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Dietary patterns of older adults identified by a dietary quality screening tool
Author(s) -
Bailey Regan L,
Mitchell Diane C,
Miller Carla K,
Still Chris D,
Jensen Gordon L,
Tucker Katherine L,
SmiciklasWright Helen
Publication year - 2006
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.20.5.lb87-d
Subject(s) - medicine , environmental health , cohort , food frequency questionnaire , food group , refined grains , gerontology , food science , whole grains , biology
Dietary patterns (DP) have been associated with nutritional and health status of older adults. DP assessment is typically based on comprehensive dietary assessment methods (i.e. 24‐h recall, FFQ), which are not intended for broad‐based screening. We created a diet quality screener questionnaire (DQS) for older adults based on existing dietary pattern analysis data among a cohort of the Geisinger Rural Aging Study. The DQS was then completed by a new GRAS sample (n=208). The DQS has 35‐items, mainly with categorical response options. This study reports the initial analysis of dietary pattern profiles assessed via the DQS. Principle components analysis of the DQS yielded 2 distinct response patterns (RP) based on scree plots and eigenvalues. RP1 was characterized by fruits, vegetables, lean meats and whole grains. RP2 was characterized by cakes, cookies, candy, alcohol, processed meats, ice cream and salty snacks. These findings are consistent with previous analysis within GRAS and other studies that have found “Western” and “prudent” dietary patterns. This analysis indicates the DQS can differentiate between healthy and unhealthy dietary habits, which may help identify older adults at nutrition risk. Supported in part by USDA # 58‐1950‐6019, NIH R21AG023179‐01A1 and NIA training grant #T32AG00048.