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Table 4 Ratio of geometric means derived from regression models for specific PBDE congeners measured in maternal blood collected upon delivery

From: Predictors of serum concentrations of polybrominated flame retardants among healthy pregnant women in an urban environment: a cross-sectional study

 

PBDE 47

PBDE 99

PBDE 100

PBDE 153

# < LOD / Total observationsa

3 / 311

50 / 313

28 / 316

5 / 304

Model distribution

General Gamma

Log logistic

Log logistic

General Gamma

 

Ratio of geometric means (95% CI)

Ratio of geometric means (95% CI)

Ratio of geometric means (95% CI)

Ratio of geometric means (95% CI)

Race/ethnicity

    

 Non Hispanic White

1

   

 African-American

1.47 (0.95, 2.29)b

   

 Hispanic

1.21 (0.92, 1.57)

   

Maternal education

    

 Less than high school

1

1

 

1

 High school or equivalent

1.76 (1.30, 2.37)*

1.39 (0.98, 1.97)b

 

1.21 (0.92, 1.60)

 College

1.59 (1.20, 2.10)*

1.27 (0.93, 1.73)

 

1.42 (1.10, 1.83)**

 Graduate

1.45 (0.99, 2.12)b

1.00 (0.69, 1.45)

 

0.95 (0.67, 1.34)

Household income

    

 < $25,000

   

1

 $25,000 – 50,000

   

1.22 (0.93, 1.62)

 >$50,000

   

1.47 (1.15, 1.87)**

Pre-pregnancy BMI

    

 Normal

   

1

 Underweight

   

0.81 (0.57, 1.16)

 Overweight

   

0.99 (0.81, 1.21)

 Obese

   

0.65 (0.50, 0.85)**

Solid Dairy (reference:)

    

 < 5 servings per week

   

1

 5-10 servings per week

   

1.19 (0.97, 1.47)

 >10 servings per week

   

1.25 (1.01, 1.56)*

Processed Meat

    

 ≤1 serving per week

  

1

1

 Not reported

  

1.06 (0.79, 1.40)

1.14 (0.91, 1.44)

 >1 servings per week

  

1.39 (1.10,1.76)**

1.53 (1.26, 1.86)**

Household electronics

    

 < 10 electronics

1

1

1

1

 ≥ 10 electronics

1.70 (1.35, 2.13)**

1.41 (1.12, 1.77)**

1.37 (1.08, 1.74)**

1.32 (1.07, 1.63)**

 Generalized R2 c

12.2%

4.6%

5.7%

24.5%

  1. aSample size for each congener changes due to missing covariates.
  2. b0.05 < p < 0.09, *p < 0.05, ** p < 0.01.
  3. cGeneralized R2 indicates the proportion of variability in the data that is accounted for by the statistical model with multiple predictors.