Fig 1.
Flowchart of study participants.
BMI, body mass index; FPG, fasting plasma glucose; HDL-C, high-density lipoprotein cholesterol; TG, triglyceride.
Table 1.
Baseline characteristics of participants.
Table 2.
Univariate Cox proportional hazards regression was used to assess the confounding factors influencing the probability of regression to normoglycemia from prediabetes.
Fig 2.
Kaplan-Meier curves for the probability of regression to normoglycemia from prediabetes.
Table 3.
Multivariate Cox proportional hazards regression was used to assess the confounding factors influencing the probability of regression to normoglycemia from prediabetes.
Fig 3.
The nonlinear association between METS-IR and the probability of regression to normoglycemia in individuals with prediabetes.
METS-IR, metabolic score for insulin resistance.
Fig 4.
Effect of metabolic score for insulin resistance on the regression to normoglycemia from prediabetes in specified subgroups.
BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure.