Skip to main navigation
Skip to search
Skip to main content
Edge Hill University Home
Help & FAQ
Link opens in a new tab
Search content at Edge Hill University
Home
Profiles
Research units
Research output
Projects
Student theses
Activities
Prizes
Impacts
Equipment
Datasets
Joint hypermobility as a predictor of mechanical loading in dancers
Ross Armstrong
, Christopher Brogden
,
Matt Greig
Sport & Physical Activity
Research output
:
Contribution to journal
›
Article (journal)
›
peer-review
104
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Joint hypermobility as a predictor of mechanical loading in dancers'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Dancers
100%
Mechanical Loading
100%
Hypermobile
100%
Joint Hypermobility
100%
PlayerLoad
66%
Beighton Score
44%
Fitness Testing
33%
Aerobic Fitness
33%
Fatigue Effect
33%
Dance Aerobics
33%
Lower Limb
22%
Heart Rate Response
22%
Anterior-posterior
22%
All Levels
11%
No Significant Difference
11%
Cervicothoracic Junction
11%
Accelerometer Data
11%
Triaxial Accelerometer
11%
Physiological Response
11%
Perceived Exertion
11%
Hypermobility
11%
Belly
11%
Weak Predictors
11%
Gastrocnemius
11%
Medial-lateral
11%
Lumbar Flexion
11%
Loading Response
11%
Multiple Linear Regression
11%
Global Positioning
11%
Clinical Measurement
11%
Positioning Device
11%
Accelerometer Placement
11%
Load Value
11%
Complex Motion
11%
Mechanical Fatigue
11%
Loading Direction
11%
Nursing and Health Professions
Accelerometer
100%
Joint Hypermobility
100%
Joint Laxity
100%
Injury
50%
Accelerometry
50%
Perceived Exertion
50%
Cohort Analysis
50%
Multiple Linear Regression Analysis
50%
Positioning Device
50%