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Direct linkTanaka, 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
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
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
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
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
Loudon, David; Granat, Malcolm H. – Measurement in Physical Education and Exercise Science, 2015
Visualization is commonly used in the interpretation of physical behavior (PB) data, either in conjunction with or as precursor to formal analysis. Effective representations of the data can enable the identification of patterns of behavior, and how they relate to the temporal context in a single day, or across multiple days. An understanding of…
Descriptors: Life Style, Physical Activity Level, Health Behavior, Visualization
Janssen, Xanne; Cliff, Dylan P. – Measurement in Physical Education and Exercise Science, 2015
The use of objective measures of sedentary behavior has increased over the past decade; however, as is the case for objectively measured physical activity, methodological decisions before and after data collection are likely to influence the outcomes. The aim of this article is to review the evidence on different methodological decisions made by…
Descriptors: Life Style, Physical Activity Level, Measurement Techniques, Measurement Equipment
Chastin, Sebastien F. M.; Winkler, Elisabeth A. H.; Eakin, Elizabeth G.; Gardiner, Paul A.; Dunstan, David W.; Owen, Neville; Healy, Genevieve N. – Measurement in Physical Education and Exercise Science, 2015
The aim of this study was to examine the sensitivity to change of measures of sedentary behavior derived from body worn sensors in different intervention designs. Results from two intervention studies: "Stand up for Your Health" (pre-post home-based study with older adults not in paid employment) and "Stand Up Comcare"…
Descriptors: Life Style, Health Behavior, Physical Activity Level, Measurement Equipment
Carson, Valerie; Hesketh, Kylie D.; Rhodes, Ryan E.; Rinaldi, Christina; Rodgers, Wendy; Spence, John C. – Measurement in Physical Education and Exercise Science, 2017
This study examined the psychometric properties of a questionnaire developed with the guidance of the socialization model of child behaviour to understand modifiable correlates of toddlers' physical activity and sedentary behaviour. Findings are based on 118 parents (33.7 ± 4.9 years; 86% female) of toddlers (19.3 ± 2.7 months; 48% female) from…
Descriptors: Questionnaires, Psychometrics, Correlation, Physical Activity Level
Kim, Youngdeok; Barry, Vaughn W.; Kang, Minsoo – Measurement in Physical Education and Exercise Science, 2015
This study examined (a) the validity of two accelerometers (ActiGraph GT3X [ActiGraph LLC, Pensacola, FL, USA] and activPAL [PAL Technologies Ltd., Glasgow, Scotland]) for the assessment of sedentary behavior; and (b) the variations in assessment accuracy by setting minimum sedentary bout durations against a proxy for direct observation using an…
Descriptors: Measurement Equipment, Life Style, Health Behavior, Accuracy
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