Blood biomarkers of various dietary patterns correlated with metabolic indicators in Taiwanese type 2 diabetes

Autor: Meng-Chuan Huang, Chiao-I Chang, Wen-Tsan Chang, Yen-Ling Liao, Hsin-Fang Chung, Chih-Cheng Hsu, Shyi-Jang Shin, Kun-Der Lin
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Food & Nutrition Research, Vol 63, Iss 0, Pp 1-9 (2019)
Druh dokumentu: article
ISSN: 1654-661X
DOI: 10.29219/fnr.v63.3592
Popis: Background: Metabolic alterations correlate with adverse outcomes in type 2 diabetes. Dietary modification serves as an integral part in its treatment. Objective: We examined the relationships among dietary patterns, dietary biomarkers, and metabolic indicators in type 2 diabetes (n = 871). Design: Diabetic patients (n = 871) who provided complete clinical and dietary data in both 2008 and 2009 were selected from a cohort participating in a diabetic control study in Taiwan. Dietary data were obtained using a short, semiquantitative food frequency questionnaires, and dietary pattern identified by factor analysis. Multiple linear regressions were used to analyze the association between dietary biomarkers (ferritin, folate, and erythrocyte n-3 polyunsaturated fatty acids [n-3 PUFAs]) and metabolic control upon adjusting for confounders. Results: Three dietary patterns (high-fat meat, traditional Chinese food–snack, and fish–vegetable) were identified. Ferritin correlated positively with high-fat meat factor scores (P for trend
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