Food Insecurity in the Rural United States: An Examination of Struggles and Coping Mechanisms to Feed a Family among Households with a Low-Income.

Households with a low-income in rural places experience disproportionate levels of food insecurity. Further research is needed about the nuances in strategies that households with a low-income in rural areas apply to support food security nationally. This study aimed to understand the barriers and strategies that households with a low-income in rural areas experience to obtain a meal and support food security in the United States.

Food Insecurity during COVID-19.

For a decade, Feeding America's Map the Meal Gap (MMG) has provided sub-state-level estimates of food insecurity for both the full population and for children. Along with being extensively used by food banks, it is widely used by state and local governments to help plan responses to food insecurity in their communities. In this paper, we describe the methods underpinning MMG, detail the approach Feeding America has used to make projections about the geography of food insecurity in 2020, and how food insecurity rates may have changed due to COVID-19 since 2018.

Food Preferences and Coping Strategies among Diabetic and Nondiabetic Households Served by US Food Pantries.

Limited access to healthy food caused by food insecurity makes diabetes mellitus (DM) self-management more challenging. Using data from (n = 60,122 US food pantry users), we sought to understand food preferences and coping strategy utilization (e.g.

Using Household Fit Indices to Examine the Psychometric Quality of Food Insecurity Measures.

This study focuses on model-data fit with a particular emphasis on household-level fit within the context of measuring household food insecurity. Household fit indices are used to examine the psychometric quality of household-level measures of food insecurity. In the United States, measures of food insecurity are commonly obtained from the U.

Health-related quality of life of people with HIV: an assessment of patient related factors and comparison with other chronic diseases.

Objectives: The health-related quality of life (HRQOL) of people with HIV is lower than in the general population, but it is unknown how it compares with that of persons with other chronic medical conditions. We compared HRQOL in HIV with HRQOL in diabetes mellitus type 1, diabetes mellitus type 2 and rheumatoid arthritis (RA). In addition, we investigated factors associated with HRQOL in HIV.