Related Experiment Video
Updated: Feb 13, 2026

Induction of Periodontitis via a Combination of Ligature and Lipopolysaccharide Injection in a Rat Model
Published on: February 17, 2023
Insulin resistance predicts the risk of gingival/periodontal inflammation
Oelisoa M Andriankaja1, Francisco J Muñoz-Torres1, José Vivaldi-Oliver1
1University of Puerto Rico, Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion, San Juan, Puerto Rico.
Objectives:
Evaluate whether insulin resistance (IR) predicts the risk of oral inflammation, assessed as the number of sites with bleeding on probing (BOP) and number of teeth with probing pocket depths (PPD) ≥ 4 mm and BOP.
Methods:
Data on 870 overweight/obese diabetes free adults, aged 40-65 years from the San Juan Overweight Adults Longitudinal Study over a three-year period, was analyzed. Baseline IR, assessed using the Homeostasis Model Assessment of IR (HOMA-IR) index, was divided into tertiles. BOP was assessed at buccal and lingual sites, and PPD at six sites per tooth. Negative binomial regression was used to estimate the risk ratios (RRs) for oral inflammation adjusted for baseline age, gender, smoking status, alcohol intake, education, physical activity, waist circumference, mean plaque index, and baseline number of sites with BOP, or number of teeth with PPD≥4 mm and BOP. The potential impact of tertiles of serum TNF-α and adiponectin on the IR-oral inflammation association was also assessed in a subsample of 597 participants.
Results:
Participants in the highest HOMA-IR tertile at baseline had significantly higher numbers of sites with BOP [RR = 1.19, 95% confidence interval (CI): 1.03-1.36] and number of teeth with PPD ≥ 4 mm and BOP (RR = 1.39, 95% CI: 1.09-1.78) at follow-up, compared with individuals in the lower two HOMA-IR tertiles. Neither TNF-α nor adiponectin confounded the associations.
Conclusion:
IR significantly predicts gingival/periodontal inflammation in this population.
Related Concept Videos
Inflammation
Predicting Molecular Geometry
Relative Risk
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Insulin Secretory Vesicles
Resistivity

