Literature DB >> 8247397

Beyond LOEL's, p values, and vote counting: methods for looking at the shapes and strengths of associations.

J Schwartz1.   

Abstract

Determining the shape of dose-response relationships, including the possible existence of thresholds, is a central concern in the epidemiology of neurotoxins. Assessing the strengths of associations within a paper, and for the literature as a whole, are also critical concerns. Modern statistical and epidemiologic methods have considerable advantages for answering these questions. This is illustrated by using non-parametric smoothing to look for the existence of thresholds or non-linearities in the neurotoxic effects of lead, the use of multiple analyses and robust methods to test the stability of the association between dentine lead and children's IQ in the study of Needleman et al., 1979, and the examination of the stability of the association between full scale IQ and blood lead across studies. Non-parametric smoothing shows the dose response relationship between McCarthy score and blood lead reported by Bellinger et al., (1991) has no threshold down to blood lead levels of 1 microgram/dl. The association between blood lead and hearing threshold reported by Schwartz and Otto (1991) also has no threshold down to the lowest concentrations seen in that study. The association between dentine lead and IQ in the Needleman et al. (1979) data holds in the full data set with no exclusions and with control for age, is insensitive to exclusions of subjects or inclusions of other covariates, and to the use of robust estimation techniques. Nonparametric smoothing shows the association is supported across the entire range of lead exposure and is not driven by a few outliers. Examination of effect size estimates from the IQ-blood lead studies shows moderately good concordance. This suggests a causal relationship. A meta-analysis of those studies indicates that an increase in blood lead from 10 micrograms/dl to 20 micrograms/dl is associated with a reduction of 2.5 points in full scale IQ. The effect was highly significant.

Entities:  

Mesh:

Year:  1993        PMID: 8247397

Source DB:  PubMed          Journal:  Neurotoxicology        ISSN: 0161-813X            Impact factor:   4.294


  12 in total

1.  Intellectual impairment in children with blood lead concentrations below 10 microg per deciliter.

Authors:  Richard L Canfield; Charles R Henderson; Deborah A Cory-Slechta; Christopher Cox; Todd A Jusko; Bruce P Lanphear
Journal:  N Engl J Med       Date:  2003-04-17       Impact factor: 91.245

2.  What level of lead in blood is toxic for a child?

Authors:  Herbert L Needleman; Philip J Landrigan
Journal:  Am J Public Health       Date:  2004-01       Impact factor: 9.308

3.  Standing up to the lead industry: an interview with Herbert Needleman. Interview by David Rosner and Gerald Markowitz.

Authors:  Herbert Needleman
Journal:  Public Health Rep       Date:  2005 May-Jun       Impact factor: 2.792

4.  Early childhood lead exposure and academic achievement: evidence from Detroit public schools, 2008-2010.

Authors:  Nanhua Zhang; Harolyn W Baker; Margaret Tufts; Randall E Raymond; Hamisu Salihu; Michael R Elliott
Journal:  Am J Public Health       Date:  2013-01-17       Impact factor: 9.308

5.  The Relationship of Neighborhood Socioeconomic Differences and Racial Residential Segregation to Childhood Blood Lead Levels in Metropolitan Detroit.

Authors:  Heather A Moody; Joe T Darden; Bruce Wm Pigozzi
Journal:  J Urban Health       Date:  2016-10       Impact factor: 3.671

Review 6.  Dietary calcium supplementation to lower blood lead levels in pregnancy and lactation.

Authors:  Adrienne S Ettinger; Howard Hu; Mauricio Hernandez-Avila
Journal:  J Nutr Biochem       Date:  2007-03       Impact factor: 6.048

Review 7.  The challenge of mechanism-based modeling in risk assessment for neurobehavioral end points.

Authors:  D Hattis
Journal:  Environ Health Perspect       Date:  1996-04       Impact factor: 9.031

8.  Blood lead levels among pregnant women: historical versus contemporaneous exposures.

Authors:  Marie Lynn Miranda; Sharon E Edwards; Geeta K Swamy; Christopher J Paul; Brian Neelon
Journal:  Int J Environ Res Public Health       Date:  2010-04-01       Impact factor: 3.390

9.  Environmental contributors to the achievement gap.

Authors:  Marie Lynn Miranda; Dohyeong Kim; Jerome Reiter; M Alicia Overstreet Galeano; Pamela Maxson
Journal:  Neurotoxicology       Date:  2009-07-28       Impact factor: 4.294

10.  Economic gains resulting from the reduction in children's exposure to lead in the United States.

Authors:  Scott D Grosse; Thomas D Matte; Joel Schwartz; Richard J Jackson
Journal:  Environ Health Perspect       Date:  2002-06       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.