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IntroductionChanges in DNA methylation can increase or suppress the expression of health-relevant genes. We investigated for the first time the relationship between habitual food consumption and changes in DNA methylation.MethodsThe German KORA FF4 and KORA Fit studies were used to study the change in methylation over a median follow-up of 4 years. Only subjects participating in both surveys and with available dietary and methylation data were included in the analysis (n = 465). DNA methylation was measured using the Infinium MethylationEPIC BeadChip (Illumina), resulting in 735,527 shared CpGs across both studies. Generalized estimating equation models with an interaction term of exposure and time point were used to analyze the association of 34 food groups, folic acid, and two dietary patterns with changes in DNA methylation over time.ResultsThe results were corrected for genomic inflation. Significant interaction terms indicate different effects between both time points. We observed only a few significant associations between food intake and change in DNA methylation, except for cream and spirit consumption. The annotated genes include CLN3, PROM1, DLEU7, TLL2, and UGT1A10.DiscussionWe identified weak associations between food consumption and DNA methylation change. The differential results for cream and spirits, both consumed in low quantities, require replication in independent studies.

Many research questions focused on characterizing usual, or long-term average, dietary intake of populations and subpopulations rely on short-term intake data. The objective of this paper is to review key assumptions, statistical techniques, and considerations underpinning the use of short-term dietary intake data to make inference about usual dietary intake. The focus is on measurement error and strategies to mitigate its effects on estimated characteristics of population-level usual intake, with attention to relevant analytic issues such as accounting for survey design. Key assumptions are that short-term assessments are subject to random error only (i.e., unbiased for individual usual intake) and that some aspects of the error structure apply to all respondents, allowing estimation of this error structure in data sets with only a few repeat measures per person. Under these assumptions, a single 24-hour dietary recall per person can be used to estimate group mean intake; and with as little as one repeat on a subsample and with more complex statistical techniques, other characteristics of distributions of usual intake, such as percentiles, can be estimated. Related considerations include the number of days of data available, skewness of intake distributions, whether the dietary components of interest are consumed nearly daily by nearly everyone or episodically, the number of correlated dietary components of interest, time-varying nuisance effects related to day of week and season, and variance estimation and inference. Appropriate application of assumptions and recommended statistical techniques allows researchers to address a range of research questions, though it is imperative to acknowledge systematic error (bias) in short-term data and its implications for conclusions. [ABSTRACT FROM AUTHOR]

Introduction: Changes in DNA methylation can increase or suppress the expression of health-relevant genes. We investigated for the first time the relationship between habitual food consumption and changes in DNA methylation., Methods: The German KORA FF4 and KORA Fit studies were used to study the change in methylation over a median follow-up of 4 years. Only subjects participating in both surveys and with available dietary and methylation data were included in the analysis (n = 465). DNA methylation was measured using the Infinium MethylationEPIC BeadChip (Illumina), resulting in 735,527 shared CpGs across both studies. Generalized estimating equation models with an interaction term of exposure and time point were used to analyze the association of 34 food groups, folic acid, and two dietary patterns with changes in DNA methylation over time., Results: The results were corrected for genomic inflation. Significant interaction terms indicate different effects between both time points. We observed only a few significant associations between food intake and change in DNA methylation, except for cream and spirit consumption. The annotated genes include CLN3, PROM1, DLEU7, TLL2, and UGT1A10., Discussion: We identified weak associations between food consumption and DNA methylation change. The differential results for cream and spirits, both consumed in low quantities, require replication in independent studies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Hellbach, Freuer, Meisinger, Peters, Winkelmann, Costeira, Hauner, Baumeister, Bell, Waldenberger and Linseisen.)

Aim: The present study aimed to assess the usual distribution of energy and macronutrient intake among a large representative sample of Iranian healthy middle‐aged and elderly people. Methods: In this cross‐sectional study, a second follow‐up survey of the Isfahan Cohort Study (ICS) was carried out; 1922 people aged 40 years and older were investigated. Dietary intakes were collected using 24‐hour recall and two or more consecutive food records. Distribution of energy and macronutrient intake was estimated using traditional and National Cancer Institute (NCI) methods. Results: The mean usual intake of energy was 1749.2 kcal based on the NCI method. Carbohydrate constituted 59.98% and protein 17.42% of total energy intake. The mean contributions of total fat, saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA) and monounsaturated fatty acids (MUFAs) to energy intake were 25.74%, 9.5%, 4.92 and 7.75%, respectively. Approximately 7% of studied females aged 51–70 years met the recommended or higher levels for fibre. Females had significantly higher compliance of the recommended cholesterol level than males (age range of 40–70 years; P < 0.0001). Conclusions: It appears that Iranian middle‐aged and elderly people are advancing towards a high risk of obesity and non‐communicable chronic diseases. Nutritional interventions for improving the diet amongst this at‐risk population are necessary. [ABSTRACT FROM AUTHOR]

Background: One of the underpinning elements to support evidence-based decision-making in food and nutrition is the usual dietary intake of a population. It represents the long-run average consumption of a particular dietary component (i.e., food or nutrient). Variations in individual eating habits are observed from day-to-day and between individuals. The National Cancer Institute (NCI) method uses statistical modeling to account for these variations in estimation of usual intakes. This method was originally developed for nutrition survey data in the United States. The main objective of this study was to apply the NCI method in the analysis of Canadian nutrition surveys. Methods: Data from two surveys, the 2004 and 2015 Canadian Community Health Survey—Nutrition were used to estimate usual dietary intake distributions from food sources using the NCI method. The effect of different statistical considerations such as choice of the model, covariates, stratification compared to pooling, and exclusion of outliers were assessed, along with the computational time to convergence. Results: A flowchart to aid in model selection was developed. Different covariates (e.g., age/sex groups, cycle, weekday/weekend of the recall) were used to adjust the estimates of usual intakes. Moreover, larger differences in the ratio of within to between variation for a stratified analysis or a pooled analysis resulted in noticeable differences, particularly in the tails of the distribution of usual intake estimates. Outliers were subsequently removed when the ratio was larger than 10. For an individual age/sex group, the NCI method took 1 h−5 h to obtain results depending on the dietary component. Conclusion: Early experience in using the NCI method with Canadian nutrition surveys data led to the development of a flowchart to facilitate the choice of the NCI model to use. The ability of the NCI method to include covariates permits comparisons between both 2004 and 2015. This study shows that the improper application of pooling and stratification as well as the outlier detection can lead to biased results. This early experience can provide guidance to other researchers and ensures consistency in the analysis of usual dietary intake in the Canadian context.

Valid estimation of usual dietary intake in epidemiological studies is a topic of present interest. The aim of the present paper is to review recent literature on innovative approaches focussing on: (1) the requirements to assess usual intake and (2) the application in large-scale settings. Recently, a number of technology-based self-administered tools have been developed, including short-term instruments such as web-based 24-h recalls, mobile food records or simple closed-ended questionnaires that assess the food intake of the previous 24 h. Due to their advantages in terms of feasibility and cost-effectiveness these tools may be superior to conventional assessment methods in large-scale settings. New statistical methods have been developed to combine dietary information from repeated 24-h dietary recalls and FFQ. Conceptually, these statistical methods presume that the usual food intake of a subject equals the probability of consuming a food on a given day, multiplied by the average amount of intake of that food on a typical consumption day. Repeated 24-h recalls from the same individual provide information on consumption probability and amount. In addition, the FFQ can add information on intake frequency of rarely consumed foods. It has been suggested that this combined approach may provide high-quality dietary information. A promising direction for estimation of usual intake in large-scale settings is the integration of both statistical methods and new technologies. Studies are warranted to assess the validity of estimated usual intake in comparison with biomarkers. [ABSTRACT FROM AUTHOR]

Next to the information on frequency of food consumption, information on consumption-day amounts is important to estimate usual dietary intake in epidemiological studies. Our objective was to identify determinants of consumption-day amounts to derive person-specific standard consumption-day amounts applicable for the estimation of usual dietary intake using separate sources to assesss information on consumption probability and amount consumed. 24-h Dietary recall data from the German National Nutrition Survey II (n = 8522; aged 20–80 years) conducted between 2005 and 2007 were analysed for determinants of consumption-day amounts of thirty-eight food and beverage groups using LASSO variable selection for linear mixed-effects models. Determinants included sex, age, BMI, smoking status, years of education, household net income, living status and employment status. Most often, sex, age and smoking status were selected as predictors for consumption-day amounts across thirty-eight food groups. In contrast, living with a partner, employment status and household net income were less frequently chosen. Overall, different determinants were of relevance for different food groups. The number of selected determinants ranged from eight for coffee and juice to zero for cabbage, tea, root vegetables, leafy vegetables, fruit vegetables, legumes, offal, vegetable oils, and other fats. For the estimation of usual dietary intake in a combined approach with a 24-h food list, person-specific standard consumption-day amounts could be used. Sex, age and smoking status were shown to be the most relevant predictors in our analysis. Their impact on the estimation of usual dietary intake needs to be evaluated in future studies.

The goal of US Department of Agriculture Supplemental Nutrition Assistance Program–Education (SNAP-Ed) is to improve the likelihood that those eligible for SNAP will make healthy choices aligned with the Dietary Guidelines for Americans, 2020-2025. The objective of the study was to evaluate the long-term effects of a direct SNAP-Ed intervention in which participants actively engage in learning with educator instruction about dietary quality and usual intake of key nutrient and food groups among Indiana SNAP-Ed–eligible women participants as an example sample in the context of no similar existing evaluation. The study design was a parallel-arm, randomized controlled, nutrition education intervention, with follow-up at 1 year. Participants (18 years and older; n = 97 women) eligible for SNAP-Ed and interested in receiving nutrition education lessons were recruited from 31 Indiana counties from August 2015 to May 2016 and randomized to an intervention (n = 53) or control (n = 44) group. The intervention comprised core lessons of Indiana SNAP-Ed delivered between 4 and 10 weeks after baseline assessment. Each participant completed a baseline and 1-year follow-up assessment. Dietary intake was assessed using repeated 24-hour dietary recalls (up to 2). Mean usual nutrient, food group intake, diet quality (ie, Healthy Eating Index-2010 scores), and proportion of intervention and control groups meeting Dietary Guidelines for Americans, 2020-2025 recommendations and Dietary Reference Intake indicators of requirement or adequacy, were determined using the National Cancer Institute method and the simple Healthy Eating Index-2010 scoring algorithm method. Dietary changes between intervention and control groups were examined over time using mixed linear models. Bonferroni-corrected significance levels were applied to the results of the mixed linear models for comparisons of usual intake of nutrients and foods. No differences in diet quality, intake of food group components, food group intake, or nutrients were observed at 1-year follow-up, except that vitamin D intake was higher among those who received SNAP-Ed compared with the control group. A direct SNAP-Ed intervention did not improve diet quality, food group intake, or key nutrient intake, except for vitamin D, among Indiana SNAP-Ed–eligible women up to 1 year after the nutrition education. [ABSTRACT FROM AUTHOR]

Objective: This study provides an assessment of usual intake distribution of vitamins and estimating prevalence of inadequacy and excess among a large representative sample of middle-aged and elderly people in central regions of Iran.Design: A cross-sectional study that is a second follow-up to the Isfahan Cohort Study (ICS).Setting: The study setting included urban and rural areas from 3 cities (Isfahan, Najafabad, and Arak) in central regions of Iran.Subjects: Subjects included 1922 people aged 40 years and older, with a mean age of 55.9 ± 10.6; 50.4% were male and the majority (79.3%) were urban.Measures and Analysis: Dietary intakes were collected using a 24-hour recall and 2 food records. Distribution of vitamins intake was estimated using traditional and national cancer institute (NCI) methods. The proportion of subjects at risk of vitamin intake inadequacy or excess was estimated using the estimated average requirement (EAR) cut-point method and the tolerable upper intake levels (UL) index.Results: There were differences between values obtained from traditional and NCI methods, particularly in the lower and upper percentiles of the intake distribution. High prevalence of inadequacies for vitamins A, D, E, B2, B3 (especially among females), and B9 was observed. Significant gender differences were found in terms of inadequate intakes for vitamins A, B1, B2, B3, B6, B9, B12, and C (p < 0.05).Conclusion: Imbalanced vitamin intake was observed in the middle-aged and elderly Iranian population. Nutritional interventions particularly through population-based educational programs in order to improve diet variety and consume nutrient supplements may be necessary. [ABSTRACT FROM AUTHOR]

Next to the information on frequency of food consumption, information on consumption-day amounts is important to estimate usual dietary intake in epidemiological studies. Our objective was to identify determinants of consumption-day amounts to derive person-specific standard consumption-day amounts applicable for the estimation of usual dietary intake using separate sources to assesss information on consumption probability and amount consumed. 24-h Dietary recall data from the German National Nutrition Survey II (n = 8522; aged 20-80 years) conducted between 2005 and 2007 were analysed for determinants of consumption-day amounts of thirty-eight food and beverage groups using LASSO variable selection for linear mixed-effects models. Determinants included sex, age, BMI, smoking status, years of education, household net income, living status and employment status. Most often, sex, age and smoking status were selected as predictors for consumption-day amounts across thirty-eight food groups. In contrast, living with a partner, employment status and household net income were less frequently chosen. Overall, different determinants were of relevance for different food groups. The number of selected determinants ranged from eight for coffee and juice to zero for cabbage, tea, root vegetables, leafy vegetables, fruit vegetables, legumes, offal, vegetable oils, and other fats. For the estimation of usual dietary intake in a combined approach with a 24-h food list, person-specific standard consumption- day amounts could be used. Sex, age and smoking status were shown to be the most relevant predictors in our analysis. Their impact on the estimation of usual dietary intake needs to be evaluated in future studies. [ABSTRACT FROM AUTHOR]

Background:The health of subjects is not affected by the nutrients ingested in a particular day; it actually is influenced by the dietary habits over a long time. In the most commonly used methods, usual food components intakes would be estimated along with bias. Considering the initiating and developing of many chronic diseases in the middle-age and elderly, majority of them affected by nutrition, the aim of current research was to evaluate the distribution of usual intake of selected nutrients using a powerful statistical method i.e. NCI (National Cancer Institute) method in a general above 40-years-old population of central region of Iran. Methods: In this cross-sectional study, based on information obtained from the Isfahan Cohort Study in 2007, 1922 people aged 40 and over, were investigated. Subjects's dietary intakes were assessed with a 24-hour recalls and two food records. Distribution of usual nutrient intake was estimated using NCI method. The proportion of subjects at risk of nutrient intake deficiency or excess was estimated by comparing the estimated values with recommended standards, for men and women, separately. Findings: The prevalence of vitamin A inadequacy for men in different age groups was more substantial than women (58.3-96.7 percent for men vs 23.3-57.2 percent for women). The usual calcium and dietary fiber intakes for a low percentage of studied subjects were more than recommended standards (Maximum of 7 and 28 percent for dietary fiber and calcium, respectively). There was a significant difference between men and women, at the age of 40-70 years, in terms of compliance of recommended cholesterol level (P < 0.0001). Conclusion: The results of current research showed that intake of vitamin A, calcium and dietary fiber was not adequate, and somewhat there was excess intake of cholesterol in the studied population. Thus consuming of dairies, vegetables and fruits, as the main sources of micronutrients, should be increased in this population. Interventional population-based programs such as enriching food and training in order to adjusting the pattern of diet should be designed. [ABSTRACT FROM AUTHOR]

National dietary guidelines pertaining to the intake of fruits and vegetables (FV) were recently amended, in both Canada and the United States, to provide specific recommendations about dark green and orange vegetables and juice consumption. However, little is known about the extent to which Canadians meet the updated recommendations for FV. This study fills current gaps by applying the National Cancer Institute's methodology for assessing the distribution of usual intake of foods to examine reported FV intake using 24-h recalls from the 2004 Canadian Community Health Survey, cycle 2.2, a nationally representative health survey. After identifying plausible respondents, usual intake distributions were estimated after adjustment for respondents' age, sex, body mass index, frequency of FV consumption, sequence effect, weekend-weekday effect, income, and ethnicity. The majority of Canadians did not meet Health Canada's 2007 recommendations for FV intake. Only 26% of the population aged 2 years and older consumed the minimum number of daily servings recommended for their respective age-sex group. Approximately 1 in 5 Canadians consumed at least 1 daily serving of dark green vegetables, and 9% consumed 1 or more daily servings of orange vegetables or their substitutes. Juice was a substantial contributor to FV intake, particularly for children and teens who, on average, consumed 32%-41% of their daily FV servings as juice. These findings provide insight into the quantity and composition of FV intake and adherence to national dietary recommendations in Canada. [ABSTRACT FROM AUTHOR]

Background: One of the underpinning elements to support evidence-based decision-making in food and nutrition is the usual dietary intake of a population. It represents the long-run average consumption of a particular dietary component (i.e., food or nutrient). Variations in individual eating habits are observed from day-to-day and between individuals. The National Cancer Institute (NCI) method uses statistical modeling to account for these variations in estimation of usual intakes. This method was originally developed for nutrition survey data in the United States. The main objective of this study was to apply the NCI method in the analysis of Canadian nutrition surveys. Methods: Data from two surveys, the 2004 and 2015 Canadian Community Health Survey—Nutrition were used to estimate usual dietary intake distributions from food sources using the NCI method. The effect of different statistical considerations such as choice of the model, covariates, stratification compared to pooling, and exclusion of outliers were assessed, along with the computational time to convergence. Results: A flowchart to aid in model selection was developed. Different covariates (e.g., age/sex groups, cycle, weekday/weekend of the recall) were used to adjust the estimates of usual intakes. Moreover, larger differences in the ratio of within to between variation for a stratified analysis or a pooled analysis resulted in noticeable differences, particularly in the tails of the distribution of usual intake estimates. Outliers were subsequently removed when the ratio was larger than 10. For an individual age/sex group, the NCI method took 1 h–5 h to obtain results depending on the dietary component. Conclusion: Early experience in using the NCI method with Canadian nutrition surveys data led to the development of a flowchart to facilitate the choice of the NCI model to use. The ability of the NCI method to include covariates permits comparisons between both 2004 and 2015. This study shows that the improper application of pooling and stratification as well as the outlier detection can lead to biased results. This early experience can provide guidance to other researchers and ensures consistency in the analysis of usual dietary intake in the Canadian context. [ABSTRACT FROM AUTHOR]

Background: The most recent statistics indicate that the prevalence of food insecurity in the United States is double that in Canada, but the extent to which the nutrition implications of this problem differ between the countries is not known., Objective: This study was undertaken to compare adequacy of nutrient intakes in relation to household food insecurity among youth and adults in Canada and the United States., Methods: Data from comparable nationally representative surveys, the 2004 Canadian Community Health Survey and the 2003-2006 NHANES, were used to estimate prevalences of inadequate intakes of vitamins A and C, folate, calcium, magnesium, and zinc among youth and adults in food-secure and food-insecure households. Potential differences in the composition of the populations between the 2 countries were addressed by using standardization, and analyses also accounted for participation in food and nutrition assistance programs in the United States., Results: Larger gaps in the prevalences of inadequate intakes between those in food-secure and food-insecure households were observed in Canada than in the United States for calcium and magnesium. For calcium, the prevalences of inadequate intakes among those in food-secure and food-insecure households in Canada were 50% and 66%, respectively, compared with 50% and 51%, respectively, in the United States. For magnesium, the prevalences of inadequate intakes in Canada were 39% and 60% among those in food-secure and food-insecure households, respectively, compared with 60% and 61%, respectively, in the United States. These findings were largely unchanged after we accounted for participation in food and nutrition assistance programs in the United States., Conclusions: This study suggests that household food insecurity is a stronger marker of nutritional vulnerability in Canada than in the United States. The results highlight the need for research to elucidate the effects of domestic policies affecting factors such as food prices and fortification on the nutritional manifestations of food insecurity., (© 2015 American Society for Nutrition.)

Background: Minerals are required for the body's normal function., Aim: The current study assessed the intake distribution of minerals and estimated the prevalence of inadequacy and excess among a representative sample of healthy middle aged and elderly Iranian people., Methods: In this cross-sectional study, the second follow up to the Isfahan Cohort Study (ICS), 1922 generally healthy people aged 40 and older were investigated. Dietary intakes were collected using 24 hour recalls and two or more consecutive food records. Distribution of minerals intake was estimated using traditional (averaging dietary intake days) and National Cancer Institute (NCI) methods, and the results obtained from the two methods, were compared. The prevalence of minerals intake inadequacy or excess was estimated using the estimated average requirement (EAR) cut-point method, the probability approach and the tolerable upper intake levels (UL)., Results: There were remarkable differences between values obtained using traditional and NCI methods, particularly in the lower and upper percentiles of the estimated intake distributions. A high prevalence of inadequacy of magnesium (50 - 100 %), calcium (21 - 93 %) and zinc (30 - 55 % for males > 50 years) was observed. Significant gender differences were found regarding inadequate intakes of calcium (21 - 76 % for males vs. 45 - 93 % for females), magnesium (92 % vs. 100 %), iron (0 vs. 15 % for age group 40 - 50 years) and zinc (29 - 55 % vs. 0 %) (all; p < 0.05)., Conclusion: Severely imbalanced intakes of magnesium, calcium and zinc were observed among the middle-aged and elderly Iranian population. Nutritional interventions and population-based education to improve healthy diets among the studied population at risk are needed.