Table 2.
Demographic characteristics of MS cases and controls from White, Black, South Asian, Mixed/Other, and Unknown ethnic backgrounds
| Ethnicity | ||||||
|---|---|---|---|---|---|---|
| White | Asian | Black | Mixed/Other | Missing | P value | |
| MS CASES (N = 9662) | ||||||
| N | 8783 | 277 | 251 | 189 | 162 | |
| Gender | 0.0002 | |||||
| Female | 6238 (71%) | 167 (60.3%) | 190 (75.7%) | 126 (66.7%) | 105 (64.8%) | |
| Male | 2545 (29%) | 110 (39.7%) | 61 (24.3%) | 63 (33.3%) | 57 (35.2%) | |
| Year of birth | 1964.6 (13.5) | 1976.3 (10.9) | 1972.2 (12.2) | 1974.8 (12.9) | 1964.8 (14.6) | < 0.0001 |
| Index age (years) | 46.1 (12.2) | 37.2 (10) | 40.5 (10.9) | 38.6 (12.1) | 44.4 (12.4) | < 0.0001 |
| Data prior to index date (years) | 18.2 (11.4) | 14.7 (8.3) | 15.2 (8.5) | 14.6 (8) | 18.9 (10.6) | < 0.0001 |
| IMD quintile | < 0.0001 | |||||
| 1 (least deprived) | 2080 (24.1%) | 40 (14.7%) | 7 (2.9%) | 33 (17.6%) | 11 (13.3%) | |
| 2 | 1994 (23.1%) | 47 (17.3%) | 21 (8.6%) | 26 (13.8%) | 23 (27.7%) | |
| 3 | 1766 (20.4%) | 50 (18.4%) | 46 (18.9%) | 25 (13.3%) | 19 (22.9%) | |
| 4 | 1514 (17.5%) | 68 (25%) | 86 (35.4%) | 57 (30.3%) | 15 (18.1%) | |
| 5 (most deprived) | 1288 (14.9%) | 67 (24.6%) | 83 (34.2%) | 47 (25%) | 15 (18.1%) | |
| Location | < 0.0001 | |||||
| Rural | 1671 (19.3%) | 2 (0.7%) | 1 (0.4%) | 14 (7.4%) | 19 (22.9%) | |
| Urban | 6971 (80.7%) | 270 (99.3%) | 242 (99.6%) | 174 (92.6%) | 64 (77.1%) | |
| CONTROLS (N = 118,914) | ||||||
| N | 75,860 | 5043 | 4019 | 3835 | 30,157 | |
| Gender | < 0.0001 | |||||
| Female | 39,183 (51.7%) | 2451 (48.6%) | 2134 (53.1%) | 2000 (52.2%) | 14,362 (47.6%) | |
| Male | 36,677 (48.3%) | 2592 (51.4%) | 1885 (46.9%) | 1835 (47.8%) | 15,795 (52.4%) | |
| Year of birth | 1962.7 (16.3) | 1968.8 (14.6) | 1968.4 (13.9) | 1970.7 (13.9) | 1964.2 (14.5) | < 0.0001 |
| Index age (years) | 48.2 (14.3) | 44.5 (12.7) | 44.6 (12.3) | 43 (12.1) | 45.3 (13) | < 0.0001 |
| Data prior to index date (years) | 15.1 (10.2) | 11.9 (6.8) | 11.5 (6.3) | 11.2 (6.3) | 17.4 (9.7) | < 0.0001 |
| IMD quintile | < 0.0001 | |||||
| 1 (least deprived) | 16,459 (22.1%) | 533 (10.8%) | 158 (4%) | 491 (12.9%) | 5711 (22.6%) | |
| 2 | 16,146 (21.6%) | 709 (14.4%) | 282 (7.2%) | 585 (15.4%) | 5302 (20.9%) | |
| 3 | 14,930 (20%) | 1012 (20.5%) | 676 (17.2%) | 834 (22%) | 5058 (20%) | |
| 4 | 14,259 (19.1%) | 1400 (28.3%) | 1398 (35.6%) | 996 (26.3%) | 5143 (20.3%) | |
| 5 (most deprived) | 12,831 (17.2%) | 1285 (26%) | 1417 (36%) | 887 (23.4%) | 4107 (16.2%) | |
| Location | < 0.0001 | |||||
| Rural | 13,161 (17.6%) | 93 (1.9%) | 56 (1.4%) | 168 (4.4%) | 3554 (14%) | |
| Urban | 61,464 (82.4%) | 4846 (98.1%) | 3875 (98.6%) | 3625 (95.6%) | 21,767 (86%) | |