The Impact of Conventional Dietary Intake Data Coding Methods on Snacks Typically Consumed by Socioeconomically Diverse African American and White Urban Population: A Comparison of Coding Methods
نویسندگان
چکیده
This study assessed the significance of implementing combination codes generated by USDA’s Automated Multiple Pass Method and the impact on the assessment of snacking using the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study. African American and White participants (n=2177) completed two 24-hour dietary recalls. All self-reported snacks were assigned a food group code, while snacks eaten in combination (e.g. cereal with milk) were additionally assigned a combination code and associated with a food group based on primary component (e.g. cereal). Combination codes produced significant variation in snack lists by race, providing a better depiction of snacking patterns. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [National Nutrient Databank Conference Steering Committee]
منابع مشابه
The impact of conventional dietary intake data coding methods on foods typically consumed by low-income African-American and White urban populations.
OBJECTIVE Analysing dietary data to capture how individuals typically consume foods is dependent on the coding variables used. Individual foods consumed simultaneously, like coffee with milk, are given codes to identify these combinations. Our literature review revealed a lack of discussion about using combination codes in analysis. The present study identified foods consumed at mealtimes and b...
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