Pub Date : 2026-03-01Epub Date: 2026-02-19DOI: 10.1007/s40279-025-02341-z
Menno Henselmans, Fredrik Tonstad Vårvik, Mikel Izquierdo
Background: High-carbohydrate diets are often recommended to enhance resistance training-induced muscle hypertrophy; however, the isolated effect of carbohydrate intake on muscle growth has not been systematically analyzed outside ketogenic diet conditions.
Objective: This meta-analysis aimed to assess whether a higher carbohydrate intake influences muscle hypertrophy under isonitrogenous conditions.
Methods: A systematic search was conducted in the MEDLINE, SPORTDiscus, SciELO, and Google Scholar databases to identify randomized controlled trials comparing higher with lower carbohydrate intakes, whether via supplementation or diet, during resistance training in healthy adults with a measure of muscle size as an outcome. The search was last updated on 26 June, 2025. A random-effects model was used to meta-analyze standardized mean difference (SMD) scores according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Heterogeneity was assessed using χ2, T2, I2, and prediction intervals. Risk of bias was assessed using the Cochrane risk-of-bias (RoB2) tool. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Study quality was assessed using the Assessment of Study Quality and Reporting in Exercise (TESTEX) scale.
Results: Eleven studies met the inclusion criteria. A pooled analysis revealed no significant effect of carbohydrate intake on muscle hypertrophy (SMD = 0.15, p = 0.23), with negligible heterogeneity across studies. Sensitivity analyses confirmed the robustness of the findings, and no evidence of publication bias was detected. Subgroup analyses limited to isocaloric trials (SMD = 0.15, p = 0.60) and those employing direct imaging of muscle size (e.g., ultrasound) also yielded non-significant results (SMD = - 0.26 based on only two studies). TESTEX study quality ranged from fair to good with an average score of 9.8 out of 15, but GRADE certainty of evidence was low (2/4) because of imprecision and a moderate risk of bias.
Conclusions: A higher carbohydrate intake may not independently enhance muscle hypertrophy during resistance training, though certainty of evidence is low. Future studies should employ stricter energy intake control and utilize direct morphological assessments to clarify the role of carbohydrate intake independent of total energy balance.
背景:高碳水化合物饮食常被推荐用于增强阻力训练引起的肌肉肥大;然而,除生酮饮食外,碳水化合物摄入对肌肉生长的单独影响尚未得到系统分析。目的:本荟萃分析旨在评估在等氮条件下高碳水化合物摄入是否会影响肌肉肥大。方法:在MEDLINE、SPORTDiscus、SciELO和谷歌Scholar数据库中进行了系统搜索,以确定随机对照试验,比较健康成人阻力训练期间高碳水化合物摄入量和低碳水化合物摄入量,无论是通过补充还是饮食,以测量肌肉大小为结果。最后一次搜索更新是在2025年6月26日。采用随机效应模型,根据系统评价和荟萃分析(PRISMA)指南的首选报告项目,对标准化平均差(SMD)评分进行meta分析。采用χ2、T2、I2和预测区间评估异质性。使用Cochrane风险-偏倚(RoB2)工具评估偏倚风险。证据的确定性采用分级建议评估、发展和评价(GRADE)方法进行评估。采用研究质量评估和运动报告(TESTEX)量表评估研究质量。结果:11项研究符合纳入标准。一项汇总分析显示,碳水化合物摄入对肌肉肥厚没有显著影响(SMD = 0.15, p = 0.23),研究间的异质性可以忽略不计。敏感性分析证实了研究结果的稳健性,没有发现发表偏倚的证据。限于等热量试验的亚组分析(SMD = 0.15, p = 0.60)和采用肌肉大小直接成像(如超声)的亚组分析也产生了不显著的结果(仅基于两项研究的SMD = - 0.26)。TESTEX研究质量范围从一般到良好,平均得分为9.8分(满分15分),但由于不精确和中等偏倚风险,GRADE证据的确定性较低(2/4)。结论:在抗阻训练中,较高的碳水化合物摄入量可能不会单独增强肌肉肥大,尽管证据的确定性很低。未来的研究应采取更严格的能量摄入控制,并利用直接形态学评估来阐明碳水化合物摄入独立于总能量平衡的作用。临床试验注册:PROSPERO CRD42024589461。
{"title":"The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis.","authors":"Menno Henselmans, Fredrik Tonstad Vårvik, Mikel Izquierdo","doi":"10.1007/s40279-025-02341-z","DOIUrl":"10.1007/s40279-025-02341-z","url":null,"abstract":"<p><strong>Background: </strong>High-carbohydrate diets are often recommended to enhance resistance training-induced muscle hypertrophy; however, the isolated effect of carbohydrate intake on muscle growth has not been systematically analyzed outside ketogenic diet conditions.</p><p><strong>Objective: </strong>This meta-analysis aimed to assess whether a higher carbohydrate intake influences muscle hypertrophy under isonitrogenous conditions.</p><p><strong>Methods: </strong>A systematic search was conducted in the MEDLINE, SPORTDiscus, SciELO, and Google Scholar databases to identify randomized controlled trials comparing higher with lower carbohydrate intakes, whether via supplementation or diet, during resistance training in healthy adults with a measure of muscle size as an outcome. The search was last updated on 26 June, 2025. A random-effects model was used to meta-analyze standardized mean difference (SMD) scores according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Heterogeneity was assessed using χ<sup>2</sup>, T<sup>2</sup>, I<sup>2</sup>, and prediction intervals. Risk of bias was assessed using the Cochrane risk-of-bias (RoB2) tool. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Study quality was assessed using the Assessment of Study Quality and Reporting in Exercise (TESTEX) scale.</p><p><strong>Results: </strong>Eleven studies met the inclusion criteria. A pooled analysis revealed no significant effect of carbohydrate intake on muscle hypertrophy (SMD = 0.15, p = 0.23), with negligible heterogeneity across studies. Sensitivity analyses confirmed the robustness of the findings, and no evidence of publication bias was detected. Subgroup analyses limited to isocaloric trials (SMD = 0.15, p = 0.60) and those employing direct imaging of muscle size (e.g., ultrasound) also yielded non-significant results (SMD = - 0.26 based on only two studies). TESTEX study quality ranged from fair to good with an average score of 9.8 out of 15, but GRADE certainty of evidence was low (2/4) because of imprecision and a moderate risk of bias.</p><p><strong>Conclusions: </strong>A higher carbohydrate intake may not independently enhance muscle hypertrophy during resistance training, though certainty of evidence is low. Future studies should employ stricter energy intake control and utilize direct morphological assessments to clarify the role of carbohydrate intake independent of total energy balance.</p><p><strong>Clinical trial registration: </strong>PROSPERO CRD42024589461.</p>","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":"691-702"},"PeriodicalIF":9.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28DOI: 10.1007/s40279-026-02401-y
Steffen Held, Lena Wolf, Ludwig Rappelt, Wilhem Bloch, Lars Donath, Florian Micke, Stephan Geisler, Eduard Isenmann
Background: Concurrent training (CT), the combination of resistance training (RT) and endurance training (ET), is widely used in athletic and clinical settings. However, concerns about a potential interference effect have prompted ongoing debate regarding its impact on strength, power, hypertrophy, and aerobic capacity.
Methods: A systematic search was conducted in PubMed, Web of Science, SPORTDiscus, and PsycNet following PRISMA guidelines and the four-eyes principle (28th February 2025). Main outcomes included aerobic capacity, muscle strength, power, and hypertrophy. Subgroup analyses were performed based on training modality, performance level, age, resistance training load, and endurance intensity.
Results: Seventeen meta-analyses comprising 144 individual studies and 1492 healthy participants were included. Umbrella data revealed comparable improvements in aerobic capacity for CT and ET. CT revealed significantly greater strength adaptations compared with ET (standardized mean difference [SMD] 0.59; p < 0.001). Compared with RT, CT significantly improved aerobic capacity (SMD 0.77; p = 0.02), while strength, power, and hypertrophy outcomes were comparable. No significant effects of training sequence were found; however, trends suggest performing RT before ET may favor strength (SMD 1.69; p < 0.001) and hypertrophy (SMD 0.83; p = 0.36) gains.
Conclusion: CT improves both aerobic capacity and strength-related outcomes, making it a valuable strategy for comprehensive fitness development for recreationally trained individuals. While no relevant differences were found regarding the training sequence, performing RT before ET may enhance strength and hypertrophy adaptations. However, data from highly trained to elite athletes remain scarce and warrant further investigation.
Prospero registration number: CRD42025646460.
背景:并行训练(CT)是阻力训练(RT)和耐力训练(ET)的结合,在运动和临床中被广泛应用。然而,对潜在干扰效应的担忧引发了关于其对力量、力量、肥大和有氧能力影响的持续争论。方法:系统检索PubMed, Web of Science, SPORTDiscus和PsycNet,遵循PRISMA指南和四眼原则(2025年2月28日)。主要结果包括有氧能力、肌肉力量、力量和肥厚。根据训练方式、表现水平、年龄、阻力训练负荷和耐力强度进行亚组分析。结果:17项荟萃分析包括144项个体研究和1492名健康参与者。Umbrella数据显示,与ET相比,CT显示出更大的力量适应(标准化平均差[SMD] 0.59; p)。结论:CT提高了有氧能力和力量相关结果,使其成为休闲训练个体全面健身发展的有价值的策略。虽然在训练顺序方面没有发现相关差异,但在ET之前进行RT可能会增强力量和肥大适应。然而,从训练有素的运动员到精英运动员的数据仍然很少,需要进一步的调查。普洛斯彼罗注册号:CRD42025646460。
{"title":"Maximizing Adaptations in Concurrent Training: An Umbrella Review of Meta-analyses.","authors":"Steffen Held, Lena Wolf, Ludwig Rappelt, Wilhem Bloch, Lars Donath, Florian Micke, Stephan Geisler, Eduard Isenmann","doi":"10.1007/s40279-026-02401-y","DOIUrl":"https://doi.org/10.1007/s40279-026-02401-y","url":null,"abstract":"<p><strong>Background: </strong>Concurrent training (CT), the combination of resistance training (RT) and endurance training (ET), is widely used in athletic and clinical settings. However, concerns about a potential interference effect have prompted ongoing debate regarding its impact on strength, power, hypertrophy, and aerobic capacity.</p><p><strong>Methods: </strong>A systematic search was conducted in PubMed, Web of Science, SPORTDiscus, and PsycNet following PRISMA guidelines and the four-eyes principle (28th February 2025). Main outcomes included aerobic capacity, muscle strength, power, and hypertrophy. Subgroup analyses were performed based on training modality, performance level, age, resistance training load, and endurance intensity.</p><p><strong>Results: </strong>Seventeen meta-analyses comprising 144 individual studies and 1492 healthy participants were included. Umbrella data revealed comparable improvements in aerobic capacity for CT and ET. CT revealed significantly greater strength adaptations compared with ET (standardized mean difference [SMD] 0.59; p < 0.001). Compared with RT, CT significantly improved aerobic capacity (SMD 0.77; p = 0.02), while strength, power, and hypertrophy outcomes were comparable. No significant effects of training sequence were found; however, trends suggest performing RT before ET may favor strength (SMD 1.69; p < 0.001) and hypertrophy (SMD 0.83; p = 0.36) gains.</p><p><strong>Conclusion: </strong>CT improves both aerobic capacity and strength-related outcomes, making it a valuable strategy for comprehensive fitness development for recreationally trained individuals. While no relevant differences were found regarding the training sequence, performing RT before ET may enhance strength and hypertrophy adaptations. However, data from highly trained to elite athletes remain scarce and warrant further investigation.</p><p><strong>Prospero registration number: </strong>CRD42025646460.</p>","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147318200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-23DOI: 10.1007/s40279-026-02396-6
Kumiko Hashida, Eric J Shumski, Donna K Broshek, Stanley A Herring, Robert J Elbin, Russell M Bauer, Jamie E Pardini, Jacob E Resch, Anne Mucha, Michael A McCrea, Thomas W McAllister, Steven P Broglio, Julianne D Schmidt
Purpose: The aim of this study was to describe and compare symptom characteristics using individual symptom items and symptom clusters over time between collegiate athletes with and without persisting symptoms after concussion (PSaC).
Methods: This was a retrospective cohort study. Data from the National Collegiate Athletic Association and US Department of Defense Concussion Assessment, Research, and Education Consortium were analyzed. PSaC was defined as symptoms lasting longer than 28 days post-concussion, while NoPSaC included individuals who became asymptomatic within 28 days. We analyzed 323 PSaC cases and 3973 cases without PSaC. Symptoms were assessed through the Sport Concussion Assessment Tool-3rd edition symptom checklist during the initial 14 days after concussion. Individual symptom scores and symptom cluster scores were collected as outcomes. We conducted separate generalized linear mixed models for each symptom and symptom cluster using ordinal distribution. Effects included group main effect, time main effect, and its interaction (group × time).
Results: There were significant interactions for all individual symptoms and symptom clusters (p < 0.001). Post-hoc analysis revealed that the PSaC group experienced significantly more severe symptoms across 14 days post-concussion for all individual symptoms and symptom clusters, relative to the NoPSaC group. The highest symptom score reported was headaches followed by 'pressure in head' during the first week of the injury.
Conclusion: Our findings highlighted the significant differences in symptom recovery patterns between individuals with and without PSaC. The PSaC group reported significantly higher symptom scores and showed less consistent, slower, and less pronounced symptom improvement across concussion recovery. In contrast, the NoPSaC group showed consistent symptom improvement.
{"title":"Symptom Resolution Characteristics: Initial Symptom Trajectories of Collegiate Students with and without Persisting Symptoms After Concussion.","authors":"Kumiko Hashida, Eric J Shumski, Donna K Broshek, Stanley A Herring, Robert J Elbin, Russell M Bauer, Jamie E Pardini, Jacob E Resch, Anne Mucha, Michael A McCrea, Thomas W McAllister, Steven P Broglio, Julianne D Schmidt","doi":"10.1007/s40279-026-02396-6","DOIUrl":"https://doi.org/10.1007/s40279-026-02396-6","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to describe and compare symptom characteristics using individual symptom items and symptom clusters over time between collegiate athletes with and without persisting symptoms after concussion (PSaC).</p><p><strong>Methods: </strong>This was a retrospective cohort study. Data from the National Collegiate Athletic Association and US Department of Defense Concussion Assessment, Research, and Education Consortium were analyzed. PSaC was defined as symptoms lasting longer than 28 days post-concussion, while NoPSaC included individuals who became asymptomatic within 28 days. We analyzed 323 PSaC cases and 3973 cases without PSaC. Symptoms were assessed through the Sport Concussion Assessment Tool-3rd edition symptom checklist during the initial 14 days after concussion. Individual symptom scores and symptom cluster scores were collected as outcomes. We conducted separate generalized linear mixed models for each symptom and symptom cluster using ordinal distribution. Effects included group main effect, time main effect, and its interaction (group × time).</p><p><strong>Results: </strong>There were significant interactions for all individual symptoms and symptom clusters (p < 0.001). Post-hoc analysis revealed that the PSaC group experienced significantly more severe symptoms across 14 days post-concussion for all individual symptoms and symptom clusters, relative to the NoPSaC group. The highest symptom score reported was headaches followed by 'pressure in head' during the first week of the injury.</p><p><strong>Conclusion: </strong>Our findings highlighted the significant differences in symptom recovery patterns between individuals with and without PSaC. The PSaC group reported significantly higher symptom scores and showed less consistent, slower, and less pronounced symptom improvement across concussion recovery. In contrast, the NoPSaC group showed consistent symptom improvement.</p>","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147277226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-23DOI: 10.1007/s40279-026-02395-7
Rohit K Thapa, Amritashish Bagchi, Hüseyin Şahin Uysal, Kaushik Talukdar, José Afonso, Rodrigo Ramirez-Campillo
<p><strong>Background: </strong>The literature is equivocal on whether complex training (i.e., combining traditional resistance and ballistic exercises within a single session) is superior to ballistic training in improving physical fitness qualities. This systematic review with meta-analysis aims to compare the effects of complex and ballistic training on physical fitness outcomes.</p><p><strong>Methods: </strong>A systematic search using the PRISMA 2020 guidelines was conducted in electronic databases (i.e., PubMed, Scopus, Web of Science). From the included studies, data were extracted for linear sprint, vertical jump (i.e., countermovement jump, squat jump), change of direction speed, and maximal strength. The risk of bias of the included studies was assessed using RoB-2 and ROBINS-I tools for randomized and nonrandomized studies, respectively. The meta-analyses were computed using a DerSimonian and Laird random effects model, reporting Hedges' g effect size (ES) with 95% confidence and prediction intervals. Statistical significance was set at p ≤ 0.05. In addition, the certainty of evidence was assessed using the GRADE approach.</p><p><strong>Results: </strong>A total of 20 studies were initially eligible. However, one study was excluded owing to critical concerns at risk of bias assessment stage. Thereafter, 19 studies involving 537 participants ranging from "tier 0" (i.e., sedentary) to "tier 3" (i.e., highly trained) level were included. Randomized studies presented low (k = 2), some (k = 10), and high concerns (k = 5) regarding the risk of bias, while nonrandomized studies presented moderate concerns (k = 2). Compared with ballistic training, significantly greater improvements were reported after complex training for one-repetition maximum (ES = 1.12, p = 0.010), squat jump (ES = 0.37, p = 0.004), 10 m (ES = 0.67, p = 0.033), and 40 m (ES = 0.72, p = 0.005) linear sprint. Furthermore, a significant moderating effect of training duration was observed for complex training, favoring longer (> 7.5 weeks) interventions. The certainty of the evidence was low for the squat jump and very low for all other outcomes.</p><p><strong>Conclusions: </strong>Our findings suggest complex training to be superior in improving one-repetition maximum squat, squat jump, 10 m, and 40 m linear sprint compared with ballistic training alone. However, 5 m, 20 m, change of direction speed, countermovement jump, and jump power were similarly improved after both training methods. In addition, a longer intervention duration (> 7.5 weeks) may optimize complex training effects. However, the certainty of the evidence was low for the squat jump and very low for all other outcomes. To increase confidence in the certainty of the current evidence, and therefore to provide robust recommendations favoring (or not) the use of complex training (and its prescription factors) over ballistic training to improve participants' physical fitness, more robust studies would be required (
背景:关于复合训练(即在单次训练中结合传统阻力和弹道训练)在提高身体素质方面是否优于弹道训练,文献是模棱两可的。本系统综述与荟萃分析旨在比较复杂训练和弹道训练对身体健康结果的影响。方法:采用PRISMA 2020指南在电子数据库(PubMed、Scopus、Web of Science)中进行系统检索。从纳入的研究中,提取了直线冲刺、垂直跳跃(即反向跳跃、深蹲跳跃)、方向速度变化和最大力量的数据。纳入研究的偏倚风险分别使用rob2和ROBINS-I工具对随机和非随机研究进行评估。meta分析使用DerSimonian和Laird随机效应模型进行计算,报告Hedges效应大小(ES),置信区间为95%,预测区间为95%。p≤0.05为差异有统计学意义。此外,使用GRADE方法评估证据的确定性。结果:共有20项研究最初符合条件。然而,有一项研究由于在偏倚风险评估阶段存在严重问题而被排除。此后,纳入了19项研究,涉及537名参与者,从“0级”(即久坐)到“3级”(即训练有素)水平不等。随机研究对偏倚风险的关注程度低(k = 2)、部分(k = 10)和高度(k = 5),而非随机研究对偏倚风险的关注程度中等(k = 2)。与弹道训练相比,单次极限训练(ES = 1.12, p = 0.010)、深蹲跳(ES = 0.37, p = 0.004)、10米直线冲刺(ES = 0.67, p = 0.033)和40米直线冲刺(ES = 0.72, p = 0.005)的综合训练均有显著提高。此外,在复杂训练中,观察到训练时间的显著调节作用,倾向于更长的干预(大约7.5周)。证据的确定性在深蹲跳上很低,在所有其他结果上都很低。结论:我们的研究结果表明,与单独的弹道训练相比,复合训练在提高单次最大深蹲、深蹲跳、10米和40米直线冲刺方面更有优势。两种训练方法对5米、20米、方向变化速度、反向跳跃、起跳力量的提高效果相似。此外,较长的干预时间(大约7.5周)可能会优化复杂的训练效果。然而,证据的确定性在深蹲跳上很低,在所有其他结果上也很低。为了增加对当前证据确定性的信心,并因此提供支持(或不支持)使用复杂训练(及其处方因素)而不是弹道训练来改善参与者身体健康的有力建议,将需要更有力的研究(例如,更大的样本)。协议注册:该协议于2024年4月13日在开放科学框架(OSF)平台上发布(DOI: https://doi.org/10.17605/OSF.IO/STUZ7;档案链接:https://archive.org/details/osf-registrations-stuz7-v1)。
{"title":"Effects of Complex Training Versus Ballistic Training on Physical Fitness Abilities of Athletes and Healthy Individuals: A Systematic Review with Meta-analysis.","authors":"Rohit K Thapa, Amritashish Bagchi, Hüseyin Şahin Uysal, Kaushik Talukdar, José Afonso, Rodrigo Ramirez-Campillo","doi":"10.1007/s40279-026-02395-7","DOIUrl":"https://doi.org/10.1007/s40279-026-02395-7","url":null,"abstract":"<p><strong>Background: </strong>The literature is equivocal on whether complex training (i.e., combining traditional resistance and ballistic exercises within a single session) is superior to ballistic training in improving physical fitness qualities. This systematic review with meta-analysis aims to compare the effects of complex and ballistic training on physical fitness outcomes.</p><p><strong>Methods: </strong>A systematic search using the PRISMA 2020 guidelines was conducted in electronic databases (i.e., PubMed, Scopus, Web of Science). From the included studies, data were extracted for linear sprint, vertical jump (i.e., countermovement jump, squat jump), change of direction speed, and maximal strength. The risk of bias of the included studies was assessed using RoB-2 and ROBINS-I tools for randomized and nonrandomized studies, respectively. The meta-analyses were computed using a DerSimonian and Laird random effects model, reporting Hedges' g effect size (ES) with 95% confidence and prediction intervals. Statistical significance was set at p ≤ 0.05. In addition, the certainty of evidence was assessed using the GRADE approach.</p><p><strong>Results: </strong>A total of 20 studies were initially eligible. However, one study was excluded owing to critical concerns at risk of bias assessment stage. Thereafter, 19 studies involving 537 participants ranging from \"tier 0\" (i.e., sedentary) to \"tier 3\" (i.e., highly trained) level were included. Randomized studies presented low (k = 2), some (k = 10), and high concerns (k = 5) regarding the risk of bias, while nonrandomized studies presented moderate concerns (k = 2). Compared with ballistic training, significantly greater improvements were reported after complex training for one-repetition maximum (ES = 1.12, p = 0.010), squat jump (ES = 0.37, p = 0.004), 10 m (ES = 0.67, p = 0.033), and 40 m (ES = 0.72, p = 0.005) linear sprint. Furthermore, a significant moderating effect of training duration was observed for complex training, favoring longer (> 7.5 weeks) interventions. The certainty of the evidence was low for the squat jump and very low for all other outcomes.</p><p><strong>Conclusions: </strong>Our findings suggest complex training to be superior in improving one-repetition maximum squat, squat jump, 10 m, and 40 m linear sprint compared with ballistic training alone. However, 5 m, 20 m, change of direction speed, countermovement jump, and jump power were similarly improved after both training methods. In addition, a longer intervention duration (> 7.5 weeks) may optimize complex training effects. However, the certainty of the evidence was low for the squat jump and very low for all other outcomes. To increase confidence in the certainty of the current evidence, and therefore to provide robust recommendations favoring (or not) the use of complex training (and its prescription factors) over ballistic training to improve participants' physical fitness, more robust studies would be required (","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147277192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-20DOI: 10.1007/s40279-026-02402-x
Pedro Lopez, Anderson Rech, Maria Petropoulou, Caroline B. Silveira, Talita Molinari, Cindranne Torres Muller, Priscila Casara, Francesco Bettariga, Favil Singh, Régis Radaelli
Background Exercise medicine has gained significant recognition owing to its demonstrated benefits throughout the breast cancer treatment continuum. While resistance exercise (RE) promotes improvements in lean mass and muscle strength, aerobic exercise (AE) enhances cardiorespiratory fitness, with several studies investigating both exercise modes in patients with breast cancer. However, because of an effect often referred to as interference effect, it is hypothesised that combining resistance and aerobic exercise (COMB) may compromise gains in lean mass and muscle strength and other outcomes in cancer populations. Objective This study aims to investigate the presence of an interference effect from prescribing COMB compared with RE on fatigue, lean mass, physical function and muscle strength in women with breast cancer. In addition, it examines a range of demographic, clinical and exercise prescription moderators within this population. Methods We searched seven databases from inception to January 2024 (PROSPERO CRD42023491118), with an updated search in April 2025. Eligible trials examined the effects of RE, AE and/or COMB in women diagnosed with breast cancer. The primary outcomes for this review were cancer-related fatigue, lean mass, physical function and/or lower-limb muscle strength. A random-effects network meta-analysis was undertaken to examine the effect of different exercise programs and controls, with specific focus on the comparisons between RE and COMB. Differences between RE and COMB above 0.20 standardised mean difference (SMD) were an indicative of a potential interference effect. Results We included a total of 131 articles describing 116 randomised trials ( <jats:italic>n</jats:italic> = 9206). Both RE (SMD − 0.52, 95% CI − 0.83 to − 0.21, <jats:italic>p</jats:italic> = 0.001) and COMB (SMD − 0.47, 95% CI − 0.65 to − 0.29, <jats:italic>p</jats:italic> < 0.001) similarly reduced fatigue compared with controls. However, a potential interference effect was observed on fatigue during surgery (SMD − 0.23, 95% CI − 0.58 to 0.12, <jats:italic>p</jats:italic> = 0.191) and chemotherapy (SMD − 0.22, 95% CI − 0.59 to 0.16, <jats:italic>p</jats:italic> = 0.257), with RE showing greater benefits than COMB. For physical function, both RE (SMD 0.86, 95% CI 0.41–1.30, <jats:italic>p</jats:italic> < 0.001) and COMB (SMD 0.90, 95% CI 0.58–1.22, <jats:italic>p</jats:italic> < 0.001) improved outcomes compared with controls, though RE was superior to COMB in patients receiving hormone therapy (SMD 0.62, 95% CI − 0.56 to 1.81, <jats:italic>p</jats:italic> = 0.303). Differences between RE and COMB in lean mass (MD 0.18 kg, 95% CI − 0.17–0.53 kg, <jats:italic>p</jats:italic> = 0.303) and muscle strength (SMD 0.43, 95% CI − 0.01–0.86, <jats:italic>p</jats:italic> = 0.056) were not significant in the main analyses; however, sensitivity analyses omitting the outliers indicated significant differences favouring RE for lean mass (MD 0.36 kg, 95% CI
运动医学由于其在整个乳腺癌治疗过程中表现出的益处而获得了显著的认可。阻力运动(RE)促进瘦质量和肌肉力量的改善,有氧运动(AE)增强心肺健康,有几项研究调查了乳腺癌患者的两种运动模式。然而,由于一种通常被称为干扰效应的效应,假设将阻力和有氧运动(COMB)结合起来可能会损害癌症人群瘦质量和肌肉力量的增加以及其他结果。目的探讨复方方对乳腺癌患者疲劳、瘦体重、身体机能和肌力的干扰作用。此外,它还检查了这一人群中的一系列人口统计学、临床和运动处方调节因素。方法检索自成立至2024年1月的7个数据库(PROSPERO CRD42023491118),并于2025年4月更新检索。符合条件的试验检查了RE、AE和/或COMB对诊断为乳腺癌的妇女的影响。本综述的主要结局是癌症相关的疲劳、瘦质量、身体功能和/或下肢肌肉力量。采用随机效应网络荟萃分析来检验不同运动计划和对照的效果,特别关注RE和COMB之间的比较。RE和COMB之间的标准平均差(SMD)大于0.20的差异表明存在潜在的干扰效应。结果我们共纳入了131篇文章,描述了116项随机试验(n = 9206)。与对照组相比,RE (SMD - 0.52, 95% CI - 0.83至- 0.21,p = 0.001)和COMB (SMD - 0.47, 95% CI - 0.65至- 0.29,p < 0.001)同样减少了疲劳。然而,在手术期间(SMD - 0.23, 95% CI - 0.58至0.12,p = 0.191)和化疗期间(SMD - 0.22, 95% CI - 0.59至0.16,p = 0.257),观察到潜在的干扰效应,RE显示出比COMB更大的益处。对于身体功能,与对照组相比,RE (SMD 0.86, 95% CI 0.41-1.30, p < 0.001)和COMB (SMD 0.90, 95% CI 0.58-1.22, p < 0.001)均改善了预后,尽管在接受激素治疗的患者中,RE优于COMB (SMD 0.62, 95% CI - 0.56 - 1.81, p = 0.303)。在主要分析中,RE组和COMB组在瘦质量(MD 0.18 kg, 95% CI - 0.17-0.53 kg, p = 0.303)和肌肉力量(SMD 0.43, 95% CI - 0.01-0.86, p = 0.056)方面的差异无统计学意义;然而,忽略异常值的敏感性分析表明,瘦质量(MD 0.36 kg, 95% CI 0.15-0.57 kg, p < 0.001)和肌肉力量(SMD 0.40, 95% CI 0.08-0.71, p = 0.014)的RE有显著差异。结论:我们的研究结果强调了针对乳腺癌女性治疗特点的个性化运动医学的重要性。虽然COMB可能在所有研究结果中都有益处,但无论人口统计学、临床和运动处方特征,以及疲劳和身体功能测试,特别是在辅助治疗和激素治疗期间,单独开RE处方可能更可取,以尽量减少对瘦质量和肌肉力量的潜在干扰影响。
{"title":"Do Combined Resistance and Aerobic Exercise Programs Cause an Interference Effect in Women with Breast Cancer? A Systematic Review and Network Meta-analysis","authors":"Pedro Lopez, Anderson Rech, Maria Petropoulou, Caroline B. Silveira, Talita Molinari, Cindranne Torres Muller, Priscila Casara, Francesco Bettariga, Favil Singh, Régis Radaelli","doi":"10.1007/s40279-026-02402-x","DOIUrl":"https://doi.org/10.1007/s40279-026-02402-x","url":null,"abstract":"Background Exercise medicine has gained significant recognition owing to its demonstrated benefits throughout the breast cancer treatment continuum. While resistance exercise (RE) promotes improvements in lean mass and muscle strength, aerobic exercise (AE) enhances cardiorespiratory fitness, with several studies investigating both exercise modes in patients with breast cancer. However, because of an effect often referred to as interference effect, it is hypothesised that combining resistance and aerobic exercise (COMB) may compromise gains in lean mass and muscle strength and other outcomes in cancer populations. Objective This study aims to investigate the presence of an interference effect from prescribing COMB compared with RE on fatigue, lean mass, physical function and muscle strength in women with breast cancer. In addition, it examines a range of demographic, clinical and exercise prescription moderators within this population. Methods We searched seven databases from inception to January 2024 (PROSPERO CRD42023491118), with an updated search in April 2025. Eligible trials examined the effects of RE, AE and/or COMB in women diagnosed with breast cancer. The primary outcomes for this review were cancer-related fatigue, lean mass, physical function and/or lower-limb muscle strength. A random-effects network meta-analysis was undertaken to examine the effect of different exercise programs and controls, with specific focus on the comparisons between RE and COMB. Differences between RE and COMB above 0.20 standardised mean difference (SMD) were an indicative of a potential interference effect. Results We included a total of 131 articles describing 116 randomised trials ( <jats:italic>n</jats:italic> = 9206). Both RE (SMD − 0.52, 95% CI − 0.83 to − 0.21, <jats:italic>p</jats:italic> = 0.001) and COMB (SMD − 0.47, 95% CI − 0.65 to − 0.29, <jats:italic>p</jats:italic> < 0.001) similarly reduced fatigue compared with controls. However, a potential interference effect was observed on fatigue during surgery (SMD − 0.23, 95% CI − 0.58 to 0.12, <jats:italic>p</jats:italic> = 0.191) and chemotherapy (SMD − 0.22, 95% CI − 0.59 to 0.16, <jats:italic>p</jats:italic> = 0.257), with RE showing greater benefits than COMB. For physical function, both RE (SMD 0.86, 95% CI 0.41–1.30, <jats:italic>p</jats:italic> < 0.001) and COMB (SMD 0.90, 95% CI 0.58–1.22, <jats:italic>p</jats:italic> < 0.001) improved outcomes compared with controls, though RE was superior to COMB in patients receiving hormone therapy (SMD 0.62, 95% CI − 0.56 to 1.81, <jats:italic>p</jats:italic> = 0.303). Differences between RE and COMB in lean mass (MD 0.18 kg, 95% CI − 0.17–0.53 kg, <jats:italic>p</jats:italic> = 0.303) and muscle strength (SMD 0.43, 95% CI − 0.01–0.86, <jats:italic>p</jats:italic> = 0.056) were not significant in the main analyses; however, sensitivity analyses omitting the outliers indicated significant differences favouring RE for lean mass (MD 0.36 kg, 95% CI","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":"32 1 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-19DOI: 10.1007/s40279-025-02384-2
Tigran Petrosyan, Nune Ter-Margaryan
{"title":"Comment on: \"Cardiac Fatigue in Male Athletes with Exercise-Induced Pulmonary Impairments After a Very Long-Distance Triathlon\".","authors":"Tigran Petrosyan, Nune Ter-Margaryan","doi":"10.1007/s40279-025-02384-2","DOIUrl":"https://doi.org/10.1007/s40279-025-02384-2","url":null,"abstract":"","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to Comment on: \"Cardiac Fatigue in Male Athletes with Exercise-Induced Pulmonary Impairments After a Very Long-Distance Triathlon\".","authors":"Christophe Hédon, Fares Gouzi, Stéphane Nottin, Olivier Cazorla","doi":"10.1007/s40279-025-02385-1","DOIUrl":"https://doi.org/10.1007/s40279-025-02385-1","url":null,"abstract":"","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-14DOI: 10.1007/s40279-025-02383-3
Maysa Vieira de Sousa, Diana Bento da Silva Soares, Hassane Zouhal, Anthony C. Hackney, Juan Del Coso, Samuel Katsuyuki Shinjo
{"title":"How Acute and Chronic Exercise Regulate Muscle Atrophic Genes to Mitigate Sarcopenia: A Narrative Review","authors":"Maysa Vieira de Sousa, Diana Bento da Silva Soares, Hassane Zouhal, Anthony C. Hackney, Juan Del Coso, Samuel Katsuyuki Shinjo","doi":"10.1007/s40279-025-02383-3","DOIUrl":"https://doi.org/10.1007/s40279-025-02383-3","url":null,"abstract":"","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":"8 1","pages":""},"PeriodicalIF":9.8,"publicationDate":"2026-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146196593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-12DOI: 10.1007/s40279-026-02399-3
Andrew G Thompson, Manoj Subedi, Alexander E Morrow, Chance L Smith, Kevin A Bigelman
<p><strong>Purpose: </strong>Holistic Health and Fitness (H2F) is the United States Army's largest force modernization initiative aimed at preserving combat power by optimizing soldier readiness across five domains: physical, mental, nutritional, sleep, and spiritual. At the core of this effort are H2F Performance Teams (HPTs): embedded, interdisciplinary subject matter experts, composed of strength and conditioning coaches, athletic trainers, physical and occupational therapists, registered dietitians, and mental readiness professionals. These teams operate within brigades to deliver proactive, preventive, and performance-enhancing interventions that reduce injury risk, accelerate rehabilitation, improve fitness and cognitive performance, and sustain deployability. This evaluation quantified the return on investment (ROI) of embedded HPTs across 56 matched active-duty brigades (28 HPT-resourced, 28 controls), encompassing over 1,000,000 soldiers from fiscal year (FY) 2019 through FY2023.</p><p><strong>Methods: </strong>A quasi-experimental, presence-based difference-in-differences framework estimated multiyear treatment effects for musculoskeletal injury (MSKI) referrals and profiles, behavioral health (BH) and substance abuse (SA) profiles, Army Combat Fitness Test (ACFT) pass/failure rates, Army Body Composition Program (BCP) noncompliance, and Rifle Marksmanship Qualification (RMQ). Outcome deltas were monetized using validated cost-per-case benchmarks from military/government reports and peer-reviewed studies. A 10,000-draw Monte Carlo simulation, incorporating triangular distributions and a ρ = 0.15 Gaussian copula, modeled fiscal uncertainty, interdomain dependency, and force-wide extrapolation.</p><p><strong>Results: </strong>Despite significantly worse baseline odds pre-resourcing, HPT brigades reversed all major readiness disadvantages by FY2023. MSKI referral odds declined 61% (odds ratio [OR] 1.16 → 0.45), SA profile odds dropped 79% (OR 1.92 → 0.41), and BH > 90-day profile odds fell 44% (OR 1.51 → 0.84). ACFT failure odds decreased 22% (OR 1.05 → 0.82), RMQ expert qualification odds increased 33% (OR 1.21 → 1.60), BCP failure odds decreased 12%, and RMQ failure odds declined 28%. Annually, per brigade, these effects translated to 1363 adverse events avoided and 37,484 duty days restored. Using domain-specific cost estimates, a 10,000-draw Monte Carlo simulation estimated mean annual cost avoidance of $14.06 M per brigade (95% CI $12.25-16.19 million), with 99.05% of draws exceeding a 4:1 ROI. Duty day restoration and expert RMQ gains added $10.38 million (95% CI $8.15-13.00 million) in readiness value. Combined, annual total economic value reached $24.44 million per brigade (ROI = 8.15:1; 95% CI 7.17-9.27), with force-wide extrapolation yielding $5.28 billion in annual total Army returns. Every $1 invested in HPTs returns $8.15 in value ($4.69 in cost avoidances and $3.46 in readiness improvements).</p><p><strong>Conclusions: </stro
{"title":"Evaluating the Return on Investment of U.S. Army Holistic Health and Fitness Performance Teams: A Matched Difference-in-Differences Study of Readiness and Economic Outcomes.","authors":"Andrew G Thompson, Manoj Subedi, Alexander E Morrow, Chance L Smith, Kevin A Bigelman","doi":"10.1007/s40279-026-02399-3","DOIUrl":"https://doi.org/10.1007/s40279-026-02399-3","url":null,"abstract":"<p><strong>Purpose: </strong>Holistic Health and Fitness (H2F) is the United States Army's largest force modernization initiative aimed at preserving combat power by optimizing soldier readiness across five domains: physical, mental, nutritional, sleep, and spiritual. At the core of this effort are H2F Performance Teams (HPTs): embedded, interdisciplinary subject matter experts, composed of strength and conditioning coaches, athletic trainers, physical and occupational therapists, registered dietitians, and mental readiness professionals. These teams operate within brigades to deliver proactive, preventive, and performance-enhancing interventions that reduce injury risk, accelerate rehabilitation, improve fitness and cognitive performance, and sustain deployability. This evaluation quantified the return on investment (ROI) of embedded HPTs across 56 matched active-duty brigades (28 HPT-resourced, 28 controls), encompassing over 1,000,000 soldiers from fiscal year (FY) 2019 through FY2023.</p><p><strong>Methods: </strong>A quasi-experimental, presence-based difference-in-differences framework estimated multiyear treatment effects for musculoskeletal injury (MSKI) referrals and profiles, behavioral health (BH) and substance abuse (SA) profiles, Army Combat Fitness Test (ACFT) pass/failure rates, Army Body Composition Program (BCP) noncompliance, and Rifle Marksmanship Qualification (RMQ). Outcome deltas were monetized using validated cost-per-case benchmarks from military/government reports and peer-reviewed studies. A 10,000-draw Monte Carlo simulation, incorporating triangular distributions and a ρ = 0.15 Gaussian copula, modeled fiscal uncertainty, interdomain dependency, and force-wide extrapolation.</p><p><strong>Results: </strong>Despite significantly worse baseline odds pre-resourcing, HPT brigades reversed all major readiness disadvantages by FY2023. MSKI referral odds declined 61% (odds ratio [OR] 1.16 → 0.45), SA profile odds dropped 79% (OR 1.92 → 0.41), and BH > 90-day profile odds fell 44% (OR 1.51 → 0.84). ACFT failure odds decreased 22% (OR 1.05 → 0.82), RMQ expert qualification odds increased 33% (OR 1.21 → 1.60), BCP failure odds decreased 12%, and RMQ failure odds declined 28%. Annually, per brigade, these effects translated to 1363 adverse events avoided and 37,484 duty days restored. Using domain-specific cost estimates, a 10,000-draw Monte Carlo simulation estimated mean annual cost avoidance of $14.06 M per brigade (95% CI $12.25-16.19 million), with 99.05% of draws exceeding a 4:1 ROI. Duty day restoration and expert RMQ gains added $10.38 million (95% CI $8.15-13.00 million) in readiness value. Combined, annual total economic value reached $24.44 million per brigade (ROI = 8.15:1; 95% CI 7.17-9.27), with force-wide extrapolation yielding $5.28 billion in annual total Army returns. Every $1 invested in HPTs returns $8.15 in value ($4.69 in cost avoidances and $3.46 in readiness improvements).</p><p><strong>Conclusions: </stro","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146166960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-07DOI: 10.1007/s40279-025-02391-3
Andrew Watson, Andrew Murray, Alex Ehlert, Jiaqing Xu, Steve Williams, Abbie Spiegelhalter, Daniel Coughlan, Anthony Turner, Chris Bishop
Background: Optimising performance with a driver, fairway woods and long irons is a key focus for many golfers, with the primary goal of hitting the ball as far as possible while maintaining the ball in play. As such, recent years have seen a strong focus in the golf literature on how to maximise performance off the tee by investigating the factors that lead to the increase in clubhead speed (CHS). These factors include: (i) effective use of ground reaction force (GRF) during the swing and (ii) the path followed by the centre of pressure (CoP).
Objectives: The primary purpose of this systematic review was to investigate GRF and CoP within golf research and to identify what associations they have with CHS and skill level.
Methods: This systematic review followed the most recent Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. In total, 129 studies where initially retrieved from SPORTDiscus, Medline and CINAHL databases, with studies meeting the inclusion criteria being subject to Newcastle-Ottawa's quality assessment criteria (with a maximum score of 9 being possible).
Results: A total of 24 studies met the inclusion criteria for this review. Nine empirical investigations showed moderate-to-strong relationships between either: (i) CoP and CHS or (ii) GRF and CHS. In addition, more skilled golfers tended to exhibit higher GRF and superior CHS than less skilled golfers. From a quality assessment standpoint, all 24 studies scored either a 7 or 8.
Conclusions: Changes in both CoP and GRF represent important factors which contribute to superior golf performance, as defined by increases in CHS or reduced handicaps. Clearly defined methods for assessing force during the golf swing and universal terminology regarding GRF and CoP metrics are recommended for further research.
{"title":"Ground Reaction Force and Centre of Pressure During the Golf Swing and Associations with Clubhead Speed and Skill Level: A Systematic Review.","authors":"Andrew Watson, Andrew Murray, Alex Ehlert, Jiaqing Xu, Steve Williams, Abbie Spiegelhalter, Daniel Coughlan, Anthony Turner, Chris Bishop","doi":"10.1007/s40279-025-02391-3","DOIUrl":"https://doi.org/10.1007/s40279-025-02391-3","url":null,"abstract":"<p><strong>Background: </strong>Optimising performance with a driver, fairway woods and long irons is a key focus for many golfers, with the primary goal of hitting the ball as far as possible while maintaining the ball in play. As such, recent years have seen a strong focus in the golf literature on how to maximise performance off the tee by investigating the factors that lead to the increase in clubhead speed (CHS). These factors include: (i) effective use of ground reaction force (GRF) during the swing and (ii) the path followed by the centre of pressure (CoP).</p><p><strong>Objectives: </strong>The primary purpose of this systematic review was to investigate GRF and CoP within golf research and to identify what associations they have with CHS and skill level.</p><p><strong>Methods: </strong>This systematic review followed the most recent Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. In total, 129 studies where initially retrieved from SPORTDiscus, Medline and CINAHL databases, with studies meeting the inclusion criteria being subject to Newcastle-Ottawa's quality assessment criteria (with a maximum score of 9 being possible).</p><p><strong>Results: </strong>A total of 24 studies met the inclusion criteria for this review. Nine empirical investigations showed moderate-to-strong relationships between either: (i) CoP and CHS or (ii) GRF and CHS. In addition, more skilled golfers tended to exhibit higher GRF and superior CHS than less skilled golfers. From a quality assessment standpoint, all 24 studies scored either a 7 or 8.</p><p><strong>Conclusions: </strong>Changes in both CoP and GRF represent important factors which contribute to superior golf performance, as defined by increases in CHS or reduced handicaps. Clearly defined methods for assessing force during the golf swing and universal terminology regarding GRF and CoP metrics are recommended for further research.</p>","PeriodicalId":21969,"journal":{"name":"Sports Medicine","volume":" ","pages":""},"PeriodicalIF":9.4,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146132875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}