Table 2.

Risk of incident dementia (n=283) according to ACC_ave and air pollution exposure

	Model 1a			Model 2b
variable	HR (95% confidence limits)	p-value	FDR p-value	HR (95% confidence limits)	p-value	FDR p-value
ACCave	0.67 (0.57,0.79)	6.26E-07	1.63E-05	0.71 (0.60,0.83)	3.76E-05	4.89E-04
PM2.5 absorb	1.04 (0.90,1.20)	0.616	0.616	1.04 (0.90,1.21)	0.602	0.616
PM2.5	1.09 (0.93,1.27)	0.287	0.373	1.1 (0.94,1.28)	0.253	0.346
PM10	1.13 (1.02,1.26)	0.022	0.073	1.14 (1.02,1.26)	0.020	0.073
PM2.5-PM10	1.07 (0.98,1.18)	0.141	0.207	1.08 (0.98,1.18)	0.135	0.207
NO	1.04 (0.91,1.19)	0.554	0.600	1.04 (0.92,1.19)	0.517	0.600
NO2	1.05 (0.89,1.25)	0.545	0.600	1.06 (0.89,1.25)	0.528	0.600
PM2.5 absorb*ACCave	1.26 (1.08,1.47)	0.004	0.021	1.24 (1.07,1.45)	0.005	0.023
PM2.5 * ACCave	1.35 (1.14,1.60)	3.95E-04	0.003	1.33 (1.13,1.57)	0.001	0.004
PM10*ACCave	1.15 (1.01,1.32)	0.032	0.077	1.15 (1.01,1.31)	0.040	0.077
PM2.5 – PM10*ACCave	1.13 (1.01,1.26)	0.036	0.077	1.12 (1.00,1.26)	0.041	0.077
NO*ACCave	1.17 (1.01,1.36)	0.033	0.077	1.16 (1.01,1.34)	0.039	0.077
NO2*ACCave	1.17 (0.96,1.42)	0.117	0.203	1.16 (0.95,1.40)	0.144	0.207

^aModel 1: Cox proportional hazards regression adjusted for age, sex, education, Townsend deprivation index, ethnicity, and APOE ε4 genotype. Models for main effects are mutually adjusted for PA and pollution variable and did not include interaction terms. Results for ACC_ave are from model that includes PM_{2.5 absorbance} as a covariate (results are similar for mutual adjustment for other pollution variables). Air pollution exposures are scaled so that a one unit increase equals one interquartile range increase.

^bModel 2: Cox proportional hazards regression adjusted for Model 1, alcohol consumption, smoking status, chronic disease, general health, depression, healthy diet score, BMI, difference in date between accelerometer wear and pollution measure, and accelerometer wear duration. Air pollution exposures are scaled so that a one unit increase equals one interquartile range increase.