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. Author manuscript; available in PMC: 2013 May 1.
Published in final edited form as: Am J Geriatr Psychiatry. 2012 May;20(5):425–432. doi: 10.1097/JGP.0b013e31821181c6

Table 1.

Association between depressive symptoms measured by the GDS and individual gait variables

Linear Regression Model 1 Linear Regression Model 2§


Outcome
Variable
GDS
Coefficient
Lower CI Upper
CI
P value GDS
Coefficient
Lower CI Upper
CI
P value
Velocity, cm/s −2.98 (−3.85 to −2.10) <0.001 −1.17 (−2.05 to −0.30) 0.01
Stride Length, cm −2.39 (−3.14 to −1.64) <0.001 −0.95 (−1.69 to −0.21) 0.01
Cadence, steps/min −1.17 (−1.66 to −0.68) <0.001 −0.45 (−0.99 to 0.09) 0.1
Stance Time, seconds 0.01 (0.01 to 0.02) <0.001† 0.004 (−0.003 to 0.01) 0.29
Swing Time, seconds 0.003 (0.001 to 0.005) 0.01 0.002 (−0.001 to 0.004) 0.17
Double Support Time, seconds 0.01 (0.01 to 0.02) <0.001 0.003 (−0.004 to 0.01) 0.36
Stride Length Variability, log SD 0.02 (−0.01 to 0.04) 0.15 0.01 (−0.02 to 0.03) 0.51
Swing Time Variability, log SD 0.06 (0.04 to 0.09) <0.001 0.03 (0.002 to 0.06) 0.03

Indicates significant P-value (<0.05) after applying correction for multiple comparisons (see Methods for description).

Linear regression model adjusted for baseline gds, age, sex, race, and education; p-value for variables are derived from t-statistic and has 603 residual degrees of freedom

§

Linear regression model additionally adjusted for medical illness index, presence of clinical gait abnormalities, Blessed-Information-Memory-Concentration test score, mean arterial pressure, body mass index, physical activity scale score, and psychotropic use; 489 residual degrees of freedom