Mean HEI Research Articles

Assessing the longitudinal association between sleep, diet quality and BMI z-score among Black adolescent girls.

Cross-sectional research has suggested associations between diet, sleep and obesity, with sparse longitudinal research. To identify longitudinal mechanistic associations between sleep, diet and obesity. We used longitudinal data from a sample of Black adolescent girls. At T1 (enrolment), 6 months (T2) and 18 months (T3), we estimated sleep duration and quality (7-day accelerometry), diet quality (Healthy Eating Index [HEI-2020]) and body mass z-scores (zBMI) from measured height and weight. Longitudinal mediation using structural equation models examined the mechanistic roles of sleep, diet quality and zBMI. At enrolment, girls (n = 441) were mean age 12.2 years (±0.71), 48.3% had overweight/obesity, and mean HEI 55.8 (±7.49). The association between sleep and diet quality did not vary over time. Sleep duration at T1 was not associated with diet quality at T2 nor was diet associated with zBMI at T3. The bootstrapped indirect effect was not significant. Sleep quality at T1 was not associated with diet quality at T2 nor was diet associated with zBMI at T3. The bootstrapped indirect effect was not significant. Diet was not a mediator between sleep and obesity. Study strengths are the longitudinal design and direct measures of sleep and zBMI among a homogeneous sample.

Reduction in menopause symptom severity following a personalised app-based dietary intervention program: a pre-post longitudinal analysis of the ZOE PREDICT 3 study

Digital health technologies delivering dietary and lifestyle advice1,2 may offer a contemporary approach to menopause symptom mitigation in a large population base3. This study aimed to evaluate alterations in both diet quality and menopause symptom burden following the implementation of an app-based, personalised dietary intervention in peri- and postmenopausal participants.Baseline and follow-up data (mean follow-up time, 207 ± 72 days) on diet, menopause symptom number (from 20 vasomotor, sexual, psychological and somatic symptoms), symptom severity (0-not at all, 1-a little, 3-quite a bit and 5-extremely) and other characteristics of 4,287 UK based participants of the ZOE PREDICT 3 study (1,000 perimenopausal and 3,287 postmenopausal) were analysed (NCT04735835). Dietary assessment was performed through an app-based food frequency questionnaire (PREDICT-FFQ)2 and diet quality assessed using the Healthy Eating Index-2020 (HEI, score 0-100)4. A novel Menopause Symptom Tracker Score (MSTS 0-100, Copyright © 2024 Zoe Limited) was used to capture symptom number and severity.There was a modest increase in diet quality after the intervention in both peri- and postmenopausal participants; mean HEI from 76.4 ± 8.4 to 79.7 ± 6.8 (P<0.001) and from 78.7 ± 7.8 to 81.1 ± 6.4 (P<0.001), respectively. Baseline MSTS was higher in peri- versus postmenopausal participants 28.9 ± 15.1 vs. 18.1 ± 15.0 (P<0.001). However, both groups showed a significant decrease in mean MSTS after the intervention compared to baseline; mean change (95%CI) in perimenopausal was -8.7 (-9.5, -7.9; 30.1% reduction) and in postmenopausal was -6.6 (-6.9, -6.2; 36.5% reduction) (P for both <0.001).The reduction in the overall MSTS was greater in perimenopausal compared to postmenopausal (P<0.001). Reductions in domain-specific MSTS for peri- and postmenopausal groups respectively, were as follows: vasomotor −0.56 (−0.71, −0.40; 24.9% reduction) and −0.47 (−0.54, −0.41; 31.8% reduction), sexual −0.72 (−0.87, −0.57; 18.6%) and -1.08 (-1.16, −0.99; 28.7%), psychological -2.3 (-2.5, 2.0; 35.0%) and -1.2 (-1.3, -1.1; 44.2%), somatic -5.1 (-5.6, -4.7; 31.5%) and -3.8 (-4.0, -3.6; 37.5%) (P for all <0.001). The reduction in the psychological and somatic domain-specific MSTS was greater in peri-compared to postmenopausal group (P for both <0.001).This study supports the potential of personalised app-based dietary interventions in the mitigation of menopausal symptoms during menopause transition and its potential to affect the health and quality of life of millions. Further studies should investigate their efficacy in a randomised, controlled dietary intervention setting.

Maternal Bean Consumption during Pregnancy: Distribution and Nutritional Outcomes

(1) Background: Due to their high nutritional value, we aimed to characterize the frequency and amount of maternal consumption of beans during pregnancy and their associations with diet quality and nutrient intake. (2) Methods: We conducted a secondary data analysis of US pregnant women (n = 1444) from the Infant Feeding Practices Study II, a longitudinal study that followed mother–infant pairs from late pregnancy to 1 year postpartum. Maternal bean intake (food types [dried beans, chili, and bean soup], frequency, serving size, and amount), diet quality (Healthy Eating Index [HEI]), and nutrient intake were estimated with a Food Frequency Questionnaire taken in the third trimester of pregnancy. Associations of bean consumption with diet quality and nutrient intake were examined with analysis of variance, Fisher’s least significant difference tests, correlation coefficients, and coefficients of determination. (3) Results: In general, maternal bean consumption was low during pregnancy: 0.31 cups/week of dried beans, 0.37 cups/week of chili, and 0.10 cups/week of bean soup. Maternal bean consumption varied by socio-demographics and geographic regions. In comparison with those who never consumed dried beans, mothers who ate dried beans ≥ 1 time per week had a higher mean HEI score (67.5 vs. 63.6), intake of total fiber (24.4 vs. 17.4 g/day), and protein (93.4 vs. 79.9 g/day), but a lower percentage of energy from added sugar (12.6 vs. 15.2%). Higher dried bean consumption had weak-to-moderate correlations with intake of total fiber (correlation coefficient, 0.320), insoluble fiber (0.316), soluble fiber (0.310), and folate (0.286). Similar but less extensive correlations were observed for chili and bean soup consumption. (4) Conclusions: In this US cohort of pregnant women, bean consumption was low. Increased intake of beans (≥1 time per week) may improve maternal diet quality during pregnancy.

The association between self-reported nocturnal sleep duration, irregularity in daily energy intake and diet quality in a sample of Iranian adults.

Evidence on the relationship between sleep duration and irregularity in daily energy intake with diet quality in Iranian adults is scarce. We aimed to evaluate the association of sleep duration with diet quality and irregularity in daily energy intake. This is a cross-sectional study. The study was performed in healthcare centres in Tehran. 739 adults aged 20-59 years were recruited. Dietary intake was assessed by a FFQ and three 24-h dietary recalls. Diet quality was assessed using the Healthy Eating Index-2015 (HEI-2015). An irregularity score of daily energy intake was calculated based on the deviation from the 3-d mean energy intake. Sleep duration was estimated using self-reported nocturnal sleep duration by each person. The mean age of the study participants was 44·4 ± 10·7 years; 70 % were women. The mean nocturnal sleep duration, HEI score and irregularity score were 6·7 ± 1·22 h/d, 52·5 ± 8·55 and 22·9 + 19, respectively. After adjusting for potential confounders, sleep duration was not associated with adherence to HEI-2015 (OR: 1·16; 95 % CI 0·77, 1·74). Longer sleep duration was marginally associated with a lower odd of irregularity in daily energy intake. However, after adjustment for various confounders, this association was not significant (OR: 0·82; 95 % CI 0·50, 1·33; Ptrend = 0·45). No significant interaction was observed between sleep duration and irregularity in daily energy intake in relation to adherence to HEI-2015 (Pinteraction = 0·48). We found that sleep duration was not associated with adherence to HEI-2015 and irregularity in daily energy intake. Further prospective studies are warranted.

Healthy Eating Index-2015 in relation to risk of metabolic dysfunction-associated fatty liver disease among US population: National Health and Nutrition Examination Survey 2017-2018.

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a serious chronic disease in the US. Dietary patterns provide good guidance for the prevention of chronic diseases. The Healthy Eating Index (HEI-2015) is a dietary pattern based on the dietary characteristics of the US. Since the relation between HEI-2015 and MAFLD is unclear, this study examined their associations using the US National Health and Nutrition Examination Surveys (NHAENS) during 2017-2018. This study included data from 4,062 participants aged ≥20 years, without viral hepatitis or pregnancy. MAFLD is defined as hepatic steatosis with one or more of the following: (1) overweight or obesity (body mass index ≥25 kg/m2); (2) type 2 diabetes; or (3) two or more other metabolic risk abnormalities. HEI-2015 scores were calculated from food intake information collected by the 24-h meal review method. The relationship of HEI-2015 with MAFLD was calculated using survey-weighted logistic regression analysis after adjusting for sex, age, race, education level, smoking status, alcohol use, levels of C-reactive protein, Aspartate Aminotransferase, Alanine Aminotransferase, a body shape index, minutes of sedentary activity, levels of cholesterol and glucose, energy take, drugs use, hypertension, and diabetes. When compared to the study population with no MAFLD, the patients with MAFLD showed a lower weighted mean HEI (48.0 ± 0.6). HEI-2015 was inversely associated with MAFLD in the fully adjusted model [Q4 vs. Q1, OR = 0.567 (0.407-0.790), P = -0.002]. Among the 13 HEI-2015 components, total vegetables, greens and beans, total fruits, whole fruits, and whole grains were negatively associated with MAFLD, while added sugars were positively associated with MAFLD. This inverse association was consistent in subgroups of the participants stratified by sex, age, education level, race, body shape index, minutes of sedentary activity, hypertension, and diabetes. A higher HEI-2015 is associated with a lowered risk of MAFLD which is more obvious among participations who were women, young, Mexican Americans, with higher education, and with no hypertension or diabetes.

Adherence, Compliance, and Diet Quality Among Popular Diet Followers

Objectives1. To compare diet quality of vegan, vegetarian, paleo, and whole-food plant-based (WFPB) diets; 2. To examine how adherence varies by diet and relates to quality and diet duration; 3. To examine how compliance varies by diet and relates to quality, adherence, and duration. MethodsAnalysis was conducted on a subsample of ADAPT participants (n = 1392) who completed a demographics and food frequency questionnaire (FFQ; DHQ-II). After excluding implausible energy intake (600 ≤ KCAL < 5,000), the final sample was 1291 (vegan [n = 355]; vegetarian [n = 90]; WFPB [n = 710]; paleo [n = 136]). Diet quality was measured with HEI and AHEI. Duration was categorized as short [<2 years (n = 501)]; moderate [2 to <7 y (n = 200)]; and long-term [7–10 + y (n = 592)]. A self-report adherence score was derived from questions targeting commitment to diet, ranging from 0–32. Compliance score for each diet was derived from reported intakes and DHQ-II (i.e., diet-specific restrictions), and data were %-based standardized. Models were adjusted for age and sex; select models were adjusted for diet duration. ResultsMean (SD) HEI score was high in all plant-based diets, highest for WFPB 76.7(5.8), vegan 75.7 (6.5), vegetarian 72.6 (9.2), compared to paleo 62.5 (8.5); and with a similar ranking for AHEI. Vegans had highest mean adherence 23.5 (2.8) and paleos the lowest 20.0 (3.3). Vegetarians had highest mean compliance 71% (9) and WFPB lowest 53% (10). Compliance was positively associated with HEI score for WFPB and vegan with one percentage point of compliance associated with a 6.4-point increase in HEI for WFPB (SE ± 2, p < .004) and 17.1 for vegan (SE ± 4, p < .0001). For every point increase in compliance, adherence improved (5.4 ± 0.8, p < .0001) in the full sample, and by diet group. Diet duration was significantly associated with adherence in all but vegetarian. No relationship was observed between duration and compliance within diet. ConclusionsWFPB and vegan diets had the highest diet quality; all four had higher mean HEI than reported average in US adults (HEI = 59). Findings suggest that even imperfect compliance to plant-based diets is associated with greater diet quality. Diet adherence is a complex component of eating behavior, however reported adherence appears to predict higher compliance and longer maintenance. Funding SourcesUSDA Cooperative Agreements; NIFA National Needs Fellowship.

The Relationship between Diet and Suicide Risk and Resilience in Wildland Firefighters

Objectives1) To determine the nutrient intake and diet quality of wildland firefighters (WLFF); 2) to determine the relationship between diet quality and mental health indices (e.g., anxiety, depression, post-traumatic stress, suicidality) among WLFF. MethodsThis cross-sectional study involved a convenience sample of 37 WLFF recruited via social media from across the US. Dietary intake was assessed via 24-hour recall entered into nutrient analysis software and scored using the Healthy Eating Index 2015 (HEI) for diet quality. Mental health was assessed using several indices for suicidality, anxiety, depression, hopelessness, and alcohol use. Nutrient intake and HEI scores were compared to current US adult intake patterns from the National Health and Nutrition Examination Survey (NHANES). Relationships between HEI scores and mental health indices were determined using Pearson correlation coefficients. ResultsMean (± standard deviation) age was 40.0 ± 11.7 years and 87.1% of participants were Caucasian with body mass index of 28.1 ± 4.5 kg/m2. Mean HEI score was 52.5 ± 14.8 out of 100, 10.6% lower than the US adult population. Added sugar, refined grains, and total protein all had scores between 81–100/100, indicating adequate intake. Total HEI, saturated fat, total vegetable, and sodium scores were between 51–80/100, indicating need for improvement. Seafood/plant protein, dairy, whole grains, and total fruit scores were between 0–50/100, indicating poor intake. Relationships between HEI scores and mental health indices were significant, moderate, and inverse (beneficial) for total HEI, dark greens and legumes, and fatty acid ratio scores with Alcohol Use Disorder Identification Test, Generalized Anxiety Disorder 7-item, and Patient Health Questionnaire. ConclusionsDiet quality for the diets of WLFF is lower than the US adult population, in significant need of improvement, and potentially impacting mental health status. Funding SourcesNot applicable.

Maternal Dry Bean Consumption During Pregnancy: Distribution and Nutritional Outcomes

ObjectivesDry beans and other pulses have a high nutritional profile. We aimed to characterize the frequency and amount of maternal dry bean consumption during pregnancy and their associations with diet quality and nutrient intake.MethodsWe conducted a secondary data analysis of pregnant women (N = 1,403) from the Infant Feeding Practices Study II, a longitudinal study that followed mother-infant pairs from late pregnancy until 6 years postpartum. Maternal dry bean consumption (frequency and amount), diet quality (Healthy Eating Index [HEI]), and nutrient intake were estimated with a Food Frequency Questionnaire completed in the third trimester of pregnancy. Associations of dry bean consumption with dietary quality and nutrient intake were examined with Analysis of Variance, Tukey's HSD pairwise comparisons, and determination coefficients.ResultsMothers in the analytic sample were mainly White (83.5%), college educated (78.9%), and had middle household income (55.1% ≥ $40,000). Overall, maternal dry bean consumption was low (0.3 cups/week) during pregnancy, with 92% not meeting the current recommendation (1–3 cups/week). Maternal dry bean consumption significantly varied by race/ethnicity and geographic regions with mothers of Hispanics and Asian or living in South Central regions having relatively high consumption. Compared with never-consumers, mothers who consumed dry beans ≥ 1 time per week had a higher mean HEI score (67.5 vs 63.6), intake of total fiber (24.4 vs 17.4 g/d), and protein (93.4 vs 79.9 g/d), but a lower percentage of energy (12.6 vs 15.2%) from added sugar. Higher amount of dry bean consumption had a substantial contribution to the variation in intake of total fiber (determination coefficient, 10.3%), insoluble fiber (10.0%), soluble fiber (9.6%), and folate (8.2%).ConclusionsDry bean consumption was low during pregnancy. Consumption of dry beans ≥ 1 time per week might help to improve maternal diet quality.Funding SourcesUSDA (to XW and TR).

Fruit and vegetable intake is inversely associated with severity of inattention in a pediatric population with ADHD symptoms: the MADDY Study

ABSTRACT Objectives: Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder with a U.S. pediatric prevalence of 8–10%. It presents with inattention and hyperactivity/impulsivity; frequently associated with emotional dysregulation (ED) symptoms common in Oppositional Defiant Disorder and Disruptive Mood Dysregulation Disorder. The etiology of ADHD is multi-factorial; symptom severity is associated with diet. This study examines the association of diet quality with ADHD and ED symptoms within a pediatric research cohort. Methods: Baseline data were analyzed for 134 children aged 6–12 years with symptoms of ADHD and ED enrolled in an RCT of multinutrient supplementation. Diet quality was based on Healthy Eating Index-2015 (HEI-2015). ADHD and ED symptoms were assessed using Child and Adolescent Symptom Inventory-5 and Strengths and Difficulties Questionnaire. Linear regression models, adjusting for covariates when necessary, determined association. Results: The mean HEI Total Score of 63.4 (SD = 8.8) was not significantly associated with any outcome symptoms. However, after adjusting for covariates, HEI component scores for total fruit intake (β = −0.158, p = .037) and total vegetable intake (β = −0.118, p = .004) were negatively associated with inattention. Conclusions: The lack of association with total diet quality could be explained by the relatively good baseline diet quality and mild symptom severity in this sample, along with measurement error from dietary intake estimates and relatively small sample size. These findings suggest that dietary intake may impact inattention in children with ADHD and ED: those eating less fruits and vegetables were likely to have more severe symptoms of inattention. Causality is not established by this cross-sectional analysis.

Few Differences in Energy Intake and Diet Quality of Children and Adolescents across BMI Categories, with and without Accounting for Underreporters: NHANES 2005–2014

Previous studies of the relationship between energy intake and child weight have shown mixed results and have largely not described differences in diet quality or the impact of underreporting. The objective of this study was to investigate the relationship between dietary intake and childhood obesity by assessing energy intake and diet quality across BMI categories for 2–19-year-old children before and after excluding underreporters. Energy intake and the Healthy Eating Index 2010 (HEI) were studied for 2–19-year-old children using data from 2005–2014 NHANES. Underreporters were defined as children consuming &lt;100% of their predicted resting energy expenditure (REE) and were excluded from some analyses. There were no statistically significant differences in HEI scores across weight categories; mean HEI total score was 47.1 (SE 0.23) out of a possible 100. When considering all 12–19-year-old children, those in the overweight, obesity, and severe obesity categories had a lower mean energy intake than children in the healthy weight category (p &lt; 0.001). Excluding underreporters, 6–11-year-old children in the overweight, obesity, and severe obesity categories had a higher energy intake than healthy weight children (p &lt; 0.001). In both analyses, children in the overweight, obesity, and severe obesity categories reported consuming a lower % REE than healthy weight children. Diet quality in all children is low, and the relationship between reported energy intake and BMI remains complex. Healthy eating messages should target all children.

Impact of Recent Job Loss on Sleep, Energy Consumption and Diet.

Adequate sleep and self reported dietary recall data from the Assessing Daily Activity Patterns through Occupational Transitions (ADAPT) study was analysed. Primary sleep indices used were total sleep time, time spent in bed after final awakening, and sleep quality as measured by the Daily Sleep Diary (DSD). Mean Energy consumption (MEC) was the primary nutritional index. Secondary indices included diet quality using the Health Eating Index 2015 (HEI), and self-reported intake of protein, carbohydrates and fats. The study participants were comprised mainly of women (61%) and non-Hispanic white. The participants had at least 2 years of college education and mean body mass index of 30.2±8.08 (kg/m 2). The average time in bed was 541.8 (9.0 hrs) ±77.55 minutes and total sleep time was 461.1 (7.6 hrs) ±56.49 minutes. Mean sleep efficiency was 91±6%, self-reported sleep quality was 2.40±0.57 (0-4 scale, 4 = very good), and minutes earlier than planned morning awakening were 14.36±24.15. Mean HEI score was 47.41±10.92. Although the MEC was below national average for both men and women, male sex was associated with higher MEC. In a fully adjusted model sleep quality was positively associated with MEC. Daily overall assessments of sleep quality among recently unemployed persons were positively associated with mean energy consumption. Additionally, the diet quality of unemployed persons was found to be unhealthier than the average American and consistent with the relationship between poor socioeconomic status and lower diet quality.

Associations between advertisement-supported media exposure and dietary quality among preschool-age children

Foods of low nutritional quality are heavily marketed to children, and exposure to food ads shapes children's preferences and intake towards advertised foods. Whether food ad exposure independently relates to an overall lower diet quality among children remains unclear. We examined the association between ad-supported media use, a proxy for food ad exposure, and diet quality using the baseline data (2014–2015) from 535 3-5-year-olds in a community-based cohort study. Parents reported their child's dietary intake over 3 days via a diary, and diet quality was assessed with the Healthy Eating Index (HEI-2015) where higher scores reflect greater adherence to USDA dietary guidelines. Children's media exposure was measured through online parent surveys. Mean HEI score was 54.5 (SD = 9.4). In models adjusted for sociodemographic characteristics and metrics of parent diet quality, children's HEI scores were 0.5 points lower (adjusted beta = −0.5 [95% CI: 0.8, −0.1]; P < 0.01) for each 1-h increment in weekly viewing of ad-supported children's TV networks. Children's use of media that may have food ads (e.g., apps, online games) also related to a lower diet quality yet to a lesser extent (adjusted beta −0.2 [-0.2, −0.1]; P < 0.01). In contrast, children's ad-free media use was not associated with diet quality (P = 0.21). Findings support the premise that exposure to food advertisements via media may result in a lower quality diet among children independently of other risk factors.

Associations Between Maternal Nutrition in Pregnancy and Child Blood Pressure at 4–6 Years: A Prospective Study in a Community-Based Pregnancy Cohort

The intrauterine environment may influence offspring blood pressure, with effects possibly extending into adulthood. The associations between prenatal nutrition and offspring blood pressure, alone or in combination with other sociodemographic or behavioral factors, are unclear. To investigate the associations of maternal dietary patterns and plasma folate concentrations with blood pressure in children aged 4-6 years, and assess the potential effect modifications by child sex, maternal race, pre-pregnancy overweight or obesity, maternal smoking, and breastfeeding. Participants were 846 mother-child dyads from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) study. Maternal nutrition was characterized by the Healthy Eating Index 2010 (HEI) scores and plasma folate concentrations in pregnancy. We calculated the systolic blood pressure (SBP) and diastolic blood pressure percentiles, incorporating sex, age, and height, and categorized children as either having high blood pressure (HBP; ≥90th percentile) or normal blood pressure. Linear regressions were performed to quantify the associations between maternal nutrition and continuous blood pressure percentiles, and Poisson regressions were used to estimate the incidence rate ratio (IRR) of binary HBP. We examined the effect modifications using interaction models. Mean HEI scores and folate concentrations were 60.0 (SD, 11.3) and 23.1ng/mL (SD, 11.1), respectively. Based on measurements at 1 visit, 29.6% of the children were defined as having HBP. Maternal HEI scores and plasma folate concentrations were not associated with child blood pressure percentiles or HBP in the full cohort. Among mothers self-identified as white, there was an inverse relationship between maternal HEI score and child SBP percentile (β, -0.40; 95%CI: -0.75 to -0.06). A maternal HEI score above 59 was associated with a reduced risk of HBP in girls (IRR, 0.53; 95% CI: 0.32-0.88). No modified associations by pre-pregnancy overweight or obesity, maternal smoking, or breastfeeding were indicated. We found little evidence for effects of maternal nutrition during pregnancy on childhood blood pressure, but detected sex- and race-specific associations. The study contributes to the evolving scientific inquiry regarding developmental origins of disease.

Awareness and Use of Nutrition Information Predict Measured and Self-Rated Diet Quality of Older Adults in the United States - ERRATUM.

Objectives: To examine: (1) diet quality of older adults, using the Healthy Eating Index 2010 (HEI-2010) and self-rated diet quality, (2) characteristics associated with reported awareness and use of nutrition information and (3) factors associated with HEI score and self-rated diet quality. Design: Cross-sectional study. Based on Day 1 and/or Day 2 dietary recalls, the Per-Person method was used to estimate HEI-2010 component and total scores. T-tests and ANOVA were used to compare means. Logistic and linear regressions were used to test for associations with diet quality, controlling for potential confounders. Setting: National Health and Nutrition Examination Survey, 2009–2014. Participants: Three thousand and fifty-six adults, aged 60 years and older, who completed at least one 24-h recall and answered questions on awareness and use of nutrition information. Results: Mean HEI score for men was significantly lower than for women (56·4 ± 0·6 v. 60·2 ± 0·6, P < 0·0001). Compared with men, more women were aware of (44·8 % v. 33·7 %, P < 0·05) and used (13·7 % v. 5·9 %, P < 0·05) nutrition information. In multivariable analyses, awareness and use of nutrition information were significant predictors of both HEI and self-rated diet quality for both women and men. Groups with lower nutrition awareness included men, non-Whites, participants in nutrition assistance programmes and those with lower education and socio-economic status. Conclusions: Nutrition awareness and use of nutrition information are associated with diet quality in adults 60 years and older. Gaps in awareness of dietary guidelines in certain segments of the older adult population suggest that targeted education may improve diet quality for these groups.

Association of Dietary Quality, Inflammatory Markers, and Physical Functioning among Older Female Cancer Survivors

One area within geriatric oncology that is understudied and undertreated is the dietary quality of older cancer survivors. Most older adults with cancer experience nutritional deficits due to their age and cancer treatment. Research has shown the impact of competing comorbidities, polypharmacy, and decline in functional and cognitive status on older adults’ nutritional needs. This study sought to examine the diet quality of older female cancer survivors, and its association with inflammatory markers and physical functioning. Participants completed surveys online, by mail, or phone. Additional participant information was obtained through medical records. Descriptive statistics, Pearson’s correlations, forward linear regressions were used to analyze these data. Older female cancer survivors (≥65) that had completed their initial cancer treatment in the past 5 years were recruited through cancer clinic visits and medical records. The study was conducted from November 2018 through January 2020. Self-reported physical functioning (RAND-36), diet quality (DHQ-II, HEI-2015), and BMI were obtained from surveys. Participant diagnosis, comorbidities, and inflammatory marker (c-reactive protein (CRP)) were obtained through electronic medical records; albumin was collected as a marker correlated with inflammation. The average age of participants (n = 171) was 73.6 ± 8.4 years. Mean physical functioning score was 60 ± 24 out of 100. Mean total HEI scores were 66.39 + 10.0 out of 100. Positive correlations were observed between total HEI scores and physical functioning, self-rated health, albumin, education, and income. Negative correlations were observed between physical functioning and BMI, self-rated health, albumin, and age. Regressions indicated that individuals who had higher HEI scores were more likely to report higher physical functioning (β = 0.38, P < 0.001). Identifying dietary quality and markers to overall assess inflammation is pertinent to improve the long-term health of cancer survivors. The strong correlations between physical function, HEI, and albumin demonstrates the relationship albumin has with inflammation and its subtle impact it can have on older cancer survivors. Along with CRP, serum albumin should be interpreted in the context of the patient’s overall health. Future larger cohort studies of older cancer survivors with longitudinal measurements are warranted.

Feasibility of using a computerized food frequency questionnaire (FFQ) to assess dietary patterns in patients with advanced gastrointestinal (GI) malignancies.

465 Background: Identification of poor dietary patterns is important for the optimal management of patients with metastatic GI malignancies who suffer from high rates of malnutrition and sarcopenia which are associated with increased rates of treatment-related toxicity and worsened survival. Dietary records or recall methods and FFQs are available but have high patient burden and are seldom utilized in oncology settings outside of formal nutritional consultations. Thus, we evaluated the feasibility of conducting serial assessments of dietary patterns using a novel computerized FFQ technology. Methods: Assessments of diet using the computerized FFQ, nutritional status (NUTRISCORE), QOL and anorexia/cachexia burden (FAACT), anxiety/depression (HADS) and taste burden were done at the time of initiation of first-line chemotherapy (baseline) and 3 months later. The FFQ was done independently either at home on personal computer after visit or via iPad in infusion room. Dietary quality was defined by the Healthy Eating Index 2010 (HEI) score, which was automatically calculated by the computerized FFQ software. Feasibility was defined as at least 70% of patients completing baseline and 3-month assessments. Spearman’s correlations were used to determine associations between measures. Results: 29 patients with advanced (metastatic or unresectable) GI cancers were enrolled and 23 completed the baseline FFQ (8 colorectal, 5 pancreas, 5 gastroesophageal, 5 other). Median age was 58 (20-78) with M:F ratio of 10:13. The overall completion rate of baseline and 3-month assessments was 81.8%, meeting the pre-defined feasibility criteria. The mean baseline HEI score was 65 (range 38-88). Of patients who completed both baseline and 3-month assessments, the mean HEI score remained stable at 58 with changes in specific HEI components including a 20% decline in the seafood and plant protein score and a 13% decline in the whole grain score and small improvements in other areas (e.g. empty calories, dairy). There were no significant correlations between baseline HEI score and other assessments. Conclusions: It is feasible to use a computerized FFQ to assess for longitudinal changes in eating patterns and dietary quality in patients with advanced GI cancers, particularly when patients can complete the assessments during chemotherapy infusions. Preliminary findings also suggest that the FFQ can be helpful for highlighting areas in which diet quality could be improved. Additional analysis of other computerized FFQ data (e.g. macro/micronutrient consumption) is ongoing.

Diet Quality Is Lower for Those Who Skip Lunch Among a Sample of Predominantly Black Adolescents.

To compare the dietary quality among adolescents who skip lunch and those who do not and explore associations between school-level variables, demographic variables and lunch skipping. Cross-sectional. Public schools in New Orleans, Louisiana (n = 21). 718 adolescents. Adolescents participated in a 24-hour dietary recall using the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool early in 2013. Data were converted into Healthy Eating Index (HEI-2010) scores. Mean scores were compared between students who skipped lunch and those who did not. A multilevel analysis was conducted to assess relationships between school environment, demographics, and lunch skipping. Of the 718 respondents, 88.3% were Black and 15.3% skipped lunch. Students who ate lunch had a mean HEI score of 46.6 compared to a mean score of 41.7 for students who skipped lunch (p < .001). Students who skipped lunch also had significantly lower intake of total vegetables (p = .02), whole fruits (p < .001), total dairy (p = .003), total protein (p < .001). Skipping lunch was associated with lower quality diet, though diet quality was low among all students. Considering over 15% of the sample did not eat lunch in a closed-campus school setting, further research should consider how to encourage students to participate in the National School Lunch Program, which has the ability to increase diet quality in adolescents.

Sociodemographic and Psychosocial Factors Associated With Diet Quality in 6 Rural Native American Communities

ObjectiveTo identify psychosocial and household environmental factors related to diet quality among Native Americans (NA). DesignAnalysis of baseline data from a community-randomized obesity prevention trial. SettingSix rural NA communities in the Midwest and the Southwestern US. ParticipantsA total of 580 tribal members, aged 18–75 years old (mean 45 years), 74% female, self-identified as the main household food purchaser. Variables MeasuredDiet quality (Healthy Eating Index–2015 [HEI]) was derived from a semiquantitative food frequency questionnaire. Sociodemographic, psychosocial, and home food environment factors were assessed via interviewer-administered questionnaires. AnalysisOne-way ANOVA, linear regression models, and 2-tailed t tests compared HEI scores among sociodemographic categories. Multiple linear regression models assessed the relationship between psychosocial factors, home food environment, and HEI. ResultsPrevalence of obesity was 59%. Mean HEI–2015 score was 49.3 (SD = 8.1). Average HEI scores were 3.0 points lower in smokers than nonsmokers (P < 0.001), and 2.2 points higher in females than males (P < 0.01). Higher self-efficacy (β = 0.97; P < 0.001) and healthier eating intentions (β = 0.78; P < 0.001) were positively associated with HEI. Healthier household food patterns score was associated with higher HEI (β = 0.48; P < 0.01). Conclusions and ImplicationsPsychosocial factors were associated with diet quality, a finding that supports the use of social-cognitive intervention approaches in rural NA communities in the Midwest and Southwest, and warrants evaluation in other locations. There remains a need to elucidate the association between the Food Distribution Program on Indian Reservations and diet quality.

Awareness and use of nutrition information predict measured and self-rated diet quality of older adults in the USA.

To examine: (1) diet quality of older adults, using the Healthy Eating Index 2010 (HEI-2010) and self-rated diet quality, (2) characteristics associated with reported awareness and use of nutrition information and (3) factors associated with HEI score and self-rated diet quality. Cross-sectional study. Based on Day 1 and/or Day 2 dietary recalls, the Per-Person method was used to estimate HEI-2010 component and total scores. T-tests and ANOVA were used to compare means. Logistic and linear regressions were used to test for associations with diet quality, controlling for potential confounders. National Health and Nutrition Examination Survey, 2009-2014. Three thousand and fifty-six adults, aged 60 years and older, who completed at least one 24-h recall and answered questions on awareness and use of nutrition information. Mean HEI score for men was significantly lower than for women (56·4 ± 0·6 v. 60·2 ± 0·6, P < 0·0001). Compared with men, more women were aware of (44·8 % v. 33·7 %, P < 0·05) and used (13·7 % v. 5·9 %, P < 0·05) nutrition information. In multivariable analyses, awareness and use of nutrition information were significant predictors of both HEI and self-rated diet quality for both women and men. Groups with lower nutrition awareness included men, non-Whites, participants in nutrition assistance programmes and those with lower education and socio-economic status. Nutrition awareness and use of nutrition information are associated with diet quality in adults 60 years and older. Gaps in awareness of dietary guidelines in certain segments of the older adult population suggest that targeted education may improve diet quality for these groups.

P159 Participant Characteristics in a Community-Based Diabetes Education Program for South Asians

Background Type 2 diabetes is highly prevalent among South Asians/Asian Indians (AI) in the US, but standard Diabetes Self-Management Programs (DSMP) do not address AI's cultural characteristics. There is a gap of knowledge about AI's nutrition- and healthcare-related behaviors that are likely to influence diabetes outcomes. Objective To describe nutrition and diabetes care-related characteristics of AI who participate in DSMP. Study Design, Setting, Participants Cross-sectional baseline data were collected through group-administered surveys among 40 AI adults prior to participating in community-based DSMP in New Jersey in 2019. Anthropometric data were measured by trained research staff. Measurable Outcome/Analysis DHQ III semi-quantitative food frequency questionnaire and Healthy Eating Index 2015 (HEI) were used to measure dietary quality; Asian food preference at home was also collected. Diabetes care behaviors included measures such as 10-item diabetes self-efficacy scale, 4-item health distress scale (range: 0-5), 3-item scale for communications with doctors (range: 0-5), and 4-item social role-diabetes interference scale (range: 0-4). Body weight/height (BMI) and waist circumference (WC) were used to characterize weight status. Descriptive results were calculated using IBM SPSS Statistics. Results Most (83%) of the participants’ BMIs were in overweight/obese category (mean: 27.9 ± 4.7); 80% of participants had high risk WC. Mean HEI score (37.9 ± 13.7), intake of fruits (1.1 cups ± 1.6/d), vegetables (1.5 cups ± 1.4/d), and fiber (14.9g ± 13.8/d) were below recommended levels; 80% of participants preferred mostly/exclusively Asian foods at home. Diabetes self-efficacy was moderately high (mean: 7.4 ± 1.9); means for health distress (1.5 ± 1.3) and social role interference (1.7 ± 2.6) scores were moderately low, and communication (with doctors) score was 2.9 ± 1.2. Conclusions These results indicate a need to improve weight status and dietary quality, which are potential risk factors for type 2 diabetes. Future education programming should be tailored to address Asian dietary intake preferences and include strategies to improve health distress, social role interference, and communication with healthcare providers. Results will be used for culturally appropriate curriculum development and implementation for AI.