1
|
Wolski L, Pappas E, Hiller C, Halaki M, Fong Yan A. Is there an association between high-speed running biomechanics and hamstring strain injury? A systematic review. Sports Biomech 2024; 23:1313-1339. [PMID: 34569907 DOI: 10.1080/14763141.2021.1960418] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
Despite increased awareness of the multifactorial nature of Hamstring Strain Injury (HSI), the role of running biomechanics remains unclear. The aim of this systematic review was to investigate whether an association exists between running biomechanics and HSI. Five databases were searched from inception to January 2021. Eligibility criteria included epidemiological studies that provide data on running biomechanics in athletes who have sustained a HSI (retrospectively or prospectively) and compared to control data. Searches yielded 4,798 articles. Twelve met the selection criteria. Biomechanical analysis differed considerably across studies, thus meta-analyses was not possible. Studies largely found either no differences or contradicting findings between running biomechanics of athletes who have sustained a HSI (retrospectively or prospectively) and controls, with the exception of lateral trunk kinematics and horizontal propulsive forces. It is important to note some concern regarding the quality of included studies, particularly sample size, increasing the risk of bias associated with results. Further research utilising validated methods of biomechanical analysis, is needed to determine if an association exists between running biomechanics and HSI. Until then, definitive conclusions cannot be drawn as to whether specific biomechanical interventions should be included in injury prevention and/or rehabilitation programmes.
Collapse
Affiliation(s)
- Lisa Wolski
- Discipline of Exercise and Sports Science
- Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Evangelos Pappas
- Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
- School of Medicine and Illawarra Health & Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Claire Hiller
- Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | | | | |
Collapse
|
2
|
Chanchi ML, DeJong Lempke AF, Kocher M, Shore B, Meehan W, Willwerth S, Dawkins C, Hunt D, d'Hemecourt P, Stracciolini A, Whitney K. Running Biomechanics and Clinical Features Among Adolescent Athletes With Lower Leg Chronic Exertional Compartment Syndrome. Clin J Sport Med 2024; 34:348-356. [PMID: 38626073 DOI: 10.1097/jsm.0000000000001221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 02/07/2024] [Indexed: 04/18/2024]
Abstract
OBJECTIVE To compare clinical measures between patients with chronic exertional compartment syndrome (CECS) and healthy controls and evaluate running biomechanics, physical measurements, and exertional intracompartmental (ICP) changes in adolescent athletes with lower leg CECS. DESIGN Cross-sectional case-control study. SETTING Large tertiary care hospital and affiliated injury prevention center. PARTICIPANTS Forty-nine adolescents with CECS (39 F, 10 M; age: 16.9 ± 0.8 years; body mass index (BMI): 23.1 ± 2.9 kg/m 2 ; symptom duration: 8 ± 12 months) were compared with 49 healthy controls (39 F, 10 M; age: 6.9 ± 0.8 years; BMI: 20.4 ± 3.7 kg/m 2 ). INTERVENTIONS All participants underwent gait analyses on a force plate treadmill and clinical lower extremity strength and range of motion testing. Patients with chronic exertional compartment syndrome underwent Stryker monitor ICP testing. MAIN OUTCOME MEASURES Symptoms, menstrual history, and ICP pressures of the patients with CECS using descriptive statistics. Mann-Whitney U and χ 2 analyses were used to compare CECS with healthy patients for demographics, clinical measures, and gait biomechanics continuous and categorical outcomes, respectively. For patients with CECS, multiple linear regressions analyses were used to assess associations between gait biomechanics, lower extremity strength and range of motion, and with ICP measures. RESULTS The CECS group demonstrated higher mass-normalized peak ground reaction force measures (xBW) compared with controls (0.21 ± 0.05 xBW ( P < 0.001) and were more likely to have impact peak at initial contact ( P = 0.04). Menstrual dysfunction was independently associated with higher postexertion ICP (ß = 14.6; P = 0.02). CONCLUSIONS The CECS group demonstrated increased total force magnitude and vertical impact transient peaks. In women with CECS, menstrual dysfunction was independently associated with increased postexertion ICP. These biomechanical and physiological attributes may play a role in the development of CECS.
Collapse
Affiliation(s)
- Mayela Leal Chanchi
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - Alexandra F DeJong Lempke
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- School of Kinesiology, University of Michigan, Ann Arbor, Michigan
| | - Mininder Kocher
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - Ben Shore
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - William Meehan
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - Sarah Willwerth
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
| | - Corey Dawkins
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
| | - Danielle Hunt
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
| | - Pierre d'Hemecourt
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - Andrea Stracciolini
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| | - Kristin Whitney
- Boston Children's Hospital Orthopedics and Sports Medicine, Boston, Massachusetts
- The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
- Harvard Medical School, Boston, Massachusetts; and
| |
Collapse
|
3
|
Hanley B, Thomas AL, Tucker CB. Kinematic and spatiotemporal differences between footstrike patterns in elite male and female 10,000 m runners in competition. Sports Biomech 2024:1-16. [PMID: 38193478 DOI: 10.1080/14763141.2024.2301995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 12/26/2023] [Indexed: 01/10/2024]
Abstract
The aim of this study was to examine spatiotemporal and joint kinematic differences between footstrike patterns in 10,000 m running. Seventy-two men's and 42 women's footstrike patterns were analysed during laps 5, 10, 15, 20 and 25 (of 25) using 2D video recordings. Approximately 47% of men were FFS throughout the race, 30% were MFS and 24% RFS; the respective frequencies in women were approximately 30%, 38% and 32%. Overall, 83% of men and 88% of women retained their footstrike pattern throughout the race. Amongst the 53 men and 33 women with symmetrical footstrike patterns, there were no differences in speed, step length or cadence between footstrike groups in either sex. Most lower limb joint angles did not change in these athletes during the event, with few differences between footstrike patterns apart from ankle and foot angles. A greater hip-ankle distance was found in RFS than in FFS (both sexes) and in RFS than in MFS (men only), although these differences were never more than 0.03 m. Coaches should note that habitual footstrike patterns were maintained during this long-distance track race despite changes in running speed and possible fatigue, and there were few performance differences between footstrike patterns.
Collapse
Affiliation(s)
| | - Aaron L Thomas
- Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | | |
Collapse
|
4
|
Zandbergen MA, Reenalda J, van Middelaar RP, Ferla RI, Buurke JH, Veltink PH. Drift-Free 3D Orientation and Displacement Estimation for Quasi-Cyclical Movements Using One Inertial Measurement Unit: Application to Running. SENSORS 2022; 22:s22030956. [PMID: 35161701 PMCID: PMC8838725 DOI: 10.3390/s22030956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/04/2022]
Abstract
A Drift-Free 3D Orientation and Displacement estimation method (DFOD) based on a single inertial measurement unit (IMU) is proposed and validated. Typically, body segment orientation and displacement methods rely on a constant- or zero-velocity point to correct for drift. Therefore, they are not easily applicable to more proximal segments than the foot. DFOD uses an alternative single sensor drift reduction strategy based on the quasi-cyclical nature of many human movements. DFOD assumes that the quasi-cyclical movement occurs in a quasi-2D plane and with an approximately constant cycle average velocity. DFOD is independent of a constant- or zero-velocity point, a biomechanical model, Kalman filtering or a magnetometer. DFOD reduces orientation drift by assuming a cyclical movement, and by defining a functional coordinate system with two functional axes. These axes are based on the mean acceleration and rotation axes over multiple complete gait cycles. Using this drift-free orientation estimate, the displacement of the sensor is computed by again assuming a cyclical movement. Drift in displacement is reduced by subtracting the mean value over five gait cycle from the free acceleration, velocity, and displacement. Estimated 3D sensor orientation and displacement for an IMU on the lower leg were validated with an optical motion capture system (OMCS) in four runners during constant velocity treadmill running. Root mean square errors for sensor orientation differences between DFOD and OMCS were 3.1 ± 0.4° (sagittal plane), 5.3 ± 1.1° (frontal plane), and 5.0 ± 2.1° (transversal plane). Sensor displacement differences had a root mean square error of 1.6 ± 0.2 cm (forward axis), 1.7 ± 0.6 cm (mediolateral axis), and 1.6 ± 0.2 cm (vertical axis). Hence, DFOD is a promising 3D drift-free orientation and displacement estimation method based on a single IMU in quasi-cyclical movements with many advantages over current methods.
Collapse
Affiliation(s)
- Marit A. Zandbergen
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
- Roessingh Research and Development, 7522 AH Enschede, The Netherlands
- Correspondence:
| | - Jasper Reenalda
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
- Roessingh Research and Development, 7522 AH Enschede, The Netherlands
| | - Robbert P. van Middelaar
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
| | - Romano I. Ferla
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
| | - Jaap H. Buurke
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
- Roessingh Research and Development, 7522 AH Enschede, The Netherlands
| | - Peter H. Veltink
- Department of Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, 7522 NB Enschede, The Netherlands; (J.R.); (R.P.v.M.); (R.I.F.); (J.H.B.); (P.H.V.)
| |
Collapse
|
5
|
Burke A, Dillon S, O'Connor S, Whyte EF, Gore S, Moran KA. Risk Factors for Injuries in Runners: A Systematic Review of Foot Strike Technique and Its Classification at Impact. Orthop J Sports Med 2021; 9:23259671211020283. [PMID: 34527750 PMCID: PMC8436320 DOI: 10.1177/23259671211020283] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 02/22/2021] [Indexed: 11/30/2022] Open
Abstract
Background: It has been suggested that foot strike technique (FST) at initial contact is related to running-related injuries (RRIs). Purpose: To explore the relationship between FST and RRIs. Study Design: Systematic review; Level of evidence, 3. Methods: A systematic electronic search was performed using MEDLINE, PubMed, SPORTDiscus, Scopus, and Web of Science databases. Included were studies published in the English language that explored the relationship between FST and RRIs between January 1960 and November 2020. Results were extracted and collated. The Grading of Recommendations, Assessment, Development and Evaluation approach was applied to synthesize the quality of evidence. Results: We reviewed 13 studies exploring the relationship between FST and RRIs. Of these, 6 studies reported FST categorically (foot strike pattern [FSP]), and 7 reported continuous measures (foot contact angle, ankle flexion angle, and strike index). Three of the 6 studies looking at categorical FSP found rearfoot strikers have a significantly greater retrospective injury rate than do non– rearfoot strikers, with 1 other study noting a greater risk associated with midfoot and forefoot strike. Regarding the continuous measures of FST, only 1 of the 7 studies reported a significant relationship with RRIs. Conclusion: There was low evidence to suggest a relationship between FST (or its subcategories of categorical FSP and continuous measures) and RRIs. While two-thirds of the categorical studies found a relationship between FSP and RRIs, these studies were very low quality, with limitations such as retrospective study design, low participant numbers, and poor FSP assessment methods. More large-scale prospective studies are required.
Collapse
Affiliation(s)
- Aoife Burke
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | - Sarah Dillon
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | - Siobhán O'Connor
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Centre for Injury Prevention and Performance, Athletic Therapy and Training, Dublin City University, Dublin, Ireland
| | - Enda F Whyte
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Centre for Injury Prevention and Performance, Athletic Therapy and Training, Dublin City University, Dublin, Ireland
| | - Shane Gore
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | - Kieran A Moran
- School of Health and Human Performance, Dublin City University, Dublin, Ireland.,Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.,Centre for Injury Prevention and Performance, Athletic Therapy and Training, Dublin City University, Dublin, Ireland
| |
Collapse
|