This study explores the association of respiratory muscle strength with aerobic endurance kinetics among athletes, with a specific focus on maximal oxygen consumption (VO₂max). Previous research has elucidated the complex interactions between respiratory and skeletal muscles during exercise, highlighting the critical role of efficient respiration in maximizing athletic performance. The interplay between active skeletal muscles and respiratory muscles, especially the influence of respiratory muscle fatigue on exercise capacity, is well-documented. High-intensity exercise has been shown to activate the respiratory muscle metaboreflex, which can restrict blood flow to working muscles, thereby impacting the energy required for respiration. A total of 41 athletes, drawn from the disciplines of biathlon, judo, and cross-country, participated in this study. Respiratory function tests (RFTs) were administered to assess various respiratory parameters, including changes in chest circumference. Additionally, maximal oxygen consumption (VO₂max) and heart rate were measured during a treadmill test. To explore the associations between VO2max and ventilatory parameters—namely, ventilation (VE), oxygen consumption (VO₂), carbon dioxide production (VCO₂)—as well as respiratory metrics, linear regression analysis was employed. Based on the standardized regression coefficients (β), it was found that maximum expiratory pressure (MEP) (mean ± SD: 130.95 ± 42.82) and inspiratory diaphragmatic circumference values were significantly associated with VE, VO₂, and VCO₂. Conversely, the other predictor variables did not exhibit a significant effect on VE (mean ± SD: 134.80 ± 36.69), VO₂ (mean ± SD: 3877.52 ± 868.47 mL), and VCO₂ (mean ± SD: 4301.27 ± 1001.07 mL). Similarly, measurements of chest circumference (mean ± SD: 91.40 ± 10.72 cm), MEP, and diaphragmatic circumference during inspiration (mean ± SD: 95.20 ± 10.21 cm) were significantly associated with VO₂max (mean ± SD: 58.52 ± 10.74 mL/kg/min), while the remaining predictor variables did not demonstrate a significant effect on VO₂max. Additionally, a multiple linear regression analysis was conducted to examine the combined effects of respiratory muscle strength and ventilatory factors on VO₂max. The model, which included interaction terms, explained 89.9% of the variance in VO₂max (R² = 0.899, adjusted R² = 0.859). Significant interactions were found between MIP and VE (B = −0.084, p = 0.006), as well as MEP and VE (B = 0.072, p = 0.012). These findings suggest that respiratory muscle strength plays a more substantial role in determining VO₂max in individuals with higher ventilatory efficiency, highlighting the importance of both respiratory strength and breathing efficiency in aerobic performance. Our findings underscore the importance of considering respiratory muscle strength in assessing and enhancing athletes’ aerobic performance. Integrating objective measurements such as maximal inspiratory and expiratory pressure assessments into routine performance evaluations allows coaches and sports scientists to monitor changes in respiratory function over time and adjust training protocols accordingly.

The aim of the current study was to determine whether the rs17602729 polymorphism in the Adenosine monophosphate deaminase-1 (AMPD1) gene is related to elite athlete performance. A total of 60 elite athletes, aged 18–35, who were split into two groups—31 sprinters/power athletes and 29 endurance athletes—as well as 20 control/sedentary individuals, willingly participated in the study. The performance levels of the athletes, based on their personal bests (PBs), were rated using the World Athletics (WA) score. Whole exome sequencing (WES) was performed on the genomic DNA that was extracted from the subjects’ blood samples. Using linear regression models, the study sought to determine the relationship between the athletes’ PB, sex, and sport type and the rs17602729 polymorphism both within and between the groups. The distribution of the GG, GA, and AA genotypes of the rs17602729 polymorphism differed significantly within and between the groups, according to the data (p < 0.05). Nonetheless, no statistically significant variations were observed in the correlation between the athletes’ PBs and the rs17602729 polymorphism among the groups (p > 0.05). In conclusion, the G allele of the ADMP1 rs17602729 polymorphism appears to provide a benefit to sprinters and power athletes. Nonetheless, to confirm this hypothesis, additional research with more participants and a multi-genetic analysis approach is required.

The study aimed to investigate the impacts of Bosu training on the development of static and dynamic balance in male basketball players aged 14-16 years who play actively in basketball clubs in Bingöl and train more than 7 hours weekly according to a training schedule. The study included 30 basketball players, 15 in the control group and 15 in the experimental group. The experimental group attended 30 minutes of Bosu training in addition to basketball training for 8 weeks. Anthropometric measurements, such as height, weight, BMI, and static and dynamic balance measurements, were taken before and after the training period. The data were analysed using the SPSS package. The distribution of the pre-test and post-test data was examined for each group. Normality of the data distribution and homogeneity of variances were checked using the Mauchly sphericity test and the Levene test. Then, the dependent variables within each group were compared using the paired-sample t-test. The study used a p-value of less than 0.05 to assess the significance of the results. The mean values of height, weight, and BMI of the experimental group after the 8-week Bosu training program showed no significant difference (p>0.05). The analysis results regarding the Bosu training program's static and dynamic balance measurements yielded a statistically significant difference between the pre- and post-test comparisons of the experimental group for most of the static and dynamic balance variables (p0.05). It was concluded that Bosu training can positively contribute to the improvement of static and dynamic balance in young basketball players.

This study aimed to investigate the impact of an 8-week hemsball training on the development of balance and punto (approaching the target) performance in athletes aged 12-14 who play boccia in Bingöl province teams and train for more than 7 hours per week. The sample consisted of athletes who met the aforementioned criteria. The study involved 30 athletes, with 15 in the control group and 15 in the experimental group, who voluntarily played boccia. The experimental group received 60 minutes of hemsball training followed by boccia training, while the control group only received boccia training. Anthropometric measurements, including height, body weight, and BMI, as well as measurements of static and dynamic balance and punto (approach to target) scores, were taken before and after the 8-week exercise period. The data was evaluated using the SPSS 25 package program. The pre-test and post-test distributions of the study data were examined for each group, and normality and homogeneity of variances were determined using the Mauchly Sphericity Test and Levene test. Based on the test results, the dependent variables within each group were compared using the Paired-Sample T-test. The significance of the results was evaluated at a p-value of less than 0.05. The study found no significant difference in the mean values of height, body weight, and BMI of the experimental group after the 8-week hemsball training program (p>0.05). According to the data analysis results regarding the static and dynamic balance measurements of the hemsball training application, a significant difference at the p<0.05 level was found in the pre-test and post-test comparisons of the experimental group in the majority of the static and dynamic balance variables. No statistical difference was found in the control group and the between-group comparisons. According to the data analysis results regarding the Punto score measurements, a significant difference at the p<0.05 level was found in the pre and post-test comparisons of the experimental group in the punto score variable. No difference was found for the control group. Similarly, no statistical difference was observed between the groups. As a result, it can be concluded that training with hemsball has a positive effect on the performance of young boccia athletes in static and dynamic balance and the punto score.

The objective of this study was to investigate the impact of athletes' respiratory muscle strength, as assessed through maximal inspiratory (MIP) and expiratory pressure (MEP), on aerobic endurance, as indicated by maximal oxygen consump-tion (Max VO2) kinetics. Respiratory muscle strength was assessed using a digital spirometer (Pony FX Cosmed, Italy), while maximal oxygen utilization capacity was measured using a breath-by-breath automatic portable gas analysis system (Cosmed K5, Italy). Statistical analysis was conducted utilizing SPSS 22.0. Based on the standardized regression coefficients (β), it was found that MEP (mean ± SD: 130.95 ± 42.82) and inspiratory diaphragmatic circumference values significantly influenced ventilatory equivalent (VE), oxygen consumption (VO2), and carbon dioxide pro-duction (VCO2). Conversely, the remaining predictor variables did not exhibit a sig-nificant effect on VE (mean ± SD: 134.80 ± 36.69), VO2 (mean ± SD: 3877.52 ± 868.47 ml), and VCO2 (mean ± SD: 4301.27 ± 1001.07 ml). In contrast, measurements of chest circumference (mean ± SD: 91.40 ± 10.72 cm), MEP, and diaphragmatic cir-cumference during inspiration (mean ± SD: 95.20 ± 10.21 cm) were found to signifi-cantly impact Max VO2 (mean ± SD: 58.52 ± 10.74 ml/kg/min), while the other pre-dictor variables did not demonstrate a significant effect on Max VO2. Conclusively, the study revealed that measured values of diaphragmatic circumference during inspiration and MEP exerted a notable influence on Max VO2, VE, VO2, and VCO2. Our findings underscore the importance of considering respiratory muscle strength in assessing and enhancing athletes' aerobic performance. These insights contribute to a deeper understanding of the interplay between respiratory function and exercise capacity, offering potential avenues for optimizing training regimens and perfor-mance outcomes in athletic contexts.

The study aimed to investigate the relationship between VO2max and FTP in female road cyclists with strength (right/left-hand grip, back, leg), flexibility, and anthropometric variables. Descriptive statistics are presented as median and interquartile range. The median values of the participants were as follows: height 158.5 cm, body weight 54.9 kg, body fat percentage 19.6%, and body muscle mass 41.5 kg. The participants’ leg strength was measured at 70 kg, while their back strength was found to be 50 kg. Their right-hand grip strength was 29.1 kg, and their left-hand grip strength was 29.6 kg. The participant's flexibility was measured at 32 cm. Their VO2max was found to be 58.2 ml/kg/min, with a VO2max pulse of 189 beats/min and a VO2max workload of 262 watts. During the FTP test, the participant's mean pulse rate was 181 beats/min, mean cadence was 83 rpm, mean workload was 184 watts, normalized power was 185 watts, and relative power was 3.1 watts/kg. The study found a moderate positive correlation between VO2max and back strength and a strong negative correlation with flexibility. Additionally, a strong positive relationship was observed between VO2max workload value and body muscle mass, as well as right- and left-hand grip strength. No relationship was found between VO2max HR, AnT VO2, AnT HR, and AnT workload. Furthermore, the study found a moderate positive correlation between FTP value and body muscle mass and a very strong positive correlation with calendar age. The study also found significant correlations between mean FTP cadence and body muscle mass, as well as between mean FTP workload and body muscle mass. Additionally, a very strong positive correlation was observed between mean FTP workload and calendar age. Finally, a strong negative correlation was found between FTP relative strength and flexibility. The study concluded that as the strength of the back muscles in the group increased, so did their VO2max and FTP values, along with an increase in body muscle mass. The results suggest that back strength and body muscle mass are important variables for the participants in the study.