Skip to main content
ARS Home » Northeast Area » Boston, Massachusetts » Jean Mayer Human Nutrition Research Center On Aging » Research » Publications at this Location » Publication #211989

Title: Dietary patterns are similar in multiple 24-hour recalls and a dietary screening tool

Author
item BAILEY, REGAN - PENN STATE UNIV
item MITCHELL, DIANE - PENN STATE UNIV
item Tucker, Katherine
item SMICIKLAS-WRIGHT, HELEN - PENN STATE UNIV

Submitted to: Experimental Biology
Publication Type: Abstract Only
Publication Acceptance Date: 11/29/2006
Publication Date: 4/30/2007
Citation: Bailey, R.L., Mitchell, D.C., Tucker, K., Smiciklas-Wright, H. 2007. Dietary patterns are similar in multiple 24-hour recalls and a dietary screening tool. Experimental Biology. 21: 242.4.

Interpretive Summary:

Technical Abstract: Dietary patterns (DP) have been associated with nutritional and health status of older adults but are usually derived by comprehensive dietary assessment methods. We designed a dietary screening tool (DST) to assess DP using a population-specific data-based approach from a cohort of the Geisinger Rural Aging Study (GRAS). The purpose of this study was to compare DP from 24-hour recalls to DP derived from the DST. A sample (n=206, 83 m and 123 f) was recruited through the GRAS population (n=>20,000). Biochemical and anthropometric were collected at a clinic visit. Dietary data (4, 24-hour recalls) were collected via telephone during the 4-6 weeks after the clinic visit. DP were determined via factor analysis from the DST and cluster analysis on the 24-hour recall data. Two DP were derived from both the DST and the 24-hour recalls: one with more nutrient density and lower saturated fat characterized by foods such as fruits, vegetables and lean meats and one with less nutrient density and higher saturated fat compromised of high fat meats, sweets, sweet breads like cakes and cookies. The more nutrient dense patterns were associated with more favorable biomarkers (i.e. HDL-cholesterol and serum Vitamin B12) and lower waist circumference, whereas the converse was true for the second pattern. This analysis indicates 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.