Table 2.

Linear regression model results for the associations of baseline inflammation markers (predictor) with multisensory impairment (outcome)^*

Inflammation Marker**	Number of Impairments (0–4) ß (95% CI)	p	Multisensory Function Score (0–12) ß (95% CI)	p
CRP, log μg/mL	0.07 (0.01, 0.12)	0.01	0.10 (-0.04, 0.24)	0.16
IL-6, log pg/mL	0.11 (0.04, 0.18)	0.003	0.44 (0.26, 0.63)	<0.001
TNF-α, log pg/mL	0.03 (-0.07, 0.14)	0.54	0.25 (-0.03, 0.54)	0.08
High Inflammation
None	Ref		Ref
One Marker	0.12 (0.02, 0.21)	0.02	0.35 (0.09, 0.61)	0.009
Multiple Markers	0.22 (0.10, 0.34)	<0.001	0.58 (0.26, 0.90)	<0.001

Abbreviations: CRP, C-reactive protein; IL-6, interleukin-6; pg/mL, picogram per milliliter; SD, standard deviation; TNF-α, Tumor Necrosis Factor-α; μg/mL, microgram per milliliter

^*All models adjusted for age, sex, race, education, body mass index, heart disease, diabetes, sedentary lifestyle, depression, smoking, and alcohol use.

^**CRP, IL-6, and TNF-α values were log transformed and included as the primary predictor in separate linear regression models; number of high inflammation markers was included as a categorial predictor in separate models; high levels were based on the highest quartile of each inflammation marker. Estimates (ßs) note the estimated difference in the number of impairments or multisensory score for 1 unit of the predictor.