Longitudinal Cohort | 2015 new Cohort | Significance | |
---|---|---|---|
Total eligible sample | 504 (22)† | 1838 (79) | |
Gender—female | 261 (52) | 917 (50) | NS |
Diabetes type | NS | ||
Type 1 diabetes | 236 (47) | 842 (46) | |
Type 2 diabetes | 268 (53) | 996 (54) | |
Age—years | |||
Type 1 diabetes | 47±14 | 43±16 | <0.001 |
Type 2 diabetes | 62±8 | 61±10 | NS |
Diabetes duration—years | |||
Type 1 diabetes | 22±14 | 18±14 | <0.001 |
Type 2 diabetes | 12±7 | 11±8 | NS |
Primary treatment for type 1 diabetes | <0.001 | ||
Insulin pump therapy | 106 (45) | 274 (33) | |
Insulin injections | 130 (55) | 568 (67) | |
Primary treatment for type 2 diabetes | NS | ||
Insulin pump therapy | 0 (0) | 2 (0.2) | |
Insulin injections | 95 (35) | 434 (44) | |
Non-insulin injectables | 11 (4) | 36 (4) | |
Blood glucose-lowering tablets | 119 (44) | 391 (39) | |
Diet and/or exercise alone | 43 (16) | 133 (13) | |
Aboriginal or Torres Strait Islander origin | 5 (1) | 31 (2) | NS |
Main language spoken at home—English | 494 (98) | 1774 (97) | NS |
Country of birth—Australia | 387 (77) | 1333 (73) | NS |
Relationship status | NS | ||
Single | 64 (13) | 288 (16) | |
In a steady relationship | 12 (2) | 61 (3) | |
Married or De Facto | 356 (71) | 1241 (68) | |
Separated | 12 (2) | 42 (2) | |
Divorced | 44 (9) | 134 (7) | |
Widowed | 15 (3) | 64 (3) | |
Education | <0.001 | ||
No qualifications | 15 (3) | 140 (8) | |
School/intermediate certificate | 68 (14) | 242 (13) | |
High school/leaving certificate | 58 (12) | 263 (14) | |
Trade training or diploma(s) | 132 (26) | 502 (28) | |
University undergraduate degree | 123 (25) | 369 (20) | |
Higher university degree | 106 (21) | 315 (17) | |
(Un)Employment details | NS | ||
Paid employment | 280 (56) | 967 (53) | |
Retired | 155 (31) | 570 (31) | |
Full-time student | 6 (1) | 28 (2) | |
Unpaid household duties | 26 (5) | 63 (3) | |
Unemployed | 35 (7) | 197 (11) | |
Other | 2 (0.4) | 10 (1) | |
Annual household income ($A) | NS | ||
≤20 000 | 67 (13) | 288 (16) | |
20 001–40 000 | 79 (16) | 325 (18) | |
40 001–60 000 | 80 (16) | 254 (14) | |
60 001–100 000 | 94 (19) | 321 (18) | |
100 001–150 000 | 61 (12) | 210 (12) | |
>150 000 | 57 (11) | 141 (8) | |
Do not know/prefer not to say | 65 (13) | 267 (15) | |
State | <0.001 | ||
Australian Capital Territory | 17 (3) | 169 (9) | |
New South Wales | 105 (21) | 498 (27) | |
Northern Territory | 1 (0.2) | 49 (3) | |
Queensland | 81 (16) | 202 (11) | |
South Australia | 25 (5) | 181 (10) | |
Tasmania | 12 (2) | 158 (9) | |
Victoria | 215 (43) | 363 (20) | |
Western Australia | 47 (9) | 217 (12) | |
Geographical location | NS | ||
Metropolitan | 312 (63) | 1121 (61) | |
Regional | 127 (25) | 448 (24) | |
Rural | 63 (13) | 265 (14) |
Data are n (%) or mean±SD (range).
*Table refers only to eligible participants. Total N reported is not always consistent with total sample size due to missing data on some items. Percentages do not always sum to 100 due to rounding.
†Of the 504 longitudinal cohort participants, 459 could be matched with 2011 data.
NS, not significant.