Suzanne McNutt

The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute

Extensive evidence has demonstrated that 24-hour dietary recalls (24HDRs) provide high-quality dietary intake data with minimal bias, making them the preferred tool for monitoring the diets of populations and, increasingly, for studying diet and disease associations (1-3). Traditional 24HDRs, however, are expensive and impractical for large-scale research because they rely on trained interviewers, and multiple administrations are needed to estimate usual intakes. To address these challenges, the National Cancer Institute (NCI), in collaboration with the research firm Westat (Rockville, MD), and with the support of other institutes and offices at the National Institutes of Health, developed the Automated Self-Administered 24-hour dietary recall (ASA24) (4-6). ASA24 is a public-access, freely available, web-based tool for researchers, clinicians and educators, modeled on the Automated Multiple Pass Method (AMPM) (7). Development of an automated self-administered 24HDR for adults began in 2006 and was informed by input from stakeholders participating in an External Working Group and small-scale cognitive and usability testing (4,5). A Beta version released in August 2009 has been used by over 175 researchers to collect over 40,000 recalls; Version 1, which offers improved usability and new features, was released in September 2011 (8). A modified version intended for self-administration by children is under development by researchers at the Baylor College of Medicine (Houston, TX) and is expected to be available mid-2012 (9,10). This paper describes the features of ASA24 and planned evaluations.

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.

Feasibility of community food item collection for the National Children's Study.

BACKGROUND The National Childrens Study proposes to investigate biological, chemical, physical, and psychosocial environmental exposures and their role on health outcomes in pregnant women and children. One specific area of concern is contaminant exposure through the ingestion of solid foods. National food contaminant databases may miss dietary exposures unique to specific communities and sources of food. OBJECTIVE The purpose of this study was to evaluate the feasibility of community food item collection for the assessment of pesticide exposure in pregnant women and young children. METHODS A prospective observational design was used to test the food collection protocol in mothers (n=45) of children aged 15-24 months in Salt Lake City, Utah. Foods for collection were based on: 1) frequency of different foods consumed by the target population as determined by the National Health and Nutrition Examination Survey data; 2) child food frequency questionnaire; and 3) likelihood of pesticide contamination in the foods. Assessment measures included: demographics, environmental health survey, quality assurance checklist, and participant evaluation form. RESULTS An average of three food items were obtained from 44 households, yielding a collection rate of 97.8%. Overall, 100% of the food samples were rated as acceptable. Moreover, a vast majority of mothers reported that the study was not burdensome (95.5%) and that preparing the food sample was easy (93.2%). CONCLUSIONS This study suggests that the community food item collection methodology shows promise as a low-burden approach for capturing dietary exposures on a household level, and appears to be a feasible tool for large population studies to assess dietary exposures unique to specific communities.

Assuring Quality for National Health and Nutrition Examination Survey Dietary Coding

Abstract Dietary intake estimates from National Health and Nutrition Examination Surveys (NHANES) are used to evaluate public health policies and monitor the health and nutritional status of the US population. High quality data are needed to monitor trends in food and nutrient intakes. During the recent NHANES 1999 pilot test, quality control procedures for reviewing and coding dietary recall data were pretested and finalized for the main survey. The quality of the coded dietary data was addressed at three critical stages. Initially, dietary recall coding guidelines and procedures were developed, documented, and indexed in a coder manual. Methodologies and materials from previous national dietary surveys were reviewed. Coders were trained on the specifics of the survey databases and coding procedures. All trainees were required to code test intakes to demonstrate proficiency in the use of the survey databases and coding guidelines. During the second stage, checks of coded data assured that procedural standards were met. Coding managers reviewed coder notes and resolved outstanding questions. Formatted reports assisted in editing for new foods, modified recipes, and best food code choice. Duplicate coding was performed on ten percent of all dietary recalls. Coders were retrained as needed. During the final stage, coded data were reviewed from a variety of perspectives. Automated reports listed unusual amounts and outlier values for final verification and editing. Dietary survey data presents interesting challenges to researchers. The US food supply is dynamic which necessitates frequent database updates. Well-documented and tested quality control and data review processes assure the research community of high quality, national dietary data for years to come.