. Author manuscript; available in PMC: 2021 Aug 19.

Published in final edited form as: Brain Imaging Behav. 2020 Aug;14(4):1108–1117. doi: 10.1007/s11682-019-00058-y

Table 3.

Linear regression models in which total brain volume, white matter volume and gray matter volume are the outcomes and WBC, fibrinogen, hs-CRP and antiinflammatory medication are the predictors

Cohort	Predictors	Outcome

		TBV				WMV				GMV

SHIP-2 and SHIP-Trend^§ (n= 2204)		Coefficient	Standard error	FDR-adjusted p value	R²	Coefficient	Standard error	FDR-adjusted p value	R²	Coefficient	Standard error	FDR-adjusted p value	R²
	WBC	−23701	8065	(0.019) ^*	0.455	−6500	4026	(0.159)	0.389	−17201	4516	(0.017) ^*	0.525
	hs-CRP^a	−6231	2740	(0.055)	0.464	−2426	1363	(0.129)	0.409	−3804	1541	(0.039) ^*	0.533
	Fibrinogen^b	−21942	10153	(0.062)	0.455	−7778	5064	(0.165)	0.390	−14164	5693	(0.039) ^*	0.524
	Antiinflammatory medication	−3959	5431	(0.508)	0.453	−1359	2708	(0.615)	0.388	−2599	3045	(0.393)	0.522

^§

Models are adjusted for age, age², sex, body mass index, smoking, systolic blood pressure, antihypertension medication, antidiabetic drug use, HbA1c, cholesterol ratio, lipid lowering drug use, education and study cohort effects

TBV, total brain volume; WMV, white matter volume; GMV, gray matter volume; WBC, white blood cell count; hs-CRP, high sensitive C-reactive protein

significant at p<0.05

Measure available for n=1446 subjects

Measure available for n=2198 subjects