Development of lead source-specific exposure standards based on aggregate exposure assessment: Bayesian inversion from biomonitoring information to multipathway exposure

Environmental Science and Technology

Volumn 46, Issue 2, 2012, Pages 1144-1152

  Dong, Zhaomin ^a   Hu, Jianying ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATE EXPOSURE; ANALYTICAL TOOL; BAYESIAN HIERARCHICAL MODEL; BAYESIAN INVERSION; BIOMONITORING; BLOOD LEAD LEVELS; EXPOSURE STANDARDS; EXTERNAL EXPOSURE; LEAD EXPOSURE; MULTIPLE PATHWAYS; PUBLIC SAFETY; QUALITY STANDARD; SOURCE ALLOCATION;

GEOLOGIC MODELS; HIERARCHICAL SYSTEMS; NUTRITION; PAINT; POTABLE WATER; RATING; SOILS;

CHEMICAL CONTAMINATION;

DRINKING WATER; LEAD; PAINT;

AGGREGATION; ASSESSMENT METHOD; BAYESIAN ANALYSIS; BIOMONITORING; DIET; DRINKING WATER; ESTIMATION METHOD; POLLUTION EXPOSURE;

AIR; ARTICLE; BAYES THEOREM; BIOLOGICAL MONITORING; CHILD; CHILD SAFETY; DIET; ENVIRONMENTAL EXPOSURE; HEALTH HAZARD; HUMAN; PRESCHOOL CHILD; SOIL; TRACE METAL BLOOD LEVEL;

BAYES THEOREM; CHILD; CHILD, PRESCHOOL; CHINA; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTANTS; HUMANS; INFANT; LEAD; MODELS, BIOLOGICAL;

CHINA;

EID: 84862974903     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es202800z     Document Type: Article

References (45)

1. Lanphear, B. P.; Hornung, R.; Khoury, J.; Yolton, K.; Baghurstl, P.; Bellinger, D. C.; Canfield, R. L.; Dietrich, K. N.; Bornschein, R.; Greene, T.; Rothenberg, S. J.; Needleman, H. L.; 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
2. Navas-Acien, A.; Guallar, E.; Silbergeld, E. K.; Rothenberg, S. J. Lead exposure and cardiovascular disease-A systematic review Environ. Health Perspect. 2007, 115 (3) 472-482
3. Koller, K.; Brown, T.; Spurgeon, A.; Levy, L. Recent developments in low-level lead exposure and intellectual impairment in children Environ. Health Perspect. 2004, 112 (9) 987-994
4. Levin, R.; Brown, M. J.; Kashtock, M. E.; Jacobs, D. E.; Whelan, E. A.; Rodman, J.; Schock, M. R.; Padilla, A.; Sinks, T. Lead exposures in US children, 2008: Implications for prevention Environ. Health Perspect. 2008, 116 (10) 1285-1293
5. U.S. Environmental Protection Agency. Identification of Dangerous Levels of Lead: EPA: Washington, DC, 2001.
6. World Health Organization. Guidelines for Drinking-water Quality, First Addendum to 3 rd ed.; WHO: Geneva, 2006.
7. U.S. Environmental Protection Agency. National Ambient Air Quality Standards for Lead; EPA: Washington, DC, 2008.
8. Kaiser, R.; Henderson, A. K.; Daley, W. R.; Naughton, M.; Khan, M. H.; Rahman, M.; Kieszak, S.; Rubin, C. H. Blood lead levels of primary school children in Dhaka, Bangladesh Environ. Health Perspect. 2001, 109 (6) 563-566
9. Glorennec, P.; Bemrah, N.; Tard, A.; Robin, A.; Le Bot, B.; Bard, D. Probabilistic modeling of young children's overall lead exposure in France: Integrated approach for various exposure media Environ. Int. 2007, 33 (7) 937-945
10. Glorennec, P.; Declercq, C. Performance of several decision support tools for determining the need for systematic screening of childhood lead poisoning around industrial sites Eur. J. Public Health 2007, 17 (1) 47-52
11. U.S. Environmental Protection Agency. Aggregate Exposure and Risk Assessment; EPA: Washington, DC, 2001.
12. U.S. Environmental Protection Agency. General Principles for Performing Aggregate Exposure and Risk Assessments; EPA: Washington, DC, 2001.
13. Goodrum, P. E.; Diamond, G. L.; Hassett, J. M.; Johnson, D. L. Monte Carlo modeling of childhood lead exposure: Development of a probabilistic methodology for use with the USEPA IEUBK model for lead in children Hum. Ecol. Risk Assess. 1996, 2 (4) 681-708
14. Griffin, S.; Goodrum, P. E.; Diamond, G. L.; Meylan, W.; Brattin, W. J.; Hassett, J. M. Application of a probabilistic risk assessment methodology to a lead smelter site Hum. Ecol. Risk Assess. 1999, 5 (4) 845-868
15. Lyons, M. A.; Yang, R.; Mayeno, A. N.; Reisfeld, B. Computational toxicology of chloroform: Reverse dosimetry using Bayesian inference, Markov chain Monte Carlo simulation, and human biomonitoring data Environ. Health Perspect. 2008, 116 (8) 1040-1046
16. Allen, B. C.; Hack, C. E.; Clewell, H. J. Use of Markov chain Monte Carlo analysis with a physiologically-based pharmacokinetic model of methylmercury to estimate exposures in US women of childbearing age Risk Anal. 2007, 27 (4) 947-959
17. Wang, S. Q.; Zhang, J. L. Blood lead levels in children, China Environ. Res. 2006, 101 (3) 412-418
18. Zhang, S. M.; Dai, Y. H.; Xie, X. H.; Fan, Z. Y.; Tan, Z. W.; Zhang, Y. F. Surveillance of Childhood Blood Lead Levels in 14 Cities of China in 2004-2006 Biomed. Environ. Sci. 2009, 22 (4) 288-296
19. Zeng Xi-Bai, L. L. M. X. Heavy metal content in Chinese vegetable plantation land soils and related source analysis Agric. Sci. China 2008, 7 (9) 1115-1126
20. Zheng, N.; Wang, Q. C.; Zhang, X. W.; Zheng, D. M.; Zhang, Z. S.; Zhang, S. Q. Population health risk due to dietary intake of heavy metals in the industrial area of Huludao city, China Sci. Total Environ. 2007, 387 (1-3) 96-104
21. Sun, Y.; Zhuang, G. S.; Zhang, W. J.; Wang, Y.; Zhuang, Y. H. Characteristics and sources of lead pollution after phasing out leaded gasoline in Beijing Atmos. Environ. 2006, 40 (16) 2973-2985
22. Yang, Y. C.; Xu, X.; Georgopoulos, P. G. A Bayesian population PBPK model for multiroute chloroform exposure J. Expo. Sci. Environ. Epidemiol. 2010, 20 (4) 326-341
23. Xu, T.; White, L.; Hui, D. F.; Luo, Y. Q. Probabilistic inversion of a terrestrial ecosystem model: Analysis of uncertainty in parameter estimation and model prediction Global Biogeochem Cycles 2006, 20, GB200272
24. Gelman, A.; Bois, F.; Jiang, J. M. Physiological pharmacokinetic analysis using population modeling and informative prior distributions J. Am. Stat. Assoc. 1996, 91 (436) 1400-1412
25. Kobayashi, N; Naya, M; Nakanishi, J. Risk Assessment for Lead (In Japanese) ' Maruzen Bookstores Press: Tokyo, Japan, 2006.
26. U.S. Environmental Protection Agency. Technical Support Document: Parameters and Equations Used in the Integrated Exposure Uptake Biokinetic Model for Lead in Children (v0.99d); EPA: Washington, DC, 1994.
27. Ivartnik, M.; Erzen, I. The IEUBK model for lead blood burden prediction in children used in the exploration and remediation of the upper Meza valley environmental Zdravstveno Varstvo. 2010, 49 (2) 76-85
28. Carrizales, L.; Razo, I.; Tellez-Hernandez, J. I.; Torres-Nerio, R.; Torres, A.; Batres, L. E.; Cubillas, A. C.; Diaz-Barriga, F. Exposure to arsenic and lead of children living near a copper-smelter in San Luis Potosi, Mexico: Importance of soil contamination for exposure of children Environ. Res. 2006, 101 (1) 1-10
29. Tan, Y. M.; Liao, K. H.; Conolly, R. B.; Blount, B. C.; Mason, A. M.; Clewell, H. J. Use of a physiologically based pharmacokinetic model to identify exposures consistent with human biomonitoring data for chloroform J. Toxicol. Environ. Health A 2006, 69 (18) 1727-1756
30. Ogiu, N.; Nakamura, Y.; Ijiri, I.; Hiraiwa, K.; Ogiu, T. A statistical analysis of the internal organ weights of normal Japanese people Health Phys. 1997, 72 (3) 368-383
31. Parsons, P. J.; Reilly, A. A.; Esernio-Jenssen, D. Screening children exposed to lead: An assessment of the capillary blood lead fingerstick test Clin. Chem. 1997, 43 (2) 302-311
32. Fewtrell, L. J.; Pruss-Ustun, A.; Landrigan, P.; Ayuso-Mateos, J. L. Estimating the global burden of disease of mild mental retardation and cardiovascular diseases from environmental lead exposure Environ. Res. 2004, 94 (2) 120-133
33. Dennis, R. H. Nondetecs and Data Analysis: Statistics for Censored Environmental Data; John Wiley & Sons, Inc: NJ, 2004.
34. Chen, J. S.; Gao, J. Q. The Chinese total diet study in 1990. Part 1. Chemical Contaminants J. AOAC Int. 1993, 76 (6) 1193-1205
35. Wang, M. Q.; Liu, X. M.; Wang, Z. T. Studies on national surveillance system for food contaminations and foodborne diseases in China (In Chinese) Chin. J. Food Hygiene 2006, 18 (6) 491-497
36. Lin, G. Z.; Peng, R. F.; Chen, Q.; Wu, Z. G.; Du, L. Lead in housing paints: An exposure source still not taken seriously for children lead poisoning in China Environ. Res. 2009, 109 (1) 1-5
37. Shen, X. M.; Rosen, J. F.; Guo, D.; Wu, S. M. Childhood lead poisoning in China Sci. Total Environ. 1996, 181 (2) 101-109
38. He, K. M.; Wang, S. Q.; Zhang, J. L. Blood lead levels of children and its trend in China Sci. Total Environ. 2009, 407 (13) 3986-3993
39. Brody, D. J.; Pirkle, J. L.; Kramer, R. A.; Flegal, K. M.; Matte, T. D.; Gunter, E. W.; Paschal, D. C. Blood lead levels in the U.S. population: Phase 1 of the Third National Health and Nutrition Examination Survey (NHANES III, 1988 to 1991) J. Am. Med. Soc. 1994, 272 (4) 277-283
40. Hough, R. L.; Breward, N.; Young, S. D.; Crout, N.; Tye, A. M.; Moir, A. M.; Thornton, I. Assessing potential risk of heavy metal exposure from consumption of home-produced vegetables by urban populations Environ. Health Perspect. 2004, 112 (2) 215-221
41. Sheets, R. W.; Kyger, J. R.; Biagioni, R. N.; Probst, S.; Boyer, R.; Barke, K. Relationship between soil lead and airborne lead concentrations at Springfield, Missouri, USA Sci. Total Environ. 2001, 271 (1-3) 79-85
42. U.S. Environmental Protection Agency. Nation Ambient Air Quality Standards for Lead: Assessment of Scientific and Technical Information; EPA: Washington, DC, 1990.
43. Codex Alimentarius Commission. Codex General Standard for Contaminants and Toxins in Food and Feed. WHO: Geneva, 1993.
44. Braun, J. M.; Kahn, R. S.; Froehlich, T.; Auinger, P.; Lanphear, B. P. Exposures to environmental toxicants and attention deficit hyperactivity disorder in US children Environ. Health Perspect. 2006, 114 (12) 1904-1909
45. Jusko, T. A.; Henderson, C. R.; Lanphear, B. P.; Cory-Slechta, D. A.; Parsons, P. J.; Canfield, R. L. Blood lead concentrations <10 μg/dL and child intelligence at 6 years of age Environ. Health Perspect. 2008, 116 (2) 243-248