. Author manuscript; available in PMC: 2019 Apr 18.

Published in final edited form as: J Autism Dev Disord. 2015 Mar;45(3):719–730. doi: 10.1007/s10803-014-2227-2

Table 5.

Odds ratios and 95 % confidence intervals associated with quartiles of maternal and newborn TSH concentrations, the EMA study

	ASD versus GP^a	ASD w/regression versus GP^a	Early Onset ASD versus GP^a	ASD versus DD^b	DD versus GP^b
Maternal serum TSH
Second quartile	0.41 [0.15–1.12]	0.29 [0.02–3.73]	0.53 [0.18–1.54]	0.78 [0.19–3.27]	0.57 [0.15–2.08]
Third quartile	0.38 [0.15–0.98]	1.32 [0.15–11.8]	0.35 [0.13–0.98]	0.60 [0.13–2.71]	0.49 [0.13–1.83]
Upper quartile	0.4 [0.16–1.02]	0.6 [0.05–6.97]	0.41 [0.15–1.13]	1.34 [0.25–7.30]	0.22 [0.05–0.94]
Neonatal bloodspot TSH
Second quartile	0.83 [0.31–2.19]	0.57 [0.05–5.96]	0.88 [0.31–2.49]	1.48 [0.31–7.20]	0.35 [0.11–1.18]
Third quartile	1.1 [0.43–2.8]	1.19 [0.18–7.83]	0.96 [0.33–2.74]	2.25 [0.42–12.07]	0.26 [0.07–0.98]
Upper quartile	0.88 [0.33–2.34]	0.91 [0.12–6.96]	0.92 [0.32–2.66]	2.18 [0.47–10.20]	0.55 [0.16–1.89]

Conditional logistic regression (maternal models): adjusted model uses mother’s age, mother’s race (white, Asian, other), Hispanic (yes/no), mother’s place of birth (US, Mexico, Other), and mother’s weight at blood draw. Maternal models also adjust for gestational age at maternal blood draw, while Neonatal models adjust for gestational age at birth and baby’s age at blood draw. Unadjusted models also use conditional logistic regression, accounting for matching by sex, birth month, and birth year

Unconditional logistic regression: adjusted for birth month, birth year, and sex as well as above confounders