Addressing Food Insecurity in the United States During and After the COVID-19 Pandemic: The Role of the Federal Nutrition Safety Net

Food insecurity has been a direct and almost immediate consequence of the coronavirus disease 2019 (COVID-19) pandemic and its associated ramifications on unemployment, poverty and food supply disruptions. As a social determinant of health, food insecurity is associated with poor health outcomes including diet related chronic diseases, which are associated with worst COVID-19 outcomes (e.g., COVID-19 patients of all ages with obesity face higher risk of complications, death). In the United States (US), the federal nutrition safety net is predominantly made up of the suite of 15 federal nutrition assistance programs that the US Department of Agriculture (USDA) administers and the Older American Act Nutrition Program that the US Department of Health and Human Services (HHS) administers (See Table 1). Both made significant adaptations to help ensure Americans have safe, secureand healthy foods and beverages during this national emergency. This essay briefly discusses the successes and shortcomings of these adaptations by critical life stages and puts forth recommendations for strengthening the public health impacts of our federal nutrition safety net in the near- and longterm

Legislative and Executive Branch Developments Affecting the United States Department of Agriculture Supplemental Nutrition Assistance Program

For more than forty years, the United States Department of Agriculture Supplemental Nutrition Assistance Program (SNAP; formerly Food Stamps) has offered nutrition assistance to nearly forty million eligible individuals and families each month. This article first provides a brief overview of the evolution of the United States’ largest domestic food security and nutrition safety net program. Then, the article reviews Congressional actions taken regarding SNAP during the 2018 Farm Bill deliberations, appropriations for fiscal years 2017 through 2020, and oversight (in)activities. The article focuses on Congressional activities regarding block grants; participant eligibility; benefit adequacy, issuance, and redemption; and strengthening SNAP’s nutritional impacts. Next, the article discusses a variety of executive orders, administrative actions, initiatives, nominations, budget proposals, and tweets with SNAP implications put forth thus far by President Donald Trump, the 45th President of the United States. These actions include the America’s Harvest Box, natural disaster responses, the public charge rule, tariffs on Chinese imports, and various agency relocations and reorganizations. The article reflects on how each of these legislative and executive developments might impact SNAP\u27s organization, operations at the federal, tribal, state and retailer levels, and, ultimately, eating patterns and health of participating and eligible children and families, persons with disabilities, and elders

Addressing health inequalities in the United States: Key data trends and policy action

Health inequalities, which have been well documented for decades, have recently become policy targets in the United States. This report summarizes current patterns and trends in health inequalities, commitments to reduce health inequalities, and progress made to eliminate health inequalities. Time trend data indicate improvements in health status and major risk factors but increases in morbidity, with black and lower-education individuals experiencing a disproportionate burden of disease. A common policy response has been priority setting in the form of national objectives or goals to address health inequalities. More research and better methods are needed to precisely measure relationships between stated policy goals and observed trends in health inequalities. Despite these challenges, the United States has made commitments to advancing research and policy to eliminate health inequalities. There remain considerable opportunities for local public health systems and practioners to develop innovative solutions to address the problem of health inequalities, particularly related to action steps, and for researchers to address knowledge gaps in the scientific literature related to the evaluation and measurement of progress aimed at addressing health inequalities

Variation in Provider Identification of Obesity by Individual- and Neighborhood-Level Characteristics among an Insured Population

Objective. The purpose of this study was to examine whether neighborhood- and individual-level characteristics affect providers' likelihood of providing an obesity diagnosis code in their obese patients' claims. Methods. Logistic regressions were performed with obesity diagnosis code serving as the outcome variable and neighborhood characteristics and member characteristics serving as the independent variables (N = 16,151 obese plan members). Results. Only 7.7 percent of obese plan members had an obesity diagnosis code listed in their claims. Members living in neighborhoods with the largest proportions of Blacks were 29 percent less likely to receive an obesity diagnosis (P < .05). The odds of having an obesity diagnosis code were greater among members who were female, aged 44 or below, hypertensive, dyslipidemic, BMI ≥ 35 kg/m2, had a larger number of provider visits, or who lived in an urban area (all P < .05). Conclusions. Most health care providers do not include an obesity diagnosis code in their obese patients' claims. Rates of obesity identification were strongly related to individual characteristics and somewhat associated with neighborhood characteristics

Differences in the Neighborhood Retail Food Environment and Obesity Among US Children and Adolescents by SNAP Participation

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144306/1/oby22184_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144306/2/oby22184.pd

The publics' understanding of daily caloric recommendations and their perceptions of calorie posting in chain restaurants

<p>Abstract</p> <p>Background</p> <p>Calorie posting in chain restaurants has received increasing attention as a policy lever to reduce energy intake. Little research has assessed consumer understanding of overall daily energy requirements or perceived effectiveness of calorie posting.</p> <p>Methods</p> <p>A phone survey was conducted from May 1 through 17, 2009 with 663 randomly selected, nationally-representative adults aged 18 and older, including an oversample of Blacks and Hispanics in the United States. To examine differences in responses by race and ethnicity (White, Black, and Hispanic) and gender, we compared responses by conducting chi-squared tests for differences in proportions.</p> <p>Results</p> <p>We found that most Americans were knowledgeable about energy requirements for moderately active men (78%) and women (69%), but underestimated energy requirements for inactive adults (60%). Whites had significantly higher caloric literacy and confidence about their caloric knowledge than Blacks and Hispanics (p < 0.05). As compared to their counterparts, Blacks, Hispanics and women reported a significantly higher likelihood of eating at a chain restaurant and of selecting lower calorie foods where caloric information was posted. Most Americans favored the government requiring chain restaurants to post calorie information on menus at the point of purchase (68%). Support for government mandated calorie posting in chain restaurants was significantly higher among Blacks, Hispanics and women as compared to their counterparts. The public was divided about the mode of caloric information that would best help them make a lower calorie decision; a third favored number of calories (35%) which is the current standard mode of presenting caloric information in chain restaurants, a third favored a physical activity equivalent (26%), and a third favored percentage of total energy intake (39%).</p> <p>Conclusion</p> <p>Mandating calorie posting in chain restaurants may be a useful policy tool for promoting energy balance, particularly among Blacks, Hispanics and women who have higher obesity risk.</p