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. 2022 Jul 15;27(3):602–615. doi: 10.1177/13623613221109717

Table 1.

Characteristics of the sample.

Diagnosed ASC Suspected ASC Non-ASC
Age, M (SD), range 33.9 (13.5), 16–62 36.1 (13.5), 19–67 28.9 (12.0), 17–64
 Group comparison = F(2, 196) = 5.43, p = 0.005
Gender, n (%)
 Male 17 (33.3%) 10 (31.3%) 21 (17.6%)
 Female 29 (56.9%) 19 (59.4%) 98 (82.4%)
 Non-binary/trans 5 (9.8%) 3 (9.4%) 0
 Group comparison = χ2(4) = 20.16, p < 0.001
Ethnicity, n (%) a
 White/Caucasian 44 (86.3%) 26 (81.3%) 79 (66.4%)
 Mixed race 2 (3.9%) 1 (3.1%) 4 (3.4%)
 Asian 0 0 6 (5%)
 Group comparison = χ2(4) = 5.17, p = 0.270
Education, n (%)
 No formal qualifications 2 (3.9%) 2 (6.3%) 1 (0.8%)
 Secondary GCSE/equivalent 8 (15.7%) 3 (9.4%) 9 (7.6%)
 Post-secondary 16 (31.4%) 5 (15.6%) 40 (33.6%)
 Bachelor’s degree 14 (27.5%) 15 (46.9%) 46 (38.7%)
 Postgraduate degree 9 (17.6%) 7 (21.9%) 18 (15.1%)
 Other 2 (3.9%) 0 5 (4.2%)
 Group comparison = χ2(10) = 12.90, p = 0.230
Employment, b n (%)
 Full-time 14 (27.5%) 16 (50%) 49 (41.2%)
 Part-time 9 (17.6%) 7 (21.9%) 29 (24.4%)
 Unemployed (looking) 4 (7.8%) 1 (3.1%) 2 (1.7%)
 Unemployed (not looking) 3 (5.9%) 1 (3.1%) 2 (1.7%)
 Student 20 (39.2%) 5 (15.6%) 42 (35.3%)
 Retired 1 (2.0%) 2 (6.3%) 2 (1.7%)
 Self-employed 3 (5.9%) 2 (6.3%) 4 (3.4%)
 Unable 5 (9.8%) 2 (6.3%) 1 (0.8%)

ASC: autism spectrum condition; GCSE: general certificate of secondary education; SD: standard deviation.

a

Ethnicity data were missing for n = 40.

b

Participants could select more than one of the employment options, so percentages do not sum to 100% and group comparisons could not be conducted.