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. 2024 May 17;47:101084. doi: 10.1016/j.lanwpc.2024.101084

Table 4.

Proportion differences in gender identity, gender expression and gender dysphoria in those with and without autistic traits.

Non-autistic traits
Autistic traits
Difference in proportiona (age and assigned gender adjusted)
N % (n) N % (n) N Diff 95% CI p values
Gender identity
 Gender identity (categorical)
 Binary 281 70.5 (198) 236 73.7 (174) 517 2.4 −5.4 to 10.3 0.54
 Non-binary 281 14.2 (40) 236 14.0 (33) 517 −1.0 −7.1 to 5.0 0.74
 Unsure 281 15.3 (43) 236 12.3 (29) 517 −1.4 −7.5 to 4.6 0.64
Gender expression
 Social transition
 Overall 223 35.4 (79) 207 46.4 (96) 430 8.0 −1.1 to 17.0 0.084
 Name 199 45.2 (90) 201 54.7 (110) 400 7.4 −2.2 to 17.1 0.13
 Pronoun 221 42.5 (94) 206 56.3 (116) 427 11.7 2.4–21.1 0.014
 Look 229 72.1 (165) 205 78.0 (160) 434 −0.9 −7.5 to 5.7 0.79
 Home 238 54.2 (129) 213 59.2 (126) 451 0.9 −7.9 to 9.7 0.84
 School 229 46.7 (107) 203 59.1 (120) 432 8.7 −0.5 to 18.0 0.062
 Online 184 76.6 (141) 177 84.2 (149) 361 5.9 −1.9 to 13.7 0.14
Gender dysphoria
 Gender preoccupation and stability (clinically high levels of GD)
 GPSQ Total score ≥28 214 95.8 (205) 205 95.1 (195) 419 −1.2 −5.2 to 2.8 0.56

Note: Questionnaires were administered according to age applicability and in some instances also according to assigned gender, hence, the total numbers do not always equal 522.

a

Binary logistic regression used to assess the association between gender outcomes and the autistic trait (yes/no) adjusting for the effect of age and assigned gender at birth. Marginal effects as difference in proportion was estimated using the fitted models.