Eduardo Montero1, Martina La Rosa1, Eduard Montanya2,3,4, Alfonso L Calle-Pascual5,6, Robert J Genco7, Mariano Sanz1, David Herrera1. 1. ETEP (Etiology and Therapy of Periodontal Diseases) Research Group, University Complutense, Madrid, Spain. 2. Bellvitge Hospital-IDIBELL, Barcelona, Spain. 3. Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain. 4. Department of Clinical Sciences, University of Barcelona, Barcelona, Spain. 5. Medical School. University Complutense, Madrid, Spain. 6. Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Madrid, Spain. 7. Center for Microbiome Research, University at Buffalo, NY, USA.
Abstract
BACKGROUND AND OBJECTIVE: Use of self-reported questionnaires in Dentistry may be useful to estimate the prevalence of periodontitis in epidemiological studies. This study aims to assess the accuracy of self-reporting for predicting the prevalence of periodontitis in a Spanish population participating in a diabetes incidence study. MATERIALS AND METHODS: Data were collected from 231 patients participating in the Di@bet.es study. Eight questions about periodontal health were included in a health patient-reported questionnaire. The outcomes from self-reporting were validated against a full-mouth periodontal examination. Multivariable logistic regression predictive modeling was used to determine the sensitivity, specificity, and area under the receiver operator characteristic curve (AUROCC). RESULTS: Self-reported gum health, loose teeth, tooth appearance, and use of dental floss were associated with different definitions of severe periodontitis. Correlations between responses to the questions were weak. The question "Do you think you might have gum disease?" combined with demographic and well-established risk factors resulted in an AUC value of 0.75, sensitivity of 75.2%, and specificity of 60.6% for severe periodontitis. The answer to 4 questions combined with age, educational level, smoking status, and tooth loss was 76.4% sensitive and 63.5% specific, with an AUC of 0.75 in predicting prevalence of ≥25% of teeth with probing pocket depth (PPD) ≥6 mm. CONCLUSION: Predictive models, combining self-reporting on oral health status with demographic and risk factors, were useful for estimating the prevalence of severe periodontitis in the Spanish population.
BACKGROUND AND OBJECTIVE: Use of self-reported questionnaires in Dentistry may be useful to estimate the prevalence of periodontitis in epidemiological studies. This study aims to assess the accuracy of self-reporting for predicting the prevalence of periodontitis in a Spanish population participating in a diabetes incidence study. MATERIALS AND METHODS: Data were collected from 231 patients participating in the Di@bet.es study. Eight questions about periodontal health were included in a health patient-reported questionnaire. The outcomes from self-reporting were validated against a full-mouth periodontal examination. Multivariable logistic regression predictive modeling was used to determine the sensitivity, specificity, and area under the receiver operator characteristic curve (AUROCC). RESULTS: Self-reported gum health, loose teeth, tooth appearance, and use of dental floss were associated with different definitions of severe periodontitis. Correlations between responses to the questions were weak. The question "Do you think you might have gum disease?" combined with demographic and well-established risk factors resulted in an AUC value of 0.75, sensitivity of 75.2%, and specificity of 60.6% for severe periodontitis. The answer to 4 questions combined with age, educational level, smoking status, and tooth loss was 76.4% sensitive and 63.5% specific, with an AUC of 0.75 in predicting prevalence of ≥25% of teeth with probing pocket depth (PPD) ≥6 mm. CONCLUSION: Predictive models, combining self-reporting on oral health status with demographic and risk factors, were useful for estimating the prevalence of severe periodontitis in the Spanish population.
Authors: José João Mendes; João Viana; Filipe Cruz; Lisetty Garrido; Iolanda Jessen; Joana Rodrigues; Luís Proença; Ana Sintra Delgado; Vanessa Machado; João Botelho Journal: PLoS One Date: 2022-06-10 Impact factor: 3.752
Authors: Diego Gómez-Costa; Jesús San-Roman-Montero; Rosa Rojo; Ángel Gil; Rafael Gómez de Diego; Antonio F López-Sánchez Journal: BMC Oral Health Date: 2021-04-28 Impact factor: 2.757