Screening for Food Insecurity, Accessing Healthy Foods, and Resources for Patients

Food Insecurity and access to healthy food is a large health care issue in the United States, Vermont, and Chittenden County. This project aimed to educate health care providers at Colchester Family Practice about food insecurity to increase the amount of patients screened for food insecurity. The project also investigated local resources for people with food insecurity and made this information available to providers so they are better able to help people struggling with food insecurity.https://scholarworks.uvm.edu/fmclerk/1427/thumbnail.jp

Food Surpluses and Food Insecurity

Provides a historical overview of Israeli agricultural policy and examines the paradox of the creation and destruction of agricultural surpluses. Includes long-term recommendations aimed at overhauling the current system of agricultural subsidies

No. 02: The State of Urban Food Insecurity in Southern Africa

The number of people living in urban areas is rising rapidly in Southern Africa. By mid-century, the region is expected to be 60% urban. Rapid urbanization is leading to growing food insecurity in the region’s towns and cities. This paper presents the results of the first ever regional study of the prevalence of food insecurity in Southern Africa. The AFSUN food security household survey was conducted simultaneously in 2008-9 in 11 cities in 8 SADC countries. The results confirm high levels of food insecurity amongst the urban poor in terms of food availability, accessibility, reliability and dietary diversity. The survey provides important insights into the causes of food insecurity and the kinds of households that are most vulnerable to food insecurity. It also shows the heavy reliance of the urban poor on informal food sources and the growing importance of supermarket chains

Household food insecurity and mental distress among pregnant women in Southwestern Ethiopia : a cross sectional study design

Background: There are compelling theoretical and empirical reasons that link household food insecurity to mental distress in the setting where both problems are common. However, little is known about their association during pregnancy in Ethiopia. Methods: A cross-sectional study was conducted to examine the association of household food insecurity with mental distress during pregnancy. Six hundred and forty-two pregnant women were recruited from 11 health centers and one hospital. Probability proportional to size (PPS) and consecutive sampling techniques were employed to recruit study subjects until the desired sample size was obtained. The Self Reporting Questionnaire (SRQ-20) was used to measure mental distress and a 9-item Household Food Insecurity Access Scale was used to measure food security status. Descriptive and inferential statistics were computed accordingly. Multivariate logistic regression was used to estimate the effect of food insecurity on mental distress. Results: Fifty eight of the respondents (9 %) were moderately food insecure and 144 of the respondents (22.4 %) had mental distress. Food insecurity was also associated with mental distress. Pregnant women living in food insecure households were 4 times more likely to have mental distress than their counterparts (COR = 3.77, 95 % CI: 2.17, 6.55). After controlling for confounders, a multivariate logistic regression model supported a link between food insecurity and mental distress (AOR = 4.15, 95 % CI: 1.67, 10.32). Conclusion: The study found a significant association between food insecurity and mental distress. However, the mechanism by which food insecurity is associated with mental distress is not clear. Further investigation is therefore needed to understand either how food insecurity during pregnancy leads to mental distress or weather mental distress is a contributing factor in the development of food insecurity

A competing risk model for health and food insecurity in the West Bank

This paper explores the interactions between the risk of food insecurity and the decision to health insure in the Palestinian Territories. The risk of adverse health conditions is insurable; the risk of food insecurity is a background risk and no market insurance exists. The vulnerability to food insecurity influences the individual utility from health insuring. We present a competing risk model to reveal this interdependence. We specify the empirical model as a bivariate probit model and evaluate the impact of food insecurity on the household decision to health insure. We find evidence of significant complementarity between the risk of food insecurity and the propensity to health insure. The predicted conditional probabilities reveal that the propensity to health insure is higher in presence of food insecurity among Palestinian households. This study shows that, in presence of a background risk, there are complementarities among risks that policy should be mindful of

State-Level and County-Level Estimates of Health Care Costs Associated with Food Insecurity.

IntroductionFood insecurity, or uncertain access to food because of limited financial resources, is associated with higher health care expenditures. However, both food insecurity prevalence and health care spending vary widely in the United States. To inform public policy, we estimated state-level and county-level health care expenditures associated with food insecurity.MethodsWe used linked 2011-2013 National Health Interview Survey/Medical Expenditure Panel Survey data (NHIS/MEPS) data to estimate average health care costs associated with food insecurity, Map the Meal Gap data to estimate state-level and county-level food insecurity prevalence (current though 2016), and Dartmouth Atlas of Health Care data to account for local variation in health care prices and intensity of use. We used targeted maximum likelihood estimation to estimate health care costs associated with food insecurity, separately for adults and children, adjusting for sociodemographic characteristics.ResultsAmong NHIS/MEPS participants, 10,054 adults and 3,871 children met inclusion criteria. Model estimates indicated that food insecure adults had annual health care expenditures that were $1,834 (95$1,073-2,595, P < .001) higher than food secure adults. For children, estimates were 80 higher, but this finding was not significant (95% CI, -$171 to$329, P = .53). The median annual health care cost associated with food insecurity was $687,041,000 (25th percentile,$239,675,000; 75th percentile, $1,140,291,000). The median annual county-level health care cost associated with food insecurity was$4,433,000 (25th percentile, $1,774,000; 75th percentile,$11,267,000). Cost variability was related primarily to food insecurity prevalence.ConclusionsHealth care expenditures associated with food insecurity vary substantially across states and counties. Food insecurity policies may be important mechanisms to contain health care expenditures

The Impact of Coronavirus on Vermonters Experiencing Food Insecurity

Key Findings 1. Respondents experiencing food insecurity were more likely to be people of color, female, live in households with children, and live in larger households. 2. 84.2% of respondents who experienced food insecurity at some point in the year before the coronavirus pandemic remained food insecure during the early days of the outbreak. 3. The majority of respondents experiencing food insecurity are not utilizing food assistance programs. 4. ⅔ of respondents experiencing food insecurity are already buying different, cheaper foods or eating less to make their food last. 5. ⅔ of respondents experiencing food insecurity with a job had job disruption or loss since the coronavirus outbreak. 6. Vermonters are helping each other – there was a reported doubling in the percentage of people receiving their food via delivery from other people

Mapping food insecurity and food sources in New Hampshire cities and towns

Using a series of detailed New Hampshire maps, this brief presents a geographic picture of the towns and cities at risk for food insecurity as well as the food resources available across the state. By detailing places with high food insecurity risk and comparing them to places where food is available, these maps show areas of unmet need. This information will enable organizations partnering with New Hampshire Hunger Solutions to identify where initiatives addressing food insecurity and hunger could have the greatest potential impact

Estimating the prevalence of hunger and food insecurity: The validity of questionnaire-based measures for the identification of households

This study had three objectives: (1) to assess the validity of questionnaire-based measures in identifying households experiencing hunger and food insecurity, (2) to examine the interrelationships of different questionnaire-based measures, and (3) to examine the construction of a continuous food insecurity scale intended to differentiate three levels of food insecurity within households. A 1993 survey of 193 randomly sampled rural households with women and children living at home provided data on demographics, risk factors for food insecurity, Radimer/Cornell, CCHIP, and NHANES III hunger and food insecurity items, coping strategies, fruit and vegetable consumption, disordered eating behaviors, height, weight, dietary recall, and household food-stores inventory. This information was used to develop a definitive criterion measure for hunger and food insecurity, against which the Radimer/Cornell and CCHIP questionnaire-based measures, the NHANES III item, and the continuous food insecurity scale were tested for their specificity and sensitivity in measuring levels of food insecurity.

Do Food Prices Affect Food Security? Evidence from the CPS 2002-2006

In this paper, we estimate the effect of food prices on food insecurity for SNAP recipients using data from the Current Population Survey and the recently published Quarterly Food At Home Price Database. We form a local food price index based on amounts of food for a household of four as established by the Thrifty Food Plan. We use an econometric model that accounts for the endogeneity of SNAP receipt to food insecurity and for household-level unobservables. We find that the average effect of food prices on the probability of food insecurity is positive and significant: an increase of one standard deviation in the price of our food basket is associated with an increase in food insecurity of between 1.3 and 2 percentage points for SNAP households. These results are fairly large in terms of the prevalence of food insecurity in our sample. An increase in food insecurity of this magnitude would be about 8 percent of total food insecurity prevalence for the populations in question. These results suggest that indexing SNAP benefits to local food prices could improve its ability to ameliorate the effects of food insecurity.food price, food insecurity, SNAP, discrete factor model, Demand and Price Analysis, Food Security and Poverty, I38,