. Author manuscript; available in PMC: 2018 May 29.

Published in final edited form as: J Expo Sci Environ Epidemiol. 2016 Dec 14;27(3):313–319. doi: 10.1038/jes.2016.74

Table 2.

Regression analysis for cord blood arsenic, metabolites and birth weight.

Biochemical metabolite	Pathway	Arsenic on metabolite		Metabolite on birth weight		Mediation analysis

		β (95% CI)^a	P(q)^b	β (95% CI)^a	P(q)	IE (95% CI)^a	P-value
Laurate (12:0)	Medium chain fatty acid	0.29 (0.05, 0.54)	0.0211 (0.1283)	−51.57 (−99.26, −3.87)	0.0350	−17.46 (−50.99, 7.14)	0.176
17-Methylstearate	Fatty acid, branched	0.22 (0.02, 0.41)	0.0296 (0.0079)	−61.93 (−114.98, −8.89)	0.0236	−17.76 (−39.51, −1.40)	0.024
4-Vinylphenol sulfate	Benzoate metabolism	0.36 (0.10, 0.63)	0.0095 (0.0382)	−57.56 (−105.70, −9.43)	0.0207	−27.43 (−81.17, 3.12)	0.098

Regression coefficient (β), indirect effect (IE) and 95% confidence intervals (95% CI) were rescaled per SD of arsenic with adjustment for birth gestational age, gender, and maternal education level by corresponding regression models.

q represents the adjusted P-value by multiple linear regression involving the cooperation of the three metabolites simultaneously.