scholarly journals Consensus among experts on healthy eating and diet quality index

2020 ◽  
Vol 25 (7) ◽  
pp. 2551-2560
Author(s):  
Simone dos Anjos Caivano ◽  
Semíramis Martins Álvares Domene
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Risk Markers ◽  
Diet Quality Index ◽  
Quality Markers ◽  
Minimum Score ◽  
Meat And Eggs ◽  
Milk And Dairy Products

Abstract The article aims to achieve a consensus about Healthy Eating and Diet Quality Index to enable a validation study on the Diet Quality Index. Experts were identified among authors of articles published from 2010 to 2015 that presented the key worlds healthy eating index and diet quality index. The query was carried out by combining the Delphi technique with the Likert method. To determine a consensus, at least three of the following criteria had to be met: minimum score in each statement (≥ 3,00); standard deviation (< 1,5); frequency of agreement (≥ 51%) and differences between interquartile ranges (< 1,0). Topics regarding Highly palatable foods, oilseeds, and Meat and eggs did not arrived at a consensus in the first round. Experts proposed new themes: Gluten, Meal frequency, Alcohol consumption, and Including nutrients in the diet quality index. Although quality and risk markers in diet are periodically studied, it was only possible to reach consensus on subjects such as fruits, vegetables, milk and dairy products, legumes, and oilseeds as quality markers after theoretical justification. Processed and ready-to-eat foods, highly palatable foods, excessive sweets and fats, and alcohol were readily identified as risk factors.

scholarly journals The interaction between brain-derived neurotrophic factor (BDNF) Val66met polymorphism and dietary indices, The Healthy Eating Index (HEI), The Diet Quality Index-International (DQI-I) , and Phytochemical index (PI) , on anthropometric indices, inflammatory, and oxidative stress markers in patient with type2 diabetes

2021 ◽  
Author(s):  
Zeinab Naeini ◽  
Negin Aghazadeh ◽  
Elmira Karimi ◽  
Zahra Esmaeily ◽  
Faezeh Abaj ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Healthy Eating ◽  
Diet Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Quality Indices ◽  
Val66met Polymorphism ◽  
Diet Quality Index ◽  
Bdnf Val66met Polymorphism ◽  
And Oxidative Stress

Abstract Background: Although many studies suggest an association between BDNF Val66Met with eating disorders and obesity especially in type 2 diabetes mellitus (T2DM), the interaction between BDNF Val66Met polymorphism and diet quality indices in diabetic patients have not been investigated yet. The current study was aimed to evaluate the interaction between the diet quality indices including Healthy Eating Index (HEI), Diet Quality Index-International (DQI-I), Phytochemical Index (PI) and BDNF Val66Mat (rs6265) polymorphism on markers of inflammation, and oxidative stress in T2DM patients.Methods: This current cross-sectional study was conducted on 634 Iranian T2DM patients aged 35–65 years of both genders were randomly recruited. Dietary intakes was estimated by a food frequency questionnaire (FFQ) with 148 food items. All participants were categorized into three categories, based on DQI, HEI, and PI scores. The interactions were tested using analysis of covariance (ANCOVA) in adjusted and unadjusted models.Results: There were significant gene-diet interactions between BDNF Val66Met polymorphism and HEI, DQI, and PI scores in modulating body mass index (BMI) and waist circumference (WC) values. Our results showed that higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values after adjustment (P Interactions < 0.05). We also observed a significant interaction between the DQI scores and Val66Met polymorphism on level of superoxide dismutase (SOD) (p-interaction= 0.01). The highest quartile of DQI was associated with elevated level of SOD in the Val/Met and Met/Met genotype group. Moreover, the interaction between the DQI scores and Val66Met polymorphism on total antioxidant capacity (TAC) tended to be significant.Conclusions: Higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values. There were significant differences for PTX and PGF2A among HEI tertiles. The interaction between the polymorphism and DQI on TAC and SOD levels were significant.

scholarly journals The interaction between brain-derived neurotrophic factor (BDNF) Val66met polymorphism and dietary indices, The Healthy Eating Index (HEI), The Diet Quality Index-International (DQI-I), and Phytochemical index (PI), on anthropometric indices, inflammatory, and oxidative stress markers in patient with type2 diabetes

2021 ◽  
Author(s):  
Fariba Koohdani ◽  
Zeinab Naeini ◽  
Negin Aghazadeh ◽  
Elmira Karimi ◽  
Zahra Esmaeily ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Healthy Eating ◽  
Diet Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Quality Indices ◽  
Val66met Polymorphism ◽  
Diet Quality Index ◽  
Bdnf Val66met Polymorphism ◽  
And Oxidative Stress

Abstract Background: Although many studies suggest an association between BDNF Val66Met with eating disorders and obesity especially in type 2 diabetes mellitus (T2DM), the interaction between BDNF Val66Met polymorphism and diet quality indices in diabetic patients have not been investigated yet. The current study was aimed to evaluate the interaction between the diet quality indices including Healthy Eating Index (HEI), Diet Quality Index-International (DQI-I), Phytochemical Index (PI) and BDNF Val66Mat (rs6265) polymorphism on markers of inflammation, and oxidative stress in T2DM patients.Methods: This current cross-sectional study was conducted on 634 Iranian T2DM patients aged 35–65 years of both genders were randomly recruited. Dietary intakes was estimated by a food frequency questionnaire (FFQ) with 148 food items. All participants were categorized into three categories, based on DQI, HEI, and PI scores. The interactions were tested using analysis of covariance (ANCOVA) in adjusted and unadjusted models.Results: There were significant gene-diet interactions between BDNF Val66Met polymorphism and HEI, DQI, and PI scores in modulating body mass index (BMI) and waist circumference (WC) values. Our results showed that higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values after adjustment (P Interactions < 0.05). We also observed a significant interaction between the DQI scores and Val66Met polymorphism on level of superoxide dismutase (SOD) (p-interaction= 0.01). The highest quartile of DQI was associated with elevated level of SOD in the Val/Met and Met/Met genotype group. Moreover, the interaction between the DQI scores and Val66Met polymorphism on total antioxidant capacity (TAC) tended to be significant.Conclusions: Higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values. There were significant differences for PTX and PGF2A among HEI tertiles. The interaction between the polymorphism and DQI on TAC and SOD levels were significant.

scholarly journals Cocaine and amphetamine-regulated transcript prepropeptide gene (CARTPT) polymorphism interacts with Diet Quality Index-International (DQI-I) and Healthy Eating Index (HEI) to affect hypothalamic hormones and cardio-metabolic risk factors among obese individuals

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mahsa Mahmoudi-Nezhad ◽  
Mahdieh Abbasalizad Farhangi ◽  
Houman Kahroba
Keyword(s):  
Risk Factors ◽  
Gene Polymorphism ◽  
Healthy Eating ◽  
Diet Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Metabolic Risk ◽  
Diet Quality Index ◽  
Healthy Obese ◽  
Apparently Healthy

Abstract Background Epidemiologic studies show that cocaine- and amphetamine-regulated transcript prepropeptide (CARTPT) gene polymorphism modifies diet-obesity relationships. However, the interaction between CARTPT gene polymorphism and diet quality indices have not been investigated yet. The current study was aimed to evaluate the interaction between major dietary indices including Diet Quality Index-International (DQI-I) and Healthy Eating Index (HEI)-2015 and CARTPT gene rs2239670 variants among apparently healthy obese Iranians. Methods This cross-sectional study was carried out by employing 288 apparently healthy obese adults aged 20–50 years with a BMI of 30–40 kg/m2. Diet quality was evaluated by Diet Quality Index-International (DQI-I) and Healthy Eating Index-2015 (HEI-2015) using a 132-items semi-quantitative validated food frequency questionnaire. The CARTPT gene rs2239670 polymorphism was genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) technique. Blood concentrations of glycemic markers, lipid profile, α-melanocyte stimulating hormone (MSH) and agouti-related peptide (AgRP) were also measured. ANCOVA multivariate interaction model was used to analyze gene-diet interactions. Results The significant interactions were identified between CARTPT gene polymorphism and HEI, affecting BMR (PInteraction = 0.003), serum glucose (PInteraction = 0.009) and high density lipoprotein cholesterol HDL concentrations (PInteraction = 0.03) after adjusting for the effects of sex and age. Also we found gene-diet interaction between CARTPT genotypes and DQI-I in terms of fat mass (FM; PInteraction = 0.02), waist circumference (WC; PInteraction < 0.001), body mass index (BMI; PInteraction < 0.001), basal metabolic rate (BMR, PInteraction < 0.001), serum fasting glucose (PInteraction < 0.01) and AgRP (PInteraction = 0.05) in individuals even after adjusting for potential confounders. Conclusion Current study showed the effects of interaction between CARTPT genotype with adherence to HEI and DQI-I scores on obesity-related anthropometric and metabolic risk-factors.

scholarly journals Diet quality assessment indexes

2014 ◽  
Vol 27 (5) ◽  
pp. 605-617 ◽  
Author(s):  
Kênia Mara Baiocchi de Carvalho ◽  
Eliane Said Dutra ◽  
Nathalia Pizato ◽  
Nádia Dias Gruezo ◽  
Marina Kiyomi Ito
Keyword(s):  
General Population ◽  
Quality Assessment ◽  
Healthy Eating ◽  
Diet Quality ◽  
Dietary Patterns ◽  
Nutritional Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Risk Of Disease ◽  
Diet Score

Various indices and scores based on admittedly healthy dietary patterns or food guides for the general population, or aiming at the prevention of diet-related diseases have been developed to assess diet quality. The four indices preferred by most studies are: the Diet Quality Index; the Healthy Eating Index; the Mediterranean Diet Score; and the Overall Nutritional Quality Index. Other instruments based on these indices have been developed and the words 'adapted', 'revised', or 'new version I, II or III' added to their names. Even validated indices usually find only modest associations between diet and risk of disease or death, raising questions about their limitations and the complexity associated with measuring the causal relationship between diet and health parameters. The objective of this review is to describe the main instruments used for assessing diet quality, and the applications and limitations related to their use and interpretation.

scholarly journals Development and Application of a Total Diet Quality Index for Toddlers

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1943
Author(s):  
Melissa C. Kay ◽  
Emily W. Duffy ◽  
Lisa J. Harnack ◽  
Andrea S. Anater ◽  
Joel C. Hampton ◽  
...  
Keyword(s):  
Young Children ◽  
Diet Quality ◽  
Quality Index ◽  
National Sample ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Measurement Tool ◽  
Infants And Toddlers ◽  
Dietary Recall ◽  
Diet Quality Index

For the first time, the 2020–2025 Dietary Guidelines for Americans include recommendations for infants and toddlers under 2 years old. We aimed to create a diet quality index based on a scoring system for ages 12 to 23.9 months, the Toddler Diet Quality Index (DQI), and evaluate its construct validity using 24 h dietary recall data collected from a national sample of children from the Feeding Infants and Toddlers Study (FITS) 2016. The mean (standard error) Toddler DQI was 49 (0.6) out of 100 possible points, indicating room for improvement. Toddlers under-consumed seafood, greens and beans, and plant proteins and over-consumed refined grains and added sugars. Toddler DQI scores were higher among children who were ever breastfed, lived in households with higher incomes, and who were Hispanic. The Toddler DQI performed as expected and offers a measurement tool to assess the dietary quality of young children in accordance with federal nutrition guidelines. This is important for providing guidance that can be used to inform public health nutrition policies, programs, and practices to improve diets of young children.

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.

The utility of household Grocery Purchase Quality Index scores as an individual diet quality metric

2020 ◽  
pp. 1-28
Author(s):  
Haley Wynne Parker ◽  
Carolina de Araujo ◽  
Anne N. Thorndike ◽  
Maya Vadiveloo
Keyword(s):  
Diet Quality ◽  
Quality Index ◽  
Secondary Analysis ◽  
Weighted Kappa ◽  
Healthy Eating Index ◽  
Bachelor's Degree ◽  
Dietary Recommendations ◽  
Household Level ◽  
Individual Level ◽  
Grocery Purchase

Abstract The validated Grocery Purchase Quality Index (GPQI) reflects concordance between household grocery purchases and US dietary recommendations. However, it is unclear whether GPQI scores calculated from partial purchasing records validly reflect individual-level diet quality. Within the 9-month randomized controlled Smart Cart study examining the effect of targeted coupons on grocery purchase quality (n=209), this secondary analysis examined concordance between the GPQI (range 0-75, scaled to 100) calculated from 3-months of loyalty-card linked partial (≥50%) household grocery purchasing data and individual-level Healthy Eating Index (HEI) scores at baseline and 3-months calculated from food frequency questionnaires. HEI and GPQI concordance was assessed with overall and demographic-stratified partially-adjusted correlations; covariate-adjusted percent score differences, cross-classification, and weighted kappa coefficients assessed concordance across GPQI tertiles (T). Participants were mostly middle-aged (55.4(13.9) years), female (90.3%), from non-smoking households (96.4%), without children (70.7%). Mean GPQI (54.8(9.1)%) scores were lower than HEI scores (baseline: 73.2(9.1)%, 3-months: 72.4(9.4)%), and moderately correlated (baseline r=0.41 vs. 3-month r=0.31, p<0.001). Correlations were stronger among participants with ≤ bachelor’s degree, obesity, and children. Concordance was highest in T3. Participants with high (T3) vs. low (T1) GPQI scores had 7.3-10.6 higher odds of having HEI scores >80% at both timepoints. Weighted kappas (k=0.25) indicated moderate agreement between scores. Household-level GPQI derived from partial grocery purchasing data were moderately correlated with self-reported intake, indicating their promise for evaluating diet quality. Partial purchasing data appears to moderately reflect individual diet quality and may be useful in interventions monitoring changes in diet quality.

scholarly journals Scoring models of a diet quality index and the predictive capability of mortality in a population-based cohort of Swedish men and women

2012 ◽  
Vol 16 (3) ◽  
pp. 468-478 ◽  
Author(s):  
Isabel Drake ◽  
Bo Gullberg ◽  
Emily Sonestedt ◽  
Peter Wallström ◽  
Margaretha Persson ◽  
...  
Keyword(s):  
Diet Quality ◽  
Quality Index ◽  
Population Based ◽  
Dietary Recommendations ◽  
Predictive Capability ◽  
Men And Women ◽  
Scoring Model ◽  
Diet Quality Index ◽  
Specific Mortality ◽  
Dietary Indices

AbstractObjectiveTo examine how different scoring models for a diet quality index influence associations with mortality outcomes.DesignA study within the Malmö Diet and Cancer cohort. Food and nutrient intakes were estimated using a diet history method. The index included six components: SFA, PUFA, fish and shellfish, fibre, fruit and vegetables, and sucrose. Component scores were assigned using predefined (based on dietary recommendations) and population-based cut-offs (based on median or quintile intakes). Multivariate Cox regression was used to model associations between index scores (low, medium, high) and all-cause and cause-specific mortality by sex.SettingMalmö, the third largest city in Sweden.SubjectsMen (n 6940) and women (n 10 186) aged 44–73 years. During a mean follow-up of 14·2 years, 2450 deaths occurred, 1221 from cancer and 709 from CVD.ResultsThe predictive capability of the index for mortality outcomes varied with type of scoring model and by sex. Stronger associations were seen among men using predefined cut-offs. In contrast, the quintile-based scoring model showed greater predictability for mortality outcomes among women. The scoring model using median-based cut-offs showed low predictability for mortality among both men and women.ConclusionsThe scoring model used for dietary indices may have a significant impact on observed associations with disease outcomes. The rationale for selection of scoring model should be included in studies investigating the association between dietary indices and disease. Adherence to the current dietary recommendations was in the present study associated with decreased risk of all-cause and cause-specific mortality, particularly among men.

Sign in / Sign up

Export Citation Format

Share Document