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The USDA Thrifty Food Plan (TFP) is a federal estimate of a healthy diet at lowest cost for US population groups defined by gender and age. The present goal was to develop a version of the TFP that was more tailored to the observed dietary patterns of self-identified Hispanic participants in NHANES 2013–16. Analyses used the same national food prices and nutrient composition data as the TFP 2021. Diet quality was measured using the Healthy Eating Index 2015. The new Hispanic TFP (H-TFP) was cost-neutral with respect to TFP 2021 and fixed at $186/week for a family of four. Two H-TFP models were created using a quadratic programming (QP) algorithm. Fresh pork was modeled separately from other red meats. Hispanic NHANES participants were younger, had lower education and incomes, but had similar or higher HEI 2015 scores than non-Hispanics. Their diet included more pulses, beans, fruit, 100% juice, grain-based dishes, and soups, but less pizza, coffee, candy, and desserts. The H-TFP market basket featured more pork, whole grains, 100% fruit juice, and cheese. The second TFP model showed that pork could replace both poultry and red meat, while satisfying all nutrient needs. A vegetarian H-TFP proved infeasible for most age–gender groups. Healthy, affordable, and culturally relevant food plans can be developed for US population subgroups. [ABSTRACT FROM AUTHOR]

Objective: Most previous studies investigated the associations between intake of individual nutrients and risk of disease, which failed to consider the potential interactions and correlations between various nutrients contained in food. Although dietary quality scores provide a comprehensive evaluation of the entire diet, it remains elusive whether they are associated with the risk of pancreatic cancer. Methods: Dietary intake data collected with the Dietary Questionnaire (DQX) and Diet History Questionnaire (DHQ) were used to calculate HEI-2015 and DQI-R scores for participants in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. A high score indicates an increased intake of adequacy components and a decreased intake of moderation components. This study included 252 cases of pancreatic cancer documented from 58,477 persons during a median follow-up of 12.2years in the DQX cohort and 372 cases of pancreatic cancer ascertained from 101,721 persons during a median follow-up of 8.9years in the DHQ cohort. Cox proportional hazards regression analysis was performed to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the associations between the two dietary quality scores and pancreatic cancer risk. Results: After adjustment for confounders, HEI-2015 and DQI-R scores were not significantly associated with pancreatic cancer risk. However, a significantly lower risk was observed for overweight persons with a higher HEI-2015 score in the DQX cohort (HR [95% CI] comparing the highest with lowest tertile: 0.52 [0.32, 0.85], p for trend = 0.009) and those with higher scores of some individual components. Conclusion: Collectively, overall dietary quality is not associated with an altered risk of pancreatic cancer in this US population. [ABSTRACT FROM AUTHOR]

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With increasing rates of overweight and obesity and disparities by ethnicity, it is important to understand the role of diet in ameliorating this health problem. This study examined the relation of diet quality as measured by the Healthy Eating Index 2015 with body mass index (BMI; calculated as kg/m2) and obesity among participants of the Multiethnic Cohort (MEC) in cross-sectional analyses at 3 time points (T-1, T-2, and T-3) over 20 years. In a subset of 1,860 MEC participants, 3 cross-sectional analyses at cohort entry (1993 to 1996, T-1) and follow-ups in 2003 to 2008 (T-2) and 2013 to 2016 (T-3) were performed. The cohort consists of African American, Native Hawaiian, Japanese American, Latino, and White adults in Hawaii and California; mean age was 48 years at T-1. BMI and weight status in relation to diet quality were measured. Linear and multinomial logistic regressions were applied to analyze the relation of diet quality with BMI and obesity, while adjusting for known confounders. Healthy Eating Index 2015 increased by 6.1 and 5.1 units for men and women, respectively, from T-1 to T-3; the respective values for BMI were 1.5 and 2.4. Diet quality was inversely associated with BMI across time: BMI was lower by –0.47, –0.72, and –0.92 units for every 10-point increase in Healthy Eating Index 2015 scores at T-1, T-2, and T-3, respectively (P <.0001 for all). During the 20 years, the association was consistently high among Japanese American participants (–0.79, –0.87, and –1.02) and weakest in African American cohort members (–0.34, –0.37, and –0.40). Higher diet quality was related to lower odds of having obesity at all 3 time points; prevalence odds ratios were 0.72, 0.57, and 0.60. These findings suggest that consuming a high-quality diet is related to lower BMI and rates of overweight and obesity but with the strongest association at an older age. To understand the ethnic differences, investigations of dietary habits and behaviors and/or fat distribution patterns will be needed in the future. [ABSTRACT FROM AUTHOR]

BackgroundDiseases and disorders related to mental health are spreading like other chronic diseases all around the world. Considering the role of food in the prevention and treatment of these disorders, including major depression, investigating the relationship between different food patterns and this disorder is of particular importance. The aim of this study was to compare Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with healthy individuals.MethodsIn this case-control study, the final analysis was performed on 67 men and 111 women with an age range of 20–30 years. Height (cm), weight (kg), food frequency questionnaire (FFQ), physical activity (MET-min/week), demographic and PHQ-9 questionnaires were taken from all participants. In the following, all the food ingredients and their components were extracted and used to calculate HEI-2015 and DHD. Statistical analysis was performed using SPSS software with independent t-test, logistic regression and chi-square.ResultsIt was found that people with major depression in this study were mostly women and occupied. The average HEI-2015 in healthy people and those with major depression was 58 and 54.3, respectively. Also, the average DHD in these people was 60.5 and 55, respectively. HEI-2015 and DHD had a significant negative correlation with depression score (r = −0.16, p-value = 0.03) (r = −0.19, p-value = 0.01). Also, in the logistic regression model, before and even after adjusting confounders, HEI-2015 and DHD had a reduced odds ratio in people suffering from major depression. The two groups did not differ significantly in terms of the average factors of height, weight and body mass index (BMI).ConclusionIt seems that HEI2015 and DHD have a significant relationship in reducing major depression. However, due to the small number of studies in this regard, especially in the field of DHD, the need for more studies seems necessary.

The USDA Thrifty Food Plan (TFP) is a federal estimate of a healthy diet at lowest cost for US population groups defined by gender and age. The present goal was to develop a version of the TFP that was more tailored to the observed dietary patterns of self-identified Hispanic participants in NHANES 2013–16. Analyses used the same national food prices and nutrient composition data as the TFP 2021. Diet quality was measured using the Healthy Eating Index 2015. The new Hispanic TFP (H-TFP) was cost-neutral with respect to TFP 2021 and fixed at $186/week for a family of four. Two H-TFP models were created using a quadratic programming (QP) algorithm. Fresh pork was modeled separately from other red meats. Hispanic NHANES participants were younger, had lower education and incomes, but had similar or higher HEI 2015 scores than non-Hispanics. Their diet included more pulses, beans, fruit, 100% juice, grain-based dishes, and soups, but less pizza, coffee, candy, and desserts. The H-TFP market basket featured more pork, whole grains, 100% fruit juice, and cheese. The second TFP model showed that pork could replace both poultry and red meat, while satisfying all nutrient needs. A vegetarian H-TFP proved infeasible for most age–gender groups. Healthy, affordable, and culturally relevant food plans can be developed for US population subgroups.

Adherence to healthy dietary patterns is associated with a reduced risk of kidney dysfunction. Nevertheless, the age-related mechanisms that underpin the relationship between diet and kidney function remain undetermined. This study aimed to investigate the mediating role of serum α-Klotho, an anti-aging protein, in the link between a healthy diet and kidney function. A cross-sectional study was conducted on a cohort of 12,817 individuals aged between 40 and 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016. For each participant, the Healthy Eating Index 2015 (HEI-2015) score was calculated as a measure of a healthy dietary pattern. Creatinine-based estimated glomerular filtration rate (eGFR) was used to assess kidney function. Multivariable regression models were used to analyze the association between the standardized HEI-2015 score and eGFR after adjusting for potential confounders. Causal mediation analysis was performed to assess whether serum α-Klotho influenced this association. The mean (±SD) eGFR of all individuals was 86.8 ± 19.8 mL/min per 1.73 m2. A high standardized HEI-2015 score was associated with a high eGFR (β [95% CI], 0.94 [0.64–1.23]; p < 0.001). The mediation analysis revealed that serum α-Klotho accounted for 5.6–10.5% of the association of standardized overall HEI-2015 score, total fruits, whole fruits, greens and beans, and whole grain with eGFR in the NHANES. According to the results from the subgroup analysis, serum α-Klotho exerted a mediating effect in the participants aged 60–79 years and in males. A healthy diet may promote kidney function by up-regulating serum anti-aging α-Klotho. This novel pathway suggests important implications for dietary recommendations and kidney health. [ABSTRACT FROM AUTHOR]

Abstract Objective Research examining associations between diet quality and obesity in Iranian adults is limited by small and non‐representative samples. This study examined associations between two diet quality indices and obesity risk in a nationally representative sample of Iranian adults and interactions by sex and area of residence. Methods Data on 18,307 adults (mean age 37 [SD 15.2] years) were used from the Iranian National Survey 2001–2003. Two diet quality indices (Healthy Eating Index 2015, HEI‐2015, and Diet Quality Index International, DQI‐I) were calculated from household 24‐h dietary recalls. Multi‐level regression analyses were used to examine the association between household diet quality and individual‐level obesity risk, with interaction terms for sex and area of residence. Results Higher household HEI‐2015 and DQI‐I were associated with higher risk of obesity (HEI‐2015: relative risk ratio: 1.04, 95% CI: 1.03, 1.05; DQI‐I: relative risk ratio: 1.02, 95% CI: 1.01, 1.02), with stronger effect sizes in adults living in rural areas. Conclusions Higher diet quality (HEI‐2015 and DQI‐I) was associated with higher obesity risk, which was stronger in adults living in rural areas. Due to the complexity of examining these associations in a Middle Eastern country undergoing a nutrition transition, longitudinal research is needed to confirm these findings.

Background There is a scarcity of validated rapid dietary screening tools for patient use in the clinical setting to improve health and reduce cardiovascular risk. The Healthy Eating Index (HEI) 2015 measures compliance with the 2015 to 2020 Dietary Guidelines for Americans but requires completion of an extensive diet assessment to compute, which is time consuming and impractical. The authors hypothesize that a 19‐item dietary survey assessing consumption of common food groups known to affect health will be correlated with the HEI‐2015 assessed by a validated food frequency questionnaire and can be further reduced without affecting validity. Methods and Results A 19‐item Eating Assessment Tool (EAT) of common food groups was created through literature review and expert consensus. A cross‐sectional survey was then conducted in adult participants from a preventive cardiology clinic or cardiac rehabilitation and in healthy volunteers (n=661, mean age, 36 years; 76% women). Participants completed an online 156‐item food frequency questionnaire, which was used to calculate the HEI score using standard methods. The association between each EAT question and HEI group was analyzed by Kruskal‐Wallis test. Linear regression models were subsequently used to identify univariable and multivariable predictors for HEI score for further reduction in the number of items. The final 9‐item model of Mini‐EAT was validated by 5‐fold cross validation. The 19‐item EAT had a strong correlation with the HEI score (r=0.73) and was subsequently reduced to the 9 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, fish or seafood, legumes/nuts/seeds, low‐fat dairy, high‐fat dairy, and sweets consumption, without affecting the predictive ability of the tool (r=0.71). Conclusions Mini‐EAT is a 9‐item validated brief dietary screener that correlates well with a comprehensive food frequency questionnaire. Future studies to test the Mini‐EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.

Adherence to healthy dietary patterns is associated with a reduced risk of kidney dysfunction. Nevertheless, the age-related mechanisms that underpin the relationship between diet and kidney function remain undetermined. This study aimed to investigate the mediating role of serum α-Klotho, an anti-aging protein, in the link between a healthy diet and kidney function. A cross-sectional study was conducted on a cohort of 12,817 individuals aged between 40 and 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016. For each participant, the Healthy Eating Index 2015 (HEI-2015) score was calculated as a measure of a healthy dietary pattern. Creatinine-based estimated glomerular filtration rate (eGFR) was used to assess kidney function. Multivariable regression models were used to analyze the association between the standardized HEI-2015 score and eGFR after adjusting for potential confounders. Causal mediation analysis was performed to assess whether serum α-Klotho influenced this association. The mean (±SD) eGFR of all individuals was 86.8 ± 19.8 mL/min per 1.73 m2. A high standardized HEI-2015 score was associated with a high eGFR (β [95% CI], 0.94 [0.64–1.23]; p < 0.001). The mediation analysis revealed that serum α-Klotho accounted for 5.6–10.5% of the association of standardized overall HEI-2015 score, total fruits, whole fruits, greens and beans, and whole grain with eGFR in the NHANES. According to the results from the subgroup analysis, serum α-Klotho exerted a mediating effect in the participants aged 60–79 years and in males. A healthy diet may promote kidney function by up-regulating serum anti-aging α-Klotho. This novel pathway suggests important implications for dietary recommendations and kidney health.

Objective: Research examining associations between diet quality and obesity in Iranian adults is limited by small and non‐representative samples. This study examined associations between two diet quality indices and obesity risk in a nationally representative sample of Iranian adults and interactions by sex and area of residence. Methods: Data on 18,307 adults (mean age 37 [SD 15.2] years) were used from the Iranian National Survey 2001–2003. Two diet quality indices (Healthy Eating Index 2015, HEI‐2015, and Diet Quality Index International, DQI‐I) were calculated from household 24‐h dietary recalls. Multi‐level regression analyses were used to examine the association between household diet quality and individual‐level obesity risk, with interaction terms for sex and area of residence. Results: Higher household HEI‐2015 and DQI‐I were associated with higher risk of obesity (HEI‐2015: relative risk ratio: 1.04, 95% CI: 1.03, 1.05; DQI‐I: relative risk ratio: 1.02, 95% CI: 1.01, 1.02), with stronger effect sizes in adults living in rural areas. Conclusions: Higher diet quality (HEI‐2015 and DQI‐I) was associated with higher obesity risk, which was stronger in adults living in rural areas. Due to the complexity of examining these associations in a Middle Eastern country undergoing a nutrition transition, longitudinal research is needed to confirm these findings. [ABSTRACT FROM AUTHOR]

Background: Diseases and disorders related to mental health are spreading like other chronic diseases all around the world. Considering the role of food in the prevention and treatment of these disorders, including major depression, investigating the relationship between different food patterns and this disorder is of particular importance. The aim of this study was to compare Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with healthy individuals., Methods: In this case-control study, the final analysis was performed on 67 men and 111 women with an age range of 20-30 years. Height (cm), weight (kg), food frequency questionnaire (FFQ), physical activity (MET-min/week), demographic and PHQ-9 questionnaires were taken from all participants. In the following, all the food ingredients and their components were extracted and used to calculate HEI-2015 and DHD. Statistical analysis was performed using SPSS software with independent t -test, logistic regression and chi-square., Results: It was found that people with major depression in this study were mostly women and occupied. The average HEI-2015 in healthy people and those with major depression was 58 and 54.3, respectively. Also, the average DHD in these people was 60.5 and 55, respectively. HEI-2015 and DHD had a significant negative correlation with depression score ( r = -0.16, p -value = 0.03) ( r = -0.19, p -value = 0.01). Also, in the logistic regression model, before and even after adjusting confounders, HEI-2015 and DHD had a reduced odds ratio in people suffering from major depression. The two groups did not differ significantly in terms of the average factors of height, weight and body mass index (BMI)., Conclusion: It seems that HEI2015 and DHD have a significant relationship in reducing major depression. However, due to the small number of studies in this regard, especially in the field of DHD, the need for more studies seems necessary., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Tohidi Nafe, Movahedi and Djazayery.)

Objective: To determine which established diet quality indices best predict weight-related outcomes in young women.Design: In this cross-sectional analysis, we collected dietary information using the Harvard FFQ and measured body fat percentage (BF%) by dual-energy X-ray absorptiometry. We used FFQ data to derive five diet quality indices: Recommended Food Score (RFS), Healthy Eating Index 2015 (HEI-2015), Alternate Healthy Eating Index 2010 (AHEI-2010), alternate Mediterranean Diet Score (aMED) and Healthy Plant-Based Diet Index (HPDI).Setting: University of Massachusetts at Amherst.Participants: Two hundred sixty healthy women aged 18-30 years.Results: The AHEI-2010 and HPDI were associated with BMI and BF%, such that a ten-point increase in either diet score was associated with a 1·2 percentage-point lower BF% and a 0·5 kg/m2 lower BMI (P < 0·05). Odds of excess body fat (i.e. BF% > 32 %) were 50 % lower for those in the highest v. lowest tertile of the AHEI-2010 (P = 0·04). Neither the RFS nor HEI-2015 was associated with BMI or BF%; the aMED was associated with BMI but not BF%.Conclusions: These results suggest that diet quality tends to be inversely associated with BMI and BF% in young women, but that this association is not observed for all diet quality indices. Diet indices may have limited utility in populations where the specific healthful foods and food groups emphasised by the index are not widely consumed. Future research should aim to replicate these findings in longitudinal studies that compare body composition changes over time across diet indices in young women. [ABSTRACT FROM AUTHOR]

Background: Dietary guidelines have shifted emphasis from single nutrients to food patterns, food groups, and dietary ingredients. Nutrient profiling models need to do the same.Methods: Dietary intake data for 23,643 persons aged >2 years came from the 2011–2016 National Health and Examination Survey (NHANES 2011-16). Healthy Eating Index HEI-2015 was the diet quality measure. The new Nutrient Rich Food hybrid score (NRFh) was based on three subscores. The subscore based on x nutrients to encourage was defined as NRx. The subscore based on y MyPlate food groups to encourage was MPy. The negative subscore based on z nutrients to limit was LIMz. The final algorithm was NRFh(x.y.z) = NRx + MPy − LIMz. The selection of NRFh model components from among 16 nutrients and five food groups was based on regression analyses.Results: We conducted a total of 2,162,720 iterative regression analyses against HEI-2015 diet quality scores. NRF scores based on 16 nutrients accounted for up to 66% of the variance, whereas scores based on 5 MP food groups accounted for 50%. The new NRFh3:4:3 score with six nutrients and four food groups (fiber, potassium, PUFA+MUFA; whole grains, dairy, fruit, nuts and seeds; saturated fat, added sugar, sodium) explained 72%. The new NRFh4:3:3 score with seven nutrients and three food groups (protein, fiber, potassium, PUFA+MUFA; whole grain, dairy, fruit; saturated fat, added sugar, sodium;) also explained 72%. In both NRFh models, regressions remained significant for each population subgroup examined.Conclusion: The NRFh3:4:3 and NRFh4:3:3 models correlated well with HEI-2015 scores, a measure of diet quality that tracks compliance with Dietary Guidelines. Hybrid NP models based on nutrients and food groups could become part of dietary guidance.

Little is known about duration of exposure to the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in relation to children's diet quality. The objective of the study was to examine the association between duration of WIC participation and diet quality of 24-month-old children. A national longitudinal observational study was conducted with participants initially enrolled in WIC in 2013. Telephone interviews were conducted with study mothers from 2013 to 2016. Duration of WIC participation was categorized as high, medium, or low based on the number of interviews during which participants reported receiving WIC benefits. Participants in the WIC Infant and Toddler Feeding Practices Study 2 who had completed a baseline interview and all interviews through 24 months were included; participants who reported discontinuing WIC due to perceived program ineligibility were excluded from analyses (N=1,250). Data were weighted to represent the study-eligible population. Healthy Eating Index 2015 scores of children at age 24 months were calculated based on 24-hour dietary recalls. Unadjusted analysis of variance examined Healthy Eating Index 2015 scores by WIC participation duration. Multivariate linear regression analysis tested independent effects of WIC duration on Healthy Eating Index 2015 total scores, controlling for sociodemographic factors. After controlling for covariates, WIC participation duration was significantly associated with diet quality. Children in the high duration group had significantly higher Healthy Eating Index 2015 total scores (adjusted mean 59.3, 95% CI 58.6 to 60.1) than children in the low duration group (adjusted mean 55.3, 95% CI 51.6 to 59.0) (P =0.035). Children who received WIC benefits during most of the first 2 years of life had better diet quality at age 24 months than children who, despite remaining eligible for benefits, discontinued WIC benefits during infancy. Findings suggest nutritional benefits for eligible children who stay in the program longer. [ABSTRACT FROM AUTHOR]

Background: To date, Healthy Eating Index 2015 (HEI-2015) scores have not been published in the peer-reviewed literature for nationally representative samples of American children. Objective: The aim of this study was to use the HEI-2015 to describe the diet quality of American children overall and within various sociodemographic populations. Design: We used 3 cycles of NHANES dietary data sets (2009–2010, 2011–2012, and 2013–2014) to calculate HEI-2015 total and component scores by use of the population ratio method for children aged 2–18 y (n = 9000). Diet-quality scores were computed overall and by age (2–5, 6–11, and 12–18 y), gender, race or ethnicity (non-Hispanic black, non-Hispanic white, Mexican American, other Hispanic, and other race), and family poverty-to-income ratio (below or at or above the poverty threshold). HEI-2015 mean total and component scores were computed along with 95% CIs. Results: The HEI-2015 total mean score for children overall was 54.9 (range: 0–100). As the age group increased, the total scores decreased; the total mean score was significantly higher for children in the youngest age group compared with the 2 older age groups (60.1 compared with 53.9 compared with 52.0, respectively). The total mean score was significantly lower for non-Hispanic black children compared with Mexican American children, other Hispanic children, and children of other races (52.6 compared with 57.0, 56.8, and 57.1, respectively). The total mean score was significantly lower for non-Hispanic white children compared with Mexican-American children (54.2 compared with 57.0). No differences in total mean scores were apparent between boys and girls or between poverty threshold classes. The total mean scores for cross-classified sociodemographic characteristics generally followed the same patterns observed for single characteristics, with notable differences occurring within age and race or ethnicity classes. Conclusions: The diet quality of American children remains low overall, with continued disparities across some sociodemographic populations, notably age and race or ethnicity. The results of these analyses can help guide the efforts of child nutrition researchers, practitioners, and other stakeholders. [ABSTRACT FROM AUTHOR]

Flavonoid-rich tea offers an alternative to sugar-sweetened beverages. The present analyses, based on 2 24-hour dietary recalls for 17,506 persons aged ≥9 years old in the 2011−2016 National Health and Nutrition Examination Survey database (NHANES 2011−2016), explored tea consumption patterns in relation to demographics, diet quality, cardiovascular disease (CVD) biomarkers (lipids and blood pressure), and body weight. Beverage categories were unsweetened tea, other tea (herbal and presweetened tea), coffee, milk, 100% juice, water and other high-calorie (HC) and low-calorie (LC) beverages. Tea consumption (18.5% of the sample) was highest among older adults (51−70 years old), non-Hispanic Asians and Whites, and those with college education and higher incomes. The effects of age, gender, education, income, and race/ethnicity were all significant (p < 0.001 for all). Adult tea consumers had diets with more protein, fiber, potassium, iron, and magnesium, and less added sugars and alcohol. Their diets contained fewer HC beverages and coffee but had more total and citrus fruit, more total dark green and orange vegetables, and more seafood, eggs, soy and milk. Tea consumers had higher Healthy Eating Index (HEI-2015) and higher Nutrient-Rich Foods (NRF9.3) nutrient density scores. Few children drank tea and no differences in diet quality between consumers and non-consumers were observed. Adult tea consumers had slightly higher high-density lipoprotein (HDL) cholesterol and lower body mass index (BMI) values. Tea consumption was associated with higher socioeconomic status and better diets.

Ready-to-eat (RTE) cereal is a popular food among children. However, there are no recent data on the associations between RTE cereal consumption and dietary outcomes in the U.S. Therefore, we sought to investigate how RTE cereal was associated with nutrient and food group intakes and overall dietary quality among children aged 0.5 to 17 years using the latest data from the National Health and Nutrition Examination Survey (NHANES 2015−2016). Thirty-six percent of children reported consuming RTE cereal. RTE cereal eaters consumed the same number of calories as non-eaters but had higher intakes of total carbohydrates, total sugar, fiber, calcium, iron, magnesium, potassium, zinc, vitamin A, thiamin, riboflavin, niacin, vitamin B6, folate, vitamin B12, and vitamin D, as well as lower intakes of total fat and saturated fat (p ≤ 0.0007). We also found that children who consumed RTE cereal had 29% higher total dairy intake (p < 0.0001) and 61% higher whole grain intake (p < 0.0001). Lastly, children who ate RTE cereal had higher diet quality than the children that did not eat RTE cereal, as shown by Healthy Eating Index 2015 total score (52.6 versus 47.7, p < 0.0001). Therefore, consumption of whole-grain fortified RTE cereals should be encouraged as part of healthy dietary patterns for children.

Depression and diet quality appear to be associated in the general population. Nevertheless, little is known about their relationship among pregnant females. The aims of this study were first, to investigate longitudinally whether or not diet quality is associated with depressive symptoms during pregnancy; second, to examine whether or not variation in diet quality during pregnancy predicts variation in depressive symptoms; and third, to explore how individual dietary components are associated with depressive symptoms. A longitudinal secondary analysis of the Kuopio Birth Cohort Study in eastern Finland was conducted. Data were collected from pregnant females during the first and third trimesters of pregnancy. The participants were 1,362 pregnant females who entered the study between 2012 and 2017. Depressive symptoms, as measured with the Edinburgh Postnatal Depressive Scale during the first and third trimesters of pregnancy were used as continuous variables. The main analyses consisted of linear mixed model analyses adjusted for potential confounders to longitudinally assess the association between diet quality as measured by the Healthy Eating Index-2015, calculated using data from a food frequency questionnaire completed during the first trimester and third trimester, and depressive symptoms during the study period. An exploratory set of linear mixed models was also used to longitudinally assess the associations between selected individual food frequency questionnaire food groups and depressive symptoms. Descriptive analyses revealed that 12.3% of the participants had clinically relevant levels of depressive symptoms (ie, Edinburgh Postnatal Depressive Scale score ≥10) during either the first or third trimester. Longitudinal modeling suggested that depressive symptoms in pregnant females tend to remain stable throughout pregnancy. Females with a poorer quality diet already displayed higher levels of depressive symptoms during the first trimester of pregnancy (β = –.038 ±.016; P = 0.022). Variation in diet quality did not predict variation in depressive symptoms over the course of pregnancy (β = –9.741 × 10–5 ±.001; P = 0.869). Females entering pregnancy with a poorer quality diet also displayed higher levels of depressive symptoms compared with females with a higher quality diet at the beginning of pregnancy, and this association remained constant throughout pregnancy. Further research is needed to assess the direction and the potential causality of the observed associations between diet quality and depressive symptoms. [ABSTRACT FROM AUTHOR]

Background There is a scarcity of validated rapid dietary screening tools for patient use in the clinical setting to improve health and reduce cardiovascular risk. The Healthy Eating Index (HEI) 2015 measures compliance with the 2015 to 2020 Dietary Guidelines for Americans but requires completion of an extensive diet assessment to compute, which is time consuming and impractical. The authors hypothesize that a 19-item dietary survey assessing consumption of common food groups known to affect health will be correlated with the HEI-2015 assessed by a validated food frequency questionnaire and can be further reduced without affecting validity. Methods and Results A 19-item Eating Assessment Tool (EAT) of common food groups was created through literature review and expert consensus. A cross-sectional survey was then conducted in adult participants from a preventive cardiology clinic or cardiac rehabilitation and in healthy volunteers (n=661, mean age, 36 years; 76% women). Participants completed an online 156-item food frequency questionnaire, which was used to calculate the HEI score using standard methods. The association between each EAT question and HEI group was analyzed by Kruskal-Wallis test. Linear regression models were subsequently used to identify univariable and multivariable predictors for HEI score for further reduction in the number of items. The final 9-item model of Mini-EAT was validated by 5-fold cross validation. The 19-item EAT had a strong correlation with the HEI score ( r =0.73) and was subsequently reduced to the 9 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, fish or seafood, legumes/nuts/seeds, low-fat dairy, high-fat dairy, and sweets consumption, without affecting the predictive ability of the tool ( r =0.71). Conclusions Mini-EAT is a 9-item validated brief dietary screener that correlates well with a comprehensive food frequency questionnaire. Future studies to test the Mini-EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.

Background: During adolescence, diet quality reaches its lowest point compared to other childhood life stages. Acculturation is associated with decreased diet quality among many groups of US immigrant adults, but research is limited among adolescents., Objectives: We investigated the associations between birthplace and length of time living in the United States, 2 proxy measures of acculturation, and diet quality among adolescents (12-19 years old)., Methods: Data were from the NHANES (2007-2018), which included two 24-hour dietary recalls (n = 6113) to estimate Healthy Eating Index 2015 (HEI-2015) total scores and component scores. Multivariate linear regression and generalized linear models were performed to compare HEI-2015 total scores and component scores between US-born adolescents (n = 5342) and foreign-born adolescents with <5 years (n = 244), 5 to <10 years (n = 201), and ≥10 years (n = 290) of US residency., Results: Foreign-born adolescents with <5 years (53.3 ± 1.2), 5 to <10 years (51.4 ± 1.5), and ≥10 years of US residency (49.9 ± 0.8) had higher HEI-2015 total scores than US-born adolescents (47.0 ± 0.3; P < 0.0001) and higher component scores for total vegetables, seafood and plant proteins, and added sugars (P values ≤ 0.0001). Foreign-born adolescents with more years of US residency had higher component scores for total fruits, whole fruits, and saturated fats than those with fewer years of US residency. A sensitivity analysis revealed this pattern held for Mexican-American and other Hispanic adolescents., Conclusions: Being born outside the United States and living in the United States for less time (among foreign-born adolescents) are associated with higher diet quality. Culturally informed health promotion programs may help to reduce diet-related disparities related to acculturation among adolescents., (Copyright © 2022 American Society for Nutrition.)

Background: Hybrid nutrient density scores are based on both nutrients and selected food groups. Objective: To compare the new hybrid nutrient-rich food NRFh 4:3:3 score to other nutrient-rich food (NRF) scores, energy density, and energy cost and to model the impact on the Healthy Eating Index (HEI-2015) of partially replacing less nutrient-rich with more nutrient-rich foods. Methods: Analyses were based on 5870 foods and beverages in the Food and Nutrient Database for Dietary Studies and on 24 h dietary recalls from the National Health and Nutrition Examination Survey (NHANES 2013–16). The NRFh 4:3:3 model was based on four nutrients to encourage (protein fiber, potassium, MUFA + PUFA); three food groups to encourage (dairy, fruit, whole grains); and three nutrients to limit (saturated fat, added sugar, sodium). Ratings generated by NRFh 4:3:3 and by other NRF models were correlated with score components, energy density (kcal/100 g), and energy cost (USD/100 kcal). The impact on HEI-2015 of replacing foods in the lowest nutrient density tertile (T1) with top tertile (T3) foods at 10%, 20%, 30%, and 100% equicaloric replacement was modeled using NHANES 2013–16 dietary data by population subgroups. Results: The NRFh 4:3:3 model awarded higher scores to foods containing dairy, fruit, and whole grains and proportionately lower scores to vegetables when compared to the NRF 9.3 model. Higher NRF and NRFh nutrient density scores were linked to lower energy density and higher energy cost; however, both correlations were lower for the NRFh 4:3:3. Isocaloric replacement of bottom tertile with top tertile foods as rated by both models led to significantly higher HEI-2105 values, based on complete (100%) and on partial (10–30%) replacement. Conclusion: The new NRFh 4:3:3 model provides the basis for developing new metrics of affordable nutrient density. The model identified "best value" food categories that were both affordable and nutrient-rich. Total and partial replacement of low nutrient density with high nutrient density foods was associated with higher HEI-2015 scores, suggesting that even partial inclusion of more nutrient dense foods in the diet may have an important impact on total diet quality. [ABSTRACT FROM AUTHOR]

Objective: Research examining associations between diet quality and obesity in Iranian adults is limited by small and non-representative samples. This study examined associations between two diet quality indices and obesity risk in a nationally representative sample of Iranian adults and interactions by sex and area of residence., Methods: Data on 18,307 adults (mean age 37 [SD 15.2] years) were used from the Iranian National Survey 2001-2003. Two diet quality indices (Healthy Eating Index 2015, HEI-2015, and Diet Quality Index International, DQI-I) were calculated from household 24-h dietary recalls. Multi-level regression analyses were used to examine the association between household diet quality and individual-level obesity risk, with interaction terms for sex and area of residence., Results: Higher household HEI-2015 and DQI-I were associated with higher risk of obesity (HEI-2015: relative risk ratio: 1.04, 95% CI: 1.03, 1.05; DQI-I: relative risk ratio: 1.02, 95% CI: 1.01, 1.02), with stronger effect sizes in adults living in rural areas., Conclusions: Higher diet quality (HEI-2015 and DQI-I) was associated with higher obesity risk, which was stronger in adults living in rural areas. Due to the complexity of examining these associations in a Middle Eastern country undergoing a nutrition transition, longitudinal research is needed to confirm these findings., Competing Interests: Dr. Livingstone reports personal fees from HeadUp Labs Ltd, outside the submitted work. All other authors have nothing to disclose., (© 2021 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

Coffee, obtained from various sources, is consumed by most United States adults. The present analyses of one and two 24-h dietary recalls for 14,865 persons aged ≥20 years in the 2011–2016 National Health and Nutrition Examination Survey (NHANES 2011–2016) aimed to identify socio-demographic predictors of coffee consumption and to examine whether coffee purchase locations differed by population sub-group. Given the emphasis on food and beverage consumption patterns, the relation between coffee consumption and compliance with the Dietary Guidelines of Americans was also examined. Coffee was consumed by 59% of the sample (n = 8551). Survey-adjusted mean intake among consumers was 544.7 g/day. Percent consumers and mean amounts consumed were highest among adults aged 51–70 years (p < 0.001), higher income groups (p < 0.001), and non-Hispanic Whites (p < 0.001). About 74% of coffee consumers obtained their coffee from stores, 9.8% from fast food restaurants, 4.3% from convenience stores, and 4.2% from someone else. Coffee source locations also varied by age, education, income, and race/ethnicity. Coffee consumers had significantly higher Healthy Eating Index (HEI-2015) and higher Nutrient-Rich Foods (NRF9.3) scores in energy-adjusted models and significantly higher HEI 2015 scores in multivariable models. In multivariable models, coffee consumers had diets with less added sugar (p < 0.001) but slightly more fat (of all types, including monounsaturated (MUFA), polyunsaturated (PUFA), saturated and solid fats), cholesterol, and alcohol. Their diets had more potassium and magnesium (p < 0.001) but less vitamin C (p < 0.001). Mean caffeine consumption was 233 mg/day for consumers and 72.3 mg/day for non-consumers. Coffee consumption patterns in the US vary across socio-demographic groups. [ABSTRACT FROM AUTHOR]

Flavonoid-rich tea offers an alternative to sugar-sweetened beverages. The present analyses, based on 2 24-hour dietary recalls for 17,506 persons aged ≥9 years old in the 2011–2016 National Health and Nutrition Examination Survey database (NHANES 2011–2016), explored tea consumption patterns in relation to demographics, diet quality, cardiovascular disease (CVD) biomarkers (lipids and blood pressure), and body weight. Beverage categories were unsweetened tea, other tea (herbal and presweetened tea), coffee, milk, 100% juice, water and other high-calorie (HC) and low-calorie (LC) beverages. Tea consumption (18.5% of the sample) was highest among older adults (51–70 years old), non-Hispanic Asians and Whites, and those with college education and higher incomes. The effects of age, gender, education, income, and race/ethnicity were all significant (p < 0.001 for all). Adult tea consumers had diets with more protein, fiber, potassium, iron, and magnesium, and less added sugars and alcohol. Their diets contained fewer HC beverages and coffee but had more total and citrus fruit, more total dark green and orange vegetables, and more seafood, eggs, soy and milk. Tea consumers had higher Healthy Eating Index (HEI-2015) and higher Nutrient-Rich Foods (NRF9.3) nutrient density scores. Few children drank tea and no differences in diet quality between consumers and non-consumers were observed. Adult tea consumers had slightly higher high-density lipoprotein (HDL) cholesterol and lower body mass index (BMI) values. Tea consumption was associated with higher socioeconomic status and better diets. [ABSTRACT FROM AUTHOR]

Background: Dietary guidelines have shifted emphasis from single nutrients to food patterns, food groups, and dietary ingredients. Nutrient profiling models need to do the same. Methods: Dietary intake data for 23,643 persons aged >2 years came from the 2011-2016 National Health and Examination Survey (NHANES 2011-16). Healthy Eating Index HEI-2015 was the diet quality measure. The new Nutrient Rich Food hybrid score (NRFh) was based on three subscores. The subscore based on x nutrients to encourage was defined as NRx. The subscore based on y MyPlate food groups to encourage was MPy. The negative subscore based on z nutrients to limit was LIMz. The final algorithm was NRFh(x.y.z) = NRx + MPy - LIMz. The selection of NRFh model components from among 16 nutrients and five food groups was based on regression analyses. Results: We conducted a total of 2,162,720 iterative regression analyses against HEI-2015 diet quality scores. NRF scores based on 16 nutrients accounted for up to 66% of the variance, whereas scores based on 5 MP food groups accounted for 50%. The new NRFh3:4:3 score with six nutrients and four food groups (fiber, potassium, PUFA+MUFA; whole grains, dairy, fruit, nuts and seeds; saturated fat, added sugar, sodium) explained 72%. The new NRFh4:3:3 score with seven nutrients and three food groups (protein, fiber, potassium, PUFA+MUFA; whole grain, dairy, fruit; saturated fat, added sugar, sodium;) also explained 72%. In both NRFh models, regressions remained significant for each population subgroup examined. Conclusion: The NRFh3:4:3 and NRFh4:3:3 models correlated well with HEI-2015 scores, a measure of diet quality that tracks compliance with Dietary Guidelines. Hybrid NP models based on nutrients and food groups could become part of dietary guidance., (Copyright © 2020 Drewnowski and Fulgoni.)

Ready-to-eat (RTE) cereal is a popular food among children. However, there are no recent data on the associations between RTE cereal consumption and dietary outcomes in the U.S. Therefore, we sought to investigate how RTE cereal was associated with nutrient and food group intakes and overall dietary quality among children aged 0.5 to 17 years using the latest data from the National Health and Nutrition Examination Survey (NHANES 2015–2016). Thirty-six percent of children reported consuming RTE cereal. RTE cereal eaters consumed the same number of calories as non-eaters but had higher intakes of total carbohydrates, total sugar, fiber, calcium, iron, magnesium, potassium, zinc, vitamin A, thiamin, riboflavin, niacin, vitamin B6, folate, vitamin B12, and vitamin D, as well as lower intakes of total fat and saturated fat (p ≤ 0.0007). We also found that children who consumed RTE cereal had 29% higher total dairy intake (p < 0.0001) and 61% higher whole grain intake (p < 0.0001). Lastly, children who ate RTE cereal had higher diet quality than the children that did not eat RTE cereal, as shown by Healthy Eating Index 2015 total score (52.6 versus 47.7, p < 0.0001). Therefore, consumption of whole-grain fortified RTE cereals should be encouraged as part of healthy dietary patterns for children. [ABSTRACT FROM AUTHOR]