Table 4. Sensitivity analysis of the associations between ASD status and the 7 Factors or the 4 individual measures.
Trait | All Data | At least half observed | Complete data | |||||||||
OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | p | ||||
1: Verbal ability | 1.38 | 1.26 | 1.51 | <0.001 | 1.48 | 1.34 | 1.65 | <0.001 | 0.92 | 0.43 | 2.00 | 0.837 |
2: Language acquisition | 1.65 | 1.26 | 2.17 | <0.001 | 1.78 | 1.28 | 2.49 | 0.001 | 0.59 | 0.19 | 1.78 | 0.345 |
3: Social understanding | 2.27 | 1.88 | 2.73 | <0.001 | 2.41 | 1.93 | 3.00 | <0.001 | 2.85 | 1.39 | 5.86 | 0.004 |
4: Semantic-pragmatic skills | 1.88 | 1.55 | 2.28 | <0.001 | 1.95 | 1.57 | 2.43 | <0.001 | 2.11 | 0.77 | 5.74 | 0.144 |
5: Repetitive-stereotyped | 1.32 | 1.20 | 1.45 | <0.001 | 1.32 | 1.18 | 1.47 | <0.001 | 1.42 | 0.87 | 2.31 | 0.159 |
6: Articulation | 1.41 | 1.16 | 1.70 | <0.001 | 1.58 | 1.27 | 1.95 | <0.001 | 2.12 | 0.94 | 4.78 | 0.072 |
7: Social inhibition | 1.67 | 1.36 | 2.06 | <0.001 | 1.61 | 1.28 | 2.02 | <0.001 | 1.32 | 0.68 | 2.55 | 0.410 |
N | 13138 | 9375 | 2481 | |||||||||
ASD cases | 80 | 61 | 4 | |||||||||
Increase in R2 | 0.450 | 0.501 | 0.399 | |||||||||
CCC – coherence 9y | 1.86 | 1.63 | 2.14 | <0.001 | 1.94 | 1.67 | 2.25 | <0.001 | 2.18 | 1.81 | 2.63 | <0.001 |
SCDC 91 m | 1.58 | 1.34 | 1.87 | <0.001 | 1.58 | 1.32 | 1.89 | <0.001 | 1.62 | 1.31 | 2.01 | <0.001 |
Repetitive behaviour 69 m | 1.16 | 1.04 | 1.30 | 0.011 | 1.15 | 1.02 | 1.30 | 0.026 | 1.09 | 0.91 | 1.29 | 0.345 |
EAS – sociability 38 m | 1.77 | 1.42 | 2.21 | <0.001 | 1.79 | 1.41 | 2.29 | <0.001 | 1.61 | 1.19 | 2.18 | 0.002 |
N | 11411 | 9422 | 6055 | |||||||||
ASD cases | 73 | 63 | 44 | |||||||||
Increase in R2 | 0.482 | 0.527 | 0.544 |
See Methods S3 for definitions of the abbreviations associated with the individual measures. Logistic regression was used to test the association between the traits and ASD status adjusting for gender. Traits were included as linear covariates. ORs are for one SD decrease in trait score. All data consists of at least one individual measure with observed data (from the 93 measures used to derive the factors or from the 4 measures included in the individual measure model) with missing data being imputed. Complete data consists of observed data only. R2 are reported as the increase in the explanation of the log-likelihood compared to a model involving gender only. Gender explained about 5% of the log likelihood in all models. The estimated relative contribution of each trait using All data were: 19%, 5%, 31%, 17%, 13%, 5% and 10% (Factors); and, 57%, 19%, 4% and 19% (individual measures). The factor model performed similarly to the individual measure model when restricted to the same sample (increase in R2 = 0.493, N = 11411).