Consuming Vegetable-Based Salad Is Associated with Higher Nutrient Intakes and Diet Quality among US Adults,What We Eat in America,National Health and Nutrition Examination Survey 2011-2014

BackgroundConsuming salad is one strategy with the potential to harmonize diets more closely with national dietary guidance. However, it is not known whether nutrient intake and diet quality differ between people who consume vegetable-based salad and those who do not.ObjectiveThe objective of this study was to compare nutrient intake and diet quality between salad reporters and nonreporters.DesignThis study is a cross-sectional analysis of 1 day of dietary intake data collected via 24-hour recall.Participants/settingAdults 20 years and older (n=9,678) in What We Eat in America, National Health and Nutrition Examination Survey 2011-2014 were included. Respondents who ate salad on the intake day were considered salad reporters.Main outcome measuresThis study estimated nutrient intake from all foods and beverages (excluding supplements) and evaluated diet quality using the Healthy Eating Index (HEI) 2015.Statistical analysesNutrient intake and HEI scores were compared between salad reporters and nonreporters using paired t tests with regression adjustment for confounding variables. Results were considered significant at P<0.001.ResultsOn the intake day, 23% of adults consumed salad. Energy, protein, and carbohydrate intakes did not differ between salad reporters and nonreporters. Salad reporters had higher intakes than nonreporters of dietary fiber, total fat, unsaturated fatty acids, vitamins A, B-6, C, E, K, folate, choline, magnesium, potassium, and sodium (P<0.001). Total HEI 2015 scores were significantly higher for reporters (56 of a possible 100 points) than nonreporters (50 points) P<0.001. Reporters also had significantly higher scores for eight of 13 HEI components: total vegetables, greens and beans, whole fruits, total protein foods, seafood and plant proteins, fatty acids, refined grains, and added sugars (P<0.001).ConclusionsIncorporating vegetable-based salad into one’s diet may be one effective way to increase nutrient intake and improve overall diet quality. Regardless of salad reporting status, HEI scores show that diets of US adults need improvement.     

Web-Based Personalized Nutrition System for Delivering Dietary Feedback Based on Behavior Change Techniques: Development and Pilot Study among Dietitians

Given the complex and varied nature of individual characteristics influencing dietary behaviors, personalized dietary advice may be more effective than generalized “one-size-fits-all” advice. In this paper, we describe a web-based personalized nutrition system for improving the quality of overall diet in the general adult population. The development process included identification of appropriate behavior change techniques, modification of dietary assessment method (Meal-based Diet History Questionnaire; MDHQ), selection of dietary components, and a personalized dietary feedback tool. A pilot study was conducted online among 255 dietitians. Each completed the MDHQ, received his/her own dietary feedback report, and evaluated the relevance of the report based on 12 questions using a 5-point Likert scale from “totally disagree” (score 1) to “totally agree” (score 5). The mean value of overall acceptability score of dietary feedback report was 4.2. The acceptability score was, on average, higher in plausible energy reporters (compared with implausible energy reporters), participants who printed out the report (compared with those who did not), and those spending ≥20 min to read the report (compared with those spending <20 min). This is the first attempt to develop a web-based personalized nutrition system in Japan, where dietitians were broadly supportive of the dietary feedback report.     

Nationwide Representative Survey of Dietary Iodine Intake and Urinary Excretion in Postpartum Korean Women

Iodine is an essential component of thyroid hormones, but excessive iodine intake can lead to thyroid dysfunction. Traditionally, Korean mothers consume brown seaweed soup (miyeokguk), a high source of iodine, after childbirth. There is controversy regarding the effects of excessive postpartum iodine intake on the health of mothers and infants. Thus far, there have been no nationwide large-scale surveys regarding the status of iodine intake among postpartum women in Korea. Therefore, we conducted a nationwide survey of postpartum dietary iodine intake among Korean women. In total, 1054 Korean women aged ≥19 years, at less than 8 weeks postpartum, participated in this survey. Dietary data were collected using self-reported 2-day dietary records, along with before-and-after meal photos. To evaluate the correlation between dietary iodine and urinary iodine excretion (UIE), spot urine, and 24 h urine samples were collected from 98 and 29 participants, respectively. The mean daily iodine intake among all participants was 2945.6 μg, and it gradually decreased over time after childbirth. Dietary iodine intake was significantly correlated with 24 h UIE (r = 0.396, p < 0.05) and spot urine UIE (r = 0.312, p < 0.05). Follow-up studies are required to examine the influence of excessive postpartum iodine intake on thyroid health in mothers and their infants.     

Workplace foodservice meals are associated with higher nutritional quality among adult Korean workers: a nationwide cross-sectional study

BACKGROUND/OBJECTIVESAdequate nutritional intake is essential for good health and well-being. We aimed to compare the nutrient intake from homemade meals, meals sourced externally (“eating out”), and meals from workplace foodservices, as well as the potential association between foodservices used and nutritional quality among adult Korean workers.SUBJECTS/METHODSWe used data from the Korea National Health and Nutrition Examination Survey, a nationwide cross-sectional survey on the health and nutritional status of the Korean population. Data from 6,845 workers aged 20–64 years were included. A survey on dietary behavior and nutrition was conducted using the 24-h dietary recall method. Nutritional quality was examined using the index of nutritional quality (INQ) score. Higher INQ scores reflected poorer nutritional quality, with insufficient intake of a higher number of nutrients. Multivariate linear regression was used to identify the association between the foodservices used and INQ scores after adjusting for other covariates.RESULTSWe found that foodservice users exhibited a higher 1-day intake of total energy and macronutrients (all P < 0.05) and lower INQ scores (P < 0.01) than non-users. The INQ scores for total daily meals decreased with the frequency of foodservice use (P < 0.01). A significant association was observed between the non-use of foodservices and INQ scores (β = 0.29, P < 0.01) after adjusting for other covariates.CONCLUSIONSThe use of workplace foodservices contributed to higher dietary nutritional quality among workers. This study highlights the importance of expanding the scope of workplace foodservices to promote higher nutritional quality and healthy dietary habits among workers.     

Association between dietary branched-chain amino acid intake and skeletal muscle mass index among Korean adults: Interaction with obesity

BACKGROUND/OBJECTIVESThe branched-chain amino acids (BCAA), including isoleucine, leucine, and valine, promote muscle protein synthesis. However, obesity may interfere with protein synthesis by dysregulating mitochondrial function in the muscles. This study aimed to examine the association between dietary intake levels of BCAA and skeletal muscle mass index (SMI) in middle-aged participants, and the effect of obesity/abdominal obesity on this association.SUBJECTS/METHODSThe data of 3,966 men and women aged 50–64 years who participated in the 2008–2011 Korea National Health and Nutrition Examination Survey were analyzed. Intake levels of energy-adjusted dietary amino acids were obtained using a 24-hour dietary recall. SMI was calculated by dividing the appendicular skeletal muscle mass by body weight (kg) and multiplying the result by 100%. Multivariable general linear models were used to analyze the association of dietary BCAA intake levels with SMI.RESULTSThe beneficial effects of energy-adjusted dietary BCAA intakes on SMI were greater in the non-obesity/non-abdominal obesity groups; however, no significant associations were observed in the obesity/abdominal obesity groups (P > 0.05).CONCLUSIONSHealthy weight and sufficient intake of dietary BCAA are recommended to maintain muscle mass.     

Trends in sodium intake and major contributing food groups and dishes in Korea: the Korea National Health and Nutrition Examination Survey 2013–2017

BACKGROUND/OBJECTIVESExcess intake of dietary sodium, either directly or indirectly, increases the risk of several diseases, including cardio-cerebral vascular diseases such as stroke and hypertension. Excessive sodium intake and increased prevalence of hypertension have emerged as major issues worldwide. Therefore, the present study evaluated the recent trends in dietary sodium intake and the food sources of sodium intake in the Korean population using the Korea National Health and Nutrition Examination Survey (KNHANES, 2013–2017) data.SUBJECTS/METHODSThis study used the one-day 24-h recall dietary intake survey data from the 2013–2017 KNHANES to determine the average daily sodium intake by sex and age and the main dishes and food groups contributing to the dietary sodium intake.RESULTSThe mean sodium intake range was 3,477.2–3,889.6 mg/day during 2013–2017. The major food groups contributing to sodium intake were seasonings (1,597.5–1,870.5 mg/day), vegetables (680.4–756.7 mg/day), and cereal and grains (573.2–609.4 mg/day). Noodles and dumplings (536.7–573.2 mg/day), kimchi (487.3–539.6 mg/day), and soups (367.6–428.9 mg/day) were the top three dish groups that contributed to the sodium intake. In these dishes, the major sources of sodium intake were ramyeon (age groups 10–18 and 19–29 yrs), baechukimchi (age groups 40–49 and 50–59 yrs) and doenjang-kuk (age groups 60–69 and ≥ 70 yrs), respectively.CONCLUSIONSIn summary, reducing the consumption of soups and kimchi is an effective way to reduce sodium intake. Personalized nutrition education on dietary sodium intake management is required because of the different food sources contributing to the sodium intake according to the subjects'' age.     

Dietary Intakes of Patients with Alcohol Use Disorder During a 4-Week Protocol on an Inpatient Treatment Unit Found to Meet Dietary Reference Intakes for Macronutrients,but Have Variability in Energy Balance and Adequacy of Micronutrient Intake

BackgroundDespite literature supporting the importance of diet during rehabilitation, minimal research quantifies dietary intake during treatment for alcohol use disorder (AUD).ObjectiveThe aim was to quantify dietary intake and energy balance of patients with AUD during inpatient treatment.DesignThis was a secondary analysis of data from a 4-week observational protocol. Participants self-selected food from a room service menu. Dietary intake was recorded by patients and reviewed by nutrition staff. To quantify nutrient and food group intake, data were coded into Nutrition Data Systems for Research software, versions 2016 and 2017. Daily average intake was calculated for all dietary variables.Participants/settingParticipants (n = 22) were adults seeking treatment for AUD at the National Institutes of Health Clinical Center (Bethesda, MD) between September 2016 and September 2017 and who were enrolled in a study examining the microbiome during AUD rehabilitation. Four participants discontinued protocol participation before study week 4 and were not included in analyses examining change over time.Main outcome measuresWeight change, daily energy, and macronutrient and select micronutrient intakes were the main outcome measures included.Statistical analyses performedMean differences in intake and weight were assessed using nonparametric tests.ResultsSixty-four percent of participants were male; mean ± SD age was 46.3 ± 13.0 years, mean ± SD body mass index (calculated as kg/m²) was 23.9 ± 2.5, and mean intake was 2,665 kcal/d (consisting of 45.9% carbohydrate, 34.9% fat, and 19.1% protein). Eighty percent or more of this sample met the Estimated Average Requirement for 10 of 16 micronutrients assessed. Male participants consumed more energy than estimated needs (P = .003) and gained a mean ± SD of 2.67 ± 1.84 kg (P = .006) when an outlier with weight loss and acute pancreatitis was removed from analysis. Female participants did not gain weight or consume more than estimated energy needs.ConclusionsOverall macronutrient intake was within recommended ranges, but intake of other dietary components and weight gain were variable, supporting the need for individualized nutrition care during AUD treatment.     

Design and validation of a program to identify inadequate intake of iron,zinc, and vitamin A

ObjectiveThe aim of this study was to create an innovative, easy-to-use, and informative web-based application system to calculate the iron, zinc, and vitamin A intake in comparison to the recommended nutrient intake (RNI).MethodsFood survey data on commonly consumed Indonesian foods (122 foods) were recorded from 68 800 households. The data were used to extract 13 relevant food groups representing typical Indonesian dietary patterns and were incorporated into the development of new software called the Calculator of Inadequate Micronutrient Intake (CIMI). To validate, 24-h dietary recall data of children (n = 118) and adult women (n = 124) from Indonesia were collected and analyzed using CIMI and Nutrisurvey (NS) and the results were analyzed.ResultsCIMI calculates the absolute intake of energy, macronutrients, retinol, ß-carotene, retinol equivalents, iron, and zinc. The percentages of RNI fulfillment with regard to age and sex are presented. The bioavailability levels of iron and zinc are considered. Validation showed that results of CIMI and NS were comparable with regard to the average intake and range of data distribution ratio. Due to bioavailability factors, more participants who had intake of iron (adult group) and zinc (both groups) below the cutoff were detected by CIMI. The range of correlation coefficient of NS and CIMI were from 0.889 (energy) to 0.713 (iron) in the children's group and from 0.919 (protein) to 0.686 (vitamin A) in the adult group.ConclusionCIMI is a simple and rapid tool that calculates energy and nutrient intake, and also the percentage of nutrient fulfillment in comparison with the dietary recommendation.     

Dietary sugar intake and dietary behaviors in Korea: a pooled study of 2,599 children and adolescents aged 9-14 years

BACKGROUND/OBJECTIVESDietary sugar intake, particularly added sugar and sugar-sweetened beverages, has received worldwide attention recently. Investigation of dietary behaviors may facilitate understanding of dietary sugar intakes of children and adolescents. However, the relationship between dietary sugar intake and dietary behaviors in the Korean population has not been investigated. Thus, this study aimed to estimate dietary sugar intake and food sources according to sex as well as examine the relationship of dietary sugar intake with frequent snacking and dietary patterns among Korean children and adolescents.SUBJECTS/METHODSWe pooled data from five studies involving Korean children and adolescents conducted from 2002 to 2011. A total of 2,599 subjects aged 9-14 years were included in this study. Each subject completed more than 3 days of dietary records.RESULTSMean daily total sugar intake was 46.6 g for boys and 54.3 g for girls. Compared with boys, girls showed higher sugar intakes from fruits (7.5 g for boys and 8.8 g for girls; P = 0.0081) and processed foods (27.9 g for boys and 34.9 g for girls; P < 0.0001). On average, 95.4% of boys and 98.8% of girls consumed snacks during the study period, and total sugar intake showed a significantly increasing trend with increasing energy intake from snacks (P < 0.0001 for both sexes). Two dietary patterns were identified by cluster analysis: Traditional and Westernized patterns. Total sugar intake was higher in the Westernized pattern (56.2 g for boys and 57.2 g for girls) than in the Traditional pattern (46.5 g for boys and 46.3 g for girls).CONCLUSIONSThese results suggest that multilateral and practical development of a nutrition education and intervention program that considers dietary behaviors as well as absolute sugar intake is required to prevent excessive sugar intake in Korean children and adolescents.     

Comparison of Discretionary Food and Drink Intake Based on a Short Web-Based Sugar-Rich Food Screener and a Validated Web-Based 7-Day Dietary Record

A high consumption of discretionary foods and drinks has been associated with increased risk of multiple adverse health outcomes, including risk of overweight and dental caries. The family-based cluster randomized intervention study “Are you too sweet?” aimed at reducing the intake of discretionary foods and drinks in a population of children starting pre-school. As part of the intervention a new short web-based sugar-rich food screener (SRFS), was developed to make the parents and the school health nurses aware of the children’s intake of discretionary foods and drinks. In addition to the short assessment tool the parents also completed a validated web-based 7-day dietary record for the children. In the present study, estimates for intake of discretionary foods and drinks from the two assessment tools were compared (n = 80). There was significant correlation between estimates from the two assessment tools, but the SRFS provided lower estimates for intake of discretionary foods and drinks compared to the 7-day dietary record. The correlation coefficient between the two assessment tools was 0.49 (p < 0.001) and Kappa coefficient was 0.33. It is concluded that the SRFS can provide a fairly ranking of participants according to their intake of discretionary foods and drinks when compared to a validated 7-day dietary record. The screener may be a useful tool in practical settings, such as school health nurse consultations, in order to gain insight into the child’s sweet intake habits.     

Dietary Sodium Intake Is Positively Associated with Sugar-Sweetened Beverage Consumption in Chinese Children and Adolescents

Sugar-sweetened beverage (SSB) consumption among children and adolescents is steadily increasing in China, while the main taste of Chinese food is salty. The present study aimed to determine the relationships between SSB and total fluid consumption and dietary sodium and salt intake among children and adolescents in China. The data were obtained from a cross-sectional investigation in 2015. A total of 3958 participants were included. A 24-h dietary record for three consecutive days was collected to determine the SSB intake and food consumption across school days and rest days. After adjusting for age, sex, yearly household income, maternal education, intentional physical exercise, and instances of eating out in the last week, the dietary sodium intake was positively associated with the SSB consumption (p < 0.05), but salt was not. After stratifying by sex, grades, and puberty status, the associations between dietary sodium intake and SSB consumption were significant in girls, in grades 1–5 and before puberty (p < 0.05). Dietary sodium intake was positively associated with SSB consumption in Chinese children and adolescents, particularly in young children. A reduction of the sodium intake might help reduce SSB consumption among children and adolescents.     

Impact of advanced and basic carbohydrate counting methods on metabolic control in patients with type 1 diabetes

ObjectiveDiets based on carbohydrate counting remain a key strategy for improving glycemic control in patients with type 1 diabetes. However, these diets may promote weight gain because of the flexibility in food choices. The aim of this study was to compare carbohydrate counting methods regarding anthropometric, biochemical, and dietary variables in individuals with type 1 diabetes, as well as to evaluate their knowledge about nutrition.MethodsParticipants were allocated in basic or advanced groups. After 3 mo of the nutritional counseling, dietary intake, anthropometric variables, lipemia, and glycemic control were compared between groups. A questionnaire regarding carbohydrate counting, sucrose intake, nutritional knowledge, and diabetes and nutrition taboos also was administered.ResultsTen (30%) participants had already used advanced carbohydrate counting before the nutritional counseling and these individuals had a higher body mass index (BMI) (P < 0.01) and waist circumference (WC) (P = 0.01) than others (n = 23; 69.7%). After 3 mo of follow-up, although participants in the advanced group (n = 17; 51.52%) presented higher BMI (P < 0.01) and WC (P = 0.03), those in the basic group (n = 16; 48.48%) showed a higher fat intake (P < 0.01). The majority of participants reported no difficulty in following carbohydrate counting (62.5% and 88% for basic and advanced groups, respectively) and a greater flexibility in terms of food choices (>90% with both methods).ConclusionsAdvanced carbohydrate counting did not affect lipemic and glycemic control in individuals with type 1 diabetes, however, it may increase food intake, and consequently the BMI and WC, when compared to basic carbohydrate counting. Furthermore, carbohydrate counting promoted greater food flexibility.     

Late Evening Eating Patterns among US Adults Vary in Their Associations With,and Impact on,Energy Intake and Diet Quality: Evidence from What We Eat in America,National Health and Nutrition Examination Survey 2013-2016

BackgroundEvening eating has been associated with higher energy intake and lower nutrient density. However, these qualities may not characterize all late evening (LE) eating patterns.ObjectiveWe sought to characterize US adults’ LE eating patterns on a given day and identify differences, if any, in pattern-specific associations with, and impact on, daily energy intake and total diet quality.DesignLE eating patterns, energy intakes, and Healthy Eating Index (HEI) scores were identified using Day-1 dietary recall data from the cross-sectional National Health and Nutrition Examination Survey 2013-2016.Participants/settingThe sample included adults aged ≥ 20 years (n = 9,861). LE reporters were respondents who consumed foods/beverages between 20:00 and 23:59 on the intake day.Main outcome measuresEnergy intake and HEI-2015 scores by LE status/pattern and the impact of LE consumption on these measures.Statistical analysesCluster analysis assigned individuals to LE eating patterns based on the LE energy contribution of food/beverage groups. Regression models estimated energy intake and HEI-2015 scores; estimates were compared between LE reporters and nonreporters. Similarly, LE’s contribution to total energy and the difference in total HEI inclusive vs exclusive of LE consumption were estimated and compared among patterns.ResultsAmong US adults, 64.4% were LE reporters. Eleven LE patterns were identified; the six most prevalent patterns (representing 89% of LE reporters) were further analyzed. Daily energy intake in all prevalent patterns except the fruit pattern exceeded that of nonreporters by ≥ 268 kcal (unadjusted; P < 0.001), varying by pattern. Conversely, total HEI score did not differ from that of nonreporters (51.0) in any pattern except the fruit pattern, where it was higher (57.4, unadjusted; P < 0.001). Generally, LE consumption’s impact on energy was high and its impact on HEI scores was low.ConclusionsLate evening food/beverage consumption is common among US adults, and LE patterns are not monolithic in their associations with, and impact on, total energy intake and dietary quality.     

Younger Adults Are More Likely to Increase Fruit and Vegetable Consumption and Decrease Sugar Intake with the Application of Dietary Monitoring

Establishing healthy eating habits is considered to be a sustainable strategy for health maintenance, and mobile applications (apps) are expected to be highly effective among the young-aged population for healthy eating promotion. The purpose of this study was to investigate the effectiveness of a dietary monitoring app on younger adults’ nutrition knowledge and their dietary habits. A controlled-experimental study was performed with one experimental group having a three-hour nutrition seminar and 12 weeks of dietary monitoring with the app, and one control group receiving a three-hour nutrition seminar. Behavioral feedback delivered by the app was evaluated in facilitating the transfer of nutritional knowledge to nutrition behavior. A total of 305 younger adults aged from 19 to 31 were recruited. Baseline and post-intervention nutrition knowledge and dietary behavior were collected. All mean scores of post-GNKQ-R increased from baseline for both the control and the experimental groups. The mean differences of sugar intake, dietary fiber intake, and vitamin C intake for the experimental group were significantly more than those for the control group (all p < 0.001). In addition, the experimental group increased fruit and vegetable consumption significantly more than the control group (all p < 0.001). For those younger adults with a relatively large body size, they were more likely to increase fruit consumption with the application of dietary monitoring.     

Nutrient Intake and Dietary Inflammatory Potential in Current and Recovered Anorexia Nervosa

Anorexia nervosa (AN) is characterised by disrupted and restrictive eating patterns. Recent investigations and meta-analyses have found altered concentrations of inflammatory markers in people with current AN. We aimed to assess nutrient intake in participants with current or recovered AN, as compared to healthy individuals, and explore group differences in dietary inflammatory potential as a possible explanation for the observed alterations in inflammatory markers. We recruited participants with current AN (n = 51), those recovered from AN (n = 23), and healthy controls (n = 49). We used the Food Frequency Questionnaire (FFQ), to calculate a Dietary Inflammatory Index (DII^®) score and collected blood samples to measure serum concentrations of inflammatory markers. In current AN participants, we found lower intake of cholesterol, compared to HCs, and lower consumption of zinc and protein, compared to HC and recovered AN participants. A one-way ANOVA revealed no significant group differences in DII score. Multivariable regression analyses showed that DII scores were significantly associated with tumour necrosis factor (TNF)-α concentrations in our current AN sample. Our findings on nutrient intake are partially consistent with previous research. The lack of group differences in DII score, perhaps suggests that diet is not a key contributor to altered inflammatory marker concentrations in current and recovered AN. Future research would benefit from including larger samples and using multiple 24-h dietary recalls to assess dietary intake.     

Update on NHANES Dietary Data: Focus on Collection,Release, Analytical Considerations,and Uses to Inform Public Policy

NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA’s Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation’s nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review.     

Validity of Energy Intake Reports in Relation to Dietary Patterns

The role of under- and overreporting of energy intake in determining the dietary patterns is yet unclear, especially in the Middle Eastern countries. This study identifies the prevalence of misreporting among Tehranian women aged 18-45 years and to compare the dietary intake patterns of plausible and all energy reporters. Dietary intakes and anthropometric data were collected. FitMate™ metabolic analyzer and Goldberg equation were used in determining the under/overreporting of energy intake. Underreporters were more likely to be overweight and older compared to plausible reporters. Three dietary patterns emerged for all reporters, and two were identified for plausible reporters. Using only plausible reporters to determine dietary patterns was not similar to using all reporters. The proportion of underreporters was 59.3% in the mixture cluster, 30.4% in the unhealthy cluster, and 35.3% in the healthy cluster (p<0.05). Underreporting of energy intake is not uniformly distributed among dietary pattern clusters and tends to be less severe among subjects in the unhealthy cluster. Our data suggested that misreporting of energy intake might affect the dietary pattern analysis.Key words: Dietary patterns, Energy underreporting, Validity, Women, Iran     

A Comparison of Fruit and Vegetable Intake Estimates from Three Survey Question Sets to Estimates from 24-Hour Dietary Recall Interviews

BackgroundFruit and vegetable (F/V) intake surveillance can provide information critical to the design and evaluation of interventions and the assessment of progress toward national intake objectives. The CDC’s Youth Risk Behavior Surveillance System (YRBSS) assesses F/V intake among high school students using six questions about the frequency of intake in times per day. It is not known whether F/V intake frequency in times per day can be used as a proxy for intake in servings per day.ObjectiveTo compare F/V intake estimates based on responses to three sets of survey questions, including the standard set of six YRBSS questions, with criterion F/V intake in servings per day based on data from 24-hour dietary recall interviews.Participants/settingStudy participants were 610 high school students who completed an in-class questionnaire and three telephone-administered 24-hour dietary recall interviews. The questionnaire asked students how many times they consumed 100% fruit juice and ate fruit, carrots, potatoes, green salad, and other vegetables during the “past 7 days” (set 1), the number of times they did so “yesterday” (set 2), and the number of cup-equivalents of fruits and vegetables they consumed per day (set 3).Main outcome measureMean estimated F/V intake either as “times/day” or “servings/day” and the percentage of students whose estimated F/V intake was ≥1, ≥2, and ≥3 times/day or servings/day.Statistical analyses performedt tests and corrected Pearson correlations were used to compare F/V intake estimates based on survey question responses with estimates based on responses to the 24-hour dietary recall interviews.ResultsMean F/V intake estimates (in times/day or servings/day) based on responses to all sets of survey questions were significantly more than servings/day estimates based on responses to the 24-hour dietary recall interviews, and the percentages of students meeting each intake cutpoint were also more. Of the three sets of survey questions, the standard YRBSS questions produced estimates and percentages that were most consistently closest to 24-hour dietary recall interview estimates.ConclusionsFor brief self-administered questionnaires of high school students, the current YRBSS questions are recommended for monitoring F/V intake even though mean intake estimates in times/day will likely be higher than, and are not a proxy for, mean intake estimates in servings/day.     

How Does Being Overweight Moderate Associations between Diet and Blood Pressure in Male Adolescents?

Diet is one of the strongest modifiable risk factors for hypertension. In this study, we described the associations between dietary factors and blood pressure; and explored how weight status moderated these associations in a sample of New Zealand male adolescents. We collected demographics information, anthropometric, blood pressure, and dietary data from 108 male adolescents (15–17 years old). Mixed effects and logistic regression models were used to estimate relationships between dietary variables, blood pressure, and hypertension. Moderation effects of overweight status on the relationship between hypertension and diet were explored through forest plots. One-third (36%) of the sample was classified as hypertensive. Fruit intake was related to significantly lower systolic (−2.4 mmHg, p = 0.005) and diastolic blood pressure (−3.9 mmHg, p = 0.001). Vegetable and milk intake was related to significantly lower diastolic blood pressure (−1.4 mmHg, p = 0.047) and (−2.2 mmHg, p = 0.003), respectively. In overweight participants, greater vegetable and milk, and lower meat intake appeared to reduce the odds of hypertension. Certain dietary factors may have more prominent effects on blood pressure depending on weight status.