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ABSTRACT: Background
It is important to detect the predictors of prediabetes progressing to diabetes. Although polyols affect glycometabolism, little is known about the association between fasting serum polyol levels of participants with habitual diet and the risk of prediabetes progressing to type 2 diabetes.Methods
In this nested case-control study, 180 participants who developed from prediabetes to type 2 diabetes (progressors), and 180 matched controls (non-progressors) with prediabetes during a 3.5-year follow-up were enrolled. The baseline levels of serum polyols in the fasting state were quantified using time-of-flight mass spectrometry. Multivariate conditional logistic regression was performed to assess the effects of the differential polyol levels on the risk of incident di
SUBMITTER: Qi Y
PROVIDER: S-EPMC11799369 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature