Missingness in outcomes

Table 1

	No (N=2041)	Yes (N=837)	P-value
Cohort
Original	1431 (70.1%)	506 (60.5%)	<0.001
Expansion	339 (16.6%)	192 (22.9%)
Replacement	271 (13.3%)	139 (16.6%)
Gender
Female	1139 (55.8%)	481 (57.5%)	0.439
Male	902 (44.2%)	356 (42.5%)
Age at Death
Mean (SD)	86.6 (7.18)	89.2 (6.65)	<0.001
Median [Min, Max]	87.2 [66.4, 108]	89.7 [68.9, 106]
Year of Death
Mean (SD)	2010 (6.80)	2010 (6.00)	<0.001
Median [Min, Max]	2010 [1990, 2020]	2010 [2000, 2020]
race_cat_simp_adjusted
Non-White	220 (10.8%)	49 (5.9%)	<0.001
White	1821 (89.2%)	788 (94.1%)
APOE_adjusted_no
- APOE e4	1586 (77.7%)	612 (73.1%)	0.01
+ APOE e4	455 (22.3%)	225 (26.9%)
Ever Smoker
No	929 (45.5%)	377 (45.0%)	0.848
Yes	1112 (54.5%)	460 (55.0%)
alcohol_cat_adjusted
Never	432 (21.2%)	155 (18.5%)	0.025
Former	581 (28.5%)	214 (25.6%)
Current	1028 (50.4%)	468 (55.9%)
exercise_cat_adjusted
No	679 (33.3%)	249 (29.7%)	0.073
Yes	1362 (66.7%)	588 (70.3%)
Education
Less than High School	271 (13.3%)	65 (7.8%)	<0.001
GED	49 (2.4%)	12 (1.4%)
High School	915 (44.8%)	341 (40.7%)
Bachelor's	391 (19.2%)	198 (23.7%)
Master's	187 (9.2%)	111 (13.3%)
Doctorate	70 (3.4%)	46 (5.5%)
Other	158 (7.7%)	64 (7.6%)
education_cat_adjusted
< 13	815 (39.9%)	243 (29.0%)	<0.001
13-16	851 (41.7%)	364 (43.5%)
17+	375 (18.4%)	230 (27.5%)
nses_z_cx_adjusted
Mean (SD)	-0.656 (0.715)	-0.692 (0.709)	0.217
Median [Min, Max]	-0.775 [-2.66, 2.64]	-0.798 [-2.66, 2.47]
PM2.5 Exposure from Death (10 year)
Mean (SD)	8.81 (2.23)	7.97 (1.66)	<0.001
Median [Min, Max]	8.47 [3.77, 17.1]	7.72 [4.03, 14.6]
NO2 Exposure from Death (10 year)
Mean (SD)	13.9 (3.80)	13.4 (3.51)	<0.001
Median [Min, Max]	13.4 [4.82, 35.0]	12.7 [4.88, 30.7]
Heart_Dis
No	1148 (56.2%)	570 (68.1%)	0.007
Yes	646 (31.7%)	250 (29.9%)
Missing	247 (12.1%)	17 (2.0%)
Hypertension
No	599 (29.3%)	324 (38.7%)	0.003
Yes	1195 (58.5%)	496 (59.3%)
Missing	247 (12.1%)	17 (2.0%)
Diabetes
No	1457 (71.4%)	690 (82.4%)	0.078
Yes	337 (16.5%)	130 (15.5%)
Missing	247 (12.1%)	17 (2.0%)
bmi_adjusted
Mean (SD)	27.4 (4.85)	26.9 (4.74)	0.007
Median [Min, Max]	27.0 [15.7, 50.3]	26.3 [15.9, 48.9]
Dementia Status
No Dementia	1363 (66.8%)	456 (54.5%)	<0.001
Dementia	678 (33.2%)	381 (45.5%)
Arrhythmia
No	1339 (65.6%)	549 (65.6%)	1
Yes	702 (34.4%)	288 (34.4%)
Had Autopsy
No	2041 (100%)	0 (0%)	<0.001
Yes	0 (0%)	837 (100%)
CV_DIS_adj
1	1804 (88.4%)	741 (88.5%)	0.965
2	237 (11.6%)	96 (11.5%)
Marital Status
Married	1051 (51.5%)	454 (54.2%)	0.194
Not Married	990 (48.5%)	383 (45.8%)
Hipposcampal Sclerosis
0	0 (0%)	692 (82.7%)	NA
1	0 (0%)	123 (14.7%)
Missing	2041 (100%)	22 (2.6%)
as.factor(Hippocampal_Sclerosis)
Bilateral	0 (0%)	7 (0.8%)	NA
Missing/Unknown	0 (0%)	16 (1.9%)
None	0 (0%)	692 (82.7%)
Present, but laterality not assessed	0 (0%)	89 (10.6%)
Unilateral	0 (0%)	11 (1.3%)
Missing	2041 (100%)	22 (2.6%)
Lewy Body Disease
0	0 (0%)	657 (78.5%)	NA
1	0 (0%)	180 (21.5%)
Missing	2041 (100%)	0 (0%)
as.factor(lewybodydis_cat)
1	0 (0%)	656 (78.4%)	NA
1.5	0 (0%)	1 (0.1%)
2	0 (0%)	39 (4.7%)
3	0 (0%)	28 (3.3%)
4	0 (0%)	38 (4.5%)
5	0 (0%)	5 (0.6%)
6	0 (0%)	70 (8.4%)
Missing	2041 (100%)	0 (0%)
LATE
0	0 (0%)	429 (51.3%)	NA
1	0 (0%)	387 (46.2%)
Missing	2041 (100%)	21 (2.5%)
as.factor(late_stg)
0	0 (0%)	429 (51.3%)	NA
1	0 (0%)	176 (21.0%)
2	0 (0%)	199 (23.8%)
3	0 (0%)	12 (1.4%)
Missing	2041 (100%)	21 (2.5%)
APOE Status
- APOE e4	1292 (63.3%)	585 (69.9%)	0.382
+ APOE e4	455 (22.3%)	225 (26.9%)
Missing	294 (14.4%)	27 (3.2%)
Thal Phase
0	0 (0%)	50 (6.0%)	NA
1	0 (0%)	34 (4.1%)
2	0 (0%)	37 (4.4%)
3	0 (0%)	86 (10.3%)
4	0 (0%)	107 (12.8%)
5	0 (0%)	65 (7.8%)
Missing	2041 (100%)	458 (54.7%)

Table for for LBD

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

## Warning in chisq.test(table(y, g)): Chi-squared approximation may be incorrect

	0 (N=657)	1 (N=180)	P-value
Cohort
Original	415 (63.2%)	91 (50.6%)	0.008
Expansion	142 (21.6%)	50 (27.8%)
Replacement	100 (15.2%)	39 (21.7%)
Gender
Female	378 (57.5%)	103 (57.2%)	1
Male	279 (42.5%)	77 (42.8%)
Age at Death
Mean (SD)	89.0 (6.76)	89.6 (6.27)	0.278
Median [Min, Max]	89.6 [68.9, 106]	90.4 [74.6, 102]
Year of Death
Mean (SD)	2010 (5.91)	2010 (5.86)	<0.001
Median [Min, Max]	2010 [2000, 2020]	2010 [2000, 2020]
race_cat_simp_adjusted
Non-White	43 (6.5%)	6 (3.3%)	0.148
White	614 (93.5%)	174 (96.7%)
APOE_adjusted_no
- APOE e4	490 (74.6%)	122 (67.8%)	0.084
+ APOE e4	167 (25.4%)	58 (32.2%)
Ever Smoker
No	281 (42.8%)	96 (53.3%)	0.015
Yes	376 (57.2%)	84 (46.7%)
alcohol_cat_adjusted
Never	117 (17.8%)	38 (21.1%)	0.008
Former	184 (28.0%)	30 (16.7%)
Current	356 (54.2%)	112 (62.2%)
exercise_cat_adjusted
No	195 (29.7%)	54 (30.0%)	1
Yes	462 (70.3%)	126 (70.0%)
Education
Less than High School	55 (8.4%)	10 (5.6%)	0.081
GED	10 (1.5%)	2 (1.1%)
High School	280 (42.6%)	61 (33.9%)
Bachelor's	144 (21.9%)	54 (30.0%)
Master's	89 (13.5%)	22 (12.2%)
Doctorate	33 (5.0%)	13 (7.2%)
Other	46 (7.0%)	18 (10.0%)
education_cat_adjusted
< 13	202 (30.7%)	41 (22.8%)	0.112
13-16	278 (42.3%)	86 (47.8%)
17+	177 (26.9%)	53 (29.4%)
nses_z_cx_adjusted
Mean (SD)	-0.710 (0.701)	-0.627 (0.737)	0.18
Median [Min, Max]	-0.841 [-2.66, 2.47]	-0.725 [-2.43, 1.20]
PM2.5 Exposure from Death (10 year)
Mean (SD)	8.11 (1.65)	7.49 (1.60)	<0.001
Median [Min, Max]	7.94 [4.51, 14.3]	6.95 [4.03, 14.6]
NO2 Exposure from Death (10 year)
Mean (SD)	13.5 (3.53)	13.0 (3.45)	0.143
Median [Min, Max]	12.8 [4.88, 30.7]	12.4 [5.61, 26.9]
Heart_Dis
No	439 (66.8%)	131 (72.8%)	0.265
Yes	202 (30.7%)	48 (26.7%)
Missing	16 (2.4%)	1 (0.6%)
Hypertension
No	241 (36.7%)	83 (46.1%)	0.042
Yes	400 (60.9%)	96 (53.3%)
Missing	16 (2.4%)	1 (0.6%)
Diabetes
No	534 (81.3%)	156 (86.7%)	0.259
Yes	107 (16.3%)	23 (12.8%)
Missing	16 (2.4%)	1 (0.6%)
bmi_adjusted
Mean (SD)	26.9 (4.78)	26.8 (4.64)	0.745
Median [Min, Max]	26.3 [15.9, 48.9]	26.3 [16.6, 46.8]
Dementia Status
No Dementia	382 (58.1%)	74 (41.1%)	<0.001
Dementia	275 (41.9%)	106 (58.9%)
Arrhythmia
No	421 (64.1%)	128 (71.1%)	0.095
Yes	236 (35.9%)	52 (28.9%)
CV_DIS_adj
1	581 (88.4%)	160 (88.9%)	0.969
2	76 (11.6%)	20 (11.1%)
Marital Status
Married	348 (53.0%)	106 (58.9%)	0.184
Not Married	309 (47.0%)	74 (41.1%)
Hipposcampal Sclerosis
0	557 (84.8%)	135 (75.0%)	0.127
1	91 (13.9%)	32 (17.8%)
Missing	9 (1.4%)	13 (7.2%)
as.factor(Hippocampal_Sclerosis)
Bilateral	3 (0.5%)	4 (2.2%)	0.01
Missing/Unknown	15 (2.3%)	1 (0.6%)
None	557 (84.8%)	135 (75.0%)
Present, but laterality not assessed	67 (10.2%)	22 (12.2%)
Unilateral	6 (0.9%)	5 (2.8%)
Missing	9 (1.4%)	13 (7.2%)
LATE
0	361 (54.9%)	68 (37.8%)	<0.001
1	276 (42.0%)	111 (61.7%)
Missing	20 (3.0%)	1 (0.6%)
as.factor(late_stg)
0	361 (54.9%)	68 (37.8%)	<0.001
1	130 (19.8%)	46 (25.6%)
2	139 (21.2%)	60 (33.3%)
3	7 (1.1%)	5 (2.8%)
Missing	20 (3.0%)	1 (0.6%)
APOE Status
- APOE e4	468 (71.2%)	117 (65.0%)	0.09
+ APOE e4	167 (25.4%)	58 (32.2%)
Missing	22 (3.3%)	5 (2.8%)
as.factor(lewybodydis_cat)
1	656 (99.8%)	0 (0%)	<0.001
1.5	1 (0.2%)	0 (0%)
2	0 (0%)	39 (21.7%)
3	0 (0%)	28 (15.6%)
4	0 (0%)	38 (21.1%)
5	0 (0%)	5 (2.8%)
6	0 (0%)	70 (38.9%)

	LBP- and clinical diagnosis (N=275)	LBP- and no clinical diagnosis (N=382)	LBP+ and clinical diagnosis (N=106)	LBP+ and no clinical diagnosis (N=74)	Overall (N=837)
CERAD_cat_ordered
None	38 (13.8%)	125 (32.7%)	8 (7.5%)	15 (20.3%)	186 (22.2%)
Sparse	50 (18.2%)	108 (28.3%)	17 (16.0%)	27 (36.5%)	202 (24.1%)
Moderate	74 (26.9%)	80 (20.9%)	24 (22.6%)	17 (23.0%)	195 (23.3%)
Frequent	112 (40.7%)	61 (16.0%)	50 (47.2%)	12 (16.2%)	235 (28.1%)
Missing	1 (0.4%)	8 (2.1%)	7 (6.6%)	3 (4.1%)	19 (2.3%)
Braak_cat_ordered
0	5 (1.8%)	17 (4.5%)	1 (0.9%)	1 (1.4%)	24 (2.9%)
B1	33 (12.0%)	145 (38.0%)	6 (5.7%)	17 (23.0%)	201 (24.0%)
B2	75 (27.3%)	146 (38.2%)	28 (26.4%)	38 (51.4%)	287 (34.3%)
B3	161 (58.5%)	62 (16.2%)	63 (59.4%)	14 (18.9%)	300 (35.8%)
Missing	1 (0.4%)	12 (3.1%)	8 (7.5%)	4 (5.4%)	25 (3.0%)

##    
##     None Sparse Moderate Frequent
##   0    5      1        0        0
##   1    3      6        0        1
##   2    8     14        4        3
##   3    9     14       12        6
##   4   14     16       17       14
##   5    4      7       38       51
##   6    3      8       19       69

##    
##     None Sparse Moderate Frequent
##   0   11      3        3        0
##   1   27     19        8        1
##   2   38     34       16       16
##   3   33     37       24        6
##   4   26     28       19       10
##   5    3     10       21       27
##   6    1      1        2        9

Correlation across outcomes

HS vs. LBD

##          
##           LBD: No LBD: Yes
##   HS: No      557      135
##   HS: Yes      91       32

HS vs. LATE

##          
##           LATE: No LATE: Yes
##   HS: No       396       280
##   HS: Yes       23        95

LBD vs. LATE

##           
##            LATE: No LATE: Yes
##   LBD: No       361       276
##   LBD: Yes       68       111

Outcomes by Modifier

By sex

	Female (N=481)	Male (N=356)	P-value
Hipposcampal Sclerosis
0	399 (83.0%)	293 (82.3%)	0.956
1	70 (14.6%)	53 (14.9%)
Missing	12 (2.5%)	10 (2.8%)
Lewy Body Disease
0	378 (78.6%)	279 (78.4%)	1
1	103 (21.4%)	77 (21.6%)
LATE
0	242 (50.3%)	187 (52.5%)	0.564
1	227 (47.2%)	160 (44.9%)
Missing	12 (2.5%)	9 (2.5%)

By smoking

	No (N=377)	Yes (N=460)	P-value
Hipposcampal Sclerosis
0	305 (80.9%)	387 (84.1%)	0.385
1	60 (15.9%)	63 (13.7%)
Missing	12 (3.2%)	10 (2.2%)
Lewy Body Disease
0	281 (74.5%)	376 (81.7%)	0.015
1	96 (25.5%)	84 (18.3%)
LATE
0	185 (49.1%)	244 (53.0%)	0.204
1	185 (49.1%)	202 (43.9%)
Missing	7 (1.9%)	14 (3.0%)

By age group (< 90 or 90+)

	< 90 (N=432)	90+ (N=405)	P-value
Hipposcampal Sclerosis
0	372 (86.1%)	320 (79.0%)	0.01
1	50 (11.6%)	73 (18.0%)
Missing	10 (2.3%)	12 (3.0%)
Lewy Body Disease
0	343 (79.4%)	314 (77.5%)	0.567
1	89 (20.6%)	91 (22.5%)
LATE
0	251 (58.1%)	178 (44.0%)	<0.001
1	165 (38.2%)	222 (54.8%)
Missing	16 (3.7%)	5 (1.2%)

Table 1 for IPW variables

	No (N=2041)	Yes (N=837)	P-value
Age at Death
Mean (SD)	86.6 (7.18)	89.2 (6.65)	<0.001
Median [Min, Max]	87.2 [66.4, 108]	89.7 [68.9, 106]
Cohort
Original	1431 (70.1%)	506 (60.5%)	<0.001
Expansion	339 (16.6%)	192 (22.9%)
Replacement	271 (13.3%)	139 (16.6%)
Gender
Female	1139 (55.8%)	481 (57.5%)	0.439
Male	902 (44.2%)	356 (42.5%)
Race
Non-White	220 (10.8%)	49 (5.9%)	<0.001
White	1820 (89.2%)	788 (94.1%)
Missing	1 (0.0%)	0 (0%)
NDI
Mean (SD)	-0.655 (0.720)	-0.692 (0.714)	0.217
Median [Min, Max]	-0.782 [-2.66, 2.64]	-0.805 [-2.66, 2.47]
Missing	26 (1.3%)	12 (1.4%)
education_cat
< 13	815 (39.9%)	243 (29.0%)	<0.001
13-16	850 (41.6%)	364 (43.5%)
17+	375 (18.4%)	230 (27.5%)
Missing	1 (0.0%)	0 (0%)
Dementia Status
No Dementia	1363 (66.8%)	456 (54.5%)	<0.001
Dementia	678 (33.2%)	381 (45.5%)
Marital Status
Married	1051 (51.5%)	454 (54.2%)	0.194
Not Married	990 (48.5%)	383 (45.8%)

Primary Models

 hs_mod1_pm25_primary <- glm(HS_bi ~ 
                                
                                exp_avgdeath_10_yr_ST_pm25_iqr + 
                                age_death_yrs_centered + 
                                male_cat, 
                              
                              data = autopsy_dead, weights = ipw_final_truncated,family = "binomial")

   hs_mod2_pm25_primary <- glm(HS_bi ~ 
                                  
                                  exp_avgdeath_10_yr_ST_pm25_iqr + 
                                  age_death_yrs_centered + 
                                  male_cat + 
                                  race_cat_simp + 
                                  nses_z_cx + 
                                  splines::bs(death_year_centered) + 
                                  apoe + 
                                  cohort_cat + 
                                  degree_cat, 
                                
                                data = autopsy_dead, weights = ipw_final_truncated,family = "binomial")

   hs_mod3_pm25_primary <- glm(HS_bi ~ 
                                  
                                  exp_avgdeath_10_yr_ST_pm25_iqr + 
                                  age_death_yrs_centered + 
                                  male_cat + 
                                  race_cat_simp + 
                                  nses_z_cx + 
                                  splines::bs(death_year_centered) + 
                                  apoe + 
                                  smoke_bi_adjusted + 
                                  exercise_cat + 
                                  alcohol_cat + 
                                  cohort_cat +
                                  degree_cat +
                                  bmi +
                                  diabetes_cat_tv +
                                  HTN_cat_tv +
                                  Heart_Dis_tv, 
                                
                                data = autopsy_dead, weights = ipw_final_truncated,family = "binomial")

hs_mod2_pm25_htnmod<- glm(HS_bi ~ 
                             
                             exp_avgdeath_10_yr_ST_pm25_iqr*male_cat + 
                             age_death_yrs_centered + 
                             race_cat_simp + 
                             nses_z_cx + 
                             splines::bs(death_year_centered) + 
                             apoe + 
                             cohort_cat + 
                             education_cat, 
                           
                           data = autopsy_dead, weights = ipw_final_90l_truncated,family = "binomial")

hs_mod2_pm25_htnmod<- glm(HS_bi ~ 
                             
                             exp_avgdeath_10_yr_ST_pm25_iqr*smoke_bi_adjusted + 
                             age_death_yrs_centered + 
                             race_cat_simp + 
                             nses_z_cx + 
                             splines::bs(death_year_centered) + 
                             apoe + 
                             cohort_cat + 
                             education_cat, 
                           
                           data = autopsy_dead, weights = ipw_final_90l_truncated,family = "binomial")

Aim 1: Lewy Body Pathologies

Hippocampal sclerosis

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.021	0.000 – 17.161	0.270	0.024	0.000 – 0.725	0.049
PM 2.5 Exposure from Death(10 year,IQR)	1.012	0.861 – 1.189	0.882
splines::bs(age_death_yrs_centered)1	34.288	0.049 – 87508.661	0.330	32.953	0.048 – 81423.848	0.333
splines::bs(age_death_yrs_centered)2	0.743	0.050 – 11.498	0.829	0.716	0.048 – 11.078	0.808
splines::bs(age_death_yrs_centered)3	162.348	1.128 – 53323.076	0.060	152.834	1.078 – 49182.859	0.062
Gender: Male	1.432	0.924 – 2.219	0.108	1.439	0.928 – 2.231	0.103
race_cat_simp_adjustedWhite	0.841	0.413 – 1.880	0.650	0.853	0.418 – 1.912	0.679
nses z cx adjusted	0.906	0.657 – 1.239	0.540	0.891	0.651 – 1.213	0.468
splines::bs(death_year_centered)1	0.930	0.003 – 295.745	0.980	0.709	0.006 – 113.643	0.891
splines::bs(death_year_centered)2	0.073	0.003 – 1.651	0.101	0.062	0.010 – 0.407	0.003
splines::bs(death_year_centered)3	2.545	0.028 – 246.407	0.686	2.132	0.139 – 39.493	0.598
APOE adjusted no: +APOE e 4	1.462	0.919 – 2.295	0.103	1.461	0.919 – 2.292	0.103
Cohort: Expansion	1.492	0.852 – 2.563	0.153	1.439	0.816 – 2.492	0.200
Cohort: Replacement	0.717	0.323 – 1.506	0.395	0.708	0.319 – 1.487	0.376
education_cat_adjusted13-16	1.288	0.796 – 2.101	0.306	1.262	0.778 – 2.065	0.348
education_cat_adjusted17+	1.094	0.587 – 2.005	0.773	1.063	0.568 – 1.956	0.845
Ever Smoker: Yes	0.857	0.554 – 1.327	0.487	0.853	0.551 – 1.322	0.474
NO 2 Exposure from Death(10 year,IQR)				1.048	0.930 – 1.172	0.423
Observations	815			815
R² Tjur	0.060			0.061

Stratified, PM2.5

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.000	0.000 – 0.777	0.073	2.330	0.000 – 9495.515	0.843
PM 2.5 Exposure from Death(10 year,IQR)	1.066	0.834 – 1.349	0.602	0.975	0.778 – 1.231	0.827
splines::bs(age_death_yrs_centered)1	602092.689	0.520 – 145025278868556.188	0.123	0.646	0.019 – 26.025	0.812
splines::bs(age_death_yrs_centered)2	98.420	0.186 – 1614451.492	0.262	3.034	0.029 – 210.917	0.616
splines::bs(age_death_yrs_centered)3	4719.672	1.054 – 1109268272.725	0.116	10.777	0.030 – 13318.364	0.443
Gender: Male	1.643	0.853 – 3.208	0.140	1.420	0.785 – 2.556	0.243
race_cat_simp_adjustedWhite	0.613	0.234 – 1.812	0.342	1.347	0.467 – 4.933	0.612
nses z cx adjusted	0.890	0.544 – 1.438	0.637	0.920	0.606 – 1.375	0.689
splines::bs(death_year_centered)1	23.461	0.006 – 139119.244	0.465	0.007	0.000 – 6.905	0.147
splines::bs(death_year_centered)2	0.088	0.001 – 7.931	0.299	0.042	0.001 – 2.717	0.132
splines::bs(death_year_centered)3	33.101	0.031 – 36221.880	0.323	0.163	0.001 – 45.650	0.522
APOE adjusted no: +APOE e 4	1.016	0.492 – 2.014	0.965	2.344	1.257 – 4.315	0.007
Cohort: Expansion	1.362	0.530 – 3.309	0.505	1.430	0.705 – 2.818	0.309
Cohort: Replacement	0.533	0.123 – 2.021	0.373	0.669	0.234 – 1.694	0.420
education_cat_adjusted13-16	1.468	0.685 – 3.261	0.330	1.156	0.621 – 2.166	0.648
education_cat_adjusted17+	1.638	0.642 – 4.173	0.298	0.778	0.330 – 1.743	0.551
Ever Smoker: Yes	0.913	0.464 – 1.819	0.792	0.748	0.417 – 1.336	0.327
Observations	422			393
R² Tjur	0.038			0.081

Stratified, NO2

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.000	0.000 – 0.143	0.052	0.499	0.014 – 15.817	0.693
NO 2 Exposure from Death(10 year,IQR)	1.018	0.830 – 1.219	0.855	1.065	0.910 – 1.234	0.413
splines::bs(age_death_yrs_centered)1	611270.113	0.620 – 133194742874604.422	0.118	0.732	0.021 – 29.824	0.865
splines::bs(age_death_yrs_centered)2	98.065	0.197 – 1572278.563	0.258	2.458	0.023 – 174.132	0.686
splines::bs(age_death_yrs_centered)3	4604.565	1.129 – 1025787835.592	0.113	12.233	0.034 – 15233.279	0.419
Gender: Male	1.646	0.853 – 3.219	0.139	1.454	0.802 – 2.626	0.214
race_cat_simp_adjustedWhite	0.636	0.247 – 1.860	0.373	1.472	0.507 – 5.468	0.515
nses z cx adjusted	0.912	0.564 – 1.464	0.705	0.883	0.587 – 1.316	0.545
splines::bs(death_year_centered)1	6.480	0.007 – 10839.287	0.606	0.010	0.000 – 5.722	0.139
splines::bs(death_year_centered)2	0.034	0.002 – 0.525	0.016	0.065	0.006 – 0.813	0.030
splines::bs(death_year_centered)3	7.763	0.121 – 685.753	0.349	0.341	0.011 – 11.982	0.532
APOE adjusted no: +APOE e 4	1.035	0.503 – 2.045	0.923	2.360	1.264 – 4.353	0.006
Cohort: Expansion	1.362	0.524 – 3.346	0.510	1.382	0.677 – 2.739	0.362
Cohort: Replacement	0.534	0.124 – 2.019	0.374	0.645	0.226 – 1.634	0.380
education_cat_adjusted13-16	1.459	0.677 – 3.256	0.342	1.128	0.603 – 2.121	0.707
education_cat_adjusted17+	1.624	0.632 – 4.164	0.310	0.740	0.311 – 1.678	0.482
Ever Smoker: Yes	0.920	0.467 – 1.833	0.809	0.757	0.423 – 1.350	0.345
Observations	422			393
R² Tjur	0.037			0.084

Lewy Body Disease

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.002	0.000 – 0.764	0.045	0.006	0.000 – 0.177	0.006
PM 2.5 Exposure from Death(10 year,IQR)	1.033	0.897 – 1.188	0.653
splines::bs(age_death_yrs_centered)1	238.431	0.463 – 284173.255	0.105	247.182	0.484 – 291439.500	0.102
splines::bs(age_death_yrs_centered)2	1.996	0.174 – 24.890	0.582	1.960	0.171 – 24.400	0.592
splines::bs(age_death_yrs_centered)3	24.280	0.166 – 5149.473	0.220	24.848	0.171 – 5237.598	0.216
Gender: Male	1.276	0.871 – 1.867	0.210	1.281	0.874 – 1.874	0.203
race_cat_simp_adjustedWhite	4.197	1.841 – 11.419	0.002	4.200	1.842 – 11.424	0.002
nses z cx adjusted	1.245	0.949 – 1.632	0.112	1.256	0.961 – 1.642	0.095
splines::bs(death_year_centered)1	0.284	0.002 – 44.698	0.620	0.170	0.002 – 17.614	0.441
splines::bs(death_year_centered)2	0.628	0.041 – 9.726	0.738	0.382	0.075 – 2.104	0.254
splines::bs(death_year_centered)3	5.306	0.112 – 266.288	0.399	2.750	0.237 – 38.180	0.433
APOE adjusted no: +APOE e 4	1.638	1.097 – 2.431	0.015	1.644	1.101 – 2.439	0.014
Cohort: Expansion	1.219	0.743 – 1.971	0.424	1.208	0.733 – 1.962	0.451
Cohort: Replacement	0.975	0.527 – 1.776	0.934	0.976	0.527 – 1.780	0.937
education_cat_adjusted13-16	1.301	0.854 – 1.995	0.223	1.292	0.846 – 1.984	0.238
education_cat_adjusted17+	1.042	0.608 – 1.768	0.880	1.029	0.599 – 1.750	0.917
Ever Smoker: Yes	0.650	0.445 – 0.946	0.024	0.648	0.444 – 0.944	0.024
NO 2 Exposure from Death(10 year,IQR)				1.012	0.910 – 1.119	0.821
Observations	837			837
R² Tjur	0.078			0.078

Stratified, PM2.5

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.000	0.000 – 0.021	0.019	0.049	0.000 – 157.148	0.473
PM 2.5 Exposure from Death(10 year,IQR)	1.056	0.866 – 1.283	0.586	0.960	0.780 – 1.185	0.703
splines::bs(age_death_yrs_centered)1	206041967.156	31.825 – 163023557614116064.000	0.039	0.104	0.001 – 5.882	0.301
splines::bs(age_death_yrs_centered)2	39829.366	24.146 – 2017572770.536	0.023	482.082	0.498 – 7804890.746	0.164
splines::bs(age_death_yrs_centered)3	247236.754	13.155 – 181464121102.330	0.038	0.000	0.000 – 0.738	0.168
Gender: Male	1.186	0.678 – 2.074	0.549	1.309	0.766 – 2.231	0.322
race_cat_simp_adjustedWhite	4.162	1.421 – 15.920	0.018	3.769	1.037 – 23.128	0.080
nses z cx adjusted	1.269	0.837 – 1.925	0.261	1.184	0.820 – 1.699	0.361
splines::bs(death_year_centered)1	0.051	0.000 – 54.937	0.397	7.295	0.003 – 151567.408	0.656
splines::bs(death_year_centered)2	0.719	0.018 – 27.197	0.859	0.568	0.009 – 61.943	0.800
splines::bs(death_year_centered)3	2.544	0.010 – 642.956	0.740	13.672	0.047 – 9938.344	0.397
APOE adjusted no: +APOE e 4	2.057	1.175 – 3.599	0.011	1.314	0.694 – 2.422	0.389
Cohort: Expansion	1.149	0.515 – 2.468	0.726	1.422	0.746 – 2.657	0.276
Cohort: Replacement	1.285	0.476 – 3.402	0.616	0.691	0.274 – 1.612	0.410
education_cat_adjusted13-16	1.054	0.564 – 1.985	0.871	1.672	0.931 – 3.048	0.088
education_cat_adjusted17+	0.955	0.442 – 2.032	0.906	0.966	0.437 – 2.074	0.930
Ever Smoker: Yes	0.640	0.365 – 1.117	0.116	0.698	0.409 – 1.184	0.183
Observations	432			405
R² Tjur	0.096			0.096

Stratified, NO2

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.000	0.000 – 0.013	0.017	0.010	0.000 – 0.754	0.070
NO 2 Exposure from Death(10 year,IQR)	1.021	0.868 – 1.185	0.795	1.027	0.883 – 1.184	0.715
splines::bs(age_death_yrs_centered)1	243213284.000	37.861 – 205091421695235232.000	0.038	0.113	0.001 – 6.270	0.316
splines::bs(age_death_yrs_centered)2	45423.558	27.318 – 2411981707.975	0.022	407.867	0.442 – 6172570.694	0.172
splines::bs(age_death_yrs_centered)3	272582.235	14.436 – 210523622439.938	0.037	0.000	0.000 – 0.797	0.170
Gender: Male	1.190	0.680 – 2.085	0.542	1.330	0.774 – 2.279	0.299
race_cat_simp_adjustedWhite	4.169	1.431 – 15.876	0.018	3.947	1.087 – 24.227	0.070
nses z cx adjusted	1.295	0.863 – 1.950	0.212	1.150	0.800 – 1.649	0.447
splines::bs(death_year_centered)1	0.019	0.000 – 9.374	0.200	11.892	0.008 – 216453.807	0.566
splines::bs(death_year_centered)2	0.316	0.037 – 2.787	0.292	1.025	0.056 – 53.731	0.988
splines::bs(death_year_centered)3	0.774	0.025 – 27.554	0.885	31.465	0.505 – 10856.201	0.168
APOE adjusted no: +APOE e 4	2.078	1.188 – 3.631	0.010	1.320	0.696 – 2.434	0.383
Cohort: Expansion	1.132	0.505 – 2.444	0.757	1.403	0.734 – 2.633	0.297
Cohort: Replacement	1.289	0.478 – 3.413	0.611	0.669	0.265 – 1.559	0.370
education_cat_adjusted13-16	1.044	0.557 – 1.972	0.893	1.669	0.929 – 3.045	0.090
education_cat_adjusted17+	0.942	0.434 – 2.010	0.877	0.956	0.430 – 2.066	0.909
Ever Smoker: Yes	0.642	0.366 – 1.121	0.119	0.706	0.415 – 1.195	0.195
Observations	432			405
R² Tjur	0.096			0.097

LATE stage

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.079	0.000 – 10.457	0.317	0.016	0.001 – 0.283	0.009
PM 2.5 Exposure from Death(10 year,IQR)	0.965	0.860 – 1.081	0.539
splines::bs(age_death_yrs_centered)1	14.872	0.064 – 7913.821	0.363	13.929	0.061 – 7375.972	0.374
splines::bs(age_death_yrs_centered)2	47.353	5.741 – 394.312	<0.001	46.651	5.657 – 388.828	<0.001
splines::bs(age_death_yrs_centered)3	40.504	0.563 – 5235.309	0.109	36.508	0.511 – 4686.629	0.118
Gender: Male	1.130	0.829 – 1.540	0.440	1.130	0.830 – 1.541	0.438
race_cat_simp_adjustedWhite	1.258	0.744 – 2.155	0.395	1.275	0.752 – 2.188	0.370
nses z cx adjusted	0.924	0.740 – 1.151	0.481	0.885	0.711 – 1.100	0.273
splines::bs(death_year_centered)1	0.545	0.008 – 36.217	0.775	0.895	0.021 – 40.358	0.954
splines::bs(death_year_centered)2	0.510	0.057 – 4.499	0.544	0.887	0.230 – 3.468	0.862
splines::bs(death_year_centered)3	0.794	0.031 – 20.712	0.890	1.907	0.218 – 17.322	0.562
APOE adjusted no: +APOE e 4	1.606	1.151 – 2.245	0.005	1.602	1.149 – 2.240	0.006
Cohort: Expansion	0.934	0.622 – 1.399	0.740	0.900	0.596 – 1.355	0.614
Cohort: Replacement	0.816	0.485 – 1.366	0.440	0.791	0.470 – 1.326	0.376
education_cat_adjusted13-16	1.187	0.848 – 1.662	0.318	1.167	0.833 – 1.637	0.369
education_cat_adjusted17+	1.130	0.734 – 1.739	0.578	1.106	0.717 – 1.705	0.649
Ever Smoker: Yes	0.988	0.728 – 1.341	0.936	0.980	0.722 – 1.331	0.895
NO 2 Exposure from Death(10 year,IQR)				1.054	0.968 – 1.151	0.229
Observations	816			816
R² Tjur	0.078			0.079

Stratified, PM2.5

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.050	0.000 – 63.732	0.429	1.714	0.004 – 783.949	0.862
PM 2.5 Exposure from Death(10 year,IQR)	0.969	0.820 – 1.142	0.704	0.954	0.809 – 1.123	0.572
splines::bs(age_death_yrs_centered)1	31.477	0.012 – 627289.875	0.438	0.330	0.024 – 4.392	0.402
splines::bs(age_death_yrs_centered)2	6.419	0.208 – 709.518	0.354	32.594	0.886 – 1426.227	0.059
splines::bs(age_death_yrs_centered)3	70.068	0.702 – 32695.997	0.112	0.069	0.000 – 16.862	0.327
Gender: Male	1.208	0.767 – 1.909	0.416	1.100	0.718 – 1.691	0.662
race_cat_simp_adjustedWhite	1.186	0.568 – 2.543	0.653	1.358	0.617 – 3.024	0.446
nses z cx adjusted	0.880	0.628 – 1.228	0.453	0.911	0.678 – 1.223	0.536
splines::bs(death_year_centered)1	0.196	0.000 – 81.570	0.595	2.512	0.012 – 690.236	0.739
splines::bs(death_year_centered)2	0.415	0.019 – 8.732	0.572	0.581	0.028 – 12.060	0.725
splines::bs(death_year_centered)3	0.767	0.006 – 91.364	0.913	1.471	0.022 – 103.739	0.857
APOE adjusted no: +APOE e 4	1.812	1.134 – 2.898	0.013	1.180	0.718 – 1.953	0.516
Cohort: Expansion	0.833	0.434 – 1.576	0.577	1.001	0.590 – 1.706	0.996
Cohort: Replacement	0.582	0.243 – 1.357	0.216	1.019	0.512 – 2.049	0.958
education_cat_adjusted13-16	1.394	0.840 – 2.329	0.201	0.947	0.600 – 1.492	0.815
education_cat_adjusted17+	1.538	0.811 – 2.931	0.188	0.769	0.429 – 1.375	0.375
Ever Smoker: Yes	1.082	0.684 – 1.721	0.737	0.877	0.576 – 1.333	0.539
Observations	416			400
R² Tjur	0.104			0.029

Stratified, NO2

	< 90			90+
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.013	0.000 – 1.099	0.093	0.281	0.014 – 4.926	0.389
NO 2 Exposure from Death(10 year,IQR)	1.063	0.934 – 1.213	0.357	1.021	0.908 – 1.150	0.728
splines::bs(age_death_yrs_centered)1	24.227	0.010 – 435239.868	0.466	0.350	0.026 – 4.658	0.427
splines::bs(age_death_yrs_centered)2	6.141	0.208 – 651.486	0.359	29.718	0.799 – 1307.222	0.066
splines::bs(age_death_yrs_centered)3	59.329	0.640 – 26032.563	0.121	0.075	0.000 – 18.361	0.341
Gender: Male	1.185	0.751 – 1.874	0.466	1.108	0.722 – 1.706	0.639
race_cat_simp_adjustedWhite	1.162	0.558 – 2.485	0.692	1.424	0.651 – 3.155	0.376
nses z cx adjusted	0.843	0.605 – 1.168	0.306	0.882	0.657 – 1.182	0.402
splines::bs(death_year_centered)1	0.294	0.002 – 60.096	0.650	4.681	0.032 – 937.564	0.548
splines::bs(death_year_centered)2	0.656	0.104 – 4.153	0.653	1.180	0.170 – 8.673	0.868
splines::bs(death_year_centered)3	1.620	0.071 – 38.674	0.763	3.916	0.223 – 83.455	0.356
APOE adjusted no: +APOE e 4	1.806	1.132 – 2.887	0.013	1.187	0.722 – 1.966	0.501
Cohort: Expansion	0.798	0.411 – 1.521	0.497	0.989	0.579 – 1.692	0.967
Cohort: Replacement	0.574	0.239 – 1.341	0.206	0.992	0.498 – 1.996	0.983
education_cat_adjusted13-16	1.368	0.822 – 2.291	0.230	0.942	0.596 – 1.487	0.799
education_cat_adjusted17+	1.507	0.793 – 2.877	0.211	0.764	0.424 – 1.373	0.368
Ever Smoker: Yes	1.064	0.672 – 1.694	0.791	0.884	0.582 – 1.343	0.564
Observations	416			400
R² Tjur	0.105			0.028

Aim 2: Modifying effect of sex and smoking

Outcome = Hippocampal sclerosis

Modifier = Sex

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.199	0.000 – 104.949	0.616	0.192	0.013 – 2.457	0.216
PM 2.5 Exposure from Death(10 year,IQR)	0.998	0.842 – 1.183	0.983
Gender: Male	0.819	0.116 – 5.679	0.840	0.956	0.185 – 4.963	0.957
Age at Death(centered)	1.056	1.019 – 1.096	0.003	1.055	1.018 – 1.095	0.004
race_cat_simp_adjustedWhite	0.871	0.428 – 1.952	0.719	0.893	0.435 – 2.015	0.770
nses z cx adjusted	0.895	0.650 – 1.225	0.495	0.882	0.644 – 1.201	0.429
splines::bs(death_year_centered)1	1.182	0.005 – 347.302	0.953	0.861	0.008 – 126.116	0.952
splines::bs(death_year_centered)2	0.066	0.003 – 1.494	0.088	0.056	0.009 – 0.357	0.002
splines::bs(death_year_centered)3	2.695	0.031 – 252.892	0.666	2.267	0.154 – 40.019	0.562
APOE adjusted no: +APOE e 4	1.466	0.924 – 2.296	0.098	1.476	0.931 – 2.311	0.092
Cohort: Expansion	1.514	0.867 – 2.593	0.137	1.474	0.838 – 2.544	0.169
Cohort: Replacement	0.762	0.345 – 1.589	0.482	0.751	0.340 – 1.567	0.459
education_cat_adjusted13-16	1.299	0.804 – 2.119	0.288	1.271	0.785 – 2.076	0.332
education_cat_adjusted17+	1.113	0.596 – 2.043	0.733	1.067	0.571 – 1.960	0.837
Ever Smoker: Yes	0.839	0.543 – 1.299	0.430	0.846	0.548 – 1.307	0.449
exp_avgdeath_10_yr_ST_pm25_iqr:male_catMale	1.028	0.933 – 1.134	0.578
NO 2 Exposure from Death(10 year,IQR)				1.024	0.873 – 1.184	0.762
exp_avgdeath_10_yr_ST_no2_iqr:male_catMale				1.054	0.849 – 1.305	0.630
Observations	815			815
R² Tjur	0.052			0.052

Modifier = Smoking

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.191	0.000 – 106.978	0.610	0.229	0.014 – 3.220	0.284
PM 2.5 Exposure from Death(10 year,IQR)	1.000	0.841 – 1.189	0.998
Ever Smoker: Yes	0.563	0.079 – 3.878	0.561	0.482	0.092 – 2.463	0.382
Age at Death(centered)	1.057	1.019 – 1.096	0.003	1.056	1.018 – 1.095	0.004
Gender: Male	1.387	0.895 – 2.147	0.142	1.407	0.910 – 2.174	0.124
race_cat_simp_adjustedWhite	0.858	0.422 – 1.919	0.690	0.864	0.424 – 1.933	0.702
nses z cx adjusted	0.896	0.650 – 1.226	0.496	0.889	0.650 – 1.209	0.456
splines::bs(death_year_centered)1	1.213	0.005 – 362.154	0.946	0.877	0.008 – 128.499	0.957
splines::bs(death_year_centered)2	0.066	0.003 – 1.507	0.089	0.055	0.009 – 0.353	0.002
splines::bs(death_year_centered)3	2.799	0.032 – 265.634	0.655	2.306	0.156 – 40.812	0.554
APOE adjusted no: +APOE e 4	1.473	0.928 – 2.306	0.095	1.460	0.920 – 2.286	0.102
Cohort: Expansion	1.525	0.874 – 2.612	0.129	1.473	0.837 – 2.543	0.170
Cohort: Replacement	0.761	0.345 – 1.589	0.480	0.746	0.338 – 1.557	0.449
education_cat_adjusted13-16	1.282	0.794 – 2.088	0.313	1.254	0.775 – 2.048	0.359
education_cat_adjusted17+	1.088	0.584 – 1.990	0.787	1.070	0.573 – 1.964	0.830
exp_avgdeath_10_yr_ST_pm25_iqr:smoke_bi_adjustedYes	1.022	0.927 – 1.130	0.669
NO 2 Exposure from Death(10 year,IQR)				1.005	0.840 – 1.179	0.955
exp_avgdeath_10_yr_ST_no2_iqr:smoke_bi_adjustedYes				1.079	0.872 – 1.343	0.485
Observations	815			815
R² Tjur	0.052			0.053

Modifier = APOE

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.104	0.000 – 54.243	0.481	0.229	0.014 – 3.220	0.284
PM 2.5 Exposure from Death(10 year,IQR)	1.029	0.874 – 1.212	0.732
APOE adjusted no: +APOE e 4	4.484	0.544 – 40.090	0.169	1.460	0.920 – 2.286	0.102
Ever Smoker: Yes	0.850	0.551 – 1.313	0.462	0.482	0.092 – 2.463	0.382
Age at Death(centered)	1.056	1.019 – 1.096	0.003	1.056	1.018 – 1.095	0.004
Gender: Male	1.410	0.912 – 2.179	0.121	1.407	0.910 – 2.174	0.124
race_cat_simp_adjustedWhite	0.872	0.429 – 1.953	0.721	0.864	0.424 – 1.933	0.702
nses z cx adjusted	0.902	0.654 – 1.236	0.526	0.889	0.650 – 1.209	0.456
splines::bs(death_year_centered)1	1.347	0.006 – 394.516	0.916	0.877	0.008 – 128.499	0.957
splines::bs(death_year_centered)2	0.066	0.003 – 1.508	0.089	0.055	0.009 – 0.353	0.002
splines::bs(death_year_centered)3	2.986	0.034 – 285.203	0.635	2.306	0.156 – 40.812	0.554
Cohort: Expansion	1.509	0.863 – 2.587	0.140	1.473	0.837 – 2.543	0.170
Cohort: Replacement	0.746	0.337 – 1.562	0.451	0.746	0.338 – 1.557	0.449
education_cat_adjusted13-16	1.288	0.798 – 2.098	0.303	1.254	0.775 – 2.048	0.359
education_cat_adjusted17+	1.101	0.591 – 2.016	0.758	1.070	0.573 – 1.964	0.830
exp_avgdeath_10_yr_ST_pm25_iqr:APOE_adjusted_no+ APOE e4	0.944	0.843 – 1.049	0.299
NO 2 Exposure from Death(10 year,IQR)				1.005	0.840 – 1.179	0.955
exp_avgdeath_10_yr_ST_no2_iqr:smoke_bi_adjustedYes				1.079	0.872 – 1.343	0.485
Observations	815			815
R² Tjur	0.053			0.053

Outcome = Lewy Body Disease category

Modifier = Sex

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.028	0.000 – 6.043	0.194	0.068	0.005 – 0.778	0.036
PM 2.5 Exposure from Death(10 year,IQR)	1.007	0.869 – 1.166	0.930
Gender: Male	0.507	0.089 – 2.815	0.440	0.760	0.181 – 3.195	0.706
Age at Death(centered)	0.999	0.968 – 1.031	0.951	1.000	0.968 – 1.032	0.980
race_cat_simp_adjustedWhite	4.157	1.823 – 11.312	0.002	4.166	1.822 – 11.356	0.002
nses z cx adjusted	1.236	0.943 – 1.620	0.124	1.250	0.956 – 1.635	0.102
splines::bs(death_year_centered)1	0.796	0.006 – 117.800	0.927	0.370	0.005 – 35.476	0.659
splines::bs(death_year_centered)2	0.807	0.054 – 12.442	0.877	0.472	0.094 – 2.589	0.372
splines::bs(death_year_centered)3	8.723	0.194 – 420.497	0.268	4.116	0.365 – 55.869	0.268
APOE adjusted no: +APOE e 4	1.676	1.125 – 2.483	0.010	1.694	1.137 – 2.509	0.009
Cohort: Expansion	1.240	0.758 – 2.002	0.384	1.252	0.762 – 2.031	0.367
Cohort: Replacement	0.967	0.525 – 1.755	0.914	0.963	0.522 – 1.750	0.904
education_cat_adjusted13-16	1.305	0.856 – 2.002	0.219	1.290	0.846 – 1.979	0.240
education_cat_adjusted17+	1.050	0.612 – 1.782	0.859	1.012	0.590 – 1.718	0.966
Ever Smoker: Yes	0.621	0.425 – 0.905	0.013	0.630	0.432 – 0.917	0.016
exp_avgdeath_10_yr_ST_pm25_iqr:male_catMale	1.051	0.962 – 1.150	0.277
NO 2 Exposure from Death(10 year,IQR)				0.979	0.851 – 1.115	0.755
exp_avgdeath_10_yr_ST_no2_iqr:male_catMale				1.077	0.888 – 1.303	0.448
Observations	837			837
R² Tjur	0.078			0.078

Modifier = Smoking

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.015	0.000 – 3.442	0.132	0.029	0.002 – 0.348	0.007
PM 2.5 Exposure from Death(10 year,IQR)	1.046	0.901 – 1.213	0.555
Ever Smoker: Yes	0.869	0.157 – 4.738	0.871	2.297	0.547 – 9.961	0.260
Age at Death(centered)	0.998	0.967 – 1.030	0.899	0.996	0.965 – 1.028	0.801
Gender: Male	1.298	0.886 – 1.899	0.180	1.299	0.888 – 1.901	0.177
race_cat_simp_adjustedWhite	4.020	1.770 – 10.902	0.002	4.067	1.786 – 11.040	0.002
nses z cx adjusted	1.245	0.949 – 1.631	0.112	1.244	0.950 – 1.629	0.112
splines::bs(death_year_centered)1	0.604	0.005 – 87.295	0.839	0.367	0.005 – 35.928	0.658
splines::bs(death_year_centered)2	0.804	0.054 – 12.247	0.874	0.472	0.093 – 2.605	0.374
splines::bs(death_year_centered)3	8.334	0.187 – 397.636	0.277	4.113	0.360 – 56.579	0.271
APOE adjusted no: +APOE e 4	1.682	1.129 – 2.491	0.010	1.737	1.164 – 2.577	0.006
Cohort: Expansion	1.255	0.767 – 2.023	0.358	1.240	0.753 – 2.013	0.391
Cohort: Replacement	0.951	0.516 – 1.725	0.870	0.955	0.517 – 1.735	0.881
education_cat_adjusted13-16	1.299	0.852 – 1.990	0.226	1.309	0.858 – 2.010	0.214
education_cat_adjusted17+	1.026	0.600 – 1.738	0.925	0.994	0.578 – 1.691	0.982
exp_avgdeath_10_yr_ST_pm25_iqr:smoke_bi_adjustedYes	0.983	0.900 – 1.075	0.704
NO 2 Exposure from Death(10 year,IQR)				1.101	0.959 – 1.256	0.161
exp_avgdeath_10_yr_ST_no2_iqr:smoke_bi_adjustedYes				0.835	0.685 – 1.013	0.071
Observations	837			837
R² Tjur	0.077			0.079

Modifier = APOE

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	0.037	0.000 – 8.507	0.237	0.042	0.003 – 0.483	0.014
PM 2.5 Exposure from Death(10 year,IQR)	0.992	0.859 – 1.145	0.914
APOE adjusted no: +APOE e 4	0.124	0.019 – 0.782	0.028	3.451	0.737 – 17.962	0.126
Ever Smoker: Yes	0.628	0.430 – 0.915	0.016	0.638	0.437 – 0.929	0.019
Age at Death(centered)	0.998	0.967 – 1.030	0.888	0.998	0.967 – 1.030	0.922
Gender: Male	1.274	0.869 – 1.866	0.213	1.291	0.883 – 1.888	0.187
race_cat_simp_adjustedWhite	3.922	1.722 – 10.662	0.003	4.081	1.792 – 11.093	0.002
nses z cx adjusted	1.224	0.934 – 1.602	0.141	1.255	0.961 – 1.640	0.096
splines::bs(death_year_centered)1	0.604	0.004 – 103.504	0.844	0.427	0.006 – 41.285	0.706
splines::bs(death_year_centered)2	1.053	0.067 – 16.996	0.971	0.456	0.090 – 2.510	0.352
splines::bs(death_year_centered)3	8.321	0.175 – 424.249	0.286	4.494	0.396 – 61.494	0.241
Cohort: Expansion	1.301	0.796 – 2.097	0.287	1.249	0.759 – 2.026	0.373
Cohort: Replacement	0.981	0.534 – 1.774	0.950	0.949	0.514 – 1.724	0.864
education_cat_adjusted13-16	1.294	0.848 – 1.990	0.235	1.294	0.848 – 1.986	0.234
education_cat_adjusted17+	1.007	0.588 – 1.709	0.978	1.009	0.588 – 1.714	0.973
exp_avgdeath_10_yr_ST_pm25_iqr:APOE_adjusted_no+ APOE e4	1.145	1.043 – 1.261	0.005
NO 2 Exposure from Death(10 year,IQR)				1.042	0.921 – 1.171	0.501
exp_avgdeath_10_yr_ST_no2_iqr:APOE_adjusted_no+ APOE e4				0.906	0.723 – 1.112	0.364
Observations	837			837
R² Tjur	0.082			0.078

Outcome = LATE stage

Modifier = Sex

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	1.209	0.014 – 102.343	0.933	0.296	0.038 – 2.197	0.238
PM 2.5 Exposure from Death(10 year,IQR)	0.976	0.865 – 1.099	0.685
Gender: Male	1.827	0.411 – 8.262	0.430	0.981	0.286 – 3.354	0.976
Age at Death(centered)	1.089	1.061 – 1.118	<0.001	1.088	1.060 – 1.117	<0.001
race_cat_simp_adjustedWhite	1.221	0.720 – 2.094	0.462	1.263	0.742 – 2.178	0.393
nses z cx adjusted	0.927	0.743 – 1.156	0.501	0.886	0.712 – 1.101	0.275
splines::bs(death_year_centered)1	0.674	0.011 – 41.595	0.850	1.124	0.029 – 46.939	0.951
splines::bs(death_year_centered)2	0.591	0.068 – 5.135	0.633	1.033	0.274 – 3.972	0.962
splines::bs(death_year_centered)3	0.937	0.037 – 23.558	0.968	2.215	0.266 – 19.395	0.466
APOE adjusted no: +APOE e 4	1.635	1.173 – 2.283	0.004	1.628	1.168 – 2.272	0.004
Cohort: Expansion	0.931	0.620 – 1.394	0.727	0.893	0.591 – 1.343	0.587
Cohort: Replacement	0.774	0.462 – 1.291	0.328	0.755	0.450 – 1.260	0.284
education_cat_adjusted13-16	1.172	0.837 – 1.642	0.356	1.161	0.828 – 1.628	0.388
education_cat_adjusted17+	1.105	0.718 – 1.700	0.649	1.093	0.710 – 1.684	0.686
Ever Smoker: Yes	0.993	0.732 – 1.348	0.962	0.978	0.721 – 1.327	0.884
exp_avgdeath_10_yr_ST_pm25_iqr:male_catMale	0.976	0.905 – 1.052	0.532
NO 2 Exposure from Death(10 year,IQR)				1.045	0.936 – 1.167	0.434
exp_avgdeath_10_yr_ST_no2_iqr:male_catMale				1.021	0.868 – 1.202	0.799
Observations	816			816
R² Tjur	0.080			0.081

Modifier = Smoking

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	1.313	0.015 – 116.925	0.905	0.194	0.023 – 1.537	0.124
PM 2.5 Exposure from Death(10 year,IQR)	0.971	0.858 – 1.097	0.636
Ever Smoker: Yes	1.216	0.276 – 5.349	0.796	1.883	0.556 – 6.487	0.312
Age at Death(centered)	1.088	1.060 – 1.118	<0.001	1.086	1.058 – 1.116	<0.001
Gender: Male	1.148	0.843 – 1.565	0.381	1.149	0.844 – 1.565	0.378
race_cat_simp_adjustedWhite	1.235	0.730 – 2.115	0.435	1.246	0.734 – 2.141	0.419
nses z cx adjusted	0.926	0.742 – 1.154	0.493	0.884	0.710 – 1.098	0.266
splines::bs(death_year_centered)1	0.687	0.012 – 42.370	0.857	1.089	0.028 – 45.710	0.964
splines::bs(death_year_centered)2	0.588	0.067 – 5.097	0.630	1.017	0.270 – 3.915	0.980
splines::bs(death_year_centered)3	0.930	0.037 – 23.348	0.965	2.180	0.261 – 19.116	0.475
APOE adjusted no: +APOE e 4	1.629	1.169 – 2.273	0.004	1.648	1.181 – 2.302	0.003
Cohort: Expansion	0.926	0.617 – 1.386	0.708	0.887	0.588 – 1.336	0.568
Cohort: Replacement	0.775	0.463 – 1.293	0.331	0.756	0.450 – 1.262	0.286
education_cat_adjusted13-16	1.180	0.843 – 1.653	0.336	1.168	0.833 – 1.639	0.369
education_cat_adjusted17+	1.117	0.726 – 1.717	0.614	1.086	0.704 – 1.673	0.709
exp_avgdeath_10_yr_ST_pm25_iqr:smoke_bi_adjustedYes	0.989	0.917 – 1.067	0.776
NO 2 Exposure from Death(10 year,IQR)				1.111	0.978 – 1.268	0.112
exp_avgdeath_10_yr_ST_no2_iqr:smoke_bi_adjustedYes				0.914	0.775 – 1.074	0.279
Observations	816			816
R² Tjur	0.080			0.083

Modifier = APOE

	PM 2.5			NO2
Predictors	Odds Ratios	CI	p	Odds Ratios	CI	p
(Intercept)	1.151	0.014 – 94.135	0.950	0.159	0.020 – 1.202	0.078
PM 2.5 Exposure from Death(10 year,IQR)	0.976	0.869 – 1.095	0.675
APOE adjusted no: +APOE e 4	4.063	0.760 – 22.831	0.105	7.152	1.877 – 28.794	0.005
Ever Smoker: Yes	0.985	0.727 – 1.337	0.922	1.000	0.736 – 1.360	0.999
Age at Death(centered)	1.089	1.061 – 1.119	<0.001	1.088	1.060 – 1.117	<0.001
Gender: Male	1.151	0.846 – 1.569	0.371	1.142	0.838 – 1.556	0.401
race_cat_simp_adjustedWhite	1.253	0.739 – 2.149	0.407	1.287	0.758 – 2.212	0.354
nses z cx adjusted	0.930	0.745 – 1.159	0.516	0.890	0.715 – 1.106	0.293
splines::bs(death_year_centered)1	0.747	0.013 – 45.898	0.889	1.414	0.036 – 59.980	0.854
splines::bs(death_year_centered)2	0.575	0.066 – 4.972	0.615	1.003	0.265 – 3.875	0.996
splines::bs(death_year_centered)3	0.962	0.039 – 24.115	0.981	2.583	0.308 – 22.829	0.386
Cohort: Expansion	0.921	0.613 – 1.379	0.689	0.902	0.597 – 1.359	0.621
Cohort: Replacement	0.776	0.463 – 1.295	0.333	0.741	0.440 – 1.241	0.256
education_cat_adjusted13-16	1.179	0.843 – 1.652	0.337	1.178	0.840 – 1.654	0.344
education_cat_adjusted17+	1.118	0.727 – 1.719	0.612	1.084	0.703 – 1.671	0.715
exp_avgdeath_10_yr_ST_pm25_iqr:APOE_adjusted_no+ APOE e4	0.954	0.875 – 1.038	0.282
NO 2 Exposure from Death(10 year,IQR)				1.118	1.011 – 1.239	0.031
exp_avgdeath_10_yr_ST_no2_iqr:APOE_adjusted_no+ APOE e4				0.818	0.680 – 0.975	0.028
Observations	816			816
R² Tjur	0.081			0.085

Summarizing All Results

Tables to Summarize Aim 1

Model 2

	Overall		< 90		90+
Outcome	pm25 Effect Estimate	95% CI	pm25 Effect Estimate	95% CI	pm25 Effect Estimate	95% CI
HS	1.012	0.862, 1.189	1.066	0.839, 1.354	0.975	0.776, 1.225
LBD	1.033	0.898, 1.188	1.056	0.869, 1.283	0.960	0.78, 1.182
LATE	0.965	0.861, 1.082	0.969	0.822, 1.142	0.954	0.81, 1.123

Model 3

	Overall		< 90		90+
Outcome	pm25 Effect Estimate	95% CI	pm25 Effect Estimate	95% CI	pm25 Effect Estimate	95% CI
HS	1.014	0.86, 1.194	1.087	0.849, 1.392	0.953	0.758, 1.198
LBD	1.023	0.888, 1.18	1.015	0.827, 1.245	0.947	0.766, 1.172
LATE	0.942	0.838, 1.06	0.908	0.764, 1.079	0.973	0.822, 1.151

Model 2

	Overall		< 90		90+
Outcome	NO2 Effect Estimate	95% CI	NO2 Effect Estimate	95% CI	NO2 Effect Estimate	95% CI
HS	1.048	0.934, 1.176	1.018	0.841, 1.231	1.065	0.916, 1.239
LBD	1.012	0.913, 1.121	1.021	0.875, 1.191	1.027	0.888, 1.188
LATE	1.054	0.967, 1.149	1.063	0.933, 1.211	1.021	0.908, 1.148

Model 3

	Overall		< 90		90+
Outcome	NO2 Effect Estimate	95% CI	NO2 Effect Estimate	95% CI	NO2 Effect Estimate	95% CI
HS	1.050	0.934, 1.179	1.032	0.854, 1.247	1.091	0.934, 1.275
LBD	1.005	0.905, 1.117	1.006	0.852, 1.188	1.015	0.875, 1.177
LATE	1.038	0.95, 1.134	1.029	0.897, 1.18	0.998	0.885, 1.127

Tables to Summarize Aim 2

PM2.5

	Modifier = No		Modifier = Yes
Modifier	PM2.5 Effect Estimate	95% CI	PM2.5 Effect Estimate	95% CI	Ratio	95% CI
HS
Sex	0.998	0.842, 1.183	0.987	0.744, 1.309	1.028	0.933, 1.133
Smoking	1.000	0.841, 1.189	0.998	0.752, 1.325	1.022	0.926, 1.128
APOE	1.029	0.874, 1.212	1.023	0.791, 1.323	0.944	0.847, 1.052
LBD
Sex	1.007	0.869, 1.166	1.069	0.87, 1.312	1.051	0.961, 1.148
Smoking	1.046	0.902, 1.213	1.060	0.865, 1.3	0.983	0.9, 1.074
APOE	0.992	0.86, 1.145	1.186	0.964, 1.46	1.145	1.042, 1.259
LATE
Sex	0.976	0.866, 1.099	0.879	0.727, 1.062	0.976	0.905, 1.053
Smoking	0.971	0.859, 1.098	0.920	0.768, 1.103	0.989	0.917, 1.066
APOE	0.976	0.869, 1.095	0.919	0.766, 1.102	0.954	0.876, 1.039

NO2

	Modifier = No		Modifier = Yes
Modifier	PM2.5 Effect Estimate	95% CI	PM2.5 Effect Estimate	95% CI	Ratio	95% CI
HS
Sex	1.024	0.88, 1.191	1.130	0.888, 1.438	1.054	0.851, 1.304
Smoking	1.005	0.85, 1.188	1.184	0.947, 1.479	1.079	0.871, 1.337
APOE	1.005	0.85, 1.188	1.219	0.953, 1.559	1.079	0.871, 1.337
LBD
Sex	0.979	0.856, 1.12	1.071	0.873, 1.313	1.077	0.89, 1.302
Smoking	1.101	0.963, 1.258	0.952	0.769, 1.178	0.835	0.687, 1.015
APOE	1.042	0.924, 1.174	0.989	0.785, 1.246	0.906	0.732, 1.121
LATE
Sex	1.045	0.936, 1.166	0.956	0.788, 1.161	1.021	0.869, 1.201
Smoking	1.111	0.976, 1.264	0.957	0.81, 1.131	0.914	0.777, 1.076
APOE	1.118	1.01, 1.237	0.840	0.666, 1.059	0.818	0.684, 0.978

Bootstrapped Results

Aims 1 and 2

Unstratified Results: PM2.5

Model	PM2.5 Effect Estimate	CI
LBD
Model 1	0.907	0.853, 0.965
Model 2	1.032	0.9, 1.227
Model 3	1.023	0.892, 1.22

Unstratified Results: NO2

Model	NO2 Effect Estimate	CI
LBD
Model 1	0.931	0.837, 1.019
Model 2	1.012	0.922, 1.115
Model 3	1.005	0.917, 1.116

Results stratified by age group

PM2.5

	< 90		90+
Exposure	AP Effect Estimate	CI	AP Effect Estimate	CI
PM2.5	1.055	0.782, 1.232	0.960	0.875, 1.363
NO2	1.021	0.882, 1.183	1.028	0.905, 1.185

Effect modifier models

For all participants

	Modifier = No		Modifier = Yes
Model	PM2.5 Effect Estimate	CI	PM2.5 Effect Estimate	CI	Ratio	CI
Outcome = LBD
Male	1.006	0.868, 1.199	1.057	0.915, 1.262	1.051	0.959, 1.153
Ever smoker	1.045	0.903, 1.265	1.028	0.89, 1.226	0.983	0.884, 1.083
APOE e4+	0.992	0.865, 1.189	1.136	0.97, 1.351	1.146	1.042, 1.3

NO2

	Modifier = No		Modifier = Yes
Model	NO2 Effect Estimate	CI	NO2 Effect Estimate	CI	Ratio	CI
Outcome = LBD
Male	0.979	0.851, 1.084	1.054	0.931, 1.233	1.077	0.916, 1.311
Ever smoker	1.101	0.979, 1.269	0.920	0.789, 1.042	0.836	0.685, 0.983
APOE e4+	1.042	0.929, 1.175	0.944	0.825, 1.121	0.906	0.762, 1.099

## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

Tables for Debby on 09/06/24

	LBP- and clinical diagnosis (N=275)	LBP- and no clinical diagnosis (N=382)	LBP+ and clinical diagnosis (N=106)	LBP+ and no clinical diagnosis (N=74)	Overall (N=837)
CERAD_cat_ordered
None	38 (13.8%)	125 (32.7%)	8 (7.5%)	15 (20.3%)	186 (22.2%)
Sparse	50 (18.2%)	108 (28.3%)	17 (16.0%)	27 (36.5%)	202 (24.1%)
Moderate	74 (26.9%)	80 (20.9%)	24 (22.6%)	17 (23.0%)	195 (23.3%)
Frequent	112 (40.7%)	61 (16.0%)	50 (47.2%)	12 (16.2%)	235 (28.1%)
Missing	1 (0.4%)	8 (2.1%)	7 (6.6%)	3 (4.1%)	19 (2.3%)
Braak_cat_ordered
0	5 (1.8%)	17 (4.5%)	1 (0.9%)	1 (1.4%)	24 (2.9%)
B1	33 (12.0%)	145 (38.0%)	6 (5.7%)	17 (23.0%)	201 (24.0%)
B2	75 (27.3%)	146 (38.2%)	28 (26.4%)	38 (51.4%)	287 (34.3%)
B3	161 (58.5%)	62 (16.2%)	63 (59.4%)	14 (18.9%)	300 (35.8%)
Missing	1 (0.4%)	12 (3.1%)	8 (7.5%)	4 (5.4%)	25 (3.0%)
as.factor(lewybodydis_cat)
1	275 (100%)	381 (99.7%)	0 (0%)	0 (0%)	656 (78.4%)
1.5	0 (0%)	1 (0.3%)	0 (0%)	0 (0%)	1 (0.1%)
2	0 (0%)	0 (0%)	28 (26.4%)	11 (14.9%)	39 (4.7%)
3	0 (0%)	0 (0%)	13 (12.3%)	15 (20.3%)	28 (3.3%)
4	0 (0%)	0 (0%)	19 (17.9%)	19 (25.7%)	38 (4.5%)
5	0 (0%)	0 (0%)	1 (0.9%)	4 (5.4%)	5 (0.6%)
6	0 (0%)	0 (0%)	45 (42.5%)	25 (33.8%)	70 (8.4%)
Thal Phase
0	9 (3.3%)	28 (7.3%)	4 (3.8%)	9 (12.2%)	50 (6.0%)
1	7 (2.5%)	19 (5.0%)	4 (3.8%)	4 (5.4%)	34 (4.1%)
2	14 (5.1%)	14 (3.7%)	2 (1.9%)	7 (9.5%)	37 (4.4%)
3	30 (10.9%)	38 (9.9%)	12 (11.3%)	6 (8.1%)	86 (10.3%)
4	37 (13.5%)	37 (9.7%)	23 (21.7%)	10 (13.5%)	107 (12.8%)
5	27 (9.8%)	9 (2.4%)	23 (21.7%)	6 (8.1%)	65 (7.8%)
Missing	151 (54.9%)	237 (62.0%)	38 (35.8%)	32 (43.2%)	458 (54.7%)

	LBP- and clinical diagnosis (N=275)	LBP- and no clinical diagnosis (N=382)	LBP+ and clinical diagnosis (N=106)	LBP+ and no clinical diagnosis (N=74)	Overall (N=837)
CERAD_bi
CERAD-	89 (32.4%)	241 (63.1%)	32 (30.2%)	45 (60.8%)	407 (48.6%)
CERAD+	186 (67.6%)	141 (36.9%)	74 (69.8%)	29 (39.2%)	430 (51.4%)
NFT_bi
NFT -	68 (24.7%)	250 (65.4%)	21 (19.8%)	36 (48.6%)	375 (44.8%)
NFT +	207 (75.3%)	132 (34.6%)	85 (80.2%)	38 (51.4%)	462 (55.2%)
CERAD_and_NFT
CERAD and NFT -	107 (38.9%)	304 (79.6%)	41 (38.7%)	59 (79.7%)	511 (61.1%)
CERAD and NFT +	168 (61.1%)	78 (20.4%)	65 (61.3%)	15 (20.3%)	326 (38.9%)
Age at Death
Mean (SD)	91.1 (5.84)	87.5 (6.97)	90.2 (5.58)	88.8 (7.09)	89.2 (6.65)
Median [Min, Max]	91.2 [73.7, 106]	88.1 [68.9, 102]	91.0 [76.7, 99.8]	88.7 [74.6, 102]	89.7 [68.9, 106]
Gender
Female	165 (60.0%)	213 (55.8%)	64 (60.4%)	39 (52.7%)	481 (57.5%)
Male	110 (40.0%)	169 (44.2%)	42 (39.6%)	35 (47.3%)	356 (42.5%)
as.factor(lewybodydis_cat)
1	275 (100%)	381 (99.7%)	0 (0%)	0 (0%)	656 (78.4%)
1.5	0 (0%)	1 (0.3%)	0 (0%)	0 (0%)	1 (0.1%)
2	0 (0%)	0 (0%)	28 (26.4%)	11 (14.9%)	39 (4.7%)
3	0 (0%)	0 (0%)	13 (12.3%)	15 (20.3%)	28 (3.3%)
4	0 (0%)	0 (0%)	19 (17.9%)	19 (25.7%)	38 (4.5%)
5	0 (0%)	0 (0%)	1 (0.9%)	4 (5.4%)	5 (0.6%)
6	0 (0%)	0 (0%)	45 (42.5%)	25 (33.8%)	70 (8.4%)

cross tab for LBP- and clinical diagnosis + group

##         
##          NFT - NFT +
##   CERAD-    50    39
##   CERAD+    18   168

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  t1
## X-squared = 67.461, df = 1, p-value < 2.2e-16

cross tab for LBP- and clinical diagnosis - group

##         
##          NFT - NFT +
##   CERAD-   187    54
##   CERAD+    63    78

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  t2
## X-squared = 41.167, df = 1, p-value = 1.398e-10

cross tab for LBP+ and clinical diagnosis + group

##         
##          NFT - NFT +
##   CERAD-    12    20
##   CERAD+     9    65

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  t3
## X-squared = 7.5034, df = 1, p-value = 0.006158

cross tab for LBP+ and clinical diagnosis - group

##         
##          NFT - NFT +
##   CERAD-    22    23
##   CERAD+    14    15

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  t4
## X-squared = 0, df = 1, p-value = 1

	AD NP - and clinical diagnosis (N=148)	AD NP - and no clinical diagnosis (N=363)	AD NP + and clinical diagnosis (N=233)	AD NP + and no clinical diagnosis (N=93)	Overall (N=837)
as.factor(lewybodydis_cat)
1	107 (72.3%)	303 (83.5%)	168 (72.1%)	78 (83.9%)	656 (78.4%)
1.5	0 (0%)	1 (0.3%)	0 (0%)	0 (0%)	1 (0.1%)
2	3 (2.0%)	6 (1.7%)	25 (10.7%)	5 (5.4%)	39 (4.7%)
3	10 (6.8%)	14 (3.9%)	3 (1.3%)	1 (1.1%)	28 (3.3%)
4	8 (5.4%)	17 (4.7%)	11 (4.7%)	2 (2.2%)	38 (4.5%)
5	0 (0%)	4 (1.1%)	1 (0.4%)	0 (0%)	5 (0.6%)
6	20 (13.5%)	18 (5.0%)	25 (10.7%)	7 (7.5%)	70 (8.4%)
CERAD_cat_ordered
None	46 (31.1%)	140 (38.6%)	0 (0%)	0 (0%)	186 (22.2%)
Sparse	67 (45.3%)	135 (37.2%)	0 (0%)	0 (0%)	202 (24.1%)
Moderate	17 (11.5%)	54 (14.9%)	81 (34.8%)	43 (46.2%)	195 (23.3%)
Frequent	10 (6.8%)	23 (6.3%)	152 (65.2%)	50 (53.8%)	235 (28.1%)
Missing	8 (5.4%)	11 (3.0%)	0 (0%)	0 (0%)	19 (2.3%)
Braak_cat_ordered
0	6 (4.1%)	18 (5.0%)	0 (0%)	0 (0%)	24 (2.9%)
B1	39 (26.4%)	162 (44.6%)	0 (0%)	0 (0%)	201 (24.0%)
B2	72 (48.6%)	154 (42.4%)	31 (13.3%)	30 (32.3%)	287 (34.3%)
B3	22 (14.9%)	15 (4.1%)	202 (86.7%)	61 (65.6%)	300 (35.8%)
Missing	9 (6.1%)	14 (3.9%)	0 (0%)	2 (2.2%)	25 (3.0%)

New table on 12/05/2024

Lewy body category	No dementia (n)	Dementia (n)
2	11	28
3	15	13
4	19	19
5	4	1
6	25	45

	LBP- and clinical diagnosis (N=275)	LBP- and no clinical diagnosis (N=382)	LBP+ and clinical diagnosis (N=106)	LBP+ and no clinical diagnosis (N=74)	Overall (N=837)
CERAD_cat_ordered
None	38 (13.8%)	125 (32.7%)	8 (7.5%)	15 (20.3%)	186 (22.2%)
Sparse	50 (18.2%)	108 (28.3%)	17 (16.0%)	27 (36.5%)	202 (24.1%)
Moderate	74 (26.9%)	80 (20.9%)	24 (22.6%)	17 (23.0%)	195 (23.3%)
Frequent	112 (40.7%)	61 (16.0%)	50 (47.2%)	12 (16.2%)	235 (28.1%)
Missing	1 (0.4%)	8 (2.1%)	7 (6.6%)	3 (4.1%)	19 (2.3%)
Braak_cat_ordered
0	5 (1.8%)	17 (4.5%)	1 (0.9%)	1 (1.4%)	24 (2.9%)
B1	33 (12.0%)	145 (38.0%)	6 (5.7%)	17 (23.0%)	201 (24.0%)
B2	75 (27.3%)	146 (38.2%)	28 (26.4%)	38 (51.4%)	287 (34.3%)
B3	161 (58.5%)	62 (16.2%)	63 (59.4%)	14 (18.9%)	300 (35.8%)
Missing	1 (0.4%)	12 (3.1%)	8 (7.5%)	4 (5.4%)	25 (3.0%)
as.factor(lewybodydis_cat)
1	275 (100%)	381 (99.7%)	0 (0%)	0 (0%)	656 (78.4%)
1.5	0 (0%)	1 (0.3%)	0 (0%)	0 (0%)	1 (0.1%)
2	0 (0%)	0 (0%)	28 (26.4%)	11 (14.9%)	39 (4.7%)
3	0 (0%)	0 (0%)	13 (12.3%)	15 (20.3%)	28 (3.3%)
4	0 (0%)	0 (0%)	19 (17.9%)	19 (25.7%)	38 (4.5%)
5	0 (0%)	0 (0%)	1 (0.9%)	4 (5.4%)	5 (0.6%)
6	0 (0%)	0 (0%)	45 (42.5%)	25 (33.8%)	70 (8.4%)
Thal Phase
0	9 (3.3%)	28 (7.3%)	4 (3.8%)	9 (12.2%)	50 (6.0%)
1	7 (2.5%)	19 (5.0%)	4 (3.8%)	4 (5.4%)	34 (4.1%)
2	14 (5.1%)	14 (3.7%)	2 (1.9%)	7 (9.5%)	37 (4.4%)
3	30 (10.9%)	38 (9.9%)	12 (11.3%)	6 (8.1%)	86 (10.3%)
4	37 (13.5%)	37 (9.7%)	23 (21.7%)	10 (13.5%)	107 (12.8%)
5	27 (9.8%)	9 (2.4%)	23 (21.7%)	6 (8.1%)	65 (7.8%)
Missing	151 (54.9%)	237 (62.0%)	38 (35.8%)	32 (43.2%)	458 (54.7%)

Karl LBD Pathology Analysis

2023-09-08

Missingness in outcomes

Table 1

Table for for LBD

Correlation across outcomes

Outcomes by Modifier

By sex

By smoking

By age group (< 90 or 90+)

Table 1 for IPW variables

Primary Models

Aim 1: Lewy Body Pathologies

Hippocampal sclerosis

Stratified, PM2.5

Stratified, NO2

Lewy Body Disease

Stratified, PM2.5

Stratified, NO2

LATE stage

Stratified, PM2.5

Stratified, NO2

Aim 2: Modifying effect of sex and smoking

Outcome = Hippocampal sclerosis

Modifier = Sex

Modifier = Smoking

Modifier = APOE

Outcome = Lewy Body Disease category

Modifier = Sex

Modifier = Smoking

Modifier = APOE

Outcome = LATE stage

Modifier = Sex

Modifier = Smoking

Modifier = APOE

Summarizing All Results

Tables to Summarize Aim 1

Model 2

Model 3

Model 2

Model 3

Tables to Summarize Aim 2

PM2.5

NO2

Bootstrapped Results

Aims 1 and 2

Unstratified Results: PM2.5

Unstratified Results: NO2

Results stratified by age group

PM2.5

Effect modifier models

For all participants

NO2

Tables for Debby on 09/06/24

cross tab for LBP- and clinical diagnosis + group

cross tab for LBP- and clinical diagnosis - group

cross tab for LBP+ and clinical diagnosis + group

cross tab for LBP+ and clinical diagnosis - group

New table on 12/05/2024