Table 1.
Cis | Trans | Heterosexual | Gay/Lesbian | Bisexual | Other | Non-sexuality diverse | Sexuality diverse | |
---|---|---|---|---|---|---|---|---|
All (Nc) | 2619 | 36 | 2261 | 56 | 225 | 39 | 2211 | 402 |
Age—Md (SDe) |
14.4 (0.49) |
14.3 (0.48) |
14.4 (0.49) |
14.4 (0.50) |
14.1 (0.49) |
14.3 (0.48) |
14.4 (0.49) | 14.4 (0.49) |
Binary sex presumed at birth | ||||||||
Female—N (%) |
1276 (49.8) |
20 (55.6) | 1041 (47.0) | 24 (43.6) | 152 (69.4) | 25 (69.4) | 1016 (46.9) | 226 (63.0) |
Male—N (%) |
1287 (50.2) |
16 (44.4) | 1174 (53.0) | 31 (56.36) | 67 (30.6) | 11 (30.6) | 1150 (53.1) | 133 (37.0) |
Australian state of residence—N | ||||||||
New South Wales | 785 | 15 | 677 | 19 | 75 | 11 | 662 | 120 |
Victoria | 562 | * | 482 | 11 | 45 | * | 470 | 78 |
Queensland | 497 | * | 434 | * | 43 | * | 425 | 68 |
South Australia | 164 | * | 146 | * | 12 | * | 142 | 20 |
Western Australia | 267 | * | 228 | * | 24 | * | 224 | 38 |
Tasmania | 92 | * | 79 | * | * | * | 78 | 14 |
Northern Territory | 26 | * | 22 | * | * | * | 22 | * |
Australian Capital Territory | 69 | * | 61 | * | * | * | 61 | * |
Region of residence | ||||||||
Non-metropolitan | 957 (39.0) | 13 (36.1) | 836 (39.4) | 20 (38.5) | 72 (34.1) | 11 (31.4) | 819 (39.4) | 120 (35.0) |
Metropolitan | 1497 (61.0) | 23 (63.9) | 1286 (60.6) | 32 (61.5) | 139 (65.9) | 24 (68.6) | 1258 (60.6) | 223 (65.0) |
Index of Relative Socio-economic Disadvantage Scores—M (SD) | 1017 (65.4) | 1008 (62.9) | 1019 (64.0) | 991 (75.4) | 1004 (70.8) | 1036 (59.9) | 1019 (64.1) | 1005 (69.5) |
aThe Longitudinal Study of Australian Children (LSAC) comprises two cohorts, an older (‘K’) cohort, and younger (‘B’) cohort. The K cohort were born between March 1999 and February 2000
bGender and sexuality indicators were only included in the LSAC dataset at Wave 8 (ages 18 to 19 years). The application of gender and sexuality indicators to retrospectively identify LGBTQA+ participants in longitudinal observational cohort studies are ethically permissible and epidemiologically rigorous where gender and sexuality is inconsistently recorded throughout follow-up studies given the evolutionary nature of the development of gender and sexuality. This approach ensures optimal coverage of people who have shared information about their gender or sexuality during the study period. This rationale is formally detailed in a manuscript currently under peer-review with a journal specialising in trans health
cCount
dMean
eStandard deviation
*The LSAC dataset is governed by Australian Institute of Family Studies rules which require the censoring of values ≤ 10