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. 2018 Oct;70:247–253. doi: 10.1016/j.neurobiolaging.2018.06.032

Table 4.

Brain volume changes and presence of cortical brain infarcts per frailty component for the total group

Total brain volume (N = 195) Gray matter volume (n = 195) White matter volume (n = 195) WMH volume (n = 195) Cortical brain infarcts (n = 234)a
Slowness β = −12.60 (−25.91, 0.70) β = −5.63 (−14.02, 2.75) β = −6.97 (−16.77, 2.83) β = 0.23 (−0.14, 0.60) OR = 2.28 (0.84, 6.23)
Weakness β = −8.08 (−20.75, 4.59) β = −4.39 (−12.34, 3.57) β = −3.69 (−13.01, 5.63) β = 0.01 (−0.34, 0.36) OR = 1.31 (0.48, 3.59)
Weight loss β = −18.18 (−39.84, 3.47) β = −9.12 (−22.74, 4.50) β = −9.06 (−25.01, 6.88) β = 0.24 (−0.36, 0.84) -b
Exhaustion β = −2.94 (−16.56, 10.68) β = −2.93 (−11.47, 5.61) β = −0.01 (−10.01, 9.99) β = 0.36 (−0.02, 0.73) OR = 2.02 (0.73, 5.56)
Mobility β = −4.27 (−15.80, 7.25) β = −5.23 (−12.43, 1.97) β = 0.96 (−7.51, 9.42) β = −0.01 (−0.33, 0.31) OR = 1.78 (0.68, 4.65)

Linear regression analysis on the association between individual frailty components and total brain volume, gray matter volume, white matter volume, and WMH volume per frailty component adjusted for age, gender, intracranial volume, and study center. Regression beta coefficients are presented with a 95% confidence interval.

Key: WMH, white matter hyperintensities of presumed vascular origin.

a

Logistic regression analysis on cortical brain infarcts adjusted for age, gender, and study center. Adjusted odds ratios are presented with a 95% confidence interval.

b

There were no participants who fulfilled the criterion for weight loss and had a cortical brain infarct over 1.5 cm.