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

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AX6-133<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 />

Glenn et al. (2003)<br />

U.S.-New Jersey<br />

1994-1998<br />

496 males, mean (SD, range) age<br />

55.8 (7.4, 40-71) yrs, working or<br />

<strong>for</strong>merly working at a plant<br />

producing tetraethyl or tetramethyl<br />

Pb until 1991, were followed from<br />

10 mos to 3.5 yrs during which<br />

blood pressure was repeatedly<br />

tested. Blood Pb was tested only at<br />

baseline. Tibia Pb was tested in<br />

1991 (at the end <strong>of</strong> organic Pb<br />

production at the plant) and called<br />

“peak tibia Pb” and again during<br />

1997 (yr 3). Generalized estimating<br />

equations with an exchangeable<br />

correlation structure <strong>for</strong> repeated<br />

measurements were used <strong>for</strong> systolic<br />

and diastolic blood pressure. One<br />

group <strong>of</strong> covariates was <strong>for</strong>ced into<br />

the model as a block (age at<br />

baseline, race, BMI, indicator<br />

variable <strong>for</strong> technician, Pb variable<br />

(linear blood Pb, peak tibia Pb, and<br />

tibia Pb each tested separately),<br />

duration <strong>of</strong> follow up, and the<br />

interaction between the Pb variable<br />

and the duration term. Potential<br />

confounding variables were entered<br />

stepwise and retained in the model if<br />

significant. Alternate models not<br />

using linear time were constructed,<br />

using quartile <strong>of</strong> follow up time to<br />

avoid assuming a linear relationship<br />

<strong>of</strong> change in blood pressure with<br />

time.<br />

Arithmetic mean (SD, range)<br />

blood Pb at baseline:<br />

4.6 µg/dL (2.6, !1 to 20)<br />

Tibia Pb at yr 3:<br />

14.7 µg/g (9.4, !1.6 to 52)<br />

Peak tibia Pb:<br />

24.3 µg/g (18.1, !2.2 to<br />

118.8)<br />

Controlling <strong>for</strong> baseline age, BMI, antihypertensive medication use, smoking,<br />

education, technician and number <strong>of</strong> yrs to each blood pressure measurement,<br />

each 1 µg/dL increase in linear baseline blood Pb was associated with avg<br />

systolic blood pressure increase <strong>of</strong> 0.64 mm Hg/yr (95% CI: 0.14, 1.14),<br />

each 10 µg/g increase in yr 3 tibia Pb with an avg increase <strong>of</strong> 0.73 mm Hg/yr<br />

(95% CI: 0.23, 1.23), and each increase <strong>of</strong> 10 µg/g <strong>of</strong> peak tibia Pb with an<br />

avg increase <strong>of</strong> 0.61 mm Hg/yr (95% CI: 0.09, 1.13). Similar results were<br />

obtained using the follow up time quartile designation <strong>for</strong> systolic blood<br />

pressure with all subjects and with subjects not taking antihypertensive<br />

medications.<br />

This was one <strong>of</strong> the few studies using a prospective design and that used a<br />

statistical technique accounting <strong>for</strong> repeated measures. No justification given<br />

<strong>for</strong> using an exchangeable correlation structure instead <strong>of</strong> an alternate one.<br />

Only examined cortical bone Pb (tibia) and not trabecular bone Pb (patella or<br />

calcaneus). Linear blood Pb may not be indicated <strong>for</strong> use in blood Pb-blood<br />

pressure models. Stepwise modeling involves multiple testing <strong>of</strong> the same<br />

data set with no control <strong>for</strong> altered probabilities. No model diagnostics<br />

presented.

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