Exposure assessment for pesticide intake from multiple food products: A Bayesian latent-variable approach

Risk Analysis

Volumn 28, Issue 6, 2008, Pages 1727-1736

  Chatterjee, Ayona ^a,b   Horgan, Graham ^b,c   Theobald, Chris ^b,d  

^a UNIVERSITY OF WEST GEORGIA   (United States)

^b Biomathematics and Statistics of Scotland ^*  (United States)

^c UNIVERSITY OF ABERDEEN   (United Kingdom)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Bayesian methods; Food consumption; Iprodione; Latent Gaussian; Latent t; Pesticide concentration; Pesticide risk

Indexed keywords

BAYESIAN NETWORKS; CONCENTRATION (PROCESS); FOOD PRODUCTS; FOOD SUPPLY; INFERENCE ENGINES; PESTICIDES; PROBABILITY; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; RISK MANAGEMENT; RISK PERCEPTION; TRELLIS CODES;

BAYESIAN METHODS; FOOD CONSUMPTION; IPRODIONE; LATENT-GAUSSIAN; LATENT-T; PESTICIDE CONCENTRATION;

POPULATION STATISTICS;

IPRODIONE;

BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); EMPIRICAL ANALYSIS; FOOD CONSUMPTION; FOOD INTAKE; FOOD QUALITY; HEALTH RISK; PESTICIDE; POLLUTION EXPOSURE; PROBABILITY; RISK ASSESSMENT; SKEWNESS;

ARTICLE; BAYES THEOREM; BLACK CURRANT; ENDIVE; FOOD INDUSTRY; FOOD INTAKE; GRAPE; HEALTH CARE ORGANIZATION; LETTUCE; NORMAL DISTRIBUTION; RISK ASSESSMENT; STRAWBERRY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; DIET SURVEYS; FOOD; FOOD CONTAMINATION; HUMANS; INFANT; MIDDLE AGED; NORMAL DISTRIBUTION; PESTICIDE RESIDUES; PESTICIDES; PROBABILITY;

BENELUX; EURASIA; EUROPE; NETHERLANDS; WESTERN EUROPE;

EID: 55349095042     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2008.01124.x     Document Type: Article

References (11)

1. Paulo, M. J., van der Voet, H., Jansen, M., ter Braak, C., & van Klaveren, J. (2005). Risk assessment of dietary exposure to pesticide using a Bayesian method. Pest Management Science, 61, 759 766.
2. Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian Data Analysis, 2nd ed. New York : Chapman & Hall.
3. Spiegelhalter, D. J., Thomas, A., Best, N., & Lunn, D. (2004). Version 1.4.1. BUGS 1996-2004: Medical Research Council (MRC) UK, WinBUGS. Available at http://www.mrc-bsu.ac.uk.bugs/winbugs/contents.html.
4. Allcroft, D. J., Glasbey, C. A., & Paulo, M. J. (2007). A latent Gaussian model for multivariate consumption data. Food Quality and Preference, 18, 508 516.
5. Anonymous 1998). Zo eet Nederland: Resultaten van de voedselconsumptiepeiling 1997-1998 Results of Dutch National Food Consumption Survey 1997-1998 Den Haag, The Netherlands : Voedingscentrum.
6. Kistemaker, C., Bouman, M., & Hulshof, K. F. A. M. (1998). De consumptie van afzonderlijke producten door Nederlandse bevolkingsgroepen- Voedselconsumptiepeiling. Report no. V 98.812. Zeist, The Netherlands : TNO-Voeding.
7. van Dooren, M. M. H., Boeijen, I., van Klaveren, J. D., & van Donkersgoed, G. (1995). Conversie van consumeerbare voedingsmiddelen naar primaire agrarische produkten Conversion of Foods to Primary Agricultural Products Report 95.17. Wageningen, The Netherlands : RIKILT Institute of Food Safety.
8. van Klaveren, J. D. (1999). Quality Programme for Agricultural Products: Results of Residue Monitoring in the Netherlands. Wageningen, The Netherlands : RIKILT Institute of Food Safety.
9. Allcroft, D. J., & Glasbey, C. A. (2003). Analysis of crop lodging using a latent variable model. Journal of Agricultural Science, 140, 383 393.
10. U.S. Environmental Protection Agency 1998). Iprodione. Reregistration Eligibility Decision Facts, EPA-738-F-98-017.
11. UK Committee on Toxicity of Chemicals in Food, Consumer Products and the Environment 2002). Risk Assessment of Mixtures of Pesticides and Similar Substances. Available at http://www.food.gov.uk/multimedia/pdfs/report(indexed). pdf.