ABSTRACT
Growth patterns and biological milestones in youth sports are key to interpreting the development of young athletes. However, there is no analysis of longitudinal meta-analysis describing the growth of young female athletes. This longitudinal meta-analysis estimated growth curves and age at peak height velocity (PHV) in young female athletes based on anthropometric data from longitudinal studies found in the literature. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, studies with repeated measurements in young female athletes were identified from searches of four databases (MEDLINE, Web of Science, SCOPUS, and SPORTDiscus) without date restrictions through August 2023. We adapted our bias assessment criteria using the Cochrane risk of bias tool for randomized controlled trials as a reference. Bayesian multilevel modeling was used to perform a longitudinal meta-analysis to extract stature growth curves and age at PHV. Fourteen studies met our eligibility criteria. Twenty-one independent samples could be included in the analysis. Conditional on the data and models, the predicted mean age at PHV for female athletes was 11.18 years (90% CI: 8.62; 12.94). When studies were aggregated by sport in the models, the models could not capture sport-specific growth curves for stature and estimate a corresponding age at PHV. We provide the first longitudinal meta-analytic summary of pubertal growth and derive age at PHV in young female athletes. The meta-analysis predicted that age at PHV occurs at similar ages to those in the general pediatric population. The data pool was limited in sports and geographic distribution, emphasizing the need to promote longitudinal research in females across different youth sports contexts.
ABSTRACT
Karasiak, FC and Guglielmo, LGA. Effects of exercise-induced muscle damage in well-trained cyclists' aerobic and anaerobic performances. J Strength Cond Res 32(9): 2632-2640, 2018-The purpose of this study was to analyze the effect of exercise-induced muscle damage (EIMD) in gross efficiency and in aerobic and anaerobic cycling performances. Nine well-trained cyclists (30.8 ± 6.4 years, cycling experience 8.4 ± 5.6 years) visited the laboratory 5 times. During the first visit, they performed a maximal incremental test on a cycle ergometer, to identify V[Combining Dot Above]O2max (55.2 ± 4.9 ml·kg·min) and maximum aerobic power (Pmax; 327.0 ± 28.5 W). During the second visit (control), they cycled 5 minutes at 60% of Pmax, 5 minutes at 70% of Pmax, 5-minute time trial, and Wingate test. During the third visit, the athletes performed 10 sets of 10 countermovement jumps, to generate EIMD. The athletes repeated the second visit tests (control) 30 minutes, 48 hours (fourth visit), and 96 hours (fifth visit) after the jumps. The rated perceived exertion values increased 48 hours after EIMD (3.8 vs. 3.1) at 60% of Pmax. The ventilation and respiratory exchange ratio increased at 60% of Pmax (up to 4.3 L·min and 0.04, respectively) and at 70% of Pmax (up to 5.4 L·min and 0.05, respectively), mainly after 96 hours. There was no significant difference in V[Combining Dot Above]O2, V[Combining Dot Above]CO2, and heart rate in submaximal exercises, neither in time trial. No differences were observed in the Wingate tests. In conclusion, the EIMD did not impair gross efficiency, nor aerobic and anaerobic performances in trained cyclists. However, despite the benefits of strength training to improve cyclists' performance, coaches must be cautious to the days after the strength training sessions because EIMD may change the perception of maintaining a given submaximal intensity during training or competition.
