Development of the Healthy Eating Index-Toddlers-2020

Breastfeeding beyond infancy supports adequate growth, development, and nutritional intake

BACKGROUND AND OBJECTIVE

The objective of this study was to examine the associations of breastfeeding beyond infancy (BBI, >1 year) on toddler growth, development, and diet.

METHODS

Participants (n = 185) of a prospective longitudinal study were categorized into 3 groups: formula fed (FF, N = 22), breastfed up to 12 months (BF, N = 108), and breastfed up to 24 months (PBF, N = 55). Data collected included demographics, anthropometrics, toddler Healthy Eating Index (HEI), Child Feeding Questionnaire (CFQ), and Bayley scales of infant and toddler development (BSID).

RESULTS

At age 24 months, linear modeling showed PBF children had lower weight-for-length z-scores in comparison to both FF and BF children. FF infants had lower HEI scores for total fruit compared to BF and PBF infants, whereas PBF infants had higher seafood HEI scores. Feeding responsibility was lower in BF parents than FF parents. Restriction was lower in BF and FF groups compared to PBF, and pressure feeding was less common in PBF. Developmental testing revealed no significant differences between the three groups.

CONCLUSION

These results strengthen evidence that BBI supports adequate childhood growth, nutritional status, and development. Further studies are needed to evaluate the effect of BBI on health status in childhood.

CLINICAL TRIAL ID

#NCT01131117 IMPACT: This research supports the current recommendations to continue breastfeeding up to 24 months. This research indicates that breastfeeding beyond infancy supports adequate growth, nutritional status, and overall development. This article adds to the growing body of literature that breastfeeding beyond 12 months should be supported. This article is one of the first prospective longitudinal studies to investigate breastfeeding beyond infancy.

Two a Priori Dietary Indices among Young Children in the Children's Healthy Living (CHL) Trial: Validation and Association with Health Outcomes

BACKGROUND

Children's diets affect multiple health outcomes. Dietary indices are a useful tool for quantifying the quality of the overall diet, but their performance may differ among children of different ages and in understudied populations.

OBJECTIVES

This analysis aimed to validate 2 dietary indices and examine their associations with physical body measures among 2-8-y-old children of the United States-Affiliated Pacific region.

METHODS

Data were collected on children (n = 2359) from 5 jurisdictions of the children's healthy living randomized control trial in independent cross-sectional cluster samples over 3-time points. Anthropometric measurements were taken, and dietary intakes were ascertained from 2 d of dietary records completed by caregivers. The Healthy Eating Index (HEI)-2020 and dietary approaches to stop hypertension (DASH) scores were calculated using a simple scoring algorithm, their construct validity and performance were evaluated, and associations with nutrient intake, body measures, and obesity status were examined using covariate-adjusted means and unconditional logistic regression.

RESULTS

We observed a wide range of variation in DASH (9-38 points) and HEI-2020 (10-94.7 points), clear separation of mean component scores by quintile of the total score, and multiple dimensions for each index. Significant trends in polyunsaturated and saturated fat were observed from the lowest to the highest quintile of HEI-2020 (12% higher and 21% reduction, respectively) but not for DASH. Significant differences by quintile of DASH and HEI-2020 were found for mean body mass index z-score among 6-8-y-olds and for waist circumference among boys and 6-8-y-olds. The odds of obesity exhibited statistically significant downward trends across quintiles of HEI-2020 among all participants and in all sexes and age groups, and across quintiles of DASH among all participants, boys and 6-8-y-olds.

CONCLUSIONS

We found that HEI-2020 is a better measure of dietary intake than DASH in this population of 2-8-y-old children of the United States-Affiliated Pacific region.

Influence of infant feeding practices on childhood dietary patterns in Upstate KIDS

BACKGROUND

Earlier feeding practices may influence dietary preference. We evaluated if age of introduction to select complementary foods shape intake and diet quality as measured by the Youth Healthy Eating Index (YHEI) in childhood.

METHODS

Parents from the Upstate KIDS cohort reported complementary food introduction of 4-12-month-old infants on food questionnaires. Children with information on infant feeding and diet at 30-36 m (n = 2826) and 7-9 years of age (n = 1449) were included. Associations of age of complementary food introduction with intake in childhood were modeled with Poisson regression and diet quality score with linear models, adjusting for sociodemographic factors.

RESULTS

Approximately 84 % (n = 2383) of mothers were non-Hispanic White and about 19 % (n = 526) of children were twins. At 30-36 months, compared to introducing fruits and vegetables between 5 and 8 months, introducing later was associated with 13 % lower daily intake of fruits and vegetables (aRR, 0.87; 95 %CI: 0.79, 0.95); while dairy and grains were associated with a 10 % and 17 % lower intake, respectively. Later introduction of protein was associated with 6 % (aRR, 0.94; 95 %CI: 0.90, 0.98) lower intake. For diet quality, introducing fruits and vegetables later (adjusted B: -4.01; 95 %CI: -7.42, -0.60) was associated with lower diet quality relative to 5-8 m. Later (adjusted B: -1.98; 95 %CI: -3.21, -0.74) introduction to dairy was associated with lower diet quality.

CONCLUSION

Timing of select complementary foods was associated with lower subsequent intake and lower diet quality in childhood. Further research is needed to evaluate feeding practices that may affect food preferences during infancy as a way to impact healthy dietary patterns and diet quality.

Association of household food insecurity with diet quality in a nationally representative sample of United States toddlers: a cross-sectional study

BACKGROUND

Although previous research has shown that food insecurity adversely affects diet quality in adults, this relationship is less consistently observed in children. However, studies in children have focused on those aged 2 y or older and the association of food insecurity with diet quality in children aged 12-23 mo is unclear.

OBJECTIVES

The objective was to determine the association of household food insecurity with diet quality, as indicated by Healthy Eating Index-Toddlers-2020 (HEI-Toddlers-2020), in United States children aged 12-23 mo.

METHODS

The study used a cross-sectional design based on data from 2013-2014, 2015-2016, and 2017-March 2020 survey cycles of National Health and Nutrition Examination Survey. The primary sample included 708 children aged 12-23 mo with 1) complete data on food security, assessed via the United States Food Security Survey Module (USFSSM); 2) ≥1 d of reliable 24-h dietary recall data; and 3) reported energy intake from complementary foods/beverages (that is, foods and beverages other than human milk or infant formula). On the basis of responses to USFSSM, households were classified as food secure or food insecure. Proxies, typically parents, reported child's dietary intake. Diet quality was assessed using the HEI-Toddlers-2020. Linear regression analyses examined the association of household food security status with HEI-Toddlers-2020 total and component scores, adjusted for demographic characteristics.

RESULTS

Household food insecurity was significantly associated with lower HEI-Toddlers-2020 total score (estimate = -3.78; standard error = 1.06; P = 0.0007), as well as lower component scores for whole fruits (estimate = -0.56; standard error = 0.18; P = 0.003), and whole grains (estimate = -0.85; standard error = 0.35; P = 0.02).

CONCLUSIONS

The association of household food insecurity with lower diet quality in this study suggests that toddlers may not be shielded from household food shortages. Although consumption of certain food groups, such as whole grains, was inadequate in the overall sample of United States toddlers, food insecurity could exacerbate suboptimal intake of whole grains. Interventions to improve diet quality of young children must account for household food insecurity.

Measuring Dietary Quality Among Toddlers in the Feeding Infants and Toddlers Study, 2016, Using the New Healthy Eating Index-Toddlers-2020

BACKGROUND

Child diet can influence risk for obesity and other related noncommunicable diseases. Few studies have used the Healthy Eating Index (HEI)-Toddlers-2020 to assess diet quality among toddlers (children aged 12 to 23.9 months).

OBJECTIVE

The aim of this study was to examine diet quality among toddlers participating in the Feeding Infants and Toddlers Study, 2016, and determine differences by sociodemographic characteristics. Caregiver perception of how their toddler's diet aligns with HEI-Toddlers-2020 diet quality scores was also assessed.

DESIGN

This cross-sectional study used 24-hour dietary records collected in 2016.

PARTICIPANTS AND SETTING

Data were collected on toddlers ages 12 to 23.9 months (N = 1133) participating in the Feeding Infants and Toddlers Study, 2016.

MAIN OUTCOME MEASURES

Diet quality was assessed using the HEI-Toddlers-2020.

STATISTICAL ANALYSES PERFORMED

The population ratio method was used for all analyses using weighted data to estimate HEI-Toddlers-2020 scores overall and within subgroups. To determine significant differences of the HEI-Toddlers-2020 score between subgroups, pairwise t tests were used. Statistical significance at P < .05 was used as a cutoff for all 2-sided P values.

RESULTS

Average HEI-Toddlers-2020 score among toddlers ages 12 to 23.9 months participating in the Feeding Infants and Toddlers Study, 2016, was 71.2 out of a possible 100. Total scores (mean, standard error) varied by race and ethnicity with Hispanic toddlers having higher scores compared with non-Hispanic White toddlers (76.4 ± 2.5 vs 69.0 ± 1.2; P = .03) and by federal poverty level with those >200% of the poverty level having higher scores compared with those <100% of the poverty level (74.7 ± 1.5 vs 67.0 ± 2.6; P = .01).

CONCLUSIONS

Opportunities for improvement in dietary intake were identified using the new HEI-Toddlers-2020 to assess diet quality among children ages 12 to 23.9 months. Scores were indicative of toddlers consuming excess added sugars and lower-than-recommended amounts of seafood and plant proteins, greens and beans, whole grains, and vegetables. Interventions to improve diet quality in toddlers may benefit from focusing on foods children should eat more of along with foods to consume in moderation.

Combined healthy lifestyle behaviors and all-cause mortality risk in middle-aged and older US adults: A longitudinal cohort study

BACKGROUND

While various lifestyle behaviors separately or partly have been shown to be associated with health outcomes, including a multitude of diseases and death, none of the earlier research has comprehensively investigated the combined impact of modified lifestyle behaviors. This longitudinal study investigated the association between a composite of healthy lifestyle behaviors and all-cause mortality in middle-aged and older Americans.

METHODS

We utilized data from the National Health and Nutrition Examination Survey from 2007 to 2018, as well as relevant mortality data, applying the Healthy Lifestyle Score1 (HLS) index to assess healthy lifestyle behaviors, defined by no smoking, moderate alcohol, appropriate sleep, a balanced diet, adequate physical activity, and limited sedentary time. Weighted multivariate Cox proportional hazards analyses were applied to investigate the associations between these lifestyle practices and overall mortality, followed by stratified analyses to explore potential effect modifications by subgroups.

RESULTS

This study included 5448 participants, categorized into unfavorable (28%), intermediate (56%), and favorable (16%) HLS groups. During a median 103-month follow-up, 388 participants died. Cox regression revealed that individuals with favorable lifestyles had a reduced likelihood of death than those with unfavorable lifestyles (HR = 0.49, 95% CI: 0.34-0.70). There was a linear negative relationship established between HLS and the likelihood of all-cause death (p for non-linearity = 0.0512).

CONCLUSION

Adherence to a composite of healthy habits is linearly and substantially related to decreasing the likelihood of all-cause mortality among the elderly in the U.S., highlighting the substantial benefits of maintaining these behaviors for longevity and health.

How Do the Indices based on the EAT-Lancet Recommendations Measure Adherence to Healthy and Sustainable Diets? A Comparison of Measurement Performance in Adults from a French National Survey

Background

Measuring adherence to EAT-Lancet recommendations for healthy and sustainable diets is challenging, leading to diverse methods and a lack of consensus on standardized metrics. Available indices vary mainly in scoring systems, food components, units, energy adjustments, and cut-off points.

Objectives

To evaluate and compare the measurement performance of 9 dietary indices for assessing adherence to EAT-Lancet reference diet.

Methods

This cross-sectional study utilized repeated 24-h dietary recall data from 1723 adults in the French Third Individual and National Study on Food Consumption Survey (INCA3, 2014-2015). Sociodemographic, nutritional, and environmental variables were analyzed to assess the validity and reliability of dietary indices.

Results

The 4 indices assessing their food components with proportional scoring captured dietary variability, were less dependent on energy intake and converged to a large extent with nutritional indicators. Although the 3 binary indices showed a stronger correlation with environmental indicators, 1 proportional index converged with both domains. Indices had valid unidimensional structures, meaning that the combination of food components within each index accurately reflected the same construct, supporting the use of total scores. Furthermore, the indices differed between sociodemographic groups, demonstrating concurrent-criterion validity. Higher scores were associated with higher nutritional quality and lower environmental impact, but with unfavorable results for zinc intake, vitamin B12, and water use. A low concordance rate (32%-43%) indicated that indices categorized individuals differently.

Conclusions

Researchers must align study objectives with the applicability, assumptions, and significance of chosen indices. Indices using proportional scoring allow a global understanding of dietary health and sustainability, being advantageous in precision-focused research (for example, clinical trials or epidemiological research). Conversely, indices based on binary scoring offer a simplified perspective, serving as valuable tools for surveys, observational studies, and public health. Recognizing their strengths and limitations is crucial for a comprehensive assessment of diets and their implications.

Association of dietary quality and mortality in the non-alcoholic fatty liver disease and advanced fibrosis populations: NHANES 2005-2018

Background

Nonalcoholic fatty liver disease (NAFLD) has emerged as a significant global health concern, with advanced fibrosis increasing mortality risks. Despite the abundance of dietary guidelines for managing NAFLD, the precise impact of diet quality on mortality among individuals with advanced fibrosis remains elusive. This study aims to explore the influence of five dietary quality indexes on mortality among NAFLD patients and advanced fibrosis patients.

Methods

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2005 to 2018 to assess dietary quality based on the Alternate Mediterranean Diet (aMED), Healthy Eating Index-2020 (HEI-2020), Dietary Approach to Stop Hypertension (DASH), Alternate Healthy Eating Index (AHEI), and Dietary Inflammatory Index (DII). Weighted Cox proportional hazard regression models along with restricted cubic splines and subgroup analyses were employed in this study.

Results

The analysis encompassed 3,634 NAFLD patients. After a median follow-up of 89 months, it was found that higher scores on the aMED (HR 0.814, 95% CI 0.681-0.972), HEI-2020 (HR 0.984, 95% CI 0.972-0.997), DASH (HR 0.930, 95% CI 0.883-0.979), and AHEI (HR 0.980, 95% CI 0.966-0.995) were associated with lower mortality risks, while DII scores (HR 1.280, 95% CI 1.098-1.493) indicated an increased risk of mortality. Additionally, a nonlinear relationship was identified solely between AHEI scores and all-cause mortality in NAFLD patients. Notably, among patients with advanced fibrosis, HEI-2020 as a categorical variable (T3: HR 0.519, 95% CI 0.280-0.964), DASH as a continuous variable (continuous: HR 0.921, 95% CI 0.849-0.999), AHEI (continuous: HR 0.971, 95% CI 0.945-0.997; T2: HR 0.545, 95% CI 0.310-0.960; T3: HR 0.444, 95% CI 0.245-0.804), and DII (continuous: HR 1.311, 95% CI 1.121-1.534; T3: HR 2.772, 95% CI 1.477-5.202) exhibited significant associations with all-cause mortality. Subgroup analyses revealed an interaction between AHEI scores and sex among NAFLD patients, where higher AHEI scores correlated with lower all-cause mortality in females, but no such association was observed in males. For other dietary quality, subgroup analyses indicated that their relationships with mortality were robust.

Conclusion

Our study suggests that a high-quality diet could potentially mitigate mortality risk in both NAFLD and advanced fibrosis patients.

Policy, Systems, and Environmental Strategies to Support Healthy Eating Behaviors in Early Childhood: A Scoping Review of Existing Evaluation Tools

BACKGROUND

Policy, systems, and environmental (PSE) change strategies aimed at supporting healthy eating behaviors work to enhance optimal nutrition by making healthy foods more available and accessible in the community. PSE change strategies can complement and strengthen knowledge, skills, and behaviors obtained through individual-level nutrition education.

OBJECTIVE

This scoping review aimed to identify existing literature evaluating early childhood (ie, children younger than age 5 years) PSE change strategies supporting healthy eating behaviors and to describe the evaluation tools used to assess the identified PSE change strategies.

METHODS

Three databases (PubMed, Cumulated Index in Nursing and Allied Health Literature, and Web of Science) were used to systematically search for articles published between 2013 and 2023 written in English and conducted in the United States that evaluated PSE change strategies supporting healthy eating behaviors in young children (ie, children younger than age 5 years). Two study members conducted the review, discussing and reconciling discrepancies until a consensus was reached for interobserver reliability.

RESULTS

Findings from this review identified 48 studies evaluating early childhood PSE change strategies supporting healthy eating behaviors, with 36 studies using 25 PSE-focused evaluation tools to evaluate these strategies. Most tools (80%) assessed PSE change strategies supporting access and availability of healthy food and beverage options in early childhood education settings. Studies did not evaluate child-level outcomes (ie, attitudes, preferences, and behaviors) to showcase improvement of early childhood nutrition. Only 60% of the tools reported evidence of validity or reliability.

CONCLUSIONS

Most of the studies identified in this scoping review were aimed to evaluate healthy eating PSE change strategies focused on improving access to and availability of healthy foods and beverages in early childhood education settings. Future research is needed to develop and validate PSE-focused evaluation tools assessing child-level healthy eating practices and behaviors.

Trends in Toddler Diet Quality in the United States: 1999 to 2018

BACKGROUND AND OBJECTIVES

Diet quality has improved over time for US adults and youth aged ≥2 years. Trends over time and disparities in the diet quality of toddlers 12 through 23 months old have not been documented. Our objective was to investigate the direction and magnitude of toddler diet quality trends from 1999 to 2018 overall and by household socioeconomic status.

METHODS

This serial cross-sectional analysis of National Health and Nutrition Examination Survey (NHANES) data was performed with 2541 toddlers from 10 NHANES cycles from 1999 to 2018. Dietary intake was measured by NHANES study staff using proxy-reported 24-hour recalls. Healthy Eating Index-Toddlers-2020 total scores (0-100 points, higher scores indicate healthier diets) and component scores were calculated from the 24-hour dietary recalls using the population ratio method. Multivariable linear regression was used to evaluate the association between time in years (measured as the midpoint of each NHANES cycle) and diet quality.

RESULTS

Toddler diet quality improved significantly from 1999 to 2018 (P < .001), from 63.7 points on average in 1999-2000 to 67.7 points in 2017-2018. A significant positive linear trend in total diet quality was observed for all socioeconomic status groups (P < .05). Several dietary component scores improved, as follows: Whole Fruits (P < .001), Whole Grains (P = .016), Fatty Acids (P = .002), Refined Grains (P = .009), and Added Sugars (P < .001). Scores did not significantly change for Total Fruit, Total Vegetables, Greens and Beans, Dairy, Total Protein Foods, Seafood and Plant Proteins, Sodium, or Saturated Fats.

CONCLUSIONS

From 1999 to 2018, toddler diet quality improved significantly, but mean scores still fell short of dietary guidance.

Methodology for developing and validating Bangladesh healthy eating index: A study protocol

BACKGROUND

One of the widely used methods for evaluating the overall quality of a diet is the Healthy Eating Index. In the present study protocol, we lay out the methodological approach to the development and validation of a healthy eating index specific for the Bangladeshi population (hereinafter referred to as Bangladesh Healthy Eating Index (BD-HEI)).

METHODS

Bangladesh Healthy Eating Index will be developed based on the Food-based dietary guidelines (FBDG) of Bangladesh. Using a scoring system that aligns with the eleven food groups outlined in the FBDG, the index will consist of eleven eating components. A cross-sectional community nutrition survey will be carried out among 1080 reproductive-aged women. Through this survey, quantitative dietary data will be collected following multiple pass 24h dietary recall method. Repeated 24-hour dietary data (of two consecutive days) will be collected from one-third of the respondents. Evaluating usual food and nutrient intake as well as the probability of nutrient intake adequacy, the study will examine the validity of the BD-HEI. Following a suitable statistical procedure, the reliability and construct validity of BD-HEI will be evaluated.

SIGNIFICANCE OF THE STUDY

Country-specific HEI can be used to assess the dietary quality of the people of that country. The findings from this research can inform policy decisions and strategies to promote healthier eating habits and combat the rising burden of diet-related diseases in the country.

Diet Quality Among Children

This cross-sectional study uses data from the National Health and Nutrition Examination Survey and the USDA’s Food Patterns Equivalents Database from 2005 to 2020 to assess temporal changes in diet quality among US children aged 12 to 23 months.

Dietary Patterns and Health: Insights From NESR Systematic Reviews to Inform the Dietary Guidelines for Americans

This perspective article shares unique insights from the extensive experience of the US Department of Agriculture Nutrition Evidence Systematic Review branch in conducting systematic reviews on dietary patterns and health outcomes to inform the Dietary Guidelines for Americans. Methodological approaches for reviewing dietary patterns research are described, including approaches to operationalizing definitions and analyzing labeled dietary patterns. The review also describes techniques for synthesizing dietary patterns research across life stages in systematic reviews that inform food-based, federal dietary guidance. Current research activities and recommendations for how to improve or address gaps in dietary patterns research in the future are also discussed.

Evaluation of the Healthy Eating Index-Toddlers-2020

BACKGROUND

With the addition of new guidance for children from birth to 24 months in the Dietary Guidelines for Americans, 2020-2025 (DGA), a Healthy Eating Index (HEI) was developed for toddlers.

OBJECTIVE

To evaluate the psychometric properties of the HEI-Toddlers-2020, 5 analyses relevant to construct and concurrent validity and 2 related to reliability were examined.

DESIGN

Twenty-four-hour diet recall data from the cross-sectional National Health and Nutrition Examination Survey (2011-2018) were used. In addition, exemplary menus were analyzed.

PARTICIPANTS/SETTING

The main analytic sample included toddlers aged 12 through 23 months (n = 838), with additional analyses of toddlers aged 12 through 35 months (n = 1,717) from the United States. Included participants had valid diet recalls and available weight-for-age data.

MAIN OUTCOME MEASURES

Outcomes measures included HEI-Toddlers-2020 total and component scores on menus, population distributions, and correlations.

STATISTICAL ANALYSES

HEI total and component scores were calculated using menus from the American Academy of Pediatrics and Healthy Eating Research. Score means and distributions were estimated using a Markov Chain Monte Carlo approach with National Health and Nutrition Examination Survey data (2011-2018). Principal component analysis explored dimensions and Pearson correlations examined components, energy, and Cronbach α. In addition, HEI-Toddlers-2020 and HEI-2020 scores were compared for identical intakes at age 24 months.

RESULTS

For validity, exemplary menus received high scores with the HEI-Toddlers-2020. The mean ± SE total HEI-Toddlers-2020 score for toddlers aged 12 through 23 months was 62.9 ± 0.78 and ranged from 40.1 to 84.4 (1st to 99th percentile). Correlation between diet quality and diet quantity was low (-0.15); the scree plot revealed multiple factors. In addition, total scores for identical intakes were approximately 1.5 points higher for HEI-Toddlers-2020 compared with HEI-2020 (difference range for component scores, -4.97 to 4.89). For reliability, most of the intercorrelations among components were low to moderate (0 to 0.49), with a few exceptions among related components. Cronbach α was .48. These results indicate that the index is multidimensional, with no single component driving the total score, and no unnecessary components that are highly correlated with another component.

CONCLUSIONS

The results demonstrated evidence supportive of validity and reliability. The HEI-Toddlers-2020 can be used to assess alignment with the DGA for toddlers.

Continuity, Considerations, and Future Directions for the Healthy Eating Index-Toddlers-2020

The Dietary Guidelines for Americans, 2020-2025 includes guidance for infants and toddlers aged birth to 24 months. To assess alignment with this new guidance, the Healthy Eating Index (HEI)-Toddlers-2020 was developed for toddlers 12 through 23 months old. This monograph focuses on the continuity, considerations, and future directions of this new index for toddlers in the context of evolving dietary guidance. There is considerable continuity between the HEI-Toddlers-2020 and previous versions of the HEI. The same process, guiding principles, and features (with caveats) are repeated in the new index. However, there are unique considerations for measurement, analysis, and interpretation for the HEI-Toddlers-2020 that this article addresses, while identifying future directions for the HEI-Toddlers-2020. The continued evolution of dietary guidance for infants, toddlers, and young children will provide additional opportunities for index-based metrics: considering inclusion of multidimensional layers in dietary patterns, defining a healthy eating trajectory, bridging healthy eating across different life stages, and communicating the constructs of balance among dietary constituents.

Healthy Eating Index-2020: Review and Update Process to Reflect the Dietary Guidelines for Americans,2020-2025

The purpose of this review is to share the process for reviewing, updating, and developing the most recent version of the Healthy Eating Index-2020 (HEI-2020) for ages 2 and older, following the release of the Dietary Guidelines for Americans (DGA), 2020-2025. The overall review process included: 1) gathering information from the updated DGA, experts, and federal stakeholders; 2) considering substantive changes and needs for new development, keeping in mind the HEI's key features and guiding principles, the US Department of Agriculture's Dietary Patterns that serve as the foundation for the HEI, and scoring considerations; and 3) completing evaluation analyses, including the examination of content validity. The review process led to the development of the HEI-2020; a separate HEI-Toddlers-2020 was developed for ages 12 through 23 months. The 13 components and scoring standards of the HEI-2020 fully align with the HEI-2015, although the index was renamed to clarify that it aligned with the most recent 2020-2025 DGA. As the evidence informing the DGA continues to evolve, various aspects of the HEI may need to evolve in the future as well. Further methodological research is encouraged to add to the scientific evidence base on dietary patterns, to examine needs specific to each life stage, and to model optimal trajectories of healthy dietary patterns over the lifespan.

Dietaryindex: A User-Friendly and Versatile R Package for Standardizing Dietary Pattern Analysis in Epidemiological and Clinical Studies

Background

Few standardized and open-source tools exist for calculating dietary pattern indexes from dietary intake data in epidemiological and clinical studies. Miscalculations of dietary indexes, with suspected erroneous findings, are occasionally noted in the literature.

Objective

The primary aim is to develop and validate dietaryindex, a user-friendly and versatile R package that standardizes the calculation of dietary indexes.

Methods

Dietaryindex utilizes a two-step process: an initial calculation of serving size for each food and nutrient category, followed by the calculation of individual dietary indexes. It includes generic functions that accept any preprocessed serving sizes of food groups and nutrients, with the standard serving sizes defined according to the methodologies used in well-known prospective cohort studies. For ease of use, dietaryindex also offers one-step functions that directly reference common datasets and tools, including the National Health and Nutrition Examination Survey (NHANES) and Block Food Frequency Questionnaire, eliminating the need for data preprocessing. At least two independent researchers validated the serving size definitions and scoring algorithms of dietaryindex.

Results

Dietaryindex can calculate multiple dietary indexes of high interest in research, including Healthy Eating Index (HEI) - 2020, Alternative Healthy Eating Index 2010, Dietary Approaches to Stop Hypertension Index, Alternate Mediterranean Diet Score, Dietary Inflammatory Index, American Cancer Society 2020 dietary index, and Planetary Health Diet Index from the EAT-Lancet Commission. In our validation process, dietaryindex demonstrated full accuracy (100%) in all generic functions with two-decimal rounding precision in comparison to hand-calculated results. Similarly, using NHANES 2017-2018 data and ASA24 and DHQ3 example data, the HEI2015 outputs from dietaryindex aligned (99.95%-100%) with results using the SAS codes from the National Cancer Institute.

Conclusions

Dietaryindex is a user-friendly, versatile, and validated informatics tool for standardized dietary index calculations. We have open-sourced all the validation files and codes with detailed tutorials on GitHub (https://github.com/jamesjiadazhan/dietaryindex).