Advancing athlete development: How Percentile Comparison Methods (PCMs) can identify youth developmental profiles.

OBJECTIVES: Inter-individual developmental differences confound the capability to accurately evaluate youth athletic performance, highlighting the need for considerate methodology and analytical approaches. The present study demonstrated how Percentile Comparison Methods (PCMs) were developed, tested, and applied to identify athlete developmental profiles in Australian youth swimming. DESIGN: Cross-sectional. METHODS: Participants were N = 866 female 100-metre (m) Front-Crawl swimmers, aged 9-15 years, competing at 36 Australian regional-national level long course events. At respective events, swim performance time was collated alongside, age, date of birth, and anthropometric measures to identify age group, relative age, and maturity status. Quadratic relative age and maturity status with 100-m performance regression trendlines were generated. Then, individual swim performances at a given relative age or maturity status were converted into percentile rank distributions and compared with raw (unadjusted) annual age-group performance percentile ranks. RESULTS: At a cohort level, initial testing confirmed relative age and maturity-adjusted percentile rankings were associated with general rank improvements for relatively younger and later maturing swimmers compared to raw ranks (and vice versa). When assessing individual swimmer plots, where three percentile rank scores were compared and rank change threshold criteria applied, five Percentile Comparison Method profile types were identified, namely: 'Early Developing' (19 %); 'Later Developing' (18 %); 'Consistent' (15 %); 'Mixed' (38 %) and 'Counteracting' (10 %). Percentile Comparison Method plots helped identify developmentally (dis-)advantaged swimmers; specific factors leading to (dis-)advantage, and likely onward development trajectories. CONCLUSIONS: Overall and with practical considerations, Percentile Comparison Methods can improve the validity of youth athletic performance evaluation as well as inform athlete development programming.

Through the eyes of young people: favourite places for physical activity.

INTRODUCTION: A decrease in physical activity amongst adolescents has been observed and it is well documented that low levels of activity are associated with poor health. In an attempt to understand factors that influence physical activity (PA) in young people research was undertaken with high school students in New Zealand to identify preferred places for PA and establish factors that they felt influenced levels of PA. METHODS: One hundred males and 73 females in year nine (aged 12-13) in health and physical education classes completed mapping exercises in which they delineated favourite and least favourite places for PA, where they went on a particular Sunday, how they got there and what they did, and chosen after-school activities and how they got there. RESULTS: Open public spaces were the most favoured places for PA with a nearby beach and park most frequently cited. Specific physical activities, having fun, and having friends to do an activity with were the most frequently cited reasons for liking these places. An industrial harbour area, other schools, and cemeteries were the least favoured places. Less than 2% biked somewhere on the Sunday surveyed and only 23% walked somewhere. The majority were driven to activities by car and a similar reliance on cars was observed for after-school activities. CONCLUSIONS: A combination of environmental and social factors is important in both encouraging and discouraging PA and should be taken into account when seeking to enhance PA of young people.