scholarly journals Lower-limb injury in elite Australian football: A narrative review of kinanthropometric and physical risk factors

Author(s):  
Callum J. McCaskie ◽  
Marc Sim ◽  
Robert U. Newton ◽  
Nicolas H. Hart
2013 ◽  
Vol 43 (8) ◽  
pp. 751-763 ◽  
Author(s):  
Nadine Andrew ◽  
Belinda J. Gabbe ◽  
Jill Cook ◽  
David G. Lloyd ◽  
Cyril J. Donnelly ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Khalid A. Alahmari ◽  
Kanagaraj Rengaramanujam ◽  
Ravi Shankar Reddy ◽  
Paul Silvian Samuel ◽  
Venkata Nagaraj Kakaraparthi ◽  
...  

Background. Assessment of cardiorespiratory fitness (CRF) is a standard procedure in routine clinical practices. Early identification of risk factors through screening is vital in the fight against chronic diseases. Evaluation of CRF can impose cost implications in the clinical setting; thus, a simple and easy-to-use test is to be advocated. The Ruffier test is a simple test that can assess CRF, and it is necessary to find whether the test reflects the effects of compounding factors in CRF. Objective. This study aims to determine the association between CRF (estimated VO2max) with cardiovascular, anthropometric, and physical risk factors using the Ruffier test. Methods. A cross-sectional study with a sample of 52 male participants was conducted. Before the Ruffier test, each participant’s body weight, height, waist circumference, skinfold thickness, thigh length, lower-limb length, thigh circumference, physical activity, blood pressure, smoking, diabetes, and pulmonary functions were recorded, and these factors correlated with CRF. Results. There was a significant inverse relationship found between the estimated VO2max and age, height, body weight, body mass index, waist circumference, a sum of skinfold, fat percentage, thigh length, lower-limb length, thigh circumference, smoking, blood pressure, heart rates, and diabetes p<0.05. A significant positive correlation was found between the estimated VO2max with physical activity and respiratory functions p<0.05. In the multivariable model, body weight and resting heart rate were significantly inversely associated with the estimated VO2maxp<0.05. Conclusion. Using the Ruffier test, various risk factors of CRF are correlated with the estimated VO2max. This test reflects the effects of different compounding factors on CRF; therefore, it can be used in routine clinical practices to identify the risk factors early.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Martin Hajek ◽  
Morgan D. Williams ◽  
Matthew N. Bourne ◽  
Llion A. Roberts ◽  
Norman R. Morris ◽  
...  

2021 ◽  
Vol 10 (14) ◽  
pp. 3171
Author(s):  
Yanfei Guan ◽  
Shannon S. D. Bredin ◽  
Jack Taunton ◽  
Qinxian Jiang ◽  
Nana Wu ◽  
...  

Background: Risk factors for non-contact lower-limb injury in pediatric-age athletes and the effects of lateral dominance in sport (laterally vs. non-laterally dominant sports) on injury have not been investigated. Purpose: To identify risk factors for non-contact lower-limb injury in pediatric-age athletes. Methods: Parents and/or legal guardians of 2269 athletes aged between 6–17 years were recruited. Each participant completed an online questionnaire that contained 10 questions about the athlete’s training and non-contact lower-limb injury in the preceding 12 months. Results: The multivariate logistic regression model determined that lateral dominance in sport (adjusted OR (laterally vs. non-laterally dominant sports), 1.38; 95% CI, 1.10–1.75; p = 0.006), leg preference (adjusted OR (right vs. left-leg preference), 0.71; 95% CI, 0.53–0.95; p = 0.023), increased age (adjusted OR, 1.21; 95% CI, 1.16–1.26; p = 0.000), training intensity (adjusted OR, 1.77; 95% CI, 1.43–2.19; p = 0.000), and training frequency (adjusted OR, 1.36; 95% CI, 1.25–1.48; p = 0.000) were significantly associated with non-contact lower-limb injury in pediatric-age athletes. Length of training (p = 0.396) and sex (p = 0.310) were not associated with a non-contact lower-limb injury. Conclusions: Specializing in laterally dominant sports, left-leg preference, increase in age, training intensity, and training frequency indicated an increased risk of non-contact lower-limb injury in pediatric-age athletes. Future research should take into account exposure time and previous injury.


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