA at all intensities, and relative to recommended guideline…
Descriptors: Test Validity, Questionnaires, Measurement Techniques, Physical Activity Level
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
Courtney, J. B.; Nuss, K.; Lyden, K.; Harrall, K. K.; Glueck, D. H.; Villalobos, A.; Hamman, R. F.; Hebert, J. R.; Hurley, T. G.; Leiferman, J.; Li, K.; Alaimo, K.; Litt, J. S. – Measurement in Physical Education and Exercise Science, 2021
The purpose of this study was to compare activPAL algorithm-estimated values for time in bed (TIB), wake time (WT) and bedtime (BT) against self-report and an algorithm developed by van der Berg and colleagues. Secondary analyses of baseline data from the Community Activity for Prevention Study (CAPs) were used in which adults [greater than or…
Descriptors: Computer Software, Measurement Techniques, Mathematics, Adults
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
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
Kastelic, Kaja; Šarabon, Nejc – Measurement in Physical Education and Exercise Science, 2019
Self-reports are commonly used tools for obtaining sedentary behaviors. The aim of our study was to assess agreement between two self-reports of sedentary time and a gold standard sedentary time objective monitor. A worksite sample (n = 42) completed the Slovenian version of the Global Physical Activity Questionnaire (GPAQ), the Slovenian version…
Descriptors: Physical Activity Level, Measurement Techniques, Measurement Equipment, Foreign Countries
Sansano-Nadal, Oriol; Wilson, Jason J.; Martín-Borràs, Carme; Brønd, Jan Christian; Skjødt, Mathias; Caserotti, Paolo; Roqué I. Figuls, Marta; Blackburn, Nicole E.; Klenk, Jochen; Rothenbacher, Dietrich; Guerra-Balic, Myriam; Font-Farré, Manel; Denkinger, Michael; Coll-Planas, Laura; Deidda, Manuela; McIntosh, Emma; Giné-Garriga, Maria; Tully, Mark A. – Measurement in Physical Education and Exercise Science, 2022
The main aim of this study was to assess the criterion validity of the Sedentary Behavior Questionnaire (SBQ) to measure SB in community-dwelling older adults using thigh-measured accelerometry as the criterion method. 801 participants (75.6 ± 6.1 years old, 57.6% females) provided valid thigh-based accelerometer data (activPAL/Axivity) and…
Descriptors: Physical Activity Level, Life Style, Older Adults, Foreign Countries
McCullough, Aston K.; Keller, Bryan S.; Qiu, Shumin; Garber, Carol Ewing – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to estimate distances from accelerometer-derived Bluetooth signals as a measure of interpersonal spatial proximity. Accelerometer-derived proximity data were collected indoors and outdoors over a 10m range to calibrate simulation models. Proximity data were simulated over 20m (indoor) and 50m (outdoor) ranges.…
Descriptors: Measurement Equipment, Proximity, Simulation, Prediction
Montoye, Alexander H. K.; Conger, Scott A.; Connolly, Christopher P.; Imboden, Mary T.; Nelson, M. Benjamin; Bock, Josh M.; Kaminsky, Leonard A. – Measurement in Physical Education and Exercise Science, 2017
This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…
Descriptors: Validity, Electronic Equipment, Prediction, Physical Activity Level
