622 CORRELATION ANALYSIS BETWEEN MAJOR FOOD GROUPS' CONSUMPTION AND THE RESULTS OF 24-HOURS OESOPHAGEAL PH-IMPEDANCE STUDIES

2021 ◽  
Vol 34 (Supplement_1) ◽  
Author(s):  
Sergey Morozov ◽  
Vasily Kropochev ◽  
Vasily Isakov

Abstract Aim To evaluate association of number of gastroesophageal refluxes detected with oesophageal pH-impedance study with dietary patterns. Methods Food frequency questionnaire (Nutrilogic, Russia) was used to assess diet of subjects enrolled in the study in terms of nutrients consumption and food groups' structure. Dietary patterns were calculated according to the Healthy Eating Index (HEI), for the following major groups of foods: grains, fruits, vegetables, dairy products, meats, fats and confectioneries. The results are shown as a quotient of a division of actual values by the recommended. Oesophageal 24-hours pH-impedance (Ohmega, Laborie, the Netherlands) parameters were analysed. Spearman rank R was used to reveal correlation between number and type of gastroesophageal refluxes (GER) and the dietary patterns assessment. Results Forty consecutive patients (12 with gastroesophageal reflux disease, 28 females, age: 52.2 ± 12.9 y.o.) were enrolled. Mean energy value of the ration was 2302 ± 1391 kcal/day. Pattern of major food groups consumption was as follows: grains 1.4 ± 0.7, vegetables 1.1 ± 0.7, fruits 0.8 ± 0.9, dairy products 0.6 ± 0.6, meats 1.7 ± 1.0, fats 0.6 ± 0.8, confectioneries 0.3 ± 0.5. Mean number of GERs was 43.8 ± 24.4, acid GERs—26.2 ± 20.5 a day. Pattern of dairies consumption correlated with total number of GERs (Spearman R = 0.47, p < 0.05), weak-acid GERs (R = 0.49, p < 0.05), and non-acid GERs (R = 0.62, p < 0.05). Consumption of confectioneries correlated with high (at 17 cm above LES) GERs: R = 0.47, p < 0.05. Conclusion Type and number of gastroesophageal refluxes correlate with major food groups consumption. This preliminary results may serve as a basis for further research in larger comparative trials and may be considered when diet modification is planned for patients with GERD.

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 433-433
Author(s):  
Sergey Morozov ◽  
Vasily Kropochev ◽  
Vasily Isakov

Abstract Objectives To evaluate association of number of gastroesophageal refluxes detected with oesophageal pH-impedance study with dietary patterns Methods Subjects referred to oesophageal pH-impedance examination were invited to participate in the study, approved by LEC. In case of agreement, they were asked to provide data of their usual nutrition based on food frequency questionnaire (Nutrilogic, Russia). Diet was assessed in accordance with healthy eating index, for the following main groups of products: grains, fruits, vegetables, dairy products, meats, fats and confectioneries. The results are shown as a quotient of dividing the actual values by the recommended. Spearman rank R was used to analyse correlation between number of gastroesophageal refluxes (GER) detected with oesophageal pH-impedance examination and dietary patterns assessment. Results Data of 40 consecutive patients (12 of them with confirmed gastroesophageal reflux disease, 28 females, age (Mean ± SD): 52.2 ± 12.9 y.o.) served as the source for the study. Mean energy value of the ration was 2302 ± 1391 kcal/day. Dietary patterns for main food groups was as follows: grains 1.4 ± 0.7, vegetables 1.1 ± 0.7, fruits 0.8 ± 0.9, dairy products 0.6 ± 0.6, meats 1.7 ± 1.0, fats 0.6 ± 0.8, confectionaries 0.3 ± 0.5. Mean number of GERs was 43.8 ± 24.4, acid GERs - 26.2 ± 20.5 per day. Direct medium-strength correlation was found between pattern of dairy products consumption and total number of GERs (Spearman R = 0.47, P < 0.05), weak-acid GERs (R = 0.49, P < 0.05), non-acid GERs (R = 0.62, P < 0.05). Pattern of confectionaries consumption was associated with high (that reached proximal oesophagus, ∼17 cm above LES) GERs: R = 0.47, P < 0.05. Conclusions This preliminary results may serve as a basis for further research in larger comparative trials and may be considered when diet modification is planned for patients with GERD. Funding Sources Russian Science Foundation research grant #19–76-30014.


Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 252
Author(s):  
Mireia Falguera ◽  
Esmeralda Castelblanco ◽  
Marina Idalia Rojo-López ◽  
Maria Belén Vilanova ◽  
Jordi Real ◽  
...  

We aimed to assess differences in dietary patterns (i.e., Mediterranean diet and healthy eating indexes) between participants with prediabetes and those with normal glucose tolerance. Secondarily, we analyzed factors related to prediabetes and dietary patterns. This was a cross-sectional study design. From a sample of 594 participants recruited in the Mollerussa study cohort, a total of 535 participants (216 with prediabetes and 319 with normal glucose tolerance) were included. The alternate Mediterranean Diet score (aMED) and the alternate Healthy Eating Index (aHEI) were calculated. Bivariable and multivariable analyses were performed. There was no difference in the mean aMED and aHEI scores between groups (3.2 (1.8) in the normoglycemic group and 3.4 (1.8) in the prediabetes group, p = 0.164 for the aMED and 38.6 (7.3) in the normoglycemic group and 38.7 (6.7) in the prediabetes group, p = 0.877 for the aHEI, respectively). Nevertheless, women had a higher mean of aMED and aHEI scores in the prediabetes group (3.7 (1.9), p = 0.001 and 40.5 (6.9), p < 0.001, respectively); moreover, they had a higher mean of aHEI in the group with normoglycemia (39.8 (6.6); p = 0.001). No differences were observed in daily food intake between both study groups; consistent with this finding, we did not find major differences in nutrient intake between groups. In the multivariable analyses, the aMED and aHEI were not associated with prediabetes (odds ratio (OR): 1.19, 95% confidence interval (CI): 0.75–1.87; p = 0.460 and OR: 1.32, 95% CI: 0.83–2.10; p = 0.246, respectively); however, age (OR: 1.04, 95% CI: 1.02–1.05; p < 0.001), dyslipidemia (OR: 2.02, 95% CI: 1.27–3.22; p = 0.003) and body mass index (BMI) (OR: 1.09, 95% CI: 1.05–1.14; p < 0.001) were positively associated with prediabetes. Physical activity was associated with a lower frequency of prediabetes (OR: 0.48, 95% CI: 0.31–0.72; p = 0.001). In conclusion, subjects with prediabetes did not show a different dietary pattern compared with a normal glucose tolerance group. However, further research is needed on this issue.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Hyunju Kim ◽  
Cheryl A Anderson ◽  
Emily A Hu ◽  
Zihe Zheng ◽  
Lawrence J Appel ◽  
...  

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.


2020 ◽  
Vol 11 (2) ◽  
pp. 96-102
Author(s):  
Krishna Mohandas ◽  
L. Prema

The food habits of global population has been evolving in such a way that makes unhealthy foods cheaper and widely available and healthy foods costly and less available. Being surrounded by such foods and living in an environment with lesser requirement for physical activity is the primary reason for the pandemic explosion in overweight and obesity. This study is an attempt to analyze the quality of diet with an aim to study the significance of Alternate Healthy Eating Index (AHEI) in predicting the quality of dietary intake. Methodology: The study was conducted in 66 respondents (44 females and 22 males) aged 18-65 years with BMI between 23 kg/m2 to 50 kg/m2. The respondent’s data were collected using a pretested standard questionnaire. The nutrient consumption was calculated from the 24 hour recall and the AHEI scores were derived from recall and food use frequency data. The data were analysed using SAS software. Results: The intake of Energy, protein, fat and carbohydrates were more than their requirement while intake of fibre was not meeting the requirement. The AHEI scores obtained ranged from 36 to 76 with a mean value of 55.6 ± 9.54. A positive linear association for AHEI with BMI (0.0362) and energy intake (0.13) was established through Pearson’s correlation while the association was negative with BMR (-0.14). Paired t test comparing AHEI against the difference between intake and requirement of macronutrients revealed that when the diet quality was good (as indicated by AHEI>51), the difference in intake exhibited a significant linear relationship with p values <0.001 while no relation was established when the diet quality was poor. Conclusion: AHEI encompasses all nutrients and food groups relevant to metabolic health and it can be used as a good tool to assess the quality of dietary habits of overweight and obese subjects.


2019 ◽  
Vol 29 (6) ◽  
pp. 589-595
Author(s):  
Daniel P. Joaquim ◽  
Claudia R. Juzwiak ◽  
Ciro Winckler

This study aimed to assess the diet quality of Brazilian Paralympic track-and-field team sprinters and its variation between days. All sprinters (n = 28) were invited, and 20 (13 men and seven women) accepted the invitation consisting of 13 athletes with visual impairment, four with cerebral palsy, and three with limb deficiency. The dietary intake was recorded by photographic register on four consecutive days, and diet quality was determined using a revised version of the Healthy Eating Index for the Brazilian population. Physical activity was assessed using an accelerometer, and metabolic unit information was used to classify exercise intensity. Variance Analysis Model and Bonferroni multiple comparisons were used to assess relationships between variables. The correlations between variables used Pearson linear correlation coefficient. The results show that revised version of the Healthy Eating Index score was classified as “needs to be modified” for all athletes. The maximum score for the components “Whole fruits,” “Total vegetables,” and “Dark green and orange vegetables and legumes” was achieved by 23.1% and 14.3%, 7.7% and 14.3%, and 46.2% and 57.8% of male and female athletes, respectively. Only 38.5% of the male athletes achieved the maximum score for the “Total cereal” component. Female athletes achieved higher scores than male athletes for the “Milk and dairy products” component (p = .03). Intake of whole grain cereals, dairy products, vegetables, and whole fruits needs modifications to improve adequate intake of vitamins and antioxidants, highlighting the need of continuous actions of nutrition education for this population.


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Victoria Miller ◽  
Patrick Webb ◽  
Renata Micha ◽  
Dariush Mozaffarian

Abstract Objectives Meeting most of the UN Sustainable Development Goals (SGDs) will require a strong focus on tackling all forms of malnutrition─ addressing maternal and child health (MCH) as well as diet-related non-communicable diseases (NCDs). Yet, the optimal metrics to define a healthy diet remain unclear. Our aim was to comprehensively review diet metrics and assess the evidence on each metric's association with MCH and NCDs. Methods Using comprehensive searches and expert discussions, we identified metrics that i) are used in ≥3 countries to link diet to health, ii) quantify the number of foods/food groups consumed and/or iii) quantify recommended nutrient intakes. We reviewed and summarized each metric's development, components and scoring. For each identified metric, we systematically searched PubMed to identify meta-analyses or narrative reviews evaluating these metrics with nutrient adequacy and health outcomes. We assessed validity by grading the number of studies included and the consistency of the diet metric-disease relationship. Results We identified 6 MCH, 13 NCD and 0 MCH/NCD metrics. Most were developed for describing adherence to dietary guidelines or patterns, and others were developed for predicting micronutrient adequacy. On average, the metrics included 14 food groups/nutrients (range 4–45), with 10 food-group only metrics and 0 nutrient-only metrics. The most frequent metric components were grains/roots/tubers, fruits and vegetables. We identified 16 meta-analyses and 14 narrative reviews representing 102 metric-disease relationships (98 metric-NCD and 4 metric-MCH relationships, respectively). We found 5 metrics that have been consistently validated in meta-analyses and narrative reviews for NCDs, 1 metric with limited evidence for MCH, but 0 metrics for both. Of the metrics, the Alternative Healthy Eating Index (aHEI), Dietary Approaches to Stop Hypertension (DASH), Healthy Eating Index (HEI), and Mediterranean Diet Score (MED) were most commonly validated, especially for all-cause mortality and cardiovascular disease (Figure 1). Conclusions Few diet metrics have been used in multiple countries to define a healthy diet. This suggests a serious gap in global analyses of diet quality relating to malnutrition in all its forms, which hinders effective policy action. Funding Sources Gates Foundation. Supporting Tables, Images and/or Graphs


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Abigail Johnson ◽  
Pajau Vangay ◽  
Dan Knights

Abstract Objectives Previous studies have defined dietary patterns for comparison with microbiome features using factor analysis from food frequency questionnaires. In this study, we applied a new tree-based method to directly define dietary patterns from 24-hour food records. We aimed to determine if these patterns corresponded with microbial features. Methods Daily fecal samples and daily 24-hour food records (ASA24–2016) were collected from 32 healthy adults over 17 days. Dietary patterns were derived using all reported foods for each subject. Foods were arranged into a tree structure using USDA food groups. Tree-based weighted Unifrac food distances (QIIME 1.9.1) were used for principal coordinate analysis to define five dietary patterns. Each pattern was named after its most influential food groups. Average microbiome composition was determined from metagenomic sequencing. Dietary patterns were compared with subjects’ average microbiome composition using correlation analysis. Spearman correlations were corrected for multiple comparisons within each taxonomy level. Constrained redundancy analysis (RDA) was used to determine the explanatory power of dietary patterns. Results Four of the five most discriminatory dietary patterns (DPs) were associated with microbial taxa (A). DP1 was positively correlated with an unclassified family in the order Burkholderiales and negatively correlated with the species Lachnospiraceae bacterium TF01–11. DP3, DP4, DP5 were most representative of a western diet. DP3 was negatively correlated with family Pasteurellaceae. DP4 was positively correlated with family Erysipelotrichaceae and negatively correlated with family Sutterellaceae. DP5 was positively correlated with members of class Bacteroidia including two specific Bacteroides speciesHMSC073E02 and HMSC067B03. Constrained RDA using the five dietary patterns revealed a gradient of Phylum Bacteroidetes along an axis driven by DP3, DP4, and DP5 (B). Conclusions The dietary patterns derived using our tree-based method reveal relationships between diet microbial taxa. In agreement with previous studies, our tree-based patterns show that the western diet corresponds to increased Bacteroidetes, demonstrating the utility of this method. Funding Sources Funding for this study was provided by General Mills. Supporting Tables, Images and/or Graphs


2020 ◽  
Vol 34 (12) ◽  
Author(s):  
Zahra Asadi ◽  
Roshanak Ghaffarian Zirak ◽  
Mahdiyeh Yaghooti Khorasani ◽  
Mostafa Saedi ◽  
Seyed Mostafa Parizadeh ◽  
...  

2013 ◽  
Vol 111 (7) ◽  
pp. 1275-1282 ◽  
Author(s):  
Sofia Vilela ◽  
Andreia Oliveira ◽  
Elisabete Ramos ◽  
Pedro Moreira ◽  
Henrique Barros ◽  
...  

The present study aimed to evaluate the association between the consumption of energy-dense foods at 2 years of age and the consumption of foods and diet quality at 4 years of age. The sample included 705 children evaluated at 2 and 4 years of age, as part of the population-based birth cohort Generation XXI (Porto, Portugal). Data on sociodemographic and lifestyle factors of both children and mothers were collected by face-to-face interviews. The weight and height of children were measured by trained professionals. Based on FFQ, four energy-dense food groups were defined: soft drinks; sweets; cakes; salty snacks. A healthy eating index was developed using the WHO dietary recommendations for children (2006) aged 4 years. The associations were evaluated through Poisson regression models. After adjustment for maternal age and education, child's carer, child's siblings and child's BMI, higher consumption of energy-dense foods at 2 years of age was found to be associated with higher consumption of the same foods 2 years later. An inverse association was found between the intake ( ≥ median) of soft drinks (incidence rate ratio (IRR) = 0·74, 95 % CI 0·58, 0·95), salty snacks (IRR = 0·80, 95 % CI 0·65, 1·00) and sweets (IRR = 0·73, 95 % CI 0·58, 0·91) at 2 years of age and the consumption of fruit and vegetables at 4 years of age ( ≥ 5 times/d). Weekly and daily consumption of energy-dense foods at 2 years of age was associated with a lower healthy eating score at 4 years of age (IRR = 0·75, 95 % CI 0·58, 0·96; IRR = 0·56, 95 % CI 0·41, 0·77, respectively). The consumption of energy-dense foods at young ages is negatively associated with the diet quality of children a few years later.


2007 ◽  
Vol 98 (2) ◽  
pp. 416-421 ◽  
Author(s):  
Kyung Ok Shin ◽  
Se-Young Oh ◽  
Hyun Suh Park

Prevailing dietary patterns and their association with nutritional outcomes are poorly understood, particularly for children in Korea. Our purposes were to identify major dietary patterns and to examine their associations with overweight among young children in Korea. For 1441 preschool children, usual diet was assessed by a FFQ, from which thirty-three food groups were created and entered into a factor analysis. We identified three dietary patterns by relative intake frequency of (1) vegetables, seaweeds, beans, fruits, milk and dairy products (Korean healthy pattern); (2) beef, pork, poultry, fish and fast foods (animal foods pattern); and (3) ice cream, soda, chocolate, cookies and candies (sweets pattern). The Korean healthy pattern was associated with better health status. As compared with the lowest quintile, the multivariate-adjusted OR of the highest quintile for health status inferior or similar to their peers was 0·59 (95 % CI 0·42, 0·84). Likelihood of being overweight was higher among those in the highest quintile (OR 1·77 (95 % CI 1·06, 2·94)) v. the lowest quintile regarding the animal foods pattern. These findings suggest that major dietary patterns are predictors of overweight and health status in Korean preschool children.


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