scholarly journals Healthy eating index and different fruit dietary habits in Slovak adult female

10.5219/1010 ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 83-93
Author(s):  
Katarína Fatrcová-Šramková ◽  
Marianna Schwarzová ◽  
Tünde Juríková
Keyword(s):  
Adult Female ◽  
Healthy Eating ◽  
Dietary Habits ◽  
Research Work ◽  
Healthy Eating Index ◽  
Average Score ◽  
Fruit Intake ◽  
Future Studies ◽  
Slovak Population ◽  
The Individual

The healthy index is a tool for evaluation of nutrition recommendation aimed at prevention of chronic diseases. A lot of studies have been devoted to HEI of different aged groups of people but dates about Slovak population have been still missed. The goal of the study was to evaluate the Healthy Eating Index (HEI) in nutrition of adult female, determine their components in relation of parameters of anthropometry and body composition. Secondly, the research work was also aimed at the comparison of partial score HEI among groups of female with different fruit intake. Daily nutrition was evaluated by 24 hours dietary recalls. In set of female (average age 31.1 ±9.1 years) the average HEI index reached up 53.0 ±8.8 points in accord with medium degree of diet, it means dietary improvement has been highly recommended. In respect of all assayed components of index the best results achieved the variety of diet (8.8 ±1.3 points) and the worst the natrium intake (0.7 ±2.0 points). The average score for the individual components pointed to neccesary of increase in the grain intake and vegetable, on the other hand the intake of cholesterol, saturated fats and especially natrium should be decreased. The differences between groups with various intake of fruit (with recommended intake and insufficient intake) in the rest 9 components have not been proved as significant. The occurrence of risk values of body index, body fats determined by bioelectric impedance and android risk based on circumference of hips can not be considered between groups as significant. Average HEI has been in significance correlation with age (r = 0.240; p <0.05), circumference of hips (r = 0.2312; p <0.05) and body weight r = 0.1748; p <0.05). Future studies have been needed to evaluate diet according to the HEI in different groups of population in Slovakia.

scholarly journals Role of alternate healthy eating index (AHEI) in communicating the quality of diet

2020 ◽  
Vol 11 (2) ◽  
pp. 96-102
Author(s):  
Krishna Mohandas ◽  
L. Prema
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Dietary Habits ◽  
Mean Value ◽  
Healthy Eating Index ◽  
Overweight And Obesity ◽  
Food Groups ◽  
Good Tool ◽  
The Difference

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.

scholarly journals Racial/Ethnic Differences in Diet Quality and Eating Habits Among WIC Pregnant Women: Implications for Policy and Practice

2019 ◽  
Vol 34 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Alla M. Hill ◽  
Danielle L. Nunnery ◽  
Alice Ammerman ◽  
Jigna M. Dharod
Keyword(s):  
African American ◽  
Pregnant Women ◽  
African American Women ◽  
Healthy Eating ◽  
Diet Quality ◽  
Low Income ◽  
Eating Behaviors ◽  
Dietary Habits ◽  
Healthy Eating Index ◽  
American Women

Purpose: One of the major federal food assistance programs, the Special Supplemental Program for Women, Infants, and Children (WIC), serves approximately 1.5 million low-income pregnant women per year; however, limited information is available on their dietary habits. This is critical because low-income women are at higher risk of gaining excess weight during pregnancy. Thus, the study objectives were to (1) determine the overall diet quality of WIC pregnant women and (2) examine diet quality and eating behaviors by race/ethnicity and other sociodemographics. Design: This was a cross-sectional study. Setting: One of the 3 WIC offices in a north-central county in North Carolina, USA. Sample: Pregnant women (n = 198) in the second trimester. Measures: Interviews included sociodemographics, food security, diet, and eating behaviors. Diet quality was assessed by the Healthy Eating Index (HEI) 2010 scores. Analysis: Descriptives, bivariate analysis, and multivariate analysis. Results: Average participant age was 26 years, and the mean HEI-2010 score was 56 of maximum score of 100. Specifically, African American women consumed significantly lower servings of whole grains (β = −1.71; 95% CI: −3.10 to −0.32; P < .05) and dairy (β = −1.42; 95% CI: −2.51 to −0.33; P < .05) compared with non-Hispanic white women. Hispanic women scored higher in daily intake of fruits (β = 0.98; 95% CI: 0.17-1.79; P < .05) and for consuming empty calories in moderation (β = 1.57; 95% CI: 0.06-3.09; P < .05). Frequency of intake of fast foods/outside meals was higher among African American women (57%, P = .025). Conclusion: Efforts are warranted to promote optimal nutrition among WIC pregnant women. Specifically, African American women are highly vulnerable to poor dietary habits during pregnancy. Further investigation of barriers/facilitators for healthy eating is necessary to address nutrition disparities among WIC pregnant women.

scholarly journals Low Healthy Eating Index-2015 Is Associated With Sarcopenia Among US Adult Population

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 395-395
Author(s):  
Galya Bigman ◽  
Alice Ryan
Keyword(s):  
Healthy Eating ◽  
Smoking Status ◽  
Handgrip Strength ◽  
Adult Population ◽  
Healthy Eating Index ◽  
Dietary Guidelines ◽  
Average Score ◽  
Cross Sectional ◽  
Research Education ◽  
The U.S

Abstract Objectives The Healthy Eating Index-2015 (HEI-2015), which is designed to reflect the 2015–2020 Dietary Guidelines for Americans (DGA), and its association with muscle function decline (i.e., sarcopenia) is less known in the U.S. Our study aim was to examine the associations between HEI-2015 component and total scores with sarcopenia in a nationally representative sample of the U.S. adult population. Methods This cross-sectional study used data from the National Health and Nutrition Examination Surveys of 2011–2014. Sarcopenia was assessed by handgrip strength measure using an average score of six trails (&lt;35.5kg for males, &lt;20.0kg for females). HEI-2015 was computed from data of two 24-hour dietary recalls and comprised 13 components (e.g., vegetables, greens and beans, fruits, dairy, protein foods, whole grains, fatty acid ratio, refined grains, sodium, saturated fats, and added sugars). Each component was scored on density out of 1000 calories and summed to a total score divided into quintiles. Weighted logistic regressions examined the study aim while controlling for associated covariates: age, sex, race/ethnicity, education, body mass index (BMI), physical activity, comorbidity, medication use, smoking status, and alcohol use. Results The sample included 9006 eligible participants aged 20–80 years, of those, 14.4% had sarcopenia, where males had higher sarcopenia prevalence than females (18.4 vs. 10.7%, P &lt; 0.001), and participants with sarcopenia were older (p &lt; 0.001). Scores for HEI-2015 were total: 54.2 ± 13.6 (mean ± SD), and in the lowest and highest quintiles: 35.9 ± 4.8 and 73.9 ± 5.95, respectively. In the multivariable model, participants in the highest HEI-2015 quintile had 28% lower odds of having sarcopenia (Odds Ratio(OR) = 0.72, 95%CI: 0.55–0.94) compared with those in the lowest quintile. Among the HEI-2015 components; consuming adequate amount of protein foods, greens and beans, vegetables, and whole fruits reduced the odd of having sarcopenia by 18–23%. Conclusions The findings suggest that higher compliance to the 2015–2020 DGA might reduce sarcopenia among U.S. adults, particularly adequate intakes of protein foods, greens and beans, vegetables, and whole fruits. Funding Sources Department of Veterans Affairs (VA) Advanced Special Fellowship in Geriatrics, Baltimore Geriatric Research, Education and Clinical Center.

scholarly journals Diabetic Inner- City Kidney Patients Eat Less Sugar and Grains but Also Fewer Healthy Nutrients Than Non-Diabetic Patients

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 551-551
Author(s):  
Iqra Nadeem ◽  
Takisha Morancy ◽  
Kingsley Cruickshank ◽  
Ahmad Saleh ◽  
Giaynel Cordero ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Vitamin C ◽  
Inner City ◽  
Healthy Eating ◽  
Dietary Habits ◽  
Sodium Intake ◽  
Healthy Eating Index ◽  
Diabetic Patients ◽  
Convenience Sample ◽  
Refined Grains

Abstract Objectives We evaluated dietary intake in patients with kidney disease with and without diabetes in inner-city Brooklyn clinics. Methods A face-to-face survey was conducted in a random convenience sample of pts from CKD (23) and transplant (45) clinics. Diet was studied by 24-hour recall using ASA24 software. Healthy Eating Index was calculated using the HEI-15 score and the DASH index as standard. Between group comparison was by t-test unless noted. Results There were 37 males (54%) and 31 (46%) females, 56 (82%) Black, 24/62 (24%) received SNAP benefits. 24 (53%) transplant (TXP) and 13 (57%) CKD pts had diabetes (DIAB). By Chi square, DIAB were more likely to make &lt; $20 K/yr (58% vs 23%, P = 0.015) and be unemployed (89% vs 61%, P = 0.018). DIAB were older (61.8 ± 1.6 vs 50.3 ± 2.25 yrs, P &lt; 0.0001). Creatinine was 1.86 ± 1.09 mg/dl. HbA1c was 11.1 ± 3.1, time with diabetes 206.03 ± 26.9 months. Blood pressure, BMI, albumin, potassium and total cholesterol did not differ but HDL was lower (DIAB 41.8 ± 3.5 vs 55.1 ± 4.3, P = 0.026). DIAB ate fewer calories (1386.5 ± 83.9 vs 1779.9 ± 129.1, P = 0.014), carbohydrates (131.8 ± 10.8 vs 211.8 ± 13.4, P &lt; 0.0001), sugar (41.5 ± 5.2 vs 89.4 ± 9.5, P &lt; 0.0001), added sugar (5.4 ± 0.86 vs 10.15 ± 1.89, P = 0.02) and refined grains (3.01 ± 0.43 vs 4.61 ± 0.59, P = 0.035), less fiber (11.1 ± 1.0 vs 16.1 ± 1.4, p-P = 0.006), vitamin C (49.7 ± 8.9 vs 110.2 ± 23.3, P = 0.014), fruit (0.37 ± 0.1 vs 1.96 ± 0.6, P = 0.009), potassium (1928.3135.8 vs 2578.1 ± 224.9, P = 0.014), magnesium (229.3 ± 16.8 vs 304.4 ± 32.9, P &lt; 0.05) and calcium (548.3 ± 60.1 vs 738.6 ± 67.9, P = 0.04). There was no difference for DASH (3.6 ± 0.15 vs 3.9 ± 0.18) or HEI score (57.8 ± 1.9 vs 59.4 ± 2.3) or dairy, meat, total protein, fat or sodium intake. Conclusions In our population: 1. DIAB pts reported more unemployment and lower income. 2. DIAB pts ate fewer total calories, but similar intake of protein and fat. 3. DIAB pts ate fewer carbohydrates, sugars, added sugars, and refined grains but did not have lower BMI and diabetes control was poor, with lower HDL values. 4. DIAB pts also ate less fresh fruit, potassium, calcium, magnesium, fiber and vitamin C. 5. Education of our pts with kidney disease and diabetes should reinforce positive dietary habits but encourage overall healthy eating that includes fruits and fiber, as patients may be focusing on restricting sugar and carbohydrates to the detriment of other nutrients. Funding Sources None.

scholarly journals Development and evaluation of a method for calculating the Healthy Eating Index-2005 using the Nutrition Data System for Research

2010 ◽  
Vol 14 (2) ◽  
pp. 306-313 ◽  
Author(s):  
Paige E Miller ◽  
Diane C Mitchell ◽  
Priscilla L Harala ◽  
Janet M Pettit ◽  
Helen Smiciklas-Wright ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Healthy Eating Index ◽  
Community Dwelling ◽  
Data System ◽  
Cross Sectional ◽  
Dietary Analysis ◽  
Software Application ◽  
Nutrition Research ◽  
Aging Study ◽  
The Individual

AbstractObjectiveTo develop and evaluate a method for calculating the Healthy Eating Index-2005 (HEI-2005) with the widely used Nutrition Data System for Research (NDSR) based on the method developed for use with the US Department of Agriculture’s (USDA) Food and Nutrient Dietary Data System (FNDDS) and MyPyramid Equivalents Database (MPED).DesignCross-sectional.SettingNon-institutionalized, community-dwelling adults aged 70 years and above.SubjectsTwo hundred and seventy-one adults participating in the Geisinger Rural Aging Study (GRAS) and 620 age- and race-matched adults from the National Health and Nutrition Examination Survey 2001–2002 (NHANES) were included in the analysis. The HEI-2005 scores were generated using NDSR in GRAS and compared to scores generated using FNDDS and MPED in NHANES.ResultsSimilar total HEI-2005 scores (mean 62·0 (se 0·75) in GRAS v. 57·4 (se 0·55) in NHANES) were estimated, and the individual components most strongly correlated with total score in both samples were compared. Cronbach’s coefficient α values of HEI-2005 were 0·52 in GRAS and 0·43 in NHANES.ConclusionsSince NDSR is commonly used for educational purposes, in clinical settings and in nutrition research, it is important to develop methodology for assessing diet quality through the use of HEI-2005 with this dietary analysis software application and its accompanying food and nutrient database. Results from the present study show that HEI-2005 scores can be generated with NDSR using the method described in the present study and the detailed USDA Center for Nutrition Policy and Promotion technical report as guidance.

scholarly journals Sociodemographic and Behavioural Determinants of a Healthy Diet in Switzerland

2015 ◽  
Vol 67 (2) ◽  
pp. 87-95 ◽  
Author(s):  
Pedro Marques-Vidal ◽  
Gérard Waeber ◽  
Peter Vollenweider ◽  
Murielle Bochud ◽  
Silvia Stringhini ◽  
...  
Keyword(s):  
High Education ◽  
Healthy Eating ◽  
Healthy Lifestyle ◽  
High Body Mass Index ◽  
Population Based ◽  
Healthy Eating Index ◽  
Healthy Diet ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
The Individual

Background/Aims: The determinants of a healthy diet have not been studied in Switzerland. This study aimed at assessing the individual and behavioural factors associated with a healthy diet in a Swiss city. Methods: Cross-sectional, population-based study conducted between 2009 and 2013 (n = 4,439, 2,383 women, mean age 57.5 ± 10.3 years) in Lausanne. Food consumption was assessed using a validated food frequency questionnaire. Two Mediterranean diet scores (classic score and specific for Switzerland) and the Harvard School of Public Health alternate healthy eating index were computed. Results: For all three dietary scores considered, living in couple or having a high education were associated with a healthier diet. An unhealthy lifestyle (smoking, sedentary behaviour) or a high body mass index were associated with an unhealthier diet. Participants born in Italy, Portugal and Spain had healthier diets than participants born in France or Switzerland. Women and elderly participants had healthier diets than men and young participants according to 2 scores, while no differences were found for the Swiss-specific Mediterranean score. Conclusions: In Switzerland, healthy eating is associated with high education, a healthy lifestyle, marital status and country of origin. The associations with gender and age depend on the dietary score considered.

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.

Adherence to a healthy eating index from pre-school to school age and its associations with sociodemographic and early life factors

2019 ◽  
Vol 122 (2) ◽  
pp. 220-230
Author(s):  
Marta Pinto da Costa ◽  
Catarina Durão ◽  
Carla Lopes ◽  
Sofia Vilela
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Early Life ◽  
Maternal Education ◽  
Healthy Eating Index ◽  
Preschool Age ◽  
Average Score ◽  
Sociodemographic Characteristics ◽  
School Age ◽  
Early Life Factors

AbstractChildhood is considered an important period for the development of healthy eating behaviours. This study aimed to evaluate the influence of early life factors and sociodemographic characteristics, including early diet quality, on diet quality at 7 years. The sample includes 5013 children evaluated at the ages of 4 and 7 years from the Portuguese birth cohort Generation XXI with complete information on FFQ. A healthy eating index was developed at both ages to assess adherence to the WHO’s dietary recommendations, including eight food groups. Consumption quartiles were obtained for each group at 4 years and assigned a score between 1 and 4. A higher score represents a higher adherence to a better diet (range: 8 to 32). The associations between early life factors and sociodemographic characteristics and the score of the healthy eating index at 7 years were evaluated through linear regression models. The healthy eating index had an average score of 21⋅4 ± 3⋅53 (range: 12 to 32) at 4 years and 20⋅3 ± 3⋅36 (range: 11 to 31) at 7 years. After adjustment for confounders, a positive association was found between the healthy eating index at 4 and 7 years (β = 0⋅384, 95 % CI 0⋅356, 0⋅441). Maternal years of education (β = 0⋅094, 95 % CI 0⋅071, 0⋅116) and dietary score (β = 0⋅182, 95 % CI 0⋅155, 0⋅209) were positively associated with increasing dietary quality from 4 to 7 years. A healthier diet at preschool age, higher maternal education and a healthier diet increase the likelihood of maintaining a high healthy eating index score at school age.

scholarly journals Family influence on the nutritional status and eating habits of six to nine year-old children

2021 ◽  
Vol 34 ◽  
Author(s):  
Gabriela Pap da SILVA ◽  
Sebastião de Sousa ALMEIDA ◽  
Telma Maria BRAGA COSTA
Keyword(s):  
Nutritional Status ◽  
Healthy Eating ◽  
Weight Control ◽  
Eating Habits ◽  
Family Health ◽  
Healthy Eating Index ◽  
Normal Weight ◽  
Family Influence ◽  
Average Score ◽  
Cross Sectional

ABSTRACT Objective To investigate whether caregivers’ attitudes, beliefs, practices, alimentary habits, and nutritional status influence the alimentary habits and nutritional status of children aged six to nine years. Methods This cross-sectional study included 164 children and a family member (caregiver) each (n=164), carried out in the family health units of the municipality of Ribeirão Preto (SP), Brazil. Weight and height measurements were performed; each child was then evaluated by the application of both the Child Feeding Questionnaire and 24h recall (for calculating the Healthy Eating Index Revised), in addition to the assessment of adherence to healthy eating steps of the Ministry of Health, through a questionnaire. Results The results showed that the prevalence of being overweight was 18.3% in children and 32.9% in caregivers, and the prevalence of obesity was 15.9% and 37.9%, respectively. Most of the 56 children categorized as overweight also had overweight caregivers (82.1%; n=46). Concerns regarding children’s weight control were higher among caregivers responsible for overweight children (3.6±1.29). In contrast, caregivers responsible for children below or at normal weight demonstrated a greater tendency toward getting children to eat (3.3±0.97 and 3.9±0.99, respectively). The average score; of the children’s Brazilian Healthy Eating Index Revised (50.0±13.6) was similar to that of their caregivers (56.5±12.1). Conclusions Caregivers have a direct influence on the nutritional status and eating habits of children; therefore, they should be targeted in the processes of nutritional intervention for the prevention and treatment of childhood obesity.

scholarly journals Are French Canadians able to accurately self-rate the quality of their diet? Insights from the PREDISE study

2019 ◽  
Vol 44 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Elise Carbonneau ◽  
Benoît Lamarche ◽  
Jacynthe Lafrenière ◽  
Julie Robitaille ◽  
Véronique Provencher ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Diet Quality ◽  
Dietary Habits ◽  
Healthy Eating Index ◽  
Individual Characteristics ◽  
French Canadians ◽  
Web Based ◽  
C Statistic ◽  
Food Recalls

The main objective of this study was to compare self-rated diet quality with a more comprehensive score of diet quality and to assess the ability of self-rated diet quality to predict adherence to healthy eating guidelines. This study also aimed to evaluate the influence of individual characteristics on the association between self-rated diet quality and the overall diet quality score. As part of the PRédicteurs Individuels, Sociaux et Environnementaux (PREDISE) study, 1045 participants (51% women) from the Province of Québec, Canada, self-rated their diet quality (“In general, would you say that your dietary habits are excellent, very good, good, fair, or poor?”). Three Web-based 24-h food recalls were completed, generating data for the calculation of the Canadian Healthy Eating Index (C-HEI) score, an overall diet quality indicator. Participants rated their diet quality as excellent (2.4%), very good (22.7%), good (49.5%), fair (20.3%), or poor (5.1%). C-HEI scores differed significantly between diet ratings, in the expected direction (p < 0.0001). Self-rated diet quality predicted adherence to healthy eating guidelines (i.e., C-HEI > 68) with a sensitivity of 44.5% and a specificity of 81.5% (C-statistic = 0.63). Sex significantly modified the association between self-rated diet quality and C-HEI score (p interaction = 0.0131); women had higher C-HEI scores than did men in the “good” and “fair” ratings. Self-rated diet quality can be useful in obtaining an overview of the diet quality of a population, but the results of this study suggest that such data should be used with caution given their poor ability to predict adherence to healthy eating guidelines. Individual characteristics may influence one’s ability to appropriately self-evaluate diet quality.

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