Table 7 Characteristics of Shenzhen sample within age range during clinical assessments
From: Autism prevalence in China is comparable to Western prevalence
Variables | n (%) | Group 1: CAST ≥ 15 | Group 2: 12–14 | Group 3: ≤ 11 | ||||
|---|---|---|---|---|---|---|---|---|
Completed | Not completed | Invited and completed | Invited but not participated | Not invited | Invited | Not invited | ||
Number | 796 (67) | 391 (33) | 70 (3) | 53 (2) | 2419 (95) | 23 (0.1) | 17,050 (99.9) | |
CAST score | Median (IQR) | 16 (15,17) | 16 (15.17) | 13 (12, 14) | 13 (12, 14) | 13 (12, 13) | 13 (12, 14) | 13 (12, 13) |
Mean (SD) | 15.5 (3.7) | 15.8 (3.0) | 12.2 (2.5) | 12.6 (1.7) | 12.6 (1.6) | 12.2 (2.5) | 12.6 (1.6) | |
Age | Mean (SD) | 8.2 (1.1) | 8.3 (1.1) | 7.9 (1.1) | 8.4 (1.0) | 8.2 (1.1) | 7.9 (1.1) | 8.2 (1.1) |
Sex | ||||||||
Boys | 527 (66) | 265 (68) | 40 (57) | 35 (66) | 1548 (64) | 22 (96) | 9185 (54) | |
Girls | 241 (30) | 126 (32) | 30 (43) | 18 (34) | 866 (36) | 1 (4) | 7840 (46) | |
Missing | 28 (3.5) | 0 (0) | 0 (0) | 0 (0) | 5 (0.2) | 0 (0) | 25 (0.2) | |
Mother’s age | ||||||||
≤ 24 | 5 (0.6) | 1 (0.3) | 0 (0) | 0 (0) | 11 (0.5) | 0 (0.0) | 44 (0.3) | |
25–30 | 88 (11.1) | 47 (12.0) | 8 (11.4) | 5 (9.4) | 337 (13.9) | 4 (17.4) | 2063 (12.1) | |
31–34 | 419 (52.6) | 211 (54.0) | 35 (50.0) | 31 (58.5) | 1330 (55.0) | 12 (52.2) | 9883 (58.0) | |
35–40 | 184 (23.1) | 110 (28.1) | 14 (20.0) | 12 (22.6) | 565 (23.4) | 7 (30.4) | 3924 (23.0) | |
≥ 41 | 19 (2.4) | 2 (0.5) | 3 (4.3) | 1 (1.9) | 40 (4.3) | 0 (0.0) | 345 (2.0) | |
Missing | 81 (10.2) | 20 (5.1) | 10 (14.3) | 4 (7.6) | 136 (5.6) | 0 (0.0) | 791 (4.6) | |
Father’s age | ||||||||
≤ 24 | 2 (0.3) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 6 (0.3) | 0 (0.0) | 23 (0.1) | |
25–30 | 21 (2.6) | 8 (2.1) | 1 (1.4) | 2 (3.8) | 92 (3.8) | 2 (8.7) | 551 (3.2) | |
31–34 | 393 (49.4) | 183 (46.8) | 34 (48.6) | 30 (56.6) | 1215 (50.2) | 9 (39.1) | 8604 (50.5) | |
35–40 | 265 (33.3) | 169 (43.2) | 21 (30.0) | 18 (34.0) | 869 (37.0) | 11 (47.8) | 6197 (36.4) | |
≥ 41 | 45 (5.7) | 12 (3.1) | 5 (7.1) | 2 (3.8) | 85 (3.5) | 1 (4.4) | 835 (4.9) | |
Missing | 70 (8.8) | 18 (4.6) | 9 (12.9) | 1 (1.9) | 125 (5.2) | 0 (0.0) | 840 (4.9) | |
Mother’s education | ||||||||
Junior high or lower | 366 (46.0) | 168 (43.0) | 35 (50.0) | 18 (34.0) | 1023 (42.29) | 11 (47.8) | 5359 (31.4) | |
High school | 252 (31.7) | 130 (33.3) | 25 (35.7) | 21 (39.6) | 908 (37.5) | 8 (34.8) | 6972 (40.9) | |
College or university | 116 (14.6) | 71 (18.2) | 5 (7.1) | 12 (22.6) | 416 (17.2) | 4 (17.4) | 4248 (24.9) | |
Graduate school | 8 (1.0) | 6 (1.5) | 0 (0.0) | 1 (1.9) | 14 (0.6) | 0 (0.0) | 125 (0.7) | |
Missing | 54 (6.8) | 16 (4.1) | 5 (7.1) | 1 (1.9) | 58 (2.4) | 0 (0.0) | 346 (2.0) | |
Father’s education | ||||||||
Junior high or lower | 264 (33.1) | 115 (29.4) | 22 (31.4) | 16 (30.2) | 729 (30.1) | 10 (43.5) | 3795 (22.3) | |
High school | 285 (35.8) | 144 (36.83) | 30 (42.9) | 1040 (40.9) | 988 (40.8) | 7 (30.4) | 6732 (39.5) | |
College or university | 175 (22.0) | 101 (25.8) | 14 (20.0) | 627 (24.7) | 602 (24.9) | 4 (17.4) | 5697 (33.4) | |
Graduate school | 14 (1.8) | 10 (2.6) | 1 (1.4) | 29 (1.1) | 26 (1.1) | 0 (0.0) | 321 (1.9) | |
Missing | 58 (7.3) | 21 (5.4) | 3 (4.3) | 79 (3.1) | 74 (3.1) | 2 (8.7) | 505 (3.0) | |
Mother’s occupation | ||||||||
Public servant hired by the government | 6 (0.8) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 18 (0.7) | 0 (0.0) | 64 (0.4) | |
Company clerks | 213 (26.8) | 93 (23.8) | 13 (18.6) | 13 (18.6) | 611 (25.3) | 3 (13.0) | 5226 (30.7) | |
Industry workers | 45 (5.7) | 28 (7.2) | 6 (8.6) | 6 (8.6) | 157 (6.5) | 2 (8.7) | 1232 (7.2) | |
Self-employed | 191 (24.0) | 109 (27.9) | 21 (30.0) | 21 (30.0) | 669 (27.7) | 6 (26.1) | 4451 (26.1) | |
Other worker | 79 (9.9) | 27 (6.9) | 3 (4.3) | 3 (4.3) | 237 (9.8) | 3 (13.0) | 1224 (7.2) | |
Student | 1 (0.1) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 3 (0.1) | 0 (0.0) | 27 (0.2) | |
Farmer | 49 (6.2) | 28 (7.2) | 11 (15.7) | 11 (15.7) | 158 (6.5) | 2 (8.7) | 684 (4.0) | |
Unemployed | 206 (25.9) | 103 (26.3) | 16 (22.9) | 16 (22.9) | 558 (23.1) | 7 (30.4) | 4102 (24.1) | |
Missing | 6 (0.8) | 1 (0.3) | 0 (0.0) | 0 (0.0) | 8 (0.3) | 0 (0.0) | 40 (0.2) | |
Father’s occupation | ||||||||
Public servant hired by the government | 8 (1.0) | 5 (1.3) | 0 (0.0) | 0 (0.0) | 35 (1.5) | 1 (4.4) | 244 (1.4) | |
Company clerks | 236 (29.7) | 108 (27.6) | 23 (32.9) | 14 (26.4) | 741 (30.6) | 11 (47.8) | 6385 (37.5) | |
Industry workers | 66 (8.3) | 49 (12.5) | 8 (11.4) | 4 (7.6) | 219 (9.1) | 1 (4.4) | 1489 (8.7) | |
Self-employed | 272 (34.2) | 148 (37.9) | 25 (35.7) | 24 (45.3) | 900 (37.2) | 6 (26.1) | 6242 (36.6) | |
Other worker | 95 (11.9) | 34 (8.7) | 3 (4.3) | 6 (11.3) | 262 (10.8) | 3 (13.0) | 1287 (7.6) | |
Student | 2 (0.3) | 0 (0.0) | 0 (0.0) | 8 (0.1) | ||||
Farmer | 36 (4.5) | 16 (4.1) | 6 (8.6) | 1 (1.9) | 111 (4.6) | 0 (0.0) | 418 (2.5) | |
Unemployed | 75 (9.4) | 31 (7.9) | 5 (7.1) | 4 (7.6) | 148 (6.1) | 1 (4.4) | 935 (5.5) | |
Missing | 6 (0.8) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (0.1) | 0 (0.0) | 42 (0.3) | |
Income | ||||||||
≤ 1999 | 46 (5.8) | 31 (7.9) | 4 (5.7) | 4 (7.6) | 135 (5.6) | 0 (0.0) | 609 (3.6) | |
2000–3999 | 181 (22.7) | 89 (22.8) | 17 (24.3) | 14 (26.4) | 480 (19.8) | 5 (21.7) | 2569 (15.1) | |
4000–5999 | 156 (19.6) | 81 (20.7) | 16 (22.9) | 12 (22.6) | 515 (21.3) | 9 (39.1) | 3047 (17.9) | |
6000–7999 | 104 (13.1) | 38 (9.7) | 10 (14.3) | 7 (13.2) | 336 (13.9) | 3 (13.0) | 2552 (15.0) | |
8000–9999 | 68 (8.5) | 36 (9.2) | 4 (5.7) | 4 (7.6) | 227 (9.4) | 1 (4.4) | 2049 (12.0) | |
≥ 10,000 | 112 (14.1) | 69 (17.7) | 10 (14.3) | 6 (11.3) | 500 (20.7) | 3 (13.0) | 4699 (27.6) | |
Missing | 129 (16.2) | 47 (12.0) | 9 (12.9) | 6 (11.3) | 226 (9.3) | 2 (8.7) | 1525 (8.9) | |