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Background: Little is known about which indicators of performance elite athlete coaches (i.e., professional coaches who coach at the national or international levels) consider to be important for basketball., Objective: Using a Delphi procedure, the aim of this study was to identify the non-game performance indicators elite athlete coaches consider to be important for the recruitment/selection of basketball players., Methods: Ninety elite athlete coaches (basketball coaches (n = 71) and strength/conditioning coaches (n = 19) who coached men (n = 60), women (n = 23), or both (n = 7)), employed in 23 countries across six continents, participated in a three-round online Delphi survey. Round 1 asked coaches to identify the non-game performance indicators (i.e., measures other than game statistics) they currently used (or would like to use) for player recruitment/selection, with common indicators combined into single indicators. Round 2 asked coaches to rate the importance of each performance indicator using a Likert scale (range: 0 = no importance whatsoever to 10 = extremely important). Round 3 asked coaches to identify the single best test measure for each indicator rated ≥ 6 (i.e., important to extremely important) in Round 2. Results were reported descriptively., Results: A total of 608 responses (344 after removal of duplicates) were reported in Round 1, which were collapsed into 35 indicators, all of which were rated as 'important' in Round 2. Psychological and game intelligence indicators were typically rated as very important to extremely important (i.e., median = 9), with physical fitness and movement skills typically rated as very important (i.e., median = 8). For most indicators, coach observation was identified as the best test measure, with unique objective performance/anthropometric tests identified for all physical fitness indicators., Conclusion: This study identified a range of psychological, game intelligence, physical fitness, and movement skill indicators that were considered by elite athlete coaches to be important to extremely important for the recruitment/selection of basketball players. These findings may inform the development of a basketball-specific test battery for recruiting/selecting and monitoring players., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Two years on from the inaugural Active Healthy Kids Australia (AHKA) Physical Activity Report Card, there has been little to no change with the majority of Australian children still insufficiently active., Methods: The 2016 AHKA Report Card was developed using the best available national- and state-based physical activity data, which were evaluated by the AHKA Research Working Group using predetermined weighting criteria and benchmarks to assign letter grades to the 12 Report Card indicators., Results: In comparison with 2014, Overall Physical Activity Levels was again assigned a D- with Organized Sport and Physical Activity Participation increasing to a B (was B-) and Active Transport declining to a C- (was C). The settings and sources of influence again performed well (A- to a C+), however Government Strategies and Investments saw a decline (C+ to a D). The traits associated with physical activity were also graded poorly (C- to a D)., Conclusions: Australian youth are insufficiently active and engage in high levels of screen-based sedentary behaviors. While a range of support structures exist, Australia lacks an overarching National Physical Activity Plan that would unify the country and encourage the cultural shift needed to face the inactivity crisis head on.

Youth participation in organised sport and physical activity is important for healthy development, growth and wellbeing. In 2014, Active Healthy Kids Australia released its inaugural Report Card on Physical Activity for Children and Young People, which synthesised the best available national- and state-level data for children and young people (<18 years). This paper provides a more detailed examination of the evidence informing the grade for Organised Sport from the 2014 Report Card, compares Australia's Organised Sport grade with other countries, identifies future directions for research and surveillance, and explores possible beneficial strategies. The Report Card highlighted that between 64% and 85% of Australians aged 5-17 years participate in organised sports, a rate higher than alternate forms of physical activity such as active transportation, active play and school based physical activity. This finding reflects Australia's position as one of the global leaders for participating in organised sport. Future research and surveillance methodologies however, need to incorporate standardised metrics that aim to capture more detailed data regarding organised sport participation. Facilitating access for all children and preventing dropout from organised sports are important initiatives to improve current levels of sport participation. However, given that 80% of Australians aged 5-17 years are not sufficiently physically active to achieve the daily recommendation, participation in sport alone is not enough to ensure that children can accrue the health benefits associated with being physically active. As such, there is a pressing need to develop strategies that engage children in other forms of physical activity such as active transportation and active play., (Copyright © 2015 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Background: Australia has joined a growing number of nations that have evaluated the physical activity and sedentary behavior status of their children. Australia received a "D minus" in the first Active Healthy Kids Australia Physical Activity Report Card., Methods: An expert subgroup of the Australian Report Card Research Working Group iteratively reviewed available evidence to answer 3 questions: (a) What are the main sedentary behaviors of children? (b) What are the potential mechanisms for sedentary behavior to impact child health and development? and (c) What are the effects of different types of sedentary behaviors on child health and development?, Results: Neither sedentary time nor screen time is a homogeneous activity likely to result in homogenous effects. There are several mechanisms by which various sedentary behaviors may positively or negatively affect cardiometabolic, neuromusculoskeletal, and psychosocial health, though the strength of evidence varies. National surveillance systems and mechanistic, longitudinal, and experimental studies are needed for Australia and other nations to improve their grade., Conclusions: Despite limitations, available evidence is sufficiently convincing that the total exposure and pattern of exposure to sedentary behaviors are critical to the healthy growth, development, and wellbeing of children. Nations therefore need strategies to address these common behaviors.

Background: Digit ratio (2D:4D), a measure of prenatal testosterone exposure, is weakly-to-moderately associated with increased physical performance, although the evidence is far stronger for males than females., Objective: To examine the relationship between 2D:4D and measured on-water rowing performance in young females competing at the Australian Rowing Championships., Methods: Using an observational, cross-sectional design, female rowers (n = 69, aged 12-30 years) who competed in single sculls events at the Australian Rowing Championships in 2007 and 2008 had numerous physical and digital anthropometric measurements taken, including 2D:4D measurements. Relationships between 2D:4Ds and race times were examined using Pearson's correlations, partial correlations and multiple regression. Partial Least Squares regression analysis determined the strength of the 2D:4D as a predictor of race time relative to 78 body dimensions plus age., Results: Overall, weak to strong positive correlations between 2D:4D and race time were found; that is, females with smaller 2D:4Ds had faster race times than females with larger 2D:4Ds. Relationships were weak to moderate for all females (r = 0.29-0.32), moderate-to-strong for senior rowers (aged ≥20 years; r = 0.42-0.55), and weak for junior rowers (aged <20 years; r = 0.13-0.18), with all relationships persisting following adjustment for age. Partial Least Squares regression analysis showed that 2D:4Ds had high predictive importance relative to other body dimensions., Conclusions: Females with smaller 2D:4Ds rowed substantially faster than females with larger 2D:4Ds, with the 2D:4D possibly linked to underlying characteristics that have been optimized over time resulting in better rowing performance., (© 2014 Wiley Periodicals, Inc.)

Background: Obese adolescents achieve less moderate to vigorous physical activity (MVPA) than normal-weight adolescents, but the nature and extent of the deficit is unclear. This study aimed to describe differences in MVPA across weight status categories by domain of activity (sport, play, and active transport) and specific activity-sets (e.g. team sports, playground games, and chores) using minutes of activity, estimated intensity, and estimated energy expenditure as metrics of MVPA., Method: Anthropometric, use-of-time, and pedometer data were collected on a random sample of 2,200 Australian children aged 9-16 years. Minutes of activity, intensity metabolic equivalents of tasks (METs), and energy expenditure (MET.min) within each domain were estimated using an energy cost compendium., Results: Obese adolescents reported 174 MET.min/d lower MVPA energy expenditure than normal-weight peers (p < .0001), more than accounting for the entire difference in total daily energy expenditure (154 MET.min/d). Of this difference, 121 MET.min/d was associated with lower sports participation (p < .0001) and 45 MET.min/d with less free play (p = .03). There were no differences in minutes of active transport or in reported activity intensity across weight status categories in sport, free play, or active transport. The differences in MVPA participation between obese and normal-weight adolescents were largely because of different levels of participation in team sports, cycling, partner sports (boys), and dancing (girls)., Conclusion: More than two-thirds of the difference in energy expenditure between obese and normal-weight Australian adolescents was because of lower participation in sport. Strategies for engaging obese adolescents in sport may help to redress deficits in energy expenditure., (Copyright © 2011 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)