Table 3.

Conditional logistic regression results on the association between clinical variables and the odds of ASD among all subjects (n = 342 or 171 pairs).

Variable	Levels	Non-ASD	ASD	OR	95% CI	p value
Cumulative dose of sOT	0 mU	70	66	1
	1st level	44	25	0.64	0.30–1.37	0.252
	2nd level	34	35	1.41	0.65–3.06	0.381
	3rd level	23	45	2.31	1.03–5.19	0.043
Maximum dose rate	0 mU/min	70	66	1
	1st level	37	28	0.82	0.40–1.72	0.614
	2nd level	37	34	1.29	0.61–2.74	0.505
	3rd level	27	43	1.82	0.85–3.86	0.121
Time of exposure	0 min	70	66	1
	1st level	45	24	0.63	0.29–1.35	0.237
	2nd level	31	38	1.48	0.71–3.01	0.296
	3rd level	25	43	2.25	0.96–5.24	0.060

All variables are categorical and coded so that OR > 1 indicates higher odds of ASD. Variables controlled for were maternal hypertension, maternal diabetes, maternal education, indication for delivery (including fetal indications), birth weight, maternal body mass index, mode of delivery, child race, smoking during pregnancy, alcohol use during pregnancy, and paternal age. The exposure variables (cumulative dose of sOT, maximum dose rate, and time of exposure) were run in separate models. Each model consisted of the exposure variable, covariates, and the outcome. ASD: autism spectrum disorder; OR: odds ratio; CI: confidence interval; sOT: synthetic oxytocin.