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Catherine Elliot, Christin Lang, Serge Brand, Edith Holsboer-Trachsler, Uwe Pühse and Markus Gerber

This study examines how students who met the current recommendations for vigorous physical activity (VPA) of the American College of Sports Medicine (ACSM) and the Centers of Disease Control and Prevention (CDC) differ from peers who did not reach these standards with regard to self-reported burnout, before and after controlling for light physical activity and moderate physical activity. A sample of 144 vocational students (M age = 16.2 years, SD = 1.13, 98 males) completed the International Physical Activity Questionnaire, the Shirom-Melamed Burnout Measure, and the School Burnout Inventory. Bivariate correlations revealed that only VPA was associated with reduced burnout. Both the ACSM and CDC guidelines were useful to identify significant differences in burnout symptoms between students who met versus did not meet the standards. Health policy makers should develop strategies to integrate more VPA into the lives of adolescent students so as to reach a minimum of 60 min per week.

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Roman P. Pope, Karen J. Coleman, Eugenia C. Gonzalez, Felix Barron and Edward M. Heath

This study was designed to validate the System for Observing Fitness Instruction Time (SOFIT5) and a modified SOFIT scale (SOFIT6) for assessing activity levels in physical education (PE) classes. Participants were 56 third- to fifth-grade students from a predominantly (98%) Hispanic school. Inter-rater reliability, using intraclass correlations, for both SOFIT5 and SOFIT5 was r = .98. The correlation for the SOFIT5 with TriTrac was r = .60 (CI = .43–.734) and the correlation for the SOFIT6 with TriTrac was r = .68 (CI = .524–.804). A six-point SOFIT scale may be more sensitive to measuring variations in light and moderate physical activity during PE classes as compared to the standard five point SOFIT scale. This has important implications for using this observation system to estimate the effects of interventions for physical activity during PE classes.

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Melanie M. Adams and Diane L. Gill

Even with adequate levels of physical activity, sedentary behavior contributes to cardiovascular disease and type 2 diabetes. Reducing sedentary behavior through increased daily movements, not solely exercise, can reduce health risks; particularly for women who are inactive and overweight. This study examined an intervention to increase overweight women’s self-efficacy for reducing sedentary behavior. Volunteers (M age =58.5 yrs, M BMI =36) were waitlisted (n = 24) or enrolled in the intervention (n = 40), called On Our Feet, which combined face-to-face sessions and e-mail messages over 6 weeks. Physical activity and sedentary behavior were measured by accelerometer and self-report. A 4-item survey assessed self-efficacy. Process evaluations included participant ratings of intervention components and open-ended questions. Repeated-measures ANOVAs revealed no changes in accelerometer-determined physical activity or sedentary behavior, but a significant multivariate interaction was found for self-reported sitting and physical activity, F(3,60) = 3.65, p = .02. Intervention participants increased both light and moderate physical activity and both groups decreased sedentary behavior. Self-efficacy decreased for all at midpoint, but intervention recipients rebounded at post. A moderately strong relationship (r = .48, p = .01) between midpoint self-efficacy and reduced sedentary behavior was found. Participants rated the pedometer, intervention emails, and goal setting as effective and highly used. Open-ended responses pointed to barriers of required sitting and a need to match intervention components to women’s lives. Community-based interventions for reducing sedentary behavior have the potential to improve health. Ideas to enhance future interventions are discussed.

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Tina Smith, Sue Reeves, Lewis G. Halsey, Jörg Huber and Jin Luo

. 27 , 34 As the intensity of activity increases, for example by increasing the speed at which it is performed, the portion of higher frequency components contained in the signal increases. This indicates that light and moderate physical activity have frequencies mainly in the lower frequency range

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Quinn Malone, Steven Passmore and Michele Maiers

impact on an individual’s ability to engage in physical activity. The most important cut point in examining the health of a sample population is the threshold between light and moderate physical activity, as many government healthy living recommendations emphasize a certain amount of MVPA every week

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Alan K. Bourke, Espen A. F. Ihlen and Jorunn L. Helbostad

-set . Sensors (Switzerland), 17 ( 3 ), 559 . doi:10.3390/s17030559 10.3390/s17030559 Bourke , A.K. , Ihlen , E.A.F. , & Helbostad , J.L. ( 2019 ). Development of a gold-standard method for the identification of sedentary, light and moderate physical activities in older adults: Definitions for video

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Carla Elane Silva dos Santos, Sofia Wolker Manta, Guilherme Pereira Maximiano, Susana Cararo Confortin, Tânia Rosane Bertoldo Benedetti, Eleonora d’Orsi and Cassiano Ricardo Rech

more time in sedentary activities and have a lower level of light and moderate physical activity. These results are consistent with other studies 50 , 51 and may be explained by the fact that excess weight is associated with increased disability, which directly affects functional mobility, 52 and

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Phillip Post and Rebecca Palacios

significant Site × Test interaction ( p  = .268), main effect of Site ( p  = .631), or main effect of Test ( p  = .395). Figure 3 —Mean percentage time in sedentary, light, and moderate physical activity intensities during the 1-hr free-play period. Note . INT = intervention site; CON = control site. Light