Author: Sangeeta Dhir et al. Aim: To develop and validate a predictive model for moderate‐to‐severe periodonti‐ti in the adult USA population, with data from the 2011–2012 National Health and Nutrition Examination Survey (NHANES) cycle. Material and Methods: A subset of 3017 subjects aged >30 years, with >14 teeth present and having received a periodontal examination in addition to data collected on cardio‐metabolic risk measures (smoking habit, body mass index [BMI], blood pressure, total cholesterol and glycated haemoglobin [HbA1c]) were used for model development by multivariable logistic regression.
Results: The prevalence of moderate and severe periodontitis using CDC/AAP clas‐sification was 37.1% and 13.2%, respectively. A multivariable logistic regression model revealed that HbA1c ≥5.7%was significantly associated with moderate‐to‐se‐vere periodontitis (odds ratio, OR = 1.29; p…
