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。
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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}