Alternative Healthy Eating Index-2010 and Incident Non-Communicable Diseases: Findings from a 15-Year Follow Up of Women from the 1973-78 Cohort of the Australian Longitudinal Study on Women's Health.

Non-communicable diseases (NCDs) and multimorbidity (≥two chronic conditions), are increasing globally. Diet is a risk factor for some NCDs. We aimed to investigate the association between diet quality (DQ) and incident NCDs. Participants were from the Australian Longitudinal Study on Women's Health 1973-78 cohort with no NCD and completed dietary data at survey 3 (2003, aged 25-30 years) who responded to at least one survey between survey 4 (2006) and survey 8 (2018). DQ was measured by the Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included coronary heart disease (CHD), hypertension (HT), asthma, cancer (excluding skin cancer), diabetes mellitus (DM), depression and/or anxiety, multimorbidity, and all-cause mortality. Repeated cross-sectional multivariate logistic regressions were performed to investigate the association between baseline DQ and NCDs over 15 years. The AHEI-2010 mean (±sd) for participants (n = 8017) was 51.6 ± 11.0 (range: 19-91). There was an inverse association between AHEI-2010 and incident asthma at survey 4 (ORQ5-Q1: 0.75, 95% CI: 0.57, 0.99). Baseline DQ did not predict the occurrence of any NCDs or multimorbidity between the ages of 25-45 years. Further well-planned, large prospective studies conducted in young women are needed to explore dietary risk factors before the establishment of NCDs.

Healthy diet associated with better asthma outcomes in elderly women of the French Asthma-E3N study.

PURPOSE: The impact of a healthy diet on asthma prevention and management, particularly among elderly women, remains poorly understood. We investigated whether a healthy diet would be associated with fewer asthma symptoms, and, among women with asthma, with reduced uncontrolled asthma and metabolic-related multimorbidity. METHODS: We included 12,991 elderly women (mean age = 63 years) from the Asthma-E3N study, a nested case-control study within the French E3N cohort. Negative binomial regressions were used to analyse associations between a healthy diet [evaluated by the Alternate Healthy Eating Index-2010 (AHEI-2010)] and a validated asthma symptom score, and logistic regressions to analyse associations between the AHEI-2010 with the asthma control test and multimorbidity profiles previously identified by clustering methods on medications used. RESULTS: After adjustment for potential confounders, a linear inverse association was found between the AHEI-2010 score and the asthma symptom score [mean score ratio (95% CI) = 0.82 (0.75-0.90) for the highest versus lowest quintile; p for trend < 0.0001]. In addition, women in the highest versus lowest AHEI-2010 tertile were at a lower risk to belong to the "Predominantly metabolic multimorbidity-related medications profile" compared to the "Few multimorbidity-related medications" profile [OR 0.80 (0.63-1.00) for tertile 3; p for trend = 0.05; n = 3474]. CONCLUSION: Our results show that a healthy dietary intake could play an important role in the prevention and management of asthma over the life course.

Long-term diet quality and its change in relation to late-life subjective cognitive decline.

BACKGROUND: Evidence regarding the role of diet quality, especially its change, in subjective cognitive decline (SCD) is scarce. OBJECTIVES: We aimed to examine associations of long-term diet quality scores, including the Alternate Mediterranean Diet (AMED), Dietary Approaches to Stop Hypertension (DASH), and Alternate Healthy Eating Index 2010 (AHEI-2010), with SCD in the Nurses' Health Study. METHODS: We followed 49,493 female registered nurses (mean age in 1984: 48 y) from 1984 to 2014. Diet scores were derived from 7 repeated FFQs in 1984, 1986, and every 4 y afterward until 2006. Self-reported SCD was assessed in 2012 and 2014 by a 7-item questionnaire on memory and cognition changes. Categorical SCD score was classified as "none" (0 points, 40.8%), "moderate" (0.5-2.5 points, 46.9%), and "severe" (3-7 points, 12.3%). RESULTS: Multinomial and linear regression models were adjusted for total calorie intake, demographic characteristics, lifestyle, and clinical factors. Comparing the top with the bottom quintiles of AMED, DASH, and AHEI-2010, multivariable-adjusted ORs (95% CIs) for severe SCD compared with none were 0.57 (0.51, 0.64), 0.61 (0.55, 0.68), and 0.81 (0.73, 0.90), respectively. Similar associations remained for the 3 diet indexes evaluated 28 y before SCD assessment. Compared with participants with the lowest diet quality tertiles in both remote and recent years, the lowest odds of severe SCD were observed among those who maintained the highest diet quality tertiles over time, with 40%, 32%, and 20% lower odds of severe SCD for AMED, DASH, and AHEI-2010, respectively. Moreover, the odds of severe SCD were lower among those with improved diets over time; for each SD higher in diet quality change, the reductions in risk were 11% for AMED, 5% for DASH, and 3% for AHEI-2010, respectively. CONCLUSIONS: Our findings support beneficial roles of long-term adherence to, and improvement in, healthy dietary patterns for the maintenance of subjective cognition in women.

Association between diet quality and incident cardiovascular disease stratified by body mass index.

OBJECTIVE: Diet quality is a significant contributor to cardiovascular disease (CVD) development given its substantial influence on important downstream CVD mediators such as weight. However, it is unclear if there are additional pathways between diet quality and incident CVD independent of weight. We sought to determine if higher diet quality was associated with lower CVD risk stratified by BMI categories. METHODS: Prospective cohort data from the Lifetime Risk Pooling Project (LRPP) was analyzed. Diet data from 6 US cohorts were harmonized. The alternative Healthy Eating Index-2010 (aHEI-2010) score was calculated for each participant. Within each cohort, participants were divided into aHEI-2010 quintiles. The primary outcome of interest was composite incident CVD event including coronary heart disease, stroke, heart failure, and CVD death. Cox regression analysis was performed separately for three BMI strata: 18.5-24.9, 25-29.9, and ≥ 30 kg/m2. RESULTS: A total of 30,219 participants were included. During a median follow-up of 16.2 years, there were a total of 7,021 CVD events. An inverse association between aHEI-2010 score and incident CVD was identified among participants who were normal weight (comparing highest quintile with lowest quintile: adjusted hazard ratio [95% confidence interval] 0.57 [0.50 - 0.66]) and among participants with overweight (0.69 [0.61 - 0.77]). aHEI-2010 score was not associated with CVD among participants with obesity (0.97 [0.84 - 1.13]). CONCLUSIONS: Among adults in the United States, higher diet quality as measured by aHEI-2010 was significantly associated with lower risk of incident CVD among individuals with normal weight and overweight but not obesity.

Novel Application of Nutritional Biomarkers From a Controlled Feeding Study and an Observational Study to Characterization of Dietary Patterns in Postmenopausal Women.

Dietary guidance emphasizes healthy dietary patterns, but supporting evidence comes from self-reported dietary data, which are prone to measurement error. We explored whether nutritional biomarkers from the Women's Health Initiative Nutrition and Physical Activity Assessment Study Feeding Study (NPAAS-FS) (n = 153; 2010-2014) and the Women's Health Initiative Nutrition and Physical Activity Assessment Study Observational Study (NPAAS-OS) (n = 450; 2006-2009) could identify biomarker signatures of dietary patterns for development of corresponding regression calibration equations to help mitigate measurement error. Fasting blood samples were assayed for a specific panel of vitamins, carotenoids, and phospholipid fatty acids; 24-hour urine samples were assayed for nitrogen, sodium, and potassium levels. Intake records from the NPAAS-FS were used to calculate Healthy Eating Index 2010 (HEI-2010), Alternative Healthy Eating Index 2010 (AHEI-2010), alternative Mediterranean diet (aMED), and Dietary Approaches to Stop Hypertension (DASH) scores. Scores were regressed on blood and urine nutritional measures for discovery of dietary pattern biomarkers using a cross-validated model R2 ≥ 36% criterion (stage 1). Next, stepwise models (P ≤ 0.10 for entry/removal) using NPAAS-OS data were used to regress stage 1 dietary pattern biomarkers on NPAAS-OS self-reported dietary pattern scores using a food frequency questionnaire, a 4-day food record, and a 24-hour recall (stage 2). HEI-2010 and aMED analyses met the cross-validated R2 ≥ 36% criterion in stage 1, while AHEI-2010 and DASH analyses did not. The R2 values for HEI-2010 stage 2 calibration equations were as follows: food frequency questionnaire, 63.5%; 4-day food record, 83.1%; and 24-hour recall, 77.8%. Stage 2 aMED R2 values were 34.9%-46.8%. Dietary pattern biomarkers have potential for calibrating self-reports to enhance studies of diet-disease associations.

Established diet quality indices are not universally associated with body composition in young adult women.

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

Differences in Diet Quality between School Lunch Participants and Nonparticipants in the United States by Income and Race.

Prior research has shown that participation in the United States' National School Lunch Program (NSLP) is associated with consuming higher-quality lunches and diets overall, but little is known about differences by income and race/ethnicity. This analysis used 24 h dietary recall data from the School Nutrition and Meal Cost Study to examine how NSLP participation affects the diet quality of students in different income and racial/ethnic subgroups. Diet quality at lunch and over 24 h was assessed using the Healthy Eating Index (HEI)-2010, where higher scores indicate higher-quality intakes. HEI-2010 scores for NSLP participants and nonparticipants in each subgroup were estimated, and two-tailed t-tests were conducted to determine whether participant-nonparticipant differences in scores within each subgroup were statistically significant. NSLP participants' lunches received significantly higher total HEI-2010 scores than those of nonparticipants for lower-income, higher-income, non-Hispanic White, and non-Hispanic Black students, suggesting that participating in the NSLP helps most students consume healthier lunches. These significantly higher total scores for participants' lunch intakes persisted over 24 h for higher-income students and non-Hispanic White students but not for lower-income students or students of other races/ethnicities. For NSLP participants in all subgroups, the nutritional quality of their 24 h intakes was much lower than at lunch, suggesting that the positive influence of the NSLP on their overall diet quality was negatively influenced by foods consumed the rest of the day (outside of lunch).

Disparities in the Healthfulness of School Food Environments and the Nutritional Quality of School Lunches.

The Healthy, Hunger-Free Kids Act (HHFKA), a public law in the United States passed in 2010, sought to improve the healthfulness of the school food environment by requiring updated nutrition standards for school meals and competitive foods. Studies conducted since the passage of the HHFKA indicate improvements in the food environment overall, but few studies have examined whether these improvements varied by the socioeconomic and racial/ethnic composition of students in schools. To better understand the extent of disparities in the school food environment after HHFKA, this paper examined differences in the healthfulness of school food environments and the nutritional quality of school lunches by the school poverty level and racial/ethnic composition of students using data from the School Nutrition and Meal Cost Study. Results from chi-square analyses showed lower proportions of high poverty, majority black, and majority Hispanic schools had access to competitive foods, while higher proportions of these schools had a school wellness policy in addition to a district wellness policy. The overall nutritional quality of school lunches, as measured by total Healthy Eating Index (HEI)-2010 scores, did not vary significantly across school types, although some HEI component scores did. From these findings, we concluded that there were disparities in the school food environment based on the socioeconomic and racial/ethnic composition of students in schools, but no significant disparities in the overall nutritional quality of school lunches were found.

The effects of skipping a meal on daily energy intake and diet quality.

OBJECTIVE: To examine whether skipping breakfast or lunch increased the next meal's energy content and changed total daily energy content and the quality of food intake measured by the 2010 Healthy Eating Index (HEI-2010). DESIGN: Means were compared across intake days and meal patterns. Multivariate individual fixed-effects model was used to account for individual food intake and diet quality preferences. SETTING: National Health and Nutrition Examination Survey, 2007-2016. PARTICIPANTS: Adults aged 18 years or older who reported 2 d (24-h periods) of dietary intake and were not pregnant or lactating (n 23 488). RESULTS: Adults consumed 193 more kJ at lunch after skipping breakfast and 783 more kJ at dinner after skipping breakfast and lunch. Skipping at least one meal reduced total daily intake between 1053 (breakfast) and 1464 (dinner) kJ and reduced the daily HEI score. Skipping breakfast or skipping lunch reduced the HEI component scores for fruit, whole grains, dairy and empty energy; skipping lunch reduced the component scores for fruit, vegetables, whole grain, dairy, seafood and plant protein, and empty energy. Skipping dinner reduced component scores for vegetables, greens and beans, dairy, protein food, seafood and plant proteins, and empty energy. Skipping one or more meals increased component scores for total vegetables (breakfast), whole grains (dinner), Na (lunch or dinner) and refined grains (breakfast, lunch or dinner). CONCLUSIONS: Skipping meals (particularly dinner) reduces daily energy intake, but the reduction in daily diet quality (particularly when skipping breakfast) may impact health negatively over time.

Changes in Diet Quality in Youth Living in South Carolina From Fifth to 11th Grade.

OBJECTIVE: To examine diet quality levels and changes in a diverse sample of youth from fifth to 11th grade, and interactions by race/ethnicity and socioeconomic status. DESIGN: Transitions and Activity Changes in Kids prospective cohort study. SETTING: Elementary, middle, and high schools in South Carolina. PARTICIPANTS: A sample of 260 fifth-graders (106 boys and 154 girls) with complete data at baseline and at least 1 time point each in middle school and in high school. MAIN OUTCOME MEASURE: Dietary intake assessed with the Block Food Screener for Kids (last week). Diet quality was assessed using energy-adjusted intakes of 5 food groups. ANALYSIS: Descriptive statistics and growth curve models for the total group and by gender for diet quality from fifth to 11th grade (P < 0.05). RESULTS: Both boys and girls had low levels of diet quality, which continued to decline through 11th grade. Significant main effects by race and poverty as well as a race by poverty interaction were observed. CONCLUSIONS AND IMPLICATIONS: Programs and policies that support healthy dietary patterns in children transitioning from elementary to middle and high school are needed. Specific efforts that focus on nutrition disparities in children from low-income and minority backgrounds are warranted.

Differences in Diet Quality among Multiple US Racial/Ethnic Groups from the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study and the Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: Diet quality is an important risk factor for type 2 diabetes (T2D) and cardiovascular disease (CVD). Little is known about the diet quality of South Asians in the United States, a group with higher rates of T2D and CVD compared with other racial/ethnic groups. OBJECTIVE: This study determined whether diet quality differs between South Asian adults in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study and whites, Chinese Americans, African Americans, and Hispanics in the Multi-Ethnic Study of Atherosclerosis (MESA). METHODS: Cross-sectional data from 3926 participants free of CVD from MESA visit 5 (2010-2011) and 889 South Asian participants from MASALA visit 1 (2010-2013) were pooled. Diet quality was assessed using the Alternative Healthy Eating Index (AHEI-2010) derived using FFQs. Multivariable linear regression models adjusted for age, sex, and total energy intake were used to compare mean differences in diet quality between the racial/ethnic groups. RESULTS: MESA participants were, on average, 14 y older than MASALA participants. The adjusted mean (95% CI) scores for the AHEI-2010 were 70.2 (69.5, 70.9) among South Asians, 66.2 (66.3, 68.2) among Chinese Americans, 61.1 (60.7, 61.6) among whites, 59.0 (58.4, 59.7) among Hispanics, and 57.5 (56.9, 58.1) among African Americans. The mean AHEI scores among South Asians were 3.1 (1.8, 4.3), 9.2 (8.3, 10.1), 11.2 (10.2, 12.3), and 12.8 (11.8, 13.7) points higher compared with Chinese Americans, whites, Hispanics, and African Americans, respectively. CONCLUSIONS: South Asian adults in the United States have a higher diet quality compared with other racial/ethnic groups. This paradoxical finding is not consistent with the observed higher rates of T2D and CVD compared with other groups. This is further evidence of the importance of studying the South Asian population to better understand the causes of chronic disease not explained by diet quality.

Associations between long-term adherence to healthy diet and recurrent depressive symptoms in Whitehall II Study.

PURPOSE: We examined whether long-term adherence to three diet quality scores-the Alternative Healthy Eating Index-2010 (AHEI-2010), Dietary Approach to Stop Hypertension (DASH) and  transformed-Mediterranean Diet Score (tMDS), Alternative Healthy Eating Index-2010 (AHEI-2010) and Dietary Approach to Stop Hypertension (DASH) is associated with the risk of recurrent depressive symptoms. METHODS: Analyses were conducted on a sample of 4949 men and women from the Whitehall II study. Diet scores were calculated using data collected from food frequency questionnaires repeated over 11 years of exposure (1991/1993-2002/2004). Recurrence of depressive symptoms was defined when participants reported at least two episodes of depressive symptoms (assessed by Center for Epidemiologic Studies Depression Scale and use of antidepressants) over the four phases of follow-up (2002/04-2015/16). RESULTS: After adjustment for potential cofounders, higher scores on AHEI-2010, DASH and tMDS at the end of the exposure period were associated with lower risk of recurrent depressive symptoms over the 13-year follow-up. Repeat measures of dietary history showed that participants who maintained a high AHEI-2010 score over the 11-year exposure period had a 19% (OR 0.81, 95% CI 0.65-1.00) lower odds of recurrent depressive symptoms compared to those who maintained a low AHEI score. Participants whose AHEI-2010 score decreased over time had a 1.34-fold increased odds (95% CI 1.02-1.75) of developing recurrent depressive symptoms compared to those maintaining a high AHEI-2010. No robust associations were observed for long-term tMDS and DASH. CONCLUSION: Our findings suggest that long-term adherence to healthy diet defined by Alternative Healthy Eating Index-2010 confers protection against recurrent depressive symptoms.

The Dietary Inflammatory Index® and Alternative Healthy Eating Index 2010 in relation to leucocyte telomere length in postmenopausal women: a cross-sectional study.

Telomeres are nucleoprotein complexes that form the ends of eukaryotic chromosomes where they protect DNA from genomic instability, prevent end-to-end fusion and limit cellular replicative capabilities. Increased telomere attrition rates, and relatively shorter telomere length, is associated with genomic instability and has been linked with several chronic diseases, malignancies and reduced longevity. Telomeric DNA is highly susceptible to oxidative damage and dietary habits may make an impact on telomere attrition rates through the mediation of oxidative stress and chronic inflammation. The aim of this study was to examine the association between leucocyte telomere length (LTL) with both the Dietary Inflammatory Index® 2014 (DII®) and the Alternative Healthy Eating Index 2010 (AHEI-2010). This is a cross-sectional analysis using baseline data from 263 postmenopausal women from the Alberta Physical Activity and Breast Cancer Prevention (ALPHA) Trial, in Calgary and Edmonton, Alberta, Canada. No statistically significant association was detected between LTL z-score and the AHEI-2010 (P = 0·20) or DII® (P = 0·91) in multivariable adjusted models. An exploratory analysis of AHEI-2010 and DII® parameters and LTL revealed anthocyanidin intake was associated with LTL (P < 0·01); however, this association was non-significant after a Bonferroni correction was applied (P = 0·27). No effect modification by age, smoking history, or recreational physical activity was detected for either relationship. Increased dietary antioxidant and decreased oxidant intake were not associated with LTL in this analysis.

Hydration Status: Influence of Exercise and Diet Quality.

Physical activity, adherence to a healthy diet, and healthy beverage pattern are considered essential components of a healthy lifestyle. We aimed to evaluate the associations between physical exercise, diet quality, and total fluid intake, along with fluid recommendations compliance in a sample of adults. Data on fluid intake from different types of beverages were collected in a cross-sectional study, in 1161 men and women between 18 and 65 years of age, using a fluid-specific diary. Exercise was evaluated with a self-reported questionnaire, and quality of diet was assessed using the Healthy Eating Index-2010 (HEI). Mean volume of water consumed was 1497.5 mL for men, 1309.5 mL for women. A total of 37.4% did not follow the recommendations of the European Food Safety Agency for total water intake. There was a statistically significant difference (P = .002) between total water intake and follow-up of recommendations, as well as for sex (P < .001). Mean HEI-2010 score was 65.21. There were no statistically significant differences (P = .301) in HEI index among better or worse hydration. Sport variables had influence on milliliters of water consumed (P < .001). Participants who engaged in more physical exercise exhibit a healthier pattern of fluid intake. Healthy individuals with the highest scores for HEI-2010 did not present the healthiest beverage patterns.

A behavioural economics approach to improving healthy food selection among food pantry clients.

OBJECTIVE: To test the effect of a behavioural economics intervention in two food pantries on the nutritional quality of foods available at the pantries and the foods selected by adults visiting food pantries. DESIGN: An intervention (SuperShelf) was implemented in two food pantries (Sites A and B), with two other pantries (Sites C and D) serving as a control for pantry outcomes. The intervention aimed to increase the amount and variety of healthy foods (supply), as well as the appeal of healthy foods (demand) using behavioural economics strategies. Assessments included baseline and 4-month follow-up client surveys, client cart inventories, pantry inventories and environmental assessments. A fidelity score (range 0-100) was assigned to each intervention pantry to measure the degree of implementation. A Healthy Eating Index-2010 (HEI-2010) score (range 0-100) was generated for each client cart and pantry. SETTING: Four Minnesota food pantries, USA.ParticipantsClients visiting intervention pantries before (n 71) and after (n 70) the intervention. RESULTS: Fidelity scores differed by intervention site (Site A=82, Site B=51). At Site A, in adjusted models, client cart HEI-2010 scores increased on average by 11·8 points (P<0·0001), whereas there was no change at Site B. HEI-2010 pantry environment scores increased in intervention pantries (Site A=8 points, Site B=19 points) and decreased slightly in control pantries (Site C=-4 points, Site D=-3 points). CONCLUSIONS: When implemented as intended, SuperShelf has the potential to improve the nutritional quality of foods available to and selected by pantry clients.

Greenhouse gas emissions, total food spending and diet quality by share of household food spending on red meat: results from a nationally representative sample of US households.

OBJECTIVE: To determine if US household food purchases with lower levels of red meat spending generate lower life-cycle greenhouse gas emissions (GHGE), greater nutritional quality and improved alignment with the Dietary Guidelines for Americans. Affordability of purchasing patterns by red meat spending levels was also assessed. DESIGN: Household food purchase and acquisition data were linked to an environmentally extended input-output life-cycle assessment model to calculate food GHGE. Households (n 4706) were assigned to quintiles by the share of weekly food spending on red meat. Average weekly kilojoule-adjusted GHGE, total food spending, nutrients purchased and 2010 Healthy Eating Index (HEI-2010) were evaluated using ANOVA and linear regression. SETTING: USA.ParticipantsHouseholds participating in the 2012-2013 National Household Food Acquisition and Purchase Survey. RESULTS: There was substantial variation in the share of the household food budget spent on red meat and total spending on red meat. The association between red meat spending share and total food spending was mixed. Lower red meat spending share was mostly advantageous from a nutritional perspective. Average GHGE were significantly lower and HEI-2010 scores were significantly higher for households spending the least on red meat as a share of total food spending. CONCLUSIONS: Only very low levels of red meat spending as a share of total food spending had advantages for food affordability, lower GHGE, nutrients purchased and diet quality. Further studies assessing changes in GHGE and other environmental burdens, using more sophisticated analytical techniques and accounting for substitution towards non-red meat animal proteins, are needed.

Description of the home food environment in Black, White, Hmong, Latino, Native American and Somali homes with 5-7-year-old children.

OBJECTIVE: To categorize the home food environment and dietary intake of young children (5-7 years old) from racially/ethnically diverse households using objectively collected data. DESIGN: Cross-sectional study. SETTING: In-home observations in Minneapolis/Saint Paul, Minnesota, USA. SUBJECTS: Families with 5-7-year-old children who identified as Black, White, Hmong, Latino, Native American or Somali. RESULTS: There were many significant differences by race/ethnicity for child dietary intake and for the home food environment, with specific patterns emerging by race/ethnicity. For example, Somali children had high Healthy Eating Index-2010 (HEI-2010) scores, but low daily intakes of fruits and vegetables. Black children had low HEI-2010 scores and a pattern of low intake of healthful foods and high intake of unhealthful foods. White and Latino families had high levels of both healthful and unhealthful home food availability and children with high HEI-2010 scores. CONCLUSIONS: Results indicate that the home food environment of young children varies across racial/ethnic group. Study findings also provide new information regarding the home food environment of young children in previously understudied racial/ethnic groups and indicate that interventions working to improve the home food environment and dietary intake of children may want to consider race/ethnicity.

Food- and diet-based validations of a Nestlé Nutrient Profiling System for reformulation in two nationally representative surveys.

The Nestlé Nutritional Profiling System (NNPS) has been developed to guide food and beverage reformulation. The WHO published guidelines to develop and validate nutrient profiling systems. The objective was to conduct validation tests of the NNPS following principles of the WHO guidelines. French (Individual and National Survey on food Consumption 2006-2007) and the USA (National Health and Nutrition Examination Surveys 2011-2012) nationally representative dietary surveys were used. NNPS outcomes (PASS, FAIL, out-of-scope) of foods were compared with the validated UK Ofcom nutrient profiling system outcomes. Contributions of NNPS outcomes to energy intakes were compared between diets nutritional quality classes defined by two methods: based on a food-based quality indicator (Programme National Nutrition Santé Guideline Score in France, Healthy Eating Index 2010 in the USA) or on a combination of three nutrient-based indicators (mean adequacy ratio, mean excess ratio and energy density). In both countries, food items with a NNPS FAIL outcome had a lower nutritional quality according to the UK Ofcom, with an overall agreement between the two systems of 75·7 % in France and 68·8 % in the USA. In both countries, a high (respectively, low) contribution of NNPS PASS (respectively, NNPS FAIL) was positively associated with diet healthiness. Absolute associations were stronger between the contribution of NNPS FAIL products and measures of diet healthiness. Foods and beverages reaching NNPS standards appeared to have a higher nutritional quality and would be more likely to contribute to healthier diets, mainly linked to a reduction of nutrients to limit.

Refining and implementing the Food Assortment Scoring Tool (FAST) in food pantries.

OBJECTIVE: Hunger relief agencies have a limited capacity to monitor the nutritional quality of their food. Validated measures of food environments, such as the Healthy Eating Index-2010 (HEI-2010), are challenging to use due to their time intensity and requirement for precise nutrient information. A previous study used out-of-sample predictions to demonstrate that an alternative measure correlated well with the HEI-2010. The present study revised the Food Assortment Scoring Tool (FAST) to facilitate implementation and tested the tool's performance in a real-world food pantry setting. DESIGN: We developed a FAST measure with thirteen scored categories and thirty-one sub-categories. FAST scores were generated by sorting and weighing foods in categories, multiplying each category's weight share by a healthfulness parameter and summing the categories (range 0-100). FAST was implemented by recording all food products moved over five days. Researchers collected FAST and HEI-2010 scores for food availability and foods selected by clients, to calculate correlations. SETTING: Five food pantries in greater Minneapolis/St. Paul, Minnesota, USA. SUBJECTS: Food carts of sixty food pantry clients. RESULTS: The thirteen-category FAST correlated well with the HEI-2010 in prediction models (r = 0·68). FAST scores averaged 61·5 for food products moved, 63·8 for availability and 62·5 for client carts. As implemented in the real world, FAST demonstrated good correlation with the HEI-2010 (r = 0·66). CONCLUSIONS: The FAST is a flexible, valid tool to monitor the nutritional quality of food in pantries. Future studies are needed to test its use in monitoring improvements in food pantry nutritional quality over time.

Prospective association between adherence to dietary recommendations and incident depressive symptoms in the French NutriNet-Santé cohort.

A posteriori healthier dietary patterns and several nutrients have been associated with lower risks of depression in various studies; however, evidence is lacking with regard to the prospective association between adherence to nutritional recommendations (food-based and nutrient-based recommendations) and incident depression or depressive symptoms. In this study, we investigate such associations in the NutriNet Santé cohort. The study sample included 26 225 participants (aged 18-86 years) who were initially free of depressive symptoms. Adherence to nutritional recommendations was measured by four scores namely modified French Programme National Nutrition Santé-Guideline Score (mPNNS-GS), Alternative Healthy Eating Index-2010 (AHEI-2010), Probability of Adequate Nutrient Intake Dietary Score (PANDiet) and Diet Quality Index-International (DQI-I), using non-consecutive dietary record data during the first 2 years of follow-up (mean number of recording days=8, sd 2). Depressive symptoms were defined by a Center for Epidemiologic Studies Depression Scale (CES-D) score ≥17 for men and ≥23 for women. We used Cox proportional hazards models to estimate hazard ratios and 95 % CI, modelling the dietary scores as standardised continuous variables and as tertiles. Over a mean follow-up of 6 years, we identified 2166 incident cases of depressive symptoms. All dietary scores with the exception of the AHEI-2010 were significantly inversely associated with incident depressive symptoms. In the fully adjusted model, an increase of 1 sd in the mPNNS-GS, PANDiet and DQI-I was, respectively, associated with an 8 % (95 % CI 4, 13), 5 % (95 % CI 1, 9) and 9 % (95 % CI 5, 13) reduction in the risk of depressive symptoms. Overall, these findings suggest that diet in accordance with national or international guidelines could have beneficial effects with regard to mental health.