WIC Infant and Toddler Feeding Practices Study: protocol design and implementation.

The federal Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), which began in the 1970s, has undergone revisions in the past several years, including revision to contents of the supplemental food "packages" in 2009 based on recommendations provided by an Institute of Medicine (IOM) committee of The National Academies. In 2010, the IOM held a workshop to examine and recommend research priorities for the program. The overall purpose of the current (ie, second) WIC Infant and Toddler Feeding Practices Study (ITFPS-2) is to conduct a nationally representative, longitudinal study of contemporary WIC infant and toddler feeding practices. This study will update earlier studies and collect information on variations in WIC program components. The study will also assess ways in which WIC may address obesity in early childhood and examine changes in feeding practices that may stem from the 2009 food package revisions. The sample is drawn from the universe of WIC sites nationally, excluding only those with an insufficient volume of eligible participants. Eligibility for the study includes the ability to be interviewed in English or Spanish. Approximately 8000 women and infants are being sampled, and ∼ 4000 are expected to participate. Eligible women are invited to participate during their WIC enrollment visit, and informed consent is sought. The design includes a core sample to be followed until the infant reaches age 2 y and a supplemental sample to be used in some cross-sectional analyses to ensure adequate representation of groups that might be underrepresented in the core sample. Participants will complete up to 11 interviews (core sample) or 4 interviews (supplemental sample) each except for the prenatal interview, which includes a quantitative 24-h recall of food intake for the infant. Eighty sites have been sampled across 26 states and 1 territory. Instruments have been developed and pretested in both English and Spanish, and interviewers have been rigorously trained. Recruitment and interviewing began in July 2013. This study will provide the only current large-sample longitudinal feeding data available on a nationally representative sample of infants in low-income families, and results will be available to inform the 2020 Dietary Guidelines for Americans for the 0- to 24-mo age group.

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

BACKGROUND: The National Children's 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.

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.

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).

The National Cancer Institute (NCI) is developing an automated, self-administered 24-hour dietary recall (ASA24) application to collect and code dietary intake data. The goal of the ASA24 development is to create a web-based dietary interview based on the US Department of Agriculture (USDA) Automated Multiple Pass Method (AMPM) instrument currently used in the National Health and Nutrition Examination Survey (NHANES). The ASA24 food list, detail probes, and portion probes were drawn from the AMPM instrument; portion-size pictures from Baylor College of Medicine's Food Intake Recording Software System (FIRSSt) were added; and the food code/portion code assignments were linked to the USDA Food and Nutrient Database for Dietary Studies (FNDDS). The requirements that the interview be self-administered and fully auto-coded presented several challenges as the AMPM probes and responses were linked with the FNDDS food codes and portion pictures. This linking was accomplished through a "food pathway," or the sequence of steps that leads from a respondent's initial food selection, through the AMPM probes and portion pictures, to the point at which a food code and gram weight portion size are assigned. The ASA24 interview database that accomplishes this contains more than 1,100 food probes and more than 2 million food pathways and will include about 10,000 pictures of individual foods depicting up to 8 portion sizes per food. The ASA24 will make the administration of multiple days of recalls in large-scale studies economical and feasible.

Food composition data: the foundation of dietetic practice and research.

Food composition databases and dietary assessment systems are important tools for food and nutrition professionals. The availability and accessibility of data have improved over time along with the technology to convert the information into useful formats for planning diets, writing educational materials, counseling patients, and conducting research. Primary sources of food composition data include government, academic, and other institutional databases; the food industry; and scientific literature. Changes in the marketplace affect food availability and composition and affect the accuracy and adequacy of food composition databases. Improvements in both food composition data and in dietary assessment methods have worked synergistically to improve estimates of dietary intake. The development of databases for food frequency assessment systems requires special considerations for data aggregation for each food or food grouping in the questionnaires. Considerations for selecting a dietary assessment system include appropriateness of the data for the intended audience or purpose, efficiency of the search strategy for retrieving data, content and format of summary information, and cost. Needs for food composition data vary depending on dietetic practice area; however, most food and nutrition professionals will benefit from becoming more informed about food composition data, exploring new ways to educate themselves about databases and database systems, and advocating for what is most needed in dietetic practice.

Formative research of a quick list for an automated self-administered 24-hour dietary recall.

Twenty-four-hour dietary recalls are used to collect high-quality dietary data. Because they require highly trained interviewers, recalls are expensive and impractical for large-scale nutrition research, leading to the use of food frequency questionnaires. We are developing a computer-based, self-administered 24-hour dietary recall for use by adults. Our goal is an easy-to-use, low-cost, publicly available, Web-enabled instrument that will include elements of the Automated Multiple Pass Method developed by the US Department of Agriculture, which uses five passes to enhance recall. The initial pass is called the "quick list" and allows respondents to report foods consumed the previous day freely, in any order, and without detail. Using a crossover design, we conducted initial formative pilot testing among 18 adults in a self-administered computer environment. We tested two versions of a "quick list" (the first Automated Multiple Pass Method pass) for remembering foods consumed the previous day: "unstructured" and "meal-based." Respondents showed a strong preference for the meal-based version (13 of 18), although positive features of both were identified. Chronological reporting was most common, although many foods were sporadically reported out of order. Versions did not appreciably differ in number of foods reported, moved, or deleted. Usability issues and preferences were also identified. If these developmental efforts prove successful, the use of affordable automated recalls could be valuable in clarifying diet-disease associations in observational epidemiologic studies and measuring dietary compliance in clinical trials. This pilot work illustrates the usefulness of formative cognitive and usability testing for questionnaire and software development.