Journal of Sport and Health Science最新文献

Background: It remains unclear whether the cardiovascular benefits of physical activity (PA) vary across populations with different predicted atherosclerotic cardiovascular disease (ASCVD) risks. This study aimed to determine the modification of predicted cardiovascular risk on the association between PA and ASCVD incidence.

Methods: A total of 94,734 participants without ASCVD in the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project were included, with a median follow-up of 6.0 years. PA volume (metabolic equivalent of task (MET)-h/day) and intensity (%, percentage of moderate-to-vigorous PA (MVPA)) were assessed by questionnaires. Based on the ASCVD 10-year and lifetime risk prediction scores, participants were classified into low-to-medium-risk and high-risk groups. Hazard ratios (HRs) and 95% confidence intervals (95%CIs) for ASCVD were calculated using Cox proportional hazards models.

Results: During 679,438 person-years of follow-up, 3470 ASCVD events occurred. Higher PA volume was associated with lower ASCVD incidence, which was more pronounced among high-predicted-risk individuals than their low-to-medium-risk counterparts, with HRs (95%CIs) of 0.58 (0.50-0.67) and 0.62 (0.53-0.71) for the highest vs. lowest quartiles of PA volume, respectively. Additionally, analyses for PA intensity showed similar results. Compared with inactive individuals, there was a 32% (95%CI: 25%-38%) and 23% (95%CI: 13%-32%) risk reduction in high- and low-to-medium-risk groups, respectively, when over half of the PA volume was from MVPA. Furthermore, the additive interactions between PA and predicted risk indicated a further risk reduction by increasing PA, especially MVPA, in high-risk individuals.

Conclusion: Engaging in more PA, especially MVPA, reduced the risk of ASCVD incidence, with greater benefits among high-risk individuals. These findings emphasize the imperative for personalized PA recommendations tailored to distinct risk populations-in particular, reinforcing PA guidance for high-risk individuals.

Ferroptosis is a programmed cell death, and its mechanism involves multiple metabolic pathways, such as iron and lipid metabolism, and redox homeostasis. Exerkines are important mediators that optimize cellular homeostasis and maintain physiological health during exercise stimulation. This article comprehensively examines the mechanisms and regulatory networks for governing ferroptosis and summarizes the impact of exercise and exerkines on ferroptosis under varying load intensities and disease contexts. Notably, despite its significant efficacy and minimal side effects, the therapeutic and prognostic potential of exercise in ferroptosis-related diseases remains largely unexplored. This article, by summarizing recent progresses in the regulation of exerkines-mediated ferroptosis, could further uncover the preventive or alleviative mechanisms of some diseases upon exercise interventions, which will be beneficial to design exercise interventional strategies for alleviating disease progression through the regulation of ferroptosis.

Objectives: We aimed to determine: (a) the chronic effects of interval training (IT) combined with blood flow restriction (BFR) on physiological adaptations (aerobic/anaerobic capacity and muscle responses) and performance enhancement (endurance and sprints), and (b) the influence of participant characteristics and intervention protocols on these effects.

Methods: Searches were conducted in PubMed, Web of Science (Core Collection), Cochrane Library (Embase, ClinicalTrials.gov, and International Clinical Trials Registry Platform), and Chinese National Knowledge Infrastructure on April 2, with updates on October 17, 2024. Pooled effects for each outcome were summarized using Hedge's g (g) through meta-analysis-based random effects models, and subgroup and regression analyses were used to explore moderators.

Results: A total of 24 studies with 621 participants were included. IT combined with BFR (IT+BFR) significantly improved maximal oxygen uptake (VO_2max) (g = 0.63, I² = 63%), mean power during the Wingate 30-s test (g = 0.70, I² = 47%), muscle strength (g = 0.88, I² = 64%), muscle endurance (g = 0.43, I² = 0%), time to fatigue (g = 1.26, I² = 86%), and maximal aerobic speed (g = 0.74, I² = 0%) compared to IT alone. Subgroup analysis indicated that participant characteristics including training status, IT intensity, and IT modes significantly moderated VO_2max (subgroup differences: p < 0.05). Specifically, IT+BFR showed significantly superior improvements in VO_2max compared to IT alone in trained individuals (g = 0.76) at supra-maximal intensity (g = 1.29) and moderate intensity (g = 1.08) as well as in walking (g = 1.64) and running (g = 0.63) modes. Meta-regression analysis showed cuff width (β = 0.14) was significantly associated with VO_2max change, identifying 8.23 cm as the minimum threshold required for significant improvement. Subgroup analyses regarding muscle strength did not reveal any significant moderators.

Conclusion: IT+BFR enhances physiological adaptations and optimizes aspects of endurance performance, with moderators including training status, IT protocol (intensity, mode, and type), and cuff width. This intervention addresses various IT-related challenges and provides tailored protocols and benefits for diverse populations.

Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level. Over the past 2 decades, transcriptome studies in muscle have detailed acute and chronic responses to resistance, endurance, and concurrent exercise, focusing on variables such as training status, nutrition, age, sex, and metabolic health profile. Multi-omics approaches, such as the integration of transcriptomic and epigenetic data, along with emerging ribosomal RNA sequencing advancements, have further provided insights into how skeletal muscle adapts to exercise across the lifespan. Downstream of the transcriptome, proteomic and phosphoproteomic studies have identified novel regulators of exercise adaptations, while single-cell/nucleus and spatial sequencing technologies promise to evolve our understanding of cellular specialization and communication in and around skeletal muscle cells. This narrative review highlights (a) the historical foundations of exercise omics in skeletal muscle, (b) current research at 3 layers of the omics cascade (DNA, RNA, and protein), and (c) applications of single-cell omics and spatial sequencing technologies to study skeletal muscle adaptation to exercise. Further elaboration of muscle's global molecular footprint using multi-omics methods will help researchers and practitioners develop more effective and targeted approaches to improve skeletal muscle health as well as athletic performance.

Background: While muscle contractility increases with muscle temperature, there is no consensus on the best warm-up protocol to use before resistance training or sports exercise due to the range of possible warm-up and testing combinations available. Therefore, the objective of the current study was to determine the effects of different warm-up types (active, exercise-based vs. passive) on muscle function tested using different activation methods (voluntary vs. evoked) and performance test criteria (maximum force vs. rate-dependent contractile properties), with consideration of warm-up task specificity (specific vs. non-specific), temperature measurement method (muscle vs. skin), baseline temperatures, and subject-specific variables (training status and sex).

Methods: A systematic search was conducted in PubMed/MEDLINE, Scopus, Web of Science, Cochrane, Embase, and ProQuest. Random-effects meta-analyses and meta-regressions were used to compute the effect sizes (ES) and 95 % confidence intervals (95 %CI) to examine the effects of warm-up type, activation method, performance criterion, subject characteristics, and study design on temperature-related performance enhancement.

Results: The search yielded 1272 articles, of which 33 met the inclusion criteria (n = 921). Increasing temperature positively affected both voluntary (3.7 % ± 1.8 %/°C, ES = 0.28 (95 %CI: 0.14, 0.41)) and evoked (3.2 % ± 1.5 %/°C, ES = 0.65 (95 %CI: 0.29, 1.00)) rate-dependent contractile properties (dynamic, fast-velocity force production, and rate of force development (RFD)) but not maximum force production (voluntary: -0.2 % ± 0.9 %/°C, ES = 0.08 (95 %CI: -0.05, 0.22); evoked: -0.1 % ± 0.8 %/°C, ES = -0.20 (95 %CI: -0.50, 0.10)). Active warm-up did not induce greater enhancements in rate-dependent contractile properties (p = 0.284), maximum force production (p = 0.723), or overall function (pooled, p = 0.093) than passive warm-up. Meta-regressions did not reveal a significant effect of study design, temperature measurement method, warm-up task specificity, training status, or sex on the effect of increasing temperature (p > 0.05).

Conclusion: Increasing muscle temperature significantly enhances rate-dependent contractile function (RFD and muscle power) but not maximum force in both evoked and voluntary contractions. In contrast to expectation, no effects of warm-up modality (active vs. passive) or temperature measurement method (muscle vs. skin) were detected, although insufficient data prevented robust sub-group analyses.

Background: Despite the wide use of compression garments to enhance athletic running performance, evidence supporting improvements has not been conclusive. This updated systematic review and meta-analysis of randomized controlled trials (RCTs) compared the effects of compression garment wearing with those of non-compression garment wearing (controls) during running on improving running performance.

Methods: A comprehensive search was conducted in the electronic databases (Web of Science, EBSCOhost, PubMed, Embase, Scopus, and Cochrane) for RCTs comparing running performance between runners wearing compression garments and controls during running, from inception to September 2024. Independent reviewers screened studies, extracted data, appraised risk of bias (RoB 2) and certainty of evidence (Grading of Recommendations Assessments, Development and Evaluation, GRADE). Primary outcomes were race time and time to exhaustion. Secondary outcomes covered running speed and race pace, submaximal oxygen uptake, tissue oxygenation, and soft tissue vibration. Random-effects meta-analyses were conducted to generate pooled estimates, expressed in standardized mean difference (SMD). Subgroup differences of garment, race type, and contact surface were tested in moderator analyses.

Results: The search yielded 51 eligible studies comprising 899 participants, of which 33 studies were available for meta-analysis of primary outcomes. Runners wearing compression garments during running showed no significant improvement in race time (SMD = -0.07, 95 % CI: -0.22 to 0.09; p = 0.40) or time to exhaustion (SMD = 0.04, 95 % CI: -0.20 to 0.29; p = 0.72). Moderator analyses indicated no effects from garment type, race type, or surface. Secondary outcomes also showed no performance benefits, although compression garments significantly reduced soft tissue vibration (SMD = -0.43, 95 % CI: -0.70 to -0.15; p < 0.01). Certainty of evidence was rated low to very low.

Conclusion: Data synthesis of current RCTs offers no updated evidence favoring the support of wearing compression garments during running as a viable strategy for improving running and endurance performance among runners of varying performance levels and types of running races.