Relations between individual and neighborhood-based measures of socioeconomic position and bone lead concentrations among community-exposed men: the Normative Aging Study.
To examine the association between lead exposure and both individual and geographic area indicators of socioeconomic position, the authors measured tibia lead concentration, a biomarker of cumulative lead exposure, using K x-ray fluorescence in a cross-sectional survey of 538 white males aged 50-92 years who were healthy when enrolled in the Normative Aging Study (Boston, Massachusetts) in the 1960s. Data on individual risk factors, education, occupation, and income were collected by questionnaire. Using subjects' residential addresses at the time of the tibia lead measurements, the authors obtained geographic area-specific measures of education, social class, and poverty by linking records to 1990 US Census block group data. In multivariate linear regression analysis controlling for age and cumulative smoking, tibia lead concentrations were 10.39 microg/g (95% confidence interval (CI) 7.80-12.97) higher in men who did not graduate from high school than in men with > or =4 years of college. Among the former men (non-high school graduates), living in an undereducated area was associated with a 9.28 microg/g (95% CI 1.59-16.97) increase in tibia lead level compared with living in a non-undereducated area; among the latter men (college graduates), no difference existed by residential area education (beta = 0.72, 95% CI -5.35 to 6.78). The authors conclude that the influence of individual socioeconomic position on cumulative lead exposure is modified by geographic area conditions.
Elreedy
S
S
Environmental Science and Engineering Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Krieger
N
N
Ryan
P B
PB
Sparrow
D
D
Weiss
S T
ST
Hu
H
H
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000378:metabolism*; D001842:Bone and Bones / Q000378:metabolism*; D001900:Boston / Q000453:epidemiology; D004522:Educational Status; D004781:Environmental Exposure / Q000009:adverse effects*; D006801:Humans; D007182:Income; D007854:Lead / Q000009:adverse effects / Q000378:metabolism*; D016014:Linear Models; D008297:Male; D008498:Medical Record Linkage; D008875:Middle Aged; D015999:Multivariate Analysis; D012111:Residence Characteristics; D012959:Socioeconomic Factors; D013977:Tibia / Q000378:metabolism
D007854:Lead