Background: Periodontal diseases are closely connected with insulin resistance (IR) and metabolic syndrome. The Triglyceride Glucose Index (TyG) assesses IR, and recently, a few indices combining TyG and body composition have emerged with higher IR predictive performance than TyG alone. We aimed to examine which TyG-related parameters are most helpful in predicting the risk of periodontal disease.
Methods: From 2013 to 2015, data were collected through the Korean National Health and Nutrition Examination Survey. Periodontitis was defined using the Community Periodontal Index. TyG-body mass index (BMI), TyG-waist circumference (WC), and TyG-waist-to-height ratio (WHtR) were calculated by multiplying TyG index score by BMI, WC, and WHtR, respectively. Multiple logistic regression analysis was used to calculate odds ratio (OR) and 95% confidence intervals (CI). Receiver operating characteristic curves were used to estimate areas under the curve (AUC).
Results: Compared to each reference quartile (Q)1, Q4 of the TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were significantly associated with a higher risk of periodontitis after adjusting for confounders (OR, 95% CI; 1.23, 1.01-1.49 for TyG; 1.63, 1.22-2.17 for TyG-BMI; 1.37, 1.04-1.81 for TyG-WC; and 1.53, 1.16-2.02 for TyG-WHtR). The AUC and 95% CIs of TyG, TyG-BMI, TyG-WC, and TyG-WHtR in predicting periodontitis were 0.609 (0.600-0.617), 0.605 (0.596-0.617), 0.629 (0.621-0.637), and 0.636 (0.628-0.644), respectively (all p < .001).
Conclusions: TyG, TyG-BMI, TyG-WC, and TyG-WHtR appear to be significantly associated with the prevalence of periodontitis. Among the TyG and modified TyG indices, TyG-WHtR exhibited the highest predictive performance for periodontitis.
Keywords: glucose; insulin resistance; periodontitis; triglycerides.
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