Total Healthy Eating Index Score Research Articles

The development and testing of a single-arm feasibility and acceptability study of a whole foods diet intervention for adults with prediabetes and their offspring

BackgroundDiet is considered a first-line treatment option for prediabetes, a condition that affects 96 million United States (U.S.) adults. Diet patterns that prioritize whole foods (e.g., Mediterranean) are currently recommended to treat prediabetes. However, no studies have tested whether a U.S.-style diet pattern that prioritizes whole foods can be used to treat prediabetes. The purpose of this study was to assess the feasibility and acceptability of a whole foods diet for adults with prediabetes and their offspring prior to conducting a larger clinical trial.MethodsA 2-week single-arm pre-post experimental controlled-feeding intervention of a 2020–2025 Dietary Guidelines for Americans adapted whole foods diet (e.g., primarily focused on foods that have undergone limited processing or refinement) was conducted in adults (25–59 years) with prediabetes and their biological offspring (6–17 years). Families received 2 weeks of menus and grocery delivery and weekly counseling by a registered dietitian. Families were invited to attend an optional focus group session. Feasibility was based on having a ≥ 50% family completion rate with ≥ 80% completion of study outcomes. Measures included adult–child anthropometrics (weight [kg], body mass index [BMI] including BMI% and Z-scores for offspring, waist circumference [cm]) and child diet quality estimated using the 2015 Healthy Eating Index (HEI) from a single random food record. Wilcoxon signed rank was used to compare differences between baseline and 2-week anthropometrics measures and offspring total HEI scores. Qualitative data were analyzed using thematic analysis to understand factors attributed to diet adherence and acceptability.ResultsEight families enrolled (n = 8 adults, n = 12 offspring), with 7 families completing the study (12% attrition) and completing 100% of study outcome measures. Adults experienced a median weight loss of − 1.0 kg from baseline to 2 weeks (79.5 kg to 78.5 kg). Offspring had a 24-point increase in total 2015 HEI scores (median difference 50 to 74). Focus group participants (n = 4 adults) reported being satisfied with the program and expressed a willingness to continue the diet despite identified barriers.ConclusionsA whole foods diet that provides dietary support was found to be feasible and acceptable for families at risk for T2D. Future studies are needed to test the effects of the diet on prediabetes outcomes, diet quality, and diet adherence in adults and families.Trial registrationNCT05483972 at ClinicalTrials.gov. Registered July 25, 2022. https://clinicaltrials.gov/study/NCT05483972?cond=prediabetes&term=whole%20foods%20&rank=1

Diet Quality and Eating Frequency Were Associated with Insulin-Taking Status among Adults.

This pilot cross-sectional study explored differences in dietary intake and eating behaviors between healthy adults and a group of adults taking insulin to manage diabetes. A characteristic questionnaire and up to four Automated Self-Administered 24-Hour dietary recalls were collected from 152 adults aged 18-65 years (96 healthy and 56 adults taking insulin) from Indiana and across the U.S. from 2022 to 2023. The macronutrient intake, diet quality via the Healthy Eating Index (HEI)-2015, eating frequency, and consistency of timing of eating were calculated and compared between the two groups using adjusted linear or logistic regression models. The total mean HEI scores were very low, at 56 out of 100 and 49 out of 100 for the healthy and insulin-taking groups, respectively. Insulin-taking adults had significantly lower HEI total (p = 0.003) and component scores compared to the healthy group for greens and beans (2.0 vs. 3.0, p = 0.02), whole fruit (2.1 vs. 2.9, p = 0.05), seafood and plant proteins (2.1 vs. 3.3, p = 0.004), and saturated fats (3.7 vs. 5.4, p = 0.05). Eating frequency was significantly lower in the insulin-taking group than in the healthy group (3.0 vs. 3.4 eating occasions/day, p = 0.05). Evidence of the low diet quality and eating frequency of insulin takers may help inform and justify nutrition education to control and manage diabetes.

Dietary Sugar and Saturated Fat Consumption Associated with the Gastrointestinal Microbiome during Pregnancy

BackgroundGrowing evidence supports changes in the gastrointestinal microbiome over the course of pregnancy may have an impact on the short- and long-term health of both the mother and the child. ObjectiveOur objective was to explore the association of diet quality, as measured by the Healthy Eating Index (HEI), with the composition and gene ontology (GO) representation of microbial function in the maternal gastrointestinal microbiome during pregnancy. MethodsWe conducted a retrospective, observational analysis of n = 185 pregnant participants in the Pregnancy Eating Attributes Study. Maternal dietary intake was assessed in the first trimester using the automated self-administered 24-h recall method, from which the HEI 2015 was calculated. Rectal swabs were obtained in the second trimester and sequenced using the NovaSeq 6000 system shotgun platform. We used unsupervised clustering to identify microbial enterotypes representative of maternal taxa and GO functional term composition. Multivariable linear models were used to identify associations between taxa, functional terms, and food components while controlling for relevant covariates. Multinomial regression was then used to predict enterotype membership based on a participant’s HEI food component score. ResultsThose in the high diet quality tertile had a lower early pregnancy BMI [mean (M) = 23.48 kg/m2, SD = 3.38] compared with the middle (M = 27.35, SD = 6.01) and low (M = 27.49, SD = 6.99) diet quality tertiles (P < 0.01). There were no statistically significant associations between the HEI components or the total HEI score and the 4 alpha diversity measures. Differences in taxa and GO term enterotypes were found in participants with, but not limited to, a higher saturated fat component score (β = 1.35, P = 0.01), added sugar HEI component (β = 0.07, P < 0.001), and higher total dairy score (β = 1.58, P = 0.01). ConclusionsSpecific dietary components are associated with microbial composition and function in the second trimester of pregnancy. These findings provide a foundation for future testable hypotheses.

The effects of shift work on sleep quality, diet quality, and obesity-related factors: A male population study

ABSTRACT Recent studies suggest that shift working may trigger health issues through disrupted circadian rhythms and altered eating habits. This study aimed to examine the possible associations of shift work with sleep quality, diet quality and obesity-related parameters. This study was conducted with 150 males (75 shift and daytime workers) aged 24–50 years. Dietary intake was determined using the 24-hour recall method, and dietary quality was evaluated using the Healthy Eating Index-2010 (HEI-2010). Anthropometrical measurements and body composition were assessed. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality. Fasting and postprandial glucose and insulin, and fasting lipid levels were analyzed. HOMA-IR was calculated, and blood pressure was measured. The total HEI-2010 score of shift workers (52.6 [45.4–58.8]) was lower than the daytime workers (55.9 [49.1–64.9]) (p = 0.016). Among individuals with good sleep quality, the total HEI-2010 score, seafood and plant proteins, fatty acids, and sodium scores were lower in shift workers compared to others (p < 0.05 for each). Non-obese shift workers had higher body weight, waist circumference, waist/hip ratio, VLDL-cholesterol, triglyceride, postprandial glucose, and insulin levels compared to daytime workers (p < 0.05 for each). This study demonstrates that shift working is associated with lower diet quality independent of sleep quality.

The Relationship between Lifestyle Behaviors and Mental Illness in Women in College.

Women, particularly those in college, have the highest prevalence of any mental illness (MI), which negatively impacts social connection, academic performance, and health. Research into alternative treatment methods suggests that lifestyle behaviors are safer and more effective than medication at reducing MI symptoms. This study explores the relationship between lifestyle behaviors and MI in college women through an online survey. The survey included a food frequency questionnaire (Diet History Questionnaire II) and questions about lifestyle behaviors, symptoms of MI, and sociodemographic information. Diet quality was calculated using the Healthy Eating Index (HEI), and MI was assessed using the Depression, Anxiety, and Stress Scale-21. Independent sample t-tests, ANOVA, and chi-square analyses were conducted. A total of 222 women completed the survey. Overall, diet quality was poor, with a mean HEI of 62.6 ± 10.4. No significant differences or associations were found between MI groups for total HEI score, sleep, or tobacco use. However, alcohol use was significantly associated with MI (p = 0.049). Individuals with fewer concurrent unhealthy lifestyle behaviors had less severe symptoms of depression (p = 0.009) and anxiety (p < 0.001) compared to those with more unhealthy lifestyle behaviors. In this study, alcohol use was the only independent lifestyle behavior associated with symptoms of MI. We also found an association between the number of concurrent unhealthy lifestyle behaviors and depression and anxiety symptoms. Future research should explore the benefits of a healthy lifestyle on MI in a more diverse sample of women.

Association of healthy eating index and self-rated health in adults living in Tehran: a cross-sectional study

BackgroundSelf-rated health (SRH) has been identified in many studies as a valid predictor of mortality and healthcare utilization. There is limited research on SRH and dietary intake. This study aimed to investigate the association between healthy eating index (HEI) and SRH in adults living in Tehran.MethodsThis cross-sectional study was carried out among 850 adult men and women aged 20–59 years who visited health centers in Tehran from 2021 to 2022. Dietary intake was assessed using a validated and reliable semiquantitative food frequency questionnaire with 168 food items, and SRH was assessed with one question: “In general, how do you rate your health?“. We categorized SRH into excellent/very good, good, and fair/poor. In the descriptive statistics part, we used mean ± standard deviation or number (ratio) for quantitative and qualitative variables, respectively. The chi-squared test and one-way analysis of variance were used to calculate the percentage and mean for demographic characteristics across tertiles of SRH. An analysis of covariance was used to compare the means of energy, macronutrients, the HEI, and its component variables across the tertiles of SRH.ResultsThe final sample included 795 participants (68.2% female; mean ± standard deviation age: 44.81 ± 10.62 years) whose 40% reported excellent/very good SRH, and 30% reported good and fair/poor SRH separately. There was no association between body mass index, physical activity, education, health status, smoking, and sleep duration with SRH. After adjustment, the total HEI score and its component scores did not differ across the tertiles of SRH status. However, participants with good SRH had a higher intake of total energy (mean difference (MD): 180.33 Kcal, P value < 0.001), total fat (MD: 8.15 gr, P value = 0.002), and total carbohydrates (MD: 20.18 gr, P value = 0.004) than those with fair/poor SRH.ConclusionAccording to our findings, fair/poor SRH was associated with a lower consumption of total energy, total fat, and total carbohydrates in Iranian adults. Additional observational studies would be necessary to clarify these findings.

Diet in Food Insecurity: A Mediator of Metabolic Health?

Food insecurity (FI) is associated with poor metabolic health. It is assumed that energy intake and diet quality underlie this association. We tested the hypothesis that dietary factors (quantity and quality) mediate the association of FI with excess weight, waist circumference and glycemic control [glycohemoglobin (A1C)]. A mediation analysis was performed on data from the National Health And Nutrition Examination Survey using FI as an independent variable; body mass index (BMI), waist circumference, and A1C as metabolic outcome variables and total energy intake, macronutrients, and diet quality measured by the Healthy Eating Index-2015 (HEI-2015) as potential mediators. Despite a greater prevalence of obesity in participants experiencing FI, daily reported energy intake was similar in food-secure and -insecure subjects. In adjusted analyses of the overall cohort, none of the examined dietary factors mediated associations between FI and metabolic outcomes. In race-stratified analyses, total sugar consumption was a partial mediator of BMI in non-Hispanic Whites, while diet quality measures (HEI-2015 total score and added sugar subscore) were partial mediators of waist circumference and BMI, respectively, for those in the "other" ethnic group. Dietary factors are not the main factors underlying the association of FI with metabolic health. Future studies should investigate whether other social determinants of health commonly present in the context of FI play a role in this association.

Lower Diet Quality Associated with Subclinical Gastrointestinal Inflammation in Healthy United States Adults

BackgroundHigher diet quality has been associated with lower risk of developing inflammatory bowel disease, but associations between diet and gastrointestinal (GI) inflammation in healthy adults prior to disease onset are understudied. ObjectivesThe purpose of this project was to examine associations between reported dietary intake and markers of GI inflammation in a healthy adult human cohort. MethodsIn a cross-sectional observational trial of 358 healthy adults, participants completed ≤3 unannounced 24-h dietary recalls using the Automated Self-Administered Dietary Assessment Tool and a Block 2014 Food Frequency Questionnaire to assess recent and habitual intake, respectively. Those who provided a stool sample were included in this analysis. Inflammation markers from stool, including calprotectin, neopterin, and myeloperoxidase, were measured by ELISA along with LPS-binding protein from plasma. ResultsRecent and habitual fiber intake was negatively correlated with fecal calprotectin concentrations (n = 295, P = 0.011, 0.009). Habitual soluble fiber intake was also negatively correlated with calprotectin (P = 0.01). Recent and habitual legume and vegetable intake was negatively correlated with calprotectin (P = 0.013, 0.026, 0.01, 0.009). We observed an inverse correlation between recent Healthy Eating Index (HEI) scores and calprotectin concentrations (n = 295, P = 0.026). Dietary Inflammatory Index scores were calculated and positively correlated with neopterin for recent intake (n = 289, P = 0.015). When participants with clinically elevated calprotectin were excluded, recent and habitual fiber, legume, vegetable, and fruit intake were negatively correlated with calprotectin (n = 253, P = 0.00001, 0.0002, 0.045, 0.001, 0.009, 0.001, 0.004, 0.014). Recent total HEI score was inversely correlated with subclinical calprotectin (P = 0.003). ConclusionsHigher diet quality may be protective against GI inflammation even in healthy adults.This trial was registered at clinicaltrials.gov as NCT02367287.

SOCIAL ISOLATION AND DIET QUALITY AMONG US ADULTS WITH A DISABILITY IN NHANES, 2013–2018

Abstract Social isolation and disability are established risk factors for poor nutrition. There is limited understanding of how social isolation affects diet quality specifically among adults with disability. This cross-sectional analysis used NHANES 2013-2018 data to assess whether social isolation is associated with diet quality among adults with disabilities. Adults with a disability, not pregnant/breastfeeding, and not missing dietary intake data were included (n=5,167). Disability was defined based on reporting difficulty with any activities of daily living, instrumental activities of daily living, lower extremity mobility activities, or general physical activities. Diet quality was assessed using the Healthy Eating Index (HEI); higher scores corresponded to higher diet quality. We computed a social isolation index by summing single status, living alone, and two social engagement difficulty measures (1 point for each component met; 4 points maximum). Multivariable linear regression, controlling for demographic and health covariates, estimated differences in HEI scores for dietary intake, by social isolation score. The highest social isolation score category was associated with lower total HEI score (β = -1.71 points, 95% CI -3.08, -0.34), and lower intake of vegetables (β = -0.39 points, 95% CI -0.59, -0.20) and seafood/plant proteins (β = -0.37 points, 95% CI -0.60, -0.13). Single status and both social engagement measures were associated with lower scores on certain adequacy components. There was little evidence of effect modification by age or gender (p-interaction &amp;gt;0.05). Among socially isolated adults with disabilities, increasing access to fresh foods, particularly vegetables and seafood/plant proteins, should be a priority.

Diet Quality of Young Children in the US-Affiliated Pacific's Children's Healthy Living (CHL) Program.

Childhood diet can impact health outcomes over the life course. Few studies have assessed dietary quality among infants and children in the US-Affiliated Pacific (USAP) region. The aim of this study was to examine the differences in diet quality among Pacific children in the Children's Healthy Living (CHL) program by Pacific jurisdiction and by their World Bank Income Group (WBIG) level. This cross-sectional study used dietary records collected from 2012 to2015. Data were collected on 2- to 8-year-old children (n= 3,529) enrolled in the Children's Healthy Living Program for Remote Underserved Minority Populations in the Pacific region, conducted in the USAP jurisdictions of Alaska, Hawai'i, American Samoa, Commonwealth of the Northern Mariana Islands (CNMI), Guam, Federated States of Micronesia (FSM islands include Chuuk, Kosrae, Pohnpei, Yap), Republic of the Marshall Islands (RMI), and Republic of Palau. Diet quality was assessed using the Healthy Eating Index-2005 (HEI-2005). This HEI version was commensurate with the time of dietary data collection for the CHL project and previous studies, thus allowing cross-study comparisons. Means of total HEI-2005 scores between jurisdictions and their WBIG level were compared using linear models, with and without adjustment for age, sex, and dietary energy. Differences in mean HEI-2005 scores among children were found between jurisdictions and their WBIG level. Alaska had the highest adjusted mean score (63.3). RMI had the lowest adjusted mean score (50.1). By WBIG, lower-middle income jurisdictions had the lowest adjusted mean HEI-2005 score (56.0), whereas high income jurisdictions had the highest adjusted mean HEI-2005 score (60.5). Variation in children's diet quality was found between USAP jurisdictions, notably between jurisdictions of different WBIG levels. Future research is needed to deepen understanding of these differences in diet quality by WBIG level, such as whether differences may be attributable to the jurisdictions' varying food systems, and possibly explained by the nutrition transition. Understanding childhood diet quality in this region can inform approaches for nutrition programs in the Pacific region.

Abstract A020: Examining the dietary patterns &amp; quality of life among Latina breast and gynecologic cancer survivors in Avanzado Juntas

Abstract Purpose: Cancer survivor guidelines encourage plant-based eating patterns to improve diet quality. Studies examining diet and cancer survivorship among Latina/Hispanic cancer survivors (BGCS) are limited, and few intervention efforts have targeted this historically underserved community. Avanzado Juntas (AJ) was developed with and for Latina/Hispanic breast and gynecologic cancer (BGSC) survivors to promote weight loss, improve diet quality, and increase physical activity. These analyses describe pre and post-intervention dietary intake quality among AJ participants. Methods: The 16-week AJ intervention was adapted from the evidence-based Moving Forward intervention for African American breast cancer survivors leveraging focus group data and collaborating with our Community Advisory Board (previously presented). AJ was then pilot tested in a randomized trial with 35 Latina/Hispanic BGCS. To be eligible, women had to have a BMI &amp;gt; 25 kg/m2, be diagnosed with non-metastatic breast or gynecologic cancer, and have completed treatment (except hormonal). Participants completed surveys, ASA 24-hour diet recall (x2), and a physical assessment at baseline and post-intervention. Women were then randomized to an interventionist (IG) or self-guided (SG) arm. Both groups received a program workbook. The IG group also received in-person education/supervised exercise classes, cooking classes, and text messaging. Diet quality was scored using the Healthy Eating Index (HEI). Scores were compared within and between groups using the Wilcoxon rank sign test with a non-parametric analysis of differences. Notably, the AJ pilot began just as the COVID-19 pandemic began, paused, and then was restarted with safety measures in place. Results: Following the AJ intervention, the IG group reported increased greens and beans (p=.01), higher total protein (p=.008), and reduced added sugars (p=.04) consumption compared to the SG group. Within IG, significant improvements were observed for total vegetables (p=.03), greens and beans (p=.002), and refined grains (p=.03); total HEI Score approached significance (p=.07) . Conversely, in the SG group, significant increases in refined grains (p=.03) )and added sugar consumption (p=.04) was observed post-intervention. Conclusion: These differences suggest the efficacy of the guided intervention relative to the self-guided intervention. Results are of particular interest given the timing during the Pandemic and reflect the concerted effort of participants to purchase and prepare healthy foods. AJ is an example of how culturally relevant interventions and tools can promote diet quality improvements. Future efforts will examine adherence to cancer survivors guidelines and consider ways to integrate this type of programming within existing community resources. . Citation Format: Sandra I. Contreras, Marina Feffer, AnaKaren Manriquez Prado, Alexis Visotcky, Sailaja Kamaraju, Staci Young, Patricia Sheean, Melinda Stolley. Examining the dietary patterns &amp; quality of life among Latina breast and gynecologic cancer survivors in Avanzado Juntas [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A020.

Comparison of Dietary Intake and Dietary Inflammatory Index in Patients with Chronic Lymphocytic Leukemia By Treatment Status to Cohabitating Controls

Chronic lymphocytic leukemia (CLL) is an incurable disease with a varied presentation ranging from indolent and asymptomatic to morbid and life-limiting. As tumor biology insufficiently explains this variability, we hypothesized that behavioral and environmental factors including diet and the gut microbiome, where diet is a key influence, may influence CLL pathogenesis and response to therapy. We performed a cross-sectional sample and survey collection study of the gut microbiome, blood, and diet in patients with CLL treated at the University of Nebraska Medical Center between 2021-2023. Eligible subjects included 1) untreated CLL with Rai stage 2-4 disease (untreated CLL), 2) CLL treated with a Bruton's tyrosine kinase inhibitor (BTKi), and 3) individuals without cancer cohabitating with enrolled CLL subjects (control). All subjects provided stool samples for microbial analysis, and subjects with CLL provided blood for serum cytokine analysis. All subjects completed the Diet History Questionnaire version 3.0 (DHQ-3). The DHQ-3 is a self-administered food frequency questionnaire, where participants complete 135 questions on food/beverages and 26 on dietary supplements consumed in the past month. A total and component healthy eating index (HEI) score was derived from the DHQ-3 and represents how well diet intake corresponds to the dietary guidelines recommended by the United States Department of Agriculture and Health and Human Services. The HEI is based on 13 individual components (Figure 1) and scored from 0-100, where higher scores indicate healthier diets. Inflammatory capacity of the diet was assessed by the Dietary Inflammatory Index (DII) (Shivappa et al, Public Health Nutrition, 2013), a measure of dietary components associated with serum markers of inflammation. The DII has a range of scores up to 7.98 suggestive of greater systemic inflammation (median DII score 0.23), and a minimum of -8.87, suggestive of consumption of anti-inflammatory foods. The DII was calculated and compared between each cohort. Statistical analysis was performed using ANOVA. A total of 58 subjects enrolled on the study, 42 with CLL and 16 cohabitating controls. A total of 27 subjects were included in the analysis after data cleaning. Fifteen subjects (56%) were treated with a BTKi, 5 (19%) had untreated Rai stage 2 disease, and 7 (26%) were cohabitating controls. Median ages (72 vs 67 vs 71 for BTKi, untreated, control, respectively) were similar. Median absolute lymphocyte count was 3.2 cells x10^3/µL (1.3 - 131 range) in the BTKi and 55 cells x10^3/µL (13-134 range) in the untreated cohort. There were 5/15 (33%) with 17p deletion and/or p53 mutation in the BTKi cohort and 2/5 (40%) in the untreated cohort. Median time from diagnosis to study entry was 30 months (range 3-151 months) in the untreated cohort, and median time on BTKi therapy was 30 months (range 2-92 months). Within the BTKi cohort, 33% received ibrutinib, 20% received zanubrutinib, and 47% received acalabrutinib. Overall dietary habits were largely similar between the 3 cohorts (Table 1). The mean total HEI score was higher in the untreated (66) and control (66) populations compared to the BTKi cohort (59) ( p = 0.23), although not significantly different. These scores are similar to the 2020 median score of 61 for Americans 60 years and above. Added sugar intake was highest in the untreated cohort (HEI component score of 9.6, 6.3, 8.6 untreated, BTKi, control p = 0.005, respectively) (Figure 1). After calculating the DII for each cohort, no statistically significant differences were observed (Table 1). The range of DII scores across subjects was -5.2 - 4.0, within the expected range for DII calculations. DII scores were 0.44, 0.2, 0.82 p = 0.89 for BTKI, untreated CLL, and control cohorts respectively. To our knowledge, this study is the first to analyze dietary patterns in well-defined homogenous CLL populations (BTKi vs Rai stage 2+ CLL cohort) and compare them to cohabitating individuals. Although overall dietary patterns and DII were similar across cohorts, slight differences in added sugar intake was observed between the cohorts, suggestive that subtle yet important dietary differences may be observed. These data provide a baseline to study personalize dietary approaches to patients with CLL, who increasingly ask clinicians for nutritional interventions as part of their comprehensive cancer care.

Do Household Headship and Gender Affect Diet Quality under the Supplemental Nutrition Assistance Program (SNAP)?

Examine whether the association between Supplemental Nutrition Assistance Program (SNAP) participation and diet quality is different by gender and household headship. Quantitative, cross-sectional. The 2007-2018 waves of the National Health and Nutrition Examination Survey (NHANES). 6180 individuals aged 20 to 65 with household annual income below 130% of the poverty level. The outcome of diet quality was measured using the 2015 Healthy Eating Index (HEI) based on dietary intake from 24-hour diet recall. The exposures were self-reported participation in SNAP and socio-demographic variables. Ordinary Least Square (OLS) regression models. The study found that female household heads had higher average total HEI scores relative to their male and non-head counterparts (β = 1.81, 95% CI: -.27, 3.88). However, for SNAP participants, female household heads had lower average total HEI scores (β = -3.67, 95% CI: -7.36, .11). Female household heads are more likely to experience difficulty in maintaining diet quality relative to their counterparts. The study suggests that intra-household effort allocation may play an important role in differentiating and maintaining diet quality.

Opportunities for Maximizing the Dietary Quality of Fad Diets

The quality of American diets, measured by the Healthy Eating Index (HEI), has remained stable and low since 2005. The Dietary Guidelines for Americans 2020–2025 call for research analyzing dietary patterns to determine how guidelines might be altered to increase healthy eating. The present paper seeks to determine the dietary quality of popular fad dietary patterns among Americans. A definition of “fad diet” was created, and Google Trends© was searched for popular diets to determine popular dietary patterns based on the fad diet definition. Finally, eight dietary patterns were identified for inclusion. One-week sample menus were created for each dietary pattern, maximizing alignment with the DGAs but staying within the dietary pattern parameters, and then scored according to the HEI 2015 to determine the dietary quality. Total HEI scores ranged from 26.7 (Carnivore) to 89.1 (Low-FODMAP); the six highest total HEI scores were in the range of 77.1–89.1 out of 100 points. This analytical approach showed that some of the included popular fad dietary patterns have the potential to attain a high dietary quality. Rather than suggesting one “best” diet or dietary pattern, there is opportunity to maximize dietary quality in the context of dietary patterns that are considered fad diets.

Beneficial role of healthy eating Index-2015 score & physical activity on COVID-19 outcomes

BackgroundNutritional status and physical activity are essential to maintain a strong immune system. No definite pharmacological strategies for Coronavirus disease 2019 treatment are presently available, so natural enhancement of the immune system is in need. Our goal was to assess the correlation of healthy diet and physical activity on COVID-19 disease outcome.MethodsThis cohort study was conducted on 68 adult patients who contracted mild (38) or moderate [30] cases of COVID-19, recruited via a convenience sampling technique from the outpatient clinic, Kasr Al-Aini Faculty of Medicine, Cairo University Hospital. Patients’ Healthy Eating Index (HEI) and degree of physical activity as measured by the Global Physical Activity Questionnaire were evaluated and linked with several inflammatory markers.ResultsMost of patients with mild COVID-19 patients (92.1%) were physically active, compared to only 50% of moderate COVID-19. The total Metabolic Equivalent Task-min/week was positively correlated with the lymphocyte percentage. The median total HEI score was significantly higher in the patients with mild COVID-19 than with moderate COVID. Significant positive correlations observed among the lymphocyte count and total HEI-2015. There was approximately a 64% reduction in the probability of acquiring moderate COVID-19 illness for each unit rise in The HEI.ConclusionHealthier nutrition and Physical activity correlated with reduced COVID-19 disease severity.Trial registrationThe study was registered on clinical trial.gov maintained by the US National Library of Medicine (CinicalTrials.gov identifier = NCT04447144; https://clinicaltrials.gov/) (25/06/2020).

Assessment of Healthy Eating Index and Serum Levels of 25-hydroxyvitamin D and Zinc in Prostate Cancer Patients

Background and Objectives Prostate cancer is the most common malignant cancer in men. In this study, the healthy eating index (HEI) and serum levels of 25-hydroxyvitamin D and zinc were evaluated in prostate cancer patients compared with healthy individuals. Subjects and Methods In this study, 30 men who had recently been diagnosed with prostate cancer were compared with 30 otherwise healthy age-matched men in terms of their serum levels of 25 hydroxyvitamin D and zinc as well as HEI. The latter was evaluated in both groups using a 3-day food record. Results There was no significant difference between the two groups in terms of age, weight, BMI and waist circumference. The scores of all components of HEI were not significantly different in the two groups, and in spite of the lower total HEI score in the prostate cancer group, this difference was not statistically significant. Differences between the two groups in terms of serum zinc levels were marginally significant (P-value=0.053). However, the serum level of 25-hydroxyvitamin D in the prostate cancer group was significantly lower than that in the control group (P-value =0.046). Conclusion The results of this study showed that there are statistically significant and marginally significant differences between prostate cancer patients and their otherwise healthy aged-matched counterparts in terms of serum levels 25 hydroxyvitamin D and zinc, respectively. There was no significant difference between the two groups regarding the HEI score.

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

BackgroundAn 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. ObjectivesThis 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. MethodsThis 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. ResultsMost 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). ConclusionsOverall 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.

Dietary Intake and Quality among Stroke Survivors: NHANES 1999–2018

BackgroundNutrition is an important modifiable risk factor for prevention and treatment of stroke. However, examination of nutrient intake and diet quality in stroke survivors is limited. ObjectivesThe aim of the study was to estimate usual nutrient intake and diet quality in US adults with and without a history of self-reported stroke. MethodsUsing US National Health and Nutrition Examination Survey (NHANES) 1999-2018, we analyzed demographics, health history, and dietary intake data in 1626 individuals with a history of stroke matched for age, gender, and survey cycle to respective controls (n=1621) with no history of stroke. A minimum of one 24-h dietary recall was used to assess dietary intake. Diet quality was determined using Healthy Eating Index 2015 (HEI-2015) scores. Adult food security was assessed based on responses to the US Department of Agriculture Household Food Security Survey Module. Physical and mental limitations were assessed from responses to the NHANES Physical Functioning Questionnaire. Estimates were reported as mean (standard error). ResultsIn comparison to controls, stroke survivors were more likely to be food insecure, experience poverty, and report physical and mental limitations (P < .001, all comparisons). Stroke survivors were more likely to report excessive (% > acceptable macronutrient distribution range) intake for total fat (50.9 [2.7]% vs. 40.4 [2.2]%, P < .001) and inadequate intake (% < estimated average requirement) for calcium (54.6 [1.8]% vs. 43.5 [2.4]%, P = .001) and magnesium (66 [1.8] vs. 53.6 [1.8]%, P < .001). In addition, stroke survivors reported lower HEI-2015 total scores than controls (49.8 vs. 51.9, P < .001). Finally, HEI-2015 total scores were lower in stroke survivors who were food insecure and those with a lower income-to-poverty ratio (< 185%) (P = .001). ConclusionsDietary intake in stroke survivors was nutritionally poor, with suboptimal nutrient intake and lower overall diet quality compared with age- and gender-matched controls. Furthermore, poverty and food insecurity were more prevalent in stroke survivors and associated with worse diet quality.

Diet quality and its associated factors among adults with overweight and obesity: findings from the 2015-2018 National Health and Nutrition Examination Survey.

The rate of adult severe obesity has been continually rising in the USA. While improving diet quality has been shown to reduce the risk of obesity, few studies have explored the differences in diet quality among adults with overweight and obesity by different weight statuses along with socio-demographic factors and physical activity using data from a nationally representative survey in the USA. The main goal of the study is to assess the diet quality of adults with overweight and obesity by examining differences in the Healthy Eating Index-2015 (HEI-2015) scores, using data from the 2015-2018 National Health and Nutrition Survey. Among 6746 adults with overweight and obesity (aged ≥ 20 years), severe obesity was prevalent (27 %), particularly among females, non-Hispanic Blacks and those with lower education and income. Compared to adults with overweight, adults with severe obesity had lower HEI-2015 total scores as well as component scores for total fruits, whole fruits, greens and beans, refined grains, sodium and saturated fats. Among adults with overweight and obesity, non-Hispanic Blacks had lower diet quality than non-Hispanic Asians; females had better diet quality than males; older adults had better diet quality than younger adults; adults with a college degree and above had better diet quality than those with less than a high school degree. Socio-demographic differences in diet quality and weight status should be considered in future obesity interventions to reduce adult severe obesity in the USA.

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.