Dietary intake and dietary quality of low-income adults in the Supplemental Nutrition Assistance Program

Frequency of consumption at fast-food restaurants is associated with dietary intake in overweight and obese women recruited from financially disadvantaged neighborhoods

Fast-food restaurants are more prevalent in lower-income and predominately African American neighborhoods, where consumption of fast food is also higher. In general populations, fast-food consumption is related to less healthy dietary intake. This cross-sectional study examined the hypotheses that greater fast-food consumption is associated with less healthy dietary intake and poorer diet quality in overweight and obese women (n = 196, 25-51 years, 87% African American) recruited from financially disadvantaged Census tracts. Dietary intake and diet quality (Alternate Healthy Eating Index) were assessed via three 24-hour dietary recalls. Linear regression models tested the association between fast-food consumption and each outcome (model 1). Model 2 added sociodemographics and physical activity. Model 3 added total caloric intake. Fast-food consumption was significantly associated with total caloric intake; total intake of meat, grains, sweetened beverages, dairy, fiber, cholesterol, sodium, and added sugar; and percent of calories from total fat, saturated fat, and trans-fatty acids. Statistically significant associations remained in model 2, but most were not significant in model 3. Fast-food consumption was not associated with diet quality (Alternate Healthy Eating Index) in any model. In this at-risk sample, fast-food consumption was associated with more negative dietary practices. Significant associations generally disappeared when controlling for total caloric intake, suggesting that women who eat more fast food have higher total caloric intakes as a result of increased consumption of unhealthy rather than healthy foods.

Nutritional policy changes in the supplemental nutrition assistance program: a microsimulation and cost-effectiveness analysis

BACKGROUND

Some experts have proposed limiting the use of Supplemental Nutrition Assistance Program (SNAP) benefits, for calorie-dense foods or subsidizing SNAP purchases of healthier foods.

OBJECTIVE

To estimate health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP.

DESIGN

. Microsimulation. Data Sources. National Health and Nutrition Examination Survey, US Department of Agriculture Quarterly Food-at-Home Price Database, and SNAP program data.

TARGET POPULATION

US adults aged 25 to 64 y. Time Horizon. 10 y. Perspective. Governmental.

OUTCOME MEASURES

Incremental costs, quality-adjusted life-years (QALYs), body mass index, Alternative Healthy Eating Index, Food Security Score, diabetes person-years, and deaths from myocardial infarctions (MIs) and strokes.

RESULTS

of Base-Case Analysis. Banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A penny-per-ounce tax on SSBs purchased with SNAP dollars would produce higher cost savings due to tax revenues but avert fewer chronic disease deaths. However, some SNAP participants are likely to preferentially purchase SSBs through their disposable income, indirectly reducing their food security. A 30% produce subsidy would be expected to avert 39,000 diabetes person-years and 4600 cardiovascular deaths over 10 y without effects on food security. Results of Sensitivity Analysis. Results are sensitive to the intake elasticities of SSBs and produce. Limitations. Input data did not provide information on heterogeneity in response to price changes within the SNAP-using

POPULATION

CONCLUSIONS

SNAP restrictions on SSBs could lower chronic disease mortality, but further testing should examine indirect effects on disposable income and food security. Subsidizing produce could confer fewer benefits or risks but at higher cost.

USDA food and nutrient databases provide the infrastructure for food and nutrition research, policy, and practice

The USDA food and nutrient databases provide the basic infrastructure for food and nutrition research, nutrition monitoring, policy, and dietary practice. They have had a long history that goes back to 1892 and are unique, as they are the only databases available in the public domain that perform these functions. There are 4 major food and nutrient databases released by the Beltsville Human Nutrition Research Center (BHNRC), part of the USDA's Agricultural Research Service. These include the USDA National Nutrient Database for Standard Reference, the Dietary Supplement Ingredient Database, the Food and Nutrient Database for Dietary Studies, and the USDA Food Patterns Equivalents Database. The users of the databases are diverse and include federal agencies, the food industry, health professionals, restaurants, software application developers, academia and research organizations, international organizations, and foreign governments, among others. Many of these users have partnered with BHNRC to leverage funds and/or scientific expertise to work toward common goals. The use of the databases has increased tremendously in the past few years, especially the breadth of uses. These new uses of the data are bound to increase with the increased availability of technology and public health emphasis on diet-related measures such as sodium and energy reduction. Hence, continued improvement of the databases is important, so that they can better address these challenges and provide reliable and accurate data.