Table 4.
Examination of whether birth weight (g) mediates the association of maternal o,p’-DDT and the adiposity levels of middle-aged daughters of the CHDS cohort using linear regression models. Mediation was determined using the method of Valeri and Vanderweele.35
| Waist Circumference, cm (n=511 daughters) |
Body Mass Index, kg/m2 (n=508 daughters) |
|||
|---|---|---|---|---|
| Direct effect beta1 (95% CI) | Indirect effect beta2 (95% CI) | Direct effect beta1 (95% CI) | Indirect effect beta2 (95% CI) | |
| Unadjusted Model3 | 2.28 (0.43, 4.12) |
−0.12 (−0.33, 0.08) |
1.14 (0.31, 1.96) |
−0.04 (−0.12, 0.03) |
| Adjusted Multivariable Model4 | 2.02 (0.07, 3.99) |
−0.10 (−2.06, 1.85) |
0.97 (−0.98, 2.93) |
−0.02 (−1.99, 1.94) |
Direct effect beta is the estimate of the ln o,p’-DDT (ng/ml) effect
Indirect effect beta is the estimate of the mediation effect of birth weight (g)
Unadjusted model includes ln o,p’-DDT (ng/ml) with birth weight (g) as a mediator. Interaction was not significant thus not presented.
Adjusted model (equivalent to Model 3 in Table 2) log o,p’-DDT with birth weight (g) as a mediator, adjusting for Maternal BMI, Maternal education (less than high school or other), Maternal country of birth (USA or other), daughters’ menopause presence, daughters’ weekly exercise, and daughters’ presence of thyroid conditions. Interaction was not significant thus not presented.