Fruit and Vegetable Healthy Eating Index Component Scores of Distributed Food Bags Were Positively Associated with Client Diet Scores in a Sample of Rural, Midwestern Food Pantries

Evaluation of US Department of Agriculture Foods Programs for Households Using Nutrition Guidelines for the Charitable Food System

BACKGROUND

US Department of Agriculture (USDA) Foods programs for households (ie, The Emergency Food Assistance Program, Food Distribution Program on Indian Reservations, and Commodity Supplemental Food Program) are designed to provide nutritious foods at no cost to income-eligible individuals in the United States.

OBJECTIVE

Our aim was to evaluate the nutritional quality of the foods available from 3 USDA Foods programs for households (ie, The Emergency Food Assistance Program, Food Distribution Program on Indian Reservations, and Commodity Supplemental Food Program) according to the Healthy Eating Research (HER) Guidelines for the Charitable Food System.

DESIGN

Review of the nutritional information of the foods available from USDA Foods programs for households was performed. Using the HER Guidelines, foods were categorized into a 3-tiered system (ie, choose often/green; choose sometimes/yellow; choose rarely/red) based on levels of saturated fat, sodium, and added sugar per serving, and presence of whole grains.

SETTING

All unique foods available from The Emergency Food Assistance Program, Food Distribution Program on Indian Reservations, and Commodity Supplemental Food Program (n = 152) for fiscal year 2022 were evaluated.

MAIN OUTCOME MEASURES

Nutritional quality of the foods available from USDA Foods programs for households according to the HER guidelines was measured. Foods were ranked green, yellow, red, or not ranked.

STATISTICAL ANALYSES PERFORMED

The proportion of foods in each HER Guidelines' rank was calculated across the 3 USDA Foods programs for households and by each program.

RESULTS

The majority of USDA Foods were ranked green (57.3%) or yellow (35.5%). A small number of items were ranked red (3.3%) or were unranked condiments or cooking staples (3.9%).

CONCLUSIONS

The USDA Foods available in the household programs were primarily fruits and vegetables; lean proteins; whole grains; and low-fat dairy products that were consistent with national dietary guidelines. There is some room for improvement, and adjustments in the specifications for certain items are recommended to strengthen the nutritional value of the foods provided through these important federal programs.

New Exponential Scoring Functions for Diet Quality Indexes Solve Problems Caused by Truncation

BACKGROUND

Diet quality indexes, including the Healthy Eating Index (HEI), assess diets based on usual dietary intakes and a scoring function. Nearly all diet quality indexes use scoring functions that have floors and ceilings, thereby truncating the scores and losing information about intakes outside the scoring range. This score truncation has two important impacts: 1) the index does not reflect all intakes; and 2) the assumption that measurement error in intake reporting has a neutral impact on the diet quality score cannot be upheld.

OBJECTIVE

The main objective was to devise new diet quality scoring functions that eliminate truncation and its attendant problems.

METHODS

Seven desirable properties of a new scoring function were identified: 1) avoid truncations in component scoring to prevent information loss and to provide scoring sensitivity in the currently truncated regions; 2) reduce dependency on the accuracy of dietary standards; 3) minimize measurement error bias and subsequent misclassification; 4) relate plausibly to biological processes; 5) possess desirable mathematical and statistical properties; 6) have simple representations which are easy to calculate and add minimum artifacts of their own; and 7) otherwise closely mimic existing scoring functions.

RESULTS

The recommended replacement for piecewise-linear scoring is a family of scoring functions based on exponentials. For components where higher intakes are better, the function is a single exponential. For components where lower intakes are better, the function is a concave-convex mirrored pair of exponentials. The proposed exponential scoring functions have all seven desired properties.

CONCLUSIONS

The proposed exponential scoring functions will improve the usefulness of dietary scoring indexes by eliminating truncations. Compared to existing scoring functions, the use of exponentials makes the scores more inclusive of very high and very low intakes, reduces measurement error bias, and is less sensitive to the exact placement of the scoring standards.

Applying the Healthy Eating Index-2015 in a Sample of Choice-Based Minnesota Food Pantries to Test Associations Between Food Pantry Inventory, Client Food Selection, and Client Diet

BACKGROUND

Food pantry clients are at a high risk for diet-related chronic disease and suboptimal diet. Relatively little research has examined diet quality measures in choice-based food pantries where clients can choose their own food.

OBJECTIVE

This study tested whether the diet quality scores for food at the pantry were associated with client food selection scores, and whether client food selection scores at the pantry were associated with client diet intake scores.

DESIGN

This cross-sectional regression analysis, part of a larger evaluation study (SuperShelf), used baseline data from client and food pantry surveys, food pantry inventories, assessments of client food selections ("client carts"), and single 24-hour client dietary recalls.

PARTICIPANTS/SETTING

The analysis includes 316 clients who completed a survey (282 of whom completed a dietary recall measure) from one of 16 choice-based Minnesota food pantries during 2018-2019. Adult English, Spanish, or Somali-speaking clients were eligible in the case that they had selected food on the day of recruitment at their food pantry visit.

MAIN OUTCOME MEASURES

A Healthy Eating Index-2015 (HEI-2015) Total score and 13 subcomponent scores were calculated for: pantry food inventories of food available on the shelf, client carts, and a 24-hour client dietary recall.

STATISTICAL ANALYSIS

Descriptive statistics were generated for client and food pantry characteristics, and for HEI-2015 Total score and subcomponent scores. Linear regression models tested the association between HEI-2015 Total score and subcomponent scores for food pantry inventory and client carts, and for client carts and dietary recalls, adjusted for covariates.

RESULTS

Food pantry inventory HEI-2015 Total score averaged 65.1, client cart Total score averaged 60.8, and dietary recall Total score averaged 50.9. The diet quality scores for inventory were not associated with client cart scores, except for Added Sugars (P = .005). Client cart HEI-2015 Total score was positively associated with client diet HEI-2015 Total score (P = .002) and associations for Total Fruits, Whole Fruits, Total Vegetables, Greens and Beans, Whole Grains, Seafood and Plant Proteins, and Added Sugars subcomponents were statistically significant.

CONCLUSIONS

In choice-based Minnesota food pantries, the diet quality of food selected by clients was positively associated with client diet quality.

Barriers to Accessing Healthy Food and Food Assistance During the COVID-19 Pandemic and Racial Justice Uprisings: A Mixed-Methods Investigation of Emerging Adults' Experiences

Background

A steep rise in food insecurity is among the most pressing US public health problems that has resulted from the COVID-19 pandemic.

Objective

This study aimed to (1) describe how food-insecure emerging adults are adapting their eating and child-feeding behaviors during COVID-19 and (2) identify barriers and opportunities to improve local food access and access to food assistance.

Design

The COVID-19 Eating and Activity Over Time study collected survey data from emerging adults during April to October 2020 and completed interviews with a diverse subset of food-insecure respondents.

Participants/setting

A total of 720 emerging adults (mean age: 24.7 ± 2.0 years; 62% female; 90% living in Minnesota) completed an online survey, and a predominately female subsample (n = 33) completed an interview by telephone or videoconference.

Main outcome measures

Survey measures included the short-form of the US Household Food Security Survey Module and 2 items to assess food insufficiency. Interviews assessed eating and feeding behaviors along with barriers to healthy food access.

Analyses performed

Descriptive statistics and a hybrid deductive and inductive content analysis.

Results

Nearly one-third of survey respondents had experienced food insecurity in the past year. Interviews with food-insecure participants identified 6 themes with regard to changes in eating and feeding behavior (eg, more processed food, sporadic eating), 5 themes regarding local food access barriers (eg, limited enforcement of COVID-19 safety practices, experiencing discrimination), and 4 themes regarding barriers to accessing food assistance (eg, lack of eligibility, difficulty in locating pantries). Identified recommendations include (1) expanding the distribution of information about food pantries and meal distribution sites, and (2) increasing fresh fruit and vegetable offerings at these sites.

Conclusions

Interventions of specific relevance to COVID-19 (eg, stronger implementation of safety practices) and expanded food assistance services are needed to improve the accessibility of healthy food for emerging adults.

Adolescent-Reported Food Insecurity: Correlates of Dietary Intake and School Lunch Behavior

Much of what is known about food insecurity (FI) experiences for young people is based on caregiver report. As such, our understanding of relationships between youth FI and dietary intake (DI) may be limited, particularly among adolescents who often eat away from home. This study examined relationships between youth-reported past-month FI, past-week DI, and school lunch behavior. Data are from middle and high school participants in the 2019 Minnesota Student Survey (N = 125,375), one of the longest-running youth surveys in the US. Logistic regression assessed relationships between FI and DI, including fruit, vegetable, milk, sugar-sweetened beverage (SSB), and fast food consumption, and school lunch behavior, adjusting for demographic, physical, and emotional health indicators. Past-month FI was associated with reduced odds of meeting minimum thresholds for daily fruit, vegetable, and milk intake, and increased odds of daily SSB and frequent fast food consumption. Among food-insecure students, no participation in the National School Lunch Program (NSLP) or NSLP participation uncertainty was associated with increased odds of skipping lunch. Findings suggest the importance of clinical and community innovations to prevent the loss of nutritional quality in favor of energy density for youth and families experiencing FI.