scholarly journals Maternal Dietary Quality and Dietary Inflammation Associations with Offspring Growth, Placental Development, and DNA Methylation

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3130
Author(s):  
Marion Lecorguillé ◽  
Shevaun Teo ◽  
Catherine M. Phillips
Keyword(s):  
Public Health ◽  
Dna Methylation ◽  
Healthy Eating ◽  
Diet Quality ◽  
Maternal Diet ◽  
Later Life ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Placental Development ◽  
Offspring Growth

The ‘Developmental Origins of Health and Diseases’ hypothesis posits that prenatal maternal diet influences offspring growth and later life health outcomes. Dietary assessment has focused on selected nutrients. However, this approach does not consider the complex interactions between foods and nutrients. To provide a more comprehensive approach to public health, dietary indices have been developed to assess dietary quality, dietary inflammation and risk factors for non-communicable diseases. Thus far, their use in the context of placental development is limited and associations with offspring outcomes have been inconsistent. Although epidemiological studies have focused on the role of maternal diet on foetal programming, the underlying mechanisms are still poorly understood. Some evidence suggests these associations may be driven by placental and epigenetic changes. In this narrative review, we examine the current literature regarding relationships between key validated diet quality scores (Dietary Inflammatory Index [DII], Mediterranean diet [MD], Healthy Eating Index [HEI], Alternative Healthy Eating Index [AHEI], Dietary Approaches to Stop Hypertension [DASH], Glycaemic Index [GI] and Glycaemic Load [GL]) in pregnancy and birth and long-term offspring outcomes. We summarise findings, discuss potential underlying placental and epigenetic mechanisms, in particular DNA methylation, and highlight the need for further research and public health strategies that incorporate diet quality and epigenetics.

scholarly journals A Definition of “Regular Meals” Driven by Dietary Quality Supports a Pragmatic Schedule

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2667
Author(s):  
Barbara Lohse ◽  
Kathryn Faulring ◽  
Diane C. Mitchell ◽  
Leslie Cunningham-Sabo
Keyword(s):  
Public Health ◽  
Linear Regression ◽  
Healthy Eating ◽  
Total Protein ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
School Based Intervention ◽  
School Based ◽  
Definition Of ◽  
Hispanic White

Public health guidelines advise eating regular meals without defining “regular.” This study constructed a meaning for “regular” meals congruent with dietary quality. Parents of 4th grade youth in a school-based intervention (Clinicaltrials.gov NCT02491294) completed three, ASA24 online 24-h dietary recalls. Differences in time of intake across days for breakfasts, lunches, dinners were categorized with consistency denoted as always, often/sometimes or rarely/never and assigned values of 3, 2 or 1, respectively. Meal-specific values were summed to form mealtime regularity scores (mReg) ranging from 3 (low) to 9. Healthy eating index (HEI) scores were compared to mReg controlling for weekday/weekend recall pattern. Linear regression predicted HEI scores from mReg. Parents (n = 142) were non-Hispanic white (92%), female (88%) and educated (73%). One mReg version, mReg1 was significantly associated with total HEI, total fruit, whole fruit, tended to correlate with total protein, seafood/plant protein subcomponents. mReg1 predicted total HEI (p = 0.001) and was inversely related to BMI (p = 0.04). A score of three (always) was awarded to breakfasts, lunches or dinners with day-to-day differences of 0–60 min; also, lunches/dinners with one interval of 60–120 min when two meals were ≤60 min apart. More rigid mReg versions were not associated with dietary quality.

Dietary quality differs among cannabis use groups: data from the National Health and Nutrition Examination Survey 2005–16

2020 ◽  
pp. 1-9
Author(s):  
Amy R Gelfand ◽  
Christy C Tangney
Keyword(s):  
Healthy Eating ◽  
National Health ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Cannabis Use ◽  
Dietary Quality ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Adult Participants

Abstract Objective: To describe diet quality (Healthy Eating Index 2010 (HEI-2010) and Healthy Eating Index 2015 (HEI-2015)) according to self-reported cannabis use among the National Health and Nutrition Examination Survey (NHANES) adult participants. Design: Utilizing cross-sectional data, we assessed diet quality with up to two 24-h diet recalls from NHANES participants. Usual intakes were estimated via the multivariate Markov Chain–Monte Carlo method. Diet quality scores were compared among never users, previous users and current users of cannabis. Setting: NHANES surveys from 2005 to 2016. Participants: Adult NHANES participants (17 855) aged 20–59 years with valid data for dietary recalls and drug use questionnaires. Results: Current adult cannabis users (ages 20–59 years) had significantly lower total diet quality (HEI-2010) scores (51·8 ± 0·7) compared with previous (56·2 ± 0·4) and never users (57·7 ± 0·4). Similar differences in total and individual HEI-2015 scores were observed. For the HEI-2015 scores, cannabis users had a significantly higher (better) sodium scores (4·1 ± 0·2) compared with never users (3·3 ± 0·1) and previous users (3·2 ± 0·1). Cannabis users scored lower compared with never users on total vegetables (3·1 ± 0·1 v. 3·7 ± 0·0), total fruit (2·1 ± 0·1 v. 3·0 ± 0·1) and whole fruit (2·2 ± 0·1 v. 3·3 ± 0·1) for the HEI-2015 index. Conclusions: Current cannabis users’ usual intakes reflect lower diet quality compared with never or previous users, particularly lower subcomponent scores of total vegetables, greens and beans, total fruit and whole fruit. Cannabis users should increase their intake of fruit and vegetables to improve overall diet quality.

scholarly journals Diet quality in a sample of adults from Cuiabá (MT), Brazil: association with sociodemographic factors

2013 ◽  
Vol 26 (4) ◽  
pp. 431-441 ◽  
Author(s):  
Anarlete da Silva Loureiro ◽  
Regina Maria Veras Gonçalves da Silva ◽  
Paulo Rogério Melo Rodrigues ◽  
Rosângela Alves Pereira ◽  
Loiva Lide Wendpap ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Poisson Regression ◽  
Formal Education ◽  
Household Head ◽  
Healthy Eating Index ◽  
Alcoholic Beverages ◽  
Dietary Quality ◽  
Cross Sectional ◽  
Mato Grosso

OBJECTIVE: To analyze the dietary quality of adults and to identify associated factors. METHODS: Cross-sectional study carried out in a sample of adults (n=195), aged 20-50 years, of both genders, from a population-based study in Cuiabá, Mato Grosso, Brazil. Food consumption data was collected by a food frequency questionnaire. Sociodemographic, lifestyle, anthropometric, and body composition data were also collected. Diet quality was analyzed by the Brazilian Healthy Eating Index-Revised. The associations were estimated by Poisson regression. RESULTS: The mean Brazilian Healthy Eating Index-Revised score was 75.2 points (CI95%=74.2-76.1), which differed significantly between the genders (p=0.03). Women had higher scores for whole fruit and sodium (p<0.01), while men had higher scores for oils, nuts, and fish fat (p=0.02). Individuals aged >30 years had higher total Brazilian Healthy Eating Index-Revised score and higher scores for the groups whole fruit; saturated fat; and calories from solid fats, alcoholic beverages, and added sugar (p<0.01). The Poisson regression between high Brazilian Healthy Eating Index-Revised and the independent variables showed that high Brazilian Healthy Eating Index-Revised was associated with being female, being aged 30 years or more, and being from families whose household head had 8 or more years of formal education. CONCLUSION: The factors associated with high Brazilian Healthy Eating Index-Revised were age, gender, and education level of the household head.

scholarly journals Diet quality on meatless days: National Health and Nutrition Examination Survey (NHANES), 2007–2012

2017 ◽  
Vol 20 (9) ◽  
pp. 1564-1573 ◽  
Author(s):  
Zach Conrad ◽  
Micaela Karlsen ◽  
Kenneth Chui ◽  
Lisa Jahns
Keyword(s):  
Healthy Eating ◽  
National Health ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Dietary Recall ◽  
Health And Nutrition ◽  
Game Birds

AbstractObjectiveTo compare diet quality scores between adult non-meat eaters and meat eaters, and to compare the consumption of diet components across quintiles of diet quality.DesignCross-sectional analysis. The Healthy Eating Index-2010 (HEI-2010) and Alternative Healthy Eating Index-2010 (AHEI-2010) were used to assess mean diet quality. Differences in consumption of diet components between quintiles of diet quality were tested usingpost hocWald tests andztests.SettingThe National Health and Nutrition Examination Survey (NHANES), 2007–2012.SubjectsThe sample consisted of 16810 respondents aged≥18 years, including 280 individuals who reported not consuming meat, poultry, game birds or seafood on two non-consecutive days of dietary recall. Dietary data were obtained from one dietary recall per individual.ResultsNon-meat eaters had substantially greater HEI-2010 and AHEI-2010 scores than meat eaters (P<0·05). Among non-meat eaters, mean consumption across HEI-2010 quintiles demonstrated different (P<0·05) amounts of empty calories and unsaturated:saturated fatty acids. Mean consumption across AHEI-2010 quintiles demonstrated different (P<0·05) amounts of nuts and legumes, vegetables and PUFA.ConclusionsPublic health messages targeted at vegetarians and others who may choose to eat meat-free on certain days should emphasize decreased consumption of empty calories, and increased consumption of nuts and legumes, PUFA and vegetables, as a way to improve overall dietary quality.

Dietary inflammatory index and healthy eating index-2015 are associated with rheumatoid arthritis

2021 ◽  
pp. 1-21
Author(s):  
Sajedeh Jandari ◽  
Negin Mosalmanzadeh ◽  
Mohammad Reza Shadmand Foumani Moghadam ◽  
Davood Soleimani ◽  
Nitin Shivappa ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Healthy Eating ◽  
Diet Quality ◽  
Odds Ratio ◽  
Dietary Habits ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Dietary Inflammatory Index ◽  
Convenience Sample ◽  
Inflammatory Index

ABSTRACT Objective: Many arthritic patients have the belief that dietary habits can worsen or ameliorate their symptoms. Whether diet quality can modify the risk of rheumatoid arthritis (RA) is an issue of continued scientific debate and interest. Therefore, we aimed to examine the association between both overall diet quality and the overall diet inflammatory potential on the risk of RA. Design: Overall diet quality and the overall inflammatory potential of the diet were evaluated with the use of Dietary Inflammatory Index (DII) and the Healthy Eating Index (HEI)-2015, respectively. Both DII and HEI-2015 scores were calculated based on a validated semi-quantitative Food Frequency Questionnaire (FFQ). Multivariable-adjusted odds of RA were calculated across tertiles of HEI, and Energy-adjusted DII (E-DII) scores using binary logistic regression. Setting: Mashhad, Iran Participants: 50 newly diagnosed RA cases and 100 well-matched healthy people controls. Results: Individuals in the highest tertile of DII scores, indicating the most pro-inflammatory diet, were about three times more likely to have RA than those in the lowest tertile (Odds Ratio: 2.99; 95%CI: 1.08 to 8.24; P-trend:0.037), whereas individuals in the highest tertile of HEI scores, indicating more top dietary quality, had a significantly lower odds of RA than those in the lowest tertile (Odds Ratio: 0.33; 95%CI: 0.12 to 0.87; P-trend:0.024). Conclusion: Our findings show that E-DII and HEI-2015 are positively and negatively associated, respectively, with the odds of RA in a convenience sample of Iranians. These results highlight the importance of overall diet quality in modulating the risk of RA.

scholarly journals Healthy Eating Index Is a Predictor of Early Childhood Caries

2009 ◽  
Vol 88 (4) ◽  
pp. 361-366 ◽  
Author(s):  
M.E. Nunn ◽  
N.S. Braunstein ◽  
E.A. Krall Kaye ◽  
T. Dietrich ◽  
R.I. Garcia ◽  
...  
Keyword(s):  
Early Childhood ◽  
Healthy Eating ◽  
Low Income ◽  
Early Childhood Caries ◽  
Later Life ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Dietary Practices ◽  
Eating Pattern ◽  
Childhood Caries

Early childhood caries (ECC) is a preventable form of dental caries that affects very young children, particularly among low-income families and certain racial/ethnic minorities. The current study examined the relationship of dietary quality, as measured by the Healthy Eating Index (HEI), to the prevalence of ECC in 2- to 5-year-old children. Data from the Third National Health and Nutrition Examination Survey (NHANES III) were used for the study. We used logistic regression to compute adjusted odds ratios (OR) for ECC and 95% confidence intervals (CI). Children with the best dietary practices (uppermost tertile of the HEI) were 44% less likely to exhibit severe ECC compared with children with the worst dietary practices (lowest tertile of the HEI). A healthy eating pattern geared for promotion of optimal child development and prevention of chronic disease in later life may also reduce the risk of early childhood caries, particularly severe early childhood caries.

scholarly journals Association Between Microbe Accessible Carbohydrates (MACs) Intake and Healthy Eating Index (HEI-2015) in the College Students

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1161-1161
Author(s):  
Ajita Jadhav ◽  
Kathleen !Melanson
Keyword(s):  
College Students ◽  
Healthy Eating ◽  
Diet Quality ◽  
Daily Intake ◽  
Healthy Eating Index ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Medium Size ◽  
Dietary Fibers ◽  
Dietary History

Abstract Objectives Young adults tend to consume western diets with low microbe-accessible carbohydrates (MACs), which are fermentable carbohydrates that may reduce the risk of developing non-communicable diseases. The importance of dietary fiber (only one type of MAC) in the prevention of chronic diseases led to recommendations for increasing fiber intake. However, a reference to other MACs such as resistant starches, non-starch polysaccharides, polyols (lactitol, sorbitol, etc.), and oligosaccharides (fructo-oligosaccharides, etc.) is still lacking and their relationship with diet quality is far less understood. The healthy eating index (HEI) score is a measure of diet quality, independent of quantity, and is useful to assess compliance with U.S. Dietary Guidelines for Americans. The primary aim of this study was to determine the MACs consumption in healthy US college students and their association with dietary quality as indicated by the HEI-2015. Methods For this cross-sectional study, data were collected from consenting students (≥ 18years old) in an introductory nutrition course (n = 592, age (mean ± standard deviation) 19.5 ± 3.5; 83.7% white; 78.4% female). Dietary intake was measured via a web-based dietary history questionnaire (DHQ-II), which is able to quantify the consumption of MAC's and subclasses such as polyols and soluble dietary fibers. DHQ website provided step by step instructions to calculate HEI in SAS (SAS enterprise guide 7.4). Linear regression was run to determine the association between the average daily intake of MACs and the HEI-2015 score. Results Average MAC intake was 7.7 ± 4.4 grams with most of the amounts coming from soluble dietary fibers (6.6 ± 3.8). The mean HEI-score of this population was 64.9 ± 10.8. Average daily consumption of MAC was significantly associated with HEI score, F(1,590) = 65.22, P = 0.000, accounting for 10% of the variation in HEI-score with adjusted R2 = 9.8%, a medium-size effect according to Cohen (1988). An extra gram of daily average intake of MAC led to a 0.78 (95% CI, 0.59 to 0.97) increase in HEI-score. Conclusions MAC intake was associated with an increase in HEI-2015 score; however, the total MAC intake was low in this population of college students. Therefore, more efforts are needed to increase the consumption of MACs not just dietary fibers in college students. Funding Sources None.

scholarly journals Diet Quality Index for older adults (DQI-65): development and use in predicting adherence to dietary recommendations and health markers in the UK National Diet and Nutrition Survey

2021 ◽  
pp. 1-39
Author(s):  
Nicole Dorrington ◽  
Rosalind Fallaize ◽  
Ditte A. Hobbs ◽  
Michelle Weech ◽  
Julie A. Lovegrove
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Healthy Eating ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Validity And Reliability ◽  
Dietary Recommendations ◽  
Nutrition Survey ◽  
Cross Sectional

Abstract Diet quality indexes (DQIs) are useful tools for assessing diet quality in relation to health and guiding delivery of personalised nutritional advice, however existing DQIs are limited in their applicability to older adults (aged ≥65 years). Therefore, this research aimed to develop a novel evidence-based DQI specific to older adults (DQI-65). Three DQI-65 variations were developed to assess the impacts of different component quantitation methods and inclusion of physical activity. The variations were: Nutrient and Food-based DQI-65 (NFDQI-65), NFDQI-65 with Physical Activity (NFDQI-65+PA) and Food-based DQI-65 with Physical Activity (FDQI-65+PA). To assess their individual efficacy, the NFDQI-65, NFDQI-65+PA and FDQI-65+PA were explored alongside the validated Healthy Eating Index-2015 (HEI-2015) and Alternative Healthy Eating Index-2010 (AHEI-2010) using data from the cross-sectional UK National Diet and Nutrition Survey (NDNS) rolling programme. Scores for DQI-65 variations, the HEI-2015 and AHEI-2010 were calculated for adults ≥65 years from years 2-6 of the NDNS (n=871). Associations with nutrient intake, nutrient status and health markers were analysed using linear and logistic regression. Higher DQI-65s and HEI-2015 scores were associated with increased odds of meeting almost all of our previously proposed age-specific nutritional recommendations, and with health markers of importance for older adults, including lower body mass index, lower medication use and lower C-reactive protein (P<0.01). Few associations were observed for the AHEI-2010. This analysis suggests value of all three DQI-65s as measures of dietary quality in UK older adults. However, methodological limitations mean further investigations are required to assess validity and reliability of the DQI-65s.

Higher diet quality is associated with higher diet costs when eating at home and away from home: National Health and Nutrition Examination Survey, 2005-2016

2021 ◽  
pp. 1-29
Author(s):  
Zach Conrad ◽  
Sarah Reinhardt ◽  
Rebecca Boehm ◽  
Acree McDowell
Keyword(s):  
Healthy Eating ◽  
National Health ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Food Prices ◽  
Nutrition Examination Survey ◽  
Food Away From Home ◽  
Health And Nutrition ◽  
Food Consumed ◽  
At Home

Abstract Objectives: To evaluate the association between diet quality and cost for foods purchased for consumption at home and away from home. Design: Cross-sectional analysis. Multivariable linear regression models evaluated the association between diet quality and cost for all food, food at home, and food away from home. Setting: Daily food intake data from the National Health and Nutrition Examination Survey (2005-2016). Food prices were derived using data from multiple, publicly available databases. Diet quality was assessed using the Healthy Eating Index-2015 and the Alternative Healthy Eating Index-2010. Participants: 30,564 individuals ≥20 y with complete and reliable dietary data. Results: Mean per capita daily diet cost was $14.19 (95% CI: $13.91-14.48), including $6.92 ($6.73-7.10) for food consumed at home and $7.28 ($7.05-7.50) for food consumed away from home. Diet quality was higher for food at home compared to food away from home (P<0.001). Higher diet quality was associated with higher food costs overall, at home, and away from home (P<0.001 for all comparisons). Conclusions: These findings demonstrate that higher diet quality is associated with higher costs for all food, food consumed at home, and food consumed away from home. This research provides policymakers, public health professionals, and clinicians with information needed to support healthy eating habits. These findings are particularly relevant to contemporary health and economic concerns that have worsened because of the COVID-19 pandemic.

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