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Food Consumption Data in Microbiological Risk Assessment

Food Consumption Data in Microbiological Risk Assessment. Barbara J. Petersen and Leila M. Barraj E x ponent  Food and Chemicals Practice (formerly Novigen Sciences, Inc.). Acknowledgement:. S. Kathleen Egan, US Food and Drug Administration. Risk Assessment Paradigm.

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Food Consumption Data in Microbiological Risk Assessment

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  1. Food Consumption Data in Microbiological Risk Assessment Barbara J. Petersen and Leila M. Barraj Exponent Food and Chemicals Practice(formerly Novigen Sciences, Inc.)

  2. Acknowledgement: S. Kathleen Egan, US Food and Drug Administration

  3. Risk Assessment Paradigm • Hazard Identification • Exposure Assessment • Hazard Characterization • Risk Characterization

  4. Using Consumption Data in Microbiological Risk Assessments • Iterative process: • Consumption data  exposure (intake) estimates • Intake estimates  risk estimates (e.g., illnesses, deaths per year) • Risk estimates compared to actual or reported events • Refine risk assessment if necessary

  5. Exposure Assessment • Pathogen concentration in food at time of consumption • Presence on/in food • Pathogen distribution on/in food • Pathogen concentration • Consumption of food • Frequency of consumption • Amount consumed

  6. Consumption Data • Frequency of consumption • Number of meals • Number of servings • Per year, per week, per day • Amount consumed • Per meal, per serving, per day • Average amounts, unit size, distributions • Depend on purpose of assessment and data available

  7. Consumption Patterns Related to: • Population demographics • Age, gender, ethnicity, socio-economic characteristics • Season • Region

  8. Characterize Consumption Patterns of: • Sensitive subpopulations • Young children, elderly, pregnant women, immunodefficient, … • High risk consumer behavior, e.g., • Consumption of unpasteurized dairy products • Consumption of undercooked meat products

  9. Difference in Consumption Databases • How information is collected • Consumer surveys, sales statistics, production statistics, … • Food form • Foods as consumed, as purchased, raw agricultural commodities, …

  10. Food Production Statistics • Raw or semi-processed agricultural commodities • Amount of food available for total population  Annual quantity of food available per person  Daily per capita amount • National statistics on food production and utilization • FAO Food Balance Sheets • International assessments

  11. Consumption Surveys • National level or specific subpopulations • Information on: • Types and amounts of foods consumed over a short period of time • Frequency of consumption of a pre-specified list of foods • Limited number of countries • Level of detail, method, and survey instrument vary across surveys

  12. Retail Food Purchases • Specific foods • Typically at household level • Often used to supplement information from food consumption surveys

  13. Amount of Food Consumed • Per-capita or per-user • Total population or restricted to consumers of the food • Difference depends on frequency of consumption • Data source

  14. Amount of Food Consumed • Per year, per day, per eating occasion • Acute or chronic effects • Daily • Restricted to consumption days • All survey days • Data source

  15. Amount of Food Consumed • Point estimate • Serving unit • Typical (average) amount • High end consumption amount • Entire distribution

  16. Frequency of Consumption • Proportion of population consuming the food • How often an individual consumes the food • Number of days per year in which food is consumed • Number of eating occasions per year • Annual number of meals • Number of times a food is consumed per year • Number of times a given portion size is consumed per year

  17. Frequency of Consumption • Assessment can be refined using sales volume or market share data • e.g., pasteurized and unpasteurized milk or juice sales • Assume • x% of all eating occasions are for unpasteurized food form • Uniform distribution across entire population • Similar consumption amounts

  18. Using Food Production Statistics • Total population  individuals within a population • Uniform distribution? • Regional differences? • Ethnic, age, gender differences? • Annual statistics  daily estimates • Seasonal differences? • Day of the week differences? • Raw agricultural commodities  foods as consumed • Processing method? • Cooking method?

  19. Using Consumption Surveys • Sample of population  total population • Representative? • Statistical weights • Limited number of days  long-term estimates • “Typical” days? • Day to day variability? • Food groups  individual foods • Equal frequencies and amounts?

  20. Using Consumption Surveys • Infrequently consumed foods • Per user estimates • Per day or eating occasion • Foods consumed in mixed dishes • Recipes? • Joint exposure for multiple foods or for individual foods • Total exposure? • Risk from individual foods?

  21. Using Consumption Surveys • Typically focus on nutrition aspect • May focus on different subpopulations than those of interest • May not collect enough detail on foods consumed • Raw data versus summary statistics

  22. Using Consumption Surveys • Food source • Home / store / restaurant / fast food place / cafeteria / vending machine … • Where consumed • When was food consumed? • Time of day • With meal / meal name • Source of drinking water • Bottled / CWS / well …

  23. Using Consumption Surveys • Information on consumer behavior typically missing: • Food handling • Cooking method • Cooking temperature and duration • Potential for cross contamination • For most microbial contaminants, one of most important factors

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