Oelisoa M Andriankaja1, Francisco J Muñoz-Torres1, José Vivaldi-Oliver1, Brian G Leroux2, Maribel Campos1, Kaumudi Joshipura1,3, Cynthia M Pérez4. 1. University of Puerto Rico, Medical Sciences Campus, School of Dental Medicine, Center for Clinical Research and Health Promotion, San Juan, Puerto Rico. 2. University of Washington, School of Dentistry and School of Public Health, Seattle, WA. 3. Harvard School of Public Health, Boston, MA. 4. University of Puerto Rico, Medical Sciences Campus, Graduate School of Public Health, San Juan, Puerto Rico.
Abstract
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.
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.
Authors: J L Fleiss; M H Park; N W Chilton; J E Alman; R S Feldman; H H Chauncey Journal: Community Dent Oral Epidemiol Date: 1987-08 Impact factor: 3.383
Authors: Petra Timonen; Tuomas Saxlin; Matti Knuuttila; Anna Liisa Suominen; Antti Jula; Tellervo Tervonen; Pekka Ylöstalo Journal: J Clin Periodontol Date: 2013-12 Impact factor: 8.728
Authors: Oelisoa M Andriankaja; James J Jiménez; Francisco J Muñoz-Torres; Cynthia M Pérez; José L Vergara; Kaumudi J Joshipura Journal: J Clin Periodontol Date: 2015-12-11 Impact factor: 8.728