Pub Date : 2025-10-01Epub Date: 2023-04-24DOI: 10.1080/14763141.2023.2201248
Elena Seminati, Dario Cazzola, Grant Trewartha, Ezio Preatoni
Tackling in Rugby Union is associated with most match injuries. New tackle regulations have been explored to reduce injuries, but limited quantitative evidence is available to inform any law changes. Using a novel tackle simulator, we investigated upper body loading under different tackling conditions: direction of approach (0° - frontal, 45° and 90° to the ball carrier direction) and side of body (dominant vs. non-dominant). Peak impact force between tackler and simulator , and head and upper trunk segment motions were measured from 10 male players. Impact load averages were 17% higher at (0°) compared with (90°), across the two different tackling sides (p = 0.093), with the highest impact force measured during dominant-side shoulder tackles at 0° (5.63 ± 1.14 kN). Trunk resultant accelerations were higher (+19%, p = 0.010) at 0° compared with 90°, with the highest resultant acceleration measured in frontal tackles with the dominant shoulder (17.52 ± 3.97 g). We observed higher head lateral bending around the impact when tackling with the non-dominant shoulder at 45° (p = 0.024) and 90° (p = 0.047). Tackling from an offset angle from frontal may be safer. Deficiencies in tackling techniques on the non-dominant side should be reduced.
{"title":"Tackle direction and preferred side affect upper body loads and movements in rugby union tackling.","authors":"Elena Seminati, Dario Cazzola, Grant Trewartha, Ezio Preatoni","doi":"10.1080/14763141.2023.2201248","DOIUrl":"10.1080/14763141.2023.2201248","url":null,"abstract":"<p><p>Tackling in Rugby Union is associated with most match injuries. New tackle regulations have been explored to reduce injuries, but limited quantitative evidence is available to inform any law changes. Using a novel tackle simulator, we investigated upper body loading under different tackling conditions: direction of approach (0° - frontal, 45° and 90° to the ball carrier direction) and side of body (dominant vs. non-dominant). Peak impact force between tackler and simulator , and head and upper trunk segment motions were measured from 10 male players. Impact load averages were 17% higher at (0°) compared with (90°), across the two different tackling sides (<i>p</i> = 0.093), with the highest impact force measured during dominant-side shoulder tackles at 0° (5.63 ± 1.14 kN). Trunk resultant accelerations were higher (+19%, <i>p</i> = 0.010) at 0° compared with 90°, with the highest resultant acceleration measured in frontal tackles with the dominant shoulder (17.52 ± 3.97 g). We observed higher head lateral bending around the impact when tackling with the non-dominant shoulder at 45° (<i>p</i> = 0.024) and 90° (<i>p</i> = 0.047). Tackling from an offset angle from frontal may be safer. Deficiencies in tackling techniques on the non-dominant side should be reduced.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"3031-3047"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9503979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01Epub Date: 2023-02-27DOI: 10.1080/14763141.2023.2182703
A Walsh, L Seifert, C Button, S Vial, J Croft
In rock climbing, climbers use their arms to regulate their posture on the wall, which can lead to localised muscle fatigue. Evidence shows fatigue is the primary cause of falls, but little is known about how fatigue specifically affects climbing rhythm and hand movements. The present study examined climbing fluidity and hand movements on an indoor climbing wall before and after a specific fatiguing protocol. Seventeen climbers completed three repetitions of a challenging climbing route (21 on Ewbank scale) with different levels of localised arm fatigue. Climbers' movements were tracked using 3D motion capture, and their hand actions assessed using notational analysis. Seventy markers were used to create 15 rigid body segments and the participants' centre of mass. The global entropy index was calculated on the path of the participants' centre of mass. Climbers fell more often when fatigued, but there were no significant differences in hip jerk or global entropy index when fatigued. No significant differences were found between the number of exploratory or performatory hand movements with different amounts of fatigue. The results suggest that localised arm fatigue affects a climber's ability to prevent themselves from falling, but it does not specifically affect their fluidity.
{"title":"The effect of fatigue on climbing fluidity and hand movements.","authors":"A Walsh, L Seifert, C Button, S Vial, J Croft","doi":"10.1080/14763141.2023.2182703","DOIUrl":"10.1080/14763141.2023.2182703","url":null,"abstract":"<p><p>In rock climbing, climbers use their arms to regulate their posture on the wall, which can lead to localised muscle fatigue. Evidence shows fatigue is the primary cause of falls, but little is known about how fatigue specifically affects climbing rhythm and hand movements. The present study examined climbing fluidity and hand movements on an indoor climbing wall before and after a specific fatiguing protocol. Seventeen climbers completed three repetitions of a challenging climbing route (21 on Ewbank scale) with different levels of localised arm fatigue. Climbers' movements were tracked using 3D motion capture, and their hand actions assessed using notational analysis. Seventy markers were used to create 15 rigid body segments and the participants' centre of mass. The global entropy index was calculated on the path of the participants' centre of mass. Climbers fell more often when fatigued, but there were no significant differences in hip jerk or global entropy index when fatigued. No significant differences were found between the number of exploratory or performatory hand movements with different amounts of fatigue. The results suggest that localised arm fatigue affects a climber's ability to prevent themselves from falling, but it does not specifically affect their fluidity.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2971-2983"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10779427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01Epub Date: 2022-07-27DOI: 10.1080/14763141.2022.2099966
Rony Ibrahim, Vosse de Boode, Idsart Kingma, Jaap H van Dieën
The goal of this study was to evaluate the technical and physical adaptations to a data-driven 12-weeks training programs that incorporated recent findings from biomechanical studies on the diving save. Three-dimensional kinematics and kinetics were collected and analysed from 11 goalkeepers diving to save high (190 cm) and low (30 cm) balls at three occasions: twice pre-training and once post-training. Intraclass correlation coefficients were found to be excellent (>.7) between the pre-training tests, and there were no learning effects between them. Three-way repeated measures ANOVAs were used to evaluate the effect of dive side, dive height and training programme (pre- vs post-training) on normalised dive time [s·m-1], average centre of mass (CoM) horizontal velocity [m·s-1] and total power [W] generated at contralateral and ipsilateral push-offs. Compared to pre-training, the post-training results revealed greater average CoM horizontal velocity (+.82 m·s-1, 95% CI = [.62, 1.02]) and power (+523 W, 95% CI = [313, 732]) at contralateral push-off. These adaptations caused a reduction in normalised dive time (- .008 s·m-1, 95% CI = [- .014, - .002]) at post-training compared to pre-training. This translates to 42 cm more goal area coverage in a penalty situation.
本研究的目的是评估以数据为导向的为期 12 周的训练计划在技术和身体方面的适应性,该训练计划纳入了有关跳水扑救的生物力学研究的最新发现。研究收集并分析了 11 名门将在三次情况下扑救高球(190 厘米)和低球(30 厘米)时的三维运动学和动力学数据:两次在训练前,一次在训练后。发现训练前测试之间的类内相关系数非常好(>.7),而且它们之间没有学习效应。采用三因子重复测量方差分析来评估下潜侧、下潜高度和训练计划(训练前与训练后)对对侧和同侧推举时的归一化下潜时间[s-m-1]、平均质心水平速度[m-s-1]和总功率[W]的影响。与训练前相比,训练后的结果显示,对侧俯冲时的平均质心水平速度(+.82 m-s-1,95% CI = [.62,1.02])和功率(+523 W,95% CI = [313,732])更大。与训练前相比,这些适应性使训练后的归一化下潜时间缩短(- .008 s-m-1,95% CI = [- .014, - .002])。这意味着在罚球情况下,球门区覆盖面积增加了 42 厘米。
{"title":"Data-driven strength and conditioning, and technical training programs for goalkeeper's diving save in football.","authors":"Rony Ibrahim, Vosse de Boode, Idsart Kingma, Jaap H van Dieën","doi":"10.1080/14763141.2022.2099966","DOIUrl":"10.1080/14763141.2022.2099966","url":null,"abstract":"<p><p>The goal of this study was to evaluate the technical and physical adaptations to a data-driven 12-weeks training programs that incorporated recent findings from biomechanical studies on the diving save. Three-dimensional kinematics and kinetics were collected and analysed from 11 goalkeepers diving to save high (190 cm) and low (30 cm) balls at three occasions: twice pre-training and once post-training. Intraclass correlation coefficients were found to be excellent (>.7) between the pre-training tests, and there were no learning effects between them. Three-way repeated measures ANOVAs were used to evaluate the effect of dive side, dive height and training programme (pre- vs post-training) on normalised dive time [s·m<sup>-1</sup>], average centre of mass (CoM) horizontal velocity [m·s<sup>-1</sup>] and total power [W] generated at contralateral and ipsilateral push-offs. Compared to pre-training, the post-training results revealed greater average CoM horizontal velocity (+.82 m·s<sup>-1</sup>, 95% CI = [.62, 1.02]) and power (+523 W, 95% CI = [313, 732]) at contralateral push-off. These adaptations caused a reduction in normalised dive time (- .008 s·m<sup>-1</sup>, 95% CI = [- .014, - .002]) at post-training compared to pre-training. This translates to 42 cm more goal area coverage in a penalty situation.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2871-2883"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9198646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01Epub Date: 2022-08-16DOI: 10.1080/14763141.2022.2108490
Jun Ming Liu, Christopher Knowlton, Matthew Gauthier, Zach Tropp, Nikhil Verma, Gregory Nicholson, Anthony Romeo, Antonia Zaferiou
This study examined the roles of each leg in generating linear and angular impulses during baseball pitching. Professional pitchers (n = 4) pitched from a force plate instrumented mound, and 6-11 successful fastball pitches were used for analyses. We compared linear and angular impulses across the back and front legs. Linear and angular impulses were calculated from ground reaction force (GRF) and moment about each global axis passing through the centre of mass (COM), respectively. Additionally, we analysed measures that control the moment: (1) GRF magnitude, (2) magnitude of the position vector from COM to the centre of pressure and (3) the angle between (1) and (2). We found that the back leg generated forward linear impulse and the front leg generated backward linear impulse for all pitchers. Surprisingly, we found that the back leg generated significantly greater positive angular impulse about a global leftward axis (from the mound towards first base) than did the front leg in all four pitchers. Furthermore, the back leg's moment about the leftward axis became positive after the magnitude of forward GRF decreased from its maximum, suggesting that the back leg's role transitioned from generating forward linear momentum to angular momentum.
{"title":"Roles of each leg in impulse generation in professional baseball pitchers: preliminary findings uncover the contribution of the back leg towards whole-body rotation.","authors":"Jun Ming Liu, Christopher Knowlton, Matthew Gauthier, Zach Tropp, Nikhil Verma, Gregory Nicholson, Anthony Romeo, Antonia Zaferiou","doi":"10.1080/14763141.2022.2108490","DOIUrl":"10.1080/14763141.2022.2108490","url":null,"abstract":"<p><p>This study examined the roles of each leg in generating linear and angular impulses during baseball pitching. Professional pitchers (n = 4) pitched from a force plate instrumented mound, and 6-11 successful fastball pitches were used for analyses. We compared linear and angular impulses across the back and front legs. Linear and angular impulses were calculated from ground reaction force (GRF) and moment about each global axis passing through the centre of mass (COM), respectively. Additionally, we analysed measures that control the moment: (1) GRF magnitude, (2) magnitude of the position vector from COM to the centre of pressure and (3) the angle between (1) and (2). We found that the back leg generated forward linear impulse and the front leg generated backward linear impulse for all pitchers. Surprisingly, we found that the back leg generated significantly greater positive angular impulse about a global leftward axis (from the mound towards first base) than did the front leg in all four pitchers. Furthermore, the back leg's moment about the leftward axis became positive after the magnitude of forward GRF decreased from its maximum, suggesting that the back leg's role transitioned from generating forward linear momentum to angular momentum.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2884-2899"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9122646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-01Epub Date: 2023-03-29DOI: 10.1080/14763141.2023.2195827
Ricardo Pimenta, Pedro Almeida, José P Correia, Paula M Bruno, João R Vaz
This study examined the effects of fatigue on hamstring muscles and gluteus maximus passive and active shear modulus in hip extension (HE) and knee flexion (KF) at 20% of maximal voluntary isometric contraction performed until task failure. Measurements were taken before and after the fatigue tasks and the delta (post-pre) was calculated. No differences in the fatigue effects on passive shear modulus were seen between muscles nor between tasks. For the active shear modulus: a task × muscle interaction was seen (p = 0.002; η2p = 0.401). The results for the tasks separately demonstrated only a significant effect for muscle in KF (p < 0.001; η2p = 0.598), with different individual contributions identified between BFlh-SM (p = 0.006; d = 1.10), BFlh-ST (p = 0.001; d = 1.35) and SM-ST (p = 0.020; d = 0.91). The comparisons between tasks for each muscle demonstrated significant differences for SM (p = 0.025; d = 0.60) and ST (p = 0.026; d = 0.60); however, no differences were seen for BFlh (p = 0.062; d = 0.46). Therefore, fatigue effects induce different patterns on the hamstring muscles in HE and KF tasks when performed at 20% MVIC.
本研究检测了疲劳对腘绳肌和臀大肌被动和主动剪切模量的影响,在最大自主等距收缩的20%时进行髋关节伸展(HE)和膝关节屈曲(KF),直到任务失败。在疲劳任务前后进行测量,并计算delta(前后)。疲劳对被动剪切模量的影响在肌肉之间和任务之间没有差异。对于主动剪切模量:任务与肌肉之间存在相互作用(p = 0.002; η2p = 0.401)。单独任务的结果表明,只有KF对肌肉有显著影响(p 2p = 0.598), BFlh-SM (p = 0.006; d = 1.10)、BFlh-ST (p = 0.001; d = 1.35)和SM-ST (p = 0.020; d = 0.91)之间的个体贡献不同。各肌肉任务之间的比较表明,SM (p = 0.025, d = 0.60)和ST (p = 0.026, d = 0.60)具有显著差异;然而,BFlh未见差异(p = 0.062; d = 0.46)。因此,当在20% MVIC时,疲劳效应在HE和KF任务中诱导腿筋肌肉的不同模式。
{"title":"Effects of fatigue on hamstrings and gluteus maximus shear modulus in hip extension and knee flexion submaximal contraction task.","authors":"Ricardo Pimenta, Pedro Almeida, José P Correia, Paula M Bruno, João R Vaz","doi":"10.1080/14763141.2023.2195827","DOIUrl":"10.1080/14763141.2023.2195827","url":null,"abstract":"<p><p>This study examined the effects of fatigue on hamstring muscles and gluteus maximus passive and active shear modulus in hip extension (HE) and knee flexion (KF) at 20% of maximal voluntary isometric contraction performed until task failure. Measurements were taken before and after the fatigue tasks and the delta (post-pre) was calculated. No differences in the fatigue effects on passive shear modulus were seen between muscles nor between tasks. For the active shear modulus: a task × muscle interaction was seen (<i>p</i> = 0.002; η<sup>2</sup><sub>p</sub> = 0.401). The results for the tasks separately demonstrated only a significant effect for muscle in KF (<i>p</i> < 0.001; η<sup>2</sup><sub>p</sub> = 0.598), with different individual contributions identified between BFlh-SM (<i>p</i> = 0.006; <i>d</i> = 1.10), BFlh-ST (<i>p</i> = 0.001; <i>d</i> = 1.35) and SM-ST (<i>p</i> = 0.020; <i>d</i> = 0.91). The comparisons between tasks for each muscle demonstrated significant differences for SM (<i>p</i> = 0.025; <i>d</i> = 0.60) and ST (<i>p</i> = 0.026; <i>d</i> = 0.60); however, no differences were seen for BFlh (<i>p</i> = 0.062; <i>d</i> = 0.46). Therefore, fatigue effects induce different patterns on the hamstring muscles in HE and KF tasks when performed at 20% MVIC.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2999-3012"},"PeriodicalIF":2.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9690878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-22DOI: 10.1080/14763141.2025.2549136
J Freeston, S G J Hardy, E Ho, P Sinclair, S Chalmers, M Hollings, J T Andersen
Currently, there are no validated field-based measures of bat speed in cricket. This study sought to validate a baseball bat-mounted sensor for use in cricketers. Nine professional female cricketers (19.9 ± 2.8 years, 166.6 ± 4.8 cm, 68.7 ± 8.6 kg) performed 40 swings across four shot types (Cut, Drive, Pull, Slog-Sweep). Bat speed from a bat-mounted sensor was compared to optical motion capture (MoCap). Bat speed differed between shot types and ranged from 52.8 to 87.9 km/h. Device accuracy was determined by Bland-Altman bias and precision. The Drive shot had the smallest bias (-1.0 km/h; 1.4%), followed by the Slog-Sweep (2.0 km/h; 2.7%), Pull (2.0 km/h; 2.8%) then Cut shot, (2.5 km/h; 3.9%). The Cut shot had the greatest precision (2.7 km/h; 4.1%), followed by Pull (3.4 km/h; 4.7%), Slog-Sweep (4.0 km/h; 5.3%) and Drive (4.4 km/h; 6.3%). Kendall's tau analysis showed that proportional errors increased with higher bat speeds for all shots except Pull, (p < 0.05). The evidence supports use of the sensor for bat speed among female cricket players for all shots between speeds of 52.8-87.9 km/h. Caution is warranted for additional shot types, and speeds outside the explored range.
{"title":"Accuracy of a bat-mounted sensor for the measurement of bat speed among elite female cricket players.","authors":"J Freeston, S G J Hardy, E Ho, P Sinclair, S Chalmers, M Hollings, J T Andersen","doi":"10.1080/14763141.2025.2549136","DOIUrl":"https://doi.org/10.1080/14763141.2025.2549136","url":null,"abstract":"<p><p>Currently, there are no validated field-based measures of bat speed in cricket. This study sought to validate a baseball bat-mounted sensor for use in cricketers. Nine professional female cricketers (19.9 ± 2.8 years, 166.6 ± 4.8 cm, 68.7 ± 8.6 kg) performed 40 swings across four shot types (Cut, Drive, Pull, Slog-Sweep). Bat speed from a bat-mounted sensor was compared to optical motion capture (MoCap). Bat speed differed between shot types and ranged from 52.8 to 87.9 km/h. Device accuracy was determined by Bland-Altman bias and precision. The Drive shot had the smallest bias (-1.0 km/h; 1.4%), followed by the Slog-Sweep (2.0 km/h; 2.7%), Pull (2.0 km/h; 2.8%) then Cut shot, (2.5 km/h; 3.9%). The Cut shot had the greatest precision (2.7 km/h; 4.1%), followed by Pull (3.4 km/h; 4.7%), Slog-Sweep (4.0 km/h; 5.3%) and Drive (4.4 km/h; 6.3%). Kendall's tau analysis showed that proportional errors increased with higher bat speeds for all shots except Pull, (<i>p</i> < 0.05). The evidence supports use of the sensor for bat speed among female cricket players for all shots between speeds of 52.8-87.9 km/h. Caution is warranted for additional shot types, and speeds outside the explored range.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-12"},"PeriodicalIF":2.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145114818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-09DOI: 10.1080/14763141.2025.2558200
Nina Sebastian, Micah C Garcia, Kevin R Ford, Grant E Norte, Amanda M Murray, David M Bazett-Jones
Running over 'softer' surfaces is thought to lower the magnitude of impact forces. Current research is limited and inconclusive regarding the influence that transitioning between surfaces has on impact forces. Adult runners (n = 18) ran outdoors over a 50 m pathway that was half concrete and half grass at a self-selected speed. We recorded tibial acceleration from inertial measurements units and calculated resultant tibial acceleration for each step. We performed a three-way repeated measures ANOVA with Cohen's d effect sizes to compare resultant tibial acceleration among surface type (concrete, grass), transition step (preparation, response), and period (transition, steady state). We observed no significant interactions among surface type, transition step, and period for resultant tibial acceleration. We observed no significant main effect for transition step but observed that resultant tibial acceleration was significantly greater on concrete than grass and when transitioning compared to steady state, with small effect sizes. The increase in tibial acceleration during the transition period likely occurs across multiple steps when preparing or responding to a new surface. Runners that are concerned about experiencing higher tibial accelerations may want to consider running on softer surfaces and limiting the number of surface transitions during a training session.
{"title":"The influence of transitioning between grass and concrete surfaces on resultant tibial accelerations while running.","authors":"Nina Sebastian, Micah C Garcia, Kevin R Ford, Grant E Norte, Amanda M Murray, David M Bazett-Jones","doi":"10.1080/14763141.2025.2558200","DOIUrl":"https://doi.org/10.1080/14763141.2025.2558200","url":null,"abstract":"<p><p>Running over 'softer' surfaces is thought to lower the magnitude of impact forces. Current research is limited and inconclusive regarding the influence that transitioning between surfaces has on impact forces. Adult runners (<i>n</i> = 18) ran outdoors over a 50 m pathway that was half concrete and half grass at a self-selected speed. We recorded tibial acceleration from inertial measurements units and calculated resultant tibial acceleration for each step. We performed a three-way repeated measures ANOVA with Cohen's <i>d</i> effect sizes to compare resultant tibial acceleration among surface type (concrete, grass), transition step (preparation, response), and period (transition, steady state). We observed no significant interactions among surface type, transition step, and period for resultant tibial acceleration. We observed no significant main effect for transition step but observed that resultant tibial acceleration was significantly greater on concrete than grass and when transitioning compared to steady state, with small effect sizes. The increase in tibial acceleration during the transition period likely occurs across multiple steps when preparing or responding to a new surface. Runners that are concerned about experiencing higher tibial accelerations may want to consider running on softer surfaces and limiting the number of surface transitions during a training session.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-10"},"PeriodicalIF":2.0,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145030704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-02DOI: 10.1080/14763141.2025.2549137
Sienna Gosney, Luke MacDonald, Joanna Parsonage, Matthew Worsey, Justin Keogh, Daniel Chalkley, Breanna Meier, April Denny, Hannah Webster, Clare Minahan
Spatiotemporal kinematics represent a novel domain within surfboard sprint-paddling. Investigating the interplay between stroke characteristics and sprint-paddling speed can inform the development of effective training strategies for both female and male surfers. 31 competitive Australian surfers (n = 15 females, n = 16 males) performed two maximal 15-m sprint-paddling trials in a swimming pool. Split times (5-, 10-, and 15-m), stroke count, stroke rate, stroke length, and stroke phase distances (glide, pull, push, recovery) during acceleration and speed maintenance periods over the 15-m were measured. Regression analyses determined multiple spatiotemporal variables that strongly contributed to faster split times at all distances, including a sex interaction effect (r2 = 0.749, 0.791, and 0.794 respectively). For all surfers, push distance during acceleration and pull distance during speed maintenance were indicative of faster split times. For male surfers, the pull distance during the full sprint-paddle effort was indicative of faster split times. No variables were indicative of faster times for female surfers. This indicated that the development of a technique which promotes longer propulsive distances (i.e. pull and push distance) and an additional investigation of the female surfer should be encouraged to further afford optimal sprint-paddling success in both sexes.
{"title":"Stroke characteristics are associated with sprint-paddling performance in female and male competitive surfers.","authors":"Sienna Gosney, Luke MacDonald, Joanna Parsonage, Matthew Worsey, Justin Keogh, Daniel Chalkley, Breanna Meier, April Denny, Hannah Webster, Clare Minahan","doi":"10.1080/14763141.2025.2549137","DOIUrl":"10.1080/14763141.2025.2549137","url":null,"abstract":"<p><p>Spatiotemporal kinematics represent a novel domain within surfboard sprint-paddling. Investigating the interplay between stroke characteristics and sprint-paddling speed can inform the development of effective training strategies for both female and male surfers. 31 competitive Australian surfers (<i>n</i> = 15 females, <i>n</i> = 16 males) performed two maximal 15-m sprint-paddling trials in a swimming pool. Split times (5-, 10-, and 15-m), stroke count, stroke rate, stroke length, and stroke phase distances (glide, pull, push, recovery) during acceleration and speed maintenance periods over the 15-m were measured. Regression analyses determined multiple spatiotemporal variables that strongly contributed to faster split times at all distances, including a sex interaction effect (r<sup>2</sup> = 0.749, 0.791, and 0.794 respectively). For all surfers, push distance during acceleration and pull distance during speed maintenance were indicative of faster split times. For male surfers, the pull distance during the full sprint-paddle effort was indicative of faster split times. No variables were indicative of faster times for female surfers. This indicated that the development of a technique which promotes longer propulsive distances (i.e. pull and push distance) and an additional investigation of the female surfer should be encouraged to further afford optimal sprint-paddling success in both sexes.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-17"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144976559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-03-03DOI: 10.1080/14763141.2025.2471805
Daniel Williams, Marcus Dunn, Paul Worsfold, Deborah Newton, Steve H Faulkner, Francesca d'Andrea, Jon Wheat
The purpose of this study was to determine the number of crank revolutions required to obtain stable mean values of sagittal plane biomechanics variables, and the between-session reliability of these variables, whilst cyclists used an aerodynamic position. Eighteen elite cyclists completed a 3-min maximal bout on a cycling ergometer. Lower-limb kinematic and kinetic data were captured using 2D motion capture and force pedals. Raw data were filtered using a 4th order Butterworth low-pass filter (6 hz) and interpolated to 100 points per revolution. The middle 60 revolutions of each trial were extracted and 37 discrete and 15 time-series variables were calculated. Mean stability was assessed in all participants, and between-session reliability was analysed in a subset of 11 participants. Sequential averaging indicated more revolutions to stability than iterative intra-class correlation coefficients. Crank kinetics were more stable than joint kinematics and kinetics. For stable discrete and time-series variables, 30 and 38 revolutions are recommended, respectively. Between-day reliability for all variables was moderate to excellent, and good to excellent for crank kinetics and joint kinematics variables. Hip flexion-extension and ankle dorsiflexion kinetics were least reliable. Researchers and applied practitioners should consider these findings when planning, and interpreting results from, cycling biomechanics interventions.
{"title":"Mean stability and between-session reliability of cycling biomechanics variables in elite pursuit cyclists.","authors":"Daniel Williams, Marcus Dunn, Paul Worsfold, Deborah Newton, Steve H Faulkner, Francesca d'Andrea, Jon Wheat","doi":"10.1080/14763141.2025.2471805","DOIUrl":"10.1080/14763141.2025.2471805","url":null,"abstract":"<p><p>The purpose of this study was to determine the number of crank revolutions required to obtain stable mean values of sagittal plane biomechanics variables, and the between-session reliability of these variables, whilst cyclists used an aerodynamic position. Eighteen elite cyclists completed a 3-min maximal bout on a cycling ergometer. Lower-limb kinematic and kinetic data were captured using 2D motion capture and force pedals. Raw data were filtered using a 4th order Butterworth low-pass filter (6 hz) and interpolated to 100 points per revolution. The middle 60 revolutions of each trial were extracted and 37 discrete and 15 time-series variables were calculated. Mean stability was assessed in all participants, and between-session reliability was analysed in a subset of 11 participants. Sequential averaging indicated more revolutions to stability than iterative intra-class correlation coefficients. Crank kinetics were more stable than joint kinematics and kinetics. For stable discrete and time-series variables, 30 and 38 revolutions are recommended, respectively. Between-day reliability for all variables was moderate to excellent, and good to excellent for crank kinetics and joint kinematics variables. Hip flexion-extension and ankle dorsiflexion kinetics were least reliable. Researchers and applied practitioners should consider these findings when planning, and interpreting results from, cycling biomechanics interventions.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2519-2539"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-03-26DOI: 10.1080/14763141.2025.2481154
N Stewart Pritchard, Kambrie M Brandt, Alexandra G Peluso, David W Kruse, Elspeth Hart, Heather P Carr, Garrett S Bullock, Christopher M Miles, Justin B Moore, Joel D Stitzel, Jillian E Urban
This study aimed to evaluate head kinematics experienced during skill progression pathways in Women's Artistic Gymnastics to inform post-concussion return to gymnastics protocols. A return to gymnastics framework, consisting of seven skill progression pathways, was developed. Twelve gymnasts were instrumented with mouthpiece sensors and performed two trials of each skill, if able. Sensors recorded data at 100 Hz and skill segments were extracted using time-synchronised video. Peak resultant linear (PLA) and rotational acceleration (PRA), rotational velocity change index (ΔRV) and peak resultant rotational velocity (PRV) of 1 Hz low pass filtered data were computed from skills. A mixed effects model evaluated differences in kinematic metrics across skills within pathways while adjusting for random effects of the participant. Stepwise increases in kinematic metrics occurred along backward and forward tumbling (floor) pathways but did not occur in other pathways. For instance, gymnasts experienced greater PLA and PRV during clear hip and back hip circle compared to giant. Moreover, skills performed early along respective pathways (e.g, Yurchenko timer (to back), Tsukahara timer (to back), handstand forward roll) were among the skills with the greatest PRA and ΔRV. Head kinematics associated with skill performance should be considered when developing return to gymnastics protocols.
{"title":"Evaluation of head kinematics experienced during common skill progression pathways in Women's Artistic Gymnastics.","authors":"N Stewart Pritchard, Kambrie M Brandt, Alexandra G Peluso, David W Kruse, Elspeth Hart, Heather P Carr, Garrett S Bullock, Christopher M Miles, Justin B Moore, Joel D Stitzel, Jillian E Urban","doi":"10.1080/14763141.2025.2481154","DOIUrl":"10.1080/14763141.2025.2481154","url":null,"abstract":"<p><p>This study aimed to evaluate head kinematics experienced during skill progression pathways in Women's Artistic Gymnastics to inform post-concussion return to gymnastics protocols. A return to gymnastics framework, consisting of seven skill progression pathways, was developed. Twelve gymnasts were instrumented with mouthpiece sensors and performed two trials of each skill, if able. Sensors recorded data at 100 Hz and skill segments were extracted using time-synchronised video. Peak resultant linear (PLA) and rotational acceleration (PRA), rotational velocity change index (ΔRV) and peak resultant rotational velocity (PRV) of 1 Hz low pass filtered data were computed from skills. A mixed effects model evaluated differences in kinematic metrics across skills within pathways while adjusting for random effects of the participant. Stepwise increases in kinematic metrics occurred along backward and forward tumbling (floor) pathways but did not occur in other pathways. For instance, gymnasts experienced greater PLA and PRV during clear hip and back hip circle compared to giant. Moreover, skills performed early along respective pathways (e.g, Yurchenko timer (to back), Tsukahara timer (to back), handstand forward roll) were among the skills with the greatest PRA and ΔRV. Head kinematics associated with skill performance should be considered when developing return to gymnastics protocols.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"2571-2591"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12353394/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}