Throughout the sport-science and sports-medicine literature, the term “elite” subjects might be one of the most overused and ill-defined terms. Currently, there is no common perspective or terminology to characterize the caliber and training status of an individual or cohort. This paper presents a 6-tiered Participant Classification Framework whereby all individuals across a spectrum of exercise backgrounds and athletic abilities can be classified. The Participant Classification Framework uses training volume and performance metrics to classify a participant to one of the following: Tier 0: Sedentary; Tier 1: Recreationally Active; Tier 2: Trained/Developmental; Tier 3: Highly Trained/National Level; Tier 4: Elite/International Level; or Tier 5: World Class. We suggest the Participant Classification Framework can be used to classify participants both prospectively (as part of study participant recruitment) and retrospectively (during systematic reviews and/or meta-analyses). Discussion around how the Participant Classification Framework can be tailored toward different sports, athletes, and/or events has occurred, and sport-specific examples provided. Additional nuances such as depth of sport participation, nationality differences, and gender parity within a sport are all discussed. Finally, chronological age with reference to the junior and masters athlete, as well as the Paralympic athlete, and their inclusion within the Participant Classification Framework has also been considered. It is our intention that this framework be widely implemented to systematically classify participants in research featuring exercise, sport, performance, health, and/or fitness outcomes going forward, providing the much-needed uniformity to classification practices.
Alannah K.A. McKay, Trent Stellingwerff, Ella S. Smith, David T. Martin, Iñigo Mujika, Vicky L. Goosey-Tolfrey, Jeremy Sheppard, and Louise M. Burke
Karel Frömel, Josef Mitáš, and Catrine Tudor-Locke
Background: This study aimed to present step-determined physical activity trends in adolescents with different activity levels over a period of 10 years. Methods: Pedometers were used to monitor weekly physical activity in 1855 boys and 2648 girls aged 15–19 years recruited from 155 schools in the Czech Republic between 2009 and 2018. Trends for average steps/day and percent of accumulating various levels of steps/day (<10,000, 10,000–13,000, and >13,000 steps/d) were analyzed by sex. Results: There was a statistically significant decrease in average steps/day between 2009–2010 and 2017–2018 in boys from 12,355 (3936) steps/d to 10,054 (3730) steps/d and girls from 11,501 (3278) steps/d to 10,216 (3288) steps/d. The percent accumulating <10,000 steps/d increased by 21% in boys and 12% in girls. The percent achieving >13,000 steps/d decreased by 17% in boys and 10% in girls. Conclusions: Objectively collected evidence indicates an overall decrease in Czech adolescents’ steps/day over a 10-year period concurrent with an increase in the percent of boys and girls accumulating <10,000 steps/d. These trends are concerning as they portend a decline in physical activity as adolescents transition to adulthood and continue to age, which also may have major health implications.
Iñigo Mujika and Karim Chamari
Courtney C. Walton, Kelsey J. Lewis, James Kirby, Rosemary Purcell, Simon M. Rice, and Margaret S. Osborne
This cross-sectional study explored athlete responses to the Compassion Motivation and Action Scales Self-Compassion Scale, examining its relationship with well-being. Athlete (N = 207; mean age 27.9 years) scores were consistent with previous population means. Scores on the Compassion Motivation and Action Scales Self-Compassion Scale did not differ between elite and nonelite athletes, nor did they correlate significantly with trait competitiveness. Significant differences emerged based on athlete well-being state, with athletes categorized as “flourishing” scoring higher on the total score and all subscales of the Compassion Motivation and Action Scales Self-Compassion Scale, as compared with those with “moderate mental health” (Cohen’s ds from 0.58 to 0.92). Furthermore, the distress tolerance subscale significantly mediated the relationship between self-compassion intentions and well-being (indirect path: B = 0.034, p < .001). The results suggest that self-compassionate intentions are not enough, and athletes may need support to tolerate the distress that comes with moving toward one’s own suffering.
Louis Passfield, Juan M. Murias, Massimo Sacchetti, and Andrea Nicolò
Katie M. Slattery, Lee K. Wallace, and Aaron J. Coutts
Shaun J. McLaren, Tzlil Shushan, Christoph Schneider, and Patrick Ward
Haneol Kim, Seonjin Kim, and Jianhua Wu
Esports demands exceptionally fine motor skills. Perceptual-motor abilities such as anticipation, eye–hand coordination, and peripheral perception are essential for esports gamers to achieve high-level performance and win the game. However, the understanding of perceptual-motor ability in professional esports gamers is still limited. The aim of this study was to compare the perceptual-motor skills between professional esports gamers and amateurs. Eight male professional gamers and eight amateurs participated in this study voluntarily and completed three tasks: anticipation timing, eye–hand coordination, and peripheral perception. Results showed that the professional gamers had an earlier and more consistent anticipation timing in the anticipation-timing task than amateurs across four stimulus speeds. The professional gamers displayed a wider visual perception angle than the amateurs in the peripheral perception task. Our results demonstrate that long-time esports training advanced the development of anticipation timing and peripheral perception but might not affect the ability of eye–hand coordination.