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Objectives: To determine the concurrent validity of player self-reported and independently observed throwing volume. Examine whether sex, playing position, or time to upload self-reported data post training influences the accuracy of self-reported throwing loads., Design: Cross-sectional cohort study., Methods: A total of 8 female and 18 male elite cricket players participated in the study. Overarm throws from 12 training sessions during the 2020-21 cricket year were observed. Player self-reported throwing volume data were retrieved post training, with the time difference between session completion and self-reported data upload recorded., Results: A moderate positive correlation was found between self-reported and observed throwing loads (rho = 0.65), however only 22 % of players reported values within a 10 % level of error. Players reported a mean (SD) absolute inaccuracy of 11.17 (9.77) throws, and a mean (SD) relative inaccuracy of 24.76 (16.04) percent. Sex did not influence reporting accuracy (p = 0.41). Females tended to upload self-reported data the day of training, whereas men report the day following. Players who uploaded their data greater than one day after training were the most inaccurate with a mean relative inaccuracy of 36 %., Conclusions: While there is a clear relationship between observed and self-reported throwing volumes, the findings of this study question the validity of using player self-reported throwing load as a marker of true throwing loads with most players recording in excess of 10 % error. High performance staff and players should consider whether the current accuracy of self-reported throwing load justifies the additional reporting burden on the players during training., (Copyright © 2022 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

To examine the strength and direction of the relationship between physical activity level, screen use and BMI in a cohort at ages 6, 8, 10 and 14 yrs as part of a prospective longitudinal cohort study. The sample comprised 1403 males and females who participated in the follow-up survey at 14 yrs of age between 2003 and 2005. Exploratory structural equation modelling was used to examine the interrelationships between physical activity level, BMI and screen time at 6, 8, 10 and 14 yrs. Predictors of BMI at 6, 8, 10 and 14 yrs explained 1.3, 76.1, 80.1 and 73.1 percent of the variances, respectively, with previous BMI the largest predictor [χ(2)=43.082, df=36, p=194]. Increased screen time predicted higher BMI and lower physical activity at 8 and 10 yrs but not 14 yrs. At 14 yrs, physical activity predicted BMI. Sedentary patterns of behaviour in early childhood were predictive of later and concurrent obesity, whereas physical activity was predictive of obesity in adolescence. Different intervention targets are required for children and adolescents., (Copyright © 2011 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)