A cross-sectional study on associations between dietary patterns and cognitive function among Korean elderly
Joint Event on 17th International Conference on Nutrition and Fitness & 2nd International Conference on Gastroenterology and Digestive Disorders
May 23-24, 2019 | Vienna, Austria
Yoon Jung Yang, Yeong Mi Park, Bo Youl Choi and Mi Kyung Kim
Dongduk Women’s University, South Korea Hanyang University, South Korea
Posters & Accepted Abstracts : J Nutr Hum Health
Abstract:
People consume various foods with complex
combinations of nutrients. Therefore, dietary pattern is
a useful tool to consider overall diet. The aim of the study
was to determine associations between dietary patterns
and cognitive function among Korean elderly. A total of
1,394 subjects aged greater than or equal to 60-year olds
participated in the baseline survey.
Cognitive function was assessed by the Korean version of
the Mini-Mental State Examination (MMSE-KC) or the Mini-
Mental State Examination for Dementia Screening (MMSEDS).
Dietary intake was assessed by using a quantitative food
frequency questionnaire with 106 food items. Dietary
patterns from 23 predefined food groups were extracted by
factor analysis. Three major dietary patterns were identified
and assigned descriptive names based on the food items
with high loadings: “healthy” pattern, “western” pattern,
and “mixed rice only”pattern. The “healthy” pattern
was characterized by high consumptions of vegetables,
fish, dairy products, and fruits. The “healthy” pattern was
associated with a higher MMSE score. This cross-sectional
study suggests that a diet with high consumptions of
vegetables, fish, dairy products, and fruits may be beneficial
in cognitive function among Korean elderly. Further
longitudinal studies are needed to confirm these findings.
Biography:
Yoon Jung Yang is an associate professor at Dongduk Women’s University in South Korea. This presentation is a part of a collaboration with the professors of Hanyang University. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF- 2018R1D1A1B07049353).
E-mail: yjyang90@naver.com
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