scholarly journals Dietary Protein, Fiber and Coffee Are Associated with Small Intestine Microbiome Composition and Diversity in Patients with Liver Cirrhosis

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1395 ◽  
Author(s):  
Shehnaz K. Hussain ◽  
Tien S. Dong ◽  
Vatche Agopian ◽  
Joseph R. Pisegna ◽  
Francisco A. Durazo ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Diet Quality ◽  
Alpha Diversity ◽  
Healthy Eating Index ◽  
Sequencing Data ◽  
Microbiome Composition ◽  
Coffee Drinking ◽  
Microbial Profile ◽  
Protein Fiber ◽  
Fiber Consumption

The gut microbiome is a key factor in chronic liver disease progression. In prior research, we found that the duodenal microbiome was associated with sex, ethnicity, and cirrhosis complications. Here, we examined the association between diet and the duodenal microbiome in patients with liver cirrhosis. This study included 51 participants who completed a detailed food frequency questionnaire and donated duodenal biopsies for microbiome characterization by 16S ribosomal RNA gene sequencing. Data were analyzed for alpha diversity, beta diversity, and association of taxa abundance with diet quality and components using QIIME 2 pipelines. Diet quality was assessed through calculation of the Healthy Eating Index 2010. Participants with higher adherence to protein recommendations exhibited increased microbial richness and evenness (p = 0.03) and a different microbial profile compared to those with lower adherence (p = 0.03). Prevotella-9 and Agathobacter were increased in association with increased protein adherence. Fiber consumption was also associated with the duodenal microbial profile (p = 0.01), with several taxa exhibiting significantly decreased or increased abundance in association with fiber intake. Coffee drinking was associated with microbial richness and evenness (p = 0.001), and there was a dose–response association between coffee drinking and relative abundance of Veillonella (p = 0.01). We conclude that protein, fiber, and coffee are associated with diversity and composition of the duodenal microbiome in liver cirrhosis.

scholarly journals Fecal Microbial Diversity and Structure Are Associated with Diet Quality in the Multiethnic Cohort Adiposity Phenotype Study

2019 ◽  
Vol 149 (9) ◽  
pp. 1575-1584 ◽  
Author(s):  
Gertraud Maskarinec ◽  
Meredith A J Hullar ◽  
Kristine R Monroe ◽  
John A Shepherd ◽  
Jeani Hunt ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Healthy Eating ◽  
Diet Quality ◽  
Microbial Community Structure ◽  
Alpha Diversity ◽  
Clinic Visit ◽  
Healthy Eating Index ◽  
Dietary Index ◽  
Multiethnic Cohort

ABSTRACT Background Variation in gut microbial community structure is partly attributed to variations in diet. A priori dietary indexes capture diet quality and have been associated with chronic disease risk. Objectives The aim of this study was to examine the association of diet quality, as assessed by the Healthy Eating Index, Alternative Healthy Eating Index-2010, alternate Mediterranean Diet, and the Dietary Approaches to Stop Hypertension Trial, with measures of fecal microbial community structure assessed in the Adiposity Phenotype Study (APS), an ethnically diverse study population with varied food intakes. Methods Multiethnic Cohort Study members completed a validated quantitative food frequency questionnaire (QFFQ) at cohort entry (1993–1996) and, for the APS subset, at clinic visit (2013–2015), when they also provided a stool sample. DNA was extracted from stool, and the V1-V3 region of the 16S rRNA gene was amplified and sequenced. Dietary index scores were computed based on the QFFQ and an extensive nutritional database. Using linear regression adjusted for relevant covariates, we estimated associations of dietary quality with microbiome measures and computed adjusted mean values of microbial measures by tertiles of dietary index scores. Results The 858 men and 877 women of white, Japanese American, Latino, Native Hawaiian, and African American ancestry had a mean age of 69.2 years at stool collection. Alpha diversity according to the Shannon index increased by 1–2% across tertiles of all 4 diet indexes measured at clinic visit. The mean relative abundance of the phylum Actinobacteria was 13–19% lower with higher diet quality across all 4 indexes (difference between tertile 3 and tertile 1 divided by tertile 1). Of the 104 bacterial genera tested, 21 (primarily from the phylum Firmicutes) were positively associated with at least 1 index after Bonferroni adjustment. Conclusion Diet quality was strongly associated with fecal microbial alpha diversity and beta diversity and several genera previously associated with human health.

scholarly journals Diet Quality, Gut Microbiome and Metabolism

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1148-1148
Author(s):  
Minoo Bagheri ◽  
Jonathan D Mosley ◽  
Jane F Ferguson
Keyword(s):  
Amino Acids ◽  
Fatty Acids ◽  
Diet Quality ◽  
Gut Microbiome ◽  
Unsaturated Fatty Acids ◽  
Healthy Eating Index ◽  
Polar Lipids ◽  
Future Research ◽  
Omega 3 ◽  
Microbiome Composition

Abstract Objectives Dietary pattern is associated with circulatory and gut metabolome variation. However, it is unclear if this association is mediated by gut microbiome composition. We investigated whether the interaction between diet quality and gut microbiome influenced circulatory and gut metabolites. Methods We conducted a cross-sectional study among 75 healthy adults in the ABO Study. Diet quality was assessed using the Healthy Eating Index (HEI). Metabolome profiling (800 circulatory and 767 gut metabolites) was performed at Metabolon Inc. Two gut microbiome Enterotypes (1 and 2) were identified using the Partitioning Around Medoids method. Metabolite set enrichment analysis was performed using Metaboanalyst 4.0. Multivariable linear regression was conducted to test for an interaction between the gut microbiome-HEI and metabolite levels. Results Diet quality was significantly higher in participants with Enterotype 2, compared to those with Enterotype 1 (P = 0.01). The gut microbiome-HEI interaction (Enterotype 2 and higher HEI) was directly related to omega-3/omega-6 poly-unsaturated fatty acids (PUFAs) and acetyl/acyl derivatives of amino acids. It was inversely linked to polar lipids including 1-palmitoyl-2-linoleoyl-GPC (16:0/18:2), which demonstrated the most significant association (β = 0.008, P = 0.0009) among circulatory metabolites. Considering gut metabolome, however, the interaction directly associated with metabolites involved in DNA synthesis including thymidine 5′-monophosphate, which showed the strongest association (β = 0.041, P = 0.0007), and bile acids derivatives. It inversely associated with fatty acids and branch chain amino acids. ‘Glycine and serine metabolism’ was the only pathway that was significantly enriched by the interaction (P = 0.044). Conclusions Future research is warranted; however, these findings suggest that the efficacy of dietary interventions targeted at altering metabolism (the metabolism of lipids (PUFAs and polar lipids), amino acids and nucleotides) may be dependent on gut microbiome composition. Funding Sources The National Institutes of Health.

scholarly journals Healthy Eating Index, Genomics and Metabolomics; Insights into the Mechanisms Driving Dietary Pattern to Metabolic Disorders

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 506-506
Author(s):  
Minoo Bagheri ◽  
Rachana D Shah ◽  
Jonathan D Mosley ◽  
Jane F Ferguson
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Cross Sectional Study ◽  
Healthy Eating Index ◽  
Nucleotide Polymorphisms ◽  
Cross Sectional ◽  
Microbiome Composition ◽  
Beta Alanine ◽  
Funding Sources ◽  
Caffeine Metabolism

Abstract Objectives Higher diet quality measured by healthy eating index (HEI) is associated with improved metabolic function, however the molecular basis remains unclear. We assessed associations between HEI and the metabolome in plasma and stool and explored interaction between genotype and HEI on circulating and gut metabolites. Methods We analyzed data from heathy individuals recruited to a single cross-sectional study visit (ABO Study, N = 75). HEI score was calculated from food frequency questionnaire. Metabolites in plasma (n = 800) and stool (n = 767) were measured at Metabolon Inc. Genotyping was performed by Exome chip (Illumina, CoreExome, N > 540,000 variants). Multivariable linear regression was used to assess the association of HEI score with metabolites adjusting for age, sex and body mass index. Plasma associations were replicated in the Fish oils and Adipose Inflammation Reduction (FAIR) study (N = 29). Metaboanalyst 4.0 was used to determine metabolic pathways. The interaction of single nucleotide polymorphisms (SNPs) and HEI on metabolites was tested using Plink. Results Metabolites in plasma (n = 74) and stool (n = 77) were associated with the HEI index (P < 0.05). One metabolite (N-acetyl-beta-alanine) overlapped between plasma (B = 0.003, P = 0.035) and stool (B = 0.008, P = 0.02). Glycine replicated between ABO (B = −0.001, P = 0.02) and FAIR studies (B = −0.01, P = 0.02). In plasma there was significant pathway enrichment in glycerophospholipid metabolism, glycine, serine-threonine metabolism and caffeine metabolism. In stool, histidine and caffeine metabolism pathways were significantly enriched. Significant (Pinteraction <5 × 10−8) interactions were observed between HEI and multiple independent SNPs for metabolites including circulating Valylleucine and gut Sedoheptulose-7-phosphate. Conclusions Diet quality, measured by HEI, is associated with differences in plasma and stool metabolites. The observed associations might aid understanding the link between food patterns and metabolic health outcomes. Further, our data support gene-nutrient interactions between HEI and SNPs contributing to plasma and gut metabolomic profiles. Future work will explore the relationship between HEI and gut microbiome composition. Funding Sources This project was supported by the National Institutes of Health.

Long-term Association between Diet Quality and Characteristics of the Gut Microbiome in the Multiethnic Cohort Study

2021 ◽  
pp. 1-29
Author(s):  
Erica Ma ◽  
Gertraud Maskarinec ◽  
Unhee Lim ◽  
Carol J. Boushey ◽  
Lynne R. Wilkens ◽  
...  
Keyword(s):  
Diet Quality ◽  
Gut Microbiome ◽  
Alpha Diversity ◽  
Healthy Eating Index ◽  
Shannon Index ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Multiethnic Cohort

Abstract As past usual diet quality may affect gut microbiome (GM) composition, we examined the association of the Healthy Eating Index (HEI)-2015 assessed 21 and 9 years before stool collection with measures of fecal microbial composition in a subset of the Multiethnic Cohort. A total of 5,936 participants completed a validated quantitative food frequency questionnaire (QFFQ) at cohort entry (Q1, 1993-96), 5,280 at follow-up (Q3, 2003-08), and 1,685 also at a second follow-up (Adiposity Phenotype Study (APS), 2013–16). All participants provided a stool sample in 2013-2016. Fecal microbial composition was obtained from 16S rRNA gene sequencing (V1-V3 region). HEI-2015 scores were computed based on each QFFQ. Using linear regression adjusted for relevant covariates, we calculated associations of HEI-2015 scores with gut microbial diversity and 152 individual genera. The mean HEI-2015 scores increased from Q1 (67±10) to Q3 (71±11) and APS (72±10). Alpha diversity assessed by the Shannon Index was significantly higher with increasing tertiles of HEI-2015. Of the 152 bacterial genera tested, seven (Anaerostipes, Coprococcus_2, Eubacterium eligens, Lachnospira, Lachnospiraceae_ND3007, Ruminococcaceae_UCG-013, and Ruminococcus_1) were positively and five (Collinsella, Parabacteroides, Ruminiclostridium_5, Ruminococcus gnavus, and Tyzzerella) were inversely associated with HEI-2015 assessed in Q1, Q3, and APS. The estimates of change per unit of the HEI-2015 score associated with the abundance of these 12 genera were consistent across the three questionnaires. The quality of past diet, assessed as far as ˜20 years before stool collection, is equally predictive of GM composition as concurrently assessed diet, indicative of the long-term consistency of this relation.

scholarly journals Dietary Patterns and Gut Microbiome Composition in a Large Population-Based Cohort

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 514-514
Author(s):  
Zhangling Chen ◽  
Djawad Radjabzadeh ◽  
Arfan Ikram ◽  
Andre Uitterlinden ◽  
Robert Kraaij ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Diet Quality ◽  
Gut Microbiome ◽  
Linear Models ◽  
Large Population ◽  
Alpha Diversity ◽  
Population Based ◽  
Shannon Index ◽  
Food Groups ◽  
Microbiome Composition

Abstract Objectives Effects of diet on health and disease risk may be mediated by changes in gut microbiome composition. Our aim was to examine associations between intake of food groups and overall diet quality with gut microbiome composition in a large population-based cohort. Methods We analyzed data of 1130 participants (median age 57 years) from the Rotterdam Study, a population-based cohort study in the Netherlands. We measured dietary intake using a 389-item FFQ, and assessed adherence to dietary guidelines for 14 food groups and combined into a diet quality score. We assessed gut microbiome composition using 16S rRNA gene sequencing. Data were available for 11 phyla, 19 classes, 25 orders, 44 families, and 184 genera. Alpha diversity was quantified by Shannon index and Richness, and beta diversity was qualified by Bray-Curtis distance. We used linear models to examine associations with Shannon index and Richness, Adonis function to examine variations of Bray-Curtis distance, and Multivariate Association with Linear Models to examine associations with gut microbial communities. Models were adjusted for technical covariates, energy intake, age, sex, physical activity, education, smoking and BMI. Results After adjustment, higher diet quality was associated with more alpha diversity and explained part of the variation in beta diversity (P < 0.001). Overall diet quality was associated with relative abundance of four families (Erysipelotrichaceae, Ruminococcaceae, Lachnospiraceae, Christensenellaceae), and 15 genera (Torques group, RuminococcaceaeUCG002, RuminococcaceaeUCG003, RuminococcaceaeUCG005, RuminococcaceaeUCG010, Xylanophilum group, Blautia, RuminococcaceaeNK4A214 group, Eligens group, Coprococcus3, Senegalimassilia, Lachnospira, Halliigroup, ChristensenellaceaeR7 group, Ventriosum group) (adjusted p: q < 0.05). Results were not explained by any single food group. Higher intake of fruits, vegetables, whole grains, and tea, and lower intake of red meat and alcohol were all related to microbiome composition. Replication analyses are ongoing. Conclusions Better overall diet quality may improve overall gut microbial diversity. Furthermore, diet quality may influence abundance of certain gut microbial communities, several of which have previously been linked to lower risk of metabolic and inflammatory diseases. Funding Sources N/A.

scholarly journals Drastic Effects on the Microbiome of a Young Rower Engaged in High-Endurance Exercise After a Month Usage of a Dietary Fiber Supplement

2021 ◽  
Vol 8 ◽  
Author(s):  
Mariliis Jaago ◽  
Uku Siim Timmusk ◽  
Tõnis Timmusk ◽  
Kaia Palm
Keyword(s):  
Dietary Fiber ◽  
Real Life ◽  
Young Athlete ◽  
Alpha Diversity ◽  
Well Being ◽  
High Energy ◽  
Intestinal Microbiome ◽  
Sequencing Analysis ◽  
Microbiome Composition ◽  
Fiber Consumption

Food supplements are increasingly used worldwide. However, research on the efficacy of such supplements on athlete's well-being and optimal sports performance is very limited. This study performed in junior academic rowing explores the effects of nutritional supplements to aid to the high energy requirements at periods of intense exercise. Herein, the effects of prebiotic fibers on the intestinal microbiome composition of an 18-year-old athlete exercising at high loads during an 8-month period in a “real-life” setting were examined using next-generation sequencing analysis. Results demonstrated that although the alpha diversity of the subject's microbiome drastically decreased [from 2.11 precompetition to 1.67 (p < 0.05)] upon fiber consumption, the Firmicutes/Bacteroidetes ratio increased significantly [from 3.11 to 4.55, as compared with population average (p < 0.05)]. Underlying these macrolevel microbial alterations were demonstrable shifts from acetate- to butyrate-producing bacteria, although with stable effects on the Veillonella species. To our knowledge, this a unique study that shows pronounced changes in the gut microbiome of the young athlete at the competition season and their favorable compensation by the dietary fiber intake. The data here expand the overall understanding of how the high energy needs in high-intensity sports like academic rowing could be supported by dietary fiber supplement consumption.

scholarly journals Associations of Maternal Sociodemographic Characteristics and Eating Behaviors with Infant Feeding Behaviors

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1046-1046
Author(s):  
Tonja Nansel ◽  
Leah Lipsky ◽  
Carolina Schwedhelm ◽  
Breanne Wright ◽  
Chelsie Temmen ◽  
...  
Keyword(s):  
Infant Feeding ◽  
Diet Quality ◽  
Maternal Education ◽  
Healthy Eating Index ◽  
Fruit And Vegetables ◽  
Infant Food ◽  
Food Groups ◽  
Feeding Behaviors ◽  
White Race ◽  
Maternal Characteristics

Abstract Objectives This study examines associations of maternal characteristics with infant feeding of discretionary and health-promoting foods. Methods Mothers in PEAS, a prospective cohort study, reported maternal and child dietary intake, demographics, and eating competence (EC). Maternal diet quality (Healthy Eating Index-2015, HEI) was calculated combining 24-hour diet recalls at 6 weeks, 6, and 12 months postpartum (n = 209). Infant food frequency questionnaires were completed at 6, 9, and 12 months, assessing age of introduction and intake frequency of food groups. T-tests examined bivariate associations of demographics with feeding of discretionary sweets, discretionary savory foods, fruit, and vegetables. Linear regressions examined associations of maternal EC and HEI with infant feeding controlling for demographics. Results Fruit, vegetables, discretionary sweet, and discretionary savory foods were introduced at 5.8 ± 1.7, 5.9 ± 1.7, 8.0 ± 2.0, and 8.8 ± 1.8 months, respectively. Earlier introduction of fruit and vegetables was associated with higher maternal education, white race, and nulliparity; earlier introduction of vegetables was also associated with higher income. Age of introduction of discretionary sweet and savory foods was not associated with maternal demographics, HEI, or EC. At age 12 months, greater infant intake frequency of fruit and vegetables was associated with higher education and income, white race, and breastfeeding, while greater intake frequency of discretionary sweet and savory foods was associated with lower maternal education and minority race. Greater intake frequency of sweets was also associated with multiparity and greater intake frequency of discretionary savory foods was associated with lower income. Maternal HEI was positively associated with infant intake frequency of fruit, vegetables, and discretionary sweet and savory foods. Maternal EC was positively associated with infant intake frequency of fruit and vegetables. Conclusions Demographic differences in infant feeding behaviors indicates these behaviors as critical intervention targets to address disparities in child diet quality. Associations of maternal HEI and EC with infant feeding behaviors suggest potential pathways of maternal influence on infant diet. Funding Sources This research was supported by the NICHD Intramural Research Program.

scholarly journals Diet quality in relation to the risk of hypertension among Iranian adults: cross-sectional analysis of Fasa PERSIAN cohort study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amir Motamedi ◽  
Maryam Ekramzadeh ◽  
Ehsan Bahramali ◽  
Mojtaba Farjam ◽  
Reza Homayounfar
Keyword(s):  
Blood Pressure ◽  
Cohort Study ◽  
Diet Quality ◽  
Dietary Diversity ◽  
Antihypertensive Drugs ◽  
Healthy Eating Index ◽  
Cross Sectional ◽  
Common Chronic Disease ◽  
History Of ◽  
Prevention Of Hypertension

Abstract Background Hypertension is a common chronic disease with various complications and is a main contributing factor to cardiovascular disease (CVD). This study aimed to assess the association of diet quality, assessed by dietary diversity score (DDS), Mediterranean dietary score (MDS), diet quality index-international (DQI-I), and healthy eating index-2015 (HEI-2015) with the risk of hypertension. Methods This study recruited a total of 10,111 individuals (45.14% male) with mean age of 48.63 ± 9.57 years from the Fasa Cohort Study, Iran. Indices of diet quality, including MDS, HEI-2015, DQI-I, and DDS were computed by a 125-item Food Frequency Questionnaire. Participants were diagnosed as hypertensive if they had a diastolic blood pressure (DBP) ≥90 mmHg, systolic blood pressure (SBP) ≥140 mmHg,, or used antihypertensive drugs. Results Hypertension was prevalent in 28.3% of the population (21.59% in males and 33.74% in females). In the whole population, after adjustment for potential covariates, including daily energy intake, age, gender, physical activity, smoking, family history of hypertension, body mass index, and the level of education, higher adherence to the MDS (OR: 0.86, 95%CI = 0.75–0.99) and HEI-2015 (OR: 0.79, 95%CI = 0.68–0.90) was significantly associated with decreased risk of hypertension. The protective effect of HEI-2015 against hypertension remained significant for both males (OR: 0.80, 95%CI = 0.64–0.99) and females (OR: 0.78, 95%CI = 0.66–0.94), while, for MDS, this relationship disappeared in the subgroup analysis by gender. DQI-I and DDS were not related to the odds of hypertension. Conclusions Adhering to MDS and HEI-2015 diets could contribute to the prevention of hypertension.

scholarly journals Effect of a High-Intensity Dietary Intervention on Changes in Dietary Intake and Eating Pathology during a Multicomponent Adolescent Obesity Intervention

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1850
Author(s):  
Hollie A. Raynor ◽  
Suzanne E. Mazzeo ◽  
Jessica Gokee LaRose ◽  
Elizabeth L. Adams ◽  
Laura M. Thornton ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Diet Quality ◽  
Dietary Intervention ◽  
Secondary Data ◽  
Obesity Treatment ◽  
Healthy Eating Index ◽  
Eating Pathology ◽  
Post Treatment ◽  
Eating Disorder Examination

Concerns remain about dietary changes during pediatric obesity treatment and eating pathology, which have not been investigated. This secondary data analysis from a randomized clinical trial examined associations between adolescents’ changes in energy intake and diet quality during obesity treatment with post-treatment eating pathology. Adolescents (N = 82: 13.7 ± 1.2 y, 34.9 ± 7.0 kg/m2, 63.4% female, 46.3% black) received TEENS+, a 4-month multicomponent intervention. TEENS+ provided individualized dietary goals (1200–1800 kcal/day; number of “Go” foods/day (low-energy, high-nutrient-dense foods)). At 0 and 4 months, 3-day food records assessed energy intake and diet quality (Healthy Eating Index 2015 (HEI-2015)). Two HEI-2015 subscores were created: components to increase (increase), and components to limit (decrease). The Eating Disorder Examination Questionnaire measured eating pathology (total score and subscales: restraint; and eating, weight, and shape concern). Corrected p-values are reported as q-values. Energy intake decreased (−292 ± 418 kcal/day; q < 0.001), while diet quality improved during treatment (total HEI-2015 (4.5 ± 15.1; q = 0.034) and increase (3.3 ± 9.4; q = 0.011)). Restraint increased (+0.6 ± 1.4; q < 0.001), whereas shape (−0.5 ± 1.3; q = 0.004) and weight (−0.5 ± 1.4; q = 0.015) concerns decreased. Greater decreases in energy intake were associated with greater restraint post-treatment (F = 17.69; q < 0.001). No other significant associations were observed. Changes in adolescents’ dietary intake during obesity treatment were unrelated to increased shape, weight, or eating concerns post-treatment.

scholarly journals Caregiver Status and Diet Quality in Community-Dwelling Adults

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1803
Author(s):  
Sharmin Hossain ◽  
May A. Beydoun ◽  
Michele K. Evans ◽  
Alan B. Zonderman ◽  
Marie F. Kuczmarski
Keyword(s):  
Diet Quality ◽  
Healthy Aging ◽  
Healthy Eating Index ◽  
Community Dwelling ◽  
Rate Of Change ◽  
Least Square ◽  
Inverse Association ◽  
Linear Regression Models ◽  
Middle Aged ◽  
Cross Sectional

Objective: We investigated cross-sectional and longitudinal associations of diet quality with middle-aged caregiver status. Methods: Caregiving in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (57.7% women, 62% African American (AA)) was measured at waves 3 (2009–2013) and 4 (2013–2017) (mean follow-up time 4.1 years). Diet quality was assessed by the Healthy Eating Index 2010 (HEI-2010) derived from two separate 24 h diet recalls. Multivariable ordinary least square regression was performed for cross-sectional analyses of the association of wave 4 caregiving with wave 4 HEI-2010. Wave 3 caregiving was examined both cross-sectionally and with annual rate of change in HEI using mixed-effects linear regression Models. Multivariable models were adjusted for age, sex, and poverty status. Results: Cross-sectional analyses at wave 4 demonstrate an inverse association of frequent caregiving (“Daily or Weekly” vs. “Never”) for grandchildren with HEI-2010 total score (i.e., lower diet quality) among Whites (β = −2.83 ± 1.19, p = 0.03, Model 2) and AAs (β = −1.84 ± 0.79, p = 0.02,). The “cross-sectional” analysis pertaining to grandchildren caregiving frequency suggested that frequent caregiving (i.e., “Daily or Weekly” vs. “Never” (β = −2.90 ± 1.17, p = 0.04)) only among Whites was inversely related to HEI-2010 total score. Total HEI-2010 score was also related to caring (Model 1), for the elderly over “5 years vs. Never” among Whites (−7.31 ± 3.54, p = 0.04, Model 2). Longitudinally, we found slight potential improvement in diet quality over time (“Daily or Weekly” vs. Never by TIME interaction: +0.88 ± 0.38, p = 0.02) with frequent caregiving among Whites, but not so among AAs. Conclusions: Frequent caring for grandchildren had an inverse relationship with the diet quality of White and AA urban middle-aged caregivers, while caring for elderly was inversely linked to diet quality among Whites only. Longitudinal studies should address the paucity of research on caregivers’ nutritional quality.

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