Clinical measures associated with dynamic balance and functional movement.

J Strength Cond Res

1Doctoral Program in Physical Therapy, U.S. Army-Baylor University, Fort Sam, Houston, Texas; 2U.S. Army Public Health Command Region-South, Fort Sam, Houston, Texas; and 3Department of Physical Therapy, 81st Medical Group, Keesler Air Force Base, Biloxi, Mississippi.

Published: May 2014

Decreased balance and impaired functional movement have been linked with increased injury risk. The purpose of our study was to determine the association between specific measures of power, strength, flexibility, balance, and endurance compared with more global measures of dynamic balance, using the Y-Balance Test (YBT), and functional movement, using the functional movement screen (FMS), in healthy soldiers. Our participants (n = 64; 53 men, 11 women) were healthy active duty service members (25.2 ± 3.8 years, 25.1 ± 3.1 kg·m(-2)). Seventeen tests with 38 associated measures of strength, power, flexibility, endurance, balance, and functional measures were assessed. A significant Pearson product moment correlation (r > 0.2 and p < 0.01) was used to narrow the number of variables of interest. Two hierarchical stepwise regression analyses were performed to determine the most parsimonious set of variables associated with the YBT and FMS performance scores. Our results included a 4 variable model (F = 13.4, p < 0.001) that was associated with YBT scores (R = 0.72, R2 = 0.51). Superior performance on the YBT was associated with better performance on the FMS lunge and upper trunk mobility tests, decreased number of hops during a 6-m hop test, and greater gastrocnemius flexibility. A second 4 variable model (F = 11.813, p < 0.001) was associated with FMS scores (R = 0.70, R2 = 0.50). Superior performance on the FMS was associated with greater anterior reach on the YBT, greater distance on the crossover hop test, increased hamstring flexibility, and higher levels of self-reported function through the lower-extremity functional scale. Physical fitness leaders and clinicians could use these models to inform decision making when developing and assessing the outcomes of a personalized intervention program for those with low FMS and YBT scores.

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Source
http://dx.doi.org/10.1519/JSC.0000000000000272DOI Listing

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