Screened subjects by country

Characteristic N = 7541
Data Access Group
Argentina 47 (6.3%)
Bolivia 57 (7.6%)
Brasil UFMG 1 (0.1%)
Brasil USP 26 (3.5%)
Chile 98 (13%)
Colombia 104 (14%)
Costa Rica 90 (12%)
Ecuador 54 (7.2%)
Mexico 56 (7.5%)
Peru 45 (6.0%)
Republica Dominicana 60 (8.0%)
Uruguay 113 (15%)
1 n (%)

Randomized subjects by country

Characteristic N = 3371
Data Access Group
Argentina 19 (5.6%)
Brasil USP 5 (1.5%)
Chile 55 (16%)
Colombia 63 (19%)
Ecuador 25 (7.4%)
Mexico 40 (12%)
Peru 31 (9.2%)
Uruguay 99 (29%)
1 n (%)

Demographics (randomized subjects)

base2<-base %>% rename(sex=`¿Cual es su sexo?`, age_subject=Edad...27)


base2<-base2 %>% rename(GDS=`GDS Puntaje total`)

base2<-base2 %>% rename(country=`Data Access Group`)
base2<-base2 %>% rename(MMSE=`Puntaje total...477`) 
base2<-base2 %>% rename(CAIDE=`Puntuación`)

base2 %>% filter(country!="Brasil UFMG")%>% filter(country!="Brasil USP") %>% select(age_subject,sex, country, MMSE, CAIDE, GDS) %>% tbl_summary(by =country, missing="no") %>% add_overall() %>% add_p()
Characteristic Overall, N = 1,9011 Argentina, N = 1001 Bolivia, N = 871 Chile, N = 3031 Colombia, N = 3301 Costa Rica, N = 1171 Ecuador, N = 1421 Mexico, N = 1671 Peru, N = 1591 Republica Dominicana, N = 811 Uruguay, N = 4151 p-value2
age_subject 68.0 (64.0, 72.0) 69.5 (64.0, 73.0) 65.0 (63.0, 71.0) 69.0 (65.5, 72.0) 67.0 (62.8, 70.0) 66.0 (63.0, 69.5) 67.0 (65.0, 70.2) 70.5 (69.0, 74.0) 65.5 (62.0, 70.0) 70.0 (65.8, 73.0) 67.0 (63.0, 72.0) <0.001
sex 0.10
Female 512 (76%) 35 (74%) 44 (77%) 75 (77%) 88 (85%) 50 (72%) 26 (74%) 28 (58%) 32 (76%) 45 (75%) 89 (79%)
Male 158 (24%) 12 (26%) 13 (23%) 22 (23%) 15 (15%) 19 (28%) 9 (26%) 20 (42%) 10 (24%) 15 (25%) 23 (21%)
MMSE 28.00 (27.00, 29.00) 29.00 (27.75, 30.00) 27.00 (27.00, 29.00) NA (NA, NA) 27.00 (26.00, 28.00) 29.00 (27.00, 30.00) 28.00 (27.00, 29.00) NA (NA, NA) 28.00 (28.00, 28.00) 27.00 (26.00, 28.00) 27.00 (27.00, 28.00) <0.001
CAIDE 8.00 (7.00, 9.00) 9.00 (7.00, 9.00) 6.50 (5.00, 7.00) 9.00 (7.00, 10.00) 7.00 (6.00, 9.00) 7.00 (6.00, 9.00) 7.00 (6.75, 8.00) 9.00 (8.00, 11.00) 7.00 (6.75, 8.00) 10.00 (8.00, 11.25) 7.00 (7.00, 9.00) <0.001
GDS 2.00 (1.00, 4.00) 2.00 (1.50, 5.00) NA (NA, NA) 2.00 (1.00, 6.00) 1.00 (0.00, 3.00) 2.00 (1.00, 3.00) 2.50 (1.75, 6.25) 3.00 (2.75, 4.00) 2.00 (1.00, 3.00) NA (NA, NA) 2.00 (1.00, 3.00) 0.11
1 Median (IQR); n (%)
2 Kruskal-Wallis rank sum test; Pearson's Chi-squared test 

base2<-base2 %>% rename(IADL=`IADL Score Total`)
base2<-base2 %>% rename(Framingham=`Framingham Score...2765`)

base2 %>% filter(country!="Brasil UFMG")%>% filter(country!="Brasil USP") %>% select(IADL,Framingham, country) %>% tbl_summary(by =country, missing="no") %>% add_overall() %>% add_p()
Characteristic Overall, N = 1,9011 Argentina, N = 1001 Bolivia, N = 871 Chile, N = 3031 Colombia, N = 3301 Costa Rica, N = 1171 Ecuador, N = 1421 Mexico, N = 1671 Peru, N = 1591 Republica Dominicana, N = 811 Uruguay, N = 4151 p-value2
IADL
0 124 (38%) 4 (33%) 0 (NA%) 8 (16%) 15 (23%) 3 (30%) 18 (67%) 26 (84%) 39 (98%) 0 (NA%) 11 (12%)
6 3 (0.9%) 0 (0%) 0 (NA%) 1 (2.0%) 0 (0%) 2 (20%) 0 (0%) 0 (0%) 0 (0%) 0 (NA%) 0 (0%)
7 9 (2.8%) 1 (8.3%) 0 (NA%) 6 (12%) 0 (0%) 1 (10%) 0 (0%) 0 (0%) 0 (0%) 0 (NA%) 1 (1.1%)
8 190 (58%) 7 (58%) 0 (NA%) 35 (70%) 49 (77%) 4 (40%) 9 (33%) 5 (16%) 1 (2.5%) 0 (NA%) 80 (87%)
Framingham 13.0 (11.0, 16.0) 12.5 (12.0, 15.2) NA (NA, NA) 15.0 (13.0, 17.0) 11.0 (10.0, 14.0) 11.5 (10.2, 13.0) 16.0 (12.0, 17.0) 16.0 (12.0, 17.0) 13.0 (11.0, 14.8) NA (NA, NA) 13.0 (11.0, 15.0) <0.001
1 n (%); Median (IQR)
2 Kruskal-Wallis rank sum test