Society For Risk Analysis Annual Meeting 2012

Advancing Analysis

Session Schedule & Abstracts

* Disclaimer: All presentations represent the views of the authors, and not the organizations that support their research. Please apply the standard disclaimer that any opinions, findings, and conclusions or recommendations in abstracts, posters, and presentations at the meeting are those of the authors and do not necessarily reflect the views of any other organization or agency. Meeting attendees and authors should be aware that this disclaimer is intended to apply to all abstracts contained in this document. Authors who wish to emphasize this disclaimer should do so in their presentation or poster. In an effort to make the abstracts as concise as possible and easy for meeting participants to read, the abstracts have been formatted such that they exclude references to papers, affiliations, and/or funding sources. Authors who wish to provide attendees with this information should do so in their presentation or poster.

Common abbreviations

Symposium: Dietary Exposure Assessments in Regulatory Decision Making

Room: Pacific Concourse D   3:30 - 5 PM

Chair(s): Jannavi Srinivasan

Sponsored by EASG

Risk assessment is a critical component in the regulation of food and environmental safety. Dietary exposure estimates are used to measure the risk of a food ingredient, chemical or nutrient to human health and are used in promulgating regulations to protect the public health. They are obtained by combining food consumption and concentrations data using dietary modeling. There are several survey methods available to capture eating patterns and diet in the population, including 24 hour dietary recalls and food frequency questionnaires. Depending on the food consumption patterns, and the sub-populations of interest, there are various modeling approaches used to estimate the dietary exposure of a given food ingredient or contaminant. These models are largely dependant on the quality of the data. This symposium will discuss the practical aspects of dietary risk analysis using appropriate examples.

T4-A.1  15:30  Development of a method for estimating long-term intake of foods and nutrients . Berraj L*, Murphy M, Scrafford C, Bi X; Industry

Abstract: Statistical models have been proposed to derive estimates of usual intake of foods and nutrients from short term consumption data, such as the data collected by the 24-hour dietary recall component of the National Health and Nutrition Examination Survey (NHANES) (Nusser et al 1996, Tooze et al 2006). We have developed an alternative model that combines frequency of consumption data from 14-day diaries collected by The NPD Group (NPD) as part of the National Eating Trends (NET) survey with gram per eating occasion (eo) data from NHANES. The model was restricted to NET participants reporting 10+ diary days. There were proportionately more young children (2–6 y) and older adults (50+ y) in the NET database. NET survey participants reported on average one less line item per day as compared to those in NHANES. There was no evidence of respondent’s fatigue in the NET (average number of lime items reported per day in weeks 1 and 2 was 13.5 and 13.7). We mapped each food reported in NET to one or more foods reported in NHANES. We derived distributions of g/eo for all mapped NHANES foods and the model assigned each NET eo a g/eo from the generated distributions. We present results of our comparison of the 2 surveys, and the assumptions and approach used to develop the model and combine the data from the 2 surveys. Supported by the US Food and Drug Administration.

T4-A.2  15:50  Databases from What We Eat in America, NHANES for Use in Dietary Exposure Assessments. Moshfegh AJ*, Martin CL, Bowman SA, Montville JB; US Department of Agriculture

Abstract: Estimates of intakes of food, nutrients and other bioactive substances are needed to assess the appropriateness of the food supply and assist in public health planning and policy development. Estimates of total dietary intakes from both food and dietary supplements may be generated using data collected from What We Eat in America, the dietary intake component of the National Health and Nutrition Examination Survey and nutrient databases developed by the Food Surveys Research Group. This presentation will explore current methodologies and discuss future research.

T4-A.3  16:10  How EPA Uses Dietary data for Exposure Assessments of Pesticide Residues in Food with an updated consumption database in publicly available dietary exposure model. Hrdy DE*; US Environmental Protection Agency/Office of Pesticide Programs

Abstract: The U.S. Environmental Protection Agency (U.S. EPA) Office of Pesticide Programs (OPP) is responsible for ensuring the safe use of pesticides. Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and Federal Food, Drug, and Cosmetic Act (FFDCA) as amended by the Food Quality Protection Act (FQPA) mandate that the U.S. EPA evaluate the health risks of pesticide residue present in the U.S. food supply. Evaluation of dietary exposure to these chemicals is a significant activity in OPP. Dietary exposure evaluation involves combining data on food consumption with data on pesticide residues in food. Recently, the consumption data used in the pesticide dietary models has been updated with the USDA’s NHANES/What We Eat In America survey 2007/2008 data. The OPP routinely uses DEEM dietary exposure model for estimating exposure, which has been updated with this new consumption data and is now publicly freely available for download. This presentation will be an overview of OPP methodology for estimating dietary exposure. The DEEM software for calculating dietary exposure to chemicals will be described as to how it is used in quantitative exposure models. This model uses consumption data from nationally representative surveys, NHANES’ What We Eat In America (WWEIA), on food consumption and food commodity pesticide residue data from USDA’s Pesticide Data Program (PDP) to assess dietary pesticide exposure.

T4-A.4  16:30  Exposure to Furan from Irradiated Foods. DiNovi MJ*, Edwards AJ; US Government

Abstract: In 2003, the US Food and Drug Administration announced that furan had been detected in a large number of processed foods. Because of its toxicity in animal tests, a large exploratory survey of foods was undertaken and published. Concurrently, FDA scientists discovered that the irradiation of foods caused furan formation in "unprocessed" foods, albeit at much lower levels than those found in many of the processed products. As a part of its safety evaluation of the use of sources of irradiation as a food additive, the Agency has undertaken an assessment of dietary exposure to furan from foods that have been irradiated. This session will consider the exposure to furan from irradiated foods in the larger context of its overall dietary exposure.

T4-A.5  16:50  Assessment of sodium intake among the US population. Cogswell ME*, Wang C-Y, Pfeiffer CM, Loria CM; Centers for Disease Control and Prevention and National Institutes of Health

Abstract: National objectives call for an approximately 40% reduction in mean sodium intake by 2020. Federal guideline indicate Americans should reduce sodium intake to <2300 mg daily and specific populations (African-Americans, adults aged 51 years and older, and people with hypertension, diabetes, or chronic kidney disease) should further reduce sodium intake to 1500 mg daily. To better understand population intake of sodium and related nutrients, the Centers for Disease Control and Prevention (CDC) and other federal partners continue to collect and analyze usual sodium and related nutrient intake based on 24-dietary hour recall data from the National Health and Nutrition Examination Survey (NHANES). Estimates use more than one recall and adjust for within-individual day-to-day variability. Biomarkers, such as twenty-four urine excretions, better capture all sources of sodium intake (foods, beverages, salt added at the table, salt-added during cooking, supplements, antacids, and medications). To assess the use of biomarkers, historical/spot urine specimens and previously collected data in NHANES were analyzed to inform trends in sodium and potassium intake. In addition, CDC and partners collected data on 407 adults aged 18-39 years to help develop and validate calibration equations for 24-hour urine sodium and related analyte (e.g., potassium, iodine) excretion. Data from all of these sources indicate Americans consume too much sodium and too little potassium.

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