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. 2018 Feb 23;15:33. doi: 10.1186/s12978-018-0469-8

Table 3.

Associations between urinary phthalate metabolite concentrations and serum AMH1 in multivariable linear models (n = 415)

Metabolite Model 14 Model 25
β (95% CI) β (95% CI)
MMP2
 16 (< 5.18) Ref Ref
 2 (5.18–12.21) − 0.06 (− 0.29, 0.17) 0.03 (− 0.19, 0.24)
 3 (12.21–25.78) − 0.10 (− 0.34, 0.14) 0.05 (− 0.17, 0.27)
 4 (> 25.78) 0.02 (− 0.22, 0.25) 0.04 (− 0.18, 0.26)
MEP2
 16 (< 6.02) Ref Ref
 2 (6.02–12.80) − 0.10 (− 0.35, 0.14) − 0.08 (− 0.30, 0.15)
 3 (12.80–33.98) − 0.05 (− 0.30, 0.20) − 0.10 (− 0.32, 0.13)
 4 (> 33.98) − 0.08 (− 0.33, 0.17) − 0.12 (− 0.34, 0.11)
MBP2
 16 (< 73.85) Ref Ref
 2 (73.85–184.55) 0.28 (0.04, 0.52) 0.18 (−0.03, 0.40)
 3 (184.55–342.12) 0.01 (− 0.24, 0.27) − 0.08 (− 0.31, 0.16)
 4 (> 342.12) 0.18 (− 0.10, 0.47) 0.11 (− 0.15, 0.37)
MBzP2
 16 (< 0.035) Ref Ref
 2 (0.035–0.102) 0.04 (−0.20, 0.27) 0.04 (−0.17, 0.26)
 3 (0.102–0.27) −0.06 (− 0.31, 0.20) 0.02 (− 0.21, 0.25)
 4 (> 0.27) 0.12 (−0.14, 0.38) 0.15 (−0.08, 0.38)
MEHP2
 16 (< 6.95) Ref Ref
 2 (6.95–17.21) 0.12 (−0.11, 0.35) 0.10 (−0.11, 0.31)
 3 (17.21–36.01) 0.06 (− 0.18, 0.31) 0.01 (−0.21, 0.24)
 4 (> 36.01) 0.20 (−0.05, 0.45) 0.16 (−0.07, 0.39)
MEHHP2
 16 (< 10.94) Ref Ref
 2 (10.94–19.09) 0.08 (−0.16, 0.33) 0.09 (−0.14, 0.31)
 3 (19.09–34.68) 0.12 (−0.15, 0.39) 0.12 (−0.13, 0.36)
 4 (> 34.68) 0.24 (−0.04, 0.52) 0.17 (−0.08, 0.43)
MEOHP2
 16 (< 7.41) Ref Ref
 2 (7.41–15.34) 0.02 (−0.22, 0.26) −0.03 (− 0.26, 0.19)
 3 (15.34–27.72) −0.03 (− 0.29, 0.22) − 0.05 (− 0.29, 0.18)
 4 (> 27.72) 0.16 (− 0.11, 0.44) 0.05 (− 0.21, 0.30)
∑DEHP2
 16 (< 0.10) Ref Ref
 2 (0.10–0.19) 0.14 (−0.10, 0.39) 0.07 (−0.15, 0.29)
 3 (0.19–0.35) 0.01 (−0.25, 0.26) −0.02 (− 0.25, 0.21)
 4 (> 0.35) 0.19 (−0.08, 0.46) 0.12 (− 0.13, 0.36)
MOP3 0.16 (−0.02, 0.34) 0.20 (0.04, 0.37)

Statistically significant results comparing a specific category to the reference are bolded

1Serum AMH levels were natural logarithm transformed

2Phthalate metabolite concentrations were categorized into quartiles

3Dichotomous variable based on above/below limits of detection

4Model 1 was adjusted for age, BMI and creatinine

5Model 2 was adjusted for age, BMI, creatinine and PCO/PCOS diagnosis (yes or no)

6Reference category