Jericho Wee

Lim, C, Wee, J, Lee, M, Lim, S, and Leow, S. Validity and reliability of the power slap board as an application to measure upper body vertical pulling power for female water polo players. J Strength Cond Res XX(X): 000–000, 2024—This study examined the validity and reliability of the power slap test (PS) as an assessment for upper body pulling power to predict water polo functional performance and competitive experience of female water polo players. Seventeen female water polo players from the national and development squads were recruited. Subjects completed test-retest sessions of PS testing and 1 session of functional performance tests for the 15-m arms-only sprint (15 mAOS) and the 5-m maximum shooting velocity (5 mMSV). All PS, 15 mAOS and 5 mMSV results were compared for predictability. Power slap scores demonstrated high reliability for left PS (intraclass correlations [ICC]: 0.96, 90% confidence interval [CI]: 0.91–0.98), right PS (ICC: 0.96, 90% CI: 0.90–0.98), left and right center of mass (COM) displacement (ICC: 0.98, 90% CI: 0.96–0.99; ICC: 0.95, 90% CI: 0.88–0.98), and summed PS (ICC: 0.96, 90% CI: 0.92–0.99). All absolute PS scores and left COM displacement (COM_dispL) demonstrated large correlations with the 15 mAOS times (r = −0.542 to −0.52, r ² = 0.27–0.29, p < 0.05). No performance parameters of the PS were correlated with the 5 mMSV performance (p > 0.05). This study validates the reliability of the PS as a dryland assessment tool for upper body pulling power. Only absolute PS scores and COM_disp were validated as weak predictors of the arms-only sprint times over 15 m. Its predictive power significantly improved when considered in combination with shooting performance. All absolute and normalized kinetic and kinematic PS parameters did not predict functional performance and competitive experience.

Using palatable fluids to enhance drinking in athletes who display insufficient compensatory hydration behaviour may mitigate the risks of hypohydration and performance deficits. However, it is unclear whether flavour can independently enhance fluid consumption. This study examined the effects of a colourless, artificially sweetened flavoured water (FW), without carbohydrates and with negligible amounts of sodium, compared to plain water (W) on fluid consumption in male collegiate basketball players in a practical game setting. Eighteen male basketball players (age 23.1 ± 1.3 years) played a 3v3 basketball small-sided game. The players were randomly assigned to consume either FW or W. Pre-game urine-specific gravity, fluid consumption, body mass, and hedonic taste perceptions were assessed. Basketball performance was analysed through notational analysis. Ratings of perceived exertion and thirst were recorded at pre-, post-game, and at each rest period. Heart rate was recorded throughout the gameplay. Despite significantly higher hedonic ratings for FW than W (6.78 ± 0.83 vs. 5.56 ± 1.33, p = 0.033, d = 1.36), there were no significant differences in fluid consumption (1083 ± 32 mL vs. 1421 ± 403 mL, p = 0.068, d = 0.92). Our result highlighted that using palatable fluids as a strategy to increase fluid consumption during high-intensity gameplay in the heat may not be effective if used without carbohydrates and electrolytes. Practitioners could consider both fluid palatability and composition in establishing a hydration plan for athletes.

There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individualizing hydration strategies. This study aimed to evaluate and characterize the hydration status and fluid balance characteristics of high-performance adolescent athletes and examine the differences in fluid consumption behaviors during training. In total, 105 high-performance adolescent athletes (male: 66, female: 39; age 14.1 ± 1.0 y) across 11 sports had their hydration status assessed on three separate occasions—upon rising and before a low and a high-intensity training session (pre-training). The results showed that 20–44% of athletes were identified as hypohydrated, with 21–44% and 15–34% of athletes commencing low- and high-intensity training in a hypohydrated state, respectively. Linear mixed model (LMM) analyses revealed that athletes who were hypohydrated consumed more fluid (F (1.183.85)) = 5.91, (p = 0.016). Additional K-means cluster analyses performed highlighted three clusters: “Heavy sweaters with sufficient compensatory hydration habits,” “Heavy sweaters with insufficient compensatory hydration habits” and “Light sweaters with sufficient compensatory hydration habits”. Our results highlight that high-performance adolescent athletes with ad libitum drinking have compensatory mechanisms to replenish fluids lost from training. The approach to distinguish athletes by hydration characteristics could assist practitioners in prioritizing future hydration intervention protocols.