Ross Armstrong

Dr. Ross Armstrong


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2018 in Physical Therapy in Sport
Verified
Journal Article
Open access
RARoss Armstrong
Ross Armstrong
MGMatt Greig
Matt Greig
Agility is a functional requirement of many sports, challenging stability, and commonly cited as a mechanism of injury. The Functional Movement Screen (FMS) and modified Star Excursion Balance Test (mSEBT) have equivocally been associated with agility performance. The aim of the current study was to establish a hierarchical ordering of FMS and mSEBT elements in predicting T-test agility performance. Cross-sectional study design. University. Thirty-two female rugby players, 31 male rugby players and 39 female netballers MAIN OUTCOME MEASURES: FMS, mSEBT, T-test performance. The predictive potential of composite FMS and mSEBT scores were weaker than when discrete elements were considered. FMS elements were better predictors of T-test performance in rugby players, whilst mSEBT elements better predicted performance in netballers. Hierarchical modelling highlighted the in-line lunge (ILL) as the primary FMS predictor, whereas mSEBT ordering was limb and sport dependent. The relationship between musculoskeletal screening tools and agility performance was sport-specific. Discrete element scores are advocated over composite scores, and hierarchical ordering of tests might highlight redundancy in screening. The prominence of the ILL in hierarchical modelling might reflect the functional demands of the T-test. Sport-specificity and limb dominance influence hierarchical ordering of musculoskeletal screens.

18 July 2018 in Sports Medicine - Open
Verified
Journal Article
Open access
PDF file
RARoss Armstrong
Ross Armstrong
NRNicola Relph
Nicola Relph
Dance involves movements of complexity and physical intensity which result in stress on the body. As a consequence, dancers are at risk of injury which can impact on their well-being. Screening tools are used for injury prevention to identify those dancers at risk of injury. The aim of this study was to investigate which screening tools can predict injury in dancers, encompassing all dance genres, levels and ages. An electronic search of seven databases from their inception to December 2017 was conducted. The databases were the Allied and Complementary Medicine Database (AMED), CINAHL, eBOOK Collection (EBSCOhost), MEDLINE, Cochrane Database of Systematic Reviews, SPORTDiscus and PEDro: the Physiotherapy Evidence Base. The following search terms were used: (i) Dance AND injury AND Screening, (ii) Screening AND dance and (iii) Musculoskeletal AND Screening AND Dance. Studies were assessed using a 20-point scoring tool, and eligible studies were included in a meta-analysis. The mean methodological quality score was 12.2 points. Injured dancers had a significantly higher compensated turnout range of motion than non-injured dancers: pooled mean difference of compensated turnout (23.29°; 95% CI 14.85–31.73; P < 0.00001; I2 = 0%). Injured dancers had significantly greater functional turnout range of motion when compared to non-injured dancers: pooled mean difference of functional turnout (14.08°; 95% CI 7.09–21.07; P < 0.0001; I2 = 0%). There also some evidence for use of hip range of motion as a predictor of dance injury. Some evidence exists for the potential use of dance-specific positions as a predictor of injury. A number of studies were limited by a lack of prospective injury design, injury definition and self-reporting of injury.

1 September 2018 in Journal of Dance Medicine & Science
Verified
Journal Article
Closed access
RARoss Armstrong
Ross Armstrong
CBChristopher Michael Brogden
Christopher Michael Brogden
DMDebbie Milner
Debbie Milner
DNDebbie Norris
Debbie Norris
MGMatt Greig
Matt Greig
Dance is associated with a high risk of injury and fatigue is often a contributing factor. The Star Excursion Balance Test (SEBT) has been used to identify alterations in normal movement that may contribute to injury risk; however, there has been limited investigation of the potential effects of fatigue. The aim of this study was to explore the influence of dance-specific fatigue on SEBT performance, with implications for injury and performance in dance. Thirty-five university dancers completed the modified SEBT in anterior, posterolateral, and posteromedial directions prior to and immediately following the Dance Aerobic Fitness Test (DAFT). The SEBT was completed for dominant and non-dominant legs. Heart rate and rate of perceived exertion were quantified as measures of fatigue. Post-DAFT, the mean SEBT percentage maximized reach distances for dominant and non-dominant legs were non-significant compared to pre-DAFT scores. Lack of a main effect for exercise was observed in each of the anterior dominant and non-dominant, posterolateral dominant and non-dominant, and posteromedial dominant and non-dominant scores. It is concluded that the limited changes in the ability of dancers to perform the SEBT suggest that they were able to maintain SEBT performance in both dominant and non-dominant legs following exercise. This resistance to fatigue may demonstrate a dance-specific performance adaptation so that potential alterations in movement performance that may increase injury risk were not observed.

1 July 2018 in Physical Therapy in Sport
Verified
Journal Article
Open access
RARoss Armstrong
Ross Armstrong
MGMatt Greig
Matt Greig
To determine the efficacy of using the Beighton joint hypermobility score as a predictor of Brighton criteria components, considering the influence of gender and sports participation. Cross sectional study design. A University. Sixty-five female rugby players, 38 male rugby players, 61 netball players, 42 female dancers, 40 male controls and 40 female controls. The Beighton score was assessed using the Beighton and Horan Joint Mobility Index. The Brighton criteria was used to assess joint hypermobility syndrome. A binary logistic regression was performed for a pooled sample (n = 286), and subsequently for gender and sport to assess the Beighton score as a predictor of Brighton criteria. Beighton scores were found to be a predictor of arthralgia (P = 0.002), dislocation and subluxation (P = 0.048) in the pooled analysis; a predictor of dislocation and subluxation (P = 0.047) in males and arthralgia (P = 0.001) in females. Beighton scores were a predictor of arthralgia in female rugby (P = 0.003) and in female controls (P = 0.012). The potential of the Beighton score to predict joint arthralgia and dislocation/subluxation may allow clinicians to implement effective injury prevention strategies.

11 October 2021 in Sports Medicine - Open
Verified
Journal Article
Open access
PDF file
RARoss Armstrong
Ross Armstrong
Nicola S RelphNicola S Relph
Nicola S Relph
Background: Gymnastics requires a high level of physical ability and technical skill which utilises short sets of athleticism and artistry to perform complex and intense movements which can overload musculoskeletal tissues and result in acute injuries which can develop into chronic injuries. The aim of this systematic literature review was to investigate which screening tools predict injury in gymnasts and encompasses all genres, levels and ages. Methods: An electronic search of seven databases from their inception until March 2021 was conducted. The databases were the Allied and Complementary Medicine Database, CINAHL, eBook Collection (EBSCOhost), MEDLINE, Cochrane Database of Systematic Reviews, SPORTDiscus and PEDro (the Physiotherapy Evidence Base). A combination of the following search terms was used: (1) Gymnastics AND injury AND Screening, (2) Screening AND Gymnastics and (3) Musculoskeletal AND Screening AND Gymnastics. These terms were searched in all text, abstract, title and subject terms. Studies were assessed using a 20-point scoring tool. Results: The mean methodological quality score was 13.1 points (range 10–17 points). Range of motion, anthropometric and postural measurements, hypermobility, clinical diagnostic tests, movement screening tools, muscle strength, power and endurance were reported in the included studies. Some evidence existed for screening measurement of height and mass as taller and heavier gymnasts might be more susceptible to injury; however, the different methodologies utilised and lack of acknowledgment of confounding variables limit the clinical relevance of these findings. Conclusions: Height and mass should be recorded during the screening process. A lack of heterogeneity in study methodology prevented a meta-analysis. Studies were limited by a lack of prospective injury design, poor injury definition, self-reporting of injury and only 2 studies reported reliability of screening tools. Further research is required to determine the role of injury screening in gymnastics. Registration: The review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) with the registration number CRD42020218339.

1 May 2020 in Journal of Sport Rehabilitation
Verified
Journal Article
Open access
SSSophie Speariett
Sophie Speariett
RARoss Armstrong
Ross Armstrong
Context: Golf requires effective movement patterns to produce an effective swing and performance. Objective: To determine the relationship between the Titleist Performance Institute golf-specific functional movement screening (GSFMS) composite and individual element scores and golf performance by assessing a player’s handicap, clubhead speed, side accuracy, ball speed, peak pelvis rotation speed, swing sequence, and common swing faults. Design: Cohort study, clinical measurement. Setting: English golf club. Participants: A total of 11 amateur golfers: 5 males (age: 37.2 [18.7] y, height: 184.4 [9.6] cm, body mass: 89.5 [13.4] kg, and handicap: 9 [6.6]) and 6 females (age: 53.7 [15.0] y, height: 166.8 [5.5] cm, body mass: 67.9 [16.6] kg, and handicap: 13 [6.1]). Main Outcome Measures: GSFMS composite and individual element scores and golf performance variables. Results: Significant relationships existed between GSFMS composite scores and handicap (r = −.779, P = .01); clubhead speed (r = .701, P = .02); ball speed (r = .674, P = .02); and peak pelvis rotation speed (r = .687, P = .02). Significant relationships existed between 90°/90° golf position and clubhead speed (r = .716, P = .01); ball speed (r = .777, P = .01); seated trunk rotation and peak pelvis rotation speed (r = .606, P = .048); single-leg balance and handicap (r = −.722, P = .01); torso rotation and handicap (r = −.637,P = .04); and torso rotation and peak pelvis rotation speed (r = .741, P = .01). Single-leg balance, overhead deep squat, and pelvic tilt were the GSFMS tests which participants had most difficulty in performing. The most common swing faults identified included loss of posture, slide, chicken winging, and early hip extension. Conclusions: The GSFMS may be used to identify movement limitations that relate to golfing performance. These findings may potentially allow intervention to correct movement patterns and potentially improve golf performance.