Applications of the Healthy Eating Index for Surveillance, Epidemiology, and Intervention Research: Considerations and Caveats

Associations between Global Diet Quality Score and Risk of Metabolic Syndrome and Its Components: Tehran Lipid and Glucose Study

Background

Various food quality indicators have been proposed as tools for predicting metabolic syndrome (MetS). This study investigated the association between global diet quality score (GDQS) and the risks of developing MetS and its components.

Methods

In this secondary analysis, we included elective adult participants (n=4,548) from the Tehran Lipid and Glucose Study. Dietary data were collected by a valid and reliable semi-quantitative food frequency questionnaire. MetS was defined according to the Iranian modified National Cholesterol Education Program. Multivariable Cox proportional hazard regression models were used to estimate the incidence of MetS in association with GDQS.

Results

This study involved 1,762 men and 2,786 women with a mean±standard deviation age of 38.6±14.3 and 35.9±11.8 years, respectively. A total of 1,279 subjects developed MetS during the mean follow-up of 6.23 years. Incidence of MetS was associated with GDQS (hazard ratio [HR], 1.00; 0.90 [95% confidence interval, CI, 0.82 to 0.98]; 0.84 [95% CI, 0.76 to 0.91]; 0.80 [95% CI, 0.73 to 0.89]; P for trend <0.001) after adjusting for confounding variables. The healthy food group component of GDQS was related to MetS incidence. GDQS in the range of 12%-17% in the fourth quartile was associated with a decrease in incidence of MetS components. Both healthy and unhealthy food group components of the GDQS decreased the incidence of high triglycerides, high blood pressure, and high fasting blood glucose.

Conclusion

Higher GDQS was associated with a lower risk of the incidence of MetS or its components among Tehranian adults. Higher intake of healthy food group components and lower consumption of unhealthy food group components of the GDQS predicted lower MetS incidence and risk factors.

Depression and Diet Quality, US Adolescents and Young Adults: National Health and Nutrition Examination Survey, 2015-March 2020

BACKGROUND

Depression is a common mental health disorder.

OBJECTIVE

The objective of this study was to explore the association between diet quality, as measured by the Healthy Eating Index 2020 (HEI-2020), and depression symptoms among US adolescents and young adults aged 12 to 29 years.

DESIGN

The study design was a cross-sectional secondary data analysis.

PARTICIPANTS

Data from the first 24-hour dietary recall for adolescents and young adults aged 12 to 29 years in the National Health and Nutrition Examination Survey from 2015 to March 2020 (n = 4750) were analyzed.

MAIN OUTCOME MEASURE

Depression was defined as a score ≥10 on the Patient Health Questionnaire, reflecting moderate or severe symptoms in the previous 2 weeks.

STATISTICAL ANALYSES PERFORMED

HEI-2020 total (range, 0-100) and component scores were calculated for those with and without depression. Predicted HEI-2020 scores were estimated from linear regression models, adjusting for age, gender, race and Hispanic origin, family income, and seeing a mental health professional in the past year. Statistical analyses accounted for the complex sample design.

RESULTS

The prevalence of depression among adolescents and young adults was 7.8% (95% CI 6.3% to 9.5%). Total HEI-2020 score was 45.9 (95% CI 45.0 to 46.7) out of 100 on a given day during 2015 to March 2020. Among young people with depression, total HEI-2020 score was lower than among those without depression (41.7 vs 46.2; P < .001). After adjustment for covariates, the difference was attenuated, but remained significant. In adjusted analyses, HEI-2020 component scores were lower for those with depression compared with those without depression for the adequacy components: total fruits (1.4 vs 1.7; P = .03), whole fruits (1.2 vs 1.7; P < .01), total vegetables (2.1 vs 2.6; P < .01), greens and beans (0.8 vs 1.2; P < .01), and total protein foods (3.6 vs 4.0; P = .02) out of a maximum score of 5. There were no statistically significant differences observed for whole grains, dairy, seafood and plant proteins, fatty acids, saturated fats, refined grains, sodium, or added sugars.

CONCLUSIONS

Overall diet quality is low among young people. Diet quality, especially consumption of fruits, vegetables, and protein foods was lower among young people with depression compared with those without depression.

Health behaviors predicting risk of obesity in US adults: What does a healthy lifestyle look like?

Objective

The purpose of this study was to examine the association between lifestyle factors and body weight in a nationally representative sample of US adults and to evaluate the association between a novel "Healthy Habits Composite Score (HHCS)" and risk of obesity.

Methods

This cross-sectional study included data from 4870 adults who participated in the 2017-2018 National Health and Nutrition Examination Survey (NHANES). The HHCS was developed based on 4 factors: diet, physical activity, sedentary time, and sleep, all of which were measured during the NHANES. A "healthy lifestyle" was defined as meeting ≥3 of the 4 established criteria. Data analysis was conducted using SAS 9.4 and procedures to account for the complex survey design. All models were adjusted for age, sex, race, household income, and education.

Results

Adults with obesity had significantly lower dietary quality (48.8 ± 0.6 vs. 53.2 ± 0.9) and reported significantly more sedentary time (∼1 h more; 356.3 ± 7.0 vs. 301.4 ± 8.3 min) than lean adults, both p < 0.001. Achieving a healthy lifestyle based on the HHCS was associated with nearly double the odds of having a healthy body weight (OR 1.9, p < 0.001).

Conclusions

Following a lifestyle focused on healthy habits (diet quality, physical activity, limited sedentary time, and sleep) was strongly associated with a decreased risk of obesity: an individual who achieved three or more healthy habits had nearly twice the odds of having a healthy body weight. Therefore, comprehensive interventions that address and promote a wide range of healthy habits may be most effective for lowering obesity risk.

The healthy eating index for older adults: adaptation of the 2015 healthy eating index considering dietary guidelines for healthy aging

INTRODUCTION

The Healthy Eating Index (HEI) is a comprehensive measure to assess diet quality. Because of the various factors that influence the nutritional status of older adults, there is a need to adapt an index that assesses the quality of the diet considering the dietary requirements of aging and health promotion. This study aimed to adapt the HEI for older adults, considering their needs for healthy eating.

METHODS

Food consumption data was collected by means of three non-consecutive 24-hour food recalls (R24h). For the adaptation of the Healthy Eating Index for Older Adults (HEI-OA), the components and scoring methodology of HEI-2015 were maintained and Brazilian food intake recommendations for the older population were used, which are in line with international recommendations. The validity of the HEI-OA was assessed by four ideal diets, Mann-Whitney's test, Spearman's correlation analysis and Cronbach's coefficient.

RESULTS

Content validity of the HEI-OA was confirmed by the maximum score for diets recommended to older adults and by the score between groups with known differences in diet quality. The HEI-OA total score did not correlate with total energy intake (TEI - total energy value: r = -0.141, p > 0.05). The total HEI-OA score showed a statistically significant correlation with several nutrients. These correlations allowed identifying that these nutrients are closely related to the components of the HEI-OA. The internal consistency value for the HEI-OA total score was 0.327, similar to the 2005 and 2010 versions of the HEI.

CONCLUSION

The HEI was successfully adapted for use with older adults, presenting validity and reliability. The HEI-OA can be used to assess diet quality in line with international dietary guidelines for healthy aging.

Adding more beans to the US typical dietary pattern can lead to greater intake of shortfall nutrients and a higher diet quality in younger and older adults

INTRODUCTION

Data on nutrient and diet quality outcomes when additional beans are consumed as part of the typical American dietary pattern are scarce. The purpose of this study was to assess the effect of increased bean consumption, in the typical American dietary pattern, on the intake of shortfall nutrients and overall diet quality.

METHODS

Using data from the US National Health and Nutrition Examination Survey, 2001-2018, the current analyses modeled the addition of one and two servings of canned and dried beans in all adults (N = 44,574; ≥19 y), younger adults (N = 23,554; 19-50 y) and older adults (N = 21,020; ≥51 y). The beans considered were kidney beans, black beans, chickpeas, and pinto beans.

RESULTS

The modeling of beans to the typical American dietary pattern resulted in significant increases in the intake of several shortfall nutrients, including dietary fiber, potassium, magnesium, iron, folate, and choline (p's < 0.0001). Modeling 1 and 2 servings of beans daily to the US typical dietary pattern significantly increased overall diet quality in all adult age groups considered. Total diet quality, as measured by Healthy Eating Index-2015 scores, was 15-16 % greater with an additional serving of beans and 19-20 % higher with 2 servings of beans relative to the US typical dietary pattern (p values<0.0001).

CONCLUSIONS

Dietary patterns that are rich in beans are associated with significantly higher diet quality scores and greater intake of shortfall nutrients, including nutrients of public health concern. Dietary guidance should consider the health benefits associated with the promotion of increased consumption of canned and dry beans in dietary patterns as benefits seen in younger adults continue to older adulthood.

Dietary Quality and Diet-Related Factors Among Emerging Adults (18-23 y) in the United States Are a Cause for Concern: National Health and Nutrition Examination Survey 2015-2018

BACKGROUND

Poor dietary quality is a risk factor for diet-related chronic disease and suboptimal nutritional patterns often begin early in the life course. Although the dietary intakes of young children, adolescents, and middle-aged and older adults are well established, much less is known about emerging adults, who represent a unique time point in life, as they are undergoing significant changes in food environments, autonomy, finances, and caregiver and parental involvement.

OBJECTIVES

This study aimed to examine dietary quality, as assessed via the Healthy Eating Index (HEI), by demographic, socioeconomic, and health-related characteristics among emerging adults (18-23 y) in the United States who participated in the 2015-2018 National Health and Nutrition Examination Survey (NHANES).

METHODS

NHANES data were collected via a household interview and 2 24-h dietary recalls (24HR). Usual dietary intakes from the 24HRs were approximated using the multivariate National Cancer Institute Method to compute mean HEI-2015 overall and component scores (range: 0-100; higher scores indicating higher dietary quality).

RESULTS

Overall dietary quality among emerging adults (HEI-2015: 50.3 ± 1.3) was significantly lower than other adults (≥24 y) (HEI-2015: 56.3 ± 0.5; P < 0.0001) in the United States, with differences primarily driven by lower intakes of whole fruit, vegetables, and whole grains and higher intakes of sodium, refined grains, and saturated fat. Few differences in HEI-2015 scores were noted across population subgroups by sex, food security, family income, and food assistance program participation, except for added sugar; intakes of added sugar were significantly higher among women, food insecure, and food assistance program participants than those in their counterparts, respectively.

CONCLUSIONS

Dietary quality is poor among emerging adults in the United States and persists across all population subgroups, suggesting a significant need for tailored public health interventions to improve dietary quality among this population. Future research investigating to what extent emerging adults prioritize healthful behaviors and exploring other indicators for identifying nutritionally vulnerable subgroups may be impactful for identifying disparities among this life stage.

Advances in methods for characterizing dietary patterns: A scoping review

There is a growing focus on better understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterize dietary patterns, such as machine learning algorithms and latent class analysis methods, may offer opportunities to measure and characterize dietary patterns in greater depth than previously considered. However, there has not been a formal examination of how this wide range of approaches has been applied to characterize dietary patterns. This scoping review synthesized literature from 2005-2022 applying methods not traditionally used to characterize dietary patterns, referred to as novel methods. MEDLINE, CINAHL, and Scopus were searched using keywords including machine learning, latent class analysis, and least absolute shrinkage and selection operator (LASSO). Of 5274 records identified, 24 met the inclusion criteria. Twelve of 24 articles were published since 2020. Studies were conducted across 17 countries. Nine studies used approaches that have applications in machine learning to identify dietary patterns. Fourteen studies assessed associations between dietary patterns that were characterized using novel methods and health outcomes, including cancer, cardiovascular disease, and asthma. There was wide variation in the methods applied to characterize dietary patterns and in how these methods were described. The extension of reporting guidelines and quality appraisal tools relevant to nutrition research to consider specific features of novel methods may facilitate complete and consistent reporting and enable evidence synthesis to inform policies and programs aimed at supporting healthy dietary patterns.

Higher Diet Quality Observed in Pregnant Women Compared to Women Living with and without Children in the US: NHANES 2011-2016

BACKGROUND

Women of reproductive age are a critical part of the population because their dietary habits and nutritional status impact the nutritional trajectory of future generations. Various studies have assessed the diet quality among women of reproductive age, but few studies have compared the diet quality of these women across the different life stages.

OBJECTIVE

To compare the diet quality among pregnant women, women living with children and women living without children in the United States of America (USA) using the Healthy Eating Index (HEI).

METHODS

This cross-sectional study was a secondary data analysis of the National Health and Nutrition Survey (NHANES), 2011-2016. Study participants comprised a total of 7120 women, ages 20-44 years in one of three life stage categories, pregnant women, women living in households with and without children less than 18 years. The HEI 2015 was used to assess the overall diet quality score as well as 13 dietary component scores-whole fruit, total fruit, greens and beans, whole grains, total vegetables, total protein foods, fatty acids, seafood and plant proteins, dairy, saturated fat, sodium, refined grains, and added sugars. The differences in HEI scores by life stage was assessed using linear regression models, adjusting for marital status, age, race and ethnicity, poverty index ratio, and educational status.

RESULTS

The mean overall HEI score of participants was 52.0 out of 100 points. The overall HEI scores of pregnant women was significantly higher than women living with and without children respectively (β = 4.6 ± 1.42, p = 0.002; β = 3.7 ± 1.34, p = 0.009). Also, pregnant women had significantly higher scores for whole fruit (β = 0.99 ± 0.18, p < 0.001; β = 0.98 ± 0.17, p < 0.001), dairy (β = 0.63 ± 0.27, p = 0.02; β = 0.68 ± 0.29, p = 0.02) and whole grains (β = 1.05 ± 0.40, p = 0.01; β = 0.97 ± 0.39, p = 0.02) than women living with and without children respectively. On the other hand, women living without children had significantly higher scores for total vegetables (β = 0.18 ± 2.04, p = 0.002), refined grains (β = 0.22 ± 0.10, p = 0.03) and added sugars (β = 0.35 ± 0.16, p = 0.04) than women living with children.

CONCLUSION

Pregnant women had the highest diet quality while women living in households with children had the lowest diet quality among the studied population.

Association of nutritional intake with clinical and imaging activity in pediatric multiple sclerosis

BACKGROUND

Understanding nutrition's role in multiple sclerosis (MS) can guide recommendations and intervention-based studies.

OBJECTIVE

Evaluate the association between nutrition and pediatric-onset MS outcomes.

METHODS

Prospective longitudinal multicenter study conducted as part of the US Network of Pediatric MS centers. Predictors were collected using a food screener estimating intake of various dietary food groups (e.g. dairy and fruits) and additional calculated indices (e.g. Healthy Eating Index (HEI)). Outcomes included time-from-enrollment to clinical relapse, new magnetic resonance imaging (MRI) T2 lesions, and Expanded Disability Status Scale (EDSS) increase.

RESULTS

353 children with MS were enrolled (mean ± SD age 15.4 ± 2.9, follow-up 3.9 ± 2.6 years). Multivariable analysis demonstrated that increased dairy by 50% of recommended intake was associated with increased relapse risk by 41% (adjusted hazard ratio (HR) 1.41, 95% CI 1.07-1.86), and risk of T2 progression by 40% (1.40, 1.12-1.74). Increased intake of fruit or vegetable above recommended, and every five-point HEI increase decreased relapse risk by 25% (0.75, 0.60-0.95), 45% (0.55, 0.32-0.96), and 15% (0.84, 0.74-0.96), respectively. No associations were found with EDSS.

CONCLUSION

This work supports the influence of dietary intake on MS course, particularly with dairy intake. Future prospective study is required to establish causation.

Differential effect by chronic disease risk: A secondary analysis of the ChooseWell 365 randomized controlled trial

Objective

Whether employees' health status is associated with the effectiveness of workplace health promotion programs is unknown. The objective of this study was to determine if the effect of a workplace healthy eating intervention differed by baseline chronic disease status.

Methods

This was a secondary analysis of a randomized controlled trial conducted September 2016 to February 2018 among US hospital employees to test the effect of a 12-month behavioral intervention (personalized feedback, peer comparisons, and financial incentives) on diet and weight. Participants were classified as having chronic disease (yes/no) based on self-reported hypertension, hyperlipidemia, heart disease, stroke, pre-diabetes, diabetes, cancer or another serious illness. BMI was measured at study visits and calories purchased were measured from cafeteria sales data over 24 months. Mixed models with random effects assessed heterogeneity of treatment effects by chronic disease.

Results

Participants (N = 548) were mostly female (79.7 %) and white (81.2 %); 224 (40.9 %) had chronic disease. Among those with chronic disease, intervention participants reduced caloric intake by 74.4 [22.3] kcal more than control, with a smaller difference between intervention and control (-1.9 [18.7] kcal) (three-way p-interaction = 0.02). The effect on BMI for those with chronic disease (0.47 [0.21] kg/m2) indicated weight stability among intervention participants and weight gain among controls while the effect (-0.56 [0.18] kg/m2) for those without chronic disease was the opposite (three-way p-interaction < 0.01).

Conclusions

Those with chronic diseases had greater reductions in calories purchased and gained less weight. Employers with limited resources for health promotion might consider tailoring programs to employees at highest risk.

Dietary Patterns Among US Children: A Cluster Analysis

BACKGROUND

Most children in the United States consume low-quality diets. Identifying children's dietary patterns and their association with sociodemographic characteristics is important for designing tailored youth dietary interventions.

OBJECTIVE

This study's objective was to use cluster analysis to investigate children's dietary patterns and these patterns' associations with sociodemographic characteristics.

DESIGN

Data from two cycles (2015-2016 and 2017-2018) of the National Health and Nutrition Examination Survey were evaluated to examine dietary patterns.

PARTICIPANTS AND SETTING

Participants included 3,044 US youth aged 2 to 11 years who completed at least 1 valid 24-hour diet recall.

MAIN OUTCOME MEASURES

The main outcome measures were Healthy Eating Index (HEI) 2015 component and composite scores.

STATISTICAL ANALYSES PERFORMED

A cluster analysis was performed on standardized scores of 11 components of the HEI-2015 to identify dietary patterns. One logistic analysis combined the two higher-HEI score clusters and the 2 lower-HEI score clusters to form a 3-category variable of higher-, medium-, and lower-HEI score clusters. Another logistic analysis contrasted 2 higher- and then the 2 lower-HEI clusters with each other to examine sociodemographic factors contributing to cluster membership.

RESULTS

Five clusters were identified, each displaying a distinct dietary pattern. Older, non-Hispanic Black, and overweight children had higher odds of being in the higher-HEI clusters than the medium-HEI cluster. Being older and non-Hispanic Black were linked to higher odds of being in the lower-HEI clusters than the medium-HEI cluster. Conversely, being Mexican American and living with a college-educated reference person were associated with lower odds of being in the lower-HEI clusters compared with the medium-HEI cluster. Among the higher-HEI clusters, Mexican American and Asian American children had higher odds of being in the Pescatarian cluster. Among the lower-HEI clusters, children who were racially or ethnically minoritized had lower odds of being in the Excess Sugar cluster.

CONCLUSIONS

Children in this study displayed different dietary patterns, with key sociodemographic variation.

Associations Between Body Weight Dissatisfaction and Diet Quality in Women With a Body Mass Index in the Healthy Weight Category: Results From the 2014-2015 Swiss National Nutrition Survey

BACKGROUND

Few studies have examined whether diet quality is lower in women with body weight dissatisfaction compared with women without body weight dissatisfaction.

OBJECTIVES

(1) Examine the association between body weight dissatisfaction and diet quality among women (18-65 years old) in the healthy weight body mass index (BMI) category, and (2) explore dietary and behavioral patterns among women with body weight dissatisfaction.

DESIGN

Data were extracted from the cross-sectional 2014-2015 Swiss National Nutrition Survey.

PARTICIPANTS/SETTING

Population-based sample of 507 women with BMI ≥ 18.5 and < 25.

OUTCOME MEASURES

Dietary intakes assessed by registered dietitians using 2 nonconsecutive computer-assisted multi-pass 24-hour dietary recalls. Diet quality was measured with a slightly modified version of the Healthy Eating Index (HEI)-2020.

STATISTICAL ANALYSES PERFORMED

Multiple linear regressions were performed to test the association between body weight dissatisfaction and total HEI-2020 score. Hierarchical cluster analysis was used to identify subgroups of women with body weight dissatisfaction.

RESULTS

Body weight dissatisfaction was not found to be associated with diet quality (β = -1.73 [-4.18; 0.71], P = .16). However, women who were dissatisfied with their body weight had lower scores for the HEI-2020 total fruits (P = .050) and whole grains (P = .014) components than women who were satisfied with their body weight. Four profiles with different dietary patterns were identified among women with body weight dissatisfaction: "Unhealthy diet with dairy," "Protein and fat," "Vegetables without protein," and "Healthier diet without dairy."

CONCLUSIONS

Among women with a BMI in the healthy weight category, overall diet quality was not observed to differ between those with or without body weight dissatisfaction. More research is needed to explore the different profiles of dietary intake in women with body weight dissatisfaction.

Diet quality and anxiety: a critical overview with focus on the gut microbiome

Anxiety disorders disproportionally affect females and are frequently comorbid with eating disorders. With the emerging field of nutritional psychiatry, focus has been put on the impact of diet quality in anxiety pathophysiology and gut microbiome underlying mechanisms. While the relationship between diet and anxiety is bidirectional, improving dietary habits could better facilitate the actions of pharmacological and psychological therapies, or prevent their use. A better understanding of how gut bacteria mediate and moderate such relationship could further contribute to develop personalized programs and inform probiotics and prebiotics manufacturing. To date, studies that look simultaneously at diet, the gut microbiome, and anxiety are missing as only pairwise relationships among them have been investigated. Therefore, this study aims at summarizing and integrating the existing knowledge on the dietary effects on anxiety with focus on gut microbiome. Findings on the effects of diet on anxiety are critically summarized and reinterpreted in relation to findings on (i) the effects of diet on the gut microbiome composition, and (ii) the associations between the abundance of certain gut bacteria and anxiety. This novel interpretation suggests a theoretical model where the relationship between diet and anxiety is mediated and/or modulated by the gut microbiome through multiple mechanisms. In parallel, this study critically evaluates methodologies employed in the nutritional field to investigate the effects of diet on anxiety highlighting a lack of systematic operationalization and assessment strategies. Therefore, it ultimately proposes a novel evidence-based approach that can enhance studies validity, reliability, systematicity, and translation to clinical and community settings.

Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnair

Healthy dietary patterns such as the Mediterranean diet (MeDi), Dietary Approaches to Stop Hypertension (DASH) and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) have been evaluated for their potential association with health outcomes. However, the lack of standardisation in scoring methodologies can hinder reproducibility and meaningful cross-study comparisons. Here we provide a reproducible workflow for generating the MeDi, DASH and MIND dietary pattern scores from frequently used dietary assessment tools including the 24-h recall tool and two variations of FFQ. Subjective aspects of the scoring process are highlighted and have led to a recommended reporting checklist. This checklist enables standardised reporting with sufficient detail to enhance the reproducibility and comparability of their outcomes. In addition to these aims, valuable insights in the strengths and limitations of each assessment tool for scoring the MeDi, DASH and MIND diet can be utilised by researchers and clinicians to determine which dietary assessment tool best meets their needs.

Healthy food delivery for type 2 diabetes management in rural clinics' patients: A comparative effectiveness randomized controlled trial protocol

BACKGROUND

Rural populations experience a higher prevalence of both food insecurity and type 2 diabetes mellitus (T2DM) than metropolitan populations and face many challenges in accessing resources essential to optimal T2DM self-management. This study aims to address these challenges by delivering a T2DM-appropriate food box and recipes directly to rural participants' homes.

METHODS

This is a comparative effectiveness randomized controlled trial including 400 English- or Spanish-speaking rural adult participants with T2DM (HbA1c ≥6.5%) experiencing food insecurity. Participants are randomly assigned to a 3-month Healthy Food Delivery Intervention (HFDI) plus one 60-min virtual consultation with a diabetes educator or consultation only. The HFDI includes a weekly food box delivery with recipes. Data are collected at pre-intervention, 3-months (post-intervention), 9-months, and 15-months. The primary outcome is change in HbA1c, with secondary measures including diet quality (Healthy Eating Index-2015, calculated from one 24-h dietary recall at each data collection time point), cardio-metabolic risk factors (i.e., blood pressure, lipids, body mass index, glucose), and patient-centered outcomes (e.g., T2DM self-efficacy, T2DM-related distress). Process evaluation data (e.g., successful food box deliveries, diabetes educator consultation attendance, intervention satisfaction) are collected during and post-intervention (3-months). A cost-effectiveness analysis based on traditional cost per quality-adjusted life year gain thresholds will be conducted to estimate the incremental cost-effectiveness between HFDI plus consultation and consultation alone.

CONCLUSION

Findings from this study will provide evidence regarding the effectiveness of an intervention that promotes participant adherence and improves access to healthy food.

CLINICAL TRIAL REGISTRATION

NCT04876053.

Association of food insecurity with changes in diet quality, weight, and glycemia over two years in adults with prediabetes and type 2 diabetes on medicaid

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota

The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010, n = 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.

Intake of Pistachios as a Nighttime Snack Has Similar Effects on Short- and Longer-Term Glycemic Control Compared with Education to Consume 1-2 Carbohydrate Exchanges in Adults with Prediabetes: A 12-Wk Randomized Crossover Trial

BACKGROUND

Nut intake is associated with better glycemic control and lower cardiovascular disease (CVD) risk. It remains unclear if nut intake timing affects glycemic control and CVD risk factors. Intake of pistachios as a nighttime snack may attenuate morning glucose production and lower fasting plasma glucose (FPG).

OBJECTIVES

We assessed the effects of a nighttime (after dinner and before bedtime) pistachio snack (57 g/d) on glycemic control markers, vascular health, lipids/lipoproteins, and diet quality compared with education to consume 1-2 carbohydrate (CHO) exchanges (usual care) in individuals with prediabetes.

METHODS

A 2-period, randomized crossover trial was conducted. Participants were provided 57 g/d of dry roasted unsalted pistachios (319 kcal; fat 26 g; CHO 16 g; protein 12 g; fiber 6 g) as a nighttime snack or received usual care for 12 wk. Primary (FPG) and secondary outcomes [hemoglobin A1c (HbA1c), insulin, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), lipids/lipoproteins, vascular health, and Healthy Eating Index-2015 (HEI-2015)] were measured before and after each condition.

RESULTS

A total of 66 participants (50.9 ± 11.6 y, FPG: 106.2 ± 6.4 mg/dL) were randomly assigned, and 51 participants completed the trial. No between-condition differences in FPG {0.9 mg/dL [95% confidence interval (CI): -1.2, 3.1]}, HbA1c, insulin, HOMA-IR, lipids/lipoproteins, blood pressure, or vascular health were observed. The HEI-2015 score was higher after the pistachio condition [6.8 points (95% CI: 1.5, 12.1)] than after usual care driven by higher component scores for seafood and plant proteins [2.0 points (95% CI: 1.0, 2.9)], refined grains [2.3 points (95% CI: 1.1, 3.5)], and the fatty acid ratio [1.7 points (95% CI: 0.0, 3.5)].

CONCLUSIONS

In adults with prediabetes, consuming 57 g/d of pistachios as a nighttime snack increased diet quality but had similar effects on glycemic markers, lipids/lipoproteins, blood pressure, and vascular health compared with the usual care comparator. Pistachios may be a healthful alternative to carbohydrate-rich nighttime snacks to increase alignment with Dietary Guidelines for Americans. This trial was registered at clinicaltrials.gov as NCT04056208.

Perceived and calculated diet quality improvements in a randomized mHealth weight loss trial

The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes.

Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria

BACKGROUND

The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization.

METHODS

A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups.

RESULTS

The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status.

CONCLUSIONS

The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

Food Insecurity and Changes in Diet Quality and Body Mass Index z-Scores Among Elementary School Students

Background: Previous research has identified food insecurity as a risk factor for obesity but those studies employed cross-sectional designs and were largely focused on adults and young children. In addition, there is a paucity of studies examining the association between food insecurity and changes in children's overall diet quality. This study aimed to assess whether food insecurity is associated with subsequent changes in diet quality and BMI z-scores over 2 years among 7- to 12-year-old children. Methods: We used 2011-2019 secondary data (n = 404) from three randomized controlled trials in Minnesota. Food insecurity was identified using the U.S. Household Food Security Survey Module at baseline (Time 0). Diet quality was determined using the Healthy Eating Index (HEI)-2015 from 24-hour recalls, and BMI z-scores were calculated using measured height and weight. These two outcomes were measured at Time 0, Time 1 (10-12 months from Time 0), and Time 2 (15-24 months from Time 0). Results: Compared with children from food-secure households, those from food-insecure households experienced a 0.13 greater increase in BMI z-scores from Time 0 to Time 2 [95% confidence interval (CI): 0.04 to 0.21] and a 4.5 point increase in HEI-2015 from Time 0 to Time 1 (95% CI: 0.99 to 8.01). Conclusion: Household food insecurity may widen weight disparities among elementary school-aged children. Further studies are needed to identify the role of diet quality in weight changes among children with food insecurity. Clinical Trial Registration Number: NCT01538615, NCT02029976, NCT02973815.

The Healthy Eating Index-2015 and All-Cause/Cause-Specific Mortality: A Systematic Review and Dose-Response Meta-Analysis

This meta-analysis was undertaken to determine the predictive value of Healthy Eating Index (HEI)-2015 in all-cause, cancer-cause, and cardiovascular disease (CVD)-cause mortality. This review was registered with PROSPERO as CRD42023421585. PubMed and Web of Science were searched for articles published by September 15, 2023. The hazard ratio (HR) was calculated with exact confidence intervals (CIs) of 95%. Statistical heterogeneity among studies was measured by Cochran's Q test (χ2) and the I2 statistic. Eighteen published studies were finally identified in this meta-analysis. The results showed that the HEI-2015 was associated with all-cause mortality either as a categorical variable (HR: 0.80; 95% CI: 0.79, 0.82) or continuous variable (HR: 0.90; 95% CI: 0.88, 0.92). The HEI-2015 was also associated with cancer-cause mortality as categorical variable (HR: 0.81; 95% CI: 0.78, 0.83) or continuous variable (HR:  0.90; 95% CI: 0.81, 0.99). The categorical HEI-2015 was also independently correlated with decreasing CVD-cause mortality (HR: 0.81; 95% CI: 0.75, 0.87). A nonlinear dose-response relation between the HEI-2015 and all-cause mortality was found. In the linear dose-response analysis, the risk of mortality from cancer decreased by 0.42% per 1 score increment of the HEI-2015 and the risk of CVD-cause mortality decreased by 0.51% with the increment of the HEI-2015 per 1 score. Our analysis indicated a significant relationship between the HEI-2015 and all-cause, cancer-cause, and CVD-cause mortality.

Dietary Adherence and Cognitive Performance in Older Adults by Nativity Status: Results from the National Health and Nutrition Examination Survey (NHANES), 2011-2014

Although adherence to dietary guidelines is associated with better cognitive performance, there may be differences by nativity status. This study aimed to investigate the association between adherence to the healthy eating index (HEI) and cognitive performance (CP) among United States (US)-born and foreign-born older adults (60+ years). Data were obtained from the 2011-2014 NHANES (n = 3065). Dietary adherence was assessed with HEI quintiles. CP (adequate vs. low) was examined using word listing (CERAD), animal naming (AFT), and the digit symbol substitution test (DSST). Weighted multivariable logistic regressions were used to examine associations. The US-born participants in higher dietary quintiles had adequate CP when compared to foreign-born participants. In adjusted models, the US-born participants in the highest HEI quintile had increased odds of adequate DSST scores (odds ratio: 1.95, 95% confidence interval: 1.15-3.28) compared with those in the lowest quintile. Patterns of association were generally reversed for foreign-born participants and were non-statistically significant. Future research should consider the influence of diets in delaying or preventing decline in cognition and evaluate nutritional factors that contribute to cognitive outcomes for the foreign-born population.

One Avocado per Day as Part of Usual Intake Improves Diet Quality: Exploratory Results from a Randomized Controlled Trial

Background

Few clinical trials have evaluated diet quality change as a predictor of intervention effectiveness.

Objectives

The aim of this study was to examine changes in the Healthy Eating Index (HEI)-2015 after a food-based intervention, and assess the associations between HEI-2015 change and intervention effects on cardiometabolic risk-related outcomes.

Methods

The Habitual Diet and Avocado Trial was a 26-wk, multicenter, randomized, controlled parallel-arm study. Participants were 1008 individuals aged ≥25 y with abdominal obesity (females ≥ 35 inches; males ≥ 40 inches). The avocado-supplemented diet group was provided 1 avocado per day, and the habitual diet group maintained their usual diet. Change in diet quality was assessed using the HEI-2015 from a single 24-h recall conducted at 4 time points. Mixed models were used for analysis.

Results

The avocado-supplemented diet group had a greater increase in the HEI-2015 (4.74 points; 95% CI: 2.93, 6.55) at 26 wk than the habitual diet group. Compared with the habitual diet group, the avocado-supplemented diet group had greater increases in the following HEI-2015 components from baseline: total vegetables (0.99 points; 95% CI: 0.77, 1.21), fatty acid ratio (2.25 points; 95% CI: 1.74, 2.77), sodium (1.03 points; 95% CI: 0.52, 1.55), refined grains (0.82 points; 95% CI: 0.32, 1.31), and added sugars (0.84 points; 95% CI: 0.49, 1.19). No differences in HEI-2015 improvements were observed by race, ethnicity, study site, body mass index, or age category. In the avocado-supplemented diet compared with the habitual diet group, the HEI-2015 increased in females (6.50 points; 95% CI: 4.39, 8.62) but not in males (0.02 points; 95% CI: -3.44, 3.48). Median HEI-2015 change was not associated with intervention-related changes in cardiometabolic disease risk factors.

Conclusions

Intake of 1 avocado per day for 26 wk in adults with abdominal obesity increased adherence to the Dietary Guidelines for Americans. Changes in diet quality did not predict changes in risk factors for cardiometabolic disease.This trial was registered at clinicaltrials.gov as NCT03528031 (https://clinicaltrials.gov/study/NCT03528031).

Diet quality and cardiovascular outcomes: A systematic review and meta-analysis of cohort studies

AIMS

To evaluate relationships between diet quality and cardiovascular outcomes.

METHODS

Six databases were searched for studies published between January 2007 and October 2021. Eligible studies included cohort studies that assessed the relationship between a priori diet quality and cardiovascular disease mortality and morbidity in adults. The Academy of Nutrition and Dietetics Checklist was used to assess the risk of bias. Study characteristics and outcomes were extracted from eligible studies using standardised processes. Data were summarised using risk ratios for cardiovascular disease incidence and mortality with difference compared for highest versus lowest diet quality synthesised in meta-analyses using a random effects model.

RESULTS

Of the 4780 studies identified, 159 studies (n = 6 272 676 adults) were included. Meta-analyses identified a significantly lower cardiovascular disease incidence (n = 42 studies, relative risk 0.83, 95% CI 0.82-0.84, p < 0.001) and mortality risk (n = 49 studies, relative risk 0.83, 95% CI 0.82-0.84, p < 0.001) among those with highest versus lowest diet quality. In sensitivity analyses of a high number of pooled studies (≥13 studies) the Mediterranean style diet patterns and adherence to the heart healthy diet guidelines were significantly associated with a risk reduction of 15% and 14% for cardiovascular disease incidence and 17% and 20% for cardiovascular disease mortality respectively (p < 0.05).

CONCLUSIONS

Higher diet quality is associated with lower incidence and risk of mortality for cardiovascular disease however, significant study heterogeneity was identified for these relationships.

Nutritional assessment and dietary intervention among survivors of childhood cancer: current landscape and a look to the future

Over 85% of childhood cancer patients become long-term survivors. Still, cancer and its therapies are associated with a myriad of long-term complications such that childhood cancer survivors (CCS) endure excess disease burden, morbidity, and mortality throughout their lifetimes. Existing literature suggests that CCS maintain poor dietary intake and nutritional status. Thus, as childhood cancer cure rates continue to improve, the role of diet and nutrition in mitigating many of the most common adverse long-term health outcomes among CCS has gained significant interest. Herein we present an in-depth review of existing scientific literature evaluating dietary intake and nutrition status among CCS and its impact on treatment-related health complications; as well as contemporary intervention strategies aimed at overcoming distinctive barriers and improving deleterious lifestyle behaviors in this heterogeneous, at-risk population. Patient-specific, clinical, and systemic factors act as barriers to the timely conduct of comprehensive dietary/nutritional assessments and provision of tailored, risk-based recommendations. This Mini Review discusses the current state of the science, persisting research gaps, and opportunities for advancement of assessment and intervention strategies to address the unique needs of CCS. Search Strategy: We searched PubMed for peer-reviewed articles with the search terms "pediatric cancer," "pediatric malignancy," "pediatric oncology," "childhood cancer," "survivorship," "cancer late effects," "long-term follow-up," "body mass index," "nutritional status," "malnutrition," "body weight," "body weight changes," "body composition," "obesity," "overweight ", "Mediterranean diet," "DASH diet," "processed foods," "micronutrients," "antioxidants," "vitamin D," "calcium," "selenium," "zinc," "metabolic syndrome," "heart disease," "cardiovascular disease," "cardiometabolic disease," "hypertension," "hyperlipidemia," "HDL," "LDL," and "small dense LDL" from January 1, 1995, to July 21, 2023. We also selected relevant articles from our personal files and from reference lists of identified papers. We prioritized publications after 2013; however, commonly cited and highly regarded (defined by high citation count and journal impact factor) older publications were also included. Randomized controlled trials, observational studies, retrospective studies, meta-analysis, editorials, and review articles were included, whereas conference abstracts and case reports were excluded. We only searched for articles published in English, or those translated into English.

Association between alternative healthy eating index (AHEI) with metabolic health status in adolescents with overweight and obesity

BACKGROUND

There has been lack of evidence on the association between healthy dietary patterns and metabolic health status of adolescents. The present study aimed to evaluate the association between alternative healthy eating index (AHEI) and metabolic health status among a relatively representative sample of Iranian adolescents with overweight/obesity.

METHODS

Adolescents with extra body weight (n = 203, aged 12-18 y), were selected for this cross-sectional study by a multistage cluster random-sampling method. Habitual dietary intakes and diet quality of individuals were assessed using validated food frequency questionnaire and AHEI-2010, respectively. Data on other covariates were also gathered by pre-tested questionnaires. To determine fasting glucose, insulin and lipid profiles, fasting blood samples were collected. Participants were categorized as having metabolically healthy overweight/obesity (MHO) or metabolically unhealthy overweight/obesity (MUO) phenotypes, based on two approaches (International Diabetes Federation (IDF) and combination of IDF with Homeostasis Model Assessment Insulin Resistance (HOMA-IR)).

RESULTS

The overall prevalence of MUO was 38.9% (based on IDF criteria) and 33.0% (based on IDF/HOMA-IR criteria). After considering all potential confounders, participants in highest tertiles of AHEI-2010 had lower odds of MUO profile according to both IDF (OR = 0.05; 95% CI: 0.01-0.15) and IDF/HOMA-IR (OR = 0.05; 95% CI: 0.02-0.19) definitions. This association was stronger in adolescents with overweight compared with obese ones and also among girls than boys. Moreover, each unit increase in AHEI-2010 score was associated with lower risk of MUO based on both criteria.

CONCLUSIONS

Higher adherence to AHEI-2010 was inversely associated with odds of MUO in Iranian adolescents with overweight/obesity.

My Diet Study: protocol for a two-part observational, longitudinal, psycho-biological study of dieting in Australian youth

Introduction

Self-directed dieting (i.e., unsupervised) is very common among adolescents and young adults but has had almost no direct research. This paper describes the protocol for the My Diet Study, a two-arm observational investigation of the natural progression of dieting among young people over a period of 6-months. The study aims to examine the links between self-directed dieting, general physiological and psychological metrics of wellbeing (e.g., depressive symptoms) and biomarkers of gut-brain axis functions (e.g., microbiome and hormones) that are predicted to influence diet adherence through appetite, mood and metabolism regulation.

Methods

Young people aged 16-25, intending to start a diet will be invited to participate in this observational study. For Part 1 (psychological arm), participants will be asked to complete a set of questionnaires and diaries at the beginning of every month for 6 months, to assess overall mental (e.g., psychological distress, disordered eating) and physical (e.g., weight) health, perceived diet success, food intake and gastrointestinal movements. For Part 2 (biological arm), a subsample of 50 participants will be asked to provide feces, blood and saliva for bio-sampling each month for the first 3-months of their participation in Part 1.

Discussion

The My Diet Study will be the first longitudinal, observational study of dieting in young people combining in-depth psychological and biological data. It is anticipated that the findings will yield psychological & biological information about the impacts and effectiveness of self-directed dieting in young people, inform a framework for advice on safety in dieting among young people and help to establish the potential for biomarkers for risk management and improvement of diet-based lifestyle interventions.

Effect of an mHealth weight loss intervention on Healthy Eating Index diet quality: the SMARTER randomised controlled trial

In the few weight loss studies assessing diet quality, improvements have been minimal and recommended calculation methods have not been used. This secondary analysis of a parallel group randomised trial (regsitered: https://clinicaltrials.gov/ct2/show/NCT03367936) assessed whether self-monitoring with feedback (SM + FB) v. self-monitoring alone (SM) improved diet quality. Adults with overweight/obesity (randomised: SM n 251, SM + FB n 251; analysed SM n 170, SM + FB n 186) self-monitored diet, physical activity and weight. Real-time, personalised feedback, delivered via a study-specific app up to three times daily, was based on reported energy, fat and added sugar intake. Healthy Eating Index 2015 (HEI-2015) scores were calculated from 24-hour recalls. Higher scores represent better diet quality. Data were collected August 2018 to March 2021 and analysed spring 2022. The sample was mostly female (78·9 %) and white (85·4 %). At baseline, HEI-2015 total scores and bootstrapped 95 % CI were similar by treatment group (SM + FB: 63·11 (60·41, 65·24); SM: 61·02 (58·72, 62·81)) with similar minimal improvement observed at 6 months (SM + FB: 65·42 (63·30, 67·20); SM: 63·19 (61·22, 64·97)) and 12 months (SM + FB: 63·94 (61·40, 66·29); SM: 63·56 (60·81, 65·42)). Among those who lost ≥ 5 % of baseline weight, HEI-2015 scores improved (baseline: 62·00 (58·94, 64·12); 6 months: 68·02 (65·41, 71·23); 12 months: 65·93 (63·40, 68·61)). There was no effect of the intervention on diet quality change. Clinically meaningful weight loss was related to diet quality improvement. Feedback may need to incorporate more targeted nutritional content.

Menu Calorie Label Use and Diet Quality: a Cross-Sectional Study

INTRODUCTION

Menu calorie labeling has been implemented in food service businesses to promote healthy food choices; however, evidence is limited on whether label use is associated with healthier dietary intake. This study examined the association between menu calorie label use and diet quality and whether it varied by weight status.

METHODS

Adults in the National Health and Nutrition Examination Survey 2017-2018 who visited restaurants were included. Menu calorie label use was categorized as did not notice labels, noticed labels, and used labels. Diet quality was measured using the Healthy Eating Index 2015 (maximum score 100) by two 24-hour diet recalls. The association between menu calorie label use and diet quality was examined using multiple linear regression and tested for effect modification by weight status. Data were collected during 2017-2018 and analyzed during 2022-2023.

RESULTS

Of 3,312 participants (representing 195,167,928 U.S. adults), 43% did not notice labels, 30% noticed labels, and 27% used labels. Using labels was associated with 4.0 points (95% CI 2.2, 5.8) higher Healthy Eating Index 2015 scores than not noticing labels. Healthy Eating Index 2015 scores in those using labels were higher for adults with normal BMI (3.4 points; 95% CI=0.2, 6.7), overweight (6.5 points; 95% CI=3.6, 9.5), and obesity (3.0 points; 95% CI=1.0, 5.1) (p-interaction=0.0004) than those who did not notice labels.

CONCLUSIONS

Using menu calorie labels was associated with modestly healthier diet quality than not noticing labels, regardless of weight status. This suggests that providing caloric information may help some adults with food decisions.

Protecting traditional cultural food practices: Trends in diet quality and intake of ultra-processed foods by Indigenous status and race/ethnicity among a nationally representative sample of adults in Canada

Background

The traditional cultural food practices of Indigenous people and adults from racial/ethnic minority groups may be eroded in the current food system where nutrient-poor and ultra-processed foods (UPF) are the most affordable and normative options, and where experiences of racism may promote unhealthy dietary patterns. We quantified absolute and relative gaps in diet quality and UPF intake of a nationally representative sample of adults in Canada by Indigenous status and race/ethnicity, and trends between 2004 and 2015.

Methods

Adults (≥18 years) in the Canadian Community Health Survey-Nutrition self-reported Indigenous status and race/ethnicity and completed a 24-h dietary recall in 2004 (n = 20,880) or 2015 (n = 13,970) to calculate Healthy Eating Index-2015 (HEI-2015) scores from 0 to 100 and proportion of energy from UPF. Absolute and relative dietary gaps were quantified for Indigenous people and six racial/ethnic minority groups relative to White adults and trends between 2004 and 2015.

Results

Adults from all six racial/ethnic minority groups had higher mean HEI-2015 scores (58.7-61.9) than White (56.3) and Indigenous adults (51.9), and lower mean UPF intake (31.0%-41.0%) than White (45.9%) and Indigenous adults (51.9%) in 2015. As a result, absolute gaps in diet quality were positive and gaps in UPF intake were negative among racial/ethnic minority groups-indicating more favourable intakes-while the reverse was found among Indigenous adults. Relative dietary gaps were small. Absolute and relative dietary gaps remained largely stable.

Conclusions

Adults from six racial/ethnic minority groups had higher diet quality and lower UPF intake, whereas Indigenous adults had poorer diet quality and higher UPF intake compared to White adults between 2004 and 2015. Absolute and relative dietary gaps remained largely stable. Findings suggest racial/ethnic minority groups may have retained some healthful aspects of their traditional cultural food practices while highlighting persistent dietary inequities that affect Canada's Indigenous people.

Construct validity of the Charitable Food Nutrition Index

Background

Food pantries are an important source of food for those facing food insecurity. The Charitable Food Nutrition Index (CFNI) was developed for research and practice to measure the nutritional quality of assortments of foods in this setting.

Objective

The study assessed the construct validity of the CFNI using secondary data from a group-randomized food pantry intervention in Minnesota.

Methods

The CFNI was calculated for each client cart post-intervention (n = 187; 85 intervention, 102 control). CFNI scores were based on the proportion of items in each client cart ranked "green," "yellow," or "red" using the Healthy Eating Research Nutrition Guidelines for the Charitable Food System. An implementation score assessing intervention fidelity was measured for each pantry (n = 11; 5 intervention, 6 control) based on the four intervention subcomponents: aesthetics/use of space; healthy food prominence and appeal; unhealthy food de-emphasis; and stocking standards. Mixed linear models were used to test whether: (a) client carts from pantries in the intervention condition had higher CFNI scores than those in the control condition, and (b) higher implementation scores were associated with higher CFNI scores.

Results

In adjusted models, clients from intervention group pantries had higher CFNI scores, reflecting a healthier assortment of foods compared with clients from control group pantries (p = 0.022). CFNI scores were positively associated with greater fidelity to the intervention (p = 0.020).

Conclusions

The CFNI was sensitive enough to detect the effects of the intervention in the expected directions. These findings support its construct validity and utility as a measure in the charitable food system.

Associations between Participation in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and Maternal Diet Quality

BACKGROUND

An objective of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is to improve maternal diet quality, but its effectiveness remains unclear. Better understanding how WIC participation shapes women's diet quality is crucial given that maternal diet plays a critical role in determining mothers' and children's short- and long-term overall health.

OBJECTIVES

This study aimed to compare the diet quality of WIC-participating women to WIC-eligible nonparticipating women and higher-income pregnant and postpartum women using a nationally representative sample.

METHODS

This was a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. Women aged 20 to 44 with at least one 24-h recall and complete data on pregnancy and postpartum status and WIC participation were included (n = 626). Diet quality was evaluated using the Healthy Eating Index-2015 (HEI-2015). Multivariable Tukey-adjusted linear models were used to compare HEI-2015 total and component scores between groups. Models were adjusted for age, pregnancy and postpartum status, breastfeeding status, race and ethnicity, and food security.

RESULTS

Most women were postpartum and not pregnant (75%), nonbreastfeeding (60%), identified as non-Hispanic White (58%), and food secure (64%). WIC participants, WIC-eligible nonparticipants, and income-ineligible women had mean Total HEI-2015 scores of 52.7 (95% confidence interval [CI]: 50.6, 54.8), 54.2 (95% CI: 51.6, 56.7), and 55.0 (95% CI: 51.8, 58.2), respectively. There were no differences between groups for total and most component scores. Income-ineligible women had better Fatty Acids scores (5.7; 95% CI: 5.0, 6.4) than WIC participants (4.7; 95% CI: 4.1, 5.3; P < 0.05). WIC-eligible nonparticipants had better Refined Grains scores (6.0; 95% CI: 5.3, 6.6) than WIC participants (5.0; 95% CI: 4.4, 5.6; P < 0.05).

CONCLUSIONS

Overall diet quality was similar across WIC and income groups. Lower HEI-2015 component scores for WIC participants compared with WIC-eligible nonparticipants warrant further exploration. Research evaluating WIC's impact on maternal diet quality is needed to ensure continued support for low-income women's health.

Association of Food Insecurity with Changes in Diet Quality, Weight, and Glycemia Over Two Years in Adults with Prediabetes and Type 2 Diabetes on Medicaid

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

Diet quality, diet-related factors and disability status among male adults of reproductive age in the USA

OBJECTIVE

To examine diet quality and diet-related factors among male adults of reproductive age with and without disabilities.

DESIGN

Cross-sectional data from the National Health and Nutrition Examination Surveys, 2013-2018.

SETTING

Disability was reported as serious difficulty hearing, seeing, concentrating, walking, dressing and/or running errands due to physical, mental or emotional conditions. Diet quality was assessed by the Healthy Eating Index (HEI)-2015 and diet-related factors included self-rated diet healthfulness, food security and food assistance programmes. Multivariable linear regression estimated differences in HEI-2015 scores. Multivariable Poisson regression estimated adjusted prevalence ratios (aPR) and 95 % CI for diet-related factors.

PARTICIPANTS

In total, 3249 males, 18-44 years; of whom, 441 (13·4 %) reported having disabilities.

RESULTS

Compared with males without disabilities, those with disabilities had a 2·69-point (95 % CI: -4·18, -1·20) lower mean total HEI-2015 score and approximately one-third to half of a point lower HEI-2015 component scores for greens and beans, total protein foods, seafood and plant proteins, fatty acids and added sugars. Males with any disabilities were more likely to have low food security (aPR = 1·57; 95 % CI: 1·28, 2·92); household participation in food assistance programmes (aPR = 1·61; 95 % CI: 1·34, 1·93) and consume fast food meals during the previous week (1-3 meals: aPR = 1·11; 95 % CI: 1·01-1·21 and 4 or more meals: aPR = 1·18; 95 % CI: 1·01-1·38) compared with males with no disabilities.

CONCLUSIONS

Factors affecting diet and other modifiable health behaviours among male adults of reproductive age with disabilities require further investigation. Health promotion strategies that are adaptive to diverse populations within the disability community are needed.

Food Insecurity and Diet Quality Among Adults on Medicaid With and Without a Mental Illness Diagnosis

BACKGROUND

Adults with mental illnesses are more likely to have low income and diet-related chronic diseases.

OBJECTIVE

This study examined associations of mental illness diagnosis status with food insecurity and diet quality and whether the relationship between food security status and diet quality differed by mental illness diagnosis status in adult Medicaid beneficiaries.

DESIGN

This was a secondary cross-sectional analysis of baseline (2019-2020) data collected as part of the LiveWell study, a longitudinal study evaluating a Medicaid food and housing program.

PARTICIPANTS/SETTING

Participants were 846 adult Medicaid beneficiaries from an eastern Massachusetts health system.

MAIN OUTCOME MEASURES

Food security was measured with the 10-item US Adult Food Security survey module (0 = high food security, 1-2 = marginal food security, 3-10 = low/very low food security). Mental illness diagnoses included health record-documented anxiety, depression, or serious mental illness (eg, schizophrenia, bipolar disorder). Healthy Eating Index (HEI-2015) scores were calculated from 24-hour dietary recalls.

STATISTICAL ANALYSES

Multivariable regression analyses adjusted for demographics, income, and survey date.

RESULTS

Participants' mean (standard deviation) age was 43.1 (11.3) years, and 75% were female, 54% Hispanic, 33% non-Hispanic White, and 9% non-Hispanic Black. Fewer than half (43%) of participants reported high food security, with almost one third (32%) reporting low or very low food security. The 341 (40%) participants with one or more mental illness diagnosis had greater odds of low/very low food security (adjusted odds ratio [OR], 1.94; 95% confidence interval [CI], 1.38-2.70) and had similar mean HEI-2015 scores (53.1 vs 56.0; P = 0.12) compared with participants with no mental illness diagnosis. Mean adjusted HEI-2015 scores did not significantly differ by high vs low/very low food security for those without a mental illness diagnosis (57.9 vs 54.9; P = 0.052) or those with a mental illness diagnosis (53.0 vs 52.9; P = 0.99).

CONCLUSION

In a cohort of adults with Medicaid, those with mental illness diagnoses had higher odds of experiencing food insecurity. Overall, diet quality among adults in this sample was low but did not differ by mental illness diagnosis or food security status. These results highlight the importance of augmenting efforts to improve both food security and diet quality among all Medicaid participants.

Post-Diagnosis Dietary Patterns among Cancer Survivors in Relation to All-Cause Mortality and Cancer-Specific Mortality: A Systematic Review and Meta-Analysis of Cohort Studies

The role of overall diet on longevity among cancer survivors (CS) needs further elucidation. We performed a systematic review of the literature and a meta-analysis of related cohort studies published up to October 2022 investigating post-diagnosis a priori (diet quality indices) and a posteriori (data-driven) dietary patterns (DPs) in relation to all-cause and cancer-specific mortality. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using random-effects meta-analyses comparing highest versus lowest categories of adherence to DPs. We assessed heterogeneity and risk of bias in the selected studies. A total of 19 cohort studies with 38,846 adult CS, some assessing various DPs, were included in the meta-analyses. Higher adherence to a priori DPs was associated with lower all-cause mortality by 22% (HR = 0.78, 95% CI: 0.73-0.83, I2 = 22.6%) among all CS, by 22% (HR = 0.78, 95% CI: 0.73-0.84, I2 = 0%) among breast CS and by 27% (HR = 0.73, 95% CI: 0.62-0.86, I2 = 41.4%) among colorectal CS. Higher adherence to a "prudent/healthy" DP was associated with lower all-cause mortality (HR = 0.79, 95% CI: 0.64-0.97 I2 = 49.3%), whereas higher adherence to a "western/unhealthy" DP was associated with increased all-cause mortality (HR = 1.48, 95% CI: 1.26-1.74, I2 = 0%) among all CS. Results for cancer-specific mortality were less clear. In conclusion, higher adherence to a "healthy" DP, either a priori or a posteriori, was inversely associated with all-cause mortality among CS. A "healthy" overall diet after cancer diagnosis could protect and promote longevity and well-being.

The association between multidimensional sleep health and gestational weight gain

BACKGROUND

Although poor sleep health is associated with weight gain and obesity in the non-pregnant population, research on the impact of sleep health on weight change among pregnant people using a multidimensional sleep health framework is needed.

OBJECTIVES

This secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n = 745) examined associations between mid-pregnancy sleep health indicators, multidimensional sleep health and gestational weight gain (GWG).

METHODS

Sleep domains (i.e. regularity, nap duration, timing, efficiency and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined 'healthy' sleep in each domain with empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis and composite score defined as the sum of healthy sleep domains. Total GWG, the difference between self-reported pre-pregnancy weight and the last measured weight before delivery, was converted to z-scores using gestational age- and BMI-specific charts. GWG was defined as low (<-1 SD), moderate (-1 or +1 SD) and high (>+1 SD).

RESULTS

Nearly 50% of the participants had a healthy sleep profile (i.e. healthy sleep in most domains), whereas others had a sleep profile defined as having varying degrees of unhealthy sleep in each domain. The individual sleep domains were associated with a 20%-30% lower risk of low or high GWG. Each additional healthy sleep indicator was associated with a 10% lower risk of low (vs. moderate), but not high, GWG. Participants with late timing, long duration and low efficiency (vs. healthy) profiles had the strongest risk of low GWG (relative risk 1.5, 95% confidence interval 0.9, 2.4). Probabilistic bias analysis suggested that most associations between individual sleep health indicators, sleep health profiles and GWG were biased towards the null.

CONCLUSIONS

Future research should determine whether sleep health is an intervention target for healthy GWG.

Development of the Healthy Eating Index-Toddlers-2020

The Healthy Eating Index-Toddlers-2020 (HEI-Toddlers-2020) is a measure for assessing how well a set of foods aligns with new guidance in the Dietary Guidelines for Americans, 2020-2025 (DGA) for toddlers aged 12 through 23 months. This new tool was developed using consistent features and the guiding principles of the HEI. The HEI-Toddlers-2020, like HEI-2020, has 13 components reflecting all constituents of dietary intake, except for human milk or infant formula. These components include the following: Total Fruits, Whole Fruits, Total Vegetables, Greens and Beans, Whole Grains, Dairy, Total Protein Foods, Seafood and Plant Proteins, Fatty Acids, Refined Grains, Sodium, Added Sugars, and Saturated Fats. Healthy dietary patterns for toddlers have unique considerations reflected in the scoring standards for Added Sugars and Saturated Fats. Toddlers have lower energy intake relative to high nutrient needs and added sugars should be avoided. Another distinctive difference is that there is no recommendation to limit saturated fats to <10% of energy intake in this age group; however, saturated fats cannot be unlimited without displacing the energy available to achieve other food group and subgroup goals. Calculations using the HEI-Toddlers-2020, like the HEI-2020, result in a total score and a set of individual component scores that reveal a dietary pattern. The release of a HEI-Toddlers-2020 will enable assessment of diet quality that aligns with the DGA and support additional methodological research to examine needs specific to each life stage and how to model trajectories of healthy dietary patterns.

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.

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.

Dietary per- and polyfluoroalkyl substance (PFAS) exposure in adolescents: The HOME study

BACKGROUND

Diet is the primary exposure pathway for per- and polyfluoroalkyl substances (PFAS) in non-occupationally exposed populations. Few studies have examined associations of dietary quality and macronutrient intake with PFAS exposure among US adolescents.

OBJECTIVE

To assess relationships of self-reported dietary quality and macronutrient intake with serum PFAS concentrations in adolescents.

METHODS

We used cross-sectional data from 193 Cincinnati, Ohio area adolescents (median age 12.3 years) collected from 2016 to 2019. Using 24-h food recalls completed by adolescents on three separate days, we derived Healthy Eating Index (HEI) scores, HEI components, and macronutrient intake. We measured perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA) concentrations in fasting serum samples. Using linear regression, we estimated covariate-adjusted associations between dietary variables and serum PFAS concentrations.

RESULTS

The median HEI score was 44 and median serum PFOA, PFOS, PFHxS, and PFNA concentrations were 1.3, 2.4, 0.7, and 0.3 ng/mL respectively. In adjusted models, higher total HEI scores, whole fruit and total fruit HEI component scores, and total dietary fiber intake were associated with lower concentrations of all four PFAS. For example, serum PFOA concentrations were 7% lower (95% CI: -15, 2) per standard deviation increase in total HEI score and 9% lower (95% CI: -18, 1) per standard deviation increase in dietary fiber.

SIGNIFICANCE

Given adverse health effects associated with PFAS exposure, it is crucial to understand modifiable exposure pathways. Findings from this study may inform future policy decisions aiming to limit human exposure to PFAS.

Adherence to a healthy diet and odds of metabolic syndrome: A cross-sectional study

INTRODUCTION

Metabolic syndrome (MetS) is a major health concern around the world. Dietary factors, including diet quality, play a significant role in its pathophysiology. Healthy Eating Index (HEI) is a tool used as a valid measurement of the individual's diet quality. We aimed at investigating the relationship between diet quality as assessed by HEI-2015 and the risk of MetS and its components in a cross-sectional sample of suburban individuals from PERSIAN Kavar cohort study (PKCS), Fars province, Iran.

METHODS

2225 individuals meeting the eligibility criteria participated in the study. The relevant data were obtained from the baseline phase of PKCS. MetS was defined according to cut-offs presented by the National Cholesterol Education Program Adult Treatment Panel III (ATP III). HEI-2015 was calculated for the included individuals. Odds ratios were estimated. P-values <0.05 were considered as significant.

RESULTS

The overall prevalence of MetS was 27.3%. Individuals with lower HEI-2015 scores had higher odds for MetS and its components. We observed that those who were categorized as the top HEI-2015 tertile had 42% (OR: 0.58; 95% CI: 0.38-0.90) lower odds of high blood pressure in the overall population. Also, the odds of high serum triacylglycerol was lower (OR: 0.72; 95% CI: 0.57-0.90) in those with the highest HEI-2015 scores.

CONCLUSION

We found that higher dietary quality measured by HEI will decrease the risk of developing MetS, hypertension, and hypertriglyceridemia among Iranian adults. However, future interventional studies are required to further elucidate the issue.

Diet quality, ultra-processed food consumption, and quality of life in a cross-sectional cohort of adults and teens with celiac disease

BACKGROUND

Coeliac disease (CeD), a common autoimmune condition, requires strict adherence to a gluten-free diet (GFD). Adherence to the GFD has been associated with quality of life (QOL). However, there may be other diet-related concerns, such as overall diet patterns, including diet quality or ultra-processed food (UPF) consumption, possibly associated with QOL among people with CeD following a GFD that have not been examined.

METHODS

Diet quality was determined based on 24-h diet recalls of a cross-sectional prospectively recruited sample of 80 participants (50 adults and 30 teens) with biopsy-confirmed CeD ('Study Sample') using the Healthy Eating Index and Alternate Mediterranean Diet score. The amount of UPF consumed was assessed using Nova, a food processing classification system. QOL was measured using Celiac Disease-Specific Quality of Life (CDQOL) and Celiac Disease Pediatric-Specific Quality of Life (CDPQOL). The Study Sample's diet patterns were compared with National Health and Nutrition Examination Survey (NHANES) groups (25 adults reporting prior CeD and GFD; 51 adults with new CeD and no GFD; 15,777 adults and 2296 teens without CeD). The relationship of the Study Sample's diet patterns with CDQOL/CDPQOL was assessed using analysis of covariance.

RESULTS

The Study Sample's diet patterns were suboptimal but generally favourable compared with all NHANES groups. Compared to Study Adults with the highest tertile of UPF, those with the lowest tertile had significantly higher CDQOL (mean: 67.6 vs. 78.3, p < 0.001). Compared to Study Teens with the lowest tertile of AMED, those with the highest tertile had significantly higher CDPQOL (mean: 67.0 vs. 79.9, p < 0.01).

CONCLUSIONS

Maintaining high diet quality and minimising UPF may be important for CeD-specific QOL among individuals with CeD maintaining a GFD.

Experiences of Racial Discrimination and Periconceptional Diet Quality

BACKGROUND

Racism is a key determinant of perinatal health disparities. Poor diet may contribute to this effect, but research on racism and dietary patterns is limited.

OBJECTIVE

We aimed to describe the relation between experiences of racial discrimination and adherence to the 2015‒2020 Dietary Guidelines for Americans.

METHODS

We used data from a prospective pregnancy cohort study conducted at 8 United States medical centers (2010‒2013). At 6‒13 weeks of gestation, 10,038 nulliparous people with singleton pregnancies were enrolled. Participants completed a Block food frequency questionnaire, assessing usual diet in the 3 mo around conception, and the Krieger Experiences of Discrimination Scale, assessing the number of situational domains (e.g., at school and on the street) in which participants ever experienced racial discrimination. Alignment of dietary intake with the 2015-2020 Dietary Guidelines for Americans was assessed using the Healthy Eating Index (HEI)-2015.

RESULTS

The study showed that 49%, 44%, 35%, and 17% of the Asian, Black, Hispanic, and White participants reported experiences of racial discrimination in any domain. Most participants experienced discrimination in 1 or 2 situational domains. There were no meaningful differences in HEI-2015 total or component scores in any racial or ethnic group according to count of self-reported domains in which individuals experienced discrimination. For example, mean total scores were 57‒59 among Black, 61‒66 among White, 61‒63 among Hispanic, and 66‒69 among Asian participants across the count of racial discrimination domains.

CONCLUSIONS

This null association stresses the importance of going beyond interpersonal racial discrimination to consider the institutions, systems, and practices affecting racialized people to eliminate persistent inequalities in diet and perinatal health.

A Pilot Study Examining the Association of Parental Stress and Household Food Insecurity with Dietary Quality in Pre-School-Aged Children

Adequate dietary quality is necessary for children's appropriate development and may be influenced by family factors. This study with 24 healthy 3-5-year-old children assessed the associations of parental stress and household food insecurity (HFI) with a child's dietary quality. Parents completed three 24 h dietary recalls, and the Healthy Eating Index was calculated to assess dietary quality. Parents also completed a questionnaire, including The Perceived Stress Scale (assessing overall parental stress) and the Hunger Vital Sign screen (assessing HFI). Children's height/weight were measured, and BMIz was calculated. Separate multivariable linear regression models assessed the association of dietary quality components with HFI and parental stress, adjusting for household income, child sex, and child BMI z-score. In bivariate analyses, children with HFI consumed more added sugars, and parental stress was associated with the child's greens/beans intake. In multivariable analysis, HFI was associated with lower total protein scores and higher added sugar intake, while parental stress was associated with lower greens/beans intake. Higher household income was associated with higher total vegetable and sodium intake, and children with a higher BMIz had a lower total protein intake. Parental stress and HFI can impact a child's dietary quality; providers should counsel families on strategies to improve diet quality.

Effects of a School-Based Gardening, Cooking, and Nutrition Cluster Randomized Controlled Trial on Unprocessed and Ultra-Processed Food Consumption

BACKGROUND

School-based gardening and nutrition education interventions report improvements in dietary intake, notably through fruit and vegetables. However, gardening, cooking, and nutrition randomized controlled trials are limited in evaluating dietary quality, and none have examined processed food consumption to date.

OBJECTIVES

The study examined the effects of Texas Sprouts (TX Sprouts), a gardening, cooking, and nutrition education intervention, compared with control on unprocessed and ultra-processed food (UPF) consumption in predominately low-income Hispanic children.

METHODS

TX Sprouts was a school-based cluster randomized controlled trial that consisted of 16 elementary schools randomly assigned to either the TX Sprouts intervention (n = 8 schools) or control (delayed intervention; n = 8 schools) over 3 y (2016-2019). TX Sprouts schools received an outdoor teaching garden and 18 1-h lessons taught by trained educators throughout the school year. Dietary intake data via 2 24-h dietary recalls were collected on a random subsample (n = 468) at baseline and postintervention. All foods and beverages were categorized using the NOVA food classification system (e.g., unprocessed, processed, ultra-processed). Generalized linear mixed effects modeling tested changes in percent calories and grams of NOVA groups between the intervention and control estimates with schools as random clusters.

RESULTS

Of the sample, 63% participated in the free and reduced-price lunch program, and 57% were Hispanic, followed by non-Hispanic White (21%) and non-Hispanic Black (12%). The intervention, compared to the control, resulted in an increase in consumption of unprocessed foods (2.3% compared with -1.8% g; P < 0.01) and a decrease in UPF (-2.4% compared with 1.4% g; P = 0.04). In addition, Hispanic children in the intervention group had an increase in unprocessed food consumption and a decrease in UPF consumption compared to non-Hispanic children (-3.4% compared with 1.5% g; P < 0.05).

CONCLUSIONS

Study results suggest that school-based gardening, cooking, and nutrition education interventions can improve dietary intake, specifically increasing unprocessed food consumption and decreasing UPF consumption. This trial was registered at clinicaltrials.gov as NCT02668744.

Usual nutrient intakes and diet quality among United States older adults participating in the Supplemental Nutrition Assistance Program compared with income-eligible nonparticipants

BACKGROUND

The proportion of older adults with food insecurity at 8% has increased faster than that of the general United States population from 2001 to 2017. Many low-income food-insecure older adults rely on food-assistance programs, such as the Supplemental Nutrition Assistance Program (SNAP), for meeting energy and nutrient needs, whereas others are eligible but do not participate. Neither updated nutrient intake estimates nor potential differences in meeting the Dietary Reference Intakes from foods alone and with dietary supplements (DS) among low-income older adults using or eligible for SNAP are known.

OBJECTIVES

This study assessed and compared national estimates of usual nutrient adequacy and dietary quality of United States older adults using SNAP and income-eligible nonparticipants.

METHODS

Usual dietary intake was estimated among older adults (≥60 y; n = 2582) in the 2007-2016 NHANES cross-sectional national survey. Data on food-assistance participation and eligibility (poverty-income-ratio ≤130%), DS use, and ≥24-h dietary recalls were used. The NCI method (Markov Chain Monte Carlo approach) was applied to estimate mean usual nutrient intakes, proportion of inadequate nutrient intake, and dietary quality using the 2015 Healthy Eating Index.

RESULTS

Neither usual nutrient intake from dietary and total sources nor dietary quality differed between older adult SNAP participants and eligible nonparticipants. Low dietary quality and high percentage of inadequate intake for several nutrients were apparent among both groups, especially from food sources alone, including vitamins A (56%), C (55%), D (97%), E (99%), calcium (73%), and magnesium (74%), but rates were attenuated when DS were also considered (i.e., 36% reduced risk for vitamin D inadequacy).

CONCLUSIONS

Diet quality and usual nutrient intake among older adult SNAP participants and eligible nonparticipants were poor, but DS lowered the risk of nutrient inadequacy. Future policies and programs should focus on improving the intake of vitamins A, C, D, E, calcium, and magnesium and dietary quality for all older adults.