Foodborne illness outbreaks linked to unpasteurised milk and relationship to changes in state laws - United States, 1998-2018.

Consumption of unpasteurised milk in the United States has presented a public health challenge for decades because of the increased risk of pathogen transmission causing illness outbreaks. We analysed Foodborne Disease Outbreak Surveillance System data to characterise unpasteurised milk outbreaks. Using Poisson and negative binomial regression, we compared the number of outbreaks and outbreak-associated illnesses between jurisdictions grouped by legal status of unpasteurised milk sale based on a May 2019 survey of state laws. During 2013-2018, 75 outbreaks with 675 illnesses occurred that were linked to unpasteurised milk; of these, 325 illnesses (48%) were among people aged 0-19 years. Of 74 single-state outbreaks, 58 (78%) occurred in states where the sale of unpasteurised milk was expressly allowed. Compared with jurisdictions where retail sales were prohibited (n = 24), those where sales were expressly allowed (n = 27) were estimated to have 3.2 (95% CI 1.4-7.6) times greater number of outbreaks; of these, jurisdictions where sale was allowed in retail stores (n = 14) had 3.6 (95% CI 1.3-9.6) times greater number of outbreaks compared with those where sale was allowed on-farm only (n = 13). This study supports findings of previously published reports indicating that state laws resulting in increased availability of unpasteurised milk are associated with more outbreak-associated illnesses and outbreaks.

Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food Sources Using Outbreak Data, United States.

Foodborne illness source attribution is foundational to a risk-based food safety system. We describe a method for attributing US foodborne illnesses caused by nontyphoidal Salmonella enterica, Escherichia coli O157, Listeria monocytogenes, and Campylobacter to 17 food categories using statistical modeling of outbreak data. This method adjusts for epidemiologic factors associated with outbreak size, down-weights older outbreaks, and estimates credibility intervals. On the basis of 952 reported outbreaks and 32,802 illnesses during 1998-2012, we attribute 77% of foodborne Salmonella illnesses to 7 food categories (seeded vegetables, eggs, chicken, other produce, pork, beef, and fruits), 82% of E. coli O157 illnesses to beef and vegetable row crops, 81% of L. monocytogenes illnesses to fruits and dairy, and 74% of Campylobacter illnesses to dairy and chicken. However, because Campylobacter outbreaks probably overrepresent dairy as a source of nonoutbreak campylobacteriosis, we caution against using these Campylobacter attribution estimates without further adjustment.

U.S. adults noticing and using menu calorie information: Analysis of the National Cancer Institute's Health Information National Trends Survey Data.

FDA's Menu Labeling Final Rule requires covered establishments provide calorie information on menus or menu boards, among other requirements. This study describes correlates of noticing and using menu calorie information in a nationally representative sample of U.S. adults before implementation of the Final Rule in May 2018. Data from the 2018 National Cancer Institute Health Information National Trends Survey was used to assess noticing menu calorie information, using menu calorie information to change menu ordering behavior, and knowledge of daily calorie needs. Regression analysis of weighted data tested associations between individual characteristics and noticing and using menu calorie information. Nearly half of adults (44%) reported noticing menu calorie information. Women, younger individuals, those who seek health information, individuals with a BMI ≥ 30, and those with higher education or higher income were more likely to report noticing menu calorie information. Among adults who reported noticing menu calorie information, three-quarters responded by ordering less (e.g., fewer calories), which equates to about one-third of the population. About 36% of women and 42% of men lacked calorie knowledge. Men with, versus without, calorie knowledge were twice as likely to report noticing menu calorie information (adjusted OR 2.23 95% CI 1.51, 3.29). Findings suggest behavioral response to menu calorie information varies and most individuals who notice the information respond by ordering less in ways that could reduce caloric intake. Future analyses could compare noticing and using menu calorie information before and after menu labeling implementation to assess the effect of policy on population behaviors.

An Updated Scheme for Categorizing Foods Implicated in Foodborne Disease Outbreaks: A Tri-Agency Collaboration.

BACKGROUND: Foodborne disease data collected during outbreak investigations are used to estimate the percentage of foodborne illnesses attributable to specific food categories. Current food categories do not reflect whether or how the food has been processed and exclude many multiple-ingredient foods. MATERIALS AND METHODS: Representatives from three federal agencies worked collaboratively in the Interagency Food Safety Analytics Collaboration (IFSAC) to develop a hierarchical scheme for categorizing foods implicated in outbreaks, which accounts for the type of processing and provides more specific food categories for regulatory purposes. IFSAC also developed standard assumptions for assigning foods to specific food categories, including some multiple-ingredient foods. The number and percentage of outbreaks assignable to each level of the hierarchy were summarized. RESULTS: The IFSAC scheme is a five-level hierarchy for categorizing implicated foods with increasingly specific subcategories at each level, resulting in a total of 234 food categories. Subcategories allow distinguishing features of implicated foods to be reported, such as pasteurized versus unpasteurized fluid milk, shell eggs versus liquid egg products, ready-to-eat versus raw meats, and five different varieties of fruit categories. Twenty-four aggregate food categories contained a sufficient number of outbreaks for source attribution analyses. Among 9791 outbreaks reported from 1998 to 2014 with an identified food vehicle, 4607 (47%) were assignable to food categories using this scheme. Among these, 4218 (92%) were assigned to one of the 24 aggregate food categories, and 840 (18%) were assigned to the most specific category possible. CONCLUSIONS: Updates to the food categorization scheme and new methods for assigning implicated foods to specific food categories can help increase the number of outbreaks attributed to a single food category. The increased specificity of food categories in this scheme may help improve source attribution analyses, eventually leading to improved foodborne illness source attribution estimates and enhanced food safety and regulatory efforts.

Characteristics of U.S. Consumers Reporting Past Year Intake of Raw (Unpasteurized) Milk: Results from the 2016 Food Safety Survey and 2019 Food Safety and Nutrition Survey.

ABSTRACT: Consumption of unpasteurized (raw) milk has been linked to foodborne illness in the United States at higher relative rates than has consumption of pasteurized milk and milk products. Regulation of these products differs by state. Regardless of the risk of consumption, some people still purchase and consume unpasteurized milk. Based on information from the 2016 Food Safety Survey and the 2019 Food Safety and Nutrition Survey conducted by the U.S. Food and Drug Administration, we evaluated prevalence, frequency, and demographic predictors of consumption of raw milk in the U.S. adult population. Results show that 4.4% of U.S. adults reported consuming raw milk at least once in the past year, with 1.6% reporting frequent consumption of raw milk (once per month or more often) and 1.0% reporting consumption once per week or more often. The individuals who consumed raw milk in the previous 12 months were more likely to be younger, living in a rural area, and living in a state in which retail sale of raw milk is legal. These results provide quantitative information on consumption prevalence and frequency and demographic characteristics of individuals who consume unpasteurized milk in the United States.