Abstract MP42: Adherence To Healthy Dietary Patterns In Pregnancy And Placental Dna Methylation- An Epigenome Wide Association Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Cuilin Zhang ◽  
Jing Wu ◽  
Marion Ouidir ◽  
Stefanie Hinkle ◽  
Fasil Ayele
Keyword(s):  
Dna Methylation ◽  
Dietary Patterns ◽  
First Trimester ◽  
Healthy Eating Index ◽  
Nervous System Development ◽  
Dietary Quality ◽  
Analysis Tool ◽  
Linear Regression Models ◽  
Cpg Sites ◽  
In Pregnancy

Background: Accumulating evidence support the intergenerational impacts of diet in pregnancy. The underlying mechanisms, however, remain unclear. Placental epigenetic mechanisms may be involved although data from human epidemiological studies are sparse. We aimed to investigate associations of dietary quality in pregnancy with epigenome-wide placental DNA methylation in a multiracial pregnancy cohort. Methods: DNA methylation was measured using the Illumina Infinium Human Methylation450 Beadchip on placentas obtained at delivery from 301 pregnant women who participated in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort. Dietary information during periconception and early first trimester was collected using food frequency questionnaires, and diet in the second and third trimester was collected using a 24-hour dietary recall during four study visits. Scores for adherence to three healthy dietary patterns, alternate Healthy Eating Index (aHEI), alternate Mediterranean Diet (aMED), and Dietary Approaches to Stop Hypertension (DASH), were calculated. For associations of each dietary pattern score with methylation, we conducted analyses using robust linear regression models after the adjustment for age, pre-pregnancy body mass index, race/ethnicity, physical activity, total energy intakes, and population stratification. Genes annotating the top significant CpG sites (false discovery rate (FDR) adjusted P<0.05) were queried for enrichment of functional pathways using the Ingenuity Pathway Analysis tool. Results: Adherence to aHEI was significantly associated with methylation of 8 CpG sites, with the most significant association manifested in cg16724319- MDH1B (P=1.9x10 -10 ). Adherence to aMED was related to methylation of 14 CpG sites, with the most significant association manifested in cg07835181- CLCN7 (P=1.7x10 -11 ). DASH was significantly related to 33 CpG sites, with the most significant association manifested in cg26292547- REV3L (P=4.4x10 -10 ). Further, genes annotating the significant CpG sites were enriched in pathways related to cardiovascular and nervous system development and function, cancer, organismal injury and abnormalities, and reproductive system diseases. Conclusion: Findings from the epigenome wide study suggest that overall dietary quality in pregnancy is associated with placental DNA methylation changes at different loci potentially related to cardiovascular, neurological, reproductive, and cancer phenotypes.

scholarly journals Birthweight DNA methylation signatures in infant saliva

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Chiara Moccia ◽  
Maja Popovic ◽  
Elena Isaevska ◽  
Valentina Fiano ◽  
Morena Trevisan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cord Blood ◽  
Gestational Age ◽  
Low Birthweight ◽  
Continuous Variable ◽  
Linear Regression Models ◽  
Association Analyses ◽  
Cpg Sites ◽  
Adverse Health Outcomes ◽  
The Look

Abstract Background Low birthweight has been repeatedly associated with long-term adverse health outcomes and many non-communicable diseases. Our aim was to look-up cord blood birthweight-associated CpG sites identified by the PACE Consortium in infant saliva, and to explore saliva-specific DNA methylation signatures of birthweight. Methods DNA methylation was assessed using Infinium HumanMethylation450K array in 135 saliva samples collected from children of the NINFEA birth cohort at an average age of 10.8 (range 7–17) months. The association analyses between birthweight and DNA methylation variations were carried out using robust linear regression models both in the exploratory EWAS analyses and in the look-up of the PACE findings in infant saliva. Results None of the cord blood birthweight-associated CpGs identified by the PACE Consortium was associated with birthweight when analysed in infant saliva. In saliva EWAS analyses, considering a false discovery rate p-values < 0.05, birthweight as continuous variable was associated with DNA methylation in 44 CpG sites; being born small for gestational age (SGA, lower 10th percentile of birthweight for gestational age according to WHO reference charts) was associated with DNA methylation in 44 CpGs, with only one overlapping CpG between the two analyses. Despite no overlap with PACE results at the CpG level, two of the top saliva birthweight CpGs mapped at genes associated with birthweight with the same direction of the effect also in the PACE Consortium (MACROD1 and RPTOR). Conclusion Our study provides an indication of the birthweight and SGA epigenetic salivary signatures in children around 10 months of age. DNA methylation signatures in cord blood may not be comparable with saliva DNA methylation signatures at about 10 months of age, suggesting that the birthweight epigenetic marks are likely time and tissue specific.

Abstract P109: Plasma Metabolomic Signature Of Healthy Dietary Patterns In The Chronic Renal Insufficiency Cohort (CRIC) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Hyunju Kim ◽  
Cheryl A Anderson ◽  
Emily A Hu ◽  
Zihe Zheng ◽  
Lawrence J Appel ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Healthy Eating ◽  
Dietary Patterns ◽  
Healthy Eating Index ◽  
Plasma Metabolites ◽  
Dietary Intakes ◽  
Linear Regression Models ◽  
Omega 3 ◽  
Double Bonds ◽  
Disease Associations

Introduction: In individuals with chronic kidney disease (CKD), healthy dietary patterns are inversely associated with CKD progression. Metabolomics, an approach which measures many small molecules in biofluids, can identify biomarkers of healthy dietary patterns and elucidate metabolic pathways underlying diet-disease associations. Hypothesis: We hypothesized that adherence to 4 healthy dietary patterns would be associated with a set of known metabolites in CKD patients. Methods: We examined associations between 634 plasma metabolites assessed using the Broad platform at year 1 and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, and alternate Mediterranean diet (aMED), and their food components in 1,117 participants in the CRIC Study. Usual dietary intakes were assessed using a food frequency questionnaire at baseline and year 2. We conducted multivariable linear regression models to study associations between diet scores and individual plasma metabolites, adjusting for sociodemographic characteristics, health behaviors, and clinical factors. Results: After Bonferroni correction, we identified a total of 362 diet-metabolite associations (HEI=78; AHEI=127; DASH=97; aMED=60), and 101 metabolites were associated with more than 1 dietary pattern. The most common metabolite categories were triacylglycerols and diacylglycerols. Most lipids were negatively associated with healthy dietary patterns, except for cholesterols esters and triacylglycerols with ≥7 double bonds. Triacylglycerols with high number of double bonds were positively associated with healthy fat intake (e.g., higher monounsaturated and polyunsaturated fatty acid, omega-3 fatty acid, fish) within HEI, AHEI, and aMED ( Table ). Conclusions: We identified many metabolites associated with healthy dietary patterns, indicative of food consumption. If replicated, they may be considered biomarkers of healthy dietary patterns in CKD patients.

scholarly journals The Relationship Between the Frequency of Meals Consumed Away-From-Home on the Total Diet Quality and Weight Status

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 248-248
Author(s):  
Ana Moyeda Carabaza ◽  
Phrashiah Githinji ◽  
Bong Nguyen ◽  
Mary Murimi
Keyword(s):  
Fatty Acids ◽  
Dietary Fiber ◽  
Diet Quality ◽  
Trans Fatty Acids ◽  
Weight Status ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Linear Regression Models ◽  
Saturated Fats ◽  
Total Diet

Abstract Objectives To assess factors that contribute to the total diet quality and the associated body mass index (BMI) among adults. Methods A cross-sectional study was conducted to assess dietary quality using the Healthy Eating Index (HEI)-2015 among faculty and staff (N = 152) of a public university. The Food Frequency Questionnaire from the Health and Retirement Study was administered via Qualtrics. Dietary quality was determined using the HEI-2015. Weight, height, number of meals consumed away-from-home per week were self-reported. Descriptive statistics were used to analyze demographic characteristics, number of meals consumed away-from-home, dietary intake, and associated HEI score was calculated. Linear regression models were used to measure associations between the total diet quality, nutrient intakes and the number of away-from-home meals consumed with BMI. Results The average age of participants was 34.3 ± 12.3 years. A majority were female and white Americans (74.3%) and had post-secondary education (79.6%). Approximately, one-third of participants (32.2%) reported having a BMI equal or greater than 30 kg/m2. More than half of the participants exceeded the recommended limit for the consumption of saturated fats (69.7%), and sodium (52.6%); and a majority did not meet the minimum recommended intakes of dietary fiber (96.1%). The average HEI score was 66.34 on a 100-point scale. Only 14.5% had a good dietary quality with a HEI score equal or higher than 80. The number of away-from-home meals consumed per week were associated with an increased intake of trans fatty acids (P &lt; .05), while, increased the consumption of trans fatty acids was associated with an increase in BMI (P &lt; .001) in this study. On the contrary, an increase in the HEI score was associated with a reduction in BMI (P &lt; .05). Conclusions This study found that a high percentage of participants had a low diet quality that was characterized by excessive intake of both saturated fats and sodium and inadequate intake of dietary fiber. In addition, the consumption of meals away-from-home was associated with an increase in the amount of trans fatty acids consumed. Concurrently, the consumption of trans fatty acids was associated with an increase in BMI. These results underscore the importance of eating meals prepared at home in an effort to control weight gain. Funding Sources TTU Transdisciplinary Research Academy.

scholarly journals Early Pregnancy Peripheral Blood DNA Methylation and Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study

2021 ◽  
Author(s):  
Xiaolei Wang ◽  
Jin Huang ◽  
Sisi Long ◽  
Huijun Lin ◽  
Na Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Dna Methylation ◽  
Peripheral Blood ◽  
Case Control Study ◽  
Methylation Status ◽  
First Trimester ◽  
Case Control ◽  
Cpg Sites ◽  
Nested Case Control ◽  
Control Study

Abstract Introduction: Genome-wide DNA methylation profiling has been used to identify CpG sites relevant to gestational diabetes mellitus (GDM). However, these sites have not been verified in larger samples. Here, our aim was to evaluate the changes in target CpG sites in the peripheral blood of pregnant women with GDM in their first trimester. Research Design and Methods: This nested case-control study examined a large cohort of women with GDM in early pregnancy (10–15 weeks; n = 80). Target CpG sites were extracted from related published literature and bioinformatics analysis. The DNA methylation levels at 337 CpG sites located in 27 target genes were determined using MethylTarget™ sequencing. The best cut-off levels for methylation of CpG sites were determined using the generated ROC curve. The independent effect of CpG site methylation status on GDM was analyzed using conditional logistic regression. Results Methylation levels at 6 CpG sites were significantly higher in the GDM group than in controls, whereas those at 7 CpG sites were significantly lower (P < 0.05). The area under the ROC curve at each methylation level of the significant CpG sites ranged between 0.593 and 0.650 for GDM prediction. After adjusting for possible confounders, the hypermethylation status of candidate sites cg68167324 (OR = 3.168, 1.038–9.666) and cg24837915 (OR = 5.232, 1.659–16.506) was identified as more strongly associated with GDM; conversely, the hypermethylation of sites cg157130156 (OR = 0.361, 0.135–0.966) and cg89438648 (OR = 0.206, 0.065–0.655) might indicate lower risk of GDM. Conclusions The methylation status of target CpG sites in the peripheral blood of pregnant women during the first trimester is associated with GDM pathogenesis, and has potential as a predictor of GDM.

scholarly journals Serum Metabolites Associated with Healthy Dietary Patterns in Middle-Aged US Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 535-535
Author(s):  
Hyunju Kim ◽  
Emily Hu ◽  
Bing Yu ◽  
Lyn Steffen ◽  
Sara Seidelmann ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Dietary Patterns ◽  
Healthy Eating Index ◽  
Untargeted Metabolomics ◽  
Dietary Intakes ◽  
Linear Regression Models ◽  
Omega 3 ◽  
Middle Aged ◽  
Serum Metabolites ◽  
Dash Diet

Abstract Objectives Healthy dietary patterns are recommended for health promotion. Metabolomics can be used to identify objective biomarkers of healthy dietary patterns, which has the potential to improve dietary assessment. We used metabolomics to identify serum metabolites associated with healthy dietary patterns and the components within these dietary patterns in middle-aged US adults. Methods We evaluated known metabolites associated with 4 dietary patterns [Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, Mediterranean diet (aMED)] and their components using untargeted metabolomics in two subsamples (N1 = 1864; N2 = 2091) of the Atherosclerosis Risk in Communities Study. Dietary intakes were assessed using a food frequency questionnaire. We used multivariable linear regression models to examine associations between dietary patterns and individual serum metabolites in each sample, adjusting for sociodemographic factors, health behaviors, and clinical factors. Results 21 out of 373 metabolites (HEI = 10; AHEI = 9; DASH = 15; aMED = 2) in sample 1 and 57 out of 758 metabolites (HEI = 32; AHEI = 22; DASH = 44; aMED = 22) in sample 2 were significantly associated with healthy dietary patterns after Bonferroni correction. More than half of the significant metabolites (n1 = 10; n2 = 35) were associated with more than one dietary pattern. The DASH diet had the highest number of unique metabolites (n1 = 7; n2 = 17), a majority of which were amino acids. Other diets had similar number of unique metabolites (range: 0–3), which were mostly lipids. Some of the unique metabolites were positively associated with components of every diet. For example, N-methylproline was associated with fruit and dairy intake in the DASH diet; docosahexaenoate (22:6n3) was associated with omega-3 fatty acid intake in AHEI, and 1-docosahexaenoylglycerophosphoethanolamine was associated with plant protein and saturated fat intake in HEI. Conclusions An untargeted metabolomics approach identified many metabolites associated with healthy dietary patterns. A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components within healthy diets. Funding Sources NIDDK, NHLBI.

scholarly journals Arsenic exposure in early pregnancy alters genome-wide DNA methylation in cord blood, particularly in boys

2014 ◽  
Vol 5 (4) ◽  
pp. 288-298 ◽  
Author(s):  
K. Broberg ◽  
S. Ahmed ◽  
K. Engström ◽  
M. B. Hossain ◽  
S. Jurkovic Mlakar ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cord Blood ◽  
Mononuclear Cells ◽  
De Novo ◽  
Arsenic Exposure ◽  
Later Life ◽  
Linear Regression Models ◽  
Early Gestation ◽  
Cpg Sites ◽  
Genome Wide

Early-life inorganic arsenic exposure influences not only child health and development but also health in later life. The adverse effects of arsenic may be mediated by epigenetic mechanisms, as there are indications that arsenic causes altered DNA methylation of cancer-related genes. The objective was to assess effects of arsenic on genome-wide DNA methylation in newborns. We studied 127 mothers and cord blood of their infants. Arsenic exposure in early and late pregnancy was assessed by concentrations of arsenic metabolites in maternal urine, measured by high performance liquid chromatography-inductively coupled plasma mass spectrometry. Genome-wide 5-methylcytosine methylation in mononuclear cells from cord blood was analyzed by Infinium HumanMethylation450K BeadChip. Urinary arsenic in early gestation was associated with cord blood DNA methylation (Kolmogorov–Smirnov test, P-value<10–15), with more pronounced effects in boys than in girls. In boys, 372 (74%) of the 500 top CpG sites showed lower methylation with increasing arsenic exposure (rS-values>−0.62), but in girls only 207 (41%) showed inverse correlation (rS-values>−0.54). Three CpG sites in boys (cg15255455, cg13659051 and cg17646418), but none in girls, were significantly correlated with arsenic after adjustment for multiple comparisons. The associations between arsenic and DNA methylation were robust in multivariable-adjusted linear regression models. Much weaker associations were observed with arsenic exposure in late compared with early gestation. Pathway analysis showed overrepresentation of affected cancer-related genes in boys, but not in girls. In conclusion, early prenatal arsenic exposure appears to decrease DNA methylation in boys. Associations between early exposure and DNA methylation might reflect interference with de novo DNA methylation.

scholarly journals 0027 Adolescent Sleep Timing And Dietary Patterns In Relation To Dna Methylation Of Core Clock Genes

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A11-A11
Author(s):  
Erica C Jansen ◽  
Dana Dolinoy ◽  
Ronald D Chervin ◽  
Karen E Peterson ◽  
Louise M O'Brien ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Dietary Patterns ◽  
Dietary Habits ◽  
Clock Genes ◽  
Epigenetic Modification ◽  
Shift Workers ◽  
Wake Time ◽  
Cpg Sites ◽  
Sleep Timing ◽  
Increased Risk

Abstract Introduction Mistimed sleep/wake and eating patterns put adult shift workers at increased risk for chronic disease, and epigenetic modification of core clock genes has been proposed as a mechanism. Although not as extreme as shift workers, adolescents often have delayed sleep timing. Our aim was to assess whether sleep midpoints in adolescents are associated with DNA methylation of circadian genes. A secondary aim was to examine associations between dietary patterns and circadian gene methylation. Methods The study population included 142 Mexican youth (average age 14.0 (SD=2.0) years, 49% male) enrolled in a cohort study. Average sleep midpoint (between bed time and wake time) over 7 days was estimated with actigraphy. Diet was assessed with a semi-quantitative food frequency questionnaire, and three dietary patterns were derived from principal components analysis (a vegetable-based pattern, a meat and starch-based pattern, and a breakfast pattern). DNA methylation was quantified in blood leukocytes with the Infinium MethylatinEPIC BeadChip. We selected 166 loci (CpG sites) within CpG islands of core ‘clock’ genes known to regulate circadian rhythms (CLOCK, BMAL, PER1, PER2, PER3, CRY1, CRYI2, RORA, RORB, REV-VERBA, REV-VERBB). Linear regression was used to analyze associations between sleep midpoint or dietary patterns and logit-transformed percent methylation at the 166 CpG sites. All models were adjusted for sex and age. Results The average midpoint was 3:41 AM (SD=1 hr 15 min); average bed time was 11:29 PM (SD=68 min) and average wake time was 7:53 AM (SD=97 min). Sleep midpoint was positively associated with DNA methylation of CpG sites from the genes REV-VERBA and RORB at the Bonferroni-corrected significance level of p&lt;0.005. The breakfast dietary pattern (rich in eggs, milk, and bread) was inversely associated with DNA methylation at RORA (P=0.003). Conclusion Sleep timing and dietary habits are associated with DNA methylation of core clock genes in adolescents. Epigenetic modification of clock genes could in part underlie relationships between sleep, diet, and metabolic health among adolescents. Support (If Any) Dr. Jansen is supported by the NIH/NHLBI grant 5T32HL110952-05.

DNA methylation at LRP1 gene locus mediates the association between maternal total cholesterol changes in pregnancy and cord blood leptin levels

2019 ◽  
Vol 11 (4) ◽  
pp. 369-378 ◽  
Author(s):  
Simon-Pierre Guay ◽  
Andrée-Anne Houde ◽  
Edith Breton ◽  
Jean-Patrice Baillargeon ◽  
Patrice Perron ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cord Blood ◽  
Total Cholesterol ◽  
Scavenger Receptor ◽  
Ldl Receptor ◽  
Density Lipoprotein ◽  
First Trimester ◽  
Blood Cholesterol ◽  
Changes In Pregnancy ◽  
In Pregnancy

AbstractPlacental lipids transfer is essential for optimal fetal development, and alterations of these mechanisms could lead to a higher risk of adverse birth outcomes. Low-density lipoprotein receptor (LDLR), LDL receptor-related protein 1 (LRP1), and scavenger receptor class B type 1 (SCARB1) genes are encoding lipoprotein receptors expressed in the placenta where they participate in cholesterol exchange from maternal to fetal circulation. The aim of this study was thus to investigate the association between maternal lipid changes occurring in pregnancy, placental DNA methylation (DNAm) variations at LDLR, LRP1, and SCARB1 gene loci, and newborn’s anthropometric profile at birth. Sixty-nine normoglycemic women were followed from the first trimester of pregnancy until delivery. Placental DNAm was quantified at 43 Cytosine-phosphate-Guanines (CpGs) at LDLR, LRP1, and SCARB1 gene loci using pyrosequencing: 4 CpGs were retained for further analysis. Maternal clinical data were collected at each trimester of pregnancy. Newborns’ data were collected from medical records. Statistical models included minimally newborn sex and gestational and maternal age. Maternal total cholesterol changes during pregnancy (ΔT3-T1) were correlated with DNAm variations at LDLR (r = −0.32, p = 0.01) and LRP1 (r = 0.34, p = 0.007). DNAm at these loci was also correlated with newborns’ cord blood triglyceride and leptin levels. Mediation analysis supports a causal relationship between maternal cholesterol changes, DNAm levels at LRP1 locus, and cord blood leptin concentration (pmediation = 0.02). These results suggest that LRP1 DNAm link maternal blood cholesterol changes in pregnancy and offspring adiposity at birth, which provide support for a better follow-up of blood lipids in pregnancy.

scholarly journals Proteomic and Metabolomic Correlates of Healthy Dietary Patterns: The Framingham Heart Study

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1476 ◽  
Author(s):  
Maura E. Walker ◽  
Rebecca J. Song ◽  
Xiang Xu ◽  
Robert E. Gerszten ◽  
Debby Ngo ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Molecular Mechanisms ◽  
Healthy Eating Index ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Intermediate Phenotypes ◽  
Heart Study ◽  
Alternative Healthy Eating Index ◽  
Liquid Chromatography Tandem Mass

Data on proteomic and metabolomic signatures of healthy dietary patterns are limited. We evaluated the cross-sectional association of serum proteomic and metabolomic markers with three dietary patterns: the Alternative Healthy Eating Index (AHEI), the Dietary Approaches to Stop Hypertension (DASH) diet; and a Mediterranean-style (MDS) diet. We examined participants from the Framingham Offspring Study (mean age; 55 years; 52% women) who had complete proteomic (n = 1713) and metabolomic (n = 2284) data; using food frequency questionnaires to derive dietary pattern indices. Proteins and metabolites were quantified using the SomaScan platform and liquid chromatography/tandem mass spectrometry; respectively. We used multivariable-adjusted linear regression models to relate each dietary pattern index (independent variables) to each proteomic and metabolomic marker (dependent variables). Of the 1373 proteins; 103 were associated with at least one dietary pattern (48 with AHEI; 83 with DASH; and 8 with MDS; all false discovery rate [FDR] ≤ 0.05). We identified unique associations between dietary patterns and proteins (17 with AHEI; 52 with DASH; and 3 with MDS; all FDR ≤ 0.05). Significant proteins enriched biological pathways involved in cellular metabolism/proliferation and immune response/inflammation. Of the 216 metabolites; 65 were associated with at least one dietary pattern (38 with AHEI; 43 with DASH; and 50 with MDS; all FDR ≤ 0.05). All three dietary patterns were associated with a common signature of 24 metabolites (63% lipids). Proteins and metabolites associated with dietary patterns may help characterize intermediate phenotypes that provide insights into the molecular mechanisms mediating diet-related disease. Our findings warrant replication in independent populations

scholarly journals Nutrition During Pregnancy: Findings from the NICHD Fetal Growth Studies – Singleton Cohort

2020 ◽  
Author(s):  
Stefanie N Hinkle ◽  
Cuilin Zhang ◽  
Katherine L Grantz ◽  
Anthony Sciscione ◽  
Deborah A Wing ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Fetal Growth ◽  
First Trimester ◽  
Healthy Eating Index ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Dietary Intakes ◽  
Third Trimester ◽  
Growth Studies ◽  
Race Ethnicity

Abstract Background Accumulating evidence indicates that maternal diets are important for optimizing maternal and offspring health. Existing research lacks comprehensive profiles of maternal diets throughout pregnancy, especially in a racially/ethnically diverse obstetrical population. Objective To characterize diets in a longitudinal U.S. pregnancy cohort by trimester, race/ethnicity, and pre-pregnancy body mass index (BMI). Methods Data were obtained from pregnant women in the NICHD Fetal Growth Studies - Singleton cohort (2009–2013). A Food Frequency Questionnaire (FFQ) at 8–13 weeks gestation assessed periconception and first trimester diet (n = 1615). Automated, self-administered, 24-hour dietary recalls targeted at 16–22, 24–29, 30–33, and 34–37 weeks gestation assessed second and third trimester diets (n = 1817 women/6791 recalls). Healthy Eating Index-2010 (HEI) assessed diet quality (i.e., adherence to U.S. Dietary Guidelines). Variations in weighted energy-adjusted means for foods and nutrients were examined by trimester, self-identified race/ethnicity, and self-reported pre-pregnancy BMI. Results Mean (95% confidence interval) HEI was 65.9 (64.9,67.0) during periconception to first trimester assessed with an FFQ, and 51.6 (50.8,52.4) and 51.5 (50.7,52.3) during the second trimester and third trimester, respectively, assessed using 24-hour recalls. No significant differences were observed between second and third trimester in macronutrients, micronutrients, foods, or HEI components (P ≥ 0.05). Periconception to first trimester HEI was highest among Asian/Pacific Islander [67.2 (65.9,68.6)] and lowest among non-Hispanic Black [58.7 (57.5,60.0)] women and highest among women with normal weight [67.2 (66.1,68.4)] and lowest among women with obesity [63.5 (62.1,64.9)]. Similar rankings were observed in the second/third trimesters. Conclusions Most pregnant women in this cohort reported dietary intakes that, on average, did not meet U.S. Dietary Guidelines for non-pregnant individuals. Also, diet differed across race/ethnic groups and by pre-pregnancy BMI with lowest overall dietary quality in all trimesters among non-Hispanic Black women and women with obesity. No meaningful changes in dietary intake were observed between the second and third trimesters.

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