[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/KJAS.2012.25.3.389

Determining a BMDL of Blood Lead Based on ADHD Scores Using a Semi-Parametric Regression

Kim, Ah-Hyoun (Department of Applied Statistics, Yonsei University)
Ha, Min-A (College of Medicine, Dankook University)
Kim, Byung-Soo (Department of Applied Statistics, Yonsei University)

Publication Information

The Korean Journal of Applied Statistics / v.25, no.3, 2012 , pp. 389-401 More about this Journal

Abstract

This paper derives a benchmark dose(BMD) and its 95% lower confidence limit(BMDL) using a semi-parametric regression model for small lead based changes in attention-deficit hyperactivity disorder(ADHD) scores in the first wave of the Children's Health and Environment Research(CHEER) survey data, which have been regularly collected in South Korea since 2005. Ha et al. (2009) showed that the appearance of ADHD symptoms had a borderline trend of increasing with the blood lead concentration. Butdz-J ${\o}$ rgensen (EFSA, 2010a) derived the BMDL of lead corresponding to a benchmark region of 1 full intelligent quotient (IQ) score using the raw data in Lanphear et al. (2005, EHP). European Food Safety Authority (EFSA, 2010b) determined the BMDL of $1.2{\mu}g/dl$ as a reference point for the characterization of lead when assessing the risk of the intellectual deficit measured by IQ scores. Kim et al. (2011) indicated that an even lower BMDL could be obtained based on the ADHD score; however, the BMDLs depended heavily upon the model assumptions. We show in this paper that a semi-parametric approach resolves the model dependence of BMDLs.

Keywords

Attention deficit hyperactivity disorder; benchmark dose lower limit; reference point; semi-parametric regression;

Citations & Related Records

Reference

1	WHO (1995). Environmental Health Criteria 165-Inorganic Lead. Geneva: International Programme on Chemical Safety, World Health Organization.
2	Lanphear, B. P., Hornung, R., Khoury, J., Yolton, K., Baghurst, P., Bellinger, D. C., Caneld, R. L., Dietrich, K. N., Bornschein, R., Green, T., Rothenberg, S. J., Needleman, H. L., Schnaas, L., Wasserman, G., Graziano, J. and Roberts, R. (2005). Low-level environmental lead exposure and children's intellectual function: an international pooled analysis, Environmental Health Perspectives, 113, 854-899.
3	Ruppert, D., Wand, M. P. and Carroll, R. J. (2003). Semiparametric Regression, Cambridge University Press, New York.
4	So, Y. K., Kim, Y. S., Choi, N. K., Kim, S. J., Non, J. S. and Ko, Y. J. (2003). The reliability and validity of Korean Conner's parent and teacher rating scale, J Child Adolesc Psychiatry, 14, 183-194.
5	US CDC (1991). Preventing Lead Poisoning in Young Children: A Statement by the Centers for Disease Control. Atlanta, GA: Centers for Disease Control and Prevention.
6	US CDC (2005). MMWR. Morbidity and mortality weekly report, 54(20), 513-516.
7	Wheeler, M. W. and Bailer, J. A. (2009). Comparing model averaging with other model selection strategies for benchmark dose estimation, Environmental and Ecological Statistics, 16, 37-51. DOI
8	EFSA (2010b). EFSA Panel on Contaminant in the Food Chain(CONTAM); Scientific Opinion on Lead in Food, EFSA Journal 2010, 8(4), 1570 [147pp]. doi:10.2903/j.efsa.2010.1570. Available online: www.efsa.europa.eu.
9	Gaylor, D. W. and Slikker, W. Jr. (1990). Risk assessment for neurotoxic effect, Neurotoxicology, 11, 211-218.
10	Ha, M., Kwon, H.-J., Lim, M.-H., Jee, Y.-K., Hong, Y.-C., Leem, J.-H., Sakong, J., Bae, J.-M., Hong, S.- J., Roh, Y.-M. and Jo, S.-J. (2009). Low blood levels of lead and mercury and symptoms of attention deficit hyperactivity in children: A report of the children's health and environment research (CHEER), Neurotoxicology, 30, 31-36. DOI ScienceOn
11	JECFA (2000) Evaluation of Certain Food Additives and Contaminants, WHO Technical Report Series, 896, 80-83.
12	Kim, B.-S., Ha, M. and Kwon, H.-J. (2011). A benchmark dose analysis for lead exposure on the attention deficit hyperactivity disorder data of Korean children, Biometrie und Medizinische Informatik, 18, 59-69.
13	National Health Insurance Corportation, Korea. (2012). Data request through personal communication.
14	Budtz-Jrgensen, E., Keiding, N. and Grandjean, P. (2001). Benchmark dose calculation from epidemiological data, Biometrics, 57, 698-706. DOI ScienceOn
15	Caneld, R. L., Henderson, C. R. Jr., Cory-Slechta, D. A., Cox, C., Jusko, T. A. and Lanphear, B. P. (2003). Intellectual impairment in children with blood lead concentrations below 10 microgram per deciliter, The New England Journal of Medicine, 348, 1517-1526. DOI ScienceOn
16	Crump, K. (1984). A new method for determining allowable daily intakes, Fundamental and Applied Toxi- cology, 4, 854-871. DOI ScienceOn
17	Crump, K. (1995). Calculation of benchmark doses from continuous data, Risk Analysis, 15, 79-89. DOI ScienceOn
18	EFSA (2010a). An international pooled analysis for obtaining a benchmark dose for environmental lead exposure in children. (Question $N^{\circ}$ .EFSA-Q-2009-01078).