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Air Quality Criteria for Lead Volume II of II - (NEPIS)(EPA) - US ...

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AX6-142<br />

Table AX6-5.1 (cont’d). Effects <strong>of</strong> <strong>Lead</strong> on Blood Pressure and Hypertension<br />

Reference, Study<br />

Location, and<br />

Period Study Description Pb Measurement Findings, Interpretation<br />

United States (cont’d)<br />

Sokas et al. (1997)<br />

U.S.-Maryland<br />

1989-1990<br />

Sorel et al. (1991)<br />

U.S.-NHANES <strong>II</strong><br />

1976-1980<br />

264 active or retired construction<br />

workers, over 99% men, who were not<br />

involved in Pb work at time <strong>of</strong> testing,<br />

mean age (range) 43 yrs (18-79).<br />

Multiple regression modeling <strong>of</strong><br />

systolic and diastolic blood pressure<br />

adjusted <strong>for</strong> covariates <strong>of</strong> BMI, age,<br />

hematocrit, erythrocyte<br />

protoporphyrin, race, linear blood Pb<br />

and a race-linear blood Pb interaction.<br />

Method <strong>of</strong> covariate entry not made<br />

explicit, though it appeared to be<br />

<strong>for</strong>ced.<br />

2056 females, 2044 males, 473 blacks<br />

and 3627 whites, from 18-74 yrs, were<br />

used in survey design and weight<br />

adjusted multiple linear regressions<br />

stratified by sex, with separate models<br />

<strong>for</strong> systolic and diastolic blood<br />

pressure. Covariates included age,<br />

BMI, race, and poverty income ratio<br />

and linear blood Pb. Method <strong>of</strong><br />

covariate entry not specified but may<br />

have been <strong>for</strong>ced. Different covariate<br />

groups were used <strong>for</strong> different models.<br />

Primary test <strong>for</strong> the effect <strong>of</strong> race on<br />

the Pb-blood pressure relationship was<br />

to note the change in the race<br />

coefficient in models with and without<br />

the linear blood Pb variable.<br />

Mean blood Pb<br />

(range): 8.0 µg/dL<br />

(1-30)<br />

Age-adjusted<br />

arithmetic mean<br />

blood Pb:<br />

Black female:<br />

13.2 µg/dL (no<br />

variance in<strong>for</strong>mation<br />

<strong>for</strong> any blood Pb)<br />

White female:<br />

12.1 µg/dL<br />

Black male:<br />

20.1 µg/dL<br />

White male:<br />

16.8 µg/dL<br />

Linear blood Pb was not significantly related to either systolic or diastolic blood<br />

pressure, though the race by linear blood Pb interaction was marginally significant<br />

(p = 0.09). Each 1 µg/dL increase in blood Pb increased black systolic blood pressure<br />

0.86 mm Hg (no SE or 95% CI reported) more than white systolic blood pressure.<br />

Linear blood Pb term may not be appropriate. Small sample compromises<br />

interpretation <strong>of</strong> non-significant results. By using erythrocyte protoporphyrin and<br />

blood Pb in the same model, these two measures <strong>of</strong> Pb exposure may have been<br />

confounded. Incomplete reporting <strong>of</strong> procedures and results. No model diagnostic<br />

tests reported.<br />

Linear blood Pb was significantly related only to diastolic blood pressure in males,<br />

adjusting <strong>for</strong> age and BMI. For every 1 µg/dL blood Pb increase diastolic blood<br />

pressure increased 0.13 mm Hg (95% CI: 0.04, 0.21). Adding race to the model with<br />

and without linear blood Pb terms did not appear to change the race coefficient.<br />

Adding poverty index to the models with and without blood Pb produced the same<br />

small change in poverty index coefficient.<br />

Linear blood Pb may not be appropriate. Only confidence intervals were used to<br />

assess the significance <strong>of</strong> changes in race and poverty index coefficients across<br />

models with and without Pb, instead <strong>of</strong> using interaction terms <strong>of</strong> these two variables<br />

with Pb. Incomplete reporting <strong>of</strong> procedures and results. No model diagnostic tests<br />

reported.

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