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ARS Home » Northeast Area » Boston, Massachusetts » Jean Mayer Human Nutrition Research Center On Aging » Research » Publications at this Location » Publication #184190
Title: DIETARY PATTERNS OF OLDER ADULTS IDENTIFIED AS PLAUSIBLE REPORTS

Author
item BAILEY, REGAN - PENN STATE UNIVERSITY
item MITCHELL, DIANE - PENN STATE UNIVERSITY
item MILLER, CARLA - PENN STATE UNIVERSITY
item SMICIKLAS-WRIGHT, H - PENN STATE UNIVERSITY

Submitted to: Journal Of The American Dietetic Association
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/1/2005
Publication Date: 4/1/2005
Citation: Bailey, R.K., Mitchell, D.C., Miller, C.K., Smiciklas-Wright, H. 2005. Dietary patterns of older adults identified as plausible reports. The FASEB Journal 19: A975.

Interpretive Summary: NOT NEEDED

Technical Abstract: Underreporting of dietary intake is a pervasive problem in assessing diet and may attenuate relationship between diet, biomarkers and health status. The purpose of this study was to identify misreporting among older rural adults using an established prediction algorithm (McCrory et al. Pub Health Nutr. 2002; 5(6A) 873-82) and to compare dietary patterns of under reporters (UR) and plausible reporters (PR). Data were part of a cohort (n=179) from the Geisinger Rural Aging Study (GRAS). Demographic, health, and anthropometric data were collected via home visit; dietary intake was assessed by five 24-hour recalls collected over 10 months. Reported energy intake was compared to predicted energy expenditure. Participants were characterized as under/over/normal energy reporters based on standard deviations (SD) derived from individual coefficients of variation. There were 133 PR (74%), 43 UR (24%) and 2% over reporting. Cluster analysis was used to determine dietary patterns. UR were more likely to be overweight than PR (higher BMI 29.5 vs. 27, p=<.0001; waist circumference 97 vs 92 cm, p=.002) but did not differ by gender, education level, or marital status. Dietary patterns did not yield significantly different results when excluding UR. The relationship between energy intake and BMI was strengthened for men who were PR but not women.