Diet Quality as Assessed by the Healthy Eating Index,Alternate Healthy Eating Index,Dietary Approaches to Stop Hypertension Score,and Health Outcomes: An Updated Systematic Review and Meta-Analysis of Cohort Studies

Background

Diets of the highest quality have been associated with a significantly lower risk of noncommunicable diseases.

The Association of Dietary Quality Indices and Cancer Mortality: A Systematic Review and Meta-analysis of Cohort Studies

This study aimed to systematically review and do a meta-analysis on available evidence on the association of diet quality indices with cancer mortality. We searched for relevant papers published up to August 2017 through Web of science, PubMed/Medline, Scopus, and Google Scholar. Prospective cohort studies examined the association of any dietary quality indices with cancer mortality were included. Overall, 27 publications were included. There was significant inverse associations between the Dietary Approaches to Stop Hypertension (DASH) diet (HR: 0.85; 95% CI: 0.79, 0.91; I²?=?81.8%), the Alternative Healthy Eating Index (AHEI) (HR: 0.90; 95% CI: 0.85, 0.95; I²: 61.5), the healthy eating index (HEI) (RR: 0.82; 95% CI: 0.75, 0.89; I²: 89.5%) and cancer mortality. Significant associations with the lowest heterogeneity between Diet Quality Index (DQI) (HR: 0.91; 95% CI: 0.89–0.93, I²?=?0.0%), alternative Mediterranean Diet (aMED) (RR: 0.81; 95% CI: 0.78–0.83, I²?=?1.7%), and HEI-2010 (HR: 0.82; 95% CI: 0.69–0.98, I²?=?0.0%) and death due to cancer were also found. However, the Recommended Food Score, Dietary Diversity Score (DDS), and HEI-2005 were not related with cancer mortality. Adherence to DASH diet, AHEI, HEI, DQI, aMED, and HEI-2010 decreased the risk of cancer mortality.     

Diet Quality as Measured by the Healthy Eating Index 2015 and Oral and Pharyngeal Cancer Risk

BackgroundAlcohol and tobacco are the major risk factors for oral and pharyngeal cancer, but diet is likely to have a role, too.ObjectiveThe objective was to analyze the relationship between adherence to the 2015-2020 Dietary Guidelines for Americans (DGA), as measured by the Healthy Eating Index 2015 (HEI-2015), and oral and pharyngeal cancer risk. Moreover, this work aimed to quantify the number of avoidable cases under different scenarios of increased adherence to the DGA, with the use of the potential impact fraction. This estimates the proportion of cases that would occur if the distribution of the risk factor in the population followed an alternative distribution.DesignA multicenter, case–control study was conducted in Italy between 1991 and 2009. Participants’ usual diet for the 2 years preceding study enrolment was assessed using a food frequency questionnaire.Participants and settingCases were 946 patients admitted to major hospitals with incident, histologically confirmed oral and pharyngeal cancer. Controls were 2,492 patients admitted to the same hospitals for acute non neoplastic conditions.Main outcome measuresThe adherence to the DGA was assessed using the HEI-2015 score (range = 0 to 100), based on 13 components. The outcome was oral and pharyngeal cancer.Statistical analyses performedOdds ratios and the corresponding 95% CIs were estimated using multiple logistic regression models adjusted for tobacco, alcohol, and other relevant covariates. The potential impact fraction was estimated under different scenarios of adherence to the DGA.ResultsIn this Italian population the HEI-2015 score ranged from 33.4 to 97.5. A higher HEI-2015 score was associated with a lower risk of oral and pharyngeal cancer, with an odds ratio of 0.70 (95% CI 0.62 to 0.79) for a 10-point increment of the score. The estimated potential impact fraction was 64.8% under the maximum achievable reduction scenario, and it ranged from 9% to 27% following other more feasible scenarios.ConclusionsThe HEI-2015 score was inversely related to oral and pharyngeal cancer risk in this Italian population. This analysis allowed for the estimation of the fraction of preventable cases, under different feasible scenarios. A share of 9% to 27% of avoidable cases of oral and pharyngeal cancer might be obtained across real-world scenarios of adherence to the DGA as measured by the HEI-2015 score.     

Mediterranean,DASH, and Alternate Healthy Eating Index Dietary Patterns and Risk of Death in the Physicians’ Health Study

Objective: Our primary objective was to examine the associations of the Mediterranean (MED), the Dietary Approaches to Stop Hypertension (DASH), and the Alternate Healthy Eating Index (AHEI) diet with total mortality. Our secondary objective was to examine the association of these three dietary patterns with cardiovascular disease (CVD) and cancer mortality. Research: Design and Methods: We prospectively studied 15,768 men from the Physicians’ Health Study who completed a semi-quantitative food-frequency questionnaire. Scores from each dietary pattern were divided into quintiles. Multivariable Cox regression models were used to estimate hazard ratio’s (95% confidence intervals) of mortality. Results: At baseline, average age was 65.9 ± 8.9 years. There were 1763 deaths, including 488 CVD deaths and 589 cancer deaths. All diet scores were inversely associated with risk for all-cause mortality: Hazard ratios (95% CI) of all-cause mortality from lowest to highest quintile for MED diet were 1.0 (reference), 0.85 (0.73–0.98), 0.80 (0.69–0.93), 0.77 (0.66–0.90), and 0.68 (0.58–0.79); corresponding values were 1.0 (reference), 0.96 (0.82–1.12), 0.95 (0.82–1.11), 0.88 (0.75–1.04), and 0.83 (0.71–0.99) for DASH diet and 1.0 (reference), 0.88 (0.77–1.02), 0.82 (0.71–0.95), 0.69 (0.59, 0.81), and 0.56 (0.47–0.67) for AHEI diet, after adjusting for age, energy, smoking, exercise, BMI, hypertension, coronary heart disease, congestive heart failure, diabetes, and atrial fibrillation. For cause-specific mortality, MED and AHEI scores were inversely associated with lower risk for CVD mortality, whereas AHEI and MED scores were inversely associated with lower risk for cancer mortality. Conclusion: Within this cohort of male physicians, AHEI, MED, and DASH scores were each inversely associated with mortality from all causes.     

Evaluation of the Healthy Eating Index-2015

Background

The Healthy Eating Index (HEI), a diet quality index that measures alignment with the Dietary Guidelines for Americans, was updated with the 2015-2020 Dietary Guidelines for Americans.

Diet Quality of Urban Older Adults Age 60 to 99 Years: The Cardiovascular Health of Seniors and Built Environment Study

There are few studies that evaluate dietary intakes and predictors of diet quality in older adults. The objectives of this study were to describe nutrient intakes and examine associations between demographic, economic, behavioral, social environment, and health status factors and diet quality. Cross-sectional data were from black, white, and Hispanic adults, age 60 to 99 years, living independently in New York City and participating in the Cardiovascular Health of Seniors and the Built Environment Study, 2009-2011 (n=1,306). Multivariable log-linear regression estimated associations between selected factors and good diet quality, defined as a Healthy Eating Index score more than 80 (based on the 2005 Dietary Guidelines for Americans [HEI-2005]). Dietary intakes were similar for men and women; intakes of energy, fiber, and the majority of micronutrients were less than recommendations, whereas intakes of fats, added sugar, and sodium were within the upper range or exceeded recommendations. Hispanic ethnicity (relative risk [RR]=1.37; 95% CI 1.07 to 1.75), energy intake <∼1,500 kcal/day (RR=1.93; 95% CI, 1.37 to 2.71), adherence to a special diet (RR=1.23; 95% CI: 1.02 to 1.50), purchasing food at supermarkets at least once/week (RR=1.34; 95% CI, 1.04 to1.74), and being married/living with a partner (RR=1.37; 95% CI, 1.10 to 1.71) were positively associated with HEI-2005 score more than 80. Consuming at least one restaurant meal/day was negatively associated with HEI-2005 score more than 80 (RR=0.69; 95%CI, 0.50-0.94). These findings identify specific groups of older adults, such as blacks or those who live alone, who may benefit from dietary interventions, as well as specific modifiable behaviors among older adults, such as eating restaurant meals or shopping at supermarkets, which may be targeted through interventions.     

Longer Participation in WIC Is Associated with Better Diet Quality in 24-Month-Old Children

BackgroundLittle 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.ObjectiveThe objective of the study was to examine the association between duration of WIC participation and diet quality of 24-month-old children.DesignA 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.ParticipantsParticipants 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.Main outcome measureHealthy Eating Index 2015 scores of children at age 24 months were calculated based on 24-hour dietary recalls.Statistical analyses performedUnadjusted 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.ResultsAfter 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).ConclusionsChildren 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.     

Index-based dietary patterns and risk of colorectal cancer: the NIH-AARP Diet and Health Study

The authors compared how four indexes-the Healthy Eating Index-2005, Alternate Healthy Eating Index, Mediterranean Diet Score, and Recommended Food Score-are associated with colorectal cancer in the National Institutes of Health-AARP Diet and Health Study (n = 492,382). To calculate each score, they merged data from a 124-item food frequency questionnaire completed at study entry (1995-1996) with the MyPyramid Equivalents Database (version 1.0). Other variables included energy, nutrients, multivitamins, and alcohol. Models were stratified by sex and adjusted for age, ethnicity, education, body mass index, smoking, physical activity, and menopausal hormone therapy (in women). During 5 years of follow-up, 3,110 incident colorectal cancer cases were ascertained. Although the indexes differ in design, a similarly decreased risk of colorectal cancer was observed across all indexes for men when comparing the highest scores with the lowest: Healthy Eating Index-2005 (relative risk (RR) = 0.72, 95% confidence interval (CI): 0.62, 0.83); Alternate Healthy Eating Index (RR = 0.70, 95% CI: 0.61, 0.81); Mediterranean Diet Score (RR = 0.72, 95% CI: 0.63, 0.83); and Recommended Food Score (RR = 0.75, 95% CI: 0.65, 0.87). For women, a significantly decreased risk was found with the Healthy Eating Index-2005, although Alternate Healthy Eating Index results were similar. Index-based dietary patterns that are consistent with given dietary guidelines are associated with reduced risk.     

Association of the Healthy Eating Index with Metabolic Abnormalities among Middle-Aged Adults Living in Single-Person Households in Korea

This study aimed to analyze the association between the dietary lifestyles and health outcomes among middle-aged (40–64 years old) and elderly (65 years old and older) individuals living alone using the Korean Healthy Eating Index (KHEI). The study was conducted with 1442 participants (475 men and 967 women) aged 40 years and older living in single-person households using the Korea National Health and Nutrition Examination Survey from 2016 to 2018. The KHEI scores were calculated based on the 24-h recall data of dietary intake. Among women living alone, the total KHEI score of the participants aged 40–64 years was 65.92, which was significantly lower than the 70.66 of those aged 65 years and older (p = 0.0152). In addition, the total score in the adequacy domain was significantly lower among the 40~64-year-old group than those aged 65 years and older (p = 0.0011). Among the elderly in single-person households, the odds of diabetes in the T1 group were 2.08 times higher than those in the T3 group according to the KHEI (95% confidence interval: 1.36–3.17). The results of this study are expected to be used as baseline data to establish nutrition, home meal replacement utilization, and health policies for the elderly living alone.     

Diet Quality in the United States Improved during the Great Recession and Deteriorated During Economic Recovery

BackgroundMacroeconomic changes are associated with population health outcomes, such as mortality, accidents, and alcohol use. Diet quality is a risk or protective factor that could be influenced by economic conditions.ObjectiveThis study examined the trajectory of diet quality measured by the Healthy Eating Index 2015 before, during, and after the 2008-2009 Great Recession.DesignRepeated cross-sectional survey data from the National Health and Nutrition Examination Survey were analyzed.Participants/settingThe analytic sample included 48,679 adults who completed at least one dietary recall from National Health and Nutrition Examination Survey 1999-2018.Main outcome measuresDiet quality was assessed with a 24-hour dietary recall to calculate the Healthy Eating Index 2015 total scores, a measure of the conformance with the 2015-2020 Dietary Guidelines for Americans.Statistical analyses performedLeast squares regression was used to adjust for demographic changes across waves.ResultsDiet quality improved noticeably during the Great Recession and deteriorated as economic conditions improved.ConclusionsDeteriorating economic circumstances may constrain choices, but that does not necessarily imply a worsening of dietary quality. During the Great Recession, American diets became more consistent with Dietary Guidelines for Americans recommendations, possibly because of a shift toward food prepared at home instead of prepared food bought away from home.     

Food Insecurity Is Inversely Associated with Diet Quality of Lower-Income Adults

Food insecurity acts as a chronic stressor independent of poverty. Food-insecure adults may consume more highly palatable foods as a coping mechanism, leading to poorer diet quality and increased risks of chronic disease over time. Using data from the 1999-2008 National Health and Nutrition Examination Surveys, this study aimed to examine the cross-sectional differences in dietary intake and diet quality by household food security among 8,129 lower-income adults (≤300% of the federal poverty level). Food insecurity was assessed using the 18-item US Household Food Security Survey Module. Dietary intake was assessed from 24-hour recalls and diet quality was measured using the Healthy Eating Index-2005 and the Alternate Healthy Eating Index-2010. Relative mean differences in dietary outcomes by household food security were estimated using linear regression models, adjusting for sociodemographic characteristics. Lower-income food-insecure adults reported higher consumption of some highly palatable foods, including high-fat dairy products (P trend<0.0001) and salty snacks (P trend=0.01) compared with lower-income food-secure adults. Food insecurity was also associated with more sugar-sweetened beverages (P trend=0.003); more red/processed meat (P trend=0.005); more nuts, seeds, and legumes (P trend=0.0006); fewer vegetables (P trend<0.0001); and fewer sweets and bakery desserts (P trend=0.0002). No differences were observed for intakes of total energy and macronutrients. Food insecurity was significantly associated with lower Healthy Eating Index-2005 (P trend<0.0001) and Alternate Healthy Eating Index-2010 scores (P trend<0.0001). Despite no macronutrient differences, food insecurity was associated with characteristics of poor diet quality known to increase chronic disease risk.     

Dietary Quality Assessed by the HEI-2010 and Biomarkers of Cardiometabolic Disease: An Exploratory Analysis

Abstract

Objectives: This study explores relationships between cardiometabolic measures of antioxidant capacity or inflammation and diet quality assessed by the Healthy Eating Index (HEI)-2010 which measures conformity to Dietary Guidelines for Americans. This cross-sectional study was an ancillary analysis of baseline data for a randomized controlled trial with older adults at risk for cardiometabolic disease (ClinicalTrials.gov #NCT00955903).

Methods: Community-dwelling older adults (n?=?133, 49% male, 70.4?±?4.8?years) with a body mass index of 30–40?kg/m² provided a fasted blood sample for measurement of antioxidant capacity, high-sensitivity C-reactive protein, tumor necrosis factor-alpha, and interleukin-6. Dietary data were generated from the mean of three 24-hour recalls.

Results: After adjustment for potential confounders, HEI-2010 composite scores were not significantly associated with decreased inflammation or greater antioxidant capacity. In analysis of the 12 components composing the HEI-2010, significant positive association was observed between total dairy and total serum antioxidant capacity (0.043; 95% CI, 0.008–0.069). Significant associations observed in inflammatory markers were between total vegetable and tumor necrosis factor-alpha (?0.078; 95% CI, ?0.151 to ?0.005), sodium and interleukin-6 (0.091; 95% CI, 0.023–0.158), and scores for combined calories from solid fats, alcoholic beverages, and added sugars and interleukin-6 (0.139; 95% CI, 0.027–0.252). In models adjusting for HEI-2010 composite score when significant associations were observed between component scores and biomarkers, two of six associations were strengthened by adding the composite score as a potential confounder.

Conclusions: Largely null findings along with those inconsistent with scientific expectations suggest caution in extrapolating adherence to the HEI-2010 with an individual’s inflammatory or antioxidant status. Results merit additional investigation with other biomarkers of chronic disease and emphasis on dietary patterns given potential synergy within food combinations.     

Healthy Eating Index-2015 Scores Among Adults Based on Observed vs Recalled Dietary Intake

BackgroundThe construct and predictive validity of the Healthy Eating Index (HEI) have been demonstrated, but how error in reported dietary intake may affect scores is unclear.ObjectiveThese analyses examined concordance between HEI-2015 scores based on observed vs reported intake among adults.DesignData were from two feeding studies (Food and Eating Assessment STudy, or FEAST, I and II) in which true intake was observed for three meals on 1 day. The following day, participants completed an unannounced 24-hour dietary recall.Participants/settingFEAST I (2012) included 81 men and women, aged 20 to 70 years, living in the Washington, DC, area. FEAST II (2016) included 302 women, aged 18 years or older, with low household incomes and living in the Washington, DC, area. In FEAST I, recalls were completed independently using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24-2011) or interviewer-administered using the Automated Multiple-Pass Method. In FEAST II, recalls were completed using ASA24-2016, independently or in a small group setting with assistance.Main outcome measuresHEI-2015 scores were calculated using the population ratio method.Statistical analyses performedT-tests determined whether differences between scores based on observed and reported intake were different from zero. FEAST I data were stratified by sex, and in FEAST II, analyses were repeated by education and body mass index (BMI).ResultsDifferences in total HEI-2015 scores between observed and reported intake ranged from −1.3 to 5.8 points among those completing ASA24 independently in both studies, compared with −2.5 points in the small group setting. For interviewer-administered recalls, the differences were −1.1 for men and 2.3 for women. In FEAST II, total HEI-2015 scores derived from observed intake were lower than scores derived from reported intake among those who had completed high school or less (−3.2, SE 1.1, P<0.01) and those with BMI ≥ 30 (−2.8, SE 1.1, P = 0.01).ConclusionsHEI-2015 scores based on 24-hour dietary recall data are generally well estimated.     

Physical Fitness but Not Diet Quality Distinguishes Lean and Normal Weight Obese Adults

BackgroundIndividuals with normal weight obesity (NWO) have increased cardiometabolic disease and mortality risk, but factors contributing to NWO development are unknown.ObjectiveThe objective of this study was to determine whether diet quality scores and physical fitness levels differed between adults classified as lean, NWO, and overweight-obese. Secondary objectives of the study were to compare clinical biomarkers and food groups and macronutrient intakes between the three groups, and to test for associations between body composition components with diet quality scores and physical fitness levels.DesignThis is a secondary data analysis from a cross-sectional study that included metropolitan university and health care system employees. Body composition was measured by dual energy x-ray absorptiometry. Individuals with a body mass index <25 kg/m² and body fat >23% for men and >30% for women were classified as having NWO. Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension score, and Mediterranean Diet Score were calculated from Block food frequency questionnaires. Physical fitness was assessed by measuring maximal oxygen uptake (VO₂ maximum) during treadmill testing.Participants/settingThis study included 693 adults (65% women, mean age 48.9 ± 11.5 years) enrolled between 2007 and 2013 in Atlanta, GA.Main outcome measuresThe main outcome measures were Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension, and Mediterranean Diet Score diet quality scores and maximal oxygen uptake.Statistical analysesMultiple linear regression analyses with post hoc comparisons were used to investigate group differences in fitness, diet quality, and biomarkers. Regression analyses were also used to examine relationships between diet quality scores and fitness with body composition.ResultsVO₂ maximum was significantly lower in the NWO compared with the lean group (36.2 ± 0.8 mL/min/kg vs 40.2 ± 1.0 mL/min/kg; P < 0.05). Individuals with NWO reported similar diet quality to lean individuals and more favorable Alternate Healthy Eating Index and Dietary Approaches to Stop Hypertension scores than individuals with overweight-obesity (P < 0.05). Diet quality scores and physical fitness levels were inversely associated with percent body fat and visceral adipose tissue (P < 0.05), regardless of weight status. Individuals with NWO exhibited higher fasting blood insulin concentrations, insulin resistance, low-density lipoprotein cholesterol, and triglyceride levels, and significantly lower high-density lipoprotein cholesterol levels than lean individuals (P < 0.05).ConclusionsPhysical fitness was significantly decreased in individuals with NWO compared with lean individuals. Higher diet quality was associated with decreased total and visceral fat but did not distinguish individuals with NWO from lean individuals.     

Prenatal Depression and Diet Quality During Pregnancy

BackgroundMaternal nutrition during pregnancy has a significant effect on the health of the offspring and mother, highlighting the need for identifying factors that may affect diet during pregnancy. Research in nonpregnant and pregnant populations suggest depression may play a role.ObjectiveTo investigate the relationship between prenatal depression and diet quality during pregnancy overall and by race/ethnicity and to explore the relationships between prenatal depression and the 12 Healthy Eating Index 2010 dietary components.DesignA cross-sectional secondary analysis of a cohort study of Kaiser Permanente Northern California women entering prenatal care between October 2011 and April 2013.Participants/settingParticipants included 1,160 adult pregnant women.Main outcome measuresPoor diet quality was defined as a Healthy Eating Index 2010 score in the lowest quartile.Statistical analyses performedLogistic regression was used to assess the relationship between prenatal depression (defined as a depression diagnosis, Patient Health Questionnaire score of 10 or greater or antidepressant medication dispensing between the last menstrual period and completion of the food frequency questionnaire) and poor diet quality overall and by race/ethnicity. Relationships between prenatal depression and each of the 12 Healthy Eating Index 2010 dietary components were assessed using t-tests and linear regression analyses.ResultsOne hundred fifty-nine (14%) participants had prenatal depression. Women with prenatal depression had nearly two times the odds of poor diet quality (odds ratio 1.80, 95% CI 1.23 to 2.60) compared with women without prenatal depression, after adjusting for potential confounders. Differences emerged by race/ethnicity; after adjusting for potential confounders the adjusted odds of poor diet quality were significant only among Hispanic women. Hispanic women with prenatal depression had an increased odds of poor diet quality compared with Hispanic women without prenatal depression (odds ratio 2.66, 95% CI 1.15 to 6.06). Women with prenatal depression had a higher consumption of empty calories (from solid fats, alcohol, and added sugars; threshold for counting alcohol >13 g/1,000 kcal) (P=0.01) and lower consumption of greens and beans (P<0.05), total fruit (P<0.01), and whole fruit (P<0.01), compared with women without prenatal depression. Except for empty calories, these findings remained after adjusting for potential confounders.ConclusionsStudy findings suggest that women with prenatal depression are at a higher risk of poor diet quality compared with women without prenatal depression, and the relationship is stronger among Hispanic women. Nutrition counseling interventions for women with depression should consider the use of culturally sensitive materials and target limiting empty calories from solid fats, alcohol, and added sugars and encourage eating more greens, beans, and fruit.     

Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance

BACKGROUND: Adherence to the Dietary Guidelines for Americans, measured with the US Department of Agriculture Healthy Eating Index (HEI), was associated with only a small reduction in major chronic disease risk. Research suggests that greater reductions in risk are possible with more specific guidance. OBJECTIVE: We evaluated whether 2 alternate measures of diet quality, the Alternate Healthy Eating Index (AHEI) and the Recommended Food Score (RFS), would predict chronic disease risk reduction more effectively than did the HEI. DESIGN: A total of 38 615 men from the Health Professional's Follow-up Study and 67 271 women from the Nurses' Health Study completed dietary questionnaires. Major chronic disease was defined as the initial occurrence of cardiovascular disease (CVD), cancer, or nontraumatic death during 8-12 y of follow-up. RESULTS: High AHEI scores were associated with significant reductions in risk of major chronic disease in men [multivariate relative risk (RR): 0.80; 95% CI: 0.71, 0.91] and in women (RR: 0.89; 95% CI: 0.82, 0.96) when comparing the highest and lowest quintiles. Reductions in risk were particularly strong for CVD in men (RR: 0.61; 95% CI: 0.49, 0.75) and in women (RR: 0.72; 95% CI: 0.60, 0.86). In men but not in women, the RFS predicted risk of major chronic disease (RR: 0.93; 95% CI: 0.83, 1.04) and CVD (RR: 0.77; 95% CI: 0.64, 0.93). CONCLUSIONS: The AHEI predicted chronic disease risk better than did the RFS (or the HEI, in our previous research) primarily because of a strong inverse association with CVD. Dietary guidelines can be improved by providing more specific and comprehensive advice.     

Parent Food and Eating Behavior Assessments Predict Targeted Healthy Eating Index Components

ObjectiveTo examine the ability of parent response to assessments of in-home availability of 20 fruits and vegetables (FV), self-efficacy/outcome expectancy to prepare FV that their child would eat, modeling of FV eating behavior, and eating competence to predict parents’ targeted Healthy Eating Index–2010 (HEI) scores at baseline.DesignCross-sectional survey.SettingSixty-one classrooms in 8 northern Colorado elementary schools over 4 years participating in Fuel for Fun (FFF), a school-based culinary and physical activity intervention.ParticipantsParents and guardians (n = 71) of fourth-grade youths from participating classrooms.Main Outcome Measure(s)Healthy Eating Index–2010 scores as derived from 24-hour recalls administered with the Automated Self-Administered 24-hour dietary assessment tool.AnalysisGeneralized linear regression models tested the predictive validity of survey assessments for targeted HEI components. Results were considered statistically significant at P ≤ .05.ResultsIn-home FV availability predicted total fruit (P = .01), whole fruit (P = .001), and total vegetable (P = .01) HEI, and parent modeling of FV eating behavior predicted total fruit (P = .01) and whole fruit (P = .02) HEI. However, these survey measures were not associated with other HEI components, including total HEI. Parent self-efficacy/outcome expectancy to prepare FV that their child would eat or like was not associated with total HEI or HEI components. Eating competence did not predict total HEI but was associated with seafood and plant proteins in the anticipated direction (P = .04).Conclusions and ImplicationsThe results demonstrated construct validation of some parent Fuel for Fun survey assessments with targeted HEI components. Additional assessment in larger and more diverse samples is warranted so that nutrition education and behavior researchers may use these valid and reliable, brief, low-cost, and easy-to-use survey instruments as a proxy for dietary intake.     

Mediterranean Diet,Healthy Eating Index 2005, and Cognitive Function in Middle-Aged and Older Puerto Rican Adults

Adherence to a Mediterranean diet has recently been shown to protect against cognitive decline and dementia. It remains unclear, however, whether such protection extends to different ethnic groups and middle-aged individuals and how it might compare with adherence to the US Department of Agriculture's 2005 Dietary Guidelines for Americans (measured with Healthy Eating Index 2005 [HEI 2005]). This study examined associations between diet quality, as assessed by the Mediterranean diet and HEI 2005, and cognitive performance in a sample of 1,269 Puerto Rican adults aged 45 to 75 years and living in the Greater Boston area of Massachusetts. Dietary intake was assessed with a food frequency questionnaire specifically designed for and validated with this population. Adherence to the Mediterranean diet was assessed with a 0- to 9-point scale, and the HEI 2005 score was calculated with a maximum score of 100. Cognitive performance was measured with a battery of seven tests and the Mini Mental State Examination was used for global cognitive function. Greater adherence to the Mediterranean diet was associated with higher Mini Mental State Examination score (P trend=0.012) and lower likelihood (odds ratio=0.87 for each additional point; 95% CI 0.80 to 0.94; P<0.001) of cognitive impairment, after adjustment for confounders. Similarly, individuals with higher HEI 2005 score had higher Mini Mental State Examination score (P trend=0.011) and lower odds of cognitive impairment (odds ratio=0.86 for each 10 points; 95% CI 0.74 to 0.99; P=0.033). In conclusion, high adherence to either the Mediterranean diet or the diet recommended by the US Department of Agriculture 2005 Dietary Guidelines for Americans can protect cognitive function in middle-aged and older adults.     

Update of the Healthy Eating Index: HEI-2015

The Healthy Eating Index (HEI) is a measure for assessing whether a set of foods aligns with the Dietary Guidelines for Americans (DGA). An updated HEI is released to correspond to each new edition of the DGA, and this article introduces the latest version, which reflects the 2015-2020 DGA. The HEI-2015 components are the same as in the HEI-2010, except Saturated Fat and Added Sugars replace Empty Calories, with the result being 13 components. The 2015-2020 DGA include explicit recommendations to limit intakes of both Added Sugars and Saturated Fats to <10% of energy. HEI-2015 does not account for excessive energy from alcohol within a separate component, but continues to account for all energy from alcohol within total energy (the denominator for most components). All other components remain the same as for HEI-2010, except for a change in the allocation of legumes. Previous versions of the HEI accounted for legumes in either the two vegetable or the two protein foods components, whereas HEI-2015 counts legumes toward all four components. Weighting approaches are similar to those of previous versions, and scoring standards were maintained, refined, or developed to increase consistency across components; better ensure face validity; follow precedent; cover a range of intakes; and, when applicable, ensure the DGA level corresponds to a score >7 out of 10. HEI-2015 component scores can be examined collectively using radar graphs to reveal a pattern of diet quality and summed to represent overall diet quality.