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Dietary exposure to a food chemical (e.g. contaminant, nutrient, or other natural constituent) is a function of the concentration of the chemical in foods and the quantity of each food consumed. Exposures to food chemicals can be estimated using intake data from What We Eat in America (WWEIA), the food consumption survey portion of the National Health and Nutrition Examination Survey (NHANES). To estimate exposures to chemicals in foods consumed by NHANES/WWEIA respondents, the consumption data must be mapped to chemical concentration data on the same or similar foods. However, food chemical data are generally not available on all the foods and food mixtures that are reported in NHANES/WWEIA. To address this, we developed the FDA Food Disaggregation Database (FDA-FDD), a 'recipe' database with estimates of ingredient percentages. FDA-FDD allows mapping to food chemical data based on ingredients in NHANES/WWEIA foods rather than on food mixtures, resulting in more accurate exposure estimates. Using FDA-FDD, FDA mapped over 11,000 NHANES/WWEIA foods to FDA's Total Diet Study (TDS) foods. FDA-FDD is available as part of a publicly available interactive application that also allows access to the TDS mapping.

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OBJECTIVES: Our goal was to provide current estimates of alcohol-attributable cancer mortality and years of potential life lost (YPLL) in the United States. METHODS: We used 2 methods to calculate population-attributable fractions. We based relative risks on meta-analyses published since 2000, and adult alcohol consumption on data from the 2009 Alcohol Epidemiologic Data System, 2009 Behavioral Risk Factor Surveillance System, and 2009-2010 National Alcohol Survey. RESULTS: Alcohol consumption resulted in an estimated 18,200 to 21,300 cancer deaths, or 3.2% to 3.7% of all US cancer deaths. The majority of alcohol-attributable female cancer deaths were from breast cancer (56% to 66%), whereas upper airway and esophageal cancer deaths were more common among men (53% to 71%). Alcohol-attributable cancers resulted in 17.0 to 19.1 YPLL for each death. Daily consumption of up to 20 grams of alcohol (≤ 1.5 drinks) accounted for 26% to 35% of alcohol-attributable cancer deaths. CONCLUSIONS: Alcohol remains a major contributor to cancer mortality and YPLL. Higher consumption increases risk but there is no safe threshold for alcohol and cancer risk. Reducing alcohol consumption is an important and underemphasized cancer prevention strategy.

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OBJECTIVES: In 2006, the Association of American Veterinary Medical Colleges reported that the shortage (≥ 1,500) of public health veterinarians is expected to increase tenfold by 2020. In 2008, the Centers for Disease Control and Prevention (CDC) Preventive Medicine Fellows conducted a pilot project among CDC veterinarians to identify national veterinary public health workforce concerns and potential policy strategies. METHODS: Fellows surveyed a convenience sample (19/91) of public health veterinarians at CDC to identify veterinary workforce recruitment and retention problems faced by federal agencies; responses were categorized into themes. A focus group (20/91) of staff veterinarians subsequently prioritized the categorized themes from least to most important. Participants identified activities to address the three recruitment concerns with the highest combined weight. RESULTS: Participants identified the following three highest prioritized problems faced by federal agencies when recruiting veterinarians to public health: (1) lack of awareness of veterinarians' contributions to public health practice, (2) competitive salaries, and (3) employment and training opportunities. Similarly, key concerns identified regarding retention of public health practice veterinarians included: (1) lack of recognition of veterinary qualifications, (2) competitive salaries, and (3) seamless integration of veterinary and human public health. CONCLUSIONS: Findings identified multiple barriers that can affect recruitment and retention of veterinarians engaged in public health practice. Next steps should include replicating project efforts among a national sample of public health veterinarians. A committed and determined long-term effort might be required to sustain initiatives and policy proposals to increase U.S. veterinary public health capacity.

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BACKGROUND: Investigations of clusters of birth defects have been challenging endeavors that have had only modest success identifying causes or risk factors. Some of the challenges to individual cluster investigations have been small sample size and limited data collection. We describe a novel approach for investigating and analyzing pooled information from a series of birth defects cluster investigations. METHODS: The Birth Defects Cluster Study uses a case-control study design with standardized methods, including a case definition, control selection, data collection methods, and data collected (e.g., maternal interviews, blood samples, and environmental samples). Analyses of pooled data from several clusters of the same defect are conducted for specific hypotheses once a sufficient sample size has been achieved. The feasibility of conducting individual birth defect investigations was evaluated on a cluster of gastroschisis. RESULTS: The pilot investigation of a cluster of gastroschisis demonstrated success in recruiting participants and in collecting data and specimens for eventual inclusion in a pooled analysis. CONCLUSIONS: The Birth Defects Cluster Study offers a unique and effective approach to cluster investigations that improves the likelihood of identifying genetic and environmental causes of birth defects and provides a model for cluster investigations of other noninfectious health outcomes.

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INTRODUCTION: Binge drinking is a leading cause of preventable death and results in employee absenteeism and lost productivity. Knowledge about the prevalence of binge drinking among employees of different occupations is limited. METHODS: We assessed the prevalence of binge drinking (i.e., consuming five or more drinks per occasion during the previous 30 days) by primary occupation using data from the 2004-2005 North Dakota Behavioral Risk Factor Surveillance System. We used logistic regression to assess the association between binge drinking and primary occupation. RESULTS: Overall, 24.1% (95% confidence interval [CI], 22.5-25.7) of North Dakota workers reported binge drinking. The prevalence was highest among farm or ranch employees (45.3%; 95% CI, 28.3-63.4), food or drink servers (33.4%; 95% CI, 23.9-44.4), and farm or ranch owners (32.5%; 95% CI, 26.3-39.4). The prevalence was lowest among health care workers (13.2%; 95% CI, 10.3-16.8). Compared with health care workers, the adjusted odds of binge drinking were highest among farm or ranch employees (adjusted odds ratio [AOR], 2.2; 95% CI, 0.9-5.5), food or drink servers (AOR, 2.1; 95% CI, 1.1-4.0), and farm or ranch owners (AOR, 1.7; 95% CI, 1.1-2.6). Health insurance coverage was lowest among employees in occupations with the highest prevalence of binge drinking. CONCLUSION: We found occupational differences in the prevalence of binge drinking among employees in North Dakota. Many occupational categories had a high prevalence of binge drinking. We recommend the implementation of both employer-sponsored and population-based interventions to reduce binge drinking among North Dakota workers, particularly because employees in occupations with the highest rates of binge drinking had the lowest rates of health insurance coverage.

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