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Summer Davis, Xihe Zhu, and Justin Haegele

shows that as students move to a higher grade, they are less likely to meet the criteria to be in the healthy fitness zone (HFZ; Zhu, Haegele, Shao, & Davis, 2019 ), and some high school students view fitness testing as a negative factor in deciding whether to enroll in elective physical education

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Grace Wei, Jeffrey Farooq, Leslie Castelo-soccio, and Rahul Mhaskar

representative sample of US public and private high school students in grades 9 through 12. The YRBS employs a 3-stage cluster sample design, consisting of counties, schools, and classes, with surveys conducted in February to May every odd-numbered year. Self-administered questionnaires are anonymously and

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Kevin Mercier and Stephen Silverman

The purpose of this study was to investigate the attitudes of high school students toward fitness testing. An instrument containing 18 items and four factors measuring student’s attitudes toward fitness testing: cognitive, affect-enjoyment, affect-feelings, and affect-teacher was completed by 524 boys and 675 girls (N = 1199). MANOVA indicated significant differences among the dependent variables for grade and gender. A stepwise discriminant function analysis (DFA) indicated affect-feelings then affect-enjoyment as variables that predicted these differences. Follow-up tests indicated that gender, and not grade, was the cause of the significant affect-feelings differences. MANOVA for fitness test types and the follow-up DFA indicated that students who completed the FitnessGram test had significantly higher cognitive attitudes than those who completed the President’s Challenge. The results suggest that student gender and the type of fitness test impact and lead to differences in attitudes.

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Kent A. Lorenz, Hans van der Mars, Jaimie McMullen, Jason Norris, and Julie Jahn

about behavior change at the population level (e.g., high school students). “The BEM links behavioral science to basic biological sciences, as foundations for behavior and learning, with an emphasis on ecological principles of selection by environmental consequences at individual and group

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Lauren N. Miutz, Carolyn A. Emery, Amanda M. Black, Matthew J. Jordan, Jonathan D. Smirl, and Kathryn J. Schneider

and physical exertion. In addition, Snedden et al ( 16 ) stated males reported higher total symptom scores and symptom severity scores (SSS) than females, at baseline, in a sample of high school student athletes. Furthermore, students with a history of concussion reported higher total symptom scores

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Camille Sabourin, Stéphanie Turgeon, Laura Martin, Scott Rathwell, Mark Bruner, John Cairney, and Martin Camiré

activity involvement, and psychological distress through a latent class analysis (LCA) with a sample of Canadian high school student-athletes. In consideration of the mixed findings in the literature as it relates to the overscheduling hypothesis, we hypothesized that participants with a wider breadth of

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Jessica Murphy, Karen A. Patte, Philip Sullivan, and Scott T. Leatherdale

health, large population-level research using modern data is needed. As such, the objective of this study is to explore the association between sport participation and symptoms of depression and anxiety in a large cohort of Canadian high school students. This association will be determined after

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Marcus V.V. Lopes, Bruno G.G. da Costa, Luis E.A. Malheiros, Rafael M. Costa, Ana C.C. Souza, Inacio Crochemore-Silva, and Kelly S. Silva

protocols for measuring movement behaviors, and the need to understand correlates of accelerometer compliance to prevent underrepresentation of specific subgroups, this study of high school students aimed to: (a) compare accelerometer wear time and compliance with wear time criteria between two data

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Bridgette E. Wilde, Charles B. Corbin, and Guy C. Le Masurier

The purpose of this study was to examine the pedometer-measured physical activity levels of high school students (Grades 9–12). Comparisons were made between sexes, among grades, among groups based on level of participation in sport and physical education, and among groups based on levels of self-reported physical activity (based on questions from the National Youth Risk Behavior Surveillance System). Participants wore sealed pedometers for 4 consecutive school days. Results indicated no differences among days of monitoring but did show significant differences in mean steps per day between sexes, among grades, and among activity levels. Males took more steps per day than females did, and 10th graders took more steps than 12th graders did. Teens involved in sport and physical education took more steps than did those not involved. Teens who reported meeting both moderate and vigorous activity recommendations were most active, followed by teens meeting recommendations for moderate activity.

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John R. Sirard and Megan E. Slater


Accelerometer use in physical activity research has become increasingly popular but is prone to problems with missing data, which complicate the data reduction and analysis process. The purpose of this study was to determine the effect of hypothesized compliance strategies on improving compliance with wearing a physical activity accelerometer in high school students.


Each of four local high schools was assigned to one of four compliance strategies: (1) receiving three phone calls, (2) completing a daily journal, (3) compensation contingent on number of complete (≥ 10 hours) days of data, and (4) control condition. Participants wore ActiGraph accelerometers for seven days to determine compliance and physical activity.


The contingent group had the highest level of compliance with 96% of the participants acquiring at least four of seven complete days of data. After controlling for grade level, school level percent minority students, and school level socioeconomic status (SES), the contingent group’s compliance remained significantly higher (P = .04) than the journal (85%), phone (72%), and control (70%) participants.


The contingent compliance strategy improved the amount of time the students wore the monitor each day and, thus, the total number of days with ≥ 10 hours of data.