SRHET was collected through the BLSA questionnaire in 247 participants. Data on ET and AP were determined from panoramic radiographs. The total number of ET, AP, and missing teeth were recorded for each individual. The validity of SRHET was determined based on ET and AP separately. Accuracy, efficiency, sensitivity, specificity, positive and negative predictive values (+PV and −PV), and positive and negative likelihood ratios (+LR and −LR) were calculated according to standard methods.
After exclusions, 229 participants were available for ET analysis and 129 for AP analysis. The SRHET validity values were sensitivity (ET = 0.915, AP = 0.782), specificity (ET = 0.891, AP = 0.689), +PV (ET = 0.824, AP = 0.353), −PV (ET = 0.949, AP = 0.936), +LR (ET = 8.394, AP = 2.514), and −LR (ET = 0.095, AP = 0.316).
SRHET was found to be a highly accurate method to predict ET but a weak predictor of the presence of AP among participants in the BLSA.