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. Author manuscript; available in PMC: 2013 Nov 6.
Published in final edited form as: Environ Sci Technol. 2012 Oct 16;46(21):12146–12153. doi: 10.1021/es302638d

Table 2.

Univariate linear regression of ΣHBCDs human milk samples potential predictors from the questionnaire.

Predictor Full Dataset
College Graduates Only
Multiplicative Increase (95% CI) n Multiplicative Increase (95% CI) n
Number of Electronics in the Home
 Stereo & Video Items 1.17 (1.04 – 1.31) 43 1.17 (1.03 – 1.34) 39
  Televisions 1.18 (0.93 – 1.49) 43 1.21 (0.92 – 1.56) 39
  Stereo & Video Items other than Televisions 1.22 (1.05 – 1.43)* 43 1.19 (1.01 – 1.41)* 39
Carpeted home
 No Reference 17 Reference 15
 Yes 1.39 (0.84 – 2.29) 26 1.35 (0.80 – 2.27) 24
Regularly uses public transportation
 No Reference 28 Reference 26
 Yes 0.71 (0.43 – 1.18) 15 0.67 (0.40 – 1.14) 13
Regularly eats organic
 No Reference 17 Reference 13
 Yes 0.51 (0.32 – 0.82)* 26 0.55 (0.33 – 0.91) 26
Race
 Not White Reference 5 Reference 3
 White 0.51 (0.24 – 1.07) 38 0.62 (0.24 – 1.59) 36
Highest completed education
 High school Reference 4 NA 0
 College 0.50 (0.22 – 1.44) 39 NA 39
*

Statistically significant at the α = 0.05 level.

Coefficients represent the multiplicative increase in breast milk concentrations per item (for continuous variables) or relative to the reference group (for categorical variables).