Wiley

European Journal of Sport Science

Published by Wiley and European College of Sports Science

Online ISSN: 1536-7290

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Print ISSN: 1746-1391

Disciplines: Sports medicine

Journal websiteAuthor guidelines

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Performance and physiological characteristics throughout the hour record simulation. (A) Speed, (B) lap time, (C) power, (D) cadence, (E) heart rate and (F) estimated body temperature. Dotted vertical line denotes the point of task failure; * denotes a significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Aerodynamic characteristics throughout the hour record simulation. (A) CDA, (B) helmet angle, (C) helmet rotation, (D) helmet rock. Dotted vertical line denotes the point of task failure; * denotes significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Aerodynamic characteristics throughout the hour record simulation. (A) Foot segment range, (B) foot segment range during the first 90° ([Q1]) of the pedalling cycle, (C) thigh segment range, (D) leg smoothness. Dotted vertical line denotes the point of task failure; * denotes a significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Case study of a world hour record simulation in an elite cyclist: Insight into task failure

November 2024

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2,155 Reads

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Dan Bigham

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Jacob Tipper

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[...]

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Jonathan Wale
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Aims and scope


The European Journal of Sport Science (EJSS) is an open access journal and the official journal of the European College of Sport Science. EJSS shares the College’s multi-disciplinary aims, publishing on topics of contemporary, worldwide importance across the sub-disciplines of: Applied Sport Science; Biomechanics and Motor Control; Physiology and Nutrition; Psychology, Social Sciences and Humanities; and Sport and Exercise Medicine and Health.

Recent articles


Example of model fit for 1st order ARX structure with time‐varying parameters for speed (R² = 0.89; RMSE = 9.6 bpm) and power (R² = 0.98; RMSE = 2.9 bpm) compared to the raw HR data. The lower panel shows the corresponding power and speed data. The *‐symbols indicate the moments at which the data of [BLa] and RPE were sampled. HR, heart rate; RMSE, root mean square error; RPE, rating of perceived exertion.
Modelling heart rate dynamics in relation to speed and power output in sprint kayaking as a basis for training evaluation and optimisation
  • Article
  • Full-text available

December 2024

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4 Reads

Gielen Jasper

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Catherine Smets

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Noor Vidts

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[...]

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Aerts Jean‐Marie

With the development of power output sensors in the field of paddle sports and the ongoing advancements in dynamical analysis of exercise data, this study aims to model the measurements of external training intensity in relation to heart rate (HR) time‐series during flat‐water kayak sprint. Nine elite athletes performed a total of 47 interval training sessions with incremental intensity (light to (sub‐) maximal effort levels). The data of HR, speed and power output were measured continuously and rating of perceived exertion and blood lactate concentration ([BLa]) were sampled at the end of each interval stage. Different autoregressive‐exogenous (ARX) modelling configurations are tested, and we report on which combination of input (speed or power), model order (1st or 2nd), parameter estimation method (time‐(in)variant) and training conditions (ergometer or on‐water) is best suited for linking external to internal measures. Average model R² values varied between 0.60 and 0.97, with corresponding average root mean square error values of 15.6 and 3.2 bpm. 1st order models with time‐varying (TV) parameter estimates yield the best model performance (average R² = 0.94). At the level of the individual athlete, the TV modelling features (i.e., the model parameters and derivatives such as time constant values) show significant repeated measure correlations in relation to measures of exercise intensity. In conclusion, the study provides a comprehensive description of how the dynamic relationship between external load and HR for sprint kayaking training data can be modelled. Such models can be used as a basis for improving training evaluation and optimisation.


Changes in the results of maximum voluntary isometric contraction (MVC), delayed onset muscle soreness (DOMS), straight leg raise (SLR), and plasma myoglobin (Mb) concentration at multiple time points after the participants received the cold‐water immersion treatment (CWI). In panels (A)–(D), * indicates the MVC, DOMS, SLR, and plasma Mb concentration results of the CWI group and the control group (CG) revealed significant interaction effects (p < 0.05). # indicates significant differences between the MVC, DOMS, SLR, and plasma Mb concentration results of the CWI group and CG at multiple time points (p < 0.05).
Effect of cold‐water immersion treatment on recovery from exercise‐induced muscle damage in the hamstring

December 2024

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2 Reads

Yuh‐Chuan Huang

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Tai‐Ying Chou

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Trevor C. Chen

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Hung‐Ting Chen

This study investigated the effect of five consecutive days of cold‐water immersion (CWI) on recovery from exercise‐induced muscle damage (EIMD) in the hamstrings following maximal eccentric contraction (EC) exercise. Eighteen healthy adult women were randomly assigned to a CWI group and a control group (CG) (n = 9/group). Participants performed 10 sets of 10 repetitions of isokinetic EC at 30°/second and underwent maximum voluntary isometric contraction (MVC), delayed onset muscle soreness (DOMS) assessment, straight leg raise (SLR) test, and plasma myoglobin (Mb) measurement. The CWI group received one 14‐min session of CWI treatment (14°C) at 1, 25, 49, 73, and 97 h after the EC test, whereas the CG rested in a seated position at the same five time points without receiving treatment. (1) All the dependent variables in the CWI group and CG exhibited significant changes after the EC test (p < 0.05). (2) The recovery effect in the CWI group was significantly greater than in the CG in terms of the MVC, DOMS, SLR, and plasma Mb concentration results. MVC increased by 89.3 ± 2.0% on the fourth day (p < 0.013), DOMS decreased by 15.4 ± 1.5 mm on the second day (p < 0.000), SLR increased by 86.3 ± 1.1% on the second day (p < 0.014), and plasma Mb decreased by 436.3 ± 60.8% on the third day (p < 0.014). The study indicates that five consecutive days of CWI at 14°C significantly enhance recovery from exercise‐induced muscle damage in the hamstrings.


Track instrumentation location (proprietary development).
Differences in tibia acceleration magnitude. #, Significant differences between the legs (inside vs. outside); *, significant differences between lanes.
Evaluating acceleration impact asymmetries during sprinting: Analyzing leg and track lane disparities among national athletes

December 2024

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6 Reads

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Pedro Pérez‐Soriano

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Alberto Encarnación‐Martínez

Sprinting on bends demands biomechanical adjustments compared with straight‐line sprinting that results in asymmetrical force production in the lower extremities. This study aimed to assess acceleration impacts in the lower extremity and impact transmission when sprinting on bend versus straight lanes. Eight experienced sprinters (age 16.3 ± 1.7 years, mass 58.5 ± 11.4 kg, and height 1.72 ± 0.10 m), specializing in the 100, 200, and 400 m events, ran two bouts of 60 m lane heats at maximum speed on the straight lane and bend lanes one and eight (with radii of 37 and 45.10 m, respectively) of a standard 400 m track. Accelerometers on the tibias and head recorded acceleration impacts. Results revealed higher impact magnitudes in the outside leg during bend sprints compared with the inside leg (p < 0.05). Additionally, bend lanes exhibited higher impact magnitudes compared with the straight lane (p < 0.05). Asymmetrical acceleration impacts were observed during bend sprints, with greater asymmetry compared to straight sprints. However, the distribution of impact forces between the legs did not appear to be influenced by lane radius. This suggests that the specific biomechanical demands of bend sprinting differ significantly from those of straight sprinting. These findings emphasize the need for coaches to account for increased asymmetry and distinct impact patterns when training athletes for bend sprints compared to straight‐line sprints.


Repeated sprint performance after the four supplementation protocols according to the sex and supplement condition. Peak power output (A), mean power output (B), time to reach Wpeak (C), fatigue index (D), and plasma lactate (E). The comparison was made with the entire cohort (52 participants) composed of 26 females and 26 males. *P < 0.05 CAF compared to PLA in male participants; #P < 0.05 CAF compared to PLA in female participants; and $, sex differences. CAF, caffeine; PLA, placebo; Wpeak, peak power output.
Sex differences in the acute effect of caffeine on repeated sprint performance: A randomized controlled trial

December 2024

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6 Reads

Alberto Pérez‐López

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Laura Garriga‐Alonso

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Juan Jesús Montalvo‐Alonso

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Carmen Ferragut

This study aimed to examine sex differences in acute caffeine intake on repeated sprint performance. Fifty‐two resistance‐trained individuals (age: 24.6 ± 4.5 years and sex (female/male): 26/26) participated in a randomized, triple‐blind, cross‐over, and placebo‐controlled study. Participants ingested 3 mg/kg caffeine or placebo and, after 60 min, performed 4 Wingate tests (Wt), consisting of a 30 s all‐out lower‐body sprint against an individualized resisted load, with 90 s rest periods between sprints. Mean (Wmean) and peak (Wpeak) power showed an interaction between sprint and supplement (P = 0.038, ηp² = 0.095 and P < 0.001, ηp² = 0.157, respectively), but only Wpeak reported a supplement and sex interaction (P = 0.049 and ηp² = 0.166). Caffeine increased Wmean in Wt3 (3.5%, P = 0.004, and g = 1.059) and Wt4 (3.9%, P = 0.012, and g = 1.091) compared to placebo. Whereas, for Wpeak, caffeine increased Wpeak in the Wt1 (2.9%, P = 0.050 and g = 1.01) and Wt2 (3.2%, P = 0.050, and g = 1.01) in males and in Wt3 (5.2%, P = 0.008, and g = 1.79) and Wt4 (8.1%, P = 0.004, and g = 2.27) in female participants compared to placebo. No statistically significant sex differences were found in time to reach Wpeak, fatigue index. Acute caffeine intake stimulated a similar ergogenic effect on repeated sprint performance in men and women, except in peak power output, where caffeine increased performance during the first sprints in males and the last sprints in female participants.


Flowchart of included runners. Of the 11,313 runners eligible for inclusion, 4452 were excluded and 6861 were included. BMI, body mass index and RRI, running related injury.
Kaplan–Meier graphs for the proportion of injury‐free runners using kilometers as timescale on the x‐axis. (A) Displays the runners without a previous running‐related problem, whereas (B) displays the runners with a previous running‐related problem.
Runners with a high body mass index and previous running‐related problems is a high‐risk population for sustaining a new running‐related injury: A 18‐month cohort study

December 2024

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2 Reads

High body mass index (BMI) and a previous running‐related injury (RRI) have been highlighted as two risk factors for sustaining an RRI. However, a critical gap exists in the knowledge of whether runners with both elevated BMI and a previous RRI constitute a particularly vulnerable subgroup in terms of susceptibility to new RRIs. Therefore, the present study aimed to evaluate if those with high BMI and a concomitant history of running‐related problems in the past 3 months were more prone to sustain a new RRI compared with runners with normal BMI and without previous running‐related problems. This study was part of the “Garmin‐RUNSAFE Running Health Study,” an 18‐month cohort study. The runners completed a baseline questionnaire containing questions regarding demographic data and previous running‐related problems and were asked to continuously track their running activities. The exposure were dichotomized into “no previous running‐related problem” or “previous running‐related problem,” and each group was further categorized into four subgroups depending on BMI. Time‐to‐event analysis was used to estimate the cumulative incidence risk difference (cIRD). The results highlight those with a BMI >30 kg/m² with a previous running‐related problem to face the highest injury risk of 71%, whereas those with a BMI between 19 and 25 kg/m² without a previous running‐related problem had the lowest injury risk of 43% corresponding to a cIRD of 28% [95% CI: 19%; 36%]. This result highlights those with high BMI and previous running‐related problems as a high‐risk subpopulation that would benefit from interventions of preventing running‐related injuries.


The genuine picture of active 3‐dimensional movement extent discrimination apparatus.
The design of the active 3‐dimensional movement extent discrimination apparatus (Part 1: supporting platforms; Part 2: motion platform; and Part 3: physical stops).
ROC curve for AMEDA‐3D scores identifying the CAI state. AMEDA‐3D, active 3‐dimensional movement extent discrimination apparatus; CAI, chronic ankle instability; ROC, receiver operating curve.
Development of a 3D active movement extent discrimination apparatus for testing proprioception at the ankle joint with inversion movements made in plantarflexion

December 2024

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16 Reads

Proprioception plays an important role in joint stability, and ankle sprains usually happen involving plantarflexion, internal rotation, and inversion. However, ankle 3D movement proprioception has never been measured in weight‐bearing. Accordingly, the active 3‐dimensional movement extent discrimination apparatus (AMEDA‐3D) was developed and its reliability and validity were investigated. A total of 58 subjects volunteered for this trial, with 12 subjects with chronic ankle instability (CAI) and 12 healthy controls in the test–retest reliability study. There were 17 subjects with CAI and 17 healthy controls in the validity study. An intraclass correlation coefficient (ICC) and Minimum Detectable Change at the 90% confidence interval (MDC90) were computed. AMEDA‐3D scores were analysed by independent samples t‐tests, and Youden's index was used to calculate the optimal AMEDA‐3D cut‐off for discriminating individuals with CAI. Pearson's correlation analysis was used to explore the relationship between AMEDA‐3D scores and Y Balance Test (YBT), Time In Balance Test (TIB), and Cumberland Ankle Instability Tool (CAIT) scores. The main results were as follows: (1) The ICC(3,1) value of AMEDA‐3D scores was 0.817 (95% CI = 0.452–0.945) in CAI subjects. (2) The AMEDA‐3D proprioceptive area under the curve score used to discriminate CAI subjects from healthy controls was 0.778, with a sensitivity of 94% and a specificity of 82%. (3) AMEDA‐3D proprioceptive scores were moderately correlated with CAIT scores (r = 0.58 and p < 0.001), YBT (r = 0.47 and p = 0.005), and TIB (r = 0.68 and p < 0.001). Our findings suggest that the AMEDA‐3D tool shows good reliability and validity for clinical assessment of proprioceptive deficits associated with CAI. Improved ankle 3D motor proprioception may positively impact subjects' balance control, self‐rated symptoms, and function.


(A) Overview of the experimental protocol. (B) Summary of the reactive agility and physiological data obtained during the pretest, posttest, and retention test. Values represent mean (± standard deviation).
(A) Illustration of the SKILLCOURT technology used in this study. (B) Random Star Run test used for assessing reactive agility performance prior to the experiment after the fatiguing protocol and after the rest condition (active or passive). (C) Shape Jump exercise addressing conflict inhibition as part of the active break condition. (D) Remember forms exercise addressing decision‐making and working memory as a part of the active break condition.
Illustration of agility performance (A) lactate, (B) heart rate, (C) and RPE values for the pretest baseline test, posttest following the fatiguing protocol, and retention test after the active (black line) or passive (gray line) break. Error bars indicate 95% confidence intervals. ** = p < 0.01 and *** = p < 0.001.
Active motor‐cognitive recovery supports reactive agility performance in trained athletes

December 2024

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23 Reads

Active breaks are suggested to support recovery and performance in sports. Previous research in ball and team sports focused on motor performance such as repetitive sprinting or change of direction. This does not account for the interaction between motor and cognitive task demands in sports. Therefore, this study is the first to investigate the effectiveness of an active motor‐cognitive break to support reactive agility performance. Twenty (7 female and 13 male) healthy trained young adults (mean age: 26 years) performed an active or passive 5 min break following a fatiguing protocol of six 100 m reactive agility runs with an intermittent break of 40 s. Prior to the experiment (pre), after fatigue (post), and following the rest condition (retention), a reactive agility test was performed using the SKILLCOURT technology. In addition, lactate, heartrate, and physical exertion were recorded. Active rest contained two motor‐cognitive training tasks on the SKILLCOURT combining low to moderate physical intensity with conflict inhibition and decision‐making. During passive rest, participants remained seated. When comparing post and retention agility tests, results indicate significantly stronger performance gains following the active when compared to the passive break condition (p = 0.02 and ηp² = 0.24). This was not associated with any differences in physiological parameters such as lactate, heart rate, or RPE (p ≥ 0.25). The results suggest that active motor‐cognitive breaks support recovery and improve sport‐related reactive agility performance. Performance gains in the active break are likely attributable to cognitive performance effects rather than physiological recovery, which may benefit athletes especially in ball and team sports.


Box plots depicting the finishing times for the 8 finalists in the freestyle events for the 10‐and‐under age group in the National Club Swimming Association Age Group Championships during the years 2016–2023*. The boxes include the first and third quartiles, with the median shown as a solid black line. The whiskers represent the range of data within 1.5* the interquartile range beyond the box boundaries. The solid lines between boxes connect the means. (A). 50 yards (45.7 m) freestyle. p = 0.012 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.439 (B). 100 yards (91.4 m) freestyle. p = 0.049 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.376 (C). 200 yards (182.9 m) freestyle. p = 0.014 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.472 (D). 500 yards (457.2 m) freestyle. p = 0.125 for males (n = 47) versus females (n = 47), effect size (Hedges' g) = 0.313. *This swimming meet was not held in 2020 due to the COVID‐19 pandemic.
Box plots depicting the finishing times for the eight finalists in the backstroke and breaststroke events for the 10‐and‐under age group in the National Club Swimming Association Age Group Championships during the years 2016–2023*. The boxes include the first and third quartiles, with the median shown as a solid black line. The whiskers represent the range of data within 1.5* the interquartile range beyond the box boundaries. The solid lines between boxes connect the means. (A). 50 yards (45.7 m) backstroke. p = 0.055 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.372 (B). 100 yards (91.4 m) backstroke. p = 0.040 for males (n = 55) versus females (n = 55), effect size (Cohen's d) = 0.396 (C). 50 yards (45.7 m) breaststroke. p = 0.049 for males (n = 52) versus females (n = 56), effect size (Hedges' g) = 0.382 (D). 100 yards (91.4 m) breaststroke. p = 0.449 for males (n = 55) versus females (n = 55), effect size (Cohen's d) = 0.145. *This swimming meet was not held in 2020 due to the COVID‐19 pandemic.
Box plots depicting the finishing times for the eight finalists in the butterfly and individual medley (IM) events for the 10‐and‐under age group in the National Club Swimming Association Age Group Championships during the years 2016–2023*. The boxes include the first and third quartiles, with the median shown as a solid black line. The whiskers represent the range of data within 1.5* the interquartile range beyond the box boundaries. The solid lines between boxes connect the means. (A). 50 yards (45.7 m) butterfly. p = 0.267 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.207 (B). 100 yards (91.4 m) butterfly. p = 0.002 for males (n = 56) versus females (n = 55), effect size (Hedges' g) = 0.590 (C). 100 yards (91.4 m) IM. p = 0.006 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.532 (D). 200 yards (182.9 m) IM. p = 0.004 for males (n = 56) versus females (n = 56), effect size (Cohen's d) = 0.550. *This swimming meet was not held in 2020 due to the COVID‐19 pandemic.
Sex‐based differences in swimming performance in 10‐years‐old‐and‐under athletes in short course national competition

December 2024

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6 Reads

The need for sex‐segregated youth swimming is debated. A previous report indicates that male swimmers aged 10‐and‐under are 1%–2% faster than females in long course freestyle, butterfly, backstroke, and individual medley (IM), but not breaststroke events. Another report indicates that at age 10 males are 1%–2.5% faster than females in long course freestyle events. However, there are no evaluations for short course competitions. Therefore, the top eight performances for both sexes from the National Club Swimming Association Age Group Championships (a short course meet) for the years 2016–2023 in the 10‐and‐under age group were analyzed. Males were 1.16%–2.63% faster (p < 0.05; effect sizes 0.376–0.596) than females in the 50 yards (yd; 45.7 m), 100 yd (91.4 m), and 200 yd (182.9 m) freestyle, 100 yd backstroke, 50 yd breaststroke, 100 yd butterfly, and 100 and 200 yd IM. There were no significant sex‐based differences in the 500 yd (457.2 m) freestyle, 50 yd backstroke, 100 yd breaststroke, or 50 yd butterfly. The individual fastest time for a female was faster than for a male in the 50, 100, and 500 yd freestyle, 50 and 100 yd backstroke, 50 and 100 yd butterfly, and 100 yd IM. Although in eight out of 12 events the individual fastest times were from females, in eight out of 12 events the average male times were significantly faster. The present data suggest that although some exceptional individual 10‐and‐under female swimmers do exist, their performance is not representative of the typical sex‐based differences in swimming performance.


Outline of the study design. The BLOCK group performed a 6‐day high‐intensity interval training (HIT) microcycle followed by a 6‐day active recovery period with reduced training load. The regular training group (REG) group continued to perform their regular training for the similar time period, including two HIT sessions per week. Physiological testing was performed before and after the training periods.
An overview of the prolonged cycling test, consisting of (1) a lactate profile test, (2) 5 min of active recovery, (3) a 10‐s seated all‐out sprint, (4) 5 min of active recovery, (5) a V̇O2max test, (6) 5 min of active recovery, (7) 30 min at a power output corresponding to 2.0 mmol·L⁻¹ [blood lactate], with repetition of the third‐ and second‐last 5‐min step from the lactate profile test, (8) 1 min of rest, and (9) a 15‐min maximal cycling trial.
Individual data points (dotted lines) and mean values (solid lines) for (A) maximal 1‐min incremental power output (PO) during the maximal oxygen consumption (V̇O2max) test (POV̇O2max), (B) PO at 4 mmol·L⁻¹ lactate concentration (PO4mmol), (C) maximal average PO during the 15‐min cycling trial (PO15‐min), (D) the performance index, (E) V̇O2max, and (F) 10‐s mean power output (PO10‐sec), before (pre) and after (post) the high‐intensity interval microcycle and the active recovery period (BLOCK) and the regular training period (REG). The values presented in each panel represent the mean (standard deviation) percentage change in the respective variables in BLOCK and REG, respectively. #Absolute change significantly greater in BLOCK compared to REG (p ≤ 0.05). $Absolute change tends to be greater in BLOCK compared to REG (p < 0.1 and >0.05).
A microcycle of high‐intensity short‐interval sessions induces improvements in indicators of endurance performance compared to regular training

December 2024

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373 Reads

The purpose of this study was to evaluate the effects of a microcycle of high‐intensity interval training (HIT) sessions with multiple short work intervals followed by an active recovery period, compared to a similar duration of regular training, on determinants and indicators of endurance performance in well‐trained cyclists. The participants in the BLOCK group performed a 6‐day HIT microcycle including five HIT sessions (5 × 8.75‐min 30/15 s short intervals) followed by a 6‐day active recovery period with reduced training load, while the regular training group (REG) performed 12 days of their regular training, including four HIT sessions. Physiological testing was performed before and after the training periods. From pre‐ to post‐ intervention, BLOCK demonstrated significantly larger improvements than REG in mean power output (PO) during the last min of the maximal oxygen uptake (VO2max) test (POVO2max) (3.7 vs. 0.7%, p = 0.009, and effect size (ES) = 1.00) and mean PO during the 10‐s sprint (2.8 vs. 1.9%, p = 0.028, and ES = 0.63). No significant differences between BLOCK and REG were observed for VO2max, PO at 4 mmol·L⁻¹ [blood lactate] (PO4mmol), 15‐min maximal mean power output (PO15‐min), and gross efficiency (p = 0.156–0.919). However, there was a tendency for larger improvements in the performance index (calculated from the main performance indicators POVO2max, PO4mmol, and PO15‐min) in BLOCK compared to REG (2.9% vs. 1.2%, p = 0.079, and ES = 0.71). A 6‐day high‐intensity short‐interval microcycle followed by a 6‐day active recovery period induces improvements in endurance performance indicators compared to regular training, demonstrating its potential as an efficient strategy for endurance training in well‐trained cyclists.


SPM analysis comparing variation of muscle oxygen saturation (∆SmO2) in three muscles in the preferred and nonpreferred limbs. Column A shows the graded exercise test and column B shows the functional threshold power test. The left side of each column shows the averaged time series of the SmO2 variation. The shaded area represents the standard deviation of the SmO2 variation. The right of each column depicts the paired t‐test of muscle oxygen saturation activity of the control condition compared to the muscle oxygen saturation. The vertical axis displays the one SPM {t}. A significant effect is present at instances where the black solid profile exceeds the horizontal dotted line placed on the top and bottom of the figures.
Bland–Altman plots analysis for showing the differences in several muscles of the preferred and nonpreferred limb for the graded exercise test (GXT; column A) and functional threshold power test (8MTT; column B) expressed in SmO2 variation (%) during the full tests expressed as a percent of total duration for each individual (0%–100%). The central continuous blue line represents the absolute average difference between instruments (Bias) and the upper and lower red lines represent ±1.96 standard deviations (SD).
Distribution of cyclists regarding muscle oxygen saturation asymmetries among the analyzed sample during the tests (GXT, column A and FTP, column B). The dotted line marks the percentile 10 and 90. The different colors show five segments of tests and the white color shows the first segment of the tests.
Evaluation of leg symmetry in muscle oxygen saturation during submaximal to maximal cycling exercise

December 2024

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105 Reads

It is unclear whether physiological responses, such as muscle oxygen saturation (SmO2), can be considered symmetrical during cycling. This knowledge has important practical implications for both training and performance assessment. The aim of this study was to determine whether oxygenation profiles in the three active muscles of both legs were symmetrical during cycling at different intensities. Twenty‐six trained cyclists and triathletes completed a graded exercise test (GXT) and an 8‐min functional threshold power estimation test (8MTT) on a cycle ergometer over two nonconsecutive days. SmO2 was bilaterally assessed using NIRS technology in the vastus lateralis, gastrocnemius medialis, and tibialis anterior. Symmetry was compared between legs in both tests, and reliability and agreement between the measurements were quantified. The main results were that SmO2 in the three muscles assessed did not differ between legs during the GXT and 8MTT (p > 0.05). Reliability of the measures was poor to good in the vastus lateralis (ICC = 0.83–0.37), moderate to excellent in the tibialis anterior (ICC = 0.92–0.73), and poor to good for the gastrocnemius medialis (ICC = 0.80–0.24). Overall, the group variability in SmO2 showed a narrower distribution at lower intensities, with data dispersion increasing at higher intensities. In conclusion, the SmO2 was similar and showed symmetrical responses in both the preferred and nonpreferred limb in different muscles assessed during cycling at different intensities within a range of 10%–20%. Although individual physiological differences that might be relevant in some clinical/performance settings should not be disregarded, these findings indicate that measuring a single lower limb provides an accurate approximation of the responses in both lower limbs.


Active movement extent discrimination assessment (AMEDA). (A) AMEDA device diagram, (B) wooden stopper with adjustable plantar flexion angle, (C) demonstration of starting test position, and (D) a presented plantar flexion angle.
Ankle proprioception and functional performance in patients with Achilles tendinopathy

December 2024

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55 Reads

The purpose of this study was to investigate differences in ankle plantar flexion proprioception and lower extremity function between Achilles tendinopathy (AT) patients and healthy controls. 17 patients with midportion AT (age 22.0 ± 3.0, 7 females, and 10 males) and 17 healthy controls (age 21.5 ± 2.1, 7 females, and 10 males) were recruited. The following tests were performed randomly: the ankle plantar flexion active movement extent discrimination assessment (AMEDA), weight‐bearing lunge test (WBLT), single leg hop test, figure‐of‐eight hop test, Y Balance Test (YBT), and lower extremity functional test (LEFT). Group comparisons were made between the AT and healthy groups, and receiver operator characteristic (ROC) curves were used to analyze the ability of tests to differentiate between participants with and without AT. Results showed that the AT group performed significantly worse in the ankle proprioception test (p = 0.016), single leg hop test (p = 0.001), figure‐of‐eight hop test (p < 0.001), unilateral LEFT (p = 0.001), and LEFT injury risk score (p = 0.001) than healthy controls. No significant between group difference was found in WBLT and YBT. Diagnostic analysis showed that the AMEDA (p = 0.018), single leg hop test (p = 0.003), figure‐of‐eight hop test (p = 0.002), and LEFT (p = 0.001) could differentiate between patients with AT and the healthy individuals. The current study demonstrated that ankle proprioception and functional performance involving explosive jump are impaired in patients with AT, suggesting poorer dynamic neuromuscular function and a higher risk of lower limb injury in this population, and furthermore, these tests should be considered in the assessment for AT.


Comparison of distribution of performance scores for the trained soldier cohort from the study cohort versus wider Army population from the Fitness Information Software System (FISS) for each of the six Soldier Conditioning Review tests (A) 2 km run (B) standing broad jump, (C) seated medicine ball throw, (D) hex bar deadlift, (E) pull‐ups and (F) 100 m shuttle sprints. The curves show the distribution of the individual tests from the trained soldiers (solid) and FISS data (dashed).
A comparison of role‐related physical fitness between British Army trainees and trained soldiers

December 2024

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43 Reads

British Army basic training (BT) and initial trade training (ITT) enable personnel to develop role‐related physical capability to perform in‐service job‐roles. The study aimed to compare physical performance of trainees (completing ITT) and trained soldiers, on a series of gym‐based fitness tests and representative military tasks. A total of 316 British Army personnel [68 trainees (63 men: 22 ± 3 years, 71.6 ± 8.4 kg and 1.74 ± 0.07 m) and 248 trained soldiers (225 men: 27 ± 6 years, 78.7 ± 12.7 kg and 1.76 ± 0.08 m)] completed two sessions. Session 1; body mass, stature, age and gym‐based tests (2 km run, broad jump, seated medicine ball throw, hex bar deadlift, 100 m shuttle sprints, pull‐ups and mid‐thigh pull). Session 2; representative military tasks (loaded carriage [stage 1, 4 km, 35–40 kg and 4.8 km h⁻¹ fixed pace and stage 2, 2 km, 20–25 kg and individual best‐effort speed], tactical movement, casualty drag, stretcher carry, vertical lift, repeated carry and incremental lift). Independent sample t‐tests were employed to examine group differences. Compared to trainees, trained soldiers were older (p < 0.001), heavier (p < 0.001) and scored higher on broad jump (p = 0.024), medicine ball throw (p = 0.007) and mid‐thigh pull (p = 0.048), but were slower on 2 km run (p = 0.047), loaded carriage (p < 0.019), tactical movement (p < 0.001) and casualty drag (p < 0.001). Overall, trainees achieve higher scores on aerobic/anaerobic tests, whereas trained soldiers outperform trainees in strength/power‐based tests. Although a cross‐sectional comparison does not provide strong evidence, the results may indicate that cardiovascular fitness is developed during BT, whereas muscle strength/power develops post BT/ITT. These findings would need confirming by a longitudinal study and could inform the development/management of role‐related fitness during BT, ITT and through career.


Power output (PO) (A) during the 15 min cycling bout at each condition and % difference in PO (B) between normoxia and hypoxia at heart rate (HR) clamped at lactate threshold 1 and lactate threshold 2. Values are means ± SD (n = 12). LT1, HR clamped at lactate threshold 1 and LT2, HR clamped at lactate threshold 2. $Significant difference compared to previous timepoint. *Significant difference between normoxia and hypoxia. #Significant difference between LT1 and LT2.
Systemic hypoxia has a larger effect on reducing the external load at lower exercise intensity during heart rate clamped cycling

December 2024

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42 Reads

The effects of acute hypoxic exposure on mechanical output and internal responses during cycling with heart rate (HR) clamped at lactate thresholds 1 and 2 (LT1 and LT2, respectively) were investigated. On separate days, 12 trained males cycled for 15 min at a clamped HR corresponding to LT1 and LT2 under normoxic or hypoxic conditions (simulated altitude of ∼3500 m and inspired oxygen fraction of 13.6%). Power output (PO), arterial oxygen saturation, ventilatory and perceptual responses were measured every 3 min, with metabolic response assessed pre‐ and post‐exercise. At LT1, PO was consistently lower in hypoxia compared to normoxia (p < 0.01). At LT2, PO was not different between normoxia and hypoxia at 3 and 6 min (both p > 0.42) but was significantly lower in hypoxia at 9, 12 and 15 min (all p < 0.04). Overall, hypoxia induced a greater decrease in PO at LT1 (−33.3% ± 11.3%) than at LT2 (−18.0 ± 14.7%) compared to normoxia. Ventilatory, perceptual and metabolic responses were influenced by exercise intensity (all p < 0.01) but not environmental conditions (all p > 0.17). A simulated altitude of ∼3500 m is more effective in reducing cycling PO at LT1 than LT2 during HR clamped cycling while maintaining other internal loads. Therefore, normobaric hypoxia provides a greater benefit via a larger decrease in the mechanical constraints of exercise at lower exercise intensities.


Comparing talent development environments of girls and boys in handball and ice hockey in Norway

December 2024

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35 Reads

Currently, there is little research on successful talent development environments (TDEs) focusing on women and girls. In response, the main aim of the present study was to compare TDEs of age‐specific national teams for girls and boys in the Norwegian context (N = 216: 92 girls and 124 boys). Gender differences were investigated in the two different sports of handball and ice hockey, which in the Norwegian context represent more and less successful sports (handball and ice hockey, respectively). Before investigating gender differences in the two sports, a necessary first step was to investigate the psychometric properties of Norwegian version of the Talent Development Environment Questionnaire (TDEQ‐5). Results support the Norwegian TDEQ‐5 to be a reliable and valid measure within the Norwegian context. The successful sport of Norwegian handball showed no significant gender differences regarding TDE. The less successful and male dominated sport of Norwegian ice hockey showed girls to score lower on several TDEQ factors compared to boys. Results also showed ice hockey having lower TDEQ scores compared to handball. We argue that handball provide similarly functional TDEs for girls and boys, making gender equality a characteristic feature of a TDE that is successful both in terms of mass participation and international achievements.


The association between resistance training volume load and session rating of perceived exertion in junior developmental female rugby league athletes

November 2024

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27 Reads

Field‐based team sports typically perform mixed‐modality training, incorporating both field‐ and resistance‐based sessions. As such, the availability of useful and reliable methods to monitor the internal and external training loads of all modalities is essential for planning effective training. Twenty‐one junior developmental female rugby league athletes (age: 17.5 ± 0.5 years, height: 167.7 ± 4.6 cm, body mass: 71.1 ± 12.9 kg, and training age: 2.3 ± 1.1 year) performed two to three resistance training sessions a week for 20 weeks (9 weeks preseason and 11 weeks in‐season). The volume load method and session rating of perceived exertion (sRPE) were used to quantify the external and internal load of the resistance training sessions, respectively. Volume load was categorised into either dynamic, plyometric, maximal or repeated efforts. Multiple linear mixed models were performed to determine whether significant relationships were present between the changes in volume load components and sRPE throughout the season. Significant relationships were identified between a decrease in sRPE, with associated increases in absolute and relative overall volume load (T1,725.5 = −2.1, p = 0.04; T1,133.5 = −2.2, p = 0.03), and relative dynamic (T1,24.1 = −8.4, p < 0.01) and lower‐body plyometric efforts (T1,16.8 = −17.2, p < 0.01). Conversely, significant relationships were observed between an increase in sRPE, with associated increases in relative lower‐body (T1,20.3 = 12.9, p < 0.01) and upper‐body repeated efforts (T1,28.5 = 9.7, p = 0.03) as well as relative upper‐body plyometric (T1,71.1 = 2.9, p = 0.01) and maximal efforts (T1,75.3 = 3.4, p < 0.01). These findings highlight the practicality of the volume load method for planning and monitoring resistance training in field‐based team sport athletes, providing useful data for the planning of specific exercises within the in‐season training week.


Study design. (A) Participants wore the CGM sensor for a 2‐week period (10–14 days), while logging the timing of their main meals, and kept a training log. Within the 2‐week period, three separate days were planned. On day A, participants performed a standardized exercise session and kept a detailed food record. Day B was scheduled on a rest day, during which the participants took seven capillary blood glucose samples at home and kept a detailed food record. During day C, which was scheduled on a regular training day, participants followed their normal training schedule and kept a detailed food record. (B) The standardized training of day A, consisted of (hand)biking for 70 min, starting at 60% of the functional threshold power (FTP) for 30 min, followed by 10 min at 85% FTP, 20 min at 60% FTP, a maximal sprint of 3 minutes, and a cooldown of 10 min at 50% FTP. During the standardized training, eight capillary blood glucose samples were taken by the researchers at T = 0, 10, 20, 28, 40, 50, 58, and 70.
Percentage of time spent in hypoglycemia (<3.9 mmol/L) and severe hypoglycemia (<2.9 mmol/L) during 24 hrs, daytime, and nighttime, in participants with and without spinal cord injury as measured with continuous glucose monitoring. Data are presented as median ± IQR.
Accuracy of CGM during resting and exercise conditions. Blood glucose concentrations of corresponding CGM and capillary measurements assessed during resting conditions (A) and over the time during standardized exercise (B). (C) blood glucose concentrations during exercise are shown for hand bikers and cyclists separately. (D) and (E) represent the Bland–Altman plots of the blood glucose values measured with the CGM and finger prick method during rest (D) and during exercise (E). Data are presented as mean ± SD.
Continuous glucose monitoring in para cyclists: An observational study

November 2024

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113 Reads

Continuous glucose monitoring (CGM) is an emerging tool for dietary counseling in athletes. This study aimed to explore blood glucose profiles in Para cyclists and evaluate CGM accuracy at rest and during exercise. Thirteen Para cyclists, comprising eight hand bikers and five cyclists, wore a CGM sensor (Abbott) for 2 weeks. Participants recorded the timing of meals and regular training sessions and executed one standardized training session. Fifteen capillary blood glucose reference values (seven at rest and eight during the standardized training) were obtained by finger pricks. Mean glucose concentrations and time spent in hypoglycemia (<3.9 mmol/L), euglycemia (3.9–7.8 mmol/L), and hyperglycemia (>7.8 mmol/L) were calculated over 24 hrs and during daytime, nighttime, exercise, and 2 hrs postprandial periods. Mean absolute relative differences (MARD) were calculated between the CGM and capillary blood glucose. The mean glucose concentration over the 24 hr‐period was 5.7 (5.6–5.8) mmol/L. Athletes were in the euglycemia range 91% of the time. Hyperglycemia was almost exclusively observed postprandially and during exercise. Hypoglycemia was restricted to the night and was particularly observed in athletes with a spinal cord injury. CGM accuracy was acceptable at rest (MARD: 12%) but markedly lower during exercise (MARD: 34%; p = 0.01), especially for hand bikers (MARD: 41%) compared with cyclists (MARD: 24%; p = 0.01). Para cyclists generally do not display signs of disturbed glucose regulation. However, the increased risk for nocturnal hypoglycemia in athletes with a spinal cord injury warrants attention. Furthermore, CGM accuracy is compromised during exercise, especially if the sensor is in proximity to highly active muscles.


The experimental procedures for one repeated sprint training session and its follow‐up sessions. This design is repeated for each of the four repeated‐sprint training protocols, which are separated by 1 week. dRPE, differential ratings of perceived exertion; GPS, global positioning system; HR, heart rate; RST, repeated‐sprint training and VO2, oxygen consumption.
The acute demands of each RST protocol. Green = 5 × 20, orange = 10 × 20, blue = 5 × 40, yellow = 10 × 40 and × = mean. au, arbitrary units; HR, heart rate; RPE, rating of perceived exertion; Sdec, percentage sprint decrement; sRPE‐TL, session RPE‐training load; VO2, oxygen consumption and VO2max, maximal oxygen consumption.
Changes (mean ± 90% confidence limit) in the heart rate and oxygen consumption across the inter‐set recovery period between set one and set two for each repeated‐sprint training protocol. green = 5 × 20, orange = 10 × 20, blue = 5 × 40 and yellow = 10 × 40. The inter‐set recovery period is the time between the end of the last sprint repetition in set one (0 min) and the start of the first sprint repetition in set two (3 min).
The recovery time course of neuromuscular performance within each repeated sprint training protocol. Green = 5 × 20, orange = 10 × 20, blue = 5 × 40 and yellow = 10 × 40. Dark error bar represents the 90% confidence limit for the percent change in performance; shaded colour represents the 90% confidence limit for the standardised difference and grey shaded zone represents a trivial effect. CMJ, countermovement jump; EccDur, eccentric duration; FT:CT, flight‐time to contraction‐time ratio; PF90°, peak force at 90° of knee flexion and PF30°, peak force at 30° of knee flexion.
Repeated sprint training: The effects of session volume on acute physiological, neuromuscular, perceptual and performance outcomes in athletes

November 2024

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399 Reads

We examined the effects of repeated sprint training (RST) session volume on acute physiological, neuromuscular, perceptual and performance outcomes. In a randomised, counterbalanced, and crossover design, 14 healthy and trained male and female athletes (age: 23 ± 3 years) completed two sets of 10 × 40 m (10 × 40), 5 × 40 m (5 × 40), 10 × 20 m (10 × 20) and 5 × 20 m (5 × 20) sprints with 30 s rest between repetitions and 3 min rest between sets for all protocols. Average and peak heart rate, average oxygen consumption (VO2), time >90% of maximal oxygen consumption (VO2max), differential ratings of perceived exertion (RPE), session‐RPE training load (sRPE‐TL), percentage sprint decrement (Sdec), acceleration load and distance >90% of maximal sprint speed were recorded during each session. Neuromuscular performance (i.e. countermovement jump, lower‐limb stiffness and isometric hamstring strength) were measured post‐session, 24 h, and 48 h and compared to pre‐session. A univariate analysis of variance was used to compare within‐ and between‐protocol differences. To aid data interpretation, all effects were expressed as an effect size and accompanied by probability values (pMET). The 10 × 40 protocol induced the greatest training load compared to all other protocols (pMET < 0.05), including moderate to very large differences in breathlessness RPE, large differences in Sdec and time >90% VO2max and very large differences in sRPE‐TL. The 5 × 20 protocol induced the lowest training load compared to all other protocols (pMET < 0.05), including moderate to large differences in sRPE‐TL and leg muscle RPE. Heart rate, VO2, sRPE‐TL, leg muscle RPE and Sdec were similar between 5 × 40 and 10 × 20 (pMET < 0.05), but the acceleration load was greater for 10 × 20 when compared to 5 × 40 (pMET < 0.001), and this difference was large. Changes in neuromuscular performance across all timepoints and all protocols were unclear. Larger session volumes increase the demands of RST and by manipulating volume, sprint distance and the number of repetitions, practitioners can alter the internal and external training load.


Coach–athlete relationships, self‐confidence, and psychological wellbeing: The role of perceived and received coach support

November 2024

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63 Reads

Coaches are recognized as key support providers, although there is limited understanding of how coach support relates to athletes' self‐confidence and psychological wellbeing. This study examined relationships among perceived coach support, received coach support, coach–athlete relationship, self‐confidence, and psychological wellbeing. A further aim was to identify mechanisms through which coach–athlete relationship influences self‐confidence and psychological wellbeing. A total of 537 athletes (Mage = 21.83 and SD = 3.67) from a range of sports completed measures of perceived coach support, received coach support, coach–athlete relationship, self‐confidence, and psychological wellbeing. Mediation analysis revealed a significant direct effect of coach–athlete relationship on perceived coach support (b = 1.44 and p = 0.04) and received coach support on psychological wellbeing (b = 1.94 and p = <0.05). Coach–athlete relationship was associated with a significant indirect effect on psychological wellbeing via received coach support (ab = 0.82 and 95% CI [0.40 and 1.26*]) but not perceived coach support. In contrast, coach–athlete relationship was associated with a significant indirect effect on self‐confidence via perceived coach support (ab = 0.16 and 95% CI [0.10 and 0.22*]) but not received coach support. These findings demonstrate the significant role perceived coach support and received coach support plays in potentially explaining the relationship between the coach–athlete relationship with self‐confidence and psychological wellbeing. Additionally, the results highlight that different forms of social support uniquely mediate the relationship among the coach–athlete relationship, confidence, and wellbeing. These results have implications for coaching practices, as coaches can use their relationships with athletes to provide optimal support and thereby enhance the athletes' self‐confidence and wellbeing.


The reactive agility test without (A) and with ball dribbling (B) procedures. The graphic illustrations were prepared using Easy Sports‐Graphics software.
Comparison of reactive agility task performance between the strobe and non‐strobe glasses conditions during the tasks performed without and with the ball before and after executing the Illinois fatigue protocol. p values and effect size with 95% confidence intervals are depicted at the top of the figure. Dots highlight individual values.
Comparison of Illinois task performance performed without the ball (upper panel) and with the ball (lower panel) between the strobe and non‐strobe glasses conditions. p values and effect size with 95% confidence intervals are depicted.
Enhancing reactive agility in soccer: The impact of stroboscopic eyewear during warm‐up across fatigued and non‐fatigued conditions

November 2024

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79 Reads

Although prolonged training with stroboscopic eyewear has demonstrated potential for enhancing visuomotor skills, the acute effects of stroboscopic stimulation are not well understood. The aim of the study was to investigate the short‐term effects of stroboscopic exposure during the ball‐specific phase of soccer warm‐up on agility performance in preplanned and unpredictable (RA) tasks. Also, these effects were examined both in tasks involving ball dribbling and without the ball, as well as under fatigued and non‐fatigued conditions. Twenty‐two male soccer players participated in three sessions: a familiarization session and two experimental sessions, one with and one without stroboscopic exposure during the warm‐up. RA was assessed before and after each session using the 10‐repetition Illinois Agility Test, with and without ball control. Results showed that stroboscopic exposure significantly enhanced RA performance in tasks involving ball dribbling (p < 0.001, effect size (ES) = 0.57), and these effects were maintained under fatigued conditions (p = 0.007, ES = 0.39). However, there were no significant improvements in RA without the ball (p > 0.05). Exercise‐induced fatigue reduced RA performance in both conditions (F = 28.2; p < 0.001), regardless of warm‐up type (F = 0.5; p = 0.484). Additionally, stroboscopic exposure did not significantly affect the changes of direction speed performance in the Illinois Agility Test (F = 0.5; p = 0.479). These findings suggest that integrating stroboscopic eyewear into the ball‐specific phase of soccer warm‐ups effectively improves RA performance in tasks involving dribbling under both non‐fatigued and fatigued conditions. The effectiveness of acute stroboscopic stimulation is closely related to the specificity of the tasks in which it is applied. These insights could benefit training across various sports, encouraging coaches to adopt this approach to enhance player preparation before both training and competitions.


Women's rugby as a catalyst for advancing female‐specific science and safety in sport

November 2024

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27 Reads

Women's rugby is experiencing unprecedented growth and professionalisation, yet the research underpinning player welfare and performance remains significantly underdeveloped. This special issue of the European Journal of Sport Science addresses the critical need for evidence‐based practices tailored to female rugby players. Current literature is predominantly male‐focused, despite known sex differences impacting training, injury mechanisms and health outcomes. In particular, the underrepresentation of female‐specific studies presents risks to player safety and performance optimisation. This issue presents cutting‐edge research, from world‐leading interdisciplinary experts and applied practitioners, on three main themes: female‐specific injury and illness surveillance and education, tackle safety and performance, and intersectional research agendas. Contributions include insights into female‐specific health domains, such as breast and pelvic floor health, emphasising the need for tailored care pathways and interventions. Additionally, the importance of gender‐responsive coaching and tackle skill acquisition is highlighted, advocating for progressive, context‐specific training frameworks. Moreover, an intersectional approach to research is proposed, to address the broader social and material contexts affecting marginalised women and girls in rugby. These findings aim to drive interdisciplinary, inclusive research, ensuring that the professionalisation of women's rugby is matched by advancements in scientific understanding and applied practice. This special issue not only celebrates the progress made, but also calls for ongoing efforts to bridge the knowledge gap, ensuring holistic support for female rugby players from participation, through to retirement and beyond.


Experimental design of the study: randomized controlled crossover protocol with three sessions regarding the recovery condition: control without WBC (CONT); WBC after training at 7 p.m. (CRYO 7 p.m.); WBC before bedtime (CRYO 10 p.m.). The three experimental sessions were seven days apart.
(A) The body core temperature following bedtime for all experimental conditions. (*different from control and # different from CRYO 7 p.m. p < 0.05). The core body temperature expressed the following WBC exposure. (B) Temperature variations from WBC time of exposure. *Significant difference between CRYO 7 p.m. and CRYO 10 p.m. conditions and p < 0.05.
The effectiveness of cryostimulation exposure on sleep and recovery in male athletes: Timing considerations

November 2024

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104 Reads

The objectives of the study were (i) to evaluate the effects of whole‐body cryostimulation (WBC) after training as an effective tool to improve sleep and recovery and (ii) to determine which exposure schedule for WBC (immediately after training vs. 1h before bedtime) is the most appropriate to improve sleep and recovery. Twenty‐two well‐trained male athletes or triathletes (23.1 ± 3.5‐years) were recruited in this controlled crossover protocol. Each participant completed the three experimental sessions, each composed of a running training session and one night of sleep analysis. Depending on the experimental condition, subjects were exposed—or not (CONT)—to WBC immediately after training (CRYO 7 p.m.) or 1h before going to bed (CRYO 10 p.m.). All participants were randomly assigned to each condition, spaced seven days apart. Sleep was monitored via actimetry, cerebral activity recordings, heart rate variability, body core temperature, and perceptual measurements. WBC after training did not modify subjective or objective sleep parameters compared to the control condition. However, WBC significantly improved cardiac parasympathetic activity. More specifically, it was more activated during the night following the CRYO 10 p.m. condition than in the other experimental conditions. Core body temperature (CBT) 1h after bedtime was the lowest in the CRYO 10 p.m. condition. This study confirmed the effectiveness of WBC as a recovery technique after intense evening training. We suggest that WBC may exhibit the most significant benefit on recovery if the session is performed 1h before bedtime, acting on subsequent parasympathetic activation and CBT drop.


Preferred Reporting for Systematic Reviews and Meta‐Analysis flowchart.
Psychological and social factors within the DCDE associated with European DC athletes' mental health. Boxes in the inner circle represent the individual level (psychological factors). The outer circle represents the microlevel (social factors) surrounding the psychological factors. Beyond that is the macrolevel which was unaddressed in the current review. Dashed lines represent the transactional nature between the levels. + sign denotes a positive association, − sign denotes a negative association, and/sign denotes no significant association. If one factor had multiple potential outcomes, the positive one is shown here. DCDE, dual career development environment.
Psychological and social factors associated with mental health of European dual career athletes: A systematic review

November 2024

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126 Reads

Dual careers (DCs) are challenging trajectories followed by athletes willing to develop their academic/professional career with their athletic careers. These trajectories usually entail additional stressors, which can decrease athletes' mental health or even increase their risk of mental ill‐health. While existing research has recognized the importance of psychological and social factors in both of these areas separately, we lack systematic knowledge on which factors are associated with European DC athlete mental health outcomes, making evidence‐based practice more challenging. In this regard, to advance the European DC tradition and to provide a strong base for researchers and practitioners working within this field, this systematic review aims to appraise this evidence identifying and categorizing the psychological and social factors associated with the European DC athletes' mental health. We conducted this review according to Preferred Reporting for Systematic Reviews and Meta‐Analysis guidelines and performed the systematic search in six databases, finding 56 eligible articles. Our analysis identified 35 different psychological and social factors, most showing significant associations with athletes' mental health. Notably, affect, stress, motivational climate, mindfulness, resilience, perfectionism, goal orientation, motivation, and basic psychological need satisfaction showed the strongest evidence associated with mental health. Overall, this review provides a comprehensive synthesis of psychological and social factors, advancing the holistic ecological approach in dual careers and athlete mental health. Yet, our results highlight the need to strengthen the evidence regarding these factors and provide specific research avenues, such as focus on DC‐specific factors and consideration of DC athlete definition and career trajectories.


Performance and physiological characteristics throughout the hour record simulation. (A) Speed, (B) lap time, (C) power, (D) cadence, (E) heart rate and (F) estimated body temperature. Dotted vertical line denotes the point of task failure; * denotes a significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Aerodynamic characteristics throughout the hour record simulation. (A) CDA, (B) helmet angle, (C) helmet rotation, (D) helmet rock. Dotted vertical line denotes the point of task failure; * denotes significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Aerodynamic characteristics throughout the hour record simulation. (A) Foot segment range, (B) foot segment range during the first 90° ([Q1]) of the pedalling cycle, (C) thigh segment range, (D) leg smoothness. Dotted vertical line denotes the point of task failure; * denotes a significant difference between post‐task failure compared to pre‐task failure periods. All data are presented as mean ± SD.
Case study of a world hour record simulation in an elite cyclist: Insight into task failure

November 2024

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2,155 Reads

The ‘cycling hour‐record’ is one of the most prestigious events in cycling. However, little detailed analysis of such attempts is available. In preparation for a successful cycling hour‐record attempt, an elite cyclist performed a full‐hour simulation to provide insights into performance, physiological, aerodynamic and biomechanical limitations that could be identified in the preparation for a subsequent official attempt. Performance (speed, lap time, power and cadence), physiological (heart rate and estimated body temperature), aerodynamic (CDA, helmet angle, rotation and rock) and biomechanical (helmet, thigh and foot position changes) measurements were made throughout the attempt, in which an even‐pacing strategy was employed where the point of task failure was defined as the lap which the rider could no longer perform at the targeted lap split (16.6 s) or quicker. The cyclist did not achieve the target distance (54,000 m) during the simulation. The final distance achieved for the hour was 53,250 m. Task failure occurred at 38 min and 33 s (lap 139/34,750 m) into the simulation. Notably, there was a decrease in power output, accompanied with an increase in the estimated body temperature, changes in pedalling kinematics and an increase in aerodynamic drag. The reduction in performance (leading to task failure) during a cycling hour record simulation is underpinned by a decrease in power output as well as an increase in aerodynamic drag due to biomechanical changes in the cycling technique.


Changes in 1RM of the three lifting tasks and jump performances after the training in the PT and RT groups. In each subfigure, the raw data are plotted on the upper axes for PT (left) and RT (right); each paired set of observations at the pre and posttest is connected by a line. On the lower axes, each paired mean difference is plotted as a bootstrap sampling distribution. Mean differences are depicted as dots with horizontal dashed lines; 95% confidence intervals are indicated by the ends of the vertical error bars. Hedges' g represents the magnitude of the changes in the variables from pre to post. *Significant change from pre to post (p < 0.05). †Significant difference between groups (p < 0.05). 1RM one repetition maximum; PT, plyometric training; RT, resistance training.
Changes in oxygen cost of running (running economy) at 8, 10, 12 km/h, and 5‐km running time after the training in the PT and RT groups. In each subfigure, the raw data are plotted on the upper axes for PT (left) and RT (right); each paired set of observations at the pre and posttest is connected by a line. On the lower axes, each paired mean difference is plotted as a bootstrap sampling distribution. Mean differences are depicted as dots with horizontal dashed lines; 95% confidence intervals are indicated by the ends of the vertical error bars. Hedges' g represents the magnitude of the changes in the variables from pre to post. *Significant change from pre to post (p < 0.05). PT, plyometric training; RT, resistance training.
The effects of plyometric versus resistance training on running economy and 5‐km running time in middle‐aged recreational runners

November 2024

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102 Reads

The effects of plyometric training (PT) versus resistance training (RT) on running economy and performance are unclear, especially in middle‐aged recreational runners. We examined (1) the efficacy of PT versus RT on running economy and performance in middle‐aged recreational runners and (2) the relationships between the main training outcomes. Twenty middle‐aged recreational runners were randomly allocated to a PT or RT group (n = 10/group). Training was conducted twice/week for 10 weeks combined with daily running. PT included the countermovement jump (CMJ), rebound jump, hurdle hop, and drop jump. RT consisted of leg press, leg curl, and calf raise with 50%–90% of one‐repetition maximum (1RM). Before and after the intervention, 1RM of the three lifting tasks, CMJ and drop jump performances, oxygen cost at 8–12 km/h, and 5 km running time were assessed. PT enhanced 1RM of leg curl only (8.5% and p = 0.007), whereas RT increased 1RM of the three lifting tasks (19.0%–21.1% and p < 0.001). Both groups improved CMJ height (6.4%–8.3% and p = 0.016) and drop jump performance (height: 9.7%–19.4%, p = 0.005, height/contact time: 11.4%–26.3% and p = 0.009) and oxygen cost regardless of running velocity (2.0% and p = 0.001) without significant group differences. However, neither group changed the 5‐km running time (p ≥ 0.259). A significant correlation was found between the changes in calf raise 1RM and oxygen cost (r = −0.477 and p = 0.046) but not between the other measured variables. These results suggest that for middle‐aged recreational runners, PT and RT can similarly improve running economy albeit not necessarily the 5‐km running time, and enhancing plantarflexion strength may particularly contribute to improving running economy.


Effects of concentric and eccentric exercise regimens on bioenergetic efficiency of lymphocytes in sedentary males

November 2024

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26 Reads

Eccentric exercise training (EET) increases physical performance while having lower metabolic demand than concentric exercise training (CET). Whether EET influences bioenergetic efficiency in peripheral blood mononuclear cells (PBMCs) remains unclear. This study investigates the effects of EET and CET on PBMC phenotypes and mitochondrial functions in blood. Thirty three sedentary healthy males were randomly assigned to either EET (n = 11) or CET (n = 11) that performed at progressively increased from 60% to 80% of maximal absolute workload for 30 min/day, 5 days/week for 6 weeks, or a control group (n = 11) that did not receive any exercise intervention. A graded exercise stress test (GXT) was performed before and after the intervention. PBMC phenotypes and mitochondrial respiratory capacity were analyzed using flowcytometry and high‐resolution respirometry, respectively. In the same absolute workload, EET elicited lower heart rate and rating of perceived exertion than CET. However, EET as CET increased the VO2 level at the ventilatory threshold. Notably, both EET and CET increased central memory (CD45RO⁺/CD62⁺/CD3⁺) T cells and decreased effector memory T cells reexpressing CD45RA (CD45RA⁺/CD62‐/CD3⁺). Moreover, the two exercise regimens diminished the loss of mitochondrial membrane potential (ΔΨm) caused by GXT, increased maximal/reserve O2 consumption rates (OCR), and bioenergetic health index in intact PBMCs and enhanced complex I‐/II‐related OCR in PBMCs with a substrate‐rich environment. EET improves aerobic fitness with a lower cardiovascular response to exercise than CET. Moreover, EET as CET reduces senescent T‐cell distribution in blood and improves PBMC bioenergetic efficiency by stabilizing ΔΨm and increasing capacity of oxidative phosphorylation.


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