Future studies should also consider measures of ME and MS as a function of upper body , lower body , and core strength , and their potential association with specific , rather than general ,
Abstract de la Motte , SJ , Gribbin , TC , Lisman , P , Murphy , K , and Deuster , PA .
A systematic review of the association between physical fitness and musculoskeletal injury risk : part 2—muscular endurance and muscular strength .
What Risk Factors Are Associated With Musculoskeletal Injury in US Army Rangers? A Prospective Prognostic Study
Background Musculoskeletal injury is the most common reason that soldiers are medically not ready to deploy . Underst and ing intrinsic risk factors that may place an elite soldier at risk of musculoskeletal injury may be beneficial in preventing musculoskeletal injury and maintaining operational military readiness . Findings from this population may also be useful as hypothesis-generating work for particular civilian setting s such as law enforcement officers ( SWAT teams ) , firefighters ( smoke jumpers ) , or others in physically dem and ing professions . Questions / purpose sThe purpose s of this study were ( 1 ) to examine whether using baseline measures of self-report and physical performance can identify musculoskeletal injury risk ; and ( 2 ) to determine whether a combination of predictors would enhance the accuracy for determining future musculoskeletal injury risk in US Army Rangers . Methods Our study was a planned secondary analysis from a prospect i ve cohort examining how baseline factors predict musculoskeletal injury . Baseline predictors associated with musculoskeletal injury were collected using surveys and physical performance measures . Survey data included demographic variables , injury history , and biopsychosocial questions . Physical performance measures included  ankle dorsiflexion , Functional Movement Screen , lower and upper quarter Y-balance test , hop testing , pain provocation , and the Army Physical Fitness Test ( consisting of a 2-mile run and 2 minutes of sit-ups and push-ups ) . A total of 320 Rangers were invited to enroll and 211 participated ( 66 % ) . Occurrence of musculoskeletal injury was tracked for 1 year using monthly injury surveillance surveys , medical record review s , and a query of the Department of Defense healthcare utilization data base . Injury surveillance data were available on 100 % of the subjects . Receiver operator characteristic curves and accuracy statistics were calculated to identify predictors of interest . A logistic regression equation was then calculated to find the most pertinent set of predictors . Of the 188 Rangers ( age , 23.3 ± 3.7 years ; body mass index , 26.0 ± 2.4 kg/m2 ) remaining in the cohort , 85 ( 45.2 % ) sustained a musculoskeletal injury of interest .  Results Smoking , prior surgery , recurrent prior musculoskeletal injury , limited-duty days in the prior year for musculoskeletal injury , asymmetrical ankle dorsiflexion , pain with Functional Movement Screen clearing tests , and decreased performance on the 2-mile run and 2-minute sit-up test were associated with increased injury risk . Presenting with one or fewer predictors result ed in a sensitivity of 0.90 ( 95 % confidence interval [ CI ] , 0.83–0.95 ) , and having three or more predictors result ed in a specificity of 0.98 ( 95 % CI , 0.93–0.99 ) . The combined factors that contribute to the final multivariable logistic regression equation yielded an odds ratio of 4.3 ( 95 % CI , 2.0–9.2 ) , relative risk of 1.9 ( 95 % CI , 1.4–2.6 ) , and an area under the curve of 0.64 . Conclusions Multiple factors ( musculoskeletal injury history , smoking , pain provocation , movement tests , and lower scores on physical performance measures ) were associated with individuals at risk for musculoskeletal injury . The summation of the number of risk factors produced a highly sensitive ( one or less factor ) and specific ( three or more factors ) model that could potentially be used to effectively identify and intervene in those persons with elevated risk for musculoskeletal injury . Future research should establish if screening and intervening can improve musculoskeletal health and if our findings among US Army Rangers translate to other occupations or athletes . Level of Evidence Level II , prognostic study
Future studies should also consider measures of ME and MS as a function of upper body , lower body , and core strength , and their potential association with specific , rather than general ,
Abstract de la Motte , SJ , Gribbin , TC , Lisman , P , Murphy , K , and Deuster , PA .
A systematic review of the association between physical fitness and musculoskeletal injury risk : part 2—muscular endurance and muscular strength .