James G. Hopker, Callum Barnes, Christopher R. J. Fennell, Stuart Gibson
Cycling performance is strongly influenced by aerodynamics, with most resistive drag forces being attributed to the rider. The Body Rocket device (BR) is an on-bike sensor system that uses the same load cell technology as a wind tunnel, directly measuring real-time aerodynamic resistance (CdA) from the rider. This study aimed to measure the validity and reliability of CdA measures from BR in two experiments. In Experiment 1, validity of BR was assessed in wind tunnel with a rod and discs of known diameter attached to the end change CdA by a known amount. Experiment 2, examined the validity and reliability of BR in a 250m indoor velodrome. Ten cyclists performed 7 identical efforts at ∼40 km/h for 10 laps of the velodrome, the first 4 to assess validity with the same rod and discs used in the wind tunnel, with the remaining 3 without changes in resistance or the riders changing position to assess reliability. Validity results demonstrated BR measured CdA to be strongly correlated with calculated CdA from the disc addition (r = 0.99), with the smallest identified changes being 0.002 m2 across wind tunnel and velodrome. Good agreement was found between theoretical and measured CdA with varying disc sizes (95% limits of agreement = −0.012 to 0.009 m2). A high level of reliability was demonstrated during Experiment 2 with strong intraclass correlation (0.99) and small coefficient of variation (1.67%). Findings of this study demonstrate BR is a valid and reliable device for measuring real-time CdA during cycling in an indoor velodrome.
{"title":"Validity and Reliability of an On-Bike Sensor System for the Determination of Aerodynamic Drag in Cycling","authors":"James G. Hopker, Callum Barnes, Christopher R. J. Fennell, Stuart Gibson","doi":"10.1002/ejsc.70098","DOIUrl":"https://doi.org/10.1002/ejsc.70098","url":null,"abstract":"<p>Cycling performance is strongly influenced by aerodynamics, with most resistive drag forces being attributed to the rider. The Body Rocket device (BR) is an on-bike sensor system that uses the same load cell technology as a wind tunnel, directly measuring real-time aerodynamic resistance (CdA) from the rider. This study aimed to measure the validity and reliability of CdA measures from BR in two experiments. In Experiment 1, validity of BR was assessed in wind tunnel with a rod and discs of known diameter attached to the end change CdA by a known amount. Experiment 2, examined the validity and reliability of BR in a 250m indoor velodrome. Ten cyclists performed 7 identical efforts at ∼40 km/h for 10 laps of the velodrome, the first 4 to assess validity with the same rod and discs used in the wind tunnel, with the remaining 3 without changes in resistance or the riders changing position to assess reliability. Validity results demonstrated BR measured CdA to be strongly correlated with calculated CdA from the disc addition (<i>r</i> = 0.99), with the smallest identified changes being 0.002 m<sup>2</sup> across wind tunnel and velodrome. Good agreement was found between theoretical and measured CdA with varying disc sizes (95% limits of agreement = −0.012 to 0.009 m<sup>2</sup>). A high level of reliability was demonstrated during Experiment 2 with strong intraclass correlation (0.99) and small coefficient of variation (1.67%). Findings of this study demonstrate BR is a valid and reliable device for measuring real-time CdA during cycling in an indoor velodrome.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorge Rubio-Lopez, Víctor Paredes-Hernández, Javier Sánchez-Sánchez, Carlos Balsalobre-Fernández
The purpose of this study was to investigate the associations of fast maximal dynamic strength (MDS) and reactive strength capacity with physical match performance. Seventeen male semi-professional soccer players (age = 20.2 ± 1.3 years) performed the countermovement jump (CMJ), drop jump and a modified version of the single-leg triple crossover hop (COav) tests during the season to measure their fast MDS and reactive strength capacities. Strength capacities were compared with the physical match performance measured through Global Positioning System (GPS) in official matches ± 14 days after the test day. The significance level was set at p < 0.05. CMJ significantly predicted the relative number of high-intensity accelerations >4 m/s−2 (ACC>4) (R2 = 42.9%; p < 0.01) and maximum acceleration (ACCmax) (R2 = 30.6%; p < 0.05). The transformed modified reactive strength index (log10 (mRSI)) also significantly predicted ACC>4 (R2 = 37.1%; p < 0.01) and ACCmax (R2 = 26.3%; p < 0.05). COav significantly predicted the worst-case scenario for player load (WCSPL) (R2 = 27.0%; p < 0.05). The present results suggest that different lower-body strength capacities are associated with acceleration match performance.
本研究的目的是探讨快速最大动态强度(MDS)和反应强度能力与体能匹配表现的关系。17名男性半职业足球运动员(年龄20.2±1.3岁)在赛季期间进行了反动作跳(CMJ)、落体跳(drop jump)和改进版单腿三交叉跳(COav)测试,以测量他们的快速MDS和反应力量能力。在测试日后±14天的正式比赛中,通过全球定位系统(GPS)测量体力比赛表现。显著性水平为p <; 0.05。CMJ显著预测高强度加速度的相对次数>;4 m/s−2 (ACC>4) (R2 = 42.9%; p < 0.01)和最大加速度(ACCmax) (R2 = 30.6%; p < 0.05)。转化后的修正反应强度指数log10 (mRSI)也能显著预测ACC>;4 (R2 = 37.1%; p < 0.01)和ACCmax (R2 = 26.3%; p < 0.05)。COav显著预测玩家负荷(WCSPL)的最坏情况(R2 = 27.0%; p < 0.05)。目前的研究结果表明,不同的下半身力量能力与加速比赛表现有关。
{"title":"Associations Between Lower-Body Fast Maximal Dynamic and Reactive Strength Tests With Acceleration Performance in Semi-Professional Male Soccer Players","authors":"Jorge Rubio-Lopez, Víctor Paredes-Hernández, Javier Sánchez-Sánchez, Carlos Balsalobre-Fernández","doi":"10.1002/ejsc.70056","DOIUrl":"https://doi.org/10.1002/ejsc.70056","url":null,"abstract":"<p>The purpose of this study was to investigate the associations of fast maximal dynamic strength (MDS) and reactive strength capacity with physical match performance. Seventeen male semi-professional soccer players (age = 20.2 ± 1.3 years) performed the countermovement jump (CMJ), drop jump and a modified version of the single-leg triple crossover hop (CO<sub>av</sub>) tests during the season to measure their fast MDS and reactive strength capacities. Strength capacities were compared with the physical match performance measured through Global Positioning System (GPS) in official matches ± 14 days after the test day. The significance level was set at <i>p</i> < 0.05. CMJ significantly predicted the relative number of high-intensity accelerations >4 m/s<sup>−2</sup> (ACC<sub>>4</sub>) (<i>R</i><sup>2</sup> = 42.9%; <i>p</i> < 0.01) and maximum acceleration (ACC<sub>max</sub>) (<i>R</i><sup>2</sup> = 30.6%; <i>p</i> < 0.05). The transformed modified reactive strength index (log<sub>10</sub> (mRSI)) also significantly predicted ACC<sub>>4</sub> (<i>R</i><sup>2</sup> = 37.1%; <i>p</i> < 0.01) and ACC<sub>max</sub> (<i>R</i><sup>2</sup> = 26.3%; <i>p</i> < 0.05). CO<sub>av</sub> significantly predicted the worst-case scenario for player load (WCS<sub>PL</sub>) (<i>R</i><sup>2</sup> = 27.0%; <i>p</i> < 0.05). The present results suggest that different lower-body strength capacities are associated with acceleration match performance.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aapo Räntilä, Eeli J. Halonen, Esko J. Tiainen, Sasu O. Kaasinen, Juha J. Hulmi, Juha P. Ahtiainen
This study investigated whether the responses of upper and lower limb muscle strength and size to resistance training (RT) are reproducible across two RT periods. Untrained males and females (age 32 ± 5 years) were randomly assigned to RT (n = 20) or a control group (n = 27). The RT group completed two identical 10-week RT periods separated by 10 weeks of detraining. The control group underwent a 10-week non-RT period. Before and after each period, the muscle cross-sectional area (CSA) of the vastus lateralis (VL) and biceps brachii (BB) was measured by ultrasound. One-repetition maximum (1RM) was measured in leg press (LP) and biceps curl (BC). Minimal detectable changes were determined. The RT group showed greater gains (p < 0.001) in muscle size and strength than the control group, with variability observed among individual responses. The reproducibility of responses within-participants was demonstrated by correlations (p ≤ 0.001) between the first and second RT periods in VLCSA (r = 0.697), BBCSA (r = 0.761), and LP1RM (r = 0.671), with a trend for BC1RM (r = 0.393 and p = 0.095). Nonresponders were identified, but none were detected in both RT periods for more than one variable. First RT correlated negatively (p < 0.05) with subsequent detraining in BBCSA (r = −0.673) and LP1RM (r = −0.488), with a trend for VLCSA (r = −0.422 and p = 0.072). In conclusion, responses to RT are reproducible when RT is repeated, indicating that the individuality of the training response has a physiological origin. Nonresponsiveness is rare and should not be justified solely by one variable. Responses to detraining suggest that greater RT gains may also diminish faster.
{"title":"Repeated Resistance Training Reveals the Reproducibility of Muscle Strength and Size Responses Within Individuals","authors":"Aapo Räntilä, Eeli J. Halonen, Esko J. Tiainen, Sasu O. Kaasinen, Juha J. Hulmi, Juha P. Ahtiainen","doi":"10.1002/ejsc.70095","DOIUrl":"https://doi.org/10.1002/ejsc.70095","url":null,"abstract":"<p>This study investigated whether the responses of upper and lower limb muscle strength and size to resistance training (RT) are reproducible across two RT periods. Untrained males and females (age 32 ± 5 years) were randomly assigned to RT (<i>n</i> = 20) or a control group (<i>n</i> = 27). The RT group completed two identical 10-week RT periods separated by 10 weeks of detraining. The control group underwent a 10-week non-RT period. Before and after each period, the muscle cross-sectional area (CSA) of the vastus lateralis (VL) and biceps brachii (BB) was measured by ultrasound. One-repetition maximum (1RM) was measured in leg press (LP) and biceps curl (BC). Minimal detectable changes were determined. The RT group showed greater gains (<i>p</i> < 0.001) in muscle size and strength than the control group, with variability observed among individual responses. The reproducibility of responses within-participants was demonstrated by correlations (<i>p</i> ≤ 0.001) between the first and second RT periods in VLCSA (<i>r</i> = 0.697), BBCSA (<i>r</i> = 0.761), and LP1RM (<i>r</i> = 0.671), with a trend for BC1RM (<i>r</i> = 0.393 and <i>p</i> = 0.095). Nonresponders were identified, but none were detected in both RT periods for more than one variable. First RT correlated negatively (<i>p</i> < 0.05) with subsequent detraining in BBCSA (<i>r</i> = −0.673) and LP1RM (<i>r</i> = −0.488), with a trend for VLCSA (<i>r</i> = −0.422 and <i>p</i> = 0.072). In conclusion, responses to RT are reproducible when RT is repeated, indicating that the individuality of the training response has a physiological origin. Nonresponsiveness is rare and should not be justified solely by one variable. Responses to detraining suggest that greater RT gains may also diminish faster.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katharina Raasch, Antonia Edel, Alexander Ferrauti
This study aimed to compare respiratory patterns and gas exchange during tennis and treadmill running at similar oxygen uptake. On three experimental days, 15 elite players (7 female, 8 male) completed a standardized tennis protocol (TP), a treadmill-based incremental running test (RT), and a metabolically matched running protocol (RP). TP (Day 1) included low or high running loads (RL, RH) and low or high stroke velocities (SL, SH) which were combined in four incremental ball-machine stages (TP1:RL + SL; TP2:RL + SH; TP3:RH + SL; TP4:RH + SH). RT (Day 2) determined running speeds matching the oxygen uptake of each TP stage. RP (Day 3) replicated TP's mean oxygen consumption and stage duration through treadmill running. Metabolic and respiratory responses (portable spirometry) and external loads (stroke velocity) were compared between TP and RP. In tennis, mean oxygen uptake (p < 0.001), energy expenditure (p < 0.001), and respiratory exchange ratio (p < 0.001) as well as respiratory responses increased significantly between Stage 1–4. No differences in metabolic responses as well as in breathing frequency (bf), ventilation (’E), inspiration (tI), and expiration time (tE) were observed between TP and RP. In contrast, the number of breathing plateaus per stage (NP) was significantly higher in TP compared to RP during TP2 (5.9 ± 3.8 vs. 0.4 ± 0.5 times, p < 0.001), TP3 (2.6 ± 2.7 vs. 0.3 ± 0.6 times, p = 0.04), and TP4 (4.6 ± 4.1 vs. 0.3 ± 0.6 times, p < 0.001). Breathing plateaus appear characteristic for tennis when hitting hard without affecting metabolism. Exploring individual breathing patterns can be recommended in practice.
{"title":"Impact of Tennis-Specific Hitting and Running Loads on Respiration Patterns Compared to Treadmill Running With Similar Oxygen Uptake","authors":"Katharina Raasch, Antonia Edel, Alexander Ferrauti","doi":"10.1002/ejsc.70088","DOIUrl":"https://doi.org/10.1002/ejsc.70088","url":null,"abstract":"<p>This study aimed to compare respiratory patterns and gas exchange during tennis and treadmill running at similar oxygen uptake. On three experimental days, 15 elite players (7 female, 8 male) completed a standardized tennis protocol (TP), a treadmill-based incremental running test (RT), and a metabolically matched running protocol (RP). TP (Day 1) included low or high running loads (RL, RH) and low or high stroke velocities (SL, SH) which were combined in four incremental ball-machine stages (TP<sub>1</sub>:RL + SL; TP<sub>2</sub>:RL + SH; TP<sub>3</sub>:RH + SL; TP<sub>4</sub>:RH + SH). RT (Day 2) determined running speeds matching the oxygen uptake of each TP stage. RP (Day 3) replicated TP's mean oxygen consumption and stage duration through treadmill running. Metabolic and respiratory responses (portable spirometry) and external loads (stroke velocity) were compared between TP and RP. In tennis, mean oxygen uptake (<i>p</i> < 0.001), energy expenditure (<i>p</i> < 0.001), and respiratory exchange ratio (<i>p</i> < 0.001) as well as respiratory responses increased significantly between Stage 1–4. No differences in metabolic responses as well as in breathing frequency (bf), ventilation (<span></span><math></math>’E), inspiration (tI), and expiration time (tE) were observed between TP and RP. In contrast, the number of breathing plateaus per stage (NP) was significantly higher in TP compared to RP during TP<sub>2</sub> (5.9 ± 3.8 vs. 0.4 ± 0.5 times, <i>p</i> < 0.001), TP<sub>3</sub> (2.6 ± 2.7 vs. 0.3 ± 0.6 times, <i>p</i> = 0.04), and TP<sub>4</sub> (4.6 ± 4.1 vs. 0.3 ± 0.6 times, <i>p</i> < 0.001). Breathing plateaus appear characteristic for tennis when hitting hard without affecting metabolism. Exploring individual breathing patterns can be recommended in practice.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily A. Lundstrom, Mary Jane De Souza, Megan E. Conklin, Nancy I. Williams
High-quality sleep is necessary for optimal health and promoting recovery from training, contributing to sport performance. Research suggests a high prevalence of poor sleep duration and quality in athletes. Reduced sleep duration has been shown to be deleterious to performance, but less is known about sleep quality and its relationship to training responses and performance. In 26 elite male (n = 10) and female (n = 16) collegiate swimmers, we assessed sleep quality (sleep duration (hrs), sleep debt (hrs), slow-wave sleep (SWShrs and SWS%), rapid-eye movement (REMhrs and REM%)), training measures (strain (AU), average heart rate (HR) (ExHRavg) and maximum exercising HR (ExHRmax)), and swimming performance (200yd time trial swim) during heavy training, preceding championship competition. Collection of sleep data was matched to days of training data collection, and also to the day preceding the performance swim. Pearson correlations were utilized to determine relationships between variables unless sex effects existed in which case linear regression analyses were utilized to control for sex differences in variables. In all swimmers, sleep duration is related to strain (R = −0.78; p = 0.01), and sleep debt is related to ExHRavg (R = 0.53; p = 0.005). SWShrs negatively is related to ExHRavg (R = −0.42; p = 0.032). Controlling for sex, sleep duration predicted swimming performance (R2 = 0.881; p < 0.001), swimmers with greater sleep durations exhibited faster swim race times. Similarly, when controlling for sex, SWS% predicted swimming performance (R2 = 0.883; p < 0.001), swimmers with greater SWS% exhibited faster times. Sleep quality measures were related to training adaptations and swimming performance was predicted by sleep quantity and quality. Athletes should obtain adequate sleep to support recovery and optimize training and performance.
高质量的睡眠对于最佳的健康状态和促进训练后的恢复,有助于运动表现是必要的。研究表明,运动员普遍存在睡眠时间和质量差的问题。睡眠时间的减少已被证明对运动表现有害,但人们对睡眠质量及其与训练反应和运动表现的关系知之甚少。我们对26名优秀的大学游泳运动员(n = 10)和(n = 16)进行了睡眠质量(睡眠时间(hrs)、睡眠负债(hrs)、慢波睡眠(SWShrs和SWS%)、快速眼动(REMhrs和REM%)、训练措施(应变(AU)、平均心率(HR) (ExHRavg)和最大运动心率(ExHRmax))和游泳成绩(200码计时赛)的评估。收集的睡眠数据与训练数据收集的天数相匹配,也与游泳表演前一天相匹配。使用Pearson相关性来确定变量之间的关系,除非存在性别效应,在这种情况下,使用线性回归分析来控制变量的性别差异。在所有游泳者中,睡眠持续时间与应变相关(R = -0.78; p = 0.01),睡眠债务与ExHRavg相关(R = 0.53; p = 0.005)。SWShrs与ExHRavg呈负相关(R = -0.42; p = 0.032)。控制性别后,睡眠时间预测游泳成绩(R2 = 0.881; p 2 = 0.883; p
{"title":"Sleep Quality Impacts Training Responses and Performance in Elite Swimmers","authors":"Emily A. Lundstrom, Mary Jane De Souza, Megan E. Conklin, Nancy I. Williams","doi":"10.1002/ejsc.70090","DOIUrl":"10.1002/ejsc.70090","url":null,"abstract":"<p>High-quality sleep is necessary for optimal health and promoting recovery from training, contributing to sport performance. Research suggests a high prevalence of poor sleep duration and quality in athletes. Reduced sleep duration has been shown to be deleterious to performance, but less is known about sleep quality and its relationship to training responses and performance. In 26 elite male (<i>n</i> = 10) and female (<i>n</i> = 16) collegiate swimmers, we assessed sleep quality (sleep duration (hrs), sleep debt (hrs), slow-wave sleep (SWS<sub>hrs</sub> and SWS%), rapid-eye movement (REMhrs and REM%)), training measures (strain (AU), average heart rate (HR) (ExHR<sub>avg</sub>) and maximum exercising HR (ExHR<sub>max</sub>)), and swimming performance (200yd time trial swim) during heavy training, preceding championship competition. Collection of sleep data was matched to days of training data collection, and also to the day preceding the performance swim. Pearson correlations were utilized to determine relationships between variables unless sex effects existed in which case linear regression analyses were utilized to control for sex differences in variables. In all swimmers, sleep duration is related to strain (<i>R</i> = −0.78; <i>p</i> = 0.01), and sleep debt is related to ExHR<sub>avg</sub> (<i>R</i> = 0.53; <i>p</i> = 0.005). SWS<sub>hrs</sub> negatively is related to ExHR<sub>avg</sub> (<i>R</i> = −0.42; <i>p</i> = 0.032). Controlling for sex, sleep duration predicted swimming performance (<i>R</i><sup>2</sup> = 0.881; <i>p</i> < 0.001), swimmers with greater sleep durations exhibited faster swim race times. Similarly, when controlling for sex, SWS% predicted swimming performance (<i>R</i><sup>2</sup> = 0.883; <i>p</i> < 0.001), swimmers with greater SWS% exhibited faster times. Sleep quality measures were related to training adaptations and swimming performance was predicted by sleep quantity and quality. Athletes should obtain adequate sleep to support recovery and optimize training and performance.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145607961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ross A. Hamilton, Ruiyang Xia, Chloe Nicholas, Rachel Churm, Olivia M. McCarthy, Richard M. Bracken
Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates. At the start and end of each dietary arm, participants performed a fasted 3-h submaximal run outdoors before ingesting either a low (GI = 32, isomaltulose [Palatinose]) or high (GI = 100, maltodextrin) glycaemic index drink (0.75 g/kg bm/h over 3.5 h). Participants then completed a treadmill run to exhaustion at 74 ± 1% vO2peak, with pulmonary gas exchange measured over the first hour. Interstitial glucose [iG] was measured via continuous glucose monitoring (Supersapiens, Atlanta, USA). Data were analysed ANOVA and post hoc t-tests with Bonferroni adjustment as appropriate, with p ≤ 0.05 accepted as significant. Mean 24-h [iG] was similar between diets (LGI:102 ± 5 vs. HGI:100 ± 5 mg/dL). [iG] variability measures, including standard deviation (LGI:17 ± 1 vs. HGI:18 ± 2 mg/dL, p = 0.016) and coefficient of variation (LGI:16 ± 1% vs. HGI:18 ± 1%, p = 0.0003), were lower in the LGI diet, with a reduced percentage of time spent below the recommended range (LGI 2 ± 1% vs. HGI 4 ± 2%, p = 0.006. Level 1 [55–69 mg/dL] LGI 1 ± 1% vs. HGI 3 ± 2, p = 0.005). Carbohydrate oxidation during the first hour of the run test was reduced in the LGI diet arm (ΔLGI −0.14 ± 0.32 vs. ΔHGI 0.06 ± 0.28 g·min−1, p = 0.016) but endurance capacity was similar across diets. Adopting a 28-day LGI carbohydrate-rich diet and incorporating isomaltulose improved glycaemic variability and reduced time spent below the target glycaemic range with evidence of similar endurance performance capability when compared to a HGI carbohydrate-rich diet.
9名超耐力运动员完成了一项随机交叉试验,包括两个28天的饮食组,在此期间,运动员食用富含碳水化合物的饮食(碳水化合物58±3,蛋白质15±2和脂肪26±2%),其中碳水化合物分别含有低血糖指数(LGI)或高血糖指数(HGI)。在每个饮食组的开始和结束时,参与者在室外禁食3小时,然后摄入低(GI = 32,异麦糖糖[Palatinose])或高(GI = 100,麦芽糊精)血糖指数饮料(0.75 g/kg体重/小时,超过3.5小时)。然后,参与者在74±1% v v˙$dot{ mathm {v}}$ o2峰值时完成跑步机跑步至疲惫,并在第一个小时内测量肺部气体交换。间质葡萄糖[iG]通过连续血糖监测(Supersapiens, Atlanta, USA)测量。对数据进行方差分析和事后t检验,并酌情采用Bonferroni调整,p≤0.05为显著性。两种饮食的平均24小时[iG]相似(LGI:102±5 vs. HGI:100±5 mg/dL)。[iG]变异性测量,包括标准差(LGI:17±1 vs. HGI:18±2 mg/dL, p = 0.016)和变异系数(LGI:16±1% vs. HGI:18±1%,p = 0.0003),在LGI饮食中较低,低于推荐范围的时间百分比减少(LGI 2±1% vs. HGI 4±2%,p = 0.006)。1级(55 - 69 mg / dL) LGI 1±1% vs HGI 3±2负责,p = 0.005)。在跑步测试的第一个小时,LGI饮食组的碳水化合物氧化减少(ΔLGI -0.14±0.32 vs. ΔHGI 0.06±0.28 g·min-1, p = 0.016),但不同饮食组的耐力能力相似。采用28天的富含LGI碳水化合物的饮食,并加入异麦芽糖,改善了血糖变异性,减少了血糖低于目标范围的时间,与富含HGI碳水化合物的饮食相比,耐力表现能力相似。
{"title":"Glycaemic Impact of Low- and High-Glycaemic Index Carbohydrate Diets in Ultra-Endurance Athletes: Insights From Continuous Glucose Monitoring","authors":"Ross A. Hamilton, Ruiyang Xia, Chloe Nicholas, Rachel Churm, Olivia M. McCarthy, Richard M. Bracken","doi":"10.1002/ejsc.70092","DOIUrl":"10.1002/ejsc.70092","url":null,"abstract":"<p>Nine ultra-endurance athletes completed a randomised, crossover trial involving two 28-day dietary arms during which the athletes consumed a carbohydrate-rich diet (carbohydrate 58 ± 3, protein 15 ± 2 and fat 26 ± 2%) containing low- or high-glycaemic-index (LGI or HGI, respectively) carbohydrates. At the start and end of each dietary arm, participants performed a fasted 3-h submaximal run outdoors before ingesting either a low (GI = 32, isomaltulose [Palatinose]) or high (GI = 100, maltodextrin) glycaemic index drink (0.75 g/kg bm/h over 3.5 h). Participants then completed a treadmill run to exhaustion at 74 ± 1% v<span></span><math></math>O<sub>2peak</sub>, with pulmonary gas exchange measured over the first hour. Interstitial glucose [iG] was measured via continuous glucose monitoring (Supersapiens, Atlanta, USA). Data were analysed ANOVA and post hoc <i>t</i>-tests with Bonferroni adjustment as appropriate, with <i>p</i> ≤ 0.05 accepted as significant. Mean 24-h [iG] was similar between diets (LGI:102 ± 5 vs. HGI:100 ± 5 mg/dL). [iG] variability measures, including standard deviation (LGI:17 ± 1 vs. HGI:18 ± 2 mg/dL, <i>p</i> = 0.016) and coefficient of variation (LGI:16 ± 1% vs. HGI:18 ± 1%, <i>p</i> = 0.0003), were lower in the LGI diet, with a reduced percentage of time spent below the recommended range (LGI 2 ± 1% vs. HGI 4 ± 2%, <i>p</i> = 0.006. Level 1 [55–69 mg/dL] LGI 1 ± 1% vs. HGI 3 ± 2, <i>p</i> = 0.005). Carbohydrate oxidation during the first hour of the run test was reduced in the LGI diet arm (ΔLGI −0.14 ± 0.32 vs. ΔHGI 0.06 ± 0.28 g·min<sup>−1</sup>, <i>p</i> = 0.016) but endurance capacity was similar across diets. Adopting a 28-day LGI carbohydrate-rich diet and incorporating isomaltulose improved glycaemic variability and reduced time spent below the target glycaemic range with evidence of similar endurance performance capability when compared to a HGI carbohydrate-rich diet.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ejsc.70092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145607986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lorcan Daly, Patrick Caulfield, David Martínez-Hernández
This study investigated actions preceding goals in male and female players across 6 FIFA World Cups. This is the first longitudinal, multi-sex analysis of goal actions using world-class data, extending validity and findings beyond the current evidence base (domestic, single-sex studies). In total, 2995 actions preceding goals from open-play were analysed across the last 6 men's’ and women's FIFA world cups (2014–2023) using the modified Bloomfield method. Additionally, possible longitudinal (tournament cycle), sex, and role-based (i.e., scorer vs. assister) differences were examined using Bayesian and chi-squared analyses. Linear advancing movements (≈41%), particularly sprinting, were the most prevalent actions leading to goals, followed by deceleration (≈22%) and turns (≈19%) (Cramer's V = 0.27–0.38; p < 0.05). Longitudinal, between-sex and between-role (i.e., scorer vs. assister) differences were predominantly minimal for movement types (Bayes Factors [BF10] < 0.01; Cramer's V = 0.02–0.06; p > 0.05). Sprinting preceded goals more prevalently for males (43.4%) and scorers (43.2%), when compared with females (39.0%) and assisters (39.1%), respectively (Cramer's V = 0.04–0.10; p < 0.05). Female players performed significantly greater proportions of actions at high intensity versus males (53.0 vs. 47.9%; BF10 = 38.7; Cramer's V = 0.369; p < 0.05), and the 2022/2023 cycle had lower proportion of actions at high intensity compared to earlier cycles (46.6% vs. 52.3%–52.5%; BF10 = 0.019; Cramer's V = 0.06; p < 0.05). This analysis highlights the importance of sprinting, decelerating, and turning for goal-scoring. Therefore, enhancing players' physiological and mechanical reserves to undertake these actions, as and when required during match-play, appears prudent. Further, analysts/coaches may apply this information to identify decisive goal-scoring actions and design targeted training drills accordingly.
这项研究调查了6届国际足联世界杯中男女球员进球前的动作。这是第一次使用世界级数据对目标行动进行纵向、多性别分析,将有效性和发现扩展到现有证据基础(国内、单性别研究)之外。使用改进的布卢姆菲尔德方法,研究人员分析了过去6届国际足联男女世界杯(2014-2023年)在公开比赛中进球前的2995次动作。此外,可能的纵向(比赛周期),性别和基于角色(即得分者与助攻者)的差异使用贝叶斯和卡方分析进行了检验。线性前进动作(≈41%),尤其是冲刺,是最常见的导致进球的动作,其次是减速(≈22%)和转弯(≈19%)(克莱默的V = 0.27-0.38; p 10] 0.05)。与女性(39.0%)和助攻(39.1%)相比,男性(43.4%)和得分者(43.2%)在进球前冲刺的比例分别更高(克莱默的V = 0.04-0.10; p 10 = 38.7;克莱默的V = 0.369; p 10 = 0.019;克莱默的V = 0.06; p
{"title":"Sprints, Decelerations and Turns Most Commonly Precede Goals in Soccer: Analysis of 6 FIFA World Cups","authors":"Lorcan Daly, Patrick Caulfield, David Martínez-Hernández","doi":"10.1002/ejsc.70085","DOIUrl":"10.1002/ejsc.70085","url":null,"abstract":"<p>This study investigated actions preceding goals in male and female players across 6 FIFA World Cups. This is the first longitudinal, multi-sex analysis of goal actions using world-class data, extending validity and findings beyond the current evidence base (domestic, single-sex studies). In total, 2995 actions preceding goals from open-play were analysed across the last 6 men's’ and women's FIFA world cups (2014–2023) using the modified Bloomfield method. Additionally, possible longitudinal (tournament cycle), sex, and role-based (i.e., scorer vs. assister) differences were examined using Bayesian and chi-squared analyses. Linear advancing movements (≈41%), particularly sprinting, were the most prevalent actions leading to goals, followed by deceleration (≈22%) and turns (≈19%) (Cramer's V = 0.27–0.38; <i>p</i> < 0.05). Longitudinal, between-sex and between-role (i.e., scorer vs. assister) differences were predominantly minimal for movement types (Bayes Factors [BF<sub>10</sub>] < 0.01; Cramer's V = 0.02–0.06; <i>p</i> > 0.05). Sprinting preceded goals more prevalently for males (43.4%) and scorers (43.2%), when compared with females (39.0%) and assisters (39.1%), respectively (Cramer's V = 0.04–0.10; <i>p</i> < 0.05). Female players performed significantly greater proportions of actions at high intensity versus males (53.0 vs. 47.9%; BF<sub>10</sub> = 38.7; Cramer's V = 0.369; <i>p</i> < 0.05), and the 2022/2023 cycle had lower proportion of actions at high intensity compared to earlier cycles (46.6% vs. 52.3%–52.5%; BF<sub>10</sub> = 0.019; Cramer's V = 0.06; <i>p</i> < 0.05). This analysis highlights the importance of sprinting, decelerating, and turning for goal-scoring. Therefore, enhancing players' physiological and mechanical reserves to undertake these actions, as and when required during match-play, appears prudent. Further, analysts/coaches may apply this information to identify decisive goal-scoring actions and design targeted training drills accordingly.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12640733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145590480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Megan Lowery, Samuel J. Oliver, Ross Roberts, Clare Barwood, Emily Dunn, Eleanor Langham-Walsh, Ben Holliss, Lizzie Wraith, Tim Woodman, Gavin Lawrence, Victoria M. Gottwald, James Hardy
The impact of National Governing Body talent development programmes on injury, illness, sleep, wellbeing and stress of developing elite athletes (DEA) is poorly understood. Therefore, we examined differences between age-matched DEA (n = 42, 25 females; Mage = 21.0; SD = 2.5) and recreationally active athletes (RAA, n = 79, 56 females; Mage = 21.2; SD = 2.8) on these variables over 14 weeks of training using a weekly online monitoring tool. Compared to RAA, DEA completed a greater proportion of planned training and competition without health problems or reducing training volume. Despite training more hours (DEA M = 17.1; SD = 5.1, RAA M = 6.0; SD = 3.2, p < 0.001), DEA reported similar recovery, higher readiness to train, more sleep, better sleep quality, higher wellbeing (DEA M = 68%; SD = 15, RAA M = 56% SD = 16, p < 0.001), lower stress and fewer injuries, resulting in fewer days lost to injuries than RAA (DEA M = 0.4; SD = 1.5, RAA M = 2.5 SD = 6.7, p = 0.01). There was no difference between DEA and RAA in the prevalence of illness or days lost due to illness. In conclusion, despite a greater training and competition load, DEA reported better health and wellbeing than RAA, suggesting the increased demands of National Governing Body talent development programmes may not adversely affect health. These findings also highlight the benefits and importance of talent development systems undertaking a holistic and multidisciplinary approach to athlete monitoring.
国家管理机构人才发展计划对发展中的精英运动员(DEA)的伤害、疾病、睡眠、健康和压力的影响知之甚少。因此,我们使用每周在线监测工具检查了年龄匹配的DEA (n = 42,25名女性;Mage = 21.0; SD = 2.5)和娱乐性运动运动员(RAA, n = 79,56名女性;Mage = 21.2; SD = 2.8)在14周训练期间这些变量的差异。与RAA相比,DEA在没有健康问题或减少训练量的情况下完成了更大比例的计划训练和比赛。尽管训练时间更长(DEA M = 17.1; SD = 5.1, RAA M = 6.0; SD = 3.2, p
{"title":"A Comparison of Training, Injury, Illness, Sleep, Wellbeing and Stress Between Developing Elite and Recreational Athletes","authors":"Megan Lowery, Samuel J. Oliver, Ross Roberts, Clare Barwood, Emily Dunn, Eleanor Langham-Walsh, Ben Holliss, Lizzie Wraith, Tim Woodman, Gavin Lawrence, Victoria M. Gottwald, James Hardy","doi":"10.1002/ejsc.70093","DOIUrl":"10.1002/ejsc.70093","url":null,"abstract":"<p>The impact of National Governing Body talent development programmes on injury, illness, sleep, wellbeing and stress of developing elite athletes (DEA) is poorly understood. Therefore, we examined differences between age-matched DEA (<i>n</i> = 42, 25 females; <i>M</i>age = 21.0; SD = 2.5) and recreationally active athletes (RAA, <i>n</i> = 79, 56 females; <i>M</i>age = 21.2; SD = 2.8) on these variables over 14 weeks of training using a weekly online monitoring tool. Compared to RAA, DEA completed a greater proportion of planned training and competition without health problems or reducing training volume. Despite training more hours (DEA <i>M</i> = 17.1; SD = 5.1, RAA <i>M</i> = 6.0; SD = 3.2, <i>p <</i> 0.001), DEA reported similar recovery, higher readiness to train, more sleep, better sleep quality, higher wellbeing (DEA <i>M</i> = 68%; SD = 15, RAA <i>M</i> = 56% SD = 16, <i>p <</i> 0.001), lower stress and fewer injuries, resulting in fewer days lost to injuries than RAA (DEA <i>M</i> = 0.4; SD = 1.5, RAA <i>M</i> = 2.5 SD = 6.7, <i>p =</i> 0.01). There was no difference between DEA and RAA in the prevalence of illness or days lost due to illness. In conclusion, despite a greater training and competition load, DEA reported better health and wellbeing than RAA, suggesting the increased demands of National Governing Body talent development programmes may not adversely affect health. These findings also highlight the benefits and importance of talent development systems undertaking a holistic and multidisciplinary approach to athlete monitoring.</p>","PeriodicalId":93999,"journal":{"name":"European journal of sport science","volume":"25 12","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12640734/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145590570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}