Relevance of the dietary glycemic index, glycemic load and genetic predisposition for the glucose homeostasis of Chinese adults without diabetes.
Type 2 diabetes (T2DM) and pre-diabetes have become a major public health problem in China. We examined whether a higher dietary glycemic index (GI) or glycemic load (GL) was associated with a less favorable glucose homeostasis among Chinese adults and whether these associations were modified by their genetic predisposition or whether combined effects exist with their cereal fiber intake. Multivariable regression analyses were performed in 3918 adults aged 23-69 years for whom three 24-hour dietary recalls and information on glucose homeostasis, genetic background and potential confounders was available. Adults in the highest GI (GL) tertile had an approximately 9% (5%) higher fasting plasma glucose, 11% (3%) higher glycated haemoglobin, 12% (7%) higher insulin level, and 28% (22%) higher hepatic insulin resistance compared to those in the lowest tertile (adjusted pfor-trend≤ 0.04). Moreover, a higher dietary GI or GL was associated with higher odds of pre-diabetes (pfor-trend= 0.03). These associations were more pronounced among persons with a high T2DM genetic risk score (pfor-interaction≤ 0.06) or a low cereal fiber intake (pfor-interaction≤ 0.05). In conclusion, our study indicates that the dietary GI or GL is of relevance for glucose homeostasis among Chinese adults, particularly among individuals genetically predisposed to T2DM.
West China School of Public Health and State Key Laboratory of Biotherapy and Cancer Center, Sichuan University, Chengdu, P.R. China. gcheng@scu.edu.cn.
Guo
G
Cheng
West China School of Public Health, Sichuan University, Chengdu, P.R. China.
Hongmei
H
Xue
West China School of Public Health, Sichuan University, Chengdu, P.R. China.
Jiao
J
Luo
Department of Epidemiology and Biostatistics, School of Public Health, Southwest Medical University, Luzhou, China.
Hong
H
Jia
West China School of Public Health, Sichuan University, Chengdu, P.R. China.
Lishi
L
Zhang
MOE Key Laboratory of Bioinformatics and Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China.
Junbiao
J
Dai
IEL-Nutritional Epidemiology, University of Bonn, DONALD Study, Dortmund, Germany.
Anette E
AE
Buyken
D000328:Adult; D000368:Aged; D044466:Asian People; D001786:Blood Glucose; D002681:China / Q000453:epidemiology; D004032:Diet; D004043:Dietary Fiber / Q000378:metabolism; D002523:Edible Grain; D005260:Female; D020022:Genetic Predisposition to Disease; D005947:Glucose / Q000378:metabolism*; D038321:Glycemic Index; D000067940:Glycemic Load; D006801:Humans; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D011236:Prediabetic State / Q000453:epidemiology* / Q000235:genetics / Q000378:metabolism; D055815:Young Adult
D001786:Blood Glucose; D004043:Dietary Fiber; D005947:Glucose