Mark A Lyle 1,2 , Jake C Jensen 3 , Jennifer L Hunnicutt 2 , Jonathan J Brown 3 , Cynthia P Chambliss 3 , Michael A Newsome 4 , John W Xerogeanes 2 , Liang-Ching Tsai 2,3 Show Affiliations »
Abstract
CONTEXT: Altered knee moments are common during gait in patients after anterior cruciate ligament reconstruction (ACLR). Modifiable factors that influence knee moments and are feasible to record in clinical settings such as strength and spatiotemporal values (eg, step length, step width) have not been identified in persons after ACLR. OBJECTIVE: To identify strength and spatiotemporal gait values that can predict knee moments in persons after ACLR. DESIGN: Cross-sectional study. SETTING: Laboratory. PATIENTS OR OTHER PARTICIPANTS: Twenty-three individuals with ACLR (14.4 ± 17.2 months post-ACLR). MAIN OUTCOME MEASURE(S): Peak knee-flexion and -adduction moments were measured while the participants walked at self-selected speeds. Peak isokinetic knee-extensor strength (60°/s) was recorded on a dynamometer, and spatiotemporal gait values were recorded using a pressure walkway. Pearson coefficients were calculated to examine the association of peak knee moments with strength and gait values. Variables correlated with peak knee-flexion and -adduction moments were entered into a stepwise regression model. RESULTS: Knee-extensor strength and step width were the strongest predictors of knee-flexion moment, accounting for 44% of the variance, whereas stance-phase time and step width were the strongest predictors of knee-adduction moment, explaining 62% of the variance. CONCLUSIONS: The identified spatiotemporal variables could be clinically feasible targets for biofeedback to improve gait after ACLR. © by the National Athletic Trainers' Association, Inc.
CONTEXT: Altered knee moments are common during gait in patients after anterior cruciate ligament reconstruction (ACLR). Modifiable factors that influence knee moments and are feasible to record in clinical settings such as strength and spatiotemporal values (eg, step length, step width) have not been identified in persons after ACLR. OBJECTIVE: To identify strength and spatiotemporal gait values that can predict knee moments in persons after ACLR. DESIGN: Cross-sectional study. SETTING: Laboratory. PATIENTS OR OTHER PARTICIPANTS: Twenty-three individuals with ACLR (14.4 ± 17.2 months post-ACLR). MAIN OUTCOME MEASURE(S): Peak knee-flexion and -adduction moments were measured while the participants walked at self-selected speeds. Peak isokinetic knee-extensor strength (60°/s) was recorded on a dynamometer, and spatiotemporal gait values were recorded using a pressure walkway. Pearson coefficients were calculated to examine the association of peak knee moments with strength and gait values. Variables correlated with peak knee-flexion and -adduction moments were entered into a stepwise regression model. RESULTS: Knee-extensor strength and step width were the strongest predictors of knee-flexion moment, accounting for 44% of the variance, whereas stance-phase time and step width were the strongest predictors of knee-adduction moment, explaining 62% of the variance. CONCLUSIONS: The identified spatiotemporal variables could be clinically feasible targets for biofeedback to improve gait after ACLR. © by the National Athletic Trainers' Association, Inc.
Entities: Chemical
Keywords:
biomechanics; knee function; osteoarthritis; walking
Mesh： See more »
Year: 2022
PMID： 35201302 PMCID： PMC8876876 DOI： 10.4085/1062-6050-0186.21
Source DB: PubMed Journal: J Athl Train ISSN： 1062-6050 Impact factor: 2.860