Sports BiomechanicsPub Date : 2026-07-01Epub Date: 2026-01-21DOI: 10.1080/14763141.2026.2618123
Jonathan Simoes, Mike Bottom, Joshua Haworth
{"title":"Palmar triaxial force magnitudes as predictors of sprint front crawl performance.","authors":"Jonathan Simoes, Mike Bottom, Joshua Haworth","doi":"10.1080/14763141.2026.2618123","DOIUrl":"10.1080/14763141.2026.2618123","url":null,"abstract":"<p><p>The development of wearable technology in swimming has enabled easier collection of greatly detailed stroke metrics across researchers and practitioners alike. In particular, the use of pressure sensors on swimmers' palms allows for a nuanced analysis of the stroke cycle previously only available via time-intensive video analysis. This study aimed to evaluate whether triaxial force magnitudes recorded via wearable sensors could predict sprint swimming performance. Twenty-five NCAA Division I swimmers (13 female, 12 male; age 20.5 ± 1.6 years) participated in three maximal-effort 50-metre front crawl swims. Force data were summarised into three directional magnitudes-propulsive, vertical, and lateral. Multiple regression analysis indicated that greater propulsive (<i>p</i> = 0.03) and downward (<i>p</i> = 0.01) force on the left hand were significantly associated with faster swim times (<i>R</i><sup><i>2</i></sup> = 0.38, <i>p</i> < 0.01), whereas right-hand forces were not significant predictors of performance (<i>p</i> = 0.05). These findings suggest that swimmers and coaches may benefit from emphasising propulsive and downward force production during sprint front crawl. Further research is needed to understand how the asymmetries between hands, particularly relating to hand dominance and breathing preference, affect propulsion.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1106-1118"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020494","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}
Sports BiomechanicsPub Date : 2026-07-01Epub Date: 2025-12-29DOI: 10.1080/14763141.2025.2607738
Guillaume Abran, Kevin Gramage, François Delvaux, Jean-Louis Croisier, Cédric Schwartz
{"title":"Acute effect of running retraining interventions on low & high-frequency components of the impact signals.","authors":"Guillaume Abran, Kevin Gramage, François Delvaux, Jean-Louis Croisier, Cédric Schwartz","doi":"10.1080/14763141.2025.2607738","DOIUrl":"10.1080/14763141.2025.2607738","url":null,"abstract":"<p><p>Running-related injuries (RRIs) have been linked to high-frequency components of impact-related variables. The influence of running retraining interventions on low- (LoF) and high-frequency (HiF) components of impact-related variables remains unexplored. This study investigated the effects of different retraining strategies on LoF and HiF components of impact-related variables. Twenty-six habitual rearfoot runners completed four overground running conditions: no instructions (CON), forefoot strike (FOR), increased cadence by 10% (CAD), and a combination of both (CADFOR). Three-dimensional kinematics were recorded, while ground reaction forces were processed to separate LoF and HiF signals (10 Hz as cut-off value). Compared to CON, HiF impact peak was reduced in FOR (<i>p</i> <0.001, <i>d</i> = 2.0), CAD (<i>p</i> = 0.006, <i>d</i> = 0.6), and CADFOR (<i>p</i> <0.001, <i>d</i> = 2.3). HiF instantaneous vertical loading rate was significantly reduced only in FOR (<i>p</i> <0.001; <i>d</i> = 0.6) and CADFOR (<i>p</i> <0.001; <i>d</i> = 0.7). Notably, adopting a forefoot strike pattern reduced HiF components of impact-related variables nearly three times more than cadence increase alone. The combination of forefoot strike and increased cadence produced the largest reduction in HiF impact components, suggesting it may be the most effective retraining strategy for potentially lowering RRI risk.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1052-1064"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145851302","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}
{"title":"Heel elevation increases ankle and knee range of motion during squatting in healthy adults: a systematic review with meta-analysis.","authors":"Mohammadhossein Ghasemi, Maryam Emami, Usef Mohammadi Yaghoubi","doi":"10.1080/14763141.2026.2619893","DOIUrl":"10.1080/14763141.2026.2619893","url":null,"abstract":"<p><p>Alterations in foot position, such as heel elevation, can alter squat multi-joint kinematics, though a definitive dose-response meta-analysis is unavailable. This systematic review and meta-analysis investigated the effect of heel elevation magnitude on sagittal-plane range of motion (ROM) during squatting. Databases were searched until September 2025. Fourteen studies (<i>n</i> = 177 participants) were included. Random-effects meta-analysis revealed that heel elevation significantly increased ankle (Hedges' g = 0.370, <i>p</i> = 0.020, mean difference (MD) = 4.33°) and knee ROM (Hedges' g = 0.288, <i>p</i> < 0.001, MD = 4.94°), but not hip or trunk ROM. Subgroup analysis revealed a dose-response effect at the ankle, with significant increases only at high heel elevations (>2.5 cm or >5°; MD = 5.09°). Knee ROM increased with both low and high elevations (MD = 3.39° and 6.65°, respectively). Meta-regression suggested greater heel height was associated with reduced hip (β = -0.028, <i>p</i> = 0.030) and trunk ROM (β = -0.067, <i>p</i> = 0.018). The findings elucidate kinematic adaptations to heel elevation, highlighting a proximal-to-distal gradient in joint responsiveness. This evidence can inform the prescription of heel elevations in biomechanical applications to modify loading patterns during rehabilitation and training.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1022-1038"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087961","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}
Sports BiomechanicsPub Date : 2026-07-01Epub Date: 2026-01-21DOI: 10.1080/14763141.2025.2603400
Tsuyoshi Nagatani, Shayne Vial, Kristina L Kendall, Paul Comfort, G Gregory Haff
{"title":"Functional data analysis of joint coordination during the pull of the power clean.","authors":"Tsuyoshi Nagatani, Shayne Vial, Kristina L Kendall, Paul Comfort, G Gregory Haff","doi":"10.1080/14763141.2025.2603400","DOIUrl":"10.1080/14763141.2025.2603400","url":null,"abstract":"<p><p>The purpose of this study was to use a bivariate functional principal component analysis (bfPCA) to quantify hip-knee joint movement patterns and assess their relationship with power clean performance. Thirty strength-power athletes completed a one repetition maximum (1RM) power clean test where hip and knee joint angle data from the heaviest successful lift were recorded and analysed using bfPCA. Three principal components were extracted, primarily reflecting variability in hip joint angle throughout the pull (pattern 1), knee joint angle at the starting position (pattern 2), hip-knee joint motion from the middle of the first pull through to the end of the second pull (pattern 3). Correlation analyses revealed no significant or meaningful correlations between power clean performance and patterns 1 or 2 (<i>r</i> = -0.10 and 0.04, <i>p</i> = 0.60 and 0.85, respectively), suggesting that inter-individual differences in starting position may not negatively impact power clean performance. However, pattern 3 was weakly but significantly correlated with power clean performance (<i>r</i> = 0.39, <i>p</i> = 0.03), with higher-performing lifters displaying movement patterns characterised by a more upright torso at the power position and a more controlled, prolonged first pull. These findings suggest that coaches focus on these aspects of the movement to potentially maximise power clean performance.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1039-1051"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146012914","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}
Sports BiomechanicsPub Date : 2026-07-01Epub Date: 2026-02-10DOI: 10.1080/14763141.2026.2625797
Brittany Dowling, Jonathan S Slowik, Glenn S Fleisig
{"title":"The influence of sample and filter frequencies on baseball pitching data.","authors":"Brittany Dowling, Jonathan S Slowik, Glenn S Fleisig","doi":"10.1080/14763141.2026.2625797","DOIUrl":"10.1080/14763141.2026.2625797","url":null,"abstract":"<p><p>The throwing motion in baseball pitching is the fastest recorded human motion, demanding higher sample frequencies than most human movements. Previous studies have used sample frequencies from 240 to 500 Hz and a wide range of low-pass filter frequencies, although 13.4 and 18.0 Hz are the most common. This study examined the effects of two common sample frequencies (240 and 480 Hz) and three filter frequencies (13.4, 18.0, 27.2 Hz) on pitching data. Fastballs from 28 professional baseball pitchers were collected at 480 Hz with marker motion capture, then down-sampled to 240 Hz; each data set was filtered at the three filter frequencies. Twenty-six common kinematic, temporal and kinetic variables were computed for each pitcher across all sample-filter frequency combinations and compared using two-way repeated measures ANOVA. Differences were interpreted relative to minimal clinically important differences (MCID). Pitching data were more sensitive to filter frequency (significant differences above MCID in 13 of 26 variables) than to sample frequency (4 of 26 variables). Variables involving differentiation (e.g. velocities and torques) were most impacted. Based on these findings and time-series inspection, we recommend a minimum sample frequency of 240 Hz and a Butterworth low-pass filter of 18.0 Hz for marker-based motion capture pitching mechanics.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"971-992"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146151186","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}
{"title":"An examination of the correlation between antagonist coactivation of the abdomen and rotational kinematics in skilled golfers.","authors":"Shuyuan Wu, Huaxing Zhang, Zhe Ren, Teng Luo, Xiangyu Wang, Guojie Zhang, Genghao Zhan, Hao Wu","doi":"10.1080/14763141.2025.2611893","DOIUrl":"10.1080/14763141.2025.2611893","url":null,"abstract":"<p><p>The objective was to examine how phase-specific abdominal antagonist co-activation (CoA) influences trunk rotational kinematics in skilled golfers. Thirty male amateurs (19.7 ± 0.7 years; handicap 9.6 ± 2.4) performed 6 iron swings with synchronised motion capture and surface electromyography of the external obliques (EO). Pearson correlations and linear regression were applied. CoA showed distinct phase-dependent effects. During take-away, higher CoA correlated with greater peak pelvic velocity (<i>r</i> = 0.460; <i>r<sup>2</sup></i> = 0.21), indicating stabilising function. Early downswing CoA was negatively associated with X-factor at impact (<i>r</i> = -0.516; <i>r<sup>2</sup></i> = 0.26) and peak pelvic velocity (<i>r</i> = -0.540; <i>r<sup>2</sup></i> = 0.29), suggesting that reduced CoA facilitates proximal acceleration and elastic energy transfer. During downswing acceleration, CoA positively predicted peak thoracic velocity (<i>r</i> = 0.397; <i>r<sup>2</sup></i> = 0.15) and thoracic deceleration (<i>r</i> = 0.450; <i>r<sup>2</sup></i> = 0.20), reflecting a dual role in energy transfer and active braking. Early follow-through CoA was positively associated with thoracic deceleration (<i>r</i> = 0.440; <i>r<sup>2</sup></i> = 0.19), supporting post-impact trunk control. These findings suggest that skilled golfers modulate EO CoA across swing phases to balance stability, energy transfer and controlled segmental deceleration, highlighting the functional significance of abdominal CoA for swing performance and injury prevention.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1078-1092"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145999478","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}
Jasper Wong, Hannah E Wyatt, Chris Whatman, Matt R Cross, Kelly Sheerin
{"title":"The association between running velocity, cadence, and tibial acceleration in recreational runners in an outdoor environment.","authors":"Jasper Wong, Hannah E Wyatt, Chris Whatman, Matt R Cross, Kelly Sheerin","doi":"10.1080/14763141.2026.2693712","DOIUrl":"https://doi.org/10.1080/14763141.2026.2693712","url":null,"abstract":"<p><p>Advances in wearable technology have improved the ability to measure spatiotemporal gait parameters and training metrics in real-world environments, providing greater insight into how runners accumulate mechanical load. While spatiotemporal parameters such as velocity and cadence are associated with tibial acceleration (TA), these relationships have typically been examined at fixed velocities under controlled conditions, and do not consider their potential interaction or reflect real-world running conditions. The purpose of this study was to investigate the association between running velocity, cadence and TA in an outdoor environment. One hundred recreational runners ran on an athletics track at five velocities, ranging from very slow to very fast, based on their self-selected training pace. The results showed a significant interaction effect between cadence and velocity for both axial (p=0.002) and resultant TA (p<0.001). The estimated increase in axial TA for every 1-step increase in cadence ranged from 0.017 g to 0.042 g across the five velocity bands. For resultant TA, the estimated increase ranged from 0.006 g to 0.082 g. These findings suggest that cadence had a larger effect on TA at faster velocities, highlighting the importance of monitoring cadence in conjunction with velocity to inform TA.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-12"},"PeriodicalIF":2.0,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148354544","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}
Marijn Binnekamp, Bouke L Scheltinga, Frank J Wouda, Jasper Reenalda
{"title":"No extra sensors needed: estimating vertical ground reaction force using IMUs at the smartwatch and heartrate strap location.","authors":"Marijn Binnekamp, Bouke L Scheltinga, Frank J Wouda, Jasper Reenalda","doi":"10.1080/14763141.2026.2657897","DOIUrl":"10.1080/14763141.2026.2657897","url":null,"abstract":"<p><p>Understanding the factors contributing to running-related injuries is important, since such injuries are common among runners. Vertical ground reaction forces (vGRFs) can help quantify biomechanical load during running, but are typically measured using force plates in laboratory settings. To allow continuous monitoring outdoors, wearable sensors such as inertial measurement units (IMUs) may offer a practical alternative. These sensors are often also embedded in smartwatches and heart rate monitor belts. This study aimed to predict vGRF using IMUs placed on the wrist and sternum-mimicking smartwatch and heart rate strap positions-combined with smartwatch-derived variables. Eleven rearfoot strike runners completed twelve 90-s treadmill trials at four speeds (8, 10, 12, 14 km/h) and three cadences (preferred ±10%). IMUs captured 3D acceleration and angular velocity; pressure insoles provided vGRF estimates used for outdoor validation. Subsequently, participants ran outdoors on an athletics track at the same four speeds. A long short-term memory (LSTM) neural network was trained to predict vGRF from IMU data. Feature importance analysis showed the sternum IMU contributed most to prediction accuracy. Leave-one-subject-out cross-validation, using all features, yielded an RMSE of 0.10 ± 0.024 body weight compared to indoor force plate measurements. Outdoor validation showed no significant performance drop. These results suggest that wearable devices enable meaningful vGRF monitoring during outdoor running.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-17"},"PeriodicalIF":2.0,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297092","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}
{"title":"Validity of using a smartphone-based markerless motion capture system for quantitative analysis of human dynamic movements.","authors":"Huaqing Liang, Curtis Justin Grant, Yekaterina Bolgarskaya","doi":"10.1080/14763141.2026.2689518","DOIUrl":"https://doi.org/10.1080/14763141.2026.2689518","url":null,"abstract":"<p><p>Quantitative motion analysis is often restricted in clinical and sports settings due to high cost and technical requirements of 3D optical systems (MoCap). This study assessed the validity of a smartphone-based markerless system (OpenCap) against MoCap across eight dynamic tasks. Participants (<i>N</i> = 41) performed movements including walking, running, jumping, and cutting, with simultaneous dual-system capture. Lower-extremity joint kinematic agreement was evaluated using discrete metrics (Root-Mean-Square-Error [RMSE], normalised RMSE [NRMSE], Pearson's <i>r</i>, and Bland-Altman analyses) and continuous Statistical Parametric Mapping (SPM). OpenCap demonstrated strong sagittal-plane agreement (RMSE = 7.0°-13.4°, NRMSE = 7.4%-24.5%, <i>r</i> = 0.70-0.99) and similar SPM waveforms, despite systematically overestimating flexion/dorsiflexion by 5°-15°. Conversely, out-of-plane kinematics exhibited high normalised errors (RMSE = 3.5°-16.6°, NRMSE = 29.0%-136.3%), highly variable correlations (<i>r</i> = -0.09-0.80), and divergent SPM waveforms. Additionally, OpenCap performed generally better during spatially constrained jumping movements than expansive translating tasks. This highlights algorithmic challenges regarding temporal synchronisation and distal tracking when individuals translate rapidly across the cameras' depth of field. While OpenCap currently lacks the multi-planar precision necessary for absolute out-of-plane evaluation, it successfully captures overarching sagittal trajectories. Ultimately, users must carefully weigh the system's accessibility advantages against its kinematic limitations before implementation in field or clinical environments.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-23"},"PeriodicalIF":2.0,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148279565","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}
Henry C A Edgington, Bernard X W Liew, Behnam Gholami, Matthew Barrett, William S D Edgington, Jason Moran
{"title":"Rugby tackle kinematics in adolescent players: effects of tackle height and shoulder side.","authors":"Henry C A Edgington, Bernard X W Liew, Behnam Gholami, Matthew Barrett, William S D Edgington, Jason Moran","doi":"10.1080/14763141.2026.2689501","DOIUrl":"https://doi.org/10.1080/14763141.2026.2689501","url":null,"abstract":"<p><p>Tackling is a major injury event in rugby, yet little is known about how adolescents adjust their body position when tackle height and shoulder side are manipulated. This cross-sectional study determined how tackle height and shoulder side influenced neck, trunk, hip, knee, and ankle positions, and centre-of-mass velocity in adolescent rugby players. Fifteen male amateur players (14.86 ± 0.77 years) completed tackles against a tackle bag under four conditions: regular-height dominant shoulder, low-height dominant shoulder, regular-height non-dominant shoulder, and low-height non-dominant shoulder. Two trials per condition were analysed using eight cameras and the Theia3D motion capture system. Linear mixed-effects models were used to test differences in joint angles and centre-of-mass velocity, with effect sizes reported. Tackle height and shoulder side altered joint positions. Low tackles increased trunk flexion by 16.4° and neck flexion by 7.1°, with the largest deviations when a low target was combined with the non-dominant shoulder, increasing trunk flexion by 29.1° and neck flexion by 10.2° versus regular-height dominant tackles. Hip flexion increased by about 20°, knee flexion changed less, and approach speed was similar between conditions. Coaches should emphasise lowering through the hips and knees, trunk control, head-up positioning, and regular tackle practice on both shoulders.</p>","PeriodicalId":49482,"journal":{"name":"Sports Biomechanics","volume":" ","pages":"1-14"},"PeriodicalIF":2.0,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148279617","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}