Journal of Sports Medicine and Physical Fitness最新文献

Background: This study aimed to investigate the relationships between well-being, recovery state, game loads, and game performance across 20 official games involving 16 highly trained collegiate basketball players. Understanding how these factors interact is essential for optimizing performance and workload management in competitive basketball.

Methods: Principal component analysis (PCA) identified six key components contributing to performance: PC1 (loads) accounted for 50% of the total variance, PC2 (well-being) explained 11%, PC3 (jump) captured 8%, PC4 (high-intensity jump) explained 6%, while PC5 (recovery) and PC6 (PlayerLoad per minute) each explained 2%. Generalized linear mixed-effects models were applied to assess the associations between these components and key performance indicators, including Performance Index Rating (PIR) and Player Total Contribution (PTC).

Results: Game loads showed a negative association with PIR (β=-1.22, 95% CI=-2.33 to -0.12, P<0.05). In contrast, high-intensity jumps were positively associated with both PIR (β=1.08, 95% CI=0.39 to 1.77, P<0.01) and PTC (β=0.99, 95% CI=0.34 to 1.64, P<0.01), explaining 43.86% of the variance in PIR and 40.17% in PTC. The effects of well-being and recovery were limited.

Conclusions: High-intensity physical activities, particularly jumps, are crucial to enhancing basketball performance, while excessive game loads can negatively impact outcomes. The limited influence of well-being and recovery suggests that their effects may be more evident over longer periods or under different contexts. Future research should focus on optimizing the balance between game loads and high-intensity actions to improve performance.

Introduction: This systematic review with meta-analysis aimed to compare the effects of traditional exercise (using low-load resistance training (LLRT) with and without blood flow restriction (BFR)) on functional outcomes, pain levels, muscle strength, and range of motion (ROM) in patients with upper extremity disorders. The primary distinction between the experimental and control interventions lies in the application of blood flow restriction during the exercise protocol.

Evidence acquisition: Searches have been performed in the PubMed, Web of Science, Embase and Cochrane databases, together with the reference lists of randomized controlled trials (RCTs) up to March 2025. The participants in the RCTs were individuals with orthopedic abnormalities of the upper extremity arising from surgical intervention, trauma, or degenerative disorders, and the intervention was LLRT-BFR, as opposed to LLRT alone. The major focus was on assessing upper limb function and pain, with secondary considerations including muscle strength and ROM. The quality and reporting standards of the studies were evaluated via the TESTEX scale. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was conducted to verify the quality of evidence. The means and standard deviations (SDs) of the pre- and post-intervention data were extracted from each study. The means and SDs of the change scores were calculated, and these values were imported into Review Manager software (The Nordic Cochrane Collaboration) to compute the standardized mean difference (SMD) as the effect size.

Evidence synthesis: A systematic search across the aforementioned four databases initially identified 466 potentially relevant articles. Through a rigorous screening process, five articles that met the predefined inclusion criteria were ultimately selected for further analysis. These studies included 85 patients who underwent LLRT-BFR and 85 patients who received only LLRT. In patients with upper extremity dysfunction, the meta-analysis revealed significantly superior outcomes with LLRT-BFR compared with LLRT without BFR across multiple measures: pain reduction (SMD, 1.19; P=0.0002 [95% CI, 0.56-1.81]), functional improvement (SMD, 1.32; P=0.005 [95% CI, 0.39-2.24]), grip strength enhancement (SMD, 0.64; P=0.004 [95% CI, 0.20-1.07]), and radial flexion improvement (SMD, 0.81; P=0.003 [95% CI, 0.28--1.34]).

Conclusions: BFR combined with LLRT produced better outcomes than LLRT alone in terms of function, discomfort, grip strength, and wrist range of motion (ulnar deviation). For people with upper limb deficits, BFR combined with LLRT may have some potential as a complementary intervention, and further research is needed to establish its efficacy and safety, particularly in different patient populations.

Background: Physical activity (PA) has a direct influence on body composition, particularly in terms of lean body mass (LBM) and fat mass (FM). This study assesses how lifelong changes in PA impact body mass index (BMI) and body composition using data from NHANES (1999-2006) for adults aged 29 to 59 years.

Methods: Data were extracted from the National Health and Nutrition Examination Survey (1999-2006), including male and female participants aged 29-59. The cross-sectional analysis focused on the relationship between BMI and the fat mass index (FMI)/Lean Body Mass Index (LBMI) ratio, adjusted for height (ht). Multivariate linear regression models were adjusted for covariates and stratified by sex. All analyses were adjusted considering the sample weights.

Results: The analysis comprised 5115 participants, with 51.7% male and an average age of 42.8±0.13 years. The FMI/ht-LBMI ratio is approximately 0.4 for men and 0.7 for women. The results indicated that women had a mean BMI increase (β=1.9, 95% CI: 1.4-2.4) for every 0.1 increase in the FMI/ht-LBMI ratio, while men had a mean BMI increase (β=1.0, 95% CI: 0.7-1.4) (P<0.05), compared to those maintaining the same PA pattern over ten years. Additionally, factors such as socioeconomic status, race/ethnicity, and nutritional status at age 25 were found to significantly impact body composition outcomes.

Conclusions: In summary, long-term PA emerges as a modifier in population-level body composition. Individuals with a history of lower PA over the last decade showed a higher proportion of adipose tissue. In this way, the importance of maintaining substantial levels of PA throughout life is emphasized, contributing positively to body composition.

Background: Football injuries pose substantial risks to player health, team performance, and club finances. Although injury prevention is a key priority, most epidemiological studies focus on short-term data from international tournaments or clubs outside Germany. This study aimed to examine the injury epidemiology in German elite men's football through a long-term analysis of a single club competing in both top national leagues.

Methods: A professional German football team was prospectively observed over eight consecutive seasons, with four seasons played in the first division and four in the second. Injury incidence and associated time loss were analyzed using Poisson regression.

Results: A total of 357 match injuries and 625 training injuries were recorded. Injury incidence did not significantly differ between the first and second division, either for match play (79.0 vs. 80.8 injuries per 1000 match hours, P=0.83) or training (8.7 vs. 9.2 injuries per 1000 training hours, P=0.49). However, average time loss was significantly greater in the first division for both training injuries (70 vs. 49 days per 1000 training hours, P<0.01) and match injuries (653 vs. 596 days per 1000 match hours, P=0.017).

Conclusions: Although injury incidence was comparable between the two top German divisions, injuries sustained in the first division led to significantly greater time loss. These findings highlight the importance of addressing not only the frequency but also the severity of injuries in elite football injury prevention strategies.

Background: Adductor-related groin pain syndrome (ARGPS) is a common overuse injury encountered in sports requiring quick accelerations and decelerations, changes of direction and kicking. If conservative treatment fails, ARGPS can be surgically treated with adductor longus tenotomy (ALT). Four types of ALT are described in literature: two are different types of partial tenotomy (PT1 and PT2) and two are two different types of total tenotomy (TT1 and TT2). The aim of this study was to compare these four different types of ALT in athletic populations affected by ARGPS.

Methods: In this retrospective study (level of evidence IV), four study groups of soccer players at different athletic levels were considered. G1 grouped 12 male patients subjected to partial ALT (PT1), G2 included 13 male patients subjected to partial ALT with a surgical technique (PT2) different to that employed in G1, G3 grouped 10 male patients subjected to total ALT (TT1) and G4 included 10 male patients subjected to total ALT with a different surgical technique (TT2) to G3.

Results: The percentage of subjects who resumed sporting activities and the return to play (RTP) times were respectively 83% and 7.5±3.8 months, 100% and 4.0±0.4 months, 100% and 3.1±0.5 months, 100% and 2.4±0.4 months for the study groups G1, G2, G3 and G4. The percentage of subjects that returned to sport was significantly lower (P<0.05) in G1 while the time for RTP was significantly lower (P<0.05) in G4.

Conclusions: Of all the surgical techniques employed in ALT, the TT2 surgical technique entails a lower complication rate and allows for the quickest RTP in athletic populations.

Background: Physical activity (PA) improves health and quality of life, while providing an effective coping strategy against burnout. This study assessed PA levels among medical students and junior doctors in Malta, exploring demographic differences and relationships with anxiety, energy drink/coffee consumption, and career progression, addressing a gap in the literature.

Methods: Two hundred twenty-nine participants (161 medical students; 68 foundation year doctors; mean age=22.90 years) completed an online questionnaire including demographic data, standardized measures of PA (GLTEQ) and anxiety (GAD-7) and questions on energy drink/coffee consumption and career progression.

Results: Results revealed a significant negative relationship between PA and age, rs(227)=-0.14, P=0.04. Males carried out more PA (OR=1.82, 95% CI, 1.12 to 2.94) than females (U=4671.00, z=-2.42, P=0.02); this gender difference in PA was present in medical students (P=0.01) not junior doctors (P=0.75). Male junior doctors were less anxious than females (U=319.00, z=-2.32, P=0.02); no significant gender difference in anxiety was revealed in medical students (P=0.76). No significant correlation was found between PA and anxiety (P=0.41) or energy drink consumption (P=0.81, 1.00). No difference in PA levels was revealed between medical students and junior doctors (P=0.09).

Conclusions: Further research is needed to compare PA levels between medical and general populations. The findings underscore the importance of including PA in medical curricula for students'/doctors' wellbeing and for effective lifestyle advice.

Background: Although high muscle oxygenation dynamics in active muscles are expected to decrease cardiac workload and ventilation associated with carbon dioxide excretion at an exercise at equivalent peak oxygen uptake (VO2) loads in the whole body, these relationships remain unclear. The aim of this study was to investigate whether high muscle oxygenation dynamics contribute to reduced cardiac workload and ventilation during exercise.

Methods: Twenty-three healthy young males were enrolled in this cross-sectional study and divided into two groups: the low muscle oxygenation dynamics group (N.=11) and the high muscle oxygenation dynamics group (N.=12), based on the change in muscle oxygen saturation (SmO2) in the right vastus lateralis from rest to peak VO2. All participants underwent cardiopulmonary exercise testing to assess the double product, cardiac workload, carbon dioxide production (VCO2), and expiratory minute volume as ventilation parameters associated with carbon dioxide excretion.

Results: Linear mixed-effect models with double product, VCO2/body mass or expiratory minute volume/body mass as the dependent variable, individual as random effects, and the group and metabolic equivalents (METs) as fixed effects revealed significant interactions between the group and METs (all P<0.001). Multiple comparison results demonstrated that the double product, VCO2/body mass at 5-8 METs, and expiratory minute volume/body mass at 6-8 METs were significantly lower in the group with high muscle oxygenation dynamics than in the group with low muscle oxygenation dynamics.

Conclusions: High muscle oxygenation dynamics contribute to reduced cardiac workload and ventilation associated with carbon dioxide excretion during exercise.

Background: Wearing a mandibular repositioning dental splint may enhance ventilatory function and exercise performance. We aim to analyze the performance and the biophysical effects of wearing an intraoral splint with mandibular repositioning when running until exhaustion at moderate intensity.

Methods: Sixteen trained male runners completed a crossover randomized controlled study to evaluate the effects of two intraoral splints (with and without mandibular forward repositioning) on performance, ventilatory and bioenergetic profiles during running until exhaustion at the velocity corresponding to the anaerobic threshold. Ventilatory variables were analyzed at different running time-points, and a paired samples t-test was employed to compare the experimental conditions across all evaluated variables.

Results: The splint with mandibular forward repositioning facilitated ~12% longer running than the splint without mandibular repositioning. Oxygen uptake was the sole ventilatory variable demonstrating a higher value across all the analyzed running time-points when the mandible was advanced (10^th min, 58.1±9.4 vs. 55.3±9.8; 10 min before the end, 57.7±8.7 vs. 55.3±9.1; and at the end of the exercise, 57.2±8.2 vs. 54.2±9.0 mL∙kg^-1∙min^-1; P≤0.05). The splint with mandibular forward repositioning also elicited a lower rate of perceived exertion (17.1±0.77 vs. 17.4±0.63, P=0.05) and higher aerobic contribution (2611±708 vs. 2212±640 kJ), overall energy spent (2633±708 vs. 2232±642 kJ) and exercise energy cost (0.28±0.05 vs. 0.26±0.05 kJ∙m-1, P≤0.005).

Conclusions: The mandibular forward repositioning elicited a marked improvement in moderate intensity performance, with beneficial physiological and perceived effects.

Background: Exercise intensity is commonly determined using maximal heart rate and maximal oxygen uptake. However, blood lactate levels at different exercise intensities are considered more sensitive biomarkers of endurance performance than maximal oxygen uptake. This study evaluated the validity of exercise intensity determined by blood lactate levels during running and determine the dynamics of blood glucose and β-hydroxybutyrate levels during high- and low-intensity running exercise.

Methods: Exercise intensities for 12 participants were determined using the lactate curve test. Each participant performed four running tests: low-intensity 30-min, high-intensity 30-min, and low-intensity 60-min running, and no-running (control) tests, with intervals of 1 day to 2 weeks. Blood glucose and β-hydroxybutyrate levels were measured using fingertip puncture blood sampling before and every 30 min (up to 240 min) after the start of running.

Results: Blood glucose levels increased significantly immediately after high-intensity 30-min running test compared to the 0-time point. Blood glucose levels decreased to similar levels as that in the 0-min time point 30 min after the 30-min running test. β-hydroxybutyrate levels increased significantly every 30 min after the 150-min time point compared to the levels in the 0-min time point in the high-intensity 30-min and low-intensity 60-min running tests.

Conclusions: Using blood lactate measurements obtained from a simple device, we established high-intensity exercise conditions producing transient post-exercise blood glucose increases. Changes in glucose and β-hydroxybutyrate levels reflected energy metabolism shifts across exercise conditions. Further investigation of additional metabolic indicators will help clarify energy metabolism mechanisms at varying exercise intensities.