Wing-Chun V. Yeung, Chris Bishop, Anthony N. Turner, and Sean J. Maloney
Purpose: Previously, it has been shown that loaded warm-up (LWU) can improve change-of-direction speed (CODS) in professional badminton players. However, the effect of asymmetry on CODS in badminton players and the influence of LWU on asymmetry has not been examined. Methods: A total of 21 amateur badminton players (age 29.5 [8.4] y, playing experience 8.4 [4.2] y) completed 2 trials. In the first, they performed a control warm-up. In the second, they performed the same warm-up but with 3 exercises loaded with a weight vest (LWU). Following both warm-ups, players completed single-leg countermovement jump and badminton-specific CODS tests. Results: No significant differences between control warm-up and LWU were observed for CODS, single-leg countermovement jump, or single-leg countermovement jump asymmetry. However, small effect sizes suggested faster CODS (mean difference: −5%; d = −0.32) and lower asymmetries (mean difference: −3%; d = −0.39) following LWU. Five players (24%) experienced CODS improvements greater than the minimum detectable change while 2 (10%) responded negatively. Asymmetry was not correlated with CODS following control warm-up (ρ = .079; P = .733) but was negatively associated with CODS after LWU (ρ = −.491; P = .035). Conclusion: LWU may prove a strategy to trial on an individual basis, but generic recommendations should not be applied.
Terry Eddy, B. Colin Cork, Katie Lebel, and Erin Howie Hickey
Research on sport sponsors’ use of social media has begun to emerge, but, to date, limited research has examined how sponsors are using social media as an activation platform to engage with followers. Thus, the purpose of this research was to examine differences in follower engagement with regard to sponsored Twitter posts from North American professional sport organizations, based upon the focus, scope, and activation type of the sponsored messages. This manuscript consists of two related studies—Study 1 employed a deductive content analysis, followed by negative binomial regression modeling, to examine differences in engagement between message structures defined by focus and scope. Study 2 featured an inductive content analysis to investigate differences in engagement between different types of activations. The findings suggest that, in general, more passive (or less overt) forms of sponsor integration in social media messages drive more engagement among followers.
Andrea Ramírez Varela and Michael Pratt
In 2012, the Global Observatory for Physical Activity (GoPA!) was established to provide information that would enable countries to initiate or improve research capacity, surveillance systems, program development, and policymaking to increase physical activity levels. Findings from the first GoPA! Country Cards showed an unequal distribution of physical activity surveillance, research productivity, and policy development and implementation around the world. Regular global monitoring of these factors, especially in countries with the largest data gaps, was recommended to combat the global pandemic of physical inactivity. After 6 years and using standardized methods, GoPA! is launching the second set of Country Cards based on data up to 2019 from 217 countries. Overall results showed that periodic national surveillance of physical activity was less common in low-income countries, compared with middle- and high-income countries. Large inequities were seen with more than a 50-fold difference in publications between high- and low-income countries and 32% of the countries worldwide had no physical activity policy. GoPA! has a critical role in facilitating evidence-based physical activity promotion building on international guidelines and the World Health Organization Global Action Plan. GoPA! will continue to monitor progress as we battle the global pandemic of physical inactivity.
Thomas Mullen, Craig Twist, Matthew Daniels, Nicholas Dobbin, and Jamie Highton
Purpose: To identify the association between several contextual match factors, technical performance, and external movement demands on the subjective task load of elite rugby league players. Methods: Individual subjective task load, quantified using the National Aeronautics and Space Administration Task Load Index (NASA-TLX), was collected from 29 professional rugby league players from one club competing in the European Super League throughout the 2017 season. The sample consisted of 26 matches (441 individual data points). Linear mixed modeling revealed that various combinations of contextual factors, technical performance, and movement demands were associated with subjective task load. Results: Greater number of tackles (effect size correlation ± 90% confidence intervals; η 2 = .18 ± .11), errors (η 2 = .15 ± .08), decelerations (η 2 = .12 ± .08), increased sprint distance (η 2 = .13 ± .08), losing matches (η 2 = .36 ± .08), and increased perception of effort (η 2 = .27 ± .08) led to most likely–very likely increases in subjective total task load. The independent variables included in the final model for subjective mental demand (match outcome, time played, and number of accelerations) were unclear, excluding a likely small correlation with technical errors (η 2 = .10 ± .08). Conclusions: These data provide a greater understanding of the subjective task load and their association with several contextual factors, technical performance, and external movement demands during rugby league competition. Practitioners could use this detailed quantification of internal loads to inform recovery sessions and current training practices.
Ja’mese V. Booth, Sarah E. Messiah, Eric Hansen, Maria I. Nardi, Emily Hawver, Hersila H. Patel, Hannah Kling, Deidre Okeke, and Emily M. D’Agostino
Background: Only 24% of US youth meet physical activity recommendations set by the Centers for Disease Control and Prevention. Research demonstrates that community-based programs provide underresourced minority youth with opportunities for routine physical activity, although limited work draws from accelerometry data. This study objectively assessed youth physical activity attributable to participation (vs nonparticipation) days in a park-based afterschool program in Miami-Dade County, Miami, FL. Methods: Participants’ (n = 66; 60% male; 57% white Hispanic, 25% non-Hispanic black, 14% Black Hispanic, mean age = 10.2 y) physical activity was assessed April to May 2019 over 10 days across 7 park sites using Fitbit (Charge 2) devices. Separate repeated-measures multilevel models were developed to assess the relationship between program daily attendance and total (1) moderate to vigorous physical activity minutes and (2) step counts per day. Results: Models adjusted for individual-level age, sex, race/ethnicity, poverty, and clustering by park showed significantly higher moderate to vigorous physical activity minutes (β = 25.33 more minutes per day; 95% confidence interval, 7.0 to 43.7, P < .01) and step counts (β = 4067.8 more steps per day; 95% confidence interval, 3171.8 to 4963.8, P < .001) on days when youth did versus did not attend the program. Conclusions: Study findings suggest that park-based programs may support underserved youth in achieving daily physical activity recommendations.