TABLE 3—
Linear Regression Modeling Results Identifying Predictors of Blood Lead Concentrations: Baltimore Memory Study, Baltimore, Maryland, 2001–2005
| b (SE) | P | |
| Model 1, adjusted r2 = 13.6% | ||
| Intercept | 1.831 (0.170) | <.01 |
| Tibia lead, ln(μg/dL)/μg/g | 0.007 (0.002) | <.01 |
| Female gender, ln(μg/dL) | −0.413 (0.053) | <.01 |
| African American race/ethnicity, ln(μg/dL) | 0.019 (0.054) | .73 |
| Age, ln(μg/dL)/y | 0.007 (0.004) | .11 |
| Education, ln(μg/dL) | −0.002 (0.011) | .85 |
| Body mass index,a ln(μg/dL)/kg/m2 | −0.015 (0.004) | <.01 |
| Alcohol consumption past month, ln(μg/dL) | 0.126 (0.053) | .02 |
| Current smoker, ln(μg/dL) | 0.167 (0.069) | .01 |
| Dietary vitamin D, ln(μg/dL)/100 IU | −0.051 (0.017) | <.01 |
| Supplemental calcium, ln(μg/dL) | −0.102 (0.050) | .04 |
| Yale energy index, ln(μg/dL)/100 kcal/wk | 0.001 (0.0004) | <.01 |
| Yale vigorous activity index, ln(μg/dL)/unit | −0.005 (0.002) | <.01 |
| Model 2,b adjusted r2 = 14.0% | ||
| Intercept | 1.762 (0.173) | <.01 |
| Female, ln(μg/dL) | −0.291 (0.074) | <.01 |
| Yale vigorous activity index, ln(μg/dL)/unit | −0.0006 (0.002) | .79 |
| Female × Yale vigorous activity index, ln(μg/dL)/unit | −0.007 (0.003) | .02 |
| Model 3,b adjusted r2 = 13.9% | ||
| Intercept | 1.912 (0.174) | <.01 |
| Female, ln(μg/dL) | −0.490 (0.064) | <.01 |
| African American, ln(μg/dL) | −0.126 (0.089) | .15 |
| Female × African American, ln(μg/dL) | 0.226 (0.108) | .04 |
| Model 4,b,c adjusted r2 = 12.2% | ||
| Intercept | 1.595 (0.214) | <.01 |
| Taking hormone replacement therapy, ln(μg/dL) | −0.374 (0.065) | <.01 |
Note. ln = natural logarithm. Blood lead concentrations (μg/dL) were ln-transformed. Models were controlled for wealth (defined as the total dollar value of household assets plus total household income from visit 1 [in $10 000]) and self-reported history of kidney disease (yes vs no).
aBody mass index is weight in kilograms divided by height in meters squared.
bModels also included tibia lead concentration, gender, race/ethnicity, age, education, body mass index, tobacco consumption (nonsmoker, current smoker, and previous smoker), alcohol use in the past month (yes vs no), dietary vitamin D intake, supplemental calcium (yes vs no), Yale energy index, and Yale vigorous activity index.
cThis model was confined to women only.