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Differing effects of statistical approaches to assess the relationship between egg consumption patterns and adiposity using data from 2001–2008 NHANES
Author(s) -
Nicklas Theresa A.,
O'Neil Carol E.,
Fulgoni Victor L.
Publication year - 2013
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.27.1_supplement.622.14
Subject(s) - waist , body mass index , population , consumption (sociology) , demography , statistical significance , refined grains , biology , environmental health , medicine , statistics , food science , mathematics , whole grains , endocrinology , social science , sociology
Associations between food patterns and adiposity are poorly understood. Three statistical approaches examining the association between egg consumption and adiposity were tested. Participants (n=18,987) were 19 + years from 2001–2008 NHANES. 24 hour diet recall data provided intake; body mass index (BMI) and waist circumference (WC) determined adiposity. Least‐square means ± SE, adjusting for appropriate covariates, were generated. The first statistical approach categorized participants into egg or non‐egg consumers. Consumers had higher mean BMI (p=0.006) and WC (p=0.002) than non‐consumers. Second, cluster analysis identified 8 distinct egg consumption patterns (explaining 34.5% of the variance in total energy intake). Two egg patterns (egg/meat, poultry, fish [MPF]/grain/vegetables & egg/MPF/grain), consumed by ≤2% of the population, drove the association (compared with no egg pattern) between egg consumption and BMI and WC. The third approach controlled for other food groups consumed with eggs in those two egg patterns. Only the egg/MPF/grain pattern remained associated with BMI and WC (both p≤0.0063). Care needs to be taken with data interpretation of diet and health risk factors and the choice of statistical analyses since these studies are used to generate hypotheses. Additional studies are needed to better understand these relationships. Support: USDA & Egg Nutrition Board.