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Fahim A. Salim, Fasih Haider, Dees Postma, Robby van Delden, Dennis Reidsma, Saturnino Luz, and Bert-Jan van Beijnum

Automatic tagging of video recordings of sports matches and training sessions can be helpful to coaches and players and provide access to structured data at a scale that would be unfeasible if one were to rely on manual tagging. Recognition of different actions forms an essential part of sports video tagging. In this paper, the authors employ machine learning techniques to automatically recognize specific types of volleyball actions (i.e., underhand serve, overhead pass, serve, forearm pass, one hand pass, smash, and block which are manually annotated) during matches and training sessions (uncontrolled, in the wild data) based on motion data captured by inertial measurement unit sensors strapped on the wrists of eight female volleyball players. Analysis of the results suggests that all sensors in the inertial measurement unit (i.e., magnetometer, accelerometer, barometer, and gyroscope) contribute unique information in the classification of volleyball actions types. The authors demonstrate that while the accelerometer feature set provides better results than other sensors, overall (i.e., gyroscope, magnetometer, and barometer) feature fusion of the accelerometer, magnetometer, and gyroscope provides the bests results (unweighted average recall = 67.87%, unweighted average precision = 68.68%, and κ = .727), well above the chance level of 14.28%. Interestingly, it is also demonstrated that the dominant hand (unweighted average recall = 61.45%, unweighted average precision = 65.41%, and κ = .652) provides better results than the nondominant (unweighted average recall = 45.56%, unweighted average precision = 55.45, and κ = .553) hand. Apart from machine learning models, this paper also discusses a modular architecture for a system to automatically supplement video recording by detecting events of interests in volleyball matches and training sessions and to provide tailored and interactive multimodal feedback by utilizing an HTML5/JavaScript application. A proof of concept prototype developed based on this architecture is also described.

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Ryan D. Burns, Yang Bai, and Timothy A. Brusseau

Background: The purpose of this study was to examine the independent and joint associations between physical activity (PA) and sports participation on academic performance variables within a representative sample of children and adolescents. Methods: Data were analyzed from the combined 2017–2018 National Survey of Children’s Health. Household addresses were randomly selected within each US state. One household parent answered health and wellness questions pertaining to one randomly selected household child (N = 37,392; 48.1% female; 6- to 17-y old). Weighted logistic regression models were employed to examine the independent and joint associations between child PA frequency and sports participation with academic performance variables, adjusting for child- and family-level covariates. Results: Child PA frequency independently associated with 37% to 46% lower odds and child sports participation independently associated with 53% lower odds of reported difficulty concentrating, remembering, or making decisions (P < .001). For children who participated in sports, PA associated with 47% to 56% lower odds of ever repeating a grade level (P = .01). Conclusions: Frequency of weekly PA and sports participation independently and negatively associated with difficulty concentrating, remembering, and making decisions, whereas the negative association between PA and ever repeating a grade level differed by child sports participation status.

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Alessandra Buja, Andrea Rabensteiner, Milena Sperotto, Giulia Grotto, Chiara Bertoncello, Silvia Cocchio, Tatjana Baldovin, Paolo Contu, Chiara Lorini, and Vincenzo Baldo

Background: The importance of health literacy (HL) in health promotion is increasingly clear and acknowledged globally, especially when addressing noncommunicable diseases. This paper aimed to collect and summarize all current data from observational studies generating evidence of the association between HL and physical activity (PA) and to analyze intervention studies on the promotion of PA to ascertain whether HL moderates the efficacy of such intervention. Methods: A comprehensive systematic literature search of observational studies investigating the association between HL and PA was performed. Intervention studies on the promotion of PA that also measured the HL levels of participants and its effect on the outcome of the intervention were also identified. Results: Of the 22 studies included in this review, 18 found a significant positive association between high HL and high levels of PA. The only intervention study among them indicated that HL was not a significant moderator of the intervention’s effectiveness. Conclusion: HL can enable individuals to make deliberate choices about their PA and thus contribute to preventing many chronic noncommunicable diseases. That said, low levels of HL do not seem to influence the efficacy of health promotion interventions.

Open access

Steven J. Petruzzello and Allyson G. Box

The status of physical activity in higher education has changed dramatically over the past 100 years. In this paper, we aim to (a) provide a brief history of physical activity on campus; (b) describe how that activity has changed from a requirement to an elective; (c) illustrate how mental health (particularly stress, anxiety, and depression) has changed in college students over the past few decades; and (d) describe the relationships between physical activity and mental health, particularly in college students. The paper culminates with recommendations for how colleges and universities might facilitate better student mental health through physical activity. There is room to improve the physical activity and mental health of college students, realigning higher education with the promotion of mens sana in corpore sano.

Open access

Ryoko Kawakami, Yuko Gando, Kiminori Kato, Susumu S. Sawada, Haruki Momma, Motohiko Miyachi, I-Min Lee, Steven N. Blair, Minoru Tashiro, Chika Horikawa, Yasuhiro Matsubayashi, Takaho Yamada, Kazuya Fujihara, and Hirohito Sone

Background: To examine the association between muscular and performance fitness (MPF) and the incidence of glaucoma. Methods: A total of 27,051 glaucoma-free participants aged 20–87 years underwent physical fitness tests between April 2001 and March 2002. The MPF index was calculated using an age- and sex-specific summed z-score from grip strength, vertical jump, single-leg balance, forward bending, and whole-body reaction time. The participants were divided into quartiles according to the MPF index and each physical fitness test. Participants were followed up for the development of glaucoma, which was defined based on physician-diagnosed glaucoma at an annual health examination between April 2002 and March 2008. Hazard ratios for the incidence of glaucoma were estimated using Cox proportional hazards models. Results: During follow-up, 303 participants developed glaucoma. Compared with the lowest MPF index group, hazard ratio (95% confidence interval) of developing glaucoma was 0.64 (0.46–0.89) for the highest MPF index group (P for trend = .001). Vertical jump and whole-body reaction time were associated with incident glaucoma (P for trend = .01 and <.001, respectively). There were no associations between the other physical fitness tests and the incidence of glaucoma. Conclusion: Higher MPF is associated with lower incidence of glaucoma.

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Alanna Weisberg, Alexandre Monte Campelo, Tanzeel Bhaidani, and Larry Katz

Traditional physical activity tracking tools, such as self-report questionnaires, are inherently subjective and vulnerable to bias. Physical activity tracking technology, such as activity tracking wristbands, is becoming more reliable and readily available. As such, researchers are employing these objective measurement tools in both observational- and intervention-based studies. There remains a gap in the literature on how to properly select activity tracking wristbands for research, specifically for the older adult population. This paper outlines considerations for choosing the most appropriate wrist-worn wearable device for use in research with older adults. Device features, outcome measures, population, and methodological considerations are explored.

Open access

Nicole K. Nathan, Rachel L. Sutherland, Kirsty Hope, Nicole J. McCarthy, Matthew Pettett, Ben Elton, Rebecca Jackson, Stewart G. Trost, Christophe Lecathelinais, Kathryn Reilly, John H. Wiggers, Alix Hall, Karen Gillham, Vanessa Herrmann, and Luke Wolfenden

Aim: To assess the impact of a multistrategy intervention designed to improve teachers’ implementation of a school physical activity (PA) policy on student PA levels. Methods: A cluster-randomized controlled trial was conducted in 12 elementary schools. Policy implementation required schools to deliver 150 minutes of organized PA for students each week via physical education, sport, or class-based activities such as energizers. Schools received implementation support designed using the theoretical domains framework to help them implement the current policy. Results: A total of 1,502 children in kindergarten to grade 6 participated. At follow-up compared with control, students attending intervention schools had, measured via accelerometer, significantly greater increases in school day counts per minute (97.5; 95% confidence interval [CI], 64.5 to 130.4; P < .001) and moderate to vigorous physical activity (MVPA) (3.0; 95% CI, 2.2–3.8, P < .001) and a greater decrease in sedentary time (−2.1; 95% CI, −3.9 to −0.4, P = .02) per school day. Teachers in intervention schools delivered significantly more minutes (36.6 min) of PA to their students at follow-up (95% CI, 2.7–70.5, P = .04). Conclusions: Supporting teachers to implement a PA policy improves student PA. Additional strategies may be needed to support teachers to implement activities that result in larger gains in student MVPA.