Literature DB >> 18414090

Bone lead levels and blood pressure endpoints: a meta-analysis.

Ana Navas-Acien1, Brian S Schwartz, Stephen J Rothenberg, Howard Hu, Ellen K Silbergeld, Eliseo Guallar.   

Abstract

BACKGROUND: Previous reviews have shown increases in blood pressure and hypertension associated with increases in lead levels in blood. We performed a meta-analysis of the association of bone lead levels with systolic blood pressure, diastolic blood pressure, and hypertension using published data.
METHODS: We searched Medline, Embase, and Toxline for epidemiologic studies on bone lead levels and blood pressure endpoints. We used inverse-variance weighted random-effects models to summarize the association of tibia or patella lead levels with blood pressure endpoints.
RESULTS: We summarized data from 3 prospective studies and 5 cross-sectional studies. All studies measured lead levels in tibia bone and 3 studies measured lead levels in patella. For a 10 microg/g increase in tibia lead, the cross-sectional summary increases in blood pressure were 0.26 mm Hg for systolic (95% confidence interval = 0.02 to 0.50) and 0.02 mm Hg for diastolic (-0.15 to 0.19). The summary odds ratio for hypertension was 1.04 (1.01 to 1.07). For a 10 microg/g increase in patella lead, the summary odds ratio for hypertension was 1.04 (0.96 to 1.12).
CONCLUSION: Systolic blood pressure and hypertension risk were associated with lead levels in tibia bone, but the magnitude of the summary estimates was small. These summary estimates, however, were based on published data and we could not evaluate nonlinear dose-response relationships, the relative contribution of bone and blood lead levels, or the influence of differences in study populations. A more detailed characterization of the association of bone lead levels and blood pressure endpoints would require a pooled analysis of individual participant data from existing studies.

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Year:  2008        PMID: 18414090     DOI: 10.1097/EDE.0b013e31816a2400

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


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