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Comparing actual caloric value of food purchases with NHANES: what is missing?
Author(s) -
Piernas Carmen,
Ng Shu Wen,
Popkin Barry M.
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.256.4
Subject(s) - per capita , national health and nutrition examination survey , caloric theory , nutrition facts label , food group , agricultural economics , statistics , demography , environmental health , medicine , economics , mathematics , population , sociology
Surprisingly little is known about the actual food and beverage choices that US individuals make as reflected in the food and nutrient values of NHANES. We explored and contrasted total energy intake and energy from beverage groups from two sources of data that monitor food choices in the US: measures of yearly food purchases from 67,570 US households (adults >19 y old) from the Nielsen Homescan Longitudinal dataset from 2005–2008; and intake data from store foods from one 24‐h recall from 10,333 U.S. adults >19 y from NHANES 2005–2008. We developed multiple methodological approaches to derive per‐capita estimates of daily energy intake and kcal from beverages from the Homescan dataset: a per capita, an adult equivalence scale, and a regression‐based marginal consumer approach. Survey commands were implemented in STATA 12 to account for survey design and weighting. Per‐capita daily energy intake from NHANES surveys is 300 kcal lower than per capita estimates of caloric value of food/beverage purchases from Homescan. We will explore specifics of beverage over/underreporting in depth in the analysis with a focus on rapidly increasing categories such as energy drinks. This study is the first to compare actual purchases of each specific beverage categories with NHANES. Our results add new evidence of the potential effect of recall bias on estimates of caloric intake when using national surveys in nutritional research. Grant Funding Source : UNC (R01‐CA109831, R01‐CA121152); the Robert Wood Johnson Foundation (Grant 68793) and the National Institutes of Health (R01 HL104580)