Research Article
Do US Ambient Air Lead Levels Have a Significant Impact on Childhood Blood Lead Levels: Results of a National Study
Table 4
Multivariate negative binomial regression using robust variance estimation predicting number of children with BLL ≥ 10 μg/dL per US county.
| Negative binomial regression | Variables | Relative risk | Robust SE | P value | 95% CI |
| NATA* | 1.36 | 0.176 | 0.017 | (1.06, 1.75) | % pre50 housing | 1.05 | 0.002 | 0.000 | (1.04, 1.05) | Urban-rural | | | | | Urban | (reference) | | | | Suburban | 0.86 | 0.135 | 0.337 | (0.63, 1.17) | Rural | 0.66 | 0.110 | 0.013 | (0.48, 0.92) | % Black | 1.01 | 0.002 | 0.000 | (1.00, 1.01) | Targeted/mandatory testing | 0.64 | 0.041 | 0.000 | (0.56, 0.72) |
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Note: the predictor of NATA05 air lead was scaled to 100* (the original NATA05 air lead).
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