Dehydration impairs endurance and may compromise cognition, yet the impact of pre-exercise hydration status on thermoregulation and cognitive function during continuous exercise is not well defined. Thirty physically active men were randomized to be tested either well-hydrated (HYD; n = 16) or insufficiently hydrated (HYP; n = 14), classified by fasting urine specific gravity (USG; HYD < 1.018; HYP > 1.018) verified over three weeks. On the experimental day, participants cycled at 50% maximal power output (Wmax) under thermoneutral conditions (22°C, 45% RH) until 3% body-mass loss or for 120 min. Core temperature (Tc) was recorded continuously, the sweat rate (SR) was derived from nude body-mass change, and executive function (Stroop Interference) along with visuospatial working memory (Corsi Block-Tapping) were assessed pre- and post-exercise. Participants in the HYD group produced a higher SR (ΔSRmean +0.30 L·h⁻1, 95% CI 0.18-0.43; ΔSRpeak +0.34 L·h⁻1, 95% CI 0.04-0.63) and were more likely to reach 3% mass loss (10/16 vs. 1/14; p = 0.002). Despite greater sudomotor output, early Tc burden (0-90 min) did not differ between groups. Hydration status selectively affected executive control: Stroop naming interference showed a time × status interaction (F(1,27) = 4.57, p = 0.042), driven by slowing in HYP participants (≈+63 ms, p = 0.029), whereas Corsi indices were unchanged. These findings support targeting euhydration before prolonged exercise (e.g., morning USG <1.018), as inadequate baseline hydration may impair inhibitory control even when early Tc responses are comparable. Accordingly, for training or competition requiring rapid decision-making and attentional control, pre-exercise hydration strategies (planned fluid intake and/or USG-based monitoring) may be warranted to mitigate decrements in executive function.

An ability to generate high values of the rate of force development (RFD) in the lower limbs in specific time points seems to be essential in karate, because the time of striking actions is shorter than the time, which is necessary to generate maximal muscular power. The aim of this study was to evaluate the acute impact of a simulated karate on the bilateral and lateral RFD performance and inter-limb RFD asymmetry of the lower limbs in elite athletes of different age categories and to indicate the time slot in which athletes achieve peak RFD performance. 61 elite kumite athletes participated in this study, which included a randomized crossover study design. The isometric mid-thigh pull test was used to evaluate athlete’s RDF profile of the lower limbs. Statistical analysis did not confirm the acute impact of the simulated karate bout on the RFD performance according to the analyzed lower extremities in the studied groups (p > 0.05), excluding some statistically significant effects in the RFD at 200 ms. The peak RFD values were reported mainly in the 150 ms. The simulated kumite bout seems to elicit acute improvements in the bilateral and lateral peak RFD performance in the lower extremities due to a possible PAPE effect. The inter-limb RFD profile seems to be associated with age-related differences as a tendency to generate higher RFD performance in the DLL was reported in younger athletes (U16), while an opposite effect tended to occur in U18 and senior groups.

This study identified key physiological, biomechanical, and strength-related predictors of competitive performance in elite female race walkers and evaluated the effectiveness of classical and machine-learning models for individualized training optimization. Thirty nationally ranked female race walkers (25 ± 3 years) were assessed over four seasons (2021–2024). Laboratory and field tests included ergospirometry (VO2max, VCO2, VE (minute ventilation), respiratory exchange ratio (RER)), blood lactate (LA), heart rate (HR), gait kinematics (step length, speed), and lower-limb strength (1RM, maximal power). Temporal and seasonal dynamics were evaluated using Kruskal–Wallis and g-Fisher tests. Predictive models included multiple regression, polynomial regression, multilayer perceptron (MLP), and radial basis function (RBF) networks, developed with correlation-vector analysis (R0, R1), collinearity diagnostics, and interaction terms. The most influential predictors were HR, step length, VO2max, and 1RM (R0 > 0.70). RBF achieved the best predictive accuracy (R2 = 0.89; RMSE = 0.28), outperforming MLP (R2 = 0.87) and regression baselines (R2 = 0.61–0.81). Significant seasonal variation (p < 0.001) underscored the value of time-dependent modeling. Conclusion: RBF neural networks offer superior performance for predicting race-walking outcomes; HR and step length are key real-time indicators, whereas VO2max and 1RM inform longer-term adaptation.

This study examined long-term neuromuscular and multidirectional speed development in elite youth badminton players and evaluated whether developmental stage influences adaptation trajectories during systematic training. Thirty athletes were monitored over 16 months with repeated assessments at five time points and stratified into Younger (8–14 years) and Older (15–22 years) developmental groups. A comprehensive test battery assessed explosive strength, reactive strength, musculotendinous stiffness, and badminton-specific multidirectional speed. Data acquisition was performed using a multi-sensor approach, including force-platform-based jump analysis, accelerometry-based systems, and electronic timing gates, enabling the objective, high-resolution, and repeatable monitoring of neuromuscular performance. Significant time effects were observed across all sensor-derived performance variables (p < 0.001), indicating robust improvements in speed, power, and neuromuscular efficiency. Adaptation trajectories were predominantly linear, with no evidence of performance plateauing. Although older athletes maintained higher absolute performance levels, Time × Group interactions were largely absent, demonstrating parallel improvement rates across developmental stages rather than a catch-up effect in younger players. Linear mixed models confirmed equivalent improvement slopes despite baseline differences, and adjustment for body mass attenuated but did not eliminate age-group differences in jump performance. Exploratory analyses revealed substantial inter-individual variability, identifying responder phenotypes independent of age. These findings indicate that systematically progressed training supports sustained, linear neuromuscular adaptation across youth badminton development and highlight the importance of long-term, individualized monitoring over age-based expectations of accelerated responsiveness.

BACKGROUND/OBJECTIVES:Low-carbohydrate (LCD) and ketogenic diets (KD) are increasingly adopted by athletes due to their ability to enhance fat oxidation and induce metabolic adaptations. While their effects on aerobic power and capacity have been widely investigated, their influence on anaerobic performance remains unclear. Given the strong dependence of high-intensity exercise on glycolytic metabolism and muscle glycogen availability, carbohydrate restriction may have significant implications for short-duration maximal efforts and repeated high-intensity exercise. Therefore, this systematic review and meta-analysis aimed to evaluate the effects of LCD and KD on anaerobic performance outcomes in trained athletes. METHODS:A comprehensive search of five electronic databases (PubMed, SCOPUS, Web of Science, SPORTDiscus, and Cochrane Central Register of Controlled Trials) identified 13 unique studies (yielding 15 study-level entries across three anaerobic performance domains) meeting comprehensive inclusion criteria. Individual study sample sizes ranged from n = 5 to n = 65 participants, reflecting substantial inter-study variability that should be considered when interpreting pooled estimates. Outcomes included peak and mean power output, repeated sprint performance, blood lactate responses, and markers of substrate utilization. Study quality was assessed using the Newcastle-Ottawa Scale, and meta-analyses were performed using random-effects models where appropriate. RESULTS:Overall, the effects of carbohydrate-restricted diets on anaerobic performance were domain-specific. Some studies reported maintained or slightly improved peak power during single maximal efforts, while others showed no effect. Impairments were more consistently observed in repeated high-intensity exercise. Repeated sprint performance was impaired in several studies, likely reflecting reduced muscle glycogen availability and limited glycolytic ATP production. Carbohydrate restriction consistently increased fat oxidation and was associated with lower blood lactate concentrations during high-intensity exercise. Random-effects meta-analyses yielded domain-specific pooled effect sizes: maintained-to-slightly-improved anaerobic power output (Cohen's d = +0.29; 95% CI: -0.08 to +0.66), modestly impaired repeated sprint ability (d = -0.33; 95% CI: -0.80 to +0.14), and a large, consistent reduction in blood lactate concentration (d = -0.89; 95% CI: -1.20 to -0.58). Given substantial between-study heterogeneity in intervention durations (2 days to 12 weeks), dietary composition, athlete populations, and outcome measures (1RM, Wingate, CMJ within the power domain; varied protocols within the RSA and lactate domains), these pooled estimates should be interpreted as exploratory rather than confirmatory. CONCLUSIONS:LCD and KD appear to have domain-specific effects on anaerobic performance in trained athletes. Although single, short-duration efforts may be preserved in some contexts, repeated, high-intensity performance appears to be more susceptible to impairment. These findings highlight the importance of aligning dietary strategies with the metabolic demands of training and competition.

The aim of this meta-analysis was to synthesize current evidence on inter-limb asymmetries in youth athletes and to determine their magnitude, developmental determinants, and functional relevance. The review followed PRISMA 2020 guidelines, and the protocol was registered in PROSPERO. Six databases were searched from inception to October 2025. Studies assessing asymmetry as a between-limb difference in athletes aged 6-18 years were included. A total of 25 studies (N = 4125) were included qualitatively, with 24 included in the quantitative analyses. Meta-analyses were conducted for comparable outcomes (single-leg countermovement jump [SLCMJ], change of direction speed [COD], association with sprint performance, and maturation effects) using random-effects models and heterogeneity assessment (I2, τ2). Mean asymmetry was 10.8% for SLCMJ (95% CI: 6.7-14.9; I2 = 78%) and 7.4% for COD (95% CI: 0.5-14.2; I2 = 64%). The association between asymmetry and sprint performance was small and not statistically significant (r = -0.27; 95% CI: -0.55 to 0.07). Maturation analysis showed a moderate effect (d = 0.35; 95% CI: 0.18-0.52), with peak asymmetry around peak height velocity (PHV). Heterogeneity was mainly explained by sport-specific demands and methodological differences. Asymmetries of approximately 10% are commonly observed in youth athletes in single-leg jump and change of direction tests, but their clinical relevance likely depends on sport-specific demands, maturation status, and testing modality, and should not be interpreted as a universal normative threshold. The lack of prospective injury data prevents the establishment of universal clinical thresholds. In conclusion, inter-limb asymmetries are common and developmentally dynamic in youth athletes, with functional relevance depending on biological and sport-specific context. Future research should prioritize methodological standardization and prospective designs.

The study aimed to determine the influence of functional asymmetry on the kinematic parameters of the 50 m run and its significance in shaping maximum speed in sprinters at various sports levels. The analysis included 18 Polish sprinters (elite: ≤ 10.40 s, sub-elite: ≤ 11.10 s per 100 m) who performed four 50 m runs with 5-minute breaks. Kinematic parameters were recorded using the OptoJumpNEXT system and WittyGate photocells. The fastest and slowest run of each athlete was selected for analysis. The results showed that kinematic asymmetry has a significant impact on sprint performance. Elite sprinters had less asymmetry in stride length, frequency, and ground contact time, which correlated with better results. The key findings indicate that in the acceleration phase (0-20 m), stride length and contact time symmetry were crucial, while in the maximal speed phase (20-50 m), the symmetry of stride frequency was important. A higher sports level was associated with a more optimized running technique, as evidenced by lower kinematic asymmetry. The results suggest that minimizing kinematic asymmetry may be a crucial factor in optimizing the sprinting technique and enhancing performance, offering practical insights for coaches and athletes and empowering them to make informed decisions in their training programs.

Sports injuries are a significant concern for both professional and recreational athletes, influencing performance, longevity, and rehabilitation outcomes. While external factors such as biomechanics and workload management have been extensively studied, emerging research highlights the role of genetic predispositions in injury susceptibility. This systematic review and meta-analysis consolidated findings from 24 studies examining the association between genetic polymorphisms and sports-related injuries, with a focus on musculoskeletal tissue integrity, muscle function, and inflammatory response. The analysis identified key genetic markers, including COL1A1, COL5A1, and ACTN3, associated with ligament and tendon injuries, as well as the impact of cytokine gene variants (IL-6, TNF-α) on recovery processes. The pooled odds ratio suggested a significantly increased risk of injury among individuals carrying specific genetic variants. Subgroup analyses further revealed gene-specific effects on the injury type and athlete classification. Despite these insights, gene-environment interactions and methodological variability remain challenges in fully elucidating genetic contributions to injury risk. The findings underscore the potential for personalized injury prevention strategies based on genetic screening, enhancing both sports performance and rehabilitation efficiency.

Background: Sleep plays an important role in athletic performance, recovery, and cognitive function. The aim of this study was to compare sleep quality and selected sleep-related variables in combat sports athletes and athletes from other sport disciplines . Materials and Methods: Ninety-eight competitive athletes participated in the study, including 52 combat sports athletes and 46 athletes representing other sport disciplines. Sleep quality was assessed using the modified Pittsburgh Sleep Quality Index (PSQI) with a weekly recall period, global PSQI score and additional variables, such as sleep duration, sleep latency, and habitual sleep-wake times, were analyzed using general linear models adjusted for age and sex. Results: No significant differences were observed between combat sports athletes and athletes from other sports in PSQI global scores, sleep duration, sleep latency, or sleep-wake times after adjusting for age and sex. Older athletes demonstrated higher PSQI scores, earlier bedtimes and wake times, and shorter sleep duration. A significant proportion of athletes demonstrated reduced sleep quality (PSQI > 5), with approximately one-quarter sleeping less than 7 hours per night. Conclusions: These results suggest that combat sports participation alone may not be an independent factor in poorer sleep quality. Sleep disorders appear to be a broader problem among competitive athletes, highlighting the importance of regular sleep monitoring and recovery strategies in the athletic population.

The purpose of this study was to examine sex differences in upper-limb neuromuscular performance in competitive volleyball players across task-specific shoulder positions. Twenty-four athletes (12 males, 12 females) competing at the national level participated in the study. Upper-limb neuromuscular performance was assessed using the Athletic Shoulder (ASH) test performed in three positions (I, Y, and T). Peak force, rate of force development (RFD), and time to peak force were analyzed. A significant main effect of test position and a Test × Sex interaction were observed for peak force (p < 0.05), with males demonstrating higher values than females across all positions. In contrast, no significant sex differences or interaction effects were found for RFD (p > 0.05). For time to peak force, no main effect of test position or interaction was observed; however, post hoc comparisons indicated higher values in males across individual positions. No significant inter-limb differences were detected for any variable. These findings suggest that sex-related differences in upper-limb neuromuscular performance may depend on the specific variable and shoulder position assessed. The results provide preliminary insight into sex-related characteristics of shoulder neuromuscular performance in volleyball players. However, given the cross-sectional design and limited sample size, the findings should be interpreted with caution and cannot be generalized beyond the studied population. Further research is needed to confirm these observations and to explore their potential relevance in applied settings.

The main goal of this study was to determine whether the type of spike can influence the final sprint result by comparing step by step the kinematics of four 50-m sprints. Twelve well-trained junior sprinters (ages 17–19) from the Polish National Team (ranging from 100 to 400 m) participated in the study, with personal bests in the 100-m sprint of 10.70 ± 0.19 s. The OptoJump Next-Microgate sensor measurement system (Optojump, Bolzano, Italy) was used to measure the essential kinematic sprinting variables. Following the sprint distance, photocells were placed on the track at the start, at 10 m, at 20 m, at 30 m, and at the finish (50 m). Fifty-meter sprints were completed alternately, two with classic and two with the carbon-plated spikes. For every sprinter, the order in which the spikes were chosen was randomized. To better understand the problem of variability in kinematic parameters, in addition to the actual statistics, the profile analysis process was applied. The analysis of the four 50 m sprints did not show significant differences between the kinematic parameters considering runs in both the classic Nike and carbon-plated Nike ZoomX Flymax spikes. It may be suggested that spikes’ sole bending stiffness may not affect short-distance (up to 50–60 m) sprinting performance. From a practical point of view, training focused on maximum speed development can be carried out with both classic and carbon-plated spikes. Finally, our experiment can guide the preparation of a research methodology that assesses the effect of carbon-plated spikes on prolonged sprinting, e.g., 200–400 m.

The study aimed to compare the effectiveness of two resistance training load progression methods-linear and step-on peak torque and power of knee extensors and flexors during the preseason of a Polish First League soccer team across two seasons. Differences between dominant and non-dominant limbs were analyzed, with progression tracked by tempo of movement and time under tension. Velocity-based training with a linear transducer ensured standardized intensity. Sixteen players from the same club participated in both seasons: 2021/2022 (linear) and 2022/2023 (step). Three-way ANOVA showed a significant leg × training × mesocycle interaction in the knee extensor and flexor peak torque. The post hoc test showed significant differences in peak torque between the dominant and nondominant legs during both progressive load methods - 2021/2022 and 2022/2023 seasons, both before and after the training intervention (p < 0.05). Knee extensors: The dominant leg showed higher values ​​compared to the non-dominant leg. However, there were no significant differences during the 2022/2023 season (p > 0.05). Knee flexors: No difference in peak torque values ​​between the dominant and non-dominant legs before the training intervention - 2022/2023 season. The conducted studies clearly indicate a greater effectiveness of the step load progression, however it also significantly affected bilateral asymmetry.

Background: Repeated short maximal sprints induce high blood lactate concentrations and may influence neuromuscular coordination, but the relationship between lactate accumulation and inter-limb asymmetry in elite athletes remains unclear. Objectives: This study sought to investigate how blood lactate dynamics during repeated sprint efforts relate to sprint performance and inter-limb muscle asymmetry in elite female sprinters. Methods: Eight elite women (21.3 ± 5.4 y; 54.2 ± 5.1 kg; 165.4 ± 4.3 cm) performed four sets of five all-out 50 m sprints (1 min rest between reps; 5 min between sets). Sprint times were electronically timed. Capillary lactate was measured at rest and 1 min/4 min post-set. Quadricep, hamstring, and gluteal asymmetry was assessed via textile electromyography. Nonparametric statistics (Spearman’s ρ, Friedman test) were applied. Results: From Set 1 to Set 4, sprint time fell from 7.25 ± 0.13 s to 7.07 ± 0.16 s (p = 0.044), 1 min lactate rose from 8.51 ± 2.65 to 15.60 ± 2.66 mmol/L (p < 0.001), and 4 min lactate from 7.16 ± 2.32 to 13.64 ± 2.76 mmol/L (p = 0.002). Muscle group asymmetries decreased (p < 0.01), with lactate at 1 min, correlating negatively with quadriceps (ρ = −0.59) and gluteal (ρ = −0.48) asymmetry. Conclusions: In elite female sprinters, progressive lactate accumulation during repeated 50 m bouts is linked to faster times and reduced muscle asymmetry, suggesting that lactate may enhance neuromuscular coordination under fatigue.

This systematic review and meta-analysis investigates the application of artificial intelligence (AI) in sports performance analysis. Sixteen peer-reviewed studies spanning 13 distinct sports disciplines were included, employing a variety of AI techniques—from classical machine learning algorithms to advanced deep learning and computer vision models. Methods applied encompassed Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, reinforcement learning, and predictive modeling architectures. The pooled average classification accuracy was 87.78% (95% CI: 82.66–92.90), although substantial heterogeneity was observed across studies (I2 = 93.75%). Computer vision and deep learning-based approaches were associated with higher performance metrics in several studies, particularly in movement-intensive sports such as tennis and basketball. Nevertheless, several challenges were identified, including lack of standardization in model evaluation, limited algorithmic transparency, and difficulties in generalizing findings from controlled laboratory environments to real-world competitive settings. The results underscore the promising role of AI in optimizing training protocols, supporting tactical decisions, and enhancing injury prevention strategies. Further research is warranted to address the ethical, methodological, and practical considerations surrounding the deployment of AI in sports contexts.

The primary aim of this study was to determine whether the significant improvements in 100 m-meter sprint times over the past 40 years are the result of an overall enhancement in performance among all elite sprinters, or are mainly driven by the sporadic emergence of exceptionally talented individuals. Additionally, we compared the average age of the semifinalists with that of the champion. To explore this broader research question, we compared the average performance times and ages of World Championship semifinalists with those of the champions over successive 2-year intervals. This approach allowed us to ascertain whether there has been a consistent improvement in average performances among elite sprinters or whether progress is mainly due to extraordinary athletes who occasionally set new records. By analyzing these patterns, we aimed to understand the underlying factors contributing to advancements in sprint performance and to assess whether these improvements are widespread or concentrated among a few exceptional individuals. Finally, we analyzed the relationship between age and 100 m-meter performance and predicted the results of semifinalists and winners at the Athletics World Championships in 2025 and 2027, for both men and women. The results obtained suggest that progress in sprinting, in both sexes, depends on the emergence of exceptionally talented individuals who set new world records or achieve world-leading times during the main competitions of the season. These exceptionally talented athletes have improved the winning times in the main 100 m-meter competitions, while the average times of semifinalists at the Athletics World Championships have remained relatively constant, ranging between 10.40 and 10.50 seconds over the analyzed 40-year period.

Background: This study aimed to examine the effects of an 8-week plyometric training program on lower-limb explosive strength, jump performance, musculotendinous stiffness, reactive strength index (RSI), and multidirectional speed in elite Polish badminton players. Methods: Twenty-four athletes were randomly assigned to either an experimental group (n = 15), which supplemented their regular badminton training with plyometric exercises, or a control group (n = 15), which continued standard technical training. Performance assessments included squat jump (SJ), countermovement jump (CMJ), single-leg jumps, sprint tests (5 m, 10 m), lateral movements, musculotendinous stiffness, and RSI measurements. Results: The experimental group showed statistically significant improvements in jump height, power output, stiffness, and 10 m sprint and lateral slide-step performance (p < 0.05), with large effect sizes. No significant changes were observed in the control group. Single-leg jump improvements suggested potential benefits for addressing lower-limb asymmetries. Conclusions: An 8-week plyometric intervention significantly enhanced lower-limb explosive performance and multidirectional movement capabilities in young badminton players. These findings support the integration of targeted plyometric training into regular training programs to optimize physical performance, improve movement efficiency, and potentially reduce injury risk in high-intensity racket sports.

This study aimed to compare the acute biomechanical effects of three distinct sprint-specific priming strategies - resisted sprinting, assisted sprinting (i.e., overspeed), and technical wicket drills - on neuromechanical performance during 50-m sprint trials in elite youth sprinters. Twelve nationally ranked female youth sprinters (17.3 ± 0.8 years) participated in a randomized, repeated-measures protocol. Each athlete performed baseline 50-m maximal sprints, followed by three separate priming interventions, with performance re-evaluated at 24 h and 48 h post-activation. Key outcome measures included 50-m sprint time, reactive strength index (RSI), ground contact time (GCT), flight time (FT), step length, step frequency, duty factor, and asymmetry metrics. Data were analyzed using repeated-measures ANOVA, principal component analysis (PCA), k-means clustering, and machine learning classifiers. Assisted sprinting produced the greatest improvements in RSI (+0.13) and the largest reductions in GCT (-16 ms) at 48 h post-activation (p < 0.001). Resisted sprinting significantly increased step length (+0.09 m), while technical drills improved interlimb asymmetry and mediolateral control. PCA revealed two primary adaptation domains: PC1 (RSI, GCT, FT) and PC2 (interlimb asymmetry, mediolateral sway, and step frequency). Machine learning models (AUC = 0.83-0.85) identified the priming strategy, baseline asymmetry, and step frequency as the strongest predictors of ≥ 10% improvement in RSI. Sprint priming strategies elicited distinct neuromechanical responses that can be assessed during 50-m sprint trials. The overspeed protocol most effectively enhances force-time capacity and sprint performance, whereas technical drills primarily improve coordination. Integrating multivariate modeling facilitates the individualized prescription of priming protocols, offering a flexible and evidence-based approach to sprint optimization and athlete development.

This study presents a longitudinal analysis and predictive modeling of elite sprint performance trends from 1976 to 2035, based on a database of over 2,500 results from top 10 male and female finishers in the 100-m, 200-m, and 400-m events. Using regression analysis and time series models, including ARIMA and SARIMA, the study evaluated historical trajectories and predictions, accounting for seasonal effects related to Olympic-year cycles. Results indicated a significant long-term improvement in sprint performances, with the most rapid gains occurring before the year 2000. However, the rate of progress slowed, particularly in the 100-m and 400-m events, suggesting physiological limits may be approaching. ARIMA models predicted marginal improvements by 2035, with projected best times of approximately 10.67 s for women and 9.63 s for men in the 100-m event. Regression models, despite showing strong fits (R2 > 0.85), tended to overestimate future performance gains compared to ARIMA, particularly in the speed-endurance-dominated 400-m sprint. Comparative model assessments demonstrated that ARIMA provided superior predictive accuracy, better capturing historical variability and Olympic-cycle peaks. Practical implications suggested that future sprint performance gains would depend more on advancements in biomechanics, individualized training optimization, and sports technology, rather than on natural physiological improvements alone. This study highlights the necessity for integrating machine learning-based forecasting, biomechanical modeling, and strategic periodization to maximize sprinting potential in the coming decades.

This study examined the effects of motorized resisted sprint training (RST) on neuromuscular activation and sprint performance in elite female sprinters. Ten highly trained athletes (age: 23 ± 2.8 years; body mass: 58.3 ± 4.7 kg) performed two maximal 30 m unresisted sprints and six resisted sprints under three different load conditions (i.e., 5%, 10%, and 15% of body mass [BM]), randomized in a counterbalanced design. Surface electromyography (EMG) of eight lower-limb muscles was recorded bilaterally using wearable EMG-integrated shorts. Sprint times were captured using dual-beam photocells, and motorized resistance was applied with the SPRINT 1080 device. Repeated-measures ANOVA revealed a significant load-dependent effect on sprint time (p < 0.001, η2 = 0.926), with performance decreasing as resistance increased. However, no significant changes were observed in most muscle groups across load conditions, except for a non-significant trend toward increased left gluteus maximus activity (p = 0.053, η2 = 0.136). Interestingly, greater inter-individual variability in both sprint performance and muscle activation was observed as external loads increased. These findings suggest that elite female sprinters maintain highly stable neuromuscular recruitment patterns, particularly in the quadriceps and hamstrings, when sprinting with external loads up to 15% BM, potentially reflecting a ceiling effect in their neuromuscular responsiveness. From a practical perspective, light-to-moderate RST may effectively stimulate posterior chain muscles without disrupting sprinting mechanics. Future longitudinal studies are warranted to explore the chronic adaptations to motorized RST and to determine whether the observed neuromuscular strategies are consistent across sexes.