Literature DB >> 10412957

Relations between individual and neighborhood-based measures of socioeconomic position and bone lead concentrations among community-exposed men: the Normative Aging Study.

S Elreedy1, N Krieger, P B Ryan, D Sparrow, S T Weiss, H Hu.   

Abstract

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.

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Year:  1999        PMID: 10412957     DOI: 10.1093/oxfordjournals.aje.a009972

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  15 in total

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Authors:  A V Diez Roux
Journal:  Am J Public Health       Date:  2001-11       Impact factor: 9.308

2.  Childhood and adult socioeconomic position, cumulative lead levels, and pessimism in later life: the VA Normative Aging Study.

Authors:  Junenette L Peters; Laura D Kubzansky; Ai Ikeda; Avron Spiro; Robert O Wright; Marc G Weisskopf; Daniel Kim; David Sparrow; Linda H Nie; Howard Hu; Joel Schwartz
Journal:  Am J Epidemiol       Date:  2011-11-09       Impact factor: 4.897

3.  Expanding the scope of environmental risk assessment to better include differential vulnerability and susceptibility.

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4.  Exploring potential sources of differential vulnerability and susceptibility in risk from environmental hazards to expand the scope of risk assessment.

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Review 5.  Use of geocoding and surname analysis to estimate race and ethnicity.

Authors:  Kevin Fiscella; Allen M Fremont
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

6.  A Western Diet Pattern Is Associated with Higher Concentrations of Blood and Bone Lead among Middle-Aged and Elderly Men.

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Journal:  J Nutr       Date:  2017-06-07       Impact factor: 4.798

7.  Bone lead level prediction models and their application to examine the relationship of lead exposure and hypertension in the Third National Health and Nutrition Examination Survey.

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Journal:  J Occup Environ Med       Date:  2009-12       Impact factor: 2.162

8.  Social and Environmental Risk Factors for Hypertension in African Americans.

Authors:  Selina Rahman; Howard Hu; Eileen McNeely; Saleh M M Rahman; Nancy Krieger; Pamela Waterman; Junenette Peters; Cynthia Harris; Cynthia H Harris; Deborah Prothrow-Stith; Brian K Gibbs; Perry C Brown; Genita Johnson; Angela Burgess; Richard D Gragg
Journal:  Fla Public Health Rev       Date:  2008-01-01

9.  Air pollution and heart rate variability: effect modification by chronic lead exposure.

Authors:  Sung Kyun Park; Marie S O'Neill; Pantel S Vokonas; David Sparrow; Robert O Wright; Brent Coull; Huiling Nie; Howard Hu; Joel Schwartz
Journal:  Epidemiology       Date:  2008-01       Impact factor: 4.822

10.  Gender and race/ethnicity differences in lead dose biomarkers.

Authors:  Keson Theppeang; Thomas A Glass; Karen Bandeen-Roche; Andrew C Todd; Charles A Rohde; Brian S Schwartz
Journal:  Am J Public Health       Date:  2008-05-29       Impact factor: 9.308

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