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. 2021 Dec 13;12:769120. doi: 10.3389/fendo.2021.769120

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Copyright © 2021 He, Zheng, Li, Cao, Hou, Zhao, Xu, Chen, Lu, Wang, Xu, Bi, Wang, Li, Liu and Ning

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Associations of the number of glucose metabolic risk components with cognitive function. Participants with missing data on any of the glucose components (n = 387) were excluded from the analysis. Logistic regression models were used to generate odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) to detect the odds of cognitive impairment, adjusted for age, gender, race, education, sleep disorder, history of stroke, history of hyperlipidemia, BMI, SBP, smoking, and alcohol consumption. AF, Animal Fluency Test; BMI, body mass index; CERAD-IR, Consortium to Establish a Registry for Alzheimer’s Disease Immediate Recall; CERAD-DR, Consortium to Establish a Registry for Alzheimer’s Disease Delayed Recall; DSST, Digit Symbol Substitution Test; SBP, systolic blood pressure.