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

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AX6-140<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 />

Schwartz et al.<br />

(2000c)<br />

U.S.-Eastern<br />

1996-1997<br />

543 mostly <strong>for</strong>mer organolead<br />

workers, predominantly white<br />

(92.8%), at a tetraethyl/tetramethyl<br />

plant, mean (SD) [range] age 7.6 (7.6)<br />

[41.7-73.7] yrs had blood Pb, DMSAchelatable<br />

Pb (4-hr. urinary Pb<br />

excretion after a single 10 mg/kg dose<br />

<strong>of</strong> DMSA) measured <strong>for</strong> modeling<br />

systolic and diastolic blood pressure<br />

and hypertension (systolic >160<br />

mm Hg or diastolic ∃96 mm Hg or<br />

taking antihypertensive medications.<br />

Tibia Pb ~2 yrs later was also used as<br />

a Pb index. For blood pressure, linear<br />

multiple regression with backward<br />

elimination <strong>of</strong> non-significant<br />

covariates or covariates that “had<br />

important influence on the coefficients<br />

<strong>for</strong> the Pb-dose terms.” Each Pb<br />

variable was tested in a separate<br />

model. Potential covariates <strong>for</strong> these<br />

models were age, BMI, current<br />

tobacco use, and current use <strong>of</strong><br />

antihypertensive medications. Other<br />

models were constructed taking out<br />

those subjects using antihypertensive<br />

medications. Both linear and linear +<br />

quadratic blood and tibia Pb terms<br />

were tested. Logistic regression<br />

analyses were used to test the effect <strong>of</strong><br />

the Pb variables on hypertension,<br />

controlling <strong>for</strong> age, diabetes, lifetime<br />

alcohol consumption, and BMI.<br />

Logistic models also tested each Pb<br />

measure in interaction with age.<br />

Blood Pb arithmetic<br />

mean (SD, range):<br />

4.6 µg/dL (2.6, 1<br />

to 20)<br />

DMSA-chelatable Pb<br />

mean (SD, range):<br />

19.0 µg (16.6, 1.2<br />

to 136)<br />

Tibia Pb mean (SD,<br />

range): 14.4 µg/g<br />

(9.3, !1.6 to 52)<br />

Adjusting <strong>for</strong> age, BMI, current smoking, and current use <strong>of</strong> antihypertensive medications,<br />

each 1 µg/dL increase in blood Pb-squared was significantly associated with 0.189 mm Hg<br />

(95% CI: 0.087, 0.330) increase in systolic blood pressure with three outliers removed.<br />

With the same covariates, each 1 µg/dL increase in linear blood Pb was significantly<br />

associated with 0.310 mm Hg (95% CI: 0.028, 0.592) in diastolic blood pressure taken<br />

over a 2-yr period (n = 525). No other Pb variables were significant.<br />

For the hypertension models, only the interaction <strong>of</strong> linear blood Pb by age was significant,<br />

with subjects showing significant decrease in odds ratio <strong>of</strong> hypertension with every joint<br />

increase <strong>of</strong> 1 µg/dL blood Pb and 1 yr increase in age (linear blood Pb X age OR = 0.98;<br />

[95% CI: 0.97, 0.99]). The interaction suggested a concentration-response relationship<br />

between linear blood Pb and hypertension only up to ~58 yrs <strong>of</strong> age.<br />

Authors note that blood pressure findings “were not affected by exclusion or inclusion <strong>of</strong><br />

subjects using antihypertensive medications,” but do not present either the data or the<br />

statistical tests to evaluate that conclusion. No other model diagnostics were reported.<br />

Although blood Pb was also modeled as a quadratic Pb term <strong>for</strong> systolic blood pressure, no<br />

analysis was shown <strong>for</strong> non-linear blood Pb terms <strong>for</strong> diastolic blood pressure.<br />

Trabecular bone Pb was not tested, though other studies indicate that it is a better Pb index<br />

than cortical Pb <strong>for</strong> cross-sectional blood pressure and hypertension study.<br />

Although the backward procedures described could have resulted in less than the full set <strong>of</strong><br />

considered covariates entering the models, all model presentations were limited to showing<br />

the Pb coefficients and all models indicated in a footnote that the Pb coefficients were<br />

adjusted <strong>for</strong> each possible covariate <strong>for</strong> that model. While this is possible with the short<br />

list <strong>of</strong> covariates, given the 14 models presented one might expect to see at least one model<br />

where one <strong>of</strong> the covariates did not remain.

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