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The Relationship Between the Korean Adults Diet Evaluated Using Dietary Quality Indices and Metabolic Risk Factors: Based on the 2016 ~ 2019 Korea National Health and Nutrition Examination Surveyopen access

Authors
Ding, Chong-YuPark, Pil-SookPark, Mi-Yeon
Issue Date
Jun-2022
Publisher
Korean Society of Community Nutrition
Keywords
dietary quality index; food group; metabolic risk factor
Citation
Korean Journal of Community Nutrition, v.27, no.3, pp 223 - 244
Pages
22
Indexed
SCOPUS
Journal Title
Korean Journal of Community Nutrition
Volume
27
Number
3
Start Page
223
End Page
244
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/69456
DOI
10.5720/kjcn.2022.27.3.223
ISSN
2951-3146
Abstract
Objectives: This study was designed to investigate the relationship between metabolic risk factors, Index of Nutrition Quality, and the dietary quality index score of Korean adults. Methods: The subjects were 18,652 Korean adults aged 19 years or older (7,899 males, 10,753 females) who participated in the 2016-2019 Korea National Health and Nutrition Examination Survey. Subjects were divided into normal, pre-metabolic syndrome, and metabolic syndrome (MetS) groups according to the number of their metabolic risk factors. Data were analyzed using the SPSS program. Results: About 44.7% of men in the MetS group were at least college graduates (P < 0.001), whereas 52.0% of women in the MetS group were middle school graduates or lower (P < 0.001). The frequency of fruit and dairy products intake tended to decrease as the number of metabolic risk factors increased in both men and women (P for trend < 0.001). As the number of metabolic risk factors decreased, the frequency of grain intake tended to decrease in men (P for trend < 0.001) while the frequency of intake of red meat (P for trend = 0.001), poultry (P for trend < 0.001), and eggs (P for trend < 0.001) decreased in women. The total scores of Diet Quality Index-International (DQI-I) (men P < 0.001, women P < 0.01) and Korean Healthy Eating Index (KHEI) (men and women P < 0.001) were significantly lower in the MetS group compared to the other groups, and the total score of DQI-I and KHEI tended to decrease as the number of metabolic risk factors increased. Conclusions: Dietary quality evaluation using various indices can provide more information on the dietary problems related to metabolic risk factors. Nutrients and foods that have been confirmed to be related to metabolic risk factors can be used to develop dietary guidelines for the nutritional management of metabolic diseases. © 2022 Korean Society of Community Nutrition.
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