The association between diet quality indices and oxidative stress biomarkers in male footballers and healthy active controls.

OBJECTIVE: The aim of the present study was the association between the relationship between Dietary Quality Index-International (DQI-I) and Healthy Eating Index (HEI) and the urinary levels of F2alpha-isoprostane (F2a-IP) and 8-hydroxy-2'-deoxyguanosine (8-OHdG) was investigated as indicators of oxidative stress. RESULTS: Based on HEI (low, moderate, and good), the diet quality of both groups was classified as moderate. In all participants, HEI (ß=-0.29; P = 0.04) and DQI-I (ß=-0.46; P = 0.005) were inversely associated with 8-OHdG. Furthermore, a negative correlation was found between HEI (mean ß=-3.53; P = 0.04) and DQI-I (mean ß=-5.53; P = 0.004) with F2a-IP. The quality of the footballers' diet was higher than that of the control group. Following a high-quality diet, which is rich in antioxidants, is likely to effectively reduce oxidative stress.

Longitudinal Three-Year Associations of Dietary Fruit and Vegetable Intake with Serum hs-C-Reactive Protein in Adults with and without Type 1 Diabetes.

High-sensitivity C-reactive protein (hs-CRP) is a widely used clinical biomarker of systemic inflammation, implicated in many chronic conditions, including type 1 diabetes (T1D). Despite the increasing emphasis on dietary intake as a modifiable risk factor for systemic inflammation, the association of hs-CRP with fruit and vegetable consumption is relatively underexplored in T1D. To address this gap, we investigated the longitudinal associations of dietary pattern-derived fruit and vegetable scores with hs-CRP in adults with and without T1D. Additionally, we examined the impact of berry consumption as a distinct food group. Data were collected in the Coronary Artery Calcification in Type 1 Diabetes study over two visits that were three years apart. At each visit, participants completed a food frequency questionnaire, and hs-CRP was measured using a particle-enhanced immunonephelometric assay. Mixed effect models were used to examine the three-year association of fruit and vegetable scores with hs-CRP. Adjusted models found a significant inverse association between blueberry intake and hs-CRP in the nondiabetic (non-DM) group. Dietary Approaches to Stop Hypertension- and Alternative Healthy Eating Index-derived vegetable scores were also inversely associated with hs-CRP in the non-DM group (all p-values ≤ 0.05). Conversely, no significant associations were observed in the T1D group. In conclusion, dietary pattern-derived vegetable scores are inversely associated with hs-CRP in non-DM adults. Nonetheless, in T1D, chronic hyperglycemia and related metabolic abnormalities may override the cardioprotective features of these food groups at habitually consumed servings.

The Associations between Healthy Eating Patterns and Risk of Metabolic Dysfunction-Associated Steatotic Liver Disease: A Case-Control Study.

BACKGROUND: Although several epidemiological studies have identified an inverse association between healthy dietary patterns and metabolic dysfunction-associated steatotic liver disease (MASLD)/non-alcoholic fatty liver disease (NAFLD), little is known about the contribution of the food component to MASLD risk and the association between dietary patterns and severity of MASLD. This study aimed to investigate the association between healthy eating patterns and MASLD risk and severity of MASLD. METHODS: A case-control study including 228 patients diagnosed with MASLD and 228 controls was conducted. The modified Alternate Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH) score, and Alternative Mediterranean Diet (AMED) score were evaluated based on information collected via a validated food-frequency questionnaire. MASLD was confirmed if participants presented with ultrasound-diagnosed fatty liver diseases along with at least one of five cardiometabolic risk factors and no other discernible cause. The logistic regression models were applied to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of MASLD for dietary scores. RESULTS: Compared with participants in the lowest tertile, those in the highest tertile of AHEI had a 60% reduced risk of MASLD (OR: 0.40; 95% CI: 0.25-0.66). Similar associations were also observed for DASH and AMED, with ORs comparing extreme tertiles of 0.38 (95% CI: 0.22-0.66) and 0.46 (95% CI: 0.28-0.73), respectively. Further Stratified analysis revealed that the inverse associations between AHEI and DASH with MASLD risks were stronger among women than men, and the inverse associations between AMED and MASLD risks were more pronounced among participants with normal weight (OR: 0.22; 95% CI: 0.09-0.49). For components within the dietary score, every one-point increase in vegetable score and whole grain score within the AHEI was associated with an 11% (95% CI: 5-16%) and a 6% (95% CI: 0-12%) lower MASLD risk, respectively. Similar inverse associations with those scores were observed for the DASH and AMED. CONCLUSION: Greater adherence to healthy eating patterns was associated with reduced risk of MASLD, with vegetables and whole grains predominately contributing to these associations. These findings suggested that healthy eating patterns should be recommended for the prevention of MASLD.

The Impact of Sustainability Courses: Are They Effective in Improving Diet Quality and Anthropometric Indices?

There are studies on the effect of general nutrition education on diet quality and anthropometric measurements, while studies showing the effectiveness of sustainable nutrition education, which also addresses the effect of food on the environment, are quite limited. This study aimed to investigate the effects of sustainable nutrition education on diet quality, anthropometric measurements, and the carbon footprint (CFP) and water footprint (WFP) of diet. A total of 160 university students received 1 h of sustainable nutrition education for 6 weeks. Before, at the end of, and 2 months after the courses, 24 h food consumption records were taken to assess diet quality and CFP and WFP values of diet, and Mediterranean diet (MedDiet) and Healthy Eating Index (HEI)-2020 scores were evaluated. The results of the study showed that sustainable nutrition education increased MedDiet score by 1.86 points and HEI-2020 score by 7.38 points. This education program also decreased body weight, body mass index (BMI), fat mass, and neck circumference. Sustainability education has a positive impact on calcium, potassium, and magnesium intakes, a negative impact on vitamin B12 and zinc intakes, and no effect on total protein intake. Education resulted in a 22% reduction in CFP and a 10% reduction in WFP.

The Association between Healthy Eating Index-2015 and Serum Metabolic Parameters in Women with Gallstone Disease: A Case-Control Study.

Background: One of the most prevalent gastrointestinal tract ailments is gallstone disease (GD). Diet has been acknowledged as a modifiable GD risk factor. The Healthy Eating Index (HEI) is a scale for evaluating the quality of diets; therefore, this study aimed to determine whether the HEI-2015 score was associated with serum metabolic parameters in women with GD. Methods: This case-control study was conducted on a sample of 75 women diagnosed with GD and 75 healthy women at the Gastroenterology and Hepatology Clinic of Shahid Beheshti University of Medical Science in Tehran, Iran. Standard laboratory methods were employed to measure the biochemical parameters. The participants' habitual dietary intake was assessed using a validated food frequency questionnaire (FFQ). The HEI-2015 score was computed for all participants. The study employed multivariate logistic regression to identify the optimal predictor of GD. The Pearson Correlation was employed to determine the correlation between the HEI-2015 and serum metabolic parameters. Results: The study found a significant negative association between the risk of GD and serum HDL-c (OR: 0.84; 95% CI: 0.76-0.95, P=0.008). Moreover, a significant positive association was detected between HOMAIR (OR: 3.27; 95% CI: 1.16-9.19, P=0.025), and the risk of GD. The study did not find a statistically significant correlation between the HEI-2015 and serum parameters. Conclusion: While an association was discovered between certain serum metabolic parameters and the risk of GD, the results do not provide a significant association between serum metabolic parameters and HEI-2015 score.

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 (ß = -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.

Dietary Quality and Diet-Related Factors Among United States Emerging Adults (18-23 y) 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 United States emerging adults (18-23 y) 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 United States emerging adults (HEI-2015: 50.3 ± 1.3) was significantly lower than other United States adults (≥24 y) (HEI-2015: 56.3 ± 0.5; P < 0.0001), 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 United States emerging adults 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.

Association between Dietary Quality and Non-Alcoholic Fatty Liver Disease in Korean Adults: A Nationwide, Population-Based Study Using the Korean Healthy Eating Index (2013-2021).

This study explored the relationship between the Korean Healthy Eating Index (KHEI) and non-alcoholic fatty liver disease (NAFLD). This cross-sectional study included 34,174 Korean adults. The KHEI was composed of three subcomponents (adequacy, moderation, and energy balance) and calculated based on a 24 h dietary recall. The total score ranged from 0 to 100, with a higher score indicating a greater adherence to the Korean dietary guidelines. The total KHEI scores were categorized into quartiles (Q1-Q4). NAFLD was classified using the hepatic steatosis index. Logistic regressions were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). The adjusted OR (95% CI) of NAFLD was 0.95 (0.87-1.03) for the Q2 group, 0.90 (0.83-0.98) for the Q3 group, and 0.79 (0.72-0.87) for the Q4 group, compared with the Q1 group. Among the subcomponents of the KHEI, individuals with high scores in the adequacy component, characterized by an abundant consumption of fruits, vegetables, and dairy products, exhibited the most pronounced association with NAFLD. A higher KHEI score was negatively associated with NAFLD in Korean adults. Therefore, the promotion of healthy dietary patterns can play a beneficial role in the prevention or management of NAFLD.

Evaluating the influence of ultra-processed food intake on associations between dietary indices with systemic inflammation in adulthood and old ages.

BACKGROUND & AIMS: Low-grade systemic inflammation (LGSI) is critical to developing many chronic diseases. In turn, it has been shown that the diet can modulate favorably or unfavorably the inflammatory status. Thus, evaluating the diet from appropriate approaches is fundamental; to do so, there are different proposals for dietary indexes. We aimed to: (i) investigate the association between three well-known dietary indexes and LGSI biomarkers; (ii) test these associations individually or in combination with an indicator of ultra-processed foods (UFPs) intake. (iii) as an additional aim, hypothesizing that all the indexes should be capable of identifying the inflammatory potential of diet, we tested the hypothesis that these indexes agree and correlate with each other. METHODS: Cross-sectional population-based data of adults and older persons (n = 583). Dietary data were obtained through two non-consecutive 24-h dietary recalls (24HDR) and calculated for Dietary Inflammatory Index (DII), Mediterranean-Style Dietary Pattern Score (MSDPS); Brazilian Healthy Eating Index - Revised (BHEI-R) and energy ingested from UPFs (UPFs ratio). An LGSI score was created from some plasma inflammatory biomarkers [C-Reactive Protein (CRP), tumor necrosis factor-alpha (TNF-α), and adiponectin]. Logistic and linear regression models tested the associations between dietary indexes and LGSI score. RESULTS: The MSDPS and DII were significantly associated with our inflammatory score, but the BHEI-R did not. Including UPFs in regression models did not increase the strength of these associations. CONCLUSIONS: From the three scores, the dietary inflammatory index and the Mediterranean-style dietary pattern score (MSDPS) were the ones that showed significant association with the inflammatory biomarker. The combination of the indexes with a ratio of UPF intake did not increase the significance of our analyses. The best agreement between the indexes was found between MSDPS and UPFs ratio; the only pair of indexes considered concordant and correlated was the BHEI-R and DII.

Role of Healthy Lifestyle and Diet Quality in the Development of Colorectal Cancer in the Adult Population in the Kurdistan Region: A Case-Control Study.

Background The incidence of colorectal cancer (CRC) is increasing in developing countries. The factors contributing to the risk of CRC are not known in developing countries. Therefore, this study aimed to explore the role of a healthy lifestyle on CRC in the adult population in the Kurdistan Region of Iraq. Methodology In this case-control investigation, patients previously diagnosed with CRC were included as cases (n = 84) and the healthy adult population as healthy controls (n = 87). The patients were selected from the Gastroenterology Unit of Azadi Teaching Hospital and Emergency Teaching Hospital. The healthy controls were selected from the caregivers of patients who met the eligibility criteria. Results Individuals with a history of chronic disease (63.08% vs. 40.52%; p = 0.0043), a history of hypertension (71.74% vs. 40.80%; p = 0.0003), and a history of inflammatory bowel disease (IBD) (59.42% vs. 42.16%; p = 0.0267) had a significantly higher prevalence of CRC compared to healthy controls. CRC patients had significantly lower diet quality scores than healthy controls (36.27 vs. 37.83; p = 0.0002). The study showed that CRC patients had a significantly lower lifestyle index score compared to healthy controls (10.20 vs. 11.69; p = 0.0002). In addition, CRC patients had lower scores for diet (0.42 vs. 1.00; p < 0.0001), smoking (2.92 vs. 4.0; p < 0.0001), and physical activity (1.02 vs. 1.70; p < 0.0001) compared to healthy controls. However, CRC patients and healthy controls had similar alcohol index scores (5.0 vs. 530; p = 1.000) and body mass index (1.04 vs. 1.01; p = 0.8982). Conclusions This study showed that CRC was associated with having a history of bad diet quality and unhealthy lifestyles. In addition, a history of chronic diseases, hypertension, and IBD was associated with the risk of CRC.

Association between modified youth healthy eating index and nutritional status among Iranian children in Zabol city: a cross-sectional study.

Diet quality in childhood and adolescence can affect health outcomes such as physical and cognitive growth and preventing chronic diseases in adulthood. This study aimed to evaluate the relationship between diet quality using the modified youth healthy eating index (MYHEI) with socioeconomic factors and nutrition status in 7-12-year-old children in Iran. This descriptive-cross-sectional study was performed on 580 students in Zabol, Iran, selected through multistage cluster sampling. The diet was assessed through the 168-item food frequency questionnaire (FFQ) and eating behaviors. Then, the MYHEI scoring system was used to calculate the diet quality. In addition, we used the WHO growth indices, such as weight to age, height to age, and body mass index (BMI) to age ratios, to evaluate nutrition status. The mean total MYHEI score in children was 56.3 ± 11.2. Among children with the highest MYHEI score quartile, the number of girls was significantly higher than boys (p = 0.001). The prevalence of underweight, stunting, and wasting was 25.3%, 17.4%, and 21.7%, respectively. The prevalence of underweight (OR: 2.2; 95% CI 1.26, 3.90, p = 0.001) and stunting (OR: 3.2; 95% CI 1.65, 6.14, p = 0.006) were significantly lower in the higher MYHEI score quartile compared to the lower quartile. The overall diet quality of most children should be modified. Therefore, to improve the children's health and nutrition status, it is necessary to perform nutritional interventions such as training and promotional programs, especially in schools.

Association between diet quality and malnutrition: pooled results from two population-based studies in older adults.

BACKGROUND: The role of diet quality on malnutrition in older adults is uncertain, due the paucity of the research conducted and the use of use of screening tools that did not consider phenotypic criteria of malnutrition. OBJECTIVE: To evaluate the association of two indices of diet quality, namely the Mediterranean Diet Adherence Screener (MEDAS) and the Alternative Healthy Eating Index (AHEI-2010), with malnutrition among community-dwelling older adults in Spain. METHODS: Cross-sectional analysis of data from 1921 adults aged ≥ 60 years from the Seniors-ENRICA-1 (SE-1) study, and 2652 adults aged ≥ 65 years from the Seniors-ENRICA-2 (SE-2) study. Habitual food consumption was assessed through a validated diet history. Malnutrition was defined according to the Global Leadership Initiative on Malnutrition (GLIM) phenotypic criteria. Statistical analyses were performed with logistic regression with adjustment for socioeconomic and lifestyle variables as well as for total energy and protein intake. RESULTS: The prevalence of malnutrition in the SE-1 study was 9.5% (95% confidence interval: 8.2 to 10.9) and 11.7% (10.5 to 13.9) in the SE-2. Adherence to the MEDAS score was associated with lower prevalence of malnutrition [pooled odds ratio for high (≥ 9 points) vs. low adherence (< 7 points): 0.64 (0.48-0.84); p-trend < 0.001]. Higher adherence to the AHEI-2010 also showed an inverse association with malnutrition (pooled odds ratio for quartile 4 vs. 1: 0.65 (0.49-0.86); p-trend 0.006). Among the individual components, higher consumption of fish and long-chain n-3 fatty acids in MEDAS and AHEI-2010, and of vegetables and nuts and legumes in AHEI-2010, and lower intake of trans-fat and sugar-sweetened beverages and fruit juice in AHEI-2010 were independently associated with lower odds of malnutrition. CONCLUSION: Adherence to high diet-quality patterns was associated with lower frequency of malnutrition among older adults. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov identifier: NCT02804672. June 17, 2016.; ClinicalTrials.gov NCT03541135. May 30, 2018.

Restaurant outlet density and the healthfulness of food purchases: evidence from FoodAPS.

Introduction: The average American household's diet and food purchasing patterns are out of sync with federal recommendations. Researchers have connected this with the large and growing rates of obesity, diabetes, and other diet-related ailments in the U.S. Restaurant food has been discussed a potential contributor to unhealthful diets, as it is often calorically dense. We investigate the association between household access to restaurants and diet quality using USDA FoodAPS data and NPD ReCount data. Methods: We define radii around households to measure restaurant outlet counts and apply a regression analysis incorporating household characteristics. Results: We find that neither restaurant counts nor openings share many statistically or economically significant associations with average dietary quality. Household characteristics and demographics are far more powerful in explaining variation in diet quality. Discussion: Our findings align with the large and growing body of empirical research that suggests that personal preferences and other household characteristics are more important than the food environment in explaining food choices and diet quality. Given the extant research on the importance of access to large supermarkets, our results suggest that access to food retailers is more important in explaining diet quality than access to restaurants.

Diet quality as assessed by the healthy eating index-2020 among different smoking status: an analysis of national health and nutrition examination survey (NHANES) data from 2005 to 2018.

BACKGROUND: Combining smoking with poor eating habits significantly elevates the risk of chronic illnesses and early death. Understanding of how dietary quality shifts post-smoking cessation remains limited. The objective of this study is to examine dietary quality - using Healthy Eating Index (HEI - 2020) and its 13 components, among current, former, and never smokers, and particularly the impact of quitting and the duration of cessation on dietary habits. METHODS: A cross-sectional analysis of 31,569 adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was conducted. Dietary quality was assessed using HEI-2020 scores, which were determined by NIH developed - simple HEI scoring algorithm per person. Smoking status was categorized into current, former, and never smokers, with further subdivisions for current (heavy/light smokers) and former smokers (duration post-cessation). Descriptive analysis and multiple regression models weighted to represent the US population were performed. RESULTS: The current smoking rate was 19.4%, with a higher prevalence in males (22.5%) than females (17.5%). Current smokers reported statistically significantly lower HEI total score than both former and never smokers. Former smokers exhibited HEI scores similar to those of never smokers. The adjusted HEI total scores for current, former, and never smokers were 49.2, 54.0, and 53.3, respectively, with a statistically significant difference (p < 0.001). Moreover, light smokers had better total HEI score than heavy smokers (46.8 vs. 50.8, p < 0.001, respectively), but former and never smokers scored even higher. Quitting smoking immediately improved dietary quality, with former smokers reaching the dietary levels of never smokers within 5-10 years (53.8 vs. 53.3, p > 0.05, respectively). Compared to current smokers, former smokers tended to consume more beneficial foods (e.g., fruits, vegetables, greens and beans, whole grains, proteins, and fatty acids), while also consuming more sodium and less added sugar. CONCLUSIONS: Current smokers, particularly heavy smokers, exhibit poorer dietary habits than former and never smokers. The dietary quality of former smokers aligns with never smokers over time, highlighting the positive impact of smoking cessation on diet. This has implications for reducing chronic disease risks associated with poor diet and smoking.

The association between healthy eating index-2015 with anthropometric, cardiometabolic and hepatic indices among patients with non-alcoholic fatty liver disease.

BACKGROUND: Obesity, cardiovascular diseases, and metabolic disorders are common problems among participants with non-alcoholic fatty liver disease (NAFLD). However, the association between these problems and the healthy eating index-2015 (HEI-2015) remains unknown. Although the HEI-2015 originated from American dietary guidelines, its comprehensive evaluation of diet quality provides valuable insights for various populations, including Iranians. Therefore, the objective of this study was to investigate the association between anthropometric, hepatic, and cardio-metabolic indices with HEI-2015 scores in participants with NAFLD. METHODS: We conducted a cross-sectional analysis of data from the Hoveyzeh Cohort Study, which included adults aged 35 to 70 years between 2016 and 2018. A total of 664 participant with NAFLD (452 females and 212 males) were included in the analysis. The HEI-2015 was assessed using the Food Frequency Questionnaire (FFQ). Various indices, including the body shape index (ABSI), atherogenic index of plasma (AIP), visceral adiposity index (VAI), lipid accumulation product (LAP), cardiometabolic index (CMI), lipoprotein combine index (LCI), AST/ALT ratio, ALD/NAFLD index, and hepatic steatosis index (HSI), were calculated. RESULTS: No significant differences were observed in anthropometric, cardio-metabolic, and hepatic indices across the quartiles of HEI-2015. However, among participants with NAFLD, men had significantly higher AIP and LCI levels, while women had significantly higher BMI, ABSI, VAI, LAP, and CMI levels. Additionally, women with NAFLD exhibited higher AST/ALT and HSI levels but lower ALD/NAFLD levels compared to men with NAFLD. Linear regression analysis among men with NAFLD revealed a significant negative correlation between HEI-2015 score and HSI in both the unadjusted model (ß=-0.131, SE = 0.058, p = 0.024) and the adjusted model for energy intake (ß=-0.129, SE = 0.058, p = 0.028). CONCLUSION: The present study demonstrated a correlation between lower HEI-2015 scores and an increased risk of steatosis in men with NAFLD. Moreover, our findings highlighted gender-related differences in NAFLD and cardio-metabolic disorders.

Comparison of Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with health subjects: a case-control study.

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.

Longitudinal associations of the alternative healthy eating index with coronary artery calcification and pericardial adiposity in US adults with and without type 1 diabetes.

BACKGROUND AND AIM: Long-term associations between the alternative healthy eating index (AHEI) score and two predictive indicators for CVD, pericardial adipose tissue (PAT) and coronary artery calcification (CAC) volume, are lacking. Our study aims to investigate the longitudinal associations of the AHEI score with measures of CAC and PAT in adults with and without type 1 diabetes (T1D). METHODS AND RESULTS: The prospective Coronary Artery Calcification in T1D (CACTI) study included 652 people with T1D and 764 people without diabetes (non-DM) (19-56 years old) and was conducted in 2000-2002, 2003-2004, and 2006-2007. At each visit, food frequency questionnaires were collected and PAT and CAC were measured using electron beam computed tomography. Two variables were used for CAC analyses: a continuous variable for the square-root tranformed volume (SRV) for each visit and a second variable identified CAC progression from baseline to visit 3. Mixed effect models and a logistic regression model were used to conduct statistical analyses. A one-point increase in the AHEI score was significantly associated with a -0.12 cm3 (95% CI: -0.17, -0.08; p-value<0.0001) decrease in PAT volume in combined analyses, a -0.16 cm3 (95% CI: -0.22, -0.09; p-value<0.0001) decrease in the non-DM group, a marginally significant -0.07 cm3 (95% CI: -0.14, 0.002; p-value = 0.0571) decrease in the T1D group, and was not associated with either CAC outcome. CONCLUSION: The AHEI score is inversely associated with PAT; the association revealed greater magnitude of PAT reduction in the non-DM group. The AHEI score did not associate with CAC progression.

Workplace food purchases, dietary intake, and gut microbial metabolites in a secondary analysis of the ChooseWell 365 study.

BACKGROUND: Dietary choices can affect human health through alterations in gut microbial metabolism, and gut microbial metabolites could serve as biomarkers for disease risk conferred by dietary intake. However, self-reported dietary intake may not reflect true intake. OBJECTIVES: We identified circulating metabolites, including gut microbiome-related metabolites, associated with adherence to a healthy diet in the ChooseWell 365 study. In this randomized clinical trial, the dietary choices of hospital employees were assessed over 24 mo using not only 24-h dietary recalls but also electronic records of hospital cafeteria purchases. METHODS: Plasma metabolites were profiled from 470 participants. Two targeted metabolomics methods were developed and implemented to expand detection coverage for metabolites related to gut microbial activity. Linear regression models were used to associate metabolites with Healthy Purchasing Scores (HPSs) derived from cafeteria purchases and Healthy Eating Index-2015 (HEI-15) scores derived from dietary recalls. RESULTS: Fourteen metabolites were concordantly associated with the HPS and HEI-15 scores in multivariable models adjusted for age, gender, and race, including the gut microbiome-related metabolites indole-3-propionic acid (HPS, ß: 0.16, 95% CI: 0.07, 0.26, P = 7.32 × 10-4; HEI-15, ß: 0.16, 95% CI: 0.07, 0.25, P = 6.79 × 10-4), hippuric acid (HPS, ß: 0.11, 95% CI: 0.02, 0.21, P = 1.97 × 10-2; HEI-15, ß: 0.10, 95% CI: 0.01, 0.19, P = 3.14 × 10-2), and indoxyl sulfate (HPS, ß = -0.13, 95% CI: -0.23, -0.03, P = 8.21 × 10-3; HEI-15, ß: -0.12, 95% CI: -0.22, -0.03, P = 8.50 × 10-3). These gut microbial metabolites were associated with the intake of specific food groups, such as whole fruits. These metabolites were also associated with clinical variables, including blood pressure, diabetes or prediabetes, and body mass index. CONCLUSIONS: In a secondary analysis of the ChooseWell 365 study, associations between circulating gut microbiome-related metabolites and a healthy diet were confirmed using both objective and subjective measures of consumption. Accurate identification of diet-associated metabolites may help guide dietary or microbiome-based interventions aimed at disease prevention.

The Association Between Diet Quality and Glycemic Outcomes Among People with Type 1 Diabetes.

Background: The amount and type of food consumed impacts the glycemic response and insulin needs of people with type 1 diabetes mellitus (T1DM). Daily variability in consumption, reflected in diet quality, may acutely impact glycemic levels and insulin needs. Objective: Type 1 Diabetes Exercise Initiative (T1DEXI) data were examined to evaluate the impact of daily diet quality on near-term glycemic control and interaction with exercise. Methods: Using the Remote Food Photography Method, ≤8 d of dietary intake data were analyzed per participant. Diet quality was quantified with the Healthy Eating Index-2015 (HEI), where a score of 100 indicates the highest-quality diet. Each participant day was classified as low HEI (≤57) or high HEI (>57) based on the mean of nationally reported HEI data. Within participants, the relationship between diet quality and subsequent glycemia measured by continuous glucose monitoring (CGM) and total insulin dose usage was evaluated using a paired t-test and robust regression models. Results: Two hundred twenty-three adults (76% female) with mean ± SD age, HbA1c, and body mass index (BMI) of 37 ± 14 y, 6.6% ± 0.7%, and 25.1 ± 3.6 kg/m2, respectively, were included in these analyses. The mean HEI score was 56 across all participant days. On high HEI days (mean, 66 ± 4) compared with low HEI days (mean, 47 ± 5), total time in range (70-180 mg/dL) was greater (77.2% ± 14% compared with 75.7% ± 14%, respectively, P = 0.01), whereas time above 180 mg/dL (19% ± 14% compared with 21% ± 15%, respectively, P = 0.004), mean glucose (143 ± 22 compared with 145 ± 22 mg/dL, respectively, P = 0.02), and total daily insulin dose (0.52 ± 0.18 compared with 0.54 ± 0.18 U/kg/d, respectively, P = 0.009) were lower. The interaction between diet quality and exercise on glycemia was not significant. Conclusions: Higher HEI scores correlated with improved glycemia and lower insulin needs, although the impact of diet quality was modest and smaller than the previously reported impact of exercise.

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.