Table 1 Demographic characteristics of the 455 864 identified immigrant women in the cohort who were aged 18-66 on January 1, 2006 by region of origin.
From: Predictors of low cervical cancer screening among immigrant women in Ontario, Canada
| Â | East Asia &Pacific | Eastern Europe & Central Asia | Latin America & Caribbean | Middle East & North Africa | South Asia | Sub-Saharan Africa | USA, Australia & New Zealand | Western Europe | All identified Immigrants |
|---|---|---|---|---|---|---|---|---|---|
n | 128 965 | 67 845 | 70 184 | 33 649 | 88 107 | 26 125 | 10 003 | 30 167 | 455 864 |
SOCIODEMOGRAPHIC FACTORS | |||||||||
Mean age (SD) | 40.6 (11.3) | 39.5 (11.8) | 38.8 (11.8) | 37.2 (12.1) | 38.6 (11.8) | 37.1 (10.9) | 39.7 (11.8) | 38.7 (11.5) | 39.2 (11.7) |
Age category, No. (%): | |||||||||
18-34 years | 37 321 (28.9) | 22 413 (33.0) | 25 852 (36.8) | 14 333 (42.6) | 35 565 (40.4) | 10 428 (39.9) | 3 043 (30.4) | 10 382 (34.4) | 159 581 (35.0) |
35-49 years | 63 857 (49.5) | 3 137 (45.9) | 30 936 (44.1) | 13 743 (40.8) | 35 904 (40.8) | 12 377 (47.4) | 4 903 (49.0) | 14 596 (48.4) | 207 836 (45.6) |
50-66 years | 27 787 (21.6) | 14 295 (21.1) | 13 396 (19.1) | 5 573 (16.6) | 16 638 (18.9) | 3 320 (12.7) | 2 057 (20.6) | 5 189 (17.2) | 88 447 (19.4) |
Income Quintile, No. (%) | |||||||||
Q1 (lowest) | 31 755 (24.6) | 17 591 (25.9) | 25 352 (36.1) | 9 045 (26.9) | 27 878 (31.6) | 11 908 (45.6) | 1 439 (14.4) | 5 730 (19.0) | 130 867 (28.7) |
Q2 | 32 387 (25.1) | 13 136 (19.4) | 17 696 (25.2) | 6 402 (19.0) | 23 281 (26.4) | 5 042 (19.3) | 1 591 (15.9) | 6 788 (22.5) | 106 489 (23.4) |
Q3 | 25 862 (20.1) | 13 403 (19.8) | 13 668 (19.5) | 6 511 (19.4) | 19 038 (21.6) | 3 629 (13.9) | 1 692 (16.9) | 5 807 (19.3) | 89 798 (19.7) |
Q4 | 22 197 (17.2) | 14 215 (21.0) | 8 518 (12.1) | 6 537 (19.4) | 11 853 (13.5) | 2 985 (11.4) | 1 948 (19.5) | 5 800 (19.2) | 74 218 (16.3) |
Q5 (highest) | 16 556 (12.8) | 9 434 (13.9) | 4 841 (6.9) | 5 105 (15.2) | 5 964 (6.8) | 2 478 (9.5) | 3 311 (33.1) | 5 997 (19.9) | 53 815 (11.8) |
No. (%) with university degree* | 28 369 (22.0) | 16 729 (24.7) | 4 029 (5.7) | 6 832 (20.3) | 21 923 (24.9) | 2 317 (8.9) | 3 390 (33.9) | 2 740 (9.1) | 86 525 (19.0) |
No. (%) living in large urban area | 124 405 (96.5) | 62 988 (92.9) | 66 975 (95.5) | 31 971 (95.1) | 85 190 (96.7) | 25 221 (96.6) | 8 127 (81.4) | 26 142 (86.7) | 431 805 (94.8) |
HEALTH CARE-RELATED FACTORS | |||||||||
No. (%) in RUB category: | |||||||||
0-1 | 34 440 (26.7) | 13 368 (19.7) | 10 967 (15.6) | 8 170 (24.3) | 13 835 (15.7) | 5 591 (21.4) | 4 592 (45.9) | 10 138 (33.6) | 101 345 (22.2) |
2 | 19 351 (15.0) | 10 843 (16.0) | 8 439 (12.0 | 3 946 (11.7) | 10 419 (11.8) | 3 048 (11.7) | 1 210 (12.1) | 3 989 (13.2) | 61 365 (13.5) |
3 | 57 936 (44.9) | 33 743 (49.7) | 36 782 (52.4) | 15 170 (45.1) | 44 120 (50.1) | 11 791 (45.1) | 3 154 (31.5) | 12 118 (40.2) | 215 149 (47.2) |
4-5 | 17 238 (13.4) | 9 891 (14.6) | 13 996 (19.9) | 6 363 (18.9) | 19 733 (22.4) | 5 695 (21.8) | 1 047 (10.5) | 3 922 (13.0) | 78 005 (17.1) |
No. (%) in ADG category: | |||||||||
0-5 | 83 780 (65.0) | 42 490 (62.6) | 37 137 (52.9) | 19 009 (56.5) | 44 845 (50.9) | 14 426 (55.2) | 21 046 (69.8) | 21 046 (69.8) | 270 893 (59.4) |
6-9 | 35 926 (27.9) | 20 473 (30.2) | 24 909 (35.5) | 10 527 (31.3) | 32 035 (36.4) | 8 542 (32.7) | 7 300 (24.2) | 7 300 (24.2) | 141 848 (31.1) |
10+ | 9 259 (7.2) | 4 882 (7.2) | 8 138 (11.6) | 4 113 (12.2) | 11 227 (12.7) | 3 157 (12.1) | 1 821 (6.0) | 1 821 (6.0) | 43 123 (9.5) |
No. (%) with prenatal visit during study period | 5 736 (4.5) | 3 579 (5.3) | 4 610 (6.6) | 1 905 (5.7) | 7 312 (8.3) | 2 000 (7.7) | 321 (3.2) | 1 507 (5.0) | 26 995 (5.9) |
No. (%) in: Patient enrolment model | 80 584 (62.5) | 41 953 (61.8) | 47 620 (67.9) | 21 227 (63.1) | 63 195 (71.7) | 16 682 (63.9) | 5 101 (51.0) | 17 707 (58.7) | 294 553 (64.6) |
Virtually rostered | 23 706 (18.4) | 17 131 (25.3) | 14 979 (21.3) | 6 302 (18.7) | 15 499 (17.6) | 5 374 (20.6) | 1 123 (11.2) | 4 482 (14.9) | 88 732 (19.5) |
Neither | 24 675 (19.1) | 8 761 (12.9) | 7 585 (10.8) | 6 120 (18.2) | 9 413 (10.7) | 4 069 (15.6) | 3 779 (37.8) | 7 978 (26.5) | 72 579 (15.9) |
No. (%) with female provider | 45 676 (35.4) | 28 917 (42.6) | 23 234 (33.1) | 12 555 (37.3) | 42 068 (47.8) | 9 679 (37.1) | 3 188 (31.9) | 10 866 (36.0) | 176 471 (38.7) |
No. (%) with provider from same region | 28 081 (21.8) | 19 713 (29.1) | 5 397 (7.7) | 8 380 (24.9) | 34 374 (39.0) | 1 937 (7.4) | 58 (0.6) | 2 911 (9.7) | 100 851 (22.1) |
No. (%) with gynaecologist | 27 739 (21.5) | 20 547 (30.3) | 22 028 (31.4) | 8 822 (26.2) | 23 768 (27.0) | 7 557 (28.9) | 1 472 (14.7) | 5 985 (19.8) | 118 075 (25.9) |
MIGRATION-RELATED FACTORS | |||||||||
No. (%) able to speak English* | 73 105 (56.7) | 24 623 (36.3) | 57 012 (81.2) | 17 673 (52.5) | 43 638 (49.5) | 18 700 (71.6) | 9 675 (96.7) | 19 901 (66.0) | 264 848 (58.1) |
No. (%) in Canada less than 10 yrs | 18 931 (14.7) | 10 919 (16.1) | 6 184 (8.8) | 5 578 (16.6) | 20 179 (22.9) | 3 700 (14.2) | 1 094 (10.9) | 1 908 (6.3) | 68 827 (15.1) |
Mean age at landing (SD) | 28.8 (11.5) | 27.8 (12.0) | 25.5 (12.0) | 25.8 (12.4) | 28.1 (11.9) | 25.2 (11.0) | 26.3 (12.1) | 24.2 (11.9) | 27.2 (11.9) |
Immigrant class, No. (%) | |||||||||
Economic | 74 615 (57.9) | 26 577 (39.2) | 21 684 (30.9) | 16 956 (50.4) | 30 904 (35.1) | 7 669 (29.4) | 3 508 (35.1) | 19 438 (64.4) | 201 872 (44.3) |
Family | 47 632 (36.7) | 21 099 (31.1) | 41 312 (58.9) | 8 688 (25.8) | 43 243 (49.1) | 8 450 (32.3) | 6 255 (62.5) | 9 783 (32.4) | 186 444 (40.9) |
Refugee | 5 817 (4.5) | 19 621 (28.9) | 7 010 (10.0) | 7 836 (23.3) | 13 278 (15.1) | 9 834 (37.6) | 238 (2.4) | 940 (3.1) | 64 618 (14.2) |