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. 2024 Apr 12;33(6):1647–1662. doi: 10.1007/s11136-024-03633-z

Table 1.

Demographic characteristics of Ka cohort participants by gender and sexuality at Wave 6 (ages 14 to 15 years)b

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