Performance and Feasibility of Recalls Completed Using the Automated Self-Administered 24-Hour Dietary Assessment Tool in Relation to Other Self-Report Tools and Biomarkers in the Interactive Diet and Activity Tracking in AARP (IDATA) Study.

BACKGROUND: Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a self-administered web-based tool designed to collect detailed dietary data at low cost in observational studies. OBJECTIVE: The objectives of this study were to describe, overall and by demographic groups, the performance and feasibility of ASA24-2011 recalls and compare Healthy Eating Index-2015 (HEI-2015) total and component scores to 4-day food records (4DFRs) and food frequency questionnaires (FFQs). DESIGN: Over 12 months, participants completed up to 6 ASA24 recalls, 2 web-based FFQs, and 2 unweighed paper-and-pencil 4DFRs. Up to 3 attempts were made to obtain each ASA24 recall. Participants were administered doubly-labeled water to provide a measure of total energy expenditure and collected two 24-hour urine samples to assess concentrations of nitrogen, sodium, and potassium. PARTICIPANTS/SETTING: From January through September 2012, 1,110 adult members of AARP, 50 to 74 years of age, were recruited from the Pittsburgh, PA, area to participate in the Interactive Diet and Activity Tracking in AARP (IDATA) study. After excluding 33 participants who had not completed any dietary assessments, 531 men and 546 women remained. MAIN OUTCOME MEASURES: Response rates, nutrient intakes compared to recovery biomarkers across each ASA24 administration day, and HEI-2015 total and component scores were measured. STATISTICAL ANALYSES PERFORMED: Means, medians, standard deviations, interquartile ranges, and HEI-2015 total and component scores computed using a multivariate measurement error model are presented. RESULTS: Ninety-one percent of men and 86% of women completed 3 ASA24 recalls. Approximately three-quarters completed 5 or more, higher than the completion rates for 2 4DFRs and 2 FFQs. Approximately, three-quarters of men and 70% of women completed ASA24 on the first attempt; 1 in 5 completed it on the second. Completion rates varied slightly by age and body mass index. Median time to complete ASA24-2011 (current version: ASA24-2020) declined with subsequent recalls from 55 to 41 minutes in men and from 58 to 42 minutes in women and was lowest in those younger than 60 years. Mean nutrient intakes were similar across recalls. For each recording day, energy intakes estimated by ASA24 were lower than energy expenditure. Reported intakes for protein, potassium, and sodium were closer to recovery biomarkers for women, but not for men. Geometric means of reported intakes of these nutrients did not systematically vary across ASA24 administrations, but differences between reported intakes and biomarkers differed by nutrient. Of 100 possible points, HEI-2015 total scores were nearly identical for 4DFRs and ASA24 recalls and higher for FFQs (men: 61, 60, and 68; women: 64, 64, and 72, respectively). CONCLUSIONS: ASA24, a freely available dietary assessment tool for use in large-scale nutrition research, was found to be highly feasible. Similar to previously reported data for nutrient intakes, HEI-2015 total and component scores for ASA24 recalls were comparable to those for 4DFRs, but not FFQs. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03268577 (http://www.clinicaltrials.gov).

Comparing Reported Dietary Supplement Intakes between Two 24-Hour Recall Methods: The Automated Self-Administered 24-Hour Dietary Assessment Tool and the Interview-Administered Automated Multiple Pass Method.

BACKGROUND: The Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) includes a highly standardized multipass web-based recall that, like the Automated Multiple Pass Method (AMPM), captures detailed information about dietary intake using multiple probes and reminders to enhance recall of intakes. The primary distinction between ASA24 and AMPM is that the ASA24 user interface guides participants, thus removing the need for interviewers. OBJECTIVE: The objective of this study was to compare dietary supplement use reported on self-administered (ASA24-2011) vs interviewer-administered (AMPM) 24-hour recalls. DESIGN: The Food Reporting Comparison Study was an evaluation study designed to compare self-reported intakes captured using the self-administered ASA24 vs data collected via interviewer-administered AMPM recalls. Between 2010 and 2011, 1081 women and men were enrolled from three integrated health care systems that belong to the National Cancer Institute-funded Cancer Research Network: Security Health Plan Marshfield Clinic, Wisconsin; Henry Ford Health System, Michigan; and Kaiser Permanente Northern California, California. Quota sampling was used to ensure a balance of age, sex, and race/ethnicity. Participants were randomly assigned to four groups, and each group was asked to complete two dietary recalls: group 1, two ASA24s; group 2, two AMPMs; group 3, ASA24 first and AMPM second; and group 4, AMPM first and ASA24 second. Dietary supplements were coded using the 2007-2008 National Health and Nutrition Examination Survey Dietary Supplement Database. Analyses used the two one-sided tests, known as TOST, to assess equivalence of reported supplement use between methods. RESULTS: Complete 24-hour dietary recalls that included both dietary and supplement intake data were available for 1076 participants (507 men and 569 women). The proportions reporting supplement use via ASA24 and AMPM were 46% and 43%, respectively. These proportions were equivalent, with a small effect size of less than 20%. There were two exceptions in subgroup analyses: reported use among those 40 to 59 years of age and reported use by non-Hispanic black subjects were higher for ASA24 than AMPM. CONCLUSIONS: This study provides evidence that there is little difference in reported supplement use by mode of administration (ie, interview-administered vs self-administered recall).

Racial and Ethnic Differences in Dietary Intake, Physical Activity, and Body Mass Index (BMI) Among Cancer Survivors: 2005 and 2010 National Health Interview Surveys (NHIS).

INTRODUCTION: This paper reports racial/ethnic differences in mean dietary and alcohol intake, physical activity, and body mass index (BMI) among cancer survivors and examines adherence to the American Cancer Society and the US Dietary Guidelines for Americans. METHODS: Data are from the cross-sectional 2005 and 2010 National Health Interview Surveys (NHIS). The total sample of cancer survivors (N = 3367) included non-Hispanic Whites (NHW; N = 2698), non-Hispanic Blacks (NHBs; N = 379), and Hispanics (N = 290). We compared mean reported dietary intake, moderate/vigorous physical activity, and BMI among racial/ethnic groups. Predicted marginals and multivariate logistic regression analysis were used to compare prevalence of non-adherence with recommendations among groups. RESULTS: Among the three racial/ethnic groups, Hispanics had the highest mean intake of vegetables, fiber, and calcium (p = 0.0003; p < 0.0001; p = 0.001). In the logistic regression model adjusting for sociodemographic covariates, smoking and BMI, Hispanics had lower non-adherence to fiber guidelines (OR = 0.38; CI = 0.24-0.58) than NHWs. NHBs had significantly higher non-adherence to vegetable guidelines (OR = 1.63; CI = 1.07-2.47). NHBs and Hispanics had lower non-adherence with alcohol guidelines than NHWs (OR = 0.35 and 0.38; CI = 0.18-0.69 and 0.19-0.76, respectively). NHBs and Hispanics were more likely to be overweight/obese (OR = 1.66 and 1.57; CI = 1.24-2.23 and CI = 1.11-2.21, respectively). CONCLUSIONS: There are racial/ethnic differences in certain health behaviors of cancer survivors. However, non-adherence to guidelines is high in all three racial/ethnic groups. Achieving the recommended guidelines for diet, physical activity, and a healthy BMI is a concern for all cancer survivors, indicating the need for intervention among this growing group of at-risk individuals.

Percentage of Youth Meeting Federal Fruit and Vegetable Intake Recommendations, Youth Risk Behavior Surveillance System, United States and 33 States, 2013.

BACKGROUND: National- and state-level self-reported frequency of fruit and vegetable (F/V) consumption is available for high school students from the Centers for Disease Control and Prevention's Youth Risk Behavior Surveillance System (YRBSS). YRBSS monitors priority health-risk behaviors among a nationally representative sample of US high school students and representative samples of students in states and selected large urban school districts. However, YRBSS measures intake in times per day and not the cup equivalents that national goals use, which limits interpretation. OBJECTIVE: To help states track youth progress, scoring algorithms were developed from external data and applied to 2013 YRBSS data to estimate the percentages of high school students in the nation and 33 states meeting the US Department of Agriculture's Food Patterns F/V intake recommendations. DESIGN: Twenty-four-hour dietary recalls were used from the 2007-2010 National Health and Nutrition Examination Survey to fit sex-specific models for 14- to 18-year-olds that estimate probabilities of meeting recommendations as a function of reported frequency of consumption and race/ethnicity, adjusting for day-to-day dietary variation. Model regression parameters were then applied to national cross-sectional YRBSS data (n=12,829) and to data from the 33 states (n=141,006) that had complete F/V data to estimate percentages meeting recommendations. RESULTS: Based on the prediction equations, 8.5% of high school students nationwide met fruit recommendations (95% CI 4.9% to 12.1%) and 2.1% met vegetable recommendations (95% CI 0.0% to 8.1%). State estimates ranged from 5.3% in Nebraska and Missouri to 8.9% in Florida for fruit and 1.0% in New Jersey, North Dakota, and South Carolina to 3.3% in New Mexico for vegetables. CONCLUSIONS: This method provides a new tool for states to track youth progress toward meeting dietary recommendations and indicates that a high percentage of youth in all states examined have low intakes of F/V.

Sociodemographic and Behavioral Factors Associated with Added Sugars Intake among US Adults.

BACKGROUND: Reducing added sugars intake is one of the Healthy People 2020 objectives. High added sugars intake may be associated with adverse health consequences. OBJECTIVE: This cross-sectional study identified sociodemographic and behavioral characteristics associated with added sugars intake among US adults (18 years and older) using the 2010 National Health Interview Survey data (n=24,967). METHODS: The outcome variable was added sugars intake from foods and beverages using scoring algorithms to convert dietary screener frequency responses on nine items to estimates of individual dietary intake of added sugars in teaspoons per day. Added sugars intake was categorized into tertiles (lowest, middle, highest) stratified by sex. The explanatory variables were sociodemographic and behavioral characteristics. Multinomial logistic regression was used to estimate the adjusted odds ratios for the highest and middle tertile added sugars intake groups as compared with the lowest tertile group. RESULTS: Estimated median added sugars intake was 17.6 tsp/d for men and 11.7 tsp/d for women. For men and women, those who had significantly greater odds for being in the highest tertile of added sugars intake (men: ≥22.0 tsp/d; women: ≥14.6 tsp/d) were younger, less educated, had lower income, were less physically active, were current smokers, and were former or current infrequent/light drinkers, whereas non-Hispanic other/multiracial and those living in the West had significantly lower odds for being in the highest tertile of added sugars intake. Different patterns were found by sex. Non-Hispanic black men had lower odds for being in the highest tertile of added sugars intake, whereas non-Hispanic black women had greater odds for being in the highest tertile. CONCLUSIONS: One in three men consumed ≥22.0 tsp added sugars and one in three women consumed ≥14.6 tsp added sugars daily. Higher added sugars intake was associated with various sociodemographic and behavioral characteristics; this information can inform efforts to design programs and policies specific to high-intake populations.

The National Cancer Institute's Dietary Assessment Primer: A Resource for Diet Research.

This monograph describes the National Cancer Institute's Dietary Assessment Primer, a web resource developed to help researchers choose the best available dietary assessment approach to achieve their research objective. All self-report instruments have error, but understanding the nature of that error can lead to better assessment, analysis, and interpretation of results. The Primer includes profiles of the major self-report dietary assessment instruments, including guidance on the best uses of each instrument; discussion of validation and measurement error generally and with respect to each instrument; guidance for choosing a dietary assessment approach for different research questions; and additional resources, such as a glossary, references, and overviews of specific/important issues in the field. This monograph also describes some future research needs in the field of dietary assessment.

Dietary assessment in food environment research: a systematic review.

CONTEXT: The existing evidence on food environments and diet is inconsistent, potentially because of heterogeneity in measures used to assess diet. The objective of this review, conducted in 2012-2013, was to examine measures of dietary intake utilized in food environment research. EVIDENCE ACQUISITION: Included studies were published from January 2007 through June 2012 and assessed relationships between at least one food environment exposure and at least one dietary outcome. Fifty-one articles were identified using PubMed, SCOPUS, Web of Knowledge, and PsycINFO; references listed in the papers reviewed and relevant review articles; and the National Cancer Institute's Measures of the Food Environment website. The frequency of the use of dietary intake measures and assessment of specific dietary outcomes were examined, as were patterns of results among studies using different dietary measures. EVIDENCE SYNTHESIS: The majority of studies used brief instruments, such as screeners or one or two questions, to assess intake. Food frequency questionnaires were used in about a quarter of studies, one in ten used 24-hour recalls, and fewer than one in 20 used diaries. Little consideration of dietary measurement error was evident. Associations between the food environment and diet were more consistently in the expected direction in studies using less error-prone measures. CONCLUSIONS: There is a tendency toward the use of brief dietary assessment instruments with low cost and burden rather than more detailed instruments that capture intake with less bias. Use of error-prone dietary measures may lead to spurious findings and reduced power to detect associations.

Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

With the advent of Internet-based 24-hour recall (24HR) instruments, it is now possible to envision their use in cohort studies investigating the relation between nutrition and disease. Understanding that all dietary assessment instruments are subject to measurement errors and correcting for them under the assumption that the 24HR is unbiased for usual intake, here the authors simultaneously address precision, power, and sample size under the following 3 conditions: 1) 1-12 24HRs; 2) a single calibrated food frequency questionnaire (FFQ); and 3) a combination of 24HR and FFQ data. Using data from the Eating at America's Table Study (1997-1998), the authors found that 4-6 administrations of the 24HR is optimal for most nutrients and food groups and that combined use of multiple 24HR and FFQ data sometimes provides data superior to use of either method alone, especially for foods that are not regularly consumed. For all food groups but the most rarely consumed, use of 2-4 recalls alone, with or without additional FFQ data, was superior to use of FFQ data alone. Thus, if self-administered automated 24HRs are to be used in cohort studies, 4-6 administrations of the 24HR should be considered along with administration of an FFQ.

Dietary intakes of preschool-aged children in relation to caregivers' race/ethnicity, acculturation, and demographic characteristics: results from the 2007 California Health Interview Survey.

Few studies have examined the influence of acculturation on dietary behaviors of young children while controlling for other demographic variables. The purpose of this study was to assess reported dietary intakes of preschool-aged children (3-5 years) and subsequent associations with caregivers' race/ethnicity, acculturation and demographic characteristics, using data from the 2007 California Health Interview Survey (CHIS). Analysis was restricted to Hispanic and non-Hispanic white caregivers and their preschool-aged children (n = 1,105). Caregivers' acculturation was assessed using place of birth, duration of United States residence, and language spoken at home. Proxy-reports by caregivers to a dietary screener were used to estimate children's intakes of fruit, 100% fruit juice, vegetables, sweets, and sugar-sweetened beverages consumed. In multivariate analyses, Hispanic caregivers reported their children consumed fewer servings of vegetables than did the children of non-Hispanic white caregivers; there were no other statistically significant differences in children's dietary intakes by caregivers' race/ethnicity. Caregivers' acculturation was associated with caregiver-reported consumption of sweets by children (ß = 0.09, 95%CI = 0.01-0.18). Demographic characteristics that were associated with reported dietary intakes of children included caregivers' age, education, and geographic region of residence. In contrast to past studies of acculturation and diet in older children and adults, this study suggests that for 3-5 year olds, caregivers' level of acculturation does not play as strong a role in the dietary intakes of the younger children under their care.

Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall.

OBJECTIVE: To assess the accuracy of portion-size estimates and participant preferences using various presentations of digital images. DESIGN: Two observational feeding studies were conducted. In both, each participant selected and consumed foods for breakfast and lunch, buffet style, serving themselves portions of nine foods representing five forms (eg, amorphous, pieces). Serving containers were weighed unobtrusively before and after selection as was plate waste. The next day, participants used a computer software program to select photographs representing portion sizes of foods consumed the previous day. Preference information was also collected. In Study 1 (n=29), participants were presented with four different types of images (aerial photographs, angled photographs, images of mounds, and household measures) and two types of screen presentations (simultaneous images vs an empty plate that filled with images of food portions when clicked). In Study 2 (n=20), images were presented in two ways that varied by size (large vs small) and number (4 vs 8). SUBJECTS/SETTING: Convenience sample of volunteers of varying background in an office setting. STATISTICAL ANALYSES PERFORMED: Repeated-measures analysis of variance of absolute differences between actual and reported portions sizes by presentation methods. RESULTS: Accuracy results were largely not statistically significant, indicating that no one image type was most accurate. Accuracy results indicated the use of eight vs four images was more accurate. Strong participant preferences supported presenting simultaneous vs sequential images. CONCLUSIONS: These findings support the use of aerial photographs in the automated self-administered 24-hour recall. For some food forms, images of mounds or household measures are as accurate as images of food and, therefore, are a cost-effective alternative to photographs of foods.

Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005.

BACKGROUND: The consumption of added sugars (eg, white sugar, brown sugar, and high-fructose corn syrup) displaces nutrient-dense foods in the diet. The intake of added sugars in the United States is excessive. Little is known about the predictors of added sugar intake. OBJECTIVE: To examine the independent relationships of socioeconomic status and race/ethnicity with added sugar intake, and to evaluate the consistency of relationships using a short instrument to those from a different survey using more precise dietary assessment. DESIGN: Cross-sectional, nationally representative, interviewer-administered survey. SUBJECTS/SETTING: Adults (aged > or = 18 years) participating in the 2005 US National Health Interview Survey Cancer Control Supplement responding to four added sugars questions (n=28,948). STATISTICAL ANALYSES PERFORMED: The intake of added sugars was estimated using validated scoring algorithms. Multivariate analysis incorporating sample weights and design effects was conducted. Least squares means and confidence intervals, and significance tests using Wald F statistics are presented. Analyses were stratified by sex and controlled for potential confounders. RESULTS: The intake of added sugars was higher among men than women and inversely related to age, educational status, and family income. Asian Americans had the lowest intake and Hispanics the next lowest intake. Among men, African Americans had the highest intake, although whites and American Indians/Alaskan Natives also had high intakes. Among women, African Americans and American Indians/Alaskan Natives had the highest intakes. Intake of added sugars was inversely related to educational attainment in whites, African Americans, Hispanic men, and American Indians/Alaskan Native men, but was unrelated in Asian Americans. These findings were generally consistent with relationships in National Health and Nutrition Examination Survey 2003-2004 (using one or two 24-hour dietary recalls). CONCLUSIONS: Race/ethnicity, family income, and educational status are independently associated with intake of added sugars. Groups with low income and education are particularly vulnerable to diets with high added sugars. Differences among race/ethnicity groups suggest that interventions to reduce intake of added sugars should be tailored. The National Health Interview Survey added sugars questions with accompanying scoring algorithms appear to provide an affordable and useful means of assessing relationships between various factors and added sugars intake.

Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study.

The need for an inexpensive measure of dietary intake in intervention studies led to evaluation of the National Cancer Institute (NCI) Percentage Energy from Fat short instrument (PFat) in a subgroup of the Behavioral Change Consortium (BCC) intervention sites. The PFat's performance was evaluated using multiple nonconsecutive 24-h dietary recalls (24HR) as a reference instrument among participants at baseline in 4 demographically diverse intervention sites of the BCC. Mean estimates of percentage energy from fat for 24HR and PFat were within 2.1 percentage points of each other in all but 2 site/gender comparisons. 24HR and PFat estimates were not significantly different (P < 0.05) among men for 2 of 3 sites, and among women for 2 of 4 sites. Deattenuated Pearson correlation coefficients for the PFat and true intake (as estimated from the 24HR using a measurement error model) were significantly different from 0 (P < 0.05) for men and women in all sites, ranging from 0.52 to 0.77 among men and 0.36 to 0.59 among women. Besides gender and site, no other factors examined (age, education, smoking status, and BMI) consistently moderated validity estimates. If accurate assessment of diet at baseline (and presumably at follow-up) is essential, a more detailed instrument such as multiple 24HR may be warranted. The question of whether the PFat adequately measures change in diet is addressed in another article in this supplement.

Dietary intake estimates in the National Health Interview Survey, 2000: methodology, results, and interpretation.

OBJECTIVES: To describe the implementation of the Multifactor Screener in the 2000 National Health Interview Survey (NHIS); to provide intake estimates for fruits and vegetables, fiber, and percentage of energy from fat by various demographic and behavioral characteristics; and to discuss the strengths and weaknesses of the method. DESIGN/SUBJECTS: The 2000 NHIS was conducted in 38,632 households in a clustered sample representative of the 48 contiguous states in the United States. The Cancer Control Module was administered to adults (18 years and older) and included 17 dietary intake questions. ANALYSES: After excluding individuals with missing data or unlikely values on the diet questions, we computed individual intake of servings of fruits and vegetables, percentage of energy from fat, and grams of fiber. We estimated median intakes and distributions of intakes using adjusted variance estimates. We present bivariate relationships between diet and demographics and diet and behavioral characteristics in almost 30,000 adults in the United States. RESULTS: In general, intakes of these dietary factors were closer to recommendations among well-educated individuals, those engaged in other healthful behaviors, and underweight and normal weight individuals. Latinos had higher intakes of fruits and vegetables (men: 6 servings; women: 4.8 servings) and fiber (men: 23 g; women: 17 g), and generally a lower percentage of energy intake from fat (men: 33.7%; women: 32.1%) than did non-Latino whites (men: 5.4 servings; women: 4.5 servings; men: 19 g; women: 14 g; men: 33.9%; women: 32.0%) and non-Latino blacks (men: 5.4 servings; women: 4.4 servings; men: 19 g; women: 13 g; men: 34.7%; women: 33.5%). The strengths and limitations of the short dietary assessment method are discussed. CONCLUSIONS: The Multifactor Screener in NHIS, when used in conjunction with external reference data, provides reasonable estimates for three dietary factors and suggests relationships between intakes and other characteristics that are consistent with other data. Thus, these NHIS estimates could provide useful national benchmarks for local surveys using the same instrument.

Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire.

OBJECTIVE: To evaluate the ability of 2 new short assessment instruments and a food frequency questionnaire (FFQ) to measure intake of fruit and vegetables. The "All-Day" screener asks frequency and portion size questions about 9 food items. The "By-Meal" screener is similar, except that it asks about 2 of those 9 food items in terms of mealtime. DESIGN: Survey participants completed 4 telephone-administered 24-hour dietary recalls over 1 year, a self-administered FFQ 1 to 2 months later, and 1 of 2 self-administered screeners after an additional 7 months. SUBJECTS/SETTING: Participating were 202 men and 260 women aged 20 to 70 years living throughout the United States. STATISTICAL ANALYSES: Fruit and vegetable intakes measured by each screener and the FFQ were compared with true usual intake based on a measurement error model with 24-hour dietary recalls as the reference instrument. RESULTS: Estimates of median daily servings of fruit and vegetables were as follows: For men: True intake (5.8) vs All-Day screener (5.0), By-Meal screener (5.5), and FFQ (6.6); for women: true intake (4.2) vs All-Day screener (5.0), By-Meal screener (5.4), and FFQ (6.2). Estimated correlations between the test instruments and true intake were as follows: For men: All-Day screener (0.66), By-Meal screener (0.67), FFQ (0.68); for women: All-Day screener (0.51), By-Meal screener (0.53), and FFQ (0.54). APPLICATIONS/CONCLUSIONS: Both screeners might be useful to estimate median intakes of fruit and vegetable servings in US populations, but they might be less useful in accurately ranking individuals. More research is needed before using the screeners in ethnic or low-literacy populations.