scholarly journals Association between Dietary Intake of One-Carbon Metabolism Nutrients in the Year before Pregnancy and Birth Anthropometry

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 838
Author(s):  
Marion Lecorguillé ◽  
Sandrine Lioret ◽  
Blandine de Lauzon-Guillain ◽  
Erwan de Gavelle ◽  
Anne Forhan ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Fetal Growth ◽  
Dietary Patterns ◽  
Carbon Metabolism ◽  
Nutrient Intake ◽  
Vitamin Supplementation ◽  
Reduced Rank Regression ◽  
Maternal Characteristics ◽  
Rank Regression ◽  
One Carbon Metabolism

Few studies have evaluated the role of methylation-pathway nutrients involved in fetal growth (B vitamins, choline, betaine, and methionine). These one-carbon metabolism (OCM) nutrients are essential for DNA methylation in the periconception period. We aimed to characterize dietary patterns of 1638 women from the EDEN mother-child cohort in the year before pregnancy according to the contribution of OCM nutrients and to study the association of such patterns with anthropometric measurements at birth. Dietary intake before pregnancy was assessed by using a semi-quantitative food frequency questionnaire. We used the reduced-rank regression (RRR) method to identify dietary patterns using OCM nutrients as intermediate variables. We ran linear regressions models to study the association between dietary patterns scores and birth weight, length, head circumference, gestational age, and sex-specific z-scores, adjusting for maternal characteristics and vitamin supplementation before and during pregnancy. Three patterns, “varied and balanced”, “vegetarian tendency”, and “bread and starchy food” were identified, explaining 58% of the variability in OCM nutrient intake. Higher scores on the “varied and balanced” pattern tended to be associated with higher birth length and weight. In mainly well-nourished young French women, we did not find evidence that variability in OCM nutrient intake has major effects on fetal growth.

scholarly journals Dietary intake and food sources of one-carbon metabolism nutrients in preschool aged children

2018 ◽  
Vol 73 (8) ◽  
pp. 1179-1193
Author(s):  
Rachael M. Taylor ◽  
Roger Smith ◽  
Clare E. Collins ◽  
Tiffany-Jane Evans ◽  
Alexis J. Hure
Keyword(s):  
Dietary Intake ◽  
Carbon Metabolism ◽  
Food Sources ◽  
One Carbon Metabolism ◽  
Preschool Aged Children

Dietary Intake of Nutrients Involved in One-Carbon Metabolism and Risk of Gastric Cancer: A Prospective Study

2019 ◽  
Vol 71 (4) ◽  
pp. 605-614 ◽  
Author(s):  
Pierre-Antoine Dugué ◽  
Julie K. Bassett ◽  
Maree T. Brinkman ◽  
Melissa C. Southey ◽  
Jihoon E. Joo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Dietary Intake ◽  
Prospective Study ◽  
Carbon Metabolism ◽  
One Carbon Metabolism ◽  
A Prospective Study

scholarly journals Dietary Patterns in Primary School are of Prospective Relevance for the Development of Body Composition in Two German Pediatric Populations

Nutrients ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1442 ◽  
Author(s):  
Maike Wolters ◽  
Gesa Joslowski ◽  
Sandra Plachta-Danielzik ◽  
Marie Standl ◽  
Manfred Müller ◽  
...  
Keyword(s):  
Body Composition ◽  
Primary School ◽  
Dietary Patterns ◽  
Fast Food ◽  
Principal Component ◽  
Food Group ◽  
Study Cohort ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Frequent Consumption

This study performed comparative analyses in two pediatric cohorts to identify dietary patterns during primary school years and examined their relevance to body composition development. Nutritional and anthropometric data at the beginning of primary school and two or four years later were available from 298 and 372 participants of IDEFICS-Germany (Identification and prevention of Dietary-induced and lifestyle-induced health Effects In Children and infants Study) and the KOPS (Kiel Obesity Prevention Study) cohort, respectively. Principal component analyses (PCA) and reduced rank regression (RRR) were used to identify dietary patterns at baseline and patterns of change in food group intake during primary school years. RRR extracted patterns explaining variations in changes in body mass index (BMI), fat mass index (FMI), and waist-to-height-ratio (WtHR). Associations between pattern adherence and excess gain in BMI, FMI, or WtHR (>75th percentile) during primary school years were examined using logistic regression. Among PCA patterns, only a change towards a more Mediterranean food choice during primary school years were associated with a favorable body composition development in IDEFICS-Germany (p < 0.05). In KOPS, RRR patterns characterized by a frequent consumption of fast foods or starchy carbohydrate foods were consistently associated with an excess gain in BMI and WtHR (all p < 0.005). In IDEFICS-Germany, excess gain in BMI, FMI, and WtHR were predicted by a frequent consumption of nuts, meat, and pizza at baseline and a decrease in the consumption frequency of protein sources and snack carbohydrates during primary school years (all p < 0.01). The study confirms an adverse impact of fast food consumption on body composition during primary school years. Combinations of protein and carbohydrate sources deserve further investigation.

scholarly journals Maternal Dietary Patterns during Pregnancy Are Associated with Newborn Body Composition

2017 ◽  
Vol 147 (7) ◽  
pp. 1334-1339 ◽  
Author(s):  
Anne P Starling ◽  
Katherine A Sauder ◽  
Jill L Kaar ◽  
Allison LB Shapiro ◽  
Anna Maria Siega-Riz ◽  
...  
Keyword(s):  
Body Composition ◽  
Dietary Intake ◽  
Fat Mass ◽  
Dietary Patterns ◽  
Fasting Glucose ◽  
Whole Grains ◽  
Fat Free Mass ◽  
Linear Regression Models ◽  
Reduced Rank Regression ◽  
Maternal Dietary Intake

Abstract Background: Maternal dietary intake during pregnancy may influence offspring growth and adiposity. Specific dietary patterns associated with newborn adiposity have not been identified. Objective: We aimed to identify patterns of maternal dietary intake associated with gestational weight gain (GWG) and fasting glucose during pregnancy and to evaluate whether adherence to these patterns is associated with newborn adiposity. Methods: In the Healthy Start prospective cohort, dietary intake during pregnancy was assessed via 24-h recalls. Reduced-rank regression identified dietary patterns predictive of GWG and fasting glucose. Associations between dietary patterns and newborn fat mass, fat-free mass, and adiposity were estimated by using linear regression models among 764 ethnically diverse mother-infant pairs. Results: Two dietary patterns were identified. Pattern 1, correlated with greater GWG (r = 0.22, P &lt; 0.01), was characterized by a higher consumption of poultry, nuts, cheese, fruits, whole grains, added sugars, and solid fats. Greater adherence to pattern 1 (upper compared with lower tertile) predicted a greater newborn fat-free mass (61 g; 95% CI: 12, 110 g) but no difference in fat mass or adiposity. Pattern 2, correlated with greater maternal fasting glucose (r = 0.16, P &lt; 0.01), was characterized by a higher consumption of eggs, starchy vegetables, solid fats, fruits, and nonwhole grains and a lower consumption of dairy foods, dark-green vegetables, and whole grains. Greater adherence to pattern 2 was associated with a greater newborn birth weight (80 g; 95% CI: 15, 145 g), fat mass (33 g; 95% CI: 8, 59 g), and adiposity (0.9%; 95% CI: 0.3%, 1.6%). Conclusions: Among pregnant women, adherence to a dietary pattern characterized by an intake of poultry, nuts, cheese, and whole grains was associated with greater GWG but not maternal fasting glucose or newborn adiposity. Adherence to a pattern characterized by an intake of eggs, starchy vegetables, and nonwhole grains was associated with higher maternal fasting glucose and greater newborn adiposity. Maternal dietary patterns during pregnancy may influence newborn body composition.

scholarly journals Comparison of two statistical approaches to predict all-cause mortality by dietary patterns in German elderly subjects

2005 ◽  
Vol 93 (5) ◽  
pp. 709-716 ◽  
Author(s):  
Kurt Hoffmann ◽  
Heiner Boeing ◽  
Paolo Boffetta ◽  
Gabriele Nagel ◽  
Philippos Orfanos ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Saturated Fat ◽  
Principal Component ◽  
Energy Sources ◽  
Elderly Subjects ◽  
Monounsaturated Fat ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Relative Risks ◽  
All Cause Mortality

Dietary patterns are comprehensive variables of dietary intake appropriate to model the complex exposure in nutritional research. The objectives of this study were to identify dietary patterns by applying two statistical methods, principal component analysis (PCA) and reduced rank regression (RRR), and to assess their ability to predict all-cause mortality. Motivated by previous studies we chose percentages of energy from different macronutrients as response variables in the RRR analysis. We used data from 9356 German elderly subject enrolled in the European Prospective Investigation into Cancer and Nutrition study. The first RRR pattern, subjects which explained 30·8 % of variation in energy sources and especially much variation in intake of saturated fat, monounsaturated fat and carbohydrates was a significant predictor of all-cause mortality. The pattern score had high positive loadings in all types of meat, butter, sauces and eggs, and was inversely associated with bread and fruits. After adjustment for other known risk factors, the relative risks from the lowest to highest quintiles of the first RRR pattern score were 1·0, 1·01, 0·96, 1·32, 1·61 (P for trend: 0·0004). In contrast, the first two PCA patterns explaining 19·7 % of food intake variation but only 7·0 % of variation in energy sources were not related to mortality. These results suggest that variation in macronutrients is meaningful for mortality and that the RRR method is more appropriate than the classic PCA method to identify dietary patterns relevant to mortality.

Dietary patterns, approaches, and multicultural perspectiveThis is one of a selection of papers published in the CSCN–CSNS 2009 Conference, entitled Can we identify culture-specific healthful dietary patterns among diverse populations undergoing nutrition transition?

2010 ◽  
Vol 35 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Katherine L. Tucker
Keyword(s):  
Dietary Patterns ◽  
The United States ◽  
Healthy Eating Index ◽  
United States Department ◽  
Diverse Populations ◽  
Reduced Rank Regression ◽  
Linear Combinations ◽  
Rank Regression ◽  
Reduced Rank ◽  
Nutrition Research

Nutrition research has traditionally focused on single nutrients in relation to health. However, recent appreciation of the complex synergistic interactions among nutrients and other food constituents has led to a growing interest in total dietary patterns. Methods of measurement include summation of food or nutrient recommendations met, such as the United States Department of Agriculture Healthy Eating Index; data-driven approaches — principal components (PCA) and cluster analyses — which describe actual intake patterns in the population; and, most recently, reduced rank regression, which defines linear combinations of food intakes that maximally explain intermediate markers of disease. PCA, a form of factor analysis, derives linear combinations of foods based on their intercorrelations. Cluster analysis groups individuals into maximally differing eating patterns. These approaches have now been used in diverse populations with good reproducibility. In contrast, because it is based on associations with outcomes rather than on coherent behavioral patterns, reduced rank regression may be less reproducible, but more research is needed. However, it is likely to yield useful information for hypothesis generation. Together, the focus on dietary patterns has been fruitful in demonstrating the powerful protective associations of healthy or prudent dietary patterns, and the higher risk associations of Western or meat and refined grains patterns. The field, however, has not fully addressed the effects of diet in subpopulations, including ethnic minorities. Depending on food group coding, subdietary patterns may be obscured or artificially separated, leading to potentially misleading results. Further attention to the definition of the dietary patterns of different populations is critical to providing meaningful results. Still, dietary pattern research has great potential for use in nutrition policy, particularly as it demonstrates the importance of total diet in health promotion.

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