Association between Healthy Eating Index-2020 and Oral Microbiome among Postmenopausal Women.

BACKGROUND: Dietary intake has been suggested to be associated with the oral microbiome, but no study has examined the association between overall diet quality and the oral microbiome. OBJECTIVE: This study aims to investigate the cross-sectional association between the Healthy Eating Index-2020 (HEI-2020) and the diversity and composition of the oral microbiome among participants in the Buffalo Osteoporosis and Periodontal Disease (OsteoPerio) Study. METHODS: In 1,175 postmenopausal women (mean age 67±7.0 yrs), we estimated the HEI-2020 scores for each woman from a food frequency questionnaire administered from 1997-2000. Bacterial DNA was extracted from subgingival plaque samples and analyzed using 16S ribosomal RNA sequencing. The alpha-diversity (within-sample diversity) and beta-diversity (between-sample diversity) across HEI-2020 quartiles were examined using ANCOVA and PERMANOVA, respectively. The associations between the HEI-2020 score and the relative abundance of microbial taxa were examined by linear regression models. The analyses were further conducted for individual components of the HEI-2020. RESULTS: No statistically significant associations were observed between the HEI-2020 scores and the alpha- or beta-diversity. However, greater consumption of seafood and plant proteins, as well as total protein, and lower consumption of added sugars, were positively associated with alpha-diversity. After we applied a false detection rate (FDR) correction, higher HEI-2020 scores were significantly associated with decreased abundance of Lautropia, Streptococcus gordonii, Cardiobacterium valvarum, and Cardiobacterium hominis, and increased abundance of Selenomonas sp. oral taxon 133 and Selenomonas dianae (FDR adjusted p-values<0.10). Additionally, 28 other taxa were identified as being associated with HEI-2020 components. CONCLUSION: While the HEI-2020 was associated with the composition, but not the diversity, of the oral microbiome, individual HEI-2020 components were associated with both its diversity and composition. Specific dietary components may have more impact on the diversity and composition of oral microbiome than overall diet quality assessed by the HEI-2020.

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

BACKGROUND: Poor dietary quality is a risk factor for diet-related chronic disease and suboptimal nutritional patterns often begin early in the life course. Although the dietary intakes of young children, adolescents, and middle-aged and older adults are well established, much less is known about emerging adults, who represent a unique time point in life, as they are undergoing significant changes in food environments, autonomy, finances, and caregiver and parental involvement. OBJECTIVES: This study aimed to examine dietary quality, as assessed via the Healthy Eating Index (HEI), by demographic, socioeconomic, and health-related characteristics among emerging adults (18-23 y) in the United States who participated in the 2015-2018 National Health and Nutrition Examination Survey (NHANES). METHODS: NHANES data were collected via a household interview and 2 24-h dietary recalls (24HR). Usual dietary intakes from the 24HRs were approximated using the multivariate National Cancer Institute Method to compute mean HEI-2015 overall and component scores (range: 0-100; higher scores indicating higher dietary quality). RESULTS: Overall dietary quality among emerging adults (HEI-2015: 50.3 ± 1.3) was significantly lower than other adults (≥24 y) (HEI-2015: 56.3 ± 0.5; P < 0.0001) in the United States, with differences primarily driven by lower intakes of whole fruit, vegetables, and whole grains and higher intakes of sodium, refined grains, and saturated fat. Few differences in HEI-2015 scores were noted across population subgroups by sex, food security, family income, and food assistance program participation, except for added sugar; intakes of added sugar were significantly higher among women, food insecure, and food assistance program participants than those in their counterparts, respectively. CONCLUSIONS: Dietary quality is poor among emerging adults in the United States and persists across all population subgroups, suggesting a significant need for tailored public health interventions to improve dietary quality among this population. Future research investigating to what extent emerging adults prioritize healthful behaviors and exploring other indicators for identifying nutritionally vulnerable subgroups may be impactful for identifying disparities among this life stage.

Dietary Intakes of Community-Dwelling Adults in the United States across Older Adulthood: National Health and Nutrition Examination Survey 2015-March 2020.

BACKGROUND: Dietary guidance is set on the basis of age and life stage and defines older adults as ≥60 y. Yet, little is known about if and/or how diet quality differs beyond the age of 60. OBJECTIVE: The objective of this study was to compare the dietary intakes of 60-69 (n = 2079), 70-79 (n = 1181), and 80+ y old (n = 644) noninstitutionalized men and women in the United States using the Healthy Eating Index 2015 (HEI) and the What We Eat in America food categories. METHODS: Data were obtained from National Health and Nutrition Examination Survey 2015-2016 and 2017-March 2020. HEI and component scores were calculated using the population ratio method. Population estimates for dietary intake were calculated as the average reported over 2 separate nonconsecutive 24-h dietary recalls. RESULTS: In men and women, the reported energy intake was lower among the 80+ y olds (kcal/d men-80+: 1884 ± 30, 70-79: 2022 ± 33, 60-69: 2142 ± 39; women-80+: 1523 ± 36; 70-79: 1525 ± 33, 60-69: 1650 ± 25; P-trend < 0.001). Total HEI scores did not differ significantly across the 3 age categories, but the 80+ y olds had significantly lower scores for the green vegetables and beans component than the 60-69 y olds [men-mean (95% confidence interval): 2.0 (1.5, 2.5) compared with 3.4 (2.6, 4.1); women-2.3 (1.8, 2.8) compared with 4.4 (3.7, 5.0)]. In women, the percentage of daily calories from protein was significantly lower in the 80+ y olds than in the 60-69 and 70-79 y olds (12.9% ± 0.6%, compared with 17.0% ± 0.9% and 15.6% ± 0.6%, respectively). Protein intake did not differ significantly among the 3 age groups in men. The 80+ y old men and women reported consuming a significantly higher percentage of calories from snacks and sweets compared with the 60-69 y olds (men-80+: 18.1% ± 0.8%, 60-69: 15.4% ± 0.7%; women-80+: 19.6% ± 0.8%, 60-69: 15.5% ± 0.7%). CONCLUSION: The diet of 80+ y olds differed from that of 60-69 y olds in some key components, including energy, snacks and sweets, protein, and green vegetables. Future research is needed to determine if there are health-related consequences to these differences.

A Cluster-Randomized Evaluation of the SuperShelf Intervention in Choice-Based Food Pantries.

BACKGROUND: Interventions in food pantry settings have the potential to improve health among clients at risk of diet-related disease. PURPOSE: This study evaluates whether a cluster-randomized, behavioral intervention in food pantries resulted in improved client outcomes. METHODS: Sixteen Minnesota food pantries were randomized to an intervention (n = 8) or control condition (n = 8). The intervention offered pantries technical assistance to improve healthy food supply and implement behavioral economics strategies to promote healthy food selection. A convenience sample of adult clients were enrolled (paired sample, 158 intervention, 159 control) and followed for 1 year. Additional clients were enrolled at follow-up to assess food selection (follow-up sample, 85 intervention, 102 control). Analysis was limited to data from 11 pantries (5 intervention, 6 control) due to COVID-19. Outcome measures included Healthy Eating Index-2015 (HEI-2015) total and subcomponent scores for 24-hr dietary recalls and client cart selections, and Life's Simple 7 (LS7) total and subcomponent scores. Multilevel mixed-effects models tested whether client outcomes differed by intervention condition. RESULTS: In adjusted models, there were no statistically significant differences by intervention condition in HEI-2015 or LS7 scores. Clients in intervention food pantries had improved Refined Grain subcomponent scores (p = .004); clients in control pantries had worsened Saturated Fat subcomponents scores (p = .019) and improved physical activity scores (p = .007). CONCLUSIONS: The intervention did not result in improved diet quality or cardiovascular health as measured by HEI-2015 or LS7. Coordinated efforts across settings are needed to address health risks facing this population.

Food pantries are an optimal setting to address health and diet quality among clients experiencing food insecurity. This study tests whether a food pantry intervention resulted in improved dietary and cardiovascular outcomes among clients. Sixteen Minnesota food pantries were randomized to either receive an intervention or a delayed intervention. The intervention offered food pantries technical assistance to improve healthy food supply and "nudge" clients toward healthy choices. Due to the COVID-19 pandemic, measures were completed 11 pantries (5 intervention, 6 control). Outcome measures included diet quality of food selected by clients, diet quality of food consumed by clients, and Life's Simple 7 measure of cardiovascular health. The intervention did not result in improved diet quality or cardiovascular health. Coordinated efforts across community settings are needed to address health risks facing this population.

Dietary quality and dietary greenhouse gas emissions in the USA: a comparison of the planetary health diet index, healthy eating index-2015, and dietary approaches to stop hypertension.

BACKGROUND: The Planetary Health Diet Index (PHDI) measures adherence to the dietary pattern presented by the EAT-Lancet Commission, which aligns health and sustainability targets. There is a need to understand how PHDI scores correlate with dietary greenhouse gas emissions (GHGE) and how this differs from the carbon footprints of scores on established dietary recommendations. The objectives of this study were to compare how the PHDI, Healthy Eating Index-2015 (HEI-2015) and Dietary Approaches to Stop Hypertension (DASH) relate to (a) dietary GHGE and (b) to examine the influence of PHDI food components on dietary GHGE. METHODS: We used life cycle assessment data from the Database of Food Recall Impacts on the Environment for Nutrition and Dietary Studies to calculate the mean dietary GHGE of 8,128 adult participants in the 2015-2016 and 2017-2018 cycles of the National Health and Nutrition Examination Survey (NHANES). Poisson regression was used to estimate the association of (a) quintiles of diet score and (b) standardized dietary index Z-scores with dietary GHGE for PHDI, HEI-2015, and DASH scores. In secondary analyses, we used Poisson regression to assess the influence of individual PHDI component scores on dietary GHGE. RESULTS: We found that higher dietary quality on all three indices was correlated with lower dietary GHGE. The magnitude of the dietary quality-dietary GHGE relationship was larger for PHDI [-0.4, 95% CI (-0.5, -0.3) kg CO2 equivalents per one standard deviation change] and for DASH [-0.5, (-0.4, -0.6) kg CO2-equivalents] than for HEI-2015 [-0.2, (-0.2, -0.3) kg CO2-equivalents]. When examining PHDI component scores, we found that diet-related GHGE were driven largely by red and processed meat intake. CONCLUSIONS: Improved dietary quality has the potential to lower the emissions impacts of US diets. Future efforts to promote healthy, sustainable diets could apply the recommendations of the established DASH guidelines as well as the new guidance provided by the PHDI to increase their environmental benefits.

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.

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.

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.

Evaluating the diet in Germany with two indices focusing on healthy eating and planetary healthy eating using nationwide cross-sectional food intake data from DEGS1 (2008-2011).

PURPOSE: To improve sustainability, adjustments to current diets are necessary. Therefore, limited planetary resources are considered within the healthy reference diet proposed by the EAT-Lancet Commission. The agreement with nationwide food intake was evaluated with two indices which reflect this reference and German food intake recommendations. METHODS: A healthy eating index (HEI-MON) reflecting the dietary guidelines of the German nutrition society and a planetary healthy eating index (PHEI-MON) reflecting the healthy reference diet were developed, with scores from 0 to 100. Both indices were applied to data from a nationally representative sample of the German population aged 18-79 years for which data from a 53-item food frequency questionnaire are available. RESULTS: Mean scores for the indices were 53 for HEI-MON and 39 for PHEI-MON. A better adherence to either guideline could be found among women, persons of older age as well as persons with higher education level. The sub-scores for HEI-MON showed high agreement with the recommendations for side dishes, fruit/nuts, (processed) meat and cereals, but low agreement with the recommendations for free sugar and vegetables/legumes. PHEI-MON sub-scores were highest for poultry, fruits and potatoes, and lowest for nuts, red meat and legumes. High scores in one index do not necessarily correspond to high scores in the other index. Individuals with more plantbased diets had higher scores in both indices, while high sugar and meat consumption led to lower scores. CONCLUSIONS: More plant-based diets are crucial for individual and planetary health. Both indices reflect such diets which consider already health and sustainability aspects. At an individual level, the scores for both indices may differ considerably, but overall there is a huge potential in the population to adapt to a diet more in line with both guidelines.

Chinese Healthy Eating Index (CHEI) and risk of diabetes in Chinese adults: a prospective cohort study.

PURPOSE: The Chinese Healthy Eating Index (CHEI) is a valid instrument to assess the diet quality of the Chinese population, but evidence regarding the relationship between CHEI and the risk of diabetes remains limited. We aimed to investigate the prospective association of CHEI with diabetes among Chinese adults. METHODS: 1563 adults free of diabetes at baseline and with at least two survey data from 1997 to 2018 were included. Dietary information was collected by three consecutive 24-h recalls combined with household food inventory, and long-term diet quality was evaluated by the CHEI. Diabetes was defined as self-reported physician-diagnosed diabetes and/or fasting blood glucose ≥ 7.0 mmol/L, and/or HbA1c ≥ 6.5%. Cox proportional hazard models and restricted cubic spline analysis were used to estimate the associations between CHEI and diabetes. RESULTS: During a median follow-up of 12.0 years, 192 (10.3%) participants developed new-onset diabetes. Generally, a five-point higher CHEI score was significantly associated with a 17% lower risk of diabetes (HR, 0.83; 95%CI 0.71-0.97). In stratified analysis, inverse associations between CHEI and diabetes were more vigorous in females (HR, 0.68; 95%CI 0.54-0.85) than in males (P for interaction = 0.01). In addition, there was an L-shaped association between CHEI and diabetes risk in the whole population (P for non-linearity = 0.026), while no significant non-linear association was observed in females or males, respectively. CONCLUSION: Our results suggested that a long-term higher-quality diet evaluated by CHEI was significantly associated with lower risks of diabetes, and the favorable associations were more pronounced among females.

Association of food insecurity with overall and disease-specific mortality among cancer survivors in the US.

PURPOSE: To investigate the association of food insecurity with overall and disease-specific mortality among US cancer survivors. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES 1999-2018) were used to examine the impact of food insecurity on mortality risks among cancer survivors in the US. Study participants aged ≥ 20 years who had a history of cancer and completed the Adult Food Security Survey Module were included. Mortality data [all-cause, cancer, and cardiovascular (CVD) specific] through December 31, 2019 were obtained through linkage to the National Death Index. Using multivariable Cox proportional hazard regression, hazard ratios of mortality based on food security status were estimated. RESULTS: Among 5032 cancer survivors (mean age 62.5 years; 58.0% women; 86.2% non-Hispanic White), 596 (8.8%) reported food insecurity. Overall, 1913 deaths occurred (609 cancer deaths and 420 CVD deaths) during the median follow-up of 6.8 years. After adjusting for age, food insecurity was associated with a higher risk of overall (HR = 1.93; 95% CI = 1.56-2.39), CVD-specific (HR = 1.95; 95% CI = 1.24-3.05), and cancer-specific (HR = 1.70; 95% CI = 1.20-2.42) mortality (P < 0.001). However, after adjusting for socioeconomic characteristics and health-related factors (physical activity, diet quality measured by healthy eating index), the association between food insecurity and overall mortality was no longer statistically significant. CONCLUSIONS: Food insecurity was associated with a greater risk of overall mortality among cancer survivors. Further studies are needed to confirm these findings and evaluate whether the observed association represents a causal phenomenon and, if so, whether the effect is modifiable with food assistance programs.

Treatment response to supplemental nutrients for ADHD is independent of diet quality: the MADDY Study RCT.

OBJECTIVES: The 8-week Micronutrients for ADHD in Youth (MADDY) randomized controlled trial (N = 126, age 6-12) of broad-spectrum multinutrients for ADHD with emotional dysregulation found 3 times as many responders with multinutrients (54%) compared to placebo (18%) by Clinical Global Impression-Improvement (CGI-I). Our primary aim for this analysis tests the hypothesis that those with poor overall diet quality at baseline benefit more. The second aim is to explore whether specific components of diet quality moderate treatment response. METHODS: 124 children (69 multinutrients, 55 placebo) had diet quality assessed using the Healthy Eating Index-2015 (HEI-2015). For each potential moderator, the outcome CGI-I at week 8 (RCT-end), was modeled two ways: (1) as a dichotomous variable: responder/non-responder, with responders defined by a rating of 1 or 2 'very much' or 'much improved,' all else equals non-responder using logistic regression, and (2) as a dimensional improvement outcome from 1 = very much improved to 7 = very much worse, using linear regression. RESULTS: HEI-2015 total score did not moderate treatment response [odds ratio = 1.00 (95% CI: 0.90,1.10), p = 0.984] or improvement [ß = -0.01 (95% CI: -0.06,0.04), p = 0.648]. However, total vegetable intake moderated level of improvement in exploratory analysis [ß = -0.48 (95% CI: -0.82, -0.13), p = 0.007]: those with higher baseline vegetable intake showed greater benefit from multinutrients compared to placebo. CONCLUSIONS: Multinutrients may benefit children with ADHD and irritability regardless of overall diet quality. The finding that higher baseline vegetable intake may improve response to multinutrients deserves further exploration, including dietary effect on gut microbiota and absorption of multinutrients and parental factors.

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.

Diet quality and blood pressure among pregnant women with overweight or obesity: A secondary analysis of two randomized controlled trials.

INTRODUCTION: Maternal obesity is a significant risk factor for hypertensive disorders of pregnancy. High diet quality may protect against this, yet data regarding the relationship between diet quality and blood pressure among pregnant women with raised body mass index (BMI) is limited. MATERIAL AND METHODS: This is a secondary analysis (n = 543) of women with BMI ≥25 kg/m2 from two randomized controlled trials; PEARS (Pregnancy Exercise and nutrition Research Study with smartphone application support) and ROLO (Randomized cOntrol trial of LOw glycemic index diet to prevent macrosomia in euglycemic women). Blood pressure was measured at 10-18 weeks and 28 weeks of pregnancy. Mean arterial pressure was calculated as (diastolic blood pressure + 1 3 × [systolic blood pressure - diastolic blood pressure]). Diet quality was assessed using 3-day food diaries, and Alternative Healthy Eating Index for Pregnancy (AHEI-P) scores were generated, quantifying alignment of food intakes with dietary guidelines in first and early third trimesters. The cohort was divided based on AHEI-P tertiles to explore differences at an alpha significance value of <0.05. RESULTS: The mean age of the group was 32.21 ± 4.39 years with a median body mass index (BMI) of 28.13 (IQR 3.47) kg/m2. Mean arterial pressures in the first and third trimesters were 81.07 ± 9.00 mmHg and 82.33 ± 7.53 mmHg, respectively. Rates of elevated blood pressure (≥120/80 mmHg) were 22.33% in trimester 1 and 24.48% in early trimester 3. Mean AHEI-P scores in trimester 1 and early trimester 3 were 53.90 ± 10.43 and 54.05 ± 10.76, respectively. There was no correlation between AHEI-P score and blood pressure and no differences in blood pressure between AHEI-P tertiles at either timepoint (all P-values <0.05). A higher proportion of those with elevated early third trimester blood pressure had a BMI of ≥30 kg/m2 compared with those with normal blood pressure (40.31% vs 28.64%, P = 0.016). CONCLUSIONS: While diet remains an important factor in maternal health and wellbeing, we did not find a relationship between diet quality as measured by AHEI-P and blood pressure among pregnant women with BMI ≥25 kg/m2. High BMI remains a risk factor for hypertensive disorders of pregnancy.

Association between healthy eating index-2015 scores and metabolic syndrome among Iranian women: a cross-sectional study.

BACKGROUND: Metabolic syndrome (MetS) is one of the leading public health issues in the world with a reported prevalence of nearly 25% in the past decades in Iran. The present research aimed to identify the association between the Healthy Eating Index (HEI) and MetS components among female teachers. METHODS: In this cross-sectional study, 97 female teachers aged 31-57 years were enrolled from 2018 to 2019 in Qom, Iran. Usual dietary intakes were assessed using a validated 168-item Food Frequency Questionnaire (FFQ). HEI-2015 was calculated according to the consumption of whole fruits, vegetables, protein foods, beans, seafood, plant proteins, total and refined grain, dairy, fatty acid ratio, saturated fats, added sugars, and sodium. We also measured anthropometric and biochemical parameters. To evaluate the association between HEI-2015 and MetS, multivariate logistic regression was performed. RESULTS: MetS was found in 59.8% of participants. Total HEI-2015 scores were significantly lower in participants with MetS compared to those without MetS (59.69 ± 8.98 vs. 64.21 ± 8.71, respectively; p = 0.02). Daily energy intake, weight, body mass index, waist circumference, systolic and diastolic blood pressure, serum triglyceride, and fasting blood sugar levels were higher in women with MetS (all p < 0.05). Higher HEI-2015 total scores (OR: 0.94; 95% CI: 0.89-0.99; p = 0.02) and scores of total vegetables (OR: 0.62; 95% CI: 0.42-0.91; p = 0.02), dark green vegetables and beans (OR: 0.62; 95% CI: 0.39-0.98; p = 0.04), fatty acid ratio (OR: 0.83; 95% CI: 0.68-0.99; p = 0.04), refined grain (OR: 0.86; 95% CI: 0.75-0.99; p = 0.04), and added sugars (OR: 0.44; 95% CI: 0.26-0.75; p = 0.002) were all associated with lower odds of having MetS. CONCLUSIONS: Higher HEI-2015 scores, particularly in total vegetables, dark green vegetables, beans, and fatty acid ratio, as well as refined grain and added sugars were found to be associated with reduced odds of having MetS among Iranian female teachers. However, further prospective studies are required to confirm this finding.

Adherence to the healthy eating index-2010 and alternative healthy eating index-2010 in relation to metabolic syndrome among African Americans in the Jackson heart study.

OBJECTIVE: The primary objective of this study was to determine whether Healthy Eating Index (HEI) and Alternative Healthy Eating Index (AHEI) scores were associated with incident metabolic syndrome. DESIGN: This study is a secondary analysis of data from the Jackson Heart Study. HEI and AHEI scores were divided into quintiles and Cox proportional hazards regression models were analysed for 1864 African American adults free from metabolic syndrome at Exam 1 to examine the incidence of metabolic syndrome by quintile of dietary quality score. SETTING: Hinds, Madison and Rankin counties, Mississippi, USA. PARTICIPANTS: African American adults, ages 21-94 years, 60·9 % female. RESULTS: Over a mean follow-up time of 6·7 years, we observed 932 incident cases of metabolic syndrome. After adjusting for multiple covariates, a higher HEI score at Exam 1 was not associated with the risk of incident metabolic syndrome, except when looking at the trend analysis for the subgroup of adults with two metabolic syndrome components at Exam 1 (P-trend = 0·03). A higher AHEI score at Exam 1 was associated with the risk of incident metabolic syndrome (hazard ratio for those in the highest quintile compared to the lowest: 0·80 (95 % CI: 0·65, 0·99), P-trend = 0·03). CONCLUSION: These findings suggest that a dietary pattern that scores higher on the AHEI may help reduce the risk of metabolic syndrome, even for adults who already have two of the minimum of three components required for a diagnosis of metabolic syndrome.

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.

Sex differences in association of healthy eating pattern with all-cause mortality and cardiovascular mortality.

BACKGROUND: Although the Healthy Eating Index (HEI) is widely recommended to reduce the risk of cardiovascular disease and all-cause death, there are significant differences in physiological and nutritional factors between the sexes. The potential impact of sex on adult dietary health is still poorly understood. The study was designed to assess whether the health benefits of diet differed by sex. METHODS: In a prospective study of 39,567 U.S. adults (51.2% female, age 46.8 ± 17.6 years), we examined sex-specific, multivariable-adjusted associations of HEI with all-cause mortality and cardiovascular disease mortality. Restricted cubic splines (RCS), subgroup analysis, propensity score matching (PSM), random forest feature importance, and sensitivity analysis were also used. RESULTS: During 328,403 person-years of follow-up, a total of 4754 all-cause deaths were recorded, including 1481 cardiovascular deaths. Compared to the lowest quartile of HEI, the all-cause mortality rate of females and males in the highest quartile array decreased by 34% (HR 0.66 [95% CI 0.55-0.8]) and 15% (HR 0.85 [95% CI 0.73-0.99]), respectively. The restricted cubic spline showed a linear inverse association between baseline HEI and all-cause mortality and CVD mortality, with similar sex-specific results. Similarly, component scores were sex-specific for mortality risk, with females benefiting more from diet. The benefits of dairy products, vegetables, and sodium scores on the risk of all-cause death were higher in males and females. However, the benefits of vegetable, sodium, and fatty acid scores on the risk of cardiovascular death were different. CONCLUSIONS: In the adult population of the U.S., there are more opportunities for females to reduce the risk of all-cause mortality and cardiovascular mortality from the same dose of healthy dietary intake than males. These findings could reduce the risk of death by motivating the population, especially females, to consume healthy dietary components, especially vegetables and dairy products.

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

BACKGROUND: There has been lack of evidence on the association between healthy dietary patterns and metabolic health status of adolescents. The present study aimed to evaluate the association between alternative healthy eating index (AHEI) and metabolic health status among a relatively representative sample of Iranian adolescents with overweight/obesity. METHODS: Adolescents with extra body weight (n = 203, aged 12-18 y), were selected for this cross-sectional study by a multistage cluster random-sampling method. Habitual dietary intakes and diet quality of individuals were assessed using validated food frequency questionnaire and AHEI-2010, respectively. Data on other covariates were also gathered by pre-tested questionnaires. To determine fasting glucose, insulin and lipid profiles, fasting blood samples were collected. Participants were categorized as having metabolically healthy overweight/obesity (MHO) or metabolically unhealthy overweight/obesity (MUO) phenotypes, based on two approaches (International Diabetes Federation (IDF) and combination of IDF with Homeostasis Model Assessment Insulin Resistance (HOMA-IR)). RESULTS: The overall prevalence of MUO was 38.9% (based on IDF criteria) and 33.0% (based on IDF/HOMA-IR criteria). After considering all potential confounders, participants in highest tertiles of AHEI-2010 had lower odds of MUO profile according to both IDF (OR = 0.05; 95% CI: 0.01-0.15) and IDF/HOMA-IR (OR = 0.05; 95% CI: 0.02-0.19) definitions. This association was stronger in adolescents with overweight compared with obese ones and also among girls than boys. Moreover, each unit increase in AHEI-2010 score was associated with lower risk of MUO based on both criteria. CONCLUSIONS: Higher adherence to AHEI-2010 was inversely associated with odds of MUO in Iranian adolescents with overweight/obesity.

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.