A profile of the skills, attributes, development, and employment opportunities for sport scientists in Australia.

OBJECTIVES: The purpose of this study was to document the technical and transferrable skills required for sport scientists, and perceived employment opportunities both currently and in the future with a particular emphasis on comparisons between academic and applied sport scientists. DESIGN: Cross-sectional survey methodology. METHODS: 117 Australian sport science employees completed an online survey capturing demographic information, perceptions about the importance of technical skills, transferable skills, future employment opportunities as well as free-text information on future careers, challenges, and opportunities for the profession. Descriptive statistics were used to summarise information and comparisons made between academic and applied sport science participants. RESULTS: Participants were predominantly male and 35 years or younger, with half reporting they held only one position within the industry. Most technical and transferrable skills were rated as important (>4.0 out of 5.0), with practitioner-focused skills rated somewhat more important by applied sport scientists compared to scientific-focused skills rated somewhat more important by academics, and applied sport scientists generally rating transferable skills as more important compared to academics (d > 0.5). Value and supply/demand were identified as challenges to the industry with discipline-specific roles and non-elite populations considered areas for future jobs. CONCLUSIONS: Participants felt there would be more jobs in the future and that these would be in discipline-specific roles and/or non-elite populations. Both technical and interpersonal skills were considered important for sport scientists. The greatest challenges are how sport science is valued and the potential oversupply of sport science graduates.

The Australian high performance and sport science workforce: A national profile.

OBJECTIVES: The purpose of this study was to provide a profile of the demographics and employment characteristics of the Australian high performance and sport science workforce. DESIGN: This study used a cross-sectional, quantitative survey methodology to collect data about the Australian high performance and sport science workforce. METHOD: 175 Australian high performance and sport science employees completed an online survey which captured demographic information and work-related characteristics such as role, industry sector, income, permanence of employment and hours worked. Descriptive statistics were used to summarise information and some comparisons were made between position titles, industry sectors and sexes. RESULTS: The Australian high performance and sport science workforce is predominantly male (76.0%), ≤35 years of age (50.3%), located on the eastern seaboard of Australia (69%) and have been in their current position for 2-5 years (37.4%). They are mostly employed on a fixed term contract of 2.4 years, by an institute of sport. Income varied, with those working in professional sporting clubs and/or employed as high performance managers earning the highest wage. On average, participants worked well over their contracted hours, with a considerable proportion of these hours outside the standard 9-5 working week. CONCLUSIONS: Employees in the high performance and sport science workforce in Australia face significant professional issues that relate to long and unusual work hours, job insecurity and income disparity. Policy makers and the managers of this workforce should consider the impact of these issues on work-life balance, staff retention rates and the risk of burnout.

Rule modification in junior sport: Does it create differences in player movement?

OBJECTIVES: To determine the effects of rule modification on player movement during matchplay in junior Australian football (AF). DESIGN: Quasi-experimental study design. METHODS: Time-motion analysis was used to record variables pertaining to player movement including total distance covered, high-speed running (HSR) distance (>14.4km/h) and HSR efforts. GPS data obtained from 145 players (7-12 years) were analysed across four junior AF leagues and three age group combinations (U8/U9, U9/U10 and U11/U12). The four leagues were collapsed into two separate conditions (compliant and non-compliant) based on their adherence to a modified junior sport policy. To control for the influence of age and physical maturity, a secondary analysis was performed on an adequately matched U8 subset of data (n=48). RESULTS: Significant differences (p<0.05) were found between compliant and non-compliant leagues for age and all player movement variables, with participants in the compliant leagues achieving less player movement. Significant differences were also evident between conditions in the U8 subset in total and relative distance and HSR efforts, with moderate to very large differences (29-60%) observed for all player movement variables. CONCLUSIONS: Rule modifications limits the extent and intensity of player movement in junior AF compared to standard playing conditions. The unintended effect of reduced physical activity with rule modifications should be compensated for with additional activities wherever possible. League administrators and policy makers should consider the objectives of rule modifications and weigh up both positive and negative outcomes.