Sample characteristics for the 2015 Diabetes MILES—Australia survey, by diabetes type*
| Type 1 diabetes n=1078 (46) | Type 2 diabetes n=1264 (54) | Total sample N=2342 (100) | |
|---|---|---|---|
| Gender—female | 639 (59) | 539 (43) | 1178 (50) |
| Age—years | 44±15 (18–75) | 61±9 (22–75) | 53±15 (18–75) |
| Diabetes duration—years | 19±14 (0–68) | 11±7 (0–44) | 15±12 (0–68) |
| Primary diabetes management | |||
| Insulin pump therapy | 380 (35) | 2 (0.2) | 382 (16) |
| Insulin injections | 698 (65) | 529 (42) | 1227 (52) |
| Non-insulin injectables | − | 47 (4) | 47 (2) |
| Blood glucose-lowering tablets | − | 510 (40) | 510 (22) |
| Diet and/or exercise alone | − | 176 (14) | 176 (8) |
| Aboriginal or Torres Strait Islander | 14 (1) | 22 (2) | 36 (2) |
| Main language spoken at home—English | 1054 (98) | 1214 (96) | 2268 (97) |
| Country of birth—Australia | 831 (77) | 889 (70) | 1720 (73) |
| Relationship status | |||
| Single | 241 (22) | 111 (9) | 352 (15) |
| In a steady relationship | 52 (5) | 21 (2) | 73 (3) |
| Married or De Facto | 706 (66) | 891 (71) | 1597 (68) |
| Separated | 18 (2) | 36 (3) | 54 (2) |
| Divorced | 48 (4) | 130 (10) | 178 (8) |
| Widowed | 8 (1) | 71 (6) | 79 (3) |
| Education | |||
| No qualifications | 30 (3) | 125 (10) | 155 (7) |
| School/intermediate certificate | 105 (10) | 205 (16) | 310 (13) |
| High school/leaving certificate | 181 (17) | 140 (11) | 321 (14) |
| Trade training or diploma(s) | 252 (23) | 382 (30) | 634 (27) |
| University undergraduate degree | 269 (25) | 223 (18) | 492 (21) |
| Higher university degree | 236 (22) | 185 (15) | 421 (18) |
| (Un)Employment details | |||
| Paid employment | 770 (72) | 477 (38) | 1247 (54) |
| Retired | 146 (14) | 579 (46) | 725 (31) |
| Full-time student | 26 (2) | 8 (1) | 34 (2) |
| Unpaid household duties | 40 (4) | 49 (4) | 69 (3) |
| Unemployed | 86 (8) | 146 (12) | 232 (10) |
| Other | 8 (1) | 4 (0.3) | 12 (1) |
| Annual household income ($A) | |||
| ≤20 000 | 130 (12) | 225 (18) | 355 (15) |
| 20 001–40 000 | 123 (12) | 281 (23) | 404 (17) |
| 40 001–60 000 | 135 (13) | 199 (16) | 334 (14) |
| 60 001–100 000 | 240 (23) | 175 (14) | 415 (18) |
| 100 001–150 000 | 158 (15) | 113 (9) | 271 (12) |
| >150 000 | 123 (12) | 75 (6) | 198 (9) |
| Do not know/prefer not to say | 155 (15) | 177 (14) | 332 (14) |
| State | |||
| Australian Capital Territory | 54 (5) | 132 (10) | 186 (8) |
| New South Wales | 345 (32) | 258 (20) | 603 (26) |
| Northern Territory | 9 (0.8) | 41 (3) | 50 (2) |
| Queensland | 140 (13) | 143 (11) | 283 (12) |
| South Australia | 86 (8) | 120 (10) | 206 (9) |
| Tasmania | 50 (5) | 120 (10) | 170 (7) |
| Victoria | 281 (26) | 297(24) | 578 (25) |
| Western Australia | 113 (10) | 151 (12) | 264 (11) |
| Geographical location | |||
| Metropolitan | 483 (63) | 750 (60) | 1433 (61) |
| Regional | 272 (25) | 303 (24) | 575 (25) |
| Rural | 122 (11) | 206 (16) | 328 (14) |
Data are n (%) or mean±SD (range).
*Total N reported is not always consistent with total sample size due to missing data for some variables. Percentages do not always sum to 100 due to rounding.