Days Of Dietary Recalls Research Articles

Iodine Intake Trends in United States Girls and Women between 2011 and 2020

BackgroundUsual intakes of iodine in United States girls and women, including pregnant and lactating women have not been adequately studied. Adequate intake of iodine is critical for neurodevelopment of girls, thyroid functions, and reproductive health of women. ObjectivesThis study aimed to examine the adequacy and trends of iodine intake of United States girls and women between 2011 and 2020. MethodsWe mapped the sources of United States girls and women’s iodine intake from the 29 food groups between 2011 and 2020 using United States Department of Agriculture’s iodine data release 2. The total food intakes from 2 d of dietary recall of the United States National Health and Nutritional Examination Survey and estimated iodine concentrations of the food groups were used to calculate the usual iodine intakes of female participants. Trends of usual intakes, urinary iodine concentrations (UIC), and estimated intake adequacy were calculated. ResultsMedian usual intakes of iodine estimated from diet and supplements and UIC of United States girls and nonpregnant, nonlactating women declined between 2011 and 2020 in all 3 age groups: ≤14 y, 15–49 y old, and ≥50 y. Median usual intakes of iodine for pregnant and lactating United States women declined as well. Inadequacy levels of usual iodine intake were 9.9% for nonpregnant, nonlactating women of reproductive age 15–49 y old, 40.3% for lactating, and 10.2% for pregnant women in the 2017–2020 period. Intake insufficiencies estimated from UIC were 48.8%, 63.2%, and 31.3% for nonpregnant, nonlactating women of reproductive age 15–49 y old, pregnant and lactating women, respectively, in the 2017–2020 period. A significant decline in milk consumption might be one of the major contributors to the dietary iodine decline in United States women. ConclusionsIodine intake of United States girls and women were on the decline between 2011 and 2020 and the increased inadequacy of iodine intake deserves public health attention.

The Association Between Dietary Quality Indicators from Supermarket Food Purchases and Multiple Days of Dietary Recall

The Association Between Dietary Quality Indicators from Supermarket Food Purchases and Multiple Days of Dietary Recall

Children and Adolescents in the United States with Usual High Added Sugars Intake: Characteristics, Eating Occasions, and Top Sources, 2015-2018.

Background: High consumption of added sugars is related to adverse health consequences. Objective: The objective of this study was to examine characteristics of US youth who report high intakes of added sugars, as well as the eating occasions and top sources of added sugars that contributed to intakes among consumers with high added sugars intake. Design and participants/setting: We conducted a cross-sectional study using 2015−2018 NHANES data among 5280 US youths (2−19 years). Main outcome measures: Outcome measure was usual percent of calories from added sugars using 2 days of dietary recall based on the National Cancer Institute method. High consumers were defined as consuming greater than 15% of total daily calorie intake from added sugars (1.5 times higher than the 2020−2025 Dietary Guidelines for Americans recommendation of <10% of total daily calorie intake). Explanatory measures were selected sociodemographics (e.g., age, sex, race/ethnicity). Eating occasions were breakfast, lunch, dinner, and snack. Statistical analyses performed: We used t-tests to compare mean differences between sociodemographic groups. Results: Overall, 34% of US youths were classified as high consumers of added sugars. The prevalence of high consumers of added sugars significantly varied by some sociodemographics (i.e., age, race/ethnicity, and head of household’s education level). The prevalence of high added sugars consumers was significantly greater among 12−19-year-olds (41%) and 6−11-year-olds (37%) compared to 2−5-year-olds (19%), non-Hispanic Black (42%) and non-Hispanic White (42%) persons compared to Hispanic persons (19%), and those with a head of household’s education level of high school/some college (40%) compared to households with college degree or higher (29%). The prevalence of high consumers did not differ by sex, income, or weight status. Of eating occasions, the amount of added sugars youths consumed was highest during snack occasions among high consumers. Top five sources of added sugars among high consumers on a given day were sweetened beverages, sweet bakery products, candy, other desserts, and ready-to-eat cereals. Conclusion: One in three US youths consumed more than 15% of total calories from added sugars. High added sugars intake was more prevalent among certain subgroups such as 12−19-year-olds and non-Hispanic Black or non-Hispanic White youth. Our findings can provide information for intervention efforts to decrease added sugars intake to promote child health.

The Mediating Role of Dietary Inflammatory Index in the Association between Eating Breakfast and Obesity: A Cross-Sectional Study.

Obesity is closely related with diet, including the regularity of meals and inflammation in the diet. No previous study focused on the associations among eating breakfast, which is regarded the most important meal, dietary inflammation, and obesity. This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018, with 23,758 participants involved. Obesity and dietary inflammation were measured by body mass index (BMI) and dietary inflammatory index (DII), respectively. Eating breakfast was defined by two days of dietary recalls based on NHANES dietary data. Pro-inflammatory diet and skipping breakfast were positively associated with obesity in the whole population. Compared with eating breakfast in both recalls, skipping breakfast had the higher OR of obesity, especially for individuals who reported no recall. Participants with diabetes were the sensitive population of these associations. Compared with participants who reported breakfast in both recalls, the mediated proportion of participants reported breakfast in one recall and in no recall were 24.71% and 27.34%, respectively. The association between eating breakfast and obesity was partly mediated by DII. We recommended eating breakfast regularly to reduce dietary inflammation, as well as further obesity, especially for diabetic populations.

Healthy Eating Index (HEI) Scores Are Higher Among Older Adults Who Do Not Consume Frozen Meals Than Frequent Consumers: A Cross-Sectional Analysis of NHANES 2015–2018

ObjectivesThis study utilized the Healthy Eating Index (HEI) to assess dietary quality by the frequency of frozen meal consumption among community-dwelling older adults. MethodsA sample of 2,730 participants, ≥60 years and not participating in meal programs through the Older Americans Act, was selected from the National Health and Nutrition Examination Survey (NHANES) 2015–2018. Frequency of frozen meal consumption was recoded into non-consumers, occasional consumers, and frequent consumers (0, 1–2, and 3+ times per month, respectively). The HEI 2015 was calculated using two days of dietary recalls. Linear regression analysis was used to assess the relationships between HEI and frozen meal consumption while adjusting for gender, race/ethnicity, marital status, education, and body mass index. ResultsThe percentage of participants classified as non-consumers, occasional consumers, and regular consumers was 58.0%, 24.7%, and 17.3%, respectively. Mean HEI scores for non-consumers, occasional consumers, and regular consumers of frozen meals were 57.1 ± 0.7, 54.2 ± 0.9, and 53.5 ± 1.0, respectively. Compared to non-consumers, frequent consumers had significantly lower HEI scores (ẞ = –2.76, p < 0.03). There were no significant differences in HEI scores when comparing occasional consumers to non-consumers (ẞ = 2.22, p = 0.06) and frequent consumers (ẞ = –0.52, p = 0.66). ConclusionsFrequent consumption of frozen meals is associated with reduced diet quality among community-dwelling older adults. Older adults may benefit from nutrition education from Registered Dietitians on selecting healthy options when eating frozen meals. Additionally, participation in nutrition assistance programs for older adults may promote improved diet quality. Funding SourcesThe authors have no funding sources to disclose for this research.

Losing sleep by staying up late leads adolescents to consume more carbohydrates and a higher glycemic load.

This study examined how short sleep impacts dietary consumption in adolescents by testing whether experimentally shortening sleep influences the amount, macronutrient content, food types, and timing of food consumed. Ninety-three adolescents completed a within-subjects crossover paradigm comparing five nights of short sleep (6.5-hour sleep opportunity) to five nights of Healthy Sleep (9.5-hour sleep opportunity). Within each condition, adolescents completed three multiple-pass dietary recalls that recorded the types, amount, and timing of food intake. The following outcomes were averaged across days of dietary recall within condition: kilocalories, grams of carbohydrates, fat, protein, and added sugars, glycemic load of foods, and servings of specific types of foods (low-calorie drinks, sweetened drinks, fruits/vegetables, meats/proteins, processed snacks, "fast food" entrees, grains, and sweets/desserts). Timing of consumption of kilocalorie and macronutrient outcomes were also examined across four noncumulative time bins: 06:00-10:59, 11:00-15:59, 16:00-20:59, and 21:00-01:00. Adolescents slept 2 h and 20 min longer in Healthy Sleep than in Short Sleep (p < .0001). While in Short Sleep, adolescents ate more grams of carbohydrates (p = .031) and added sugars (p = .047), foods higher in glycemic load (p = .013), and servings of sweet drinks (p = .023) and ate fewer servings of fruits/vegetables (p = .006) compared to Healthy Sleep. Differences in consumption of kilocalories, fat, and carbohydrates emerged after 9:00 pm (ps = .012, .043, .006, respectively). These experimental findings suggest that adolescents who have insufficient sleep exhibit dietary patterns that may increase the risk for negative weight and cardiometabolic outcomes. Future health promotion efforts should include promoting optimal sleep to increase healthy dietary habits.

Association between dietary quality and growth of the aboriginal primary school children in Negeri Sembilan

PurposeThis study aims to determine the association between dietary quality and growth of the aboriginal primary school children in Negeri Sembilan, Malaysia.Design/methodology/approachThe cross-sectional study was carried out in Negeri Sembilan. A total of 194 school-aged aboriginal children participated in the study. The dietary intake and socioeconomic status data were collected from the parents using an interviewer-administrated structured questionnaire comprised of sociodemographic questions and three days of dietary recall. The Malaysian Healthy Eating Index was used to determine the diet quality of children. WHO Anthro Plus software was used to determine the z-score of weight-for-age (WAZ), height-for-age (HAZ) and body mass index (BMI)-for-age (BAZ).FindingsAmong all children, 15, 9 and 5% of them were stunted, underweight and thin, respectively. On the other hand, 16 and 12% of the children were overweight and obese, respectively. The aboriginal children were at risk of poor diet quality (37.19 ± 12.07) and had high dietary protein and fat intake than national recommended nutrient intake. The children achieved micronutrients intake, except for calcium. There was no significant association between total diet quality scores with growth indices among the aboriginal children. There is significant negative correlation between dietary vitamin A intake with HAZ (r = −0.168, p < 0.05) and WAZ (r = −0.219, p < 0.05) z-score of the aboriginal children.Originality/valueAlthough there was a reduction in under-nutrition among the aborigines, an increasing over-nutrition status among aborigines should be considered, especially in terms of poor dietary quality and intake.

Mindful Eating is Associated with Higher Healthy Eating Index Scores among Women who are Overweight or Obese

Explain the relationship between mindful eating and Healthy Eating Index Scores. Mindful eating (ME) is defined as intentionally attending to eating experiences and internal body sensations in a non-judgmental manner. Mindful eating interventions have improved stress-related eating, which is associated with increased consumption of highly palatable foods. The purpose of this study was to examine the relationship between ME and overall dietary quality among adult women who were overweight or obese. Sixty-seven pre-menopausal, women [body mass index (BMI) of 25-40 kg/m2] completed three days of dietary recalls, and an online survey that included the Mindful Eating Questionnaire (MEQ), the Emotion- and Stress-Related Eating (ESRE) sub-scale of the Eating and Appraisal Due to Emotions and Stress Questionnaire, and the Perceived Stress Scale (PSS). Higher scores represent more mindful eating, less ESRE, and greater perceived stress. Healthy Eating Index 2015 (HEI) was computed from three days of dietary intake. Multiple regression analysis was used to assess the relationships between HEI scores, MEQ, ESRE, and PSS. Average HEI, MEQ, ESRE, and PSS scores were 53.4 +/- 12.3, 3.2 +/- 0.5, 3.2 +/- 0.9, and 16.9 +/- 6.2, respectively. HEI scores were significantly related to MEQ (β=13.4, t=3.1, p=0.003), ESRE (β= -10.7, t=-3.8, p=<0.001), and PSS (β=-062, t=-2.4, p=0.02). MEQ scores are related to ESRE scores (β= 0.46, t=8.4, p=<0.001). In this sample of women who were overweight or obese, mindful eating practices were associated with better dietary quality. Women who cope with stress through eating may benefit from a mindful eating intervention.

Data-Driven Dietary Patterns, Nutrient Intake and Body Weight Status in a Cross-Section of Singaporean Children Aged 6–12 Years

Pattern analysis of children’s diet may provide insights into chronic disease risk in adolescence and adulthood. This study aimed to assess dietary patterns of young Singaporean children using cluster analysis. An existing dataset included 15,820 items consumed by 561 participants (aged 6–12 years) over 2 days of dietary recall. Thirty-seven food groups were defined and expressed as a percentage contribution of total energy. Dietary patterns were identified using k-means cluster analysis. Three clusters were identified, “Western”, “Convenience” and “Local/hawker”, none of which were defined by more prudent dietary choices. The “Convenience” cluster group had the lowest total energy intake (mean 85.8 ± SD 25.3% of Average Requirement for Energy) compared to the other groups (95.4 ± 25.9% for “Western” and 93.4 ± 25.3% for “Local/hawker”, p < 0.001) but also had the lowest calcium intake (66.3 ± 34.7% of Recommended Dietary Allowance), similar to intake in the “Local/hawker” group (69.5 ± 38.9%) but less than the “Western” group (82.8 ± 36.1%, p < 0.001). These findings highlight the need for longitudinal analysis of dietary habit in younger Singaporeans in order to better define public health messaging targeted at reducing risk of major noncommunicable disease.

Mindful Eating Is Related to Lower Intake of Energy and Added Sugars Among Overweight, Premenopausal Women

Abstract Objectives Mindful eating (ME) is the act of engaging in intentional awareness to eating experiences and internal body sensations in a non-judgmental manner. ME interventions have improved stress-related eating, which is associated with increased energy intake from highly palatable foods. The purpose of this study was to examine relationships between ME and dietary intake. Methods Premenopausal, overweight/obese [body mass index (BMI) of 25–40 kg/m2], women (n = 65), ages 25–50 years, completed three days of dietary recalls using the Automated Self-administered Recall System (ASA24) and an online survey including the Mindful Eating Questionnaire (MEQ). A 5-point Likert Scale was used to assess MEQ responses with higher scores reflecting greater ME. Linear regression was used to assess relationships between MEQ scores and energy intake, as well as, energy from saturated fat and added sugars. Results The average MEQ score was 3.22 (SD = 0.48). On average, participants consumed 1852 (SD = 540) kcals with 12.8% (SD = 3.5) and 10.8% (SD = 6.3) kcals from saturated fat and added sugars, respectively. MEQ scores were inversely related to overall energy intake (β = −349, F = 6.95, P = 0.01), and percentage of energy from added sugars (β = −3.44, F = 4.77, P = 0.03). Saturated fat intake was not related to MEQ scores. Energy intake was inversely related to only three of the five MEQ subscales: eating with awareness (β = −273, F = 7.40, P = 0.01), stress/emotional eating (β = −140, F = 4.49, P = 0.04), and distracted eating (β = −194, F = 6.13, P = 0.02). Conclusions Overweight/obese women consumed significantly less energy by paying attention to flavors, colors, textures, and tastes of food, eating meals without distractions, and coping with stress through means other than food. Interestingly, energy intake was unrelated to eating based on biological or environmental cues. Funding Sources Dietitians in Integrative and Functional Medicine DPG, Academy of Nutrition and Dietetics and Research Grant Committee, University of Alabama.

Comparative analysis of diet and tobacco use among households in Bangladesh.

INTRODUCTIONWhile studies from developed countries have reported dietary differences between tobacco users and non-users, less is known about the influence of tobacco on diet in developing countries where malnutrition is a major public health challenge.METHODSIn this study we used the nationally representative Household Income Expenditure Survey 2010 from Bangladesh. Detailed household-level food consumption data including both ethnic and region-specific foods were collected over 14 days, consisting of 7 visits each collecting two days of dietary recall information.RESULTSOut of 12240 households, 2061 consumed smoking tobacco only (16.8%), 3284 consumed smokeless tobacco only (26.8%), and 3348 consumed both (27.4%). Overall, 71% of the households reported expenditure on tobacco (smoking and/or smokeless) and were considered any-tobacco use households. Our results indicate that after controlling for household expenditure, household size, household child to adult ratio, place of residence (urban/rural), and region fixed effects, any-tobacco households consumed significantly lower amounts (g/day) of milk and dairy products (β = -17.11, p<0.01) and oil/fat (β = -10.30, p<0.01) compared to tobacco non-use households (β: adjusted mean difference in food amount g/day/household). Conversely, consumption of cereal grains (β = 152.46, p<0.0001) and sugar (β = 8.16, p<0.0001) were significantly higher among any-tobacco households compared to non-tobacco households. We observed similar patterns for smoking-only, smokeless-only, and dual tobacco product households.CONCLUSIONEvidence of dietary differences between tobacco-use and non-use households may play an important role in developing strategies to address poor diet and malnutrition among tobacco-use households in a developing country like Bangladesh. This study provides one of the first reports addressing diet in relation to tobacco use from a developing country, particularly using nationally representative data. The finding that tobacco-use households have poorer dietary consumption than non-use households suggests that it is important to address tobacco use in the context of nutrition and development programs in low-income environments.

What matters most - what parents model or what parents eat?

PurposeParents have a strong influence on their children's eating habits; however, researchers struggle to identify which food parenting practices to recommend. This study examined the influence of parents modeling of healthy eating (“parent role modeling”) and parents' actual food intake (“parent dietary intake”) on child diet quality, and explored whether these practices work together to influence children's diets. MethodsBaseline data from a larger intervention trial were used for this analysis. The sample included parents of preschool-age children from households with at least one overweight parent. The Comprehensive Feeding Practices Questionnaire was used to assess parent modeling of healthy eating (“healthy modeling”). Three days of dietary recalls were used to collect parents' report of their own intake and their children's intake (excluding food at child care). Associations between parent healthy modeling and parent intake of healthy and unhealthy foods were explored using Pearson correlations. Associations between parent healthy modeling and parent Healthy Eating Index (HEI) score on child HEI score were examined with linear regression. Additionally, the interaction between parent healthy modeling and HEI score on child HEI score was tested. ResultsParent healthy modeling was significantly correlated with parent intake of healthy foodsLinear regression showed a significant association between parent modeling and child HEI score, even after controlling for parent diet (β = 3.08, SE = 0.87, p < 0.001). Children whose parents had high parent healthy modeling scores had higher HEI scores (mean = 61.5 ± 10.4) regardless of parent HEI score. We did not find evidence that parent healthy modeling and diet quality interact to influence child diet quality. ConclusionsParents' healthy modeling is an important practice in influencing children's diet quality, possibly more so than the quality of parents' diets.

Prevalence of Major Behavioral Risk Factors for Type 2 Diabetes.

We examined the proportion of American adults without type 2 diabetes that engages in lifestyle behaviors known to reduce type 2 diabetes risk. We conducted a cross-sectional analysis of 3,679 nonpregnant, nonlactating individuals aged ≥20 years without diabetes (self-reported diagnosis or glycated hemoglobin ≥6.5% [8 mmol/mol] or fasting plasma glucose ≥126 mg/dL) and who provided 2 days of reliable dietary data in the 2007-2012 National Health and Nutrition Examination Surveys (NHANES). We used the average of 2 days of dietary recall and self-reported leisure-time physical activity to assess whether participants met type 2 diabetes risk reduction goals (meeting four or more MyPlate recommendations [adequate consumption of fruits, vegetables, dairy, grains, meat, beans, and eggs]; not exceeding three maximum allowances for alcoholic beverages, added sugars, fat, and cholesterol; and meeting physical activity recommendations [≥150 min/week]). Approximately 21%, 29%, and 13% of individuals met fruit, vegetable, and dairy goals, respectively. Half (51.6%) met the goal for total grains, compared with 18% for whole grains, and 54.2% met the meat/beans goal and 40.6% met the oils goal. About one-third (37.8%) met the physical activity goal, and 58.6% met the weight loss/maintenance goal. Overall, 3.1% (95% CI 2.4-4.0) of individuals met the majority of type 2 diabetes risk reduction goals. Younger age and lower educational attainment were associated with lower probability of meeting goals. A small proportion of U.S. adults engages in risk reduction behaviors. Research and interventions targeted at young and less-educated segments of the population may help close gaps in risk reduction behaviors.

Diet quality on meatless days: National Health and Nutrition Examination Survey (NHANES), 2007-2012.

To 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. Cross-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 using post hoc Wald tests and z tests. The National Health and Nutrition Examination Survey (NHANES), 2007-2012. The 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. Non-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. Public 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.

Characterizing the Dietary Landscape of Children, 12 to 35 Months Old

Dietary intakes in childhood are one of several factors that influence food and beverage choices later in life. Nationally representative dietary data of US children aged 1 and 2 years (toddlers) (n = 469) participating in the “What We Eat in America” component of the 2011-2012 National Health and Nutrition Examination Survey were analyzed to assess food, beverage, and nutrient intakes. Dietary intakes were collected using 24-hour dietary recall interview conducted by proxy that was usually the mother. Mean and distribution of usual nutrient intakes, percentage meeting dietary reference intakes, meal and snack patterns, and intakes of foods and beverages were estimated. The energy intake of toddlers was 1335 kcal/d. Usual nutrient intakes of vitamins D and E were less than the recommended intake levels by 86% and 62% of toddlers, respectively. Almost all toddlers (96%) had usual intakes less than the recommendations for dietary fiber and potassium, and 71% exceeded the upper level for sodium. Mean daily intake of added sugars was 10% of daily energy intake, with approximately 40% of toddlers exceeding that level. Mean daily snack occasion of toddlers was 3.1, which contributed one-third of their daily energy intake. Beverages contributed one-fourth of their daily energy intake. On the basis of 1 day of dietary recall, milk, water, and 100% fruit juice were the top beverages consumed by toddlers. Soft drinks were consumed by 14% of toddlers. Grain products, protein foods, and mixed dishes were each consumed by at least three-fourths of the toddlers. A greater proportion of toddlers consumed fruit (71%) compared with vegetables (57%). Nearly 1 in 3 toddlers consumed candy, and 2 in 5 consumed cakes/cookies/pastries. More than one-third consumed savory snacks, including chips, popcorn, and pretzels, and an equal proportion consumed crackers. Although the dietary intakes of toddlers met the recommendations for many nutrients, the consumption of food and beverage choices that were not nutrient dense may merit concern. Less healthy choices, introduced at early ages, may shape dietary habits across the life-span.

Water and Beverage Consumption: Analysis of the Australian 2011-2012 National Nutrition and Physical Activity Survey.

Background: Water consumption as a vital component of the human diet is under-researched in dietary surveys and nutrition studies. Aim: To assess total water and fluid intakes and examine demographic, anthropometric, and dietary factors associated with water consumption in the Australian population. Methods: Dietary intake data from the 2011 to 2012 National Nutrition and Physical Activity Survey were used. Usual water, fluid and food and nutrient intakes were estimated from two days of dietary recalls. Total water includes plain drinking water and moisture from all food and beverage sources; total fluids include plain drinking water and other beverages, but not food moisture. Results: The mean (SD) daily total water intakes for children and adolescents aged 2–18 years were 1.7 (0.6) L for males and 1.5 (0.4) L for females, and for adults aged 19 years and over were 2.6 (0.9) L for males and 2.3 (0.7) L for females. The majority of the population failed to meet the Adequate Intake (AI) values for total water intake (82%) and total fluids intake (78%) with the elderly at highest risk (90%–95%). The contributions of plain drinking water, other beverages and food moisture to total water intake were 44%, 27%, and 29%, respectively, among children and adolescents, and 37%, 37% and 25% among adults. The main sources of other beverages were full-fat plain milk and regular soft drinks for children and adolescents, and tea, coffee, and alcoholic drinks for adults. For adults, higher total water intake was associated with lower percent energy from fat, saturated fat, and free sugars, lower sodium and energy-dense nutrient poor food intakes but higher dietary fibre, fruit, vegetable, caffeine, and alcohol intakes. No associations were found between total water consumption and body mass index (BMI) for adults and BMI z-score for children and adolescents. Conclusion: Reported water consumption was below recommendations. Higher water intakes were suggestive of better diet quality.

Development and Application of Web-Based Dietary Evaluation System Using Food Frequency Questionnaire for Korean Adolescents

We previously developed a dish-based semi-quantitative food frequency questionnaire (FFQ) for Korean adolescents and the developed FFQ’s reliability and validity was found reasonable. The objective of the current study was to construct web-based dietary evaluation system applying the FFQ for Korean adolescents and examine its applicability in the context of reliability and validity. A web-based dietary evaluation system was designed in a comprehensive approach, incorporating not only dietary data survey but also up-to-date nutrition information and individualized eating behavior guidelines. A convenience sample of 50 boys and girls aged 12-18 years agreed in the study participation and completed the FFQ twice and 3 days of dietary recall on the developed website during a two-month period. The FFQ’s reliability and validity was examined using correlation and cross classification analysis. We also measured participants’ subjective levels of the web site’s usability, visual effect, understanding, and familiarity. Spearman correlation coefficients for reliability ranged from 0.74(for vitamin A) to 0.94(for energy). From cross-classification analyses, the proportion of subjects in the same intake quartile was highest for energy(82.0%) and lowest for vitamin A(56.0%). With regard to validity analysis, Spearman correlation coefficients ranged from 0.27(for PUFA) to 0.79 (for energy). The proportions of subjects in the opposite categories between the first FFQ and 3-day diet recall data were generally low from 0.00% (for fat) to 36.2% (for sodium). Average subjective levels of the website’s usability, visual effect, understanding, and familiarity were all found over 4 points out of 5 points. The developed web-based dietary evaluation system can serve as a valid and attractive tool for administering FFQ to Korean adolescents.

Divergence between dietary folate intake and concentrations in the serum and red blood cells of aging males in the United States

As part of a broader study examining the relationship between serum folate concentrations and prostate cancer progression, we determined if there are age related changes in serum folate concentration compared to folate intake in the U.S. male population. Weighted data from the 2007-2008 and 2009-2010 NHANES databases was analyzed. A subpopulation of male participants was selected who were older than one year of age, had completed two days of dietary recall including supplement usage, and had fasted for at least 4h prior to having their serum folate measured. Total dietary folate equivalent (DFE) intake (mcg) represented the combination of all natural food folate and folic acid from fortification and dietary supplements. Geometric means of serum folate (nM), red blood cell (RBC) folate (nM), and DFE intake were calculated for nine consecutive age groups, with each group generally representing a 10 year span. Analysis was then focused on males older than 20 years of age. A total of 19,142 subjects were in the initial NHANES population, which represented over 294 million people within the United States. Applying our inclusion criteria created a final subpopulation size of 3775. Subsequent analysis of the age groups for all males older than 20 years found the following: The mean serum folate (nM) with 95% CI levels ranged from 28.2 (26.6, 29.9) to 55.1 (47.5, 63.9). RBC folate (nM) concentrations with 95% CI levels without any fasting exclusions ranged from 795.6 (741.5, 853.7) to 1038.4 (910.7, 1184.2). Serum and RBC folate concentrations were significantly higher with age across these age groups (p<0.001). However, the mean total daily DFE intake did not significantly differ ranging from 640.4 (574.7, 713.7) to 720.2 (665, 780) mcg, (p=0.373). Serum folate concentrations in men with total daily DFE intake of at least 1000 mcg increased more significantly with increasing age than serum folate concentrations in men with less than 400 mcg of total daily DFE intake (p<0.001). There was a similar trend with the RBC folate concentrations (p=0.054). We observed higher serum and RBC folate concentrations and a divergence between dietary folate intake and these folate concentrations in older males. This phenomenon was evident at total DFE intakes that were significantly less than the 1000 mcg tolerable upper intake level currently recommended by the Institute of Medicine.

Consumption of grapefruit is associated with higher nutrient intakes and diet quality among adults, and more favorable anthropometrics in women, NHANES 2003–2008

BackgroundDietary guidance recommends consumption of a nutrient-dense diet containing a variety of fruits. The purpose of this study was to estimate usual nutrient intakes and adequacy of nutrient intakes among adult grapefruit consumers and non-consumers, and to examine associations between grapefruit consumption and select health parameters.MethodsThe analysis was conducted with data collected in the National Health and Nutrition Examination Survey (NHANES) 2003–2008. Respondents reporting consumption of any amount of grapefruit or 100% grapefruit juice at least once during the 2 days of dietary recall were classified as grapefruit consumers.ResultsAmong adults aged 19+ years with 2 days of dietary recall (n=12,789), 2.5% of males and 2.7% of females reported consumption of 100% grapefruit juice or fresh, canned, or frozen grapefruit during the recalls. Grapefruit consumers were less likely to have usual intakes of vitamin C (males: 0% vs. 47%; females: 0% vs. 43%; P<0.001) and magnesium (P<0.05) below the estimated average requirement (EAR) compared to non-consumers, and they were more likely to meet adequate intake levels for dietary fiber (P<0.05). Potassium and β-carotene intakes were significantly higher among grapefruit consumers (P<0.001). Diet quality as assessed by the Healthy Eating Index-2005 (HEI-2005) was higher in grapefruit consumers (males: 66.2 [95% CI: 61.0–71.5] vs. 55.4 [95% CI: 54.4–56.4]; females: 71.4 [95% CI: 65.1–77.6] vs. 61.2 [95% CI: 59.8–62.6]). Among women, grapefruit consumption was associated with lower body weight, waist circumference, body mass index (BMI), triglycerides, C-reactive protein (CRP), and higher high-density lipoprotein (HDL) cholesterol (P<0.05), However, risk of being overweight/obese was not associated with grapefruit consumption.ConclusionConsumption of grapefruit was associated with higher intakes of vitamin C, magnesium, potassium, dietary fiber, and improved diet quality. Grapefruit may provide a healthful option for adults striving to meet fruit recommendations.

Nutrient Intakes among Children and Adolescents Eating Usual Pizza Products in School Lunch Compared with Pizza Meeting HealthierUS School Challenge Criteria

Pizza is a popular food that can contribute to high intakes of saturated fat and sodium among children and adolescents. The objective of this study was to compare daily nutrient intakes when a pizza product meeting the US Department of Agriculture's criteria for competitive food entrées under the HealthierUS School Challenge (HUSSC) was substituted for usual pizza products consumed during foodservice-prepared school lunch. The study used National Health and Nutrition Examination Survey (2005-2008) dietary recall data from a cross-sectional sample of US children and adolescents (age 5 to 18 years, n=337) who ate pizza during school lunch on 1 day of dietary recall. Daily nutrient intakes based on the consumption of usual pizza products for school lunch (pre-modeled) were compared with intakes modeled by substituting nutrient values from an HUSSC whole-grain pizza product (post-modeled). Paired t tests were used to make the comparison. Post-modeled intakes were lower in daily energy, carbohydrate, total fat, saturated fat, cholesterol, and sodium compared with pre-modeled intakes among children and adolescents (P<0.01). Protein, dietary fiber, vitamin A, and potassium intakes were higher in the post-modeled intake condition compared with the pre-modeled condition (P<0.01). Substituting the healthier pizza product for usual pizza products may significantly improve dietary quality of children and adolescents eating pizza for school lunch, indicating that it could be an effective approach to improve the nutritional quality of school lunch programs.