인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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개인구독
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study was intended to develop a Korean-dietary inflammatory index (K-DII) for metabolic disease patients, by using health examinee cohort data. It was also intended to evaluate the validity of K-DII.
Based on 18 food groups in the Korean Genome and Epidemiology Study (KoGES), food groups were reclassified into 51 groups. Food groups showing significance correlation with hs-CRP by binomial logistic regression analysis were selected. In order to evaluate the validity of the developed K-DII, the researchers analyzed the correlation with health indicators and the relationship between the odd ratio of metabolic syndrome and K-DII. ANOVA and logistic regression analysis were carried out, according to tertile of K-DII, by using SPSS 23 version.
Final 17 food groups were selected as factors utilized for the formula to calculate the K-DII assessment tool. The formula was the sum of product of intakes and beta values in each food group. A significant difference was shown in age, body mass index, waist measurement, diastolic blood pressure, triglyceride and hs-CRP, according to tertile of K-DII. In the results of analyzing metabolic syndrome risk according to K-DII, it was shown that metabolic syndrome risk in the group having the highest K-DII was 1.204 times higher than the lowest K-DII group (95% Cl; 1.123-1.290)(p=0.002, p for trend=0.000).
The K-DII was composed of food groups that represented the inflammatory potential in Korean diet. Its strong relationship with metabolic syndrome showed a usefulness in assessing the inflammatory status of total diets. It is hoped that the K-DII can be utilized in actual clinical settings as a nutritional assessment tool, after validation in different metabolic disease patients.
Based on 18 food groups in the Korean Genome and Epidemiology Study (KoGES), food groups were reclassified into 51 groups. Food groups showing significance correlation with hs-CRP by binomial logistic regression analysis were selected. In order to evaluate the validity of the developed K-DII, the researchers analyzed the correlation with health indicators and the relationship between the odd ratio of metabolic syndrome and K-DII. ANOVA and logistic regression analysis were carried out, according to tertile of K-DII, by using SPSS 23 version.
Final 17 food groups were selected as factors utilized for the formula to calculate the K-DII assessment tool. The formula was the sum of product of intakes and beta values in each food group. A significant difference was shown in age, body mass index, waist measurement, diastolic blood pressure, triglyceride and hs-CRP, according to tertile of K-DII. In the results of analyzing metabolic syndrome risk according to K-DII, it was shown that metabolic syndrome risk in the group having the highest K-DII was 1.204 times higher than the lowest K-DII group (95% Cl; 1.123-1.290)(p=0.002, p for trend=0.000).
The K-DII was composed of food groups that represented the inflammatory potential in Korean diet. Its strong relationship with metabolic syndrome showed a usefulness in assessing the inflammatory status of total diets. It is hoped that the K-DII can be utilized in actual clinical settings as a nutritional assessment tool, after validation in different metabolic disease patients.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2018-590-001250777
