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. 2011 Apr 20;34(2):405–414. doi: 10.1007/s11357-011-9242-4

Table 3.

Correlation between changes in WMH burden and changes in mobility

N = 77 Balance standinga Chair risea Walk speeda Tinetti gaita Tinetti balancea
Age −0.145 (>0.1) −0.055 (>0.1) −0.119 (>0.1) −0.138 (>0.1) −0.057 (>0.1)
BMI 0.036 (>0.1) −0.012 (>0.1) 0.039 (>0.1) 0.007 (>0.1) −0.108 (>0.1)
Gender −0.003 (>0.1) −0.040 (>0.1) −0.158 (>0.1) 0.257 (0.026) 0.039 (>0.1)
tWMHb −0.045 (>0.1) −0.381 (0.001) −0.053 (>0.1) −0.066 (>0.1) 0.001 (>0.1)
GCC-WMHb −0.083 (>0.1) −0.297 (0.009) 0.03 (>0.1) 0.09 (>0.1) 0.088 (>0.1)
BCC-WMHb −0.053 (>0.1) −0.384 (0.001)c 0.019 (>0.1) −0.212 (0.068) −0.031 (>0.1)
SCC-WMHb −0.228 (0.046) −0.413 (0.0002)c 0.002 (>0.1) −0.116 (>0.1) −0.087 (>0.1)
ACR-WMHb 0.032 (>0.1) −0.186 (>0.1) −0.033 (>0.1) −0.01 (>0.1) 0.162 (>0.1)
SCR-WMHb −0.056 (>0.1) −0.300 (0.008) −0.105 (>0.1) −0.119 (>0.1) −0.074 (>0.1)
PCR-WMHb 0.004 (>0.1) −0.247 (0.031) 0.056 (>0.1) 0.006 (>0.1) −0.028 (>0.1)
SLF-WMHb 0.04 (>0.1) −0.140 (>0.1) −0.095 (>0.1) 0.033 (>0.1) −0.087 (>0.1)

Values represent Spearman’s correlation rho (p value). Significant correlations are highlighted in bold. Categorical variables: gender (men = 0, women = 1) and the mobility measures. All other variables are continuous. No significant correlations were observed with other mobility tests, i.e., usual walking velocity, self-paced maximum walking velocity, stair time, and turn time, and therefore are not shown

tWMH total WMH burden. Regional burdens: in corpus callosum genu (GCC-WMH), body (BCC-WMH), and splenium (SCC-WMH); in corona radiata anterior (ACR-WMH), superior (SCR-WMH), and posterior (PCR-WMH); and in superior longitudinal fasciculus (SLF-WMH)

aMobility measures (decline = 0, no-decline = 1)

bDifference = [follow-up − baseline]

cRemained significant after Bonferroni correction for multiple correlations (threshold p <0.007)