Generalized Mantel-Haenszel analysis of the regression of blood pressure on blood lead using NHANES II data

Journal Article · Wed Jun 01 00:00:00 EDT 1988 · Environ. Health Perspect.; (United States)

DOI:https://doi.org/10.1289/ehp.887835· OSTI ID:6345645

Landis, J R; Flegal, K M

This paper proposes an alternative analysis of the statistically significant blood pressure/blood lead relationship reported for males, ages 12 to 74, based on data from the second National Health and Nutrition Examination Survey. Because of the substantial decline, both for blood lead levels and blood pressures, during the 4-year survey period, there is considerable interest in the extent to which this association can be attributed to concurrent secular trends. The statistical methods illustrate the use of a randomization model-based approach to testing the statistical significance of the partial correlation between blood lead level and diastolic blood pressure, adjusting for age, body mass index, and the 64 sampling sites. The resulting analyses confirm that the significant linear association between blood lead levels and diastolic blood pressures cannot be dismissed as a spurious association due to concurrent secular trends in the two variables across the 4-year survey period. In a conservative approach to this investigation, a randomization model-based test statistic, using the actual level of the natural log of blood lead and diastolic blood pressure, remained statistically significant at the 5% level, even when averaging the association across 478 subgroups formed by the cross-classification of age, body mass index, and the 64 sampling sites.

• Research Organization: Univ. of Michigan, Ann Arbor (USA)
• OSTI ID: 6345645
• Journal Information: Environ. Health Perspect.; (United States), Vol. 78
• Country of Publication: United States
• Language: English

Related Subjects

63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.
BLOOD PRESSURE
DOSE-RESPONSE RELATIONSHIPS
LEAD COMPOUNDS
BIOLOGICAL EFFECTS
BLOOD CHEMISTRY
AGE DEPENDENCE
DEMOGRAPHY
HUMAN POPULATIONS
STATISTICS
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MATHEMATICS
NORTH AMERICA
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