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Title: Dietary Patterns are similar using a population specific diet screening tool and multiple 24-hour recalls

Author
item BAILEY, REGAN - PENN STATE UNIVERSITY
item MITCHELL, DIANE - PENN STATE UNIVERSITY
item TUCKER, KATHERINE - TUFTS UNIVERSITY
item SMICIKLAS-WRIGHT, HELEN - PENN STATE UNIVERSITY

Submitted to: Journal of Federation of American Societies for Experimental Biology
Publication Type: Abstract Only
Publication Acceptance Date: 3/30/2007
Publication Date: 4/30/2007
Citation: Bailey, R.L., Mitchell, D.C., Tucker, K.L., Smiciklas-Wright, H. 2007. Dietary patterns are similar using a population specific diet screening tool and multiple 24-hour recalls [abstract]. Journal of Federation of American Societies for Experimental Biology. 21(5):A123.

Interpretive Summary:

Technical Abstract: Dietary patterns (DP) are associated with nutritional and health status of older adults but requires comprehensive dietary assessment methods. We designed a dietary screening tool (DST) to assess DP using a population-specific data-based approach from a Geisinger Rural Aging Study (GRAS) cohort. This study compared DP from 24 hour recalls to DP derived from the DST. A sample (n=206, 83 m 123 f) was recruited through the GRAS. Biochemical and anthropometric were collected at a clinic visit. Dietary data (4, 24-hr recalls) were collected via telephone after the clinic visit. Two DP were derived from both the DST and the 24-hour recalls: one with more nutrient density and lower saturated fat characterized by fruits, vegetables and lean meats and one with less nutrient density and higher saturated fat compromised of high fat meats, sweets, cakes and cookies. The higher nutrient dense patterns were related to favorable biomarkers (i.e. HDL-cholesterol and Vitamin B12) and lower waist circumference, whereas the converse was true for the other patterns. This analysis indicates that a screening tool designed for a specific population can discern dietary patterns similar to those derived from more comprehensive assessment methods. This tool has the potential to identify older adults at nutrition risk.