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

BACKGROUND: Diet quality indexes, including the Healthy Eating Index, 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 2 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. OBJECTIVES: Our 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 that 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 7 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.

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

BACKGROUND: Diet quality indexes, including the Healthy Eating Index, 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 2 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. OBJECTIVES: Our 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 that 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 7 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.

The Provision of Assistance Does Not Substantially Impact the Accuracy of 24-Hour Dietary Recalls Completed Using the Automated Self-Administered 24-H Dietary Assessment Tool among Women with Low Incomes.

Background: Evidence is lacking informing the use of the Automated Self-Administered 24-h Dietary Assessment Tool (ASA24) with populations characterized by low income. Objective: This study was conducted among women with low incomes to evaluate the accuracy of ASA24 recalls completed independently and with assistance. Methods: Three hundred and two women, aged ≥18 y and with incomes below the Supplemental Nutrition Assistance Program thresholds, served themselves from a buffet; amounts taken as well as plate waste were unobtrusively weighed to enable calculation of true intake for 3 meals. The following day, women completed ASA24-2016 independently (n = 148) or with assistance from a trained paraprofessional in a small group (n = 154). Regression modeling examined differences by condition in agreement between true and reported foods; energy, nutrient, and food group intakes; and portion sizes. Results: Participants who completed ASA24 independently and those who received assistance reported matches for 71.9% and 73.5% (P = 0.56) of items truly consumed, respectively. Exclusions (consumed but not reported) were highest for lunch (at which participants consumed approximately 2 times the number of distinct foods and beverages compared with breakfast and dinner). Commonly excluded foods were additions to main dishes (e.g., tomatoes in salad). On average, excluded foods contributed 43.6 g (46.2 kcal) and 40.1 g (43.2 kcal) among those in the independent and assisted conditions, respectively. Gaps between true and reported intake were different between conditions for folate and iron. Within conditions, significant gaps were observed for protein, vitamin D, and meat (both conditions); vitamin A, iron, and magnesium (independent); and folate, calcium, and vegetables (assisted). For foods and beverages for which matches were reported, no difference in the gap between true and reported portion sizes was observed by condition (P = 0.22). Conclusions: ASA24 performed relatively well among women with low incomes; however, accuracy was somewhat lower than previously observed among adults with a range of incomes. The provision of assistance did not significantly impact accuracy.

Examining Factors Associated with the Use of Community Food Resources: An Application of the Andersen Model to Inform Future Interventions.

The role of the food environment in shaping nutrition and health has gained substantial attention from policymakers, public health researchers, and advocacy groups. To promote equities in food access and nutrition outcomes, understanding factors linked with the utilization of local community food resources is crucial. Using Andersen's service utilization model, we explained how adults use their neighborhood food resources. In a cross-sectional study design, an online survey was conducted in REDCap Version 13.4.0 via the Amazon Mechanical Turk (MTurk) involving 1830 adults with a mean age of 37.9 ± 12.1 years. Participants answered questions on predisposing, enabling, and need factors that influence their use of different community food resources. The predisposing factors that were statistically significant included age, family size, marital status, race, and ethnicity. The enabling factors included travel time, travel mode, income, and shopping decision motivators (such as being able to use Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) vouchers, delivery services, great sales, and coupons). Food security and community food resources need for lower food price were the significant need factors. However, these factors vary by the types of food resources. In conclusion, enhancing the utilization of community-based food access initiatives and programs among underserved families requires consideration of family composition, racial and ethnic diversity, and transportation access.

Retail Soda Purchases Decrease and Water Purchases Increase: 6-Year Results From a Community-Based Beverage Campaign.

Introduction: This study aimed to document the long-term impacts on beverage sales of a 6-year intervention campaign to reduce consumption of sugar-sweetened beverages. Methods: In 2013, a multicomponent intervention campaign designed to reduce the intake of sugary drinks was launched in Howard County, Maryland. A difference-in-differences regression approach was used to compare data on Howard County supermarket beverage sales (in ounces) from 2013 to 2018 with a set of control supermarkets. Outcome variables were average weekly sales by store of top brands of sugar-sweetened beverages (regular soda, sports drinks, fruit drinks) as well as diet soda and 100% juice. Trends in the sales of water products from 2016 to 2018 were estimated separately using a linear regression model. Results: In Howard County, the sales of regular soda, fruit drinks, and 100% juice decreased significantly more than predicted each year. These changes correspond to a 29.7% decrease in sales for regular soda, a 7.5% decrease for fruit drinks, and a 33.5% drop for 100% juice between 2012 and 2018 in Howard County stores. There was a significant trend such that the net reduction in regular soda sales in Howard County stores became larger over time. The amount of plain water sold in Howard County increased significantly from 2016 to 2018. Conclusions: Multicomponent efforts by local government, nonprofit organizations, and other community-based organizations are needed to decrease sugar-sweetened beverage consumption at the population level. Substantial and sustained improvements in retail beverage sales can be achieved through coordinated messaging, community organizing, and targeted advocacy for policy changes.

The Accuracy of Portion Size Reporting on Self-Administered Online 24-Hour Dietary Recalls Among Women With Low Incomes.

BACKGROUND: Accurately estimating portion sizes remains a challenge in dietary assessment. Digital images used in online 24-hour dietary recalls may be conducive to accuracy. OBJECTIVE: The current analyses were conducted to examine the accuracy of portion size estimation by women with low incomes who completed 24-hour dietary recalls using the online Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) in the Food and Eating Assessment Study II. DESIGN: True dietary intake was observed for 3 meals on 1 day through a controlled feeding study conducted from May through July 2016. The following day, participants completed an unannounced 24-hour dietary recall using ASA24, independently or with assistance in a small-group setting. PARTICIPANTS/SETTING: Participants included 302 women aged 18 to 82 years living in the Washington, DC, area who met the income thresholds for the Supplemental Nutrition Assistance Program. MAIN OUTCOME MEASURES: The accuracy of portion size estimation was assessed by comparing the weight truly consumed (observed) and the weight reported for predetermined categories of foods and beverages. STATISTICAL ANALYSES PERFORMED: The differences between observed and reported portions were examined and linear regression tested differences by recall condition. Analyses were conducted by condition and repeated with stratification by racial/ethnic identity, education, and body mass index. RESULTS: On average across foods and beverages, reported portion sizes were 7.4 g (95% CI, 4.3-10.5) and 6.4 g (95% CI, 2.8-10.0) higher than observed portion sizes in the independent and assisted conditions, respectively. Portion sizes were overestimated for small pieces and shaped foods in both conditions, as well as for amorphous/soft foods in the assisted condition and underestimated for single-unit foods in both conditions. Misestimation was fairly consistent by participants' race/ethnicity, education, and body mass index, to varying magnitudes. CONCLUSIONS: Women with low incomes overestimated the amounts of foods and beverages consumed across several categories using online 24-hour dietary recalls with digital images to support portion size estimation. Assistance with ASA24 had little impact on accuracy.

Higher Fruit and Vegetable Intake Is Associated with Participation in the Double Up Food Bucks (DUFB) Program.

Incentivizing fruit and vegetable (F&V) purchases may help address barriers to healthy eating among populations with low income. In a repeated measures natural experiment study, we examined whether participation in the Double Up Food Bucks (DUFB) program increased F&V consumption among Supplemental Nutrition Assistance Program (SNAP) recipients. Two hundred and twelve participants recruited at baseline through telephone calls were informed about the availability of DUFB at their local farmers' market (FM). F&V consumption frequency and DUFB use were obtained at baseline, mid FM, and end of FM season approximately 5 months later. Participants (N = 212) were primarily white (76.4%) women (77.3%) with an average age of 43.5 years. Only 34 participants opted to use the DUFB program. A linear mixed model showed a significant main effect of DUFB use (p = 0.001) and of time (p = 0.002), with a decrease in F&V intake over time. Compared to non-users, DUFB users had a significantly higher F&V consumption at baseline and midpoint (p = 0.02 and p = 0.02, respectively). F&V consumption was associated with participation in the DUFB program and higher F&V consumption frequency was observed prior to program use among program participants. Future interventions that specifically target SNAP recipients with low F&V intake to use the DUFB program are needed.

Tackling Cultural Determinants of Health Through Nutrition Education Among Refugees.

Nutrition education provides an avenue to address nutrition behavior change needs and prevents chronic disease in refugee communities. Previous studies have consistently identified cultural uniqueness as one of the barriers to meeting the needs of the refugee communities effectively. This current perspective describes the barriers and opportunities to improve nutrition education efforts among this population while taking into account the cultural context.

Effectiveness of Expanded Food and Nutrition Education Program in Changing Nutrition-Related Outcomes Among Adults With Low Income: A Systematic Review.

OBJECTIVE: To review the effect of the Expanded Food and Nutrition Education Program (EFNEP) in changing nutrition-related outcomes. METHODS: Relevant research conducted before December 2020 was identified using PubMed, Web of Science, Google Scholar, and the EFNEP Research Database. The methodological quality of each eligible study was assessed. RESULTS: Of the 406 studies found, 30 were eligible; 26 studies were on EFNEP, and 4 included both EFNEP and Supplemental Nutrition Assistance Program Nutrition Education (SNAP-Ed). The sample sizes ranged from 35 to 122,961. Outcome measures included consumption of food groups, nutrients, other nutrition-related behaviors, and food security. At least 1 immediate behavior change (P < 0.05) was reported in each study, but long-term maintenance of behavior change was not evident. DISCUSSION: This review found a consistent, immediate improvement in nutrition behaviors after program participation but poor retention over time. Overall, variation in programming and outcome measures, incomplete reporting, and generally low study quality by modern standards precluded strong conclusions. IMPLICATIONS FOR RESEARCH AND PRACTICE: This review identified the need for control groups, improved reporting of program protocols, theory-based curriculum, and measurement of long-term outcomes.

A Scoping Review and Assessing the Evidence for Nutrition Education Delivery Strategies for Refugees in High-Income Countries.

Upon resettlement, refugees face many challenges, including limited knowledge of available food and food insecurity, that increase their risks of diet-related diseases. Nutrition education may help them better navigate the challenges of their new food environments and help them live healthier lives. This review assesses the evidence on nutrition education delivery strategies and outcomes among refugees in the United States and other high-income countries using Levac review guidelines. Multiple electronic databases were searched using combinations of the following terms: nutrition, food, cooking, or gardening; education, workshop, curriculum, class, literacy, or program; and refugee. The quality of the peer-reviewed papers was assessed using the Medical Education Research Study Quality Instrument (MERSQI) scoring method. A total of 1930 studies were identified, and 17 met the inclusion criteria. The mean MERSQI score of the peer-reviewed studies was 9.02 (SD, 3.3; range, 1-14). The key nutrition education delivery strategies included conducting a needs assessment and providing client-centered education, a collaborative approach in program design, and hands-on activities such as cooking and store visits. A refugee's literacy level, cultural, and language barriers are common challenges to nutrition education delivery. Because there is limited evidence regarding the efficacy of programs regarding changes in refugees' nutrition knowledge and diet-related behaviors, future research should include rigorously designed studies and the development and implementation of standardized assessment and training tools. The adoption of a context-specific and flexible model is important for effective nutrition education delivery among the refugee population.

Healthy Eating Index-2015 Scores Among Adults Based on Observed vs Recalled Dietary Intake.

BACKGROUND: The construct and predictive validity of the Healthy Eating Index (HEI) have been demonstrated, but how error in reported dietary intake may affect scores is unclear. OBJECTIVE: These analyses examined concordance between HEI-2015 scores based on observed vs reported intake among adults. DESIGN: Data were from two feeding studies (Food and Eating Assessment STudy, or FEAST, I and II) in which true intake was observed for three meals on 1 day. The following day, participants completed an unannounced 24-hour dietary recall. PARTICIPANTS/SETTING: FEAST I (2012) included 81 men and women, aged 20 to 70 years, living in the Washington, DC, area. FEAST II (2016) included 302 women, aged 18 years or older, with low household incomes and living in the Washington, DC, area. In FEAST I, recalls were completed independently using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24-2011) or interviewer-administered using the Automated Multiple-Pass Method. In FEAST II, recalls were completed using ASA24-2016, independently or in a small group setting with assistance. MAIN OUTCOME MEASURES: HEI-2015 scores were calculated using the population ratio method. STATISTICAL ANALYSES PERFORMED: T-tests determined whether differences between scores based on observed and reported intake were different from zero. FEAST I data were stratified by sex, and in FEAST II, analyses were repeated by education and body mass index (BMI). RESULTS: Differences in total HEI-2015 scores between observed and reported intake ranged from -1.3 to 5.8 points among those completing ASA24 independently in both studies, compared with -2.5 points in the small group setting. For interviewer-administered recalls, the differences were -1.1 for men and 2.3 for women. In FEAST II, total HEI-2015 scores derived from observed intake were lower than scores derived from reported intake among those who had completed high school or less (-3.2, SE 1.1, P<0.01) and those with BMI ≥ 30 (-2.8, SE 1.1, P = 0.01). CONCLUSIONS: HEI-2015 scores based on 24-hour dietary recall data are generally well estimated.

Racial Differences in Perceived Food Swamp and Food Desert Exposure and Disparities in Self-Reported Dietary Habits.

Both food swamps and food deserts have been associated with racial, ethnic, and socioeconomic disparities in obesity rates. Little is known about how the distribution of food deserts and food swamps relate to disparities in self-reported dietary habits, and health status, particularly for historically marginalized groups. In a national U.S. sample of 4305 online survey participants (age 18+), multinomial logistic regression analyses were used to assess by race and ethnicity the likelihood of living in a food swamp or food desert area. Predicted probabilities of self-reported dietary habits, health status, and weight status were calculated using the fitted values from ordinal or multinomial logistic regression models adjusted for relevant covariates. Results showed that non-Hispanic, Black participants (N = 954) were most likely to report living in a food swamp. In the full and White subsamples (N = 2912), the perception of residing in a food swamp/desert was associated with less-healthful self-reported dietary habits overall. For non-Hispanic Blacks, regression results also showed that residents of perceived food swamp areas (OR = 0.66, p < 0.01, 95% CI (0.51, 0.86)) had a lower diet quality than those not living in a food swamp/food desert area. Black communities in particular may be at risk for environment-linked diet-related health inequities. These findings suggest that an individual's perceptions of food swamp and food desert exposure may be related to diet habits among adults.

Being Motivated by Nutrition Is Associated With Healthy Home Food Environment of Supplemental Nutrition Assistance Program (SNAP) Recipients.

OBJECTIVE: To examine the relationship between food shopping motivating factors and the home food environment (HFE). METHODS: Participants in the Supplemental Nutrition Assistance Program (n = 123) who were taking part in the Utah State Double-Up Food Bucks evaluation program were interviewed about their HFE, factors motivating shopping, and food security status. Composite HFE scores were derived from the Perceived Nutrition Environment Measure Survey questionnaire and food security score from the 6-item US Household Food Security Survey questionnaire. Analysis included multiple linear regression. RESULTS: Mean age was 46 ± 16.1 years. Regression models showed significant associations of being motivated by nutrition, education, and food security with HFE (ß = 4.70, P = .03; ß = 1.44, P = .06; and ß = 1.44, P = .06, respectively). CONCLUSION AND IMPLICATIONS: In-store interventions to improve perceived nutrition importance among shoppers may be a useful tool to improve home food supplies. Further research is recommended examining the association between food shopping motivators and the HFE in a larger population.

Double Up Food Bucks Participation is Associated with Increased Fruit and Vegetable Consumption and Food Security Among Low-Income Adults.

OBJECTIVE: To evaluate the effect of the Utah Double Up Food Bucks (DUFB) program on fruit and vegetable (F&V) intake and food security status among Supplemental Nutrition Assistance Program (SNAP) recipients. METHODS: Data were collected in 2015, using a before-and-after study design. At the farmers' market, a convenience sample of SNAP recipients was recruited for a survey and a 4-week telephone follow-up survey. Differences between the 2 surveys in food security and F&V intake were tested using the Wilcoxon signed-rank test. RESULTS: Follow-up surveys were completed with 138 (40%) of the 339 baseline participants. Median F&V consumption increased from 2.82 times per day to 3.29 times per day (median, interquartile range 1.48-3.99 and 3.28-5.02, respectively, P = .002). The percentage of DUFB participants who were food secure increased by 15% (P = .001). CONCLUSIONS AND IMPLICATIONS: The present results add to the growing literature indicating farmers' market incentives are associated with increased F&V consumption and decreased food insecurity. Although more research is needed, farmers' market incentives may be an effective area of policy intervention.