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.
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
Roman P. Kuster, Daniel Baumgartner, Maria Hagströmer and Wilhelmus J.A. Grooten
Background: Sedentary behavior (SB) is associated with several chronic diseases and office workers especially are at increased risk. SB is defined by a sitting or reclined body posture with an energy expenditure of ≤1.5 metabolic equivalents. However, current objective methods to measure SB are not consistent with its definition. There is no consensus on which sensor placement and type should be used. Aim: To compare the accuracy of newly developed artificial intelligence models for 15 sensor placements in combination with four signal types (accelerometer only/plus gyroscope and/or magnetometer) to detect posture and physical in-/activity during desk-based activities. Method: Signal features for the model development were extracted from sensor raw data of 30 office workers performing 10 desk-based tasks, each lasting 5 min. Direct observation (posture) and indirect calorimetry (in-/activity) served as the reference criteria. The best classification model for each sensor was identified and compared among the sensor placements, both using Friedman and post hoc Wilcoxon tests (p ≤ .05). Results: Posture was most accurately measured with a lower body sensor, while in-/activity was most accurately measured with an upper body or waist sensor. The inclusion of additional signal types improved the posture classification for some placements, while the acceleration signal already contained the relevant signal information for the in-/activity classification. Overall, the thigh accelerometer most accurately classified desk-based SB. Conclusion: This study favors, in line with previous work, the measurement of SB with a thigh-worn accelerometer and adds the information that this sensor is also accurate in measuring physical in-/activity while sitting and standing.
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.
Abby Haynes, Catherine Sherrington, Geraldine Wallbank, David Lester, Allison Tong, Dafna Merom, Chris Rissel and Anne Tiedemann
The Coaching for Healthy Ageing trial evaluated the impact on physical activity (PA) and falls based on a year-long intervention in which participants aged 60+ receive a home visit, regular health coaching by physiotherapists, and a free activity monitor. This interview study describes the participants’ experiences of the intervention and ideas for improvement. The authors sampled purposively for maximum variation in experiences. The data were analyzed thematically by two researchers. Most of the 32 participants reported that the intervention increased PA levels, embedded activities, and generated positivity about PA. They were motivated by quantified PA feedback, self-directed goals, and person-centered coaching. Social connectivity motivated some, but the intervention did not support this well. The intervention structure allowed participants to trial and embed activities. Autonomy and relatedness were emphasized and should be included in future program theory. The authors identified synergistic effects, likely “essential ingredients,” and potential areas for improving this and similar interventions.
Nicole McCarthy, Kirsty Hope, Rachel Sutherland, Elizabeth Campbell, Rebecca Hodder, Luke Wolfenden and Nicole Nathan
Background: To determine Australian primary school principals’, teachers’, and parents’ attitudes to changing school uniform policies to allow students to wear sports uniforms every day and to assess associations between participant characteristics and their attitudes. A secondary aim was to identify principals’ and teachers’ perceived barriers to uniform changes. Methods: Cross-sectional surveys of principals, teachers, and parents of children in grades 2 to 3 (age 7–10 y) from 62 Australian primary schools (Oct 2017–Mar 2018) were undertaken. Mixed logistic regression analyses assessed the associations between participant characteristics and attitudes toward uniform changes. Results: In total, 73% of the principals (38/52) who responded reported that their school only allowed children to wear a sports uniform on sports days. Overall, 38% of the principals (18/47), 63% of the teachers (334/579), and 78% of the parents (965/1231) reported they would support a policy that allowed children to wear daily sports uniforms. The most commonly reported barrier was the perception that sports uniforms were not appropriate for formal occasions. Conclusions: Although the majority of the principals were not supportive of a change to a daily sports uniform, the majority of the teachers and parents were. Strategies to improve principal support may be required if broader adoption of physical activity–supporting uniforms is to be achieved.
Soultana Macridis, Christine Cameron, Jean-Philippe Chaput, Tala Chulak-Bozzer, Patricia Clark, Margie H. Davenport, Guy Faulkner, Jonathon Fowles, Lucie Lévesque, Michelle M. Porter, Ryan E. Rhodes, Robert Ross, Elaine Shelton, John C. Spence, Leigh M. Vanderloo and Nora Johnston
Background: The ParticipACTION Report Card on Physical Activity for Adults is a knowledge exchange tool representing a synthesis of the literature and data available at the national level. The purpose of this paper is to summarize the results of the inaugural 2019 edition. Methods: Thirteen physical activity indicators, grouped into 4 categories, were graded by a committee of experts using a process that was informed by the best available evidence. Sources included national surveys, peer-reviewed literature, and gray literature such as government and nongovernment reports and online content. Results: Grades were assigned to Daily Behaviors (overall physical activity: D; daily movement: C; moderate to vigorous physical activity: F; muscle and bone strength: INC; balance: INC; sedentary behavior: INC; sleep: B−), Individual Characteristics (intentions: B+), Settings and Sources of Influence (social support: INC; workplace: INC; community and environment: B−; health and primary care settings: C−), and Strategies and Investments (government: B−). Conclusions: Generally, lower grades were given to behavior-related indicators (eg, overall physical activity) and better grades for indicators related to investments, community supports, and strategies and policies. Research gaps and future recommendations and directions are identified for each indicator to support future practice, policy, and research directions.
David I. Anderson
The goal of this special issue of Kinesiology Review is to expose kinesiology to a body of knowledge that is unfamiliar to most in the field. That body of knowledge is broad, deep, rich, and enduring. In addition, it brings with it a skill set that could be extremely helpful to professional practice, whether in teaching, coaching, training, health work, or rehabilitation. The body of knowledge and skills comes from a loosely defined field of study I have referred to as “complementary and alternative approaches to movement education” (CAAME). The field of CAAME is as diverse as the field of kinesiology. This introductory article focuses on what the field of CAAME has to teach kinesiology and what the field could learn from kinesiology. The overarching aim of the special issue is to foster dialogue and collaboration between students and scholars of kinesiology and practitioners of CAAME.
Marcelo Toledo-Vargas, Patricio Perez-Contreras, Damian Chandia-Poblete and Nicolas Aguilar-Farias
Background: The purpose was to determine the proportion of 9- to 11-year-old children meeting the 24-hour movement guidelines (24-HMG) in a low-income town from Chile. Methods: Physical activity, sedentary behavior (recreational screen), and sleep times were measured with both questionnaire and accelerometer in 258 children from third to sixth grade. Meeting the 24-HMG was defined as having ≥60 minutes per day of moderate to vigorous physical activity, ≤2 hour day of screen time, and 9 to 11 hours of sleep per night. Compliance rates were calculated as self-reported 24-HMG, with all estimations based on questionnaires, and mixed 24-HMG, in which physical activity and sleep were determined with an accelerometer and sedentary behavior was determined with a questionnaire. Results: About 198 children (10.1 [0.8] y, range 9–11 y) provided valid data for estimating self-reported 24-HMG, and 141 for mixed 24-HMG. Only 3.2% and 0.7% met the 24-HMG when using the self-reported and mixed methods, respectively. When assessing individual recommendations, 13.1% and 3.7% of the sample were physically active based on the self-report and accelerometer, respectively. About a quarter met the sedentary behavior recommendations, while around 50% met the sleep recommendations with both self-reported and mixed methods. Conclusions: An extremely low percentage of the participants met the 24-HMG. Multicomponent initiatives must be implemented to promote healthy movement behaviors in Chilean children.
Charlotte Skau Pawlowski, Henriette Bondo Andersen and Jasper Schipperijn
Background: It remains unclear if schoolyard interventions “just” provide more opportunities for those children who are already active. The authors wanted to investigate schoolyard use and physical activity (PA) among the least-active children during recess following schoolyard renewals. Methods: An intervention study design with preresults and postresults comparison was used. Accelerometer and global positioning system data were collected at 6 Danish schools from 553 children at baseline and 439 after renewals (grades 4–9). Based on mean minutes of recess moderate to vigorous PA per child per school, the least-active children were defined as all children in the lowest activity quartile at baseline and follow-up, respectively. Results: One hundred and thirty-five children (70% girls) at baseline and 108 (76% girls) at follow-up were categorized as the least-active children. At follow-up they accumulated more time (12.1 min/d) and PA (4.4 min/d) in the schoolyard during recess compared with baseline. The difference in schoolyard PA found for the least-active children was relatively small compared with the difference for all children. Conclusions: Solely improving the physical schoolyard environment seemed to have limited impact on the least-active children’s PA. Future studies should investigate the complex interrelations between the least-active children and the entire schoolyard environment.
Sanne L.C. Veldman, Rachel A. Jones, Rebecca M. Stanley, Dylan P. Cliff, Stewart A. Vella, Steven J. Howard, Anne-Maree Parrish and Anthony D. Okely
Background: The aim of this study was to examine the efficacy of an embedded after-school intervention, on promoting physical activity and academic achievement in primary-school-aged children. Methods: This 6-month, 2-arm cluster randomized controlled trial involved 4 after-school centers. Two centers were randomly assigned to the intervention, which involved training the center staff on and implementing structured physical activity (team sports and physical activity sessions for 75 min) and academic enrichment activities (45 min). The activities were implemented 3 afternoons per week for 2.5 hours. The control centers continued their usual after-school care practice. After-school physical activity (accelerometry) and executive functions (working memory, inhibition, and cognitive flexibility) were assessed pre- and postintervention. Results: A total of 60 children were assessed (7.7 [1.8] y; 50% girls) preintervention and postintervention (77% retention rate). Children in the intervention centers spent significantly more time in moderate to vigorous physical activity (adjusted difference = 2.4%; 95% confidence interval, 0.6 to 4.2; P = .026) and scored higher on cognitive flexibility (adjusted difference = 1.9 units; 95% confidence interval, 0.9 to 3.0; P = .009). About 92% of the intervention sessions were implemented. The participation rates varied between 51% and 94%. Conclusion: This after-school intervention was successful at increasing moderate to vigorous physical activity and enhancing cognitive flexibility in children. As the intervention was implemented by the center staff and local university students, further testing for effectiveness and scalability in a larger trial is required.