title: Assessment of self-report measures for predicting population prevalence of periodontitis.
abstract: BACKGROUND
  Self-report measures have been used successfully for the surveillance of chronic diseases in adult populations. This pilot study assessed the use of self-report oral health measures for predicting the population prevalence of periodontitis in United States adults.
  
  
  METHODS
  Data were collected from 456 subjects participating in a 2007 study conducted by the Centers for Disease Control and Prevention. Each subject answered eight predetermined oral health self-report questions obtained from in-person interviews and were given a full-mouth periodontal examination using the National Health and Nutrition Examination Survey protocol. The predictiveness of measures from these self-report questions was assessed by multivariable logistic regression modeling measuring receiver operating characteristic (ROC) statistics, sensitivity, and specificity.
  
  
  RESULTS
  Multivariable modeling incorporating self-report measures on gum disease, loose teeth, and tooth appearance alone were most useful in predicting the prevalence of severe periodontitis and improved with the addition of demographic and risk factor variables, yielding an ROC value of 0.93, sensitivity of 54.6%, and specificity of 98% at the observed 4.8% prevalence of disease. Scaling and root planing treatments, loose teeth, and the use of mouthwash, combined with demographic and risk factor covariates, were moderately useful in predicting total periodontitis.
  
  
  CONCLUSIONS
  Multivariable modeling of specific self-report oral health measures is promising for predicting the population prevalence of severe periodontitis, confirming earlier assessments from a national survey. These results justify further assessments of self-report oral health measures for use in the surveillance of periodontitis in the adult United States population.
authors.affiliation: Division of Oral Health, National Center for Chronic Disease and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. peke@cdc.gov
authors.forename: Paul I
authors.initials: PI
authors.lastname: Eke
authors.forename: Bruce
authors.initials: B
authors.lastname: Dye
mesh_terms: D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D001294:Attitude to Health; D012534:Dental Scaling / Q000706:statistics & numerical data; D004522:Educational Status; D004955:Esthetics, Dental; D005260:Female; D005544:Forecasting; D005882:Gingival Diseases / Q000453:epidemiology; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D009067:Mouthwashes / Q000627:therapeutic use; D009909:Oral Health; D010518:Periodontitis / Q000453:epidemiology*; D010865:Pilot Projects; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D012307:Risk Factors; D016745:Root Planing / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology; D014086:Tooth Mobility / Q000453:epidemiology; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data
chemical_list: D009067:Mouthwashes