The purpose of this article is to articulate the need for a strong commitment to transgender inclusion in sport and physical activity, including in locker rooms and team spaces. The authors begin by defining key constructs and offering a theoretical overview of stigma toward transgender individuals. The focus then shifts to the changing opportunities for transgender athletes at all participation levels, case law and rulings germane to the topic, and the psychological, physical, and social outcomes associated with inclusion and exclusion. Next, the authors present frequently voiced concerns about transgender inclusion, with an emphasis on safety and privacy. Given the review, the authors present the case for inclusive locker rooms, which permit access by transgender athletes to facilities that correspond to their gender identity. The authors conclude with the official AKA position statement—“The American Kinesiology Association endorses inclusive locker rooms, by which we mean sex-segregated facilities that are open to transgender athletes on the basis of their gender identity”—and implications for sport and physical activity.
George B. Cunningham, Erin Buzuvis and Chris Mosier
Marie H. Murphy, Angela Carlin, Catherine Woods, Alan Nevill, Ciaran MacDonncha, Kyle Ferguson and Niamh Murphy
Background: Time spent in university represents a period of transition and may be an appropriate time to promote physical activity among young adults. The aim of this study was to assess participation of university students in sport and physical activity in Ireland and to explore the association between physical activity and perceptions of overall health, mental health, and happiness. Methods: The Student Activity and Sport Study Ireland was a cross-sectional online survey among a representative sample (n = 8122) of university students in Ireland. Binary logistic regressions were performed to examine associations between self-reported physical activity and gender (predictor variables) and individual perceptions of overall health, mental health, and happiness (binary outcomes). Results: Only 64.3% of respondents met the recommended level of 150 minutes of moderate to vigorous physical activity per week with males significantly more active than females (72.1% vs 57.8% meeting guidelines). Those meeting physical activity guidelines were more likely to report greater overall health and higher mental health and happiness scores compared with their inactive peers. Conclusions: Active students enjoy better health (overall and mental) and are happier than their inactive peers. This provides a clear rationale for providing students with opportunities to be active at university. The data provide a baseline to monitor changes in physical activity patterns.
Elin Ekblom-Bak, Örjan Ekblom, Gunnar Andersson, Peter Wallin and Björn Ekblom
Background: The importance of youth physical activity (PA) for adulthood PA, performance, and health was retrospectively evaluated. Methods: A total of 258,146 participants (49% women), aged 19–70, with a first-time health-profile assessment between 1982 and 2015, provided self-reported data on current perceived health, PA, lifestyle, and physical education class participation, and PA outside school hours before age 20. Data on anthropometrics, blood pressure, and estimated maximal oxygen consumption (VO2max) were obtained. Results: Women participating in physical education class, compared with those who did not, had significantly lower OR (range: 0.81–0.87) for perceiving poor overall health, general obesity, and high diastolic blood pressure after adjustment for potential confounders, and increased OR (range: 1.17–1.23) for exercising regularly and a normal/high VO2max in adulthood. For men, the ORs were significantly lower (range: 0.66–0.86) for poor perceived overall health, general, and abdominal obesity. These associations were seen for participants up to 70 years. Increased PA outside school hours revealed even stronger beneficial associations. In joint analyses, both youth and current PA were important for lower OR of poor health and being obese in adulthood. Conclusions: Physical education class participation and additional PA after school hours were both important for perceived health, PA, VO2max, and metabolic health in adulthood up to 70 years.
Janet E. Fulton, David M. Buchner, Susan A. Carlson, Deborah Borbely, Kenneth M. Rose, Ann E. O’Connor, Janelle P. Gunn and Ruth Petersen
Physical activity can reduce the risk of at least 20 chronic diseases and conditions and provide effective treatment for many of these conditions. Yet, physical activity levels of Americans remain low, with only small improvements over 20 years. The Centers for Disease Control and Prevention (CDC) considered what would accelerate progress and, as a result, developed Active People, Healthy NationSM, an aspirational initiative to improve physical activity in 2.5 million high school youth and 25 million adults, doubling the 10-year improvement targets of Healthy People 2020. Active People, Healthy NationSM will implement evidence-based guidance to improve physical activity through 5 action steps centered on core public health functions: (1) program delivery, (2) partnership mobilization, (3) effective communication, (4) cross-sectoral training, and (5) continuous monitoring and evaluation. To achieve wide-scale impact, Active People, Healthy NationSM will need broad engagement from a variety of sectors working together to coordinate activities and initiatives.
David P. Looney, Mark J. Buller, Andrei V. Gribok, Jayme L. Leger, Adam W. Potter, William V. Rumpler, William J. Tharion, Alexander P. Welles, Karl E. Friedl and Reed W. Hoyt
ECTemp™ is a heart rate (HR)-based core temperature (CT) estimation algorithm mainly used as a real-time thermal-work strain indicator in military populations. ECTemp™ may also be valuable for resting CT estimation, which is critical for circadian rhythm research. This investigation developed and incorporated a sigmoid equation into ECTemp™ to better estimate resting CT. HR and CT data were collected over two calorimeter test trials from 16 volunteers (age, 23 ± 3 yrs; height, 1.72 ± 0.07 m; body mass, 68.5 ± 8.1 kg) during periods of sleep and inactivity. Half of the test trials were combined with ECTemp™’s original development dataset to train the new sigmoid model while the other was used for model validation. Models were compared by their estimation accuracy and precision. While both models produced accurate CT estimates, the sigmoid model had a smaller bias (−0.04 ± 0.26°C vs. −0.19 ± 0.29°C) and root mean square error (RMSE; 0.26°C vs. 0.35°C). ECTemp™ is a validated HR-based resting CT estimation algorithm. The new sigmoid equation corrects lower CT estimates while producing nearly identical estimates to the original quadratic equation at higher CT. The demonstrated accuracy of ECTemp™ encourages future research to explore the algorithm’s potential as a non-invasive means of tracking CT circadian rhythms.
Salomé Aubert, Joel D. Barnes, Chalchisa Abdeta, Patrick Abi Nader, Ade F. Adeniyi, Nicolas Aguilar-Farias, Dolores S. Andrade Tenesaca, Jasmin Bhawra, Javier Brazo-Sayavera, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Catherine E. Draper, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Karla I. Galaviz, Silvia A. González, Marianella Herrera-Cuenca, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Katariina Kämppi, Tarun R. Katapally, Piyawat Katewongsa, Peter T. Katzmarzyk, Asaduzzaman Khan, Agata Korcz, Yeon Soo Kim, Estelle Lambert, Eun-Young Lee, Marie Löf, Tom Loney, Juan López-Taylor, Yang Liu, Daga Makaza, Taru Manyanga, Bilyana Mileva, Shawnda A. Morrison, Jorge Mota, Vida K. Nyawornota, Reginald Ocansey, John J. Reilly, Blanca Roman-Viñas, Diego Augusto Santos Silva, Pairoj Saonuam, John Scriven, Jan Seghers, Natasha Schranz, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Narayan Subedi, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Dawn Tladi, Richard Tyler, Riaz Uddin, Alun Williams, Stephen H.S. Wong, Ching-Lin Wu, Paweł Zembura and Mark S. Tremblay
Background: Accumulating sufficient moderate to vigorous physical activity is recognized as a key determinant of physical, physiological, developmental, mental, cognitive, and social health among children and youth (aged 5–17 y). The Global Matrix 3.0 of Report Card grades on physical activity was developed to achieve a better understanding of the global variation in child and youth physical activity and associated supports. Methods: Work groups from 49 countries followed harmonized procedures to develop their Report Cards by grading 10 common indicators using the best available data. The participating countries were divided into 3 categories using the United Nations’ human development index (HDI) classification (low or medium, high, and very high HDI). Results: A total of 490 grades, including 369 letter grades and 121 incomplete grades, were assigned by the 49 work groups. Overall, an average grade of “C-,” “D+,” and “C-” was obtained for the low and medium HDI countries, high HDI countries, and very high HDI countries, respectively. Conclusions: The present study provides rich new evidence showing that the situation regarding the physical activity of children and youth is a concern worldwide. Strategic public investments to implement effective interventions to increase physical activity opportunities are needed.
Taru Manyanga, Joel D. Barnes, Chalchisa Abdeta, Ade F. Adeniyi, Jasmin Bhawra, Catherine E. Draper, Tarun R. Katapally, Asaduzzaman Khan, Estelle Lambert, Daga Makaza, Vida K. Nyawornota, Reginald Ocansey, Narayan Subedi, Riaz Uddin, Dawn Tladi and Mark S. Tremblay
Background: This study compares results of physical activity report cards from 9 countries with low to medium human development indices, participating in the Global Matrix 3.0 initiative. Methods: Country-specific report cards were informed by relevant data and government policy documents, reporting on 10 core indicators of physical activity for children and youth. Data were synthesized by report card working groups following a harmonized process. Grade assignments for each indicator utilized a standard grading rubric. Indicators were grouped into one of 2 categories: daily behaviors and settings and sources of influence. Descriptive statistics (average grades) were computed after letter grades were converted into interval variables. Spearman’s rank correlation coefficients were calculated for all correlation analyses. Results: Mean grades for daily behaviors were higher (C) than those for settings and sources of influence (D+). Twenty-nine out of the possible 90 grades were assigned an incomplete. There were moderate to strong positive and negative relationships between different global indices and overall physical activity, organized sport and physical activity, active play, family, community and environment, and government. Conclusions: Findings demonstrate an urgent need for high-quality data at the country level in order to better characterize the physical activity levels of children and youth in countries with low to medium human development indices.
Salomé Aubert, Joel D. Barnes, Nicolas Aguilar-Farias, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Peter T. Katzmarzyk, Agata Korcz, Yeon Soo Kim, Eun-Young Lee, Marie Löf, Tom Loney, Shawnda A. Morrison, Jorge Mota, John J. Reilly, Blanca Roman-Viñas, Natasha Schranz, John Scriven, Jan Seghers, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Richard Tyler, Alun Williams, Stephen H.S. Wong, Paweł Zembura and Mark S. Tremblay
Background: To better understand the childhood physical inactivity crisis, Report Cards on physical activity of children and youth were prepared concurrently in 30 very high Human Development Index countries. The aim of this article was to present, describe, and compare the findings from these Report Cards. Methods: The Report Cards were developed using a harmonized process for data gathering, assessing, and assigning grades to 10 common physical activity indicators. Descriptive statistics were calculated after converting letter grades to interval variables, and correlational analyses between the 10 common indicators were performed using Spearman’s rank correlation coefficients. Results: A matrix of 300 grades was obtained with substantial variations within and between countries. Low grades were observed for behavioral indicators, and higher grades were observed for sources of influence indicators, indicating a disconnect between supports and desired behaviors. Conclusion: This analysis summarizes the level and context of the physical activity of children and youth among very high Human Development Index countries, and provides additional evidence that the situation regarding physical activity in children and youth is very concerning. Unless a major shift to a more active lifestyle happens soon, a high rate of noncommunicable diseases can be anticipated when this generation of children reaches adulthood.