Relationship of blood lead levels to blood pressure in battery workers

Arch Environ Health. 1996 Jul-Aug;51(4):324-8. doi: 10.1080/00039896.1996.9936033.

Abstract

The effect of lead exposure on blood pressure in the modern industrial setting is controversial. In this study, we followed 67 workers in a lead-battery plant for 6-10 y, and blood pressure and blood lead levels were measured every 6 mo. Weight, height, alcohol intake, cigarette smoking, and age were recorded. Partial correlation coefficients showed that initial systolic blood pressure, age, and body mass index (i.e., weight/height squared) accounted for 25%, 30.9%, and 20.2%, respectively, of the variance in systolic blood pressure (p < .001 in all cases). Conversely, average blood lead levels (13 +/- 3 tests/worker) accounted for only 0.4% of the variance (not significant). Repeated-measures analysis of variance showed a small--but significant--association between blood lead levels and systolic blood pressure. There was a negative correlation between blood lead levels and diastolic blood pressure. There were 18 men with average blood lead levels that were less than 30 micrograms/dl (average = 25 +/- 3 micrograms/dl), and 32 men had levels of 40 micrograms/dl or more (average = 47 +/- 6 micrograms/dl). The mean final systolic blood pressure, adjusted for age, and initial systolic blood pressure were 117 +/- 13 mm Hg and 114 +/- 11 mm Hg, respectively. We concluded that blood lead levels had no clinically significant effect on blood pressure in lead-battery workers. The main predictors of the follow-up systolic blood pressure were age, body mass index, and initial systolic blood-pressure measurements.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Analysis of Variance
  • Blood Pressure / drug effects*
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • Humans
  • Israel
  • Lead / adverse effects
  • Lead / blood*
  • Male
  • Occupational Exposure / adverse effects*
  • Occupational Exposure / analysis
  • Occupational Exposure / statistics & numerical data
  • Prospective Studies
  • Time Factors

Substances

  • Lead