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.

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.

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.

An Evaluation of Inter-coder and Intra-coder Reliability for 24-Hour Dietary Recall Data Entered in WebNEERS.

OBJECTIVE: To evaluate inter-coder (between-coder) and intra-coder (within-coder) reliability among trained data coders who enter 24-hour dietary recall data collected through Expanded Food and Nutrition Education Program operations in the state of Georgia. DESIGN: This study employed multiple cross-sectional evaluations of inter-coder reliability and a short-term longitudinal evaluation of intra-coder reliability. PARTICIPANTS/SETTING: Study participants consisted of trained data coders (n = 9) who were employed during the 12-month period of evaluation. MAIN OUTCOME MEASURES: Primary outcome measures were inter-coder and intra-coder reliability across data entered into the Web-based Nutrition Education Evaluation and Reporting System. Statistical analyses were conducted using IBM SPSS 24. Descriptive statistics were generated and inter-coder and intra-coder reliability were assessed using 2-way mixed intraclass correlation coefficients. RESULTS: Results of this evaluation indicated good to excellent inter-coder reliability among all coders, and excellent intra-coder reliability among the majority of coders. However, some notable inconsistencies were identified within the intra-coder reliability analyses. CONCLUSIONS: Future strategies to improve data quality within Expanded Food and Nutrition Education Program operations might include enhanced training for data coders, implementation of error detection protocols, expansion of the Web-based Nutrition Education Evaluation and Reporting System database, and exploration of automated, computer-assisted administration of 24-hour dietary recalls.

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.

The Grocery Purchase Quality Index-2016 Performs Similarly to the Healthy Eating Index-2015 in a National Survey of Household Food Purchases.

BACKGROUND: Household food purchases are potential indicators of the quality of the home food environment, and grocery purchase behavior is a main focus of US Department of Agriculture (USDA) nutrition education programs; therefore, objective measures of grocery purchases are needed. OBJECTIVE: The objective of the study was to evaluate the Grocery Purchase Quality Index-2016 (GPQI-2016) as a tool for assessing grocery food purchase quality by using the Healthy Eating Index-2015 (HEI-2015) as the reference standard. DESIGN: In 2012, the USDA Economic Research Service conducted the National Household Food Acquisition and Purchase Survey. Members of participating households recorded all foods acquired for a week. Foods purchased at stores were mapped to the 29 food categories used in USDA Food Plans, expenditure shares were estimated, and GPQI-2016 scores were calculated. USDA food codes, provided in the survey database, were used to calculate the HEI-2015. PARTICIPANTS/SETTING: All households in the 48 coterminous states were eligible for the survey. The analytic sample size was 4,276 households. MAIN OUTCOME MEASURES: GPQI-2016 and HEI-2015 scores were compared. STATISTICAL ANALYSES PERFORMED: Correlation of scores was assessed using Spearman's correlation coefficient. Linear regression models with fixed effects were used to determine differences among various subgroups of households. RESULTS: The correlation coefficient for the total GPQI-2016 score and the total HEI-2015 score was 0.70. For the component scores, the strongest correlations were for Total and Whole Fruit (0.89 to 0.90); the weakest were for Dairy (0.67), Refined Grains (0.66), and Sweets and Sodas/Added Sugars (0.65) (all, P<0.01). Both the GPQI-2016 and HEI-2015 were significantly different among subgroups in expected directions. CONCLUSIONS: Overall, the GPQI-2016, estimated from a national survey of households, performed similarly to the HEI-2015. The tool has potential for evaluating nutrition education programs and retail-oriented interventions when the nutrient content and gram weights of foods purchased are not available.

An energy-reduced dietary pattern, including moderate protein and increased nonfat dairy intake combined with walking promotes beneficial body composition and metabolic changes in women with excess adiposity: a randomized comparative trial.

Moderate protein and nonfat dairy intake within an energy-reduced diet (ERD) may contribute to health benefits achieved with body weight (BW) loss. The current study examined the effectiveness of a weight-loss/weight-loss maintenance intervention using an ERD with moderate dietary protein (30% of kcals) and increased nonfat dairy intake (4-5 svg/d), including yogurt (INT group) and daily walking compared to an ERD with standard protein (16-17% of kcals) and standard nonfat dairy intake (3 svg/d) (COM group) with daily walking. A randomized comparative trial with 104 healthy premenopausal women with overweight/obesity was conducted in a university setting. Women were randomized to INT group or COM group. Anthropometric measurements, as well as dietary intake, selected vital signs, resting energy expenditure, blood lipids, glucose, insulin, and selected adipose-derived hormones were measured at baseline, and weeks 2, 12, and 24. Targets for dietary protein and nonfat dairy intake, while initially achieved, were not sustained in the INT group. There were no significant effects of diet group on anthropometric measurements. Women in the INT group and COM group, respectively, reduced BW (-4.9 ± 3.2 and -4.3 ± 3.3 kg, P < 0.001) and fat mass (-3.0 ± 2.2 and -2.3 ± 2.3 kg, P < 0.001) during the 12-week weight-loss phase and maintained these losses at 24 weeks. Both groups experienced significant decreases in body mass index, fat-free soft tissue mass, body fat percentage, waist and hip circumferences and serum triglycerides, total cholesterol, and leptin (all P < 0.001). Healthy premenopausal women with excess adiposity effectively lost BW and fat mass and improved some metabolic risk factors following an ERD with approximately 20% protein and 3 svg/d of nonfat dairy intake.