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1.
Prosthet Orthot Int ; 47(6): 607-613, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-38064296

ABSTRACT

BACKGROUND: Ankle-foot orthoses (AFOs) are widely used to restore mobility and reduce pain in individuals with lower extremity pain and disability. The use of a carbon fiber custom dynamic orthosis (CDO) with integrated physical training and psychosocial intervention has been shown to improve outcomes in a military setting, but civilian data are limited. OBJECTIVES: To use existing clinical data to evaluate the initial effectiveness of an integrated CDO and rehabilitative program and identify baseline characteristics that impact patient response to the intervention. STUDY DESIGN: Retrospective cohort. METHODS: Records of 131 adult patients who received a CDO and device specific training were reviewed. Patient-reported measures of pain and lower extremity function and physical measurements of walking and agility were extracted at baseline and on training completion. RESULTS: A majority of patients reported improved or greatly improved physical function (92%), maximum pain (69%), and typical pain (55%) and experienced improved or greatly improved walking speed (92%) and agility (52%) irrespective of age and sex. Regression models for examining short-term improvement in pain and physical function accounted for 52% (p < 0.001) and 26% (p < 0.001) of the outcome variance, respectively. Improvement in typical pain was influenced by baseline typical and maximum pain, and functional improvement was influenced by sex and baseline physical function. CONCLUSIONS: Most patients (92.4%) reported a positive initial outcome after intervention as measured using patient-reported and objective measures.


Subject(s)
Foot Orthoses , Orthotic Devices , Adult , Humans , Carbon Fiber , Self Report , Retrospective Studies , Pain , Walking/physiology
2.
Prosthet Orthot Int ; 2023 Nov 06.
Article in English | MEDLINE | ID: mdl-37934175

ABSTRACT

INTRODUCTION: Carbon fiber custom dynamic orthoses (CDOs) have been shown to effectively reduce pain and improve function in military service members with lower-limb impairment, but data are limited for civilians. OBJECTIVES: To evaluate the long-term outcomes of individuals who completed a CDO-centric care pathway in a civilian clinic by comparing baseline pain, mobility, and function with outcomes at long-term follow-up. To identify baseline characteristics and postintervention outcomes predictive of outcomes at long-term follow-up. METHODS: Records of 131 adult patients who received a CDO and CDO-centric training were reviewed. Patient-reported measures of pain and physical function and timed assessment of walking and agility collected during routine clinical care were extracted. These patients were contacted on average 4 (±1) years postintervention to complete a survey including measures of pain and physical function. RESULTS: The 63 participants who responded reported improved or greatly improved function, maximum pain, and typical pain on average, irrespective of age or sex (P < 0.001). Change in function from baseline to long-term follow-up was predicted by short-term change in function (35.1% of the variance; P < 0.001). Change in pain from baseline to long-term follow-up was predicted by baseline typical pain and change in four square step test time (63% of variance; P < 0.001). CONCLUSIONS: Most survey respondents reported positive outcomes. Long-term pain reduction and improved function were predicted by baseline status and by short-term changes associated with receiving a CDO and completing an intensive training program.

3.
Mil Med ; 181(10): 1324-1334, 2016 10.
Article in English | MEDLINE | ID: mdl-27753571

ABSTRACT

Performance on movement tests helps to predict injury risk in a variety of physically active populations. Understanding baseline measures for normal is an important first step. OBJECTIVES: Determine differences in physical performance assessments and describe normative values for these tests based on military unit type. METHODS: Assessment of power, balance, mobility, motor control, and performance on the Army Physical Fitness Test were assessed in a cohort of 1,466 soldiers. Analysis of variance was performed to compare the results based on military unit type (Rangers, Combat, Combat Service, and Combat Service Support) and analysis of covariance was performed to determine the influence of age and gender. RESULTS: Rangers performed the best on all performance and fitness measures (p < 0.05). Combat soldiers performed better than Combat Service and Service Support soldiers on several physical performance tests and the Army Physical Fitness Test (p < 0.05). Performance in Combat Service and Service Support soldiers was equivalent on most measures (p < 0.05). CONCLUSIONS: Functional performance and level of fitness varied significantly by military unit type. Understanding these differences will provide a foundation for future injury prediction and prevention strategies.


Subject(s)
Athletic Injuries/prevention & control , Military Personnel , Musculoskeletal System/injuries , Occupational Diseases/prevention & control , Risk Assessment/methods , Adolescent , Adult , Cohort Studies , Exercise , Female , Humans , Male , Middle Aged , Occupational Diseases/etiology , Prospective Studies , Range of Motion, Articular
4.
Clin Orthop Relat Res ; 473(9): 2948-58, 2015 Sep.
Article in English | MEDLINE | ID: mdl-26013150

ABSTRACT

BACKGROUND: Musculoskeletal injury is the most common reason that soldiers are medically not ready to deploy. Understanding 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 settings such as law enforcement officers (SWAT teams), firefighters (smoke jumpers), or others in physically demanding professions. QUESTIONS/PURPOSES: The purposes 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 prospective 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 reviews, and a query of the Department of Defense healthcare utilization database. 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/m(2)) 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 resulted in a sensitivity of 0.90 (95% confidence interval [CI], 0.83-0.95), and having three or more predictors resulted 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.


Subject(s)
Health Status Indicators , Health Status , Military Medicine , Military Personnel , Musculoskeletal Diseases/etiology , Occupational Diseases/etiology , Occupational Health , Adult , Area Under Curve , Humans , Logistic Models , Male , Multivariate Analysis , Musculoskeletal Diseases/diagnosis , Musculoskeletal Diseases/physiopathology , Occupational Diseases/diagnosis , Occupational Diseases/physiopathology , Odds Ratio , Physical Examination , Predictive Value of Tests , Prospective Studies , ROC Curve , Risk Assessment , Risk Factors , United States , Young Adult
5.
Arch Phys Med Rehabil ; 90(5): 761-7, 2009 May.
Article in English | MEDLINE | ID: mdl-19406295

ABSTRACT

OBJECTIVE: To determine whether changes in the transversus abdominis (TrA) and internal oblique (IO) muscles, as seen on ultrasound imaging, during the active straight leg raise (ASLR) test differ between subjects with and without unilateral lumbopelvic pain. DESIGN: Cross-sectional, case-control study. SETTING: Clinical laboratory. PARTICIPANTS: Subjects (n=15) with unilateral symptoms in the lumbopelvic region and age-matched and sex-matched control subjects (n=15). INTERVENTIONS: Bilateral measurements of the deep abdominal muscles (TrA and IO) were obtained simultaneously using ultrasound imaging to compare the percent change in muscle thickness from rest with (1) immediately on raising, (2) after a 10-second hold, and (3) within 5 seconds after returning the lower extremity to the plinth. MAIN OUTCOME MEASURE: Percent change in muscle thickness of both muscles from rest to the other 3 time intervals during the ASLR test. RESULTS: The 3-way group x side measured x time and 2-way side measured x time interactions were not significant for either the TrA (P> or =.34) or the IO (P> or =.14) muscles. The 2-way interaction group x time was significant for both the TrA (P=.003) and the IO (P=.02) muscles. On lifting the lower extremity, the control group demonstrated a 23.7% and 11.2% increase in TrA and IO muscle thickness, respectively, while those with lumbopelvic pain demonstrated a 6.4% and 5.7% increase in TrA and IO muscle thickness, respectively. CONCLUSIONS: Although subjects with unilateral lumbopelvic pain demonstrated a smaller increase in muscle thickness, during the ASLR test there appears to be a symmetrical response in both of the deep abdominal muscles regardless of which lower extremity is lifted during the ASLR test or the unilateral nature of the symptoms. This study attests to the potential construct validity of using the ASLR test to assess different motor control strategies of the TrA and IO muscles in subjects with unilateral lumbopelvic pain.


Subject(s)
Abdominal Muscles/diagnostic imaging , Exercise Test/methods , Muscle Strength/physiology , Ultrasonography, Doppler , Abdominal Muscles/physiology , Adolescent , Adult , Case-Control Studies , Confidence Intervals , Cross-Sectional Studies , Female , Humans , Leg , Low Back Pain/rehabilitation , Male , Middle Aged , Muscle Contraction/physiology , Muscle Relaxation/physiology , Observer Variation , Organ Size , Probability , Reference Values , Sensitivity and Specificity , Young Adult
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