Primary findings indicate that there is ( a ) strong evidence that poor performance on a set distance run for time is a predictor for MSK-I risk in both genders ; ( b ) strong evidence that poor performance on timed shuttle runs is a predictor for MSK-I risk in males ; ( c ) moderate evidence in males and limited evidence in females that poor performance on a timed step test is a predictor of MSK-I risk ; and ( d ) limited or insufficient evidence that poor performance on the Cooper run test , maximal and submaximal aerobic grade d exercise tests , and the Conconi test are predictors of MSK-I risk in males or females or both .
Several measures of CRE are risk factors for training-related MSK-I in military and civilian athletic population s , indicating that CRE may be an important measure for MSK-I risk stratification
A systematic review of the association between physical fitness and musculoskeletal injury risk : part 1—cardiorespiratory endurance .
J Strength Cond Res 31(6 ) : 1744–1757 , 2017—Musculoskeletal injuries ( MSK-Is ) are a significant health problem for both military and athletic population s. Research indicates that MSK-I is associated with physical fitness ; however , the association between specific components of physical fitness and MSK-I in military and athletic population s has not been systematic ally examined .
Risk Factors for Injuries in Football
Background The injury risk in football is high , but little is known about causes of injury . Purpose To identify risk factors for football injuries using a multivariate model . Study Design Prospect i ve cohort study . Methods Participants were 306 male football players from the two highest divisions in Icel and . Before the 1999 football season started , the following factors were examined : height , weight , body composition , flexibility , leg extension power , jump height , peak O2 uptake , joint stability , and history of previous injury . Injuries and player exposure were recorded throughout the competitive season . Results Older players were at higher risk of injury in general ( odds ratio [ OR ] = 1.1 per year , P = 0.05 ) . For hamstring strains , the significant risk factors were age ( OR = 1.4 [ 1 year ] , P < 0.001 ) and previous hamstring strains ( OR = 11.6 , P < 0.001 ) . For groin strains , the predictor risk factors were previous groin strains ( OR = 7.3 , P = 0.001 ) and decreased range of motion in hip abduction ( OR = 0.9 [ 1 ° ] , P = 0.05 ) . Previous injury was also identified as a risk factor for knee ( OR = 4.6 ) and ankle sprains ( OR = 5.3 ) . Conclusions Age and previous injury were identified as the main risk factors for injury among elite football players from Icel and
Primary findings indicate that there is ( a ) strong evidence that poor performance on a set distance run for time is a predictor for MSK-I risk in both genders ; ( b ) strong evidence that poor performance on timed shuttle runs is a predictor for MSK-I risk in males ; ( c ) moderate evidence in males and limited evidence in females that poor performance on a timed step test is a predictor of MSK-I risk ; and ( d ) limited or insufficient evidence that poor performance on the Cooper run test , maximal and submaximal aerobic grade d exercise tests , and the Conconi test are predictors of MSK-I risk in males or females or both .
Several measures of CRE are risk factors for training-related MSK-I in military and civilian athletic population s , indicating that CRE may be an important measure for MSK-I risk stratification
A systematic review of the association between physical fitness and musculoskeletal injury risk : part 1—cardiorespiratory endurance .
J Strength Cond Res 31(6 ) : 1744–1757 , 2017—Musculoskeletal injuries ( MSK-Is ) are a significant health problem for both military and athletic population s. Research indicates that MSK-I is associated with physical fitness ; however , the association between specific components of physical fitness and MSK-I in military and athletic population s has not been systematic ally examined .