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Direct linkIn-Whi Hwang; Soo-Ji Hwang; Jun-Hao Shen; Jisu Kim; Jung-Min Lee – Measurement in Physical Education and Exercise Science, 2025
This study examined the impact of Catch-Up Sleep Ratio (CSR) on health outcomes in Korean adults. Adjusted for age and gender, 2,484 participants were categorized into three groups: Weekday (CSR <1.0), Average (1.0 = CSR < 1.5), and Weekend (1.5 = CSR). Weekday participants were less likely to meet WHO's moderate physical activity guidelines…
Descriptors: Foreign Countries, Sleep, Adults, Age Differences
Tanaka, Rumi; Yakushiji, Kanako; Tanaka, Satomi; Tsubaki, Michihiro; Fujita, Kimie – Measurement in Physical Education and Exercise Science, 2023
This study aimed to review the validity and/or reliability of light-intensity physical activity (LPA) questionnaires and identify the most suitable questionnaires for measurement of LPA in adults. Following the PRISMA-P 2020 guidelines, we searched MEDLINE, PsycINFO, CINAHL, Scopus, Embase, and MedNar. Only studies that targeted adults [greater…
Descriptors: Test Validity, Test Reliability, Physical Activity Level, Adults
Isabella Toledo Caetano; Valter Paulo Neves Miranda; Fernanda Rocha de Faria; Cheryl Anne Howe; Paulo Roberto dos Santos Amorim – Measurement in Physical Education and Exercise Science, 2024
Latent Class Analysis (LCA) is a statistical method that can help researchers interested in better understanding the movement behaviors (MB) of children, based on the analysis of the level of physical activity (PA) and sedentary time (ST). This study aimed to evaluate and compare two models LCA (one for the accelerometer and one for the 24-hour…
Descriptors: Motion, Child Behavior, Multivariate Analysis, Measurement Techniques
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
Coyle-Asbil, Hannah J.; Ma, David W. L.; Vallis, Lori Ann – Measurement in Physical Education and Exercise Science, 2022
This study explored (1) the effect of applying an autocalibration algorithm on accelerometer data analyzed using different signal processing techniques and (2) how these techniques changed the signal composition. Using a dataset of preschoolers (n = 137; 4.31 ± 0.87 years; Actigraph accelerometers (100 Hz) on right hip 24 hours/7 days) the vector…
Descriptors: Preschool Children, Motion, Physical Activities, Sleep
Castan, Alex; Opisso, Eloy; Chamarro, Andrés; Ginis, Kathleen A. Martin; Saurí, Joan – Measurement in Physical Education and Exercise Science, 2023
No Spanish-language tool exists to assess physical activity in people with spinal cord injuries. This work aimed to provide a valid Spanish version of the Physical Activity Recall Assessment for People with Spinal Cord Injury (PARA-SCI). It was conducted in three phases. First, translation and cross-cultural adaptation. Second, a reliability…
Descriptors: Spanish, Translation, Physical Activity Level, Neurological Impairments
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
Karin A. Pfeiffer; Kimberly A. Clevenger; Aaron P. Wood; Jennifer Zink; Amanda Sharfman; Meher Din – Measurement in Physical Education and Exercise Science, 2025
In 2011, the National Collaborative on Childhood Obesity Research established a Measures Registry (updated in 2020) for four key variables associated with childhood obesity. We analyzed the individual physical activity behaviors portion of the Measures Registry to highlight strengths and gaps in the reliability and validity literature for…
Descriptors: Physical Activity Level, Test Validity, Test Reliability, Children
Kim, Heontae; Kang, Minsoo – Measurement in Physical Education and Exercise Science, 2021
The purpose of this study is to identify the effect of a tailored domain-specific intervention using contextual information about sedentary behavior to reduce sedentary time. A total of 40 participants (i.e., general adults) were randomly assigned to three groups (i.e., tailored domain-specific intervention, standard intervention and control).…
Descriptors: Intervention, Context Effect, Life Style, Physical Activity Level
Kuzik, Nicholas; Naylor, Patti-Jean; Spence, John C.; Carson, Valerie – Measurement in Physical Education and Exercise Science, 2021
This study examined the associations of parental movement behaviors (MBs; sleep, stationary time, light-intensity physical activity [LPA], and moderate- to vigorous-intensity physical activity [MVPA]) and parent-child proximity with preschool-aged children's MBs. Parent-child MBs and proximity were assessed with Bluetooth-enabled accelerometers.…
Descriptors: Parent Child Relationship, Proximity, Physical Activity Level, Preschool Children
DeHondt, Benjamin G.; Madi, Samar A.; Drignei, Dorin; Buchan, Duncan S.; Brown, Elise C. – Measurement in Physical Education and Exercise Science, 2023
Identification of cardiometabolic risk (CMR) in U.S. younger population by assessing muscular strength via handgrip (HG) dynamometry may aid in prevention efforts. Currently, no nationally representative HG cut-points are available for identifying increased CMR in U.S. adolescents or young adults. In this study, we propose normalized grip strength…
Descriptors: Muscular Strength, Adolescents, Young Adults, Screening Tests
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
Wang, Jerred Junqi; Zhang, Shuqi; Zhang, James J. – Measurement in Physical Education and Exercise Science, 2019
This study examined the moderating effects of gender and life cycle characteristics in the relationship between desired self-image and sport participation behavior. Multigroup comparisons revealed that the moderating effects of gender and life cycle were most salient in groups with the interaction effect. Specifically, the group difference between…
Descriptors: Gender Differences, Athletics, Participation, Self Concept
Fröberg, Andreas; Berg, Christina; Larsson, Christel; Boldemann, Cecilia; Raustorp, Anders – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to investigate how combinations of different epoch durations and cut-points affect the estimations of sedentary time and physical activity in adolescents. Accelerometer data from 101 adolescents were derived and 30 combinations were used to estimate sedentary time, light, moderate, vigorous, and combined…
Descriptors: Physical Activity Level, Life Style, Measurement Equipment, Foreign Countries
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