Literature DB >> 16551479

What is the meaning of non-linear dose-response relationships between blood lead concentrations and IQ?

Teresa S Bowers1, Barbara D Beck.   

Abstract

Recent literature [e.g. Canfield RL, Henderson CR, Cory-Slechta DA, Cox C, Jusko TA, Lanphear BP. Intellectual impairment in children with blood lead concentrations below 10mg per deciliter. New Engl J Med 2003;348(16):1517-1526; Lanphear BP, Hornung R, Khoury J, Yolton K, Baghurst P, Bellinger DC, Canfield RL, Dietrich KN, Bornschein R, Greene T, Rothenberg SJ, Needleman HL, Schnaas L, Wasserman G, Graziano J, Roberts R. Low-level environmental lead exposure and children's intellectual function: an international pooled analysis. Environ Health Perspect 2005;113(7):894-899] has suggested the existence of a supra-linear dose-response relationship between environmental measures such as blood lead concentrations and IQ. This communication explores the mathematical requirements placed on such dose-response relationships when the environmental measure, or independent variable, is lognormally distributed and the effect, or dependent variable, is normally distributed. Results of the analyses show that a supra-linear slope is a required outcome of correlations between data distributions where one is lognormally distributed and the other is normally distributed. The analysis shows that caution should be taken in assigning biological significance to supra-linear dose-response relationships in these instances. Detailed analyses of such data sets should be conducted to determine if the magnitude of supra-linear slopes are more or less than mathematically required, and from there to consider biological significance.

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Year:  2006        PMID: 16551479     DOI: 10.1016/j.neuro.2006.02.001

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


  7 in total

1.  Response to: "What is the meaning of non-linear dose-response relationships between blood lead concentrations and IQ?".

Authors:  Todd A Jusko; David W Lockhart; Paul D Sampson; Charles R Henderson; Richard L Canfield
Journal:  Neurotoxicology       Date:  2006-09-15       Impact factor: 4.294

2.  Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes.

Authors:  Naveen N Narisetty; Bhramar Mukherjee; Yin-Hsiu Chen; Richard Gonzalez; John D Meeker
Journal:  Stat Med       Date:  2018-12-26       Impact factor: 2.373

Review 3.  Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders.

Authors:  Maureen Dennis; David J Francis; Paul T Cirino; Russell Schachar; Marcia A Barnes; Jack M Fletcher
Journal:  J Int Neuropsychol Soc       Date:  2009-05       Impact factor: 2.892

Review 4.  The protean toxicities of lead: new chapters in a familiar story.

Authors:  David C Bellinger
Journal:  Int J Environ Res Public Health       Date:  2011-06-27       Impact factor: 3.390

Review 5.  Persistent Organic Pollutants and Type 2 Diabetes: A Critical Review of Review Articles.

Authors:  Yu-Mi Lee; David R Jacobs; Duk-Hee Lee
Journal:  Front Endocrinol (Lausanne)       Date:  2018-11-27       Impact factor: 5.555

6.  Environmental Health Sciences in a Translational Research Framework: More than Benches and Bedsides.

Authors:  Joel D Kaufman; Cynthia L Curl
Journal:  Environ Health Perspect       Date:  2019-04       Impact factor: 9.031

Review 7.  Mitochondrial Toxins and Healthy Lifestyle Meet at the Crossroad of Hormesis.

Authors:  Yu Mi Lee; Duk Hee Lee
Journal:  Diabetes Metab J       Date:  2019-10       Impact factor: 5.376

  7 in total

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