Evaluation of self-reported measures for prediction of periodontitis in a sample of Brazilians

Validity of individual self-report oral health measures in assessing periodontitis for causal research applications

BACKGROUND

Self-reported measures of periodontitis developed for use in population surveillance are increasingly used in causal research. Numerous studies evaluate the validity of these measures against clinical parameters of periodontitis, yet few include validation parameters outside of multivariable models. Individual item validity is necessary to adequately inform use of these measures in causal research.

METHODS

We used data from the National Health and Nutrition Examination Survey 2011-2014 in which dentate participants completed full-mouth periodontal examinations (N = 6966). We evaluated six self-report questionnaire items related to periodontal disease status against periodontitis case definitions developed by the Centers for Disease Control and Prevention and American Academy of Periodontology (CDC-AAP). We estimated the sensitivity and specificity of individual items using severe and moderate-to-severe periodontitis classifications. We additionally combined items to evaluate the validity of joint measures.

RESULTS

Sensitivity was highest when measures were evaluated against severe periodontitis. Self-rated oral health of fair/poor demonstrated the highest sensitivity for severe (0.60) and moderate-to-severe periodontitis (0.48). Specificity was highest when evaluated against moderate-to-severe periodontitis, with self-reported history of tooth mobility as the most specific measure (0.87 for severe disease; 0.92 for moderate-to-severe) followed by a history of bone loss (0.88 for severe; 0.91 for moderate-to-severe). Combining questions generally improved specificity at the expense of sensitivity.

CONCLUSIONS

Our findings related to item-specific validity and the associated clinical profiles facilitate needed considerations for the use of self-reported measures of periodontitis in causal research. Additionally, item-specific validity can be used to inform assessments of misclassification bias within such investigations.

Development of a nomogram for identifying periodontitis cases in Denmark

Although self-reported health outcomes are of importance, attempts to validate a clinical applicable instrument (e.g., nomogram) combining sociodemographic and self-reported information on periodontitis have yet to be performed to identify periodontitis cases. Clinical and self-reported periodontitis, along with sociodemographic data, were collected from 197 adults. Akaike information criterion models were developed to identify periodontitis, and nomograms developed based on its regression coefficients. The discriminatory capability was evaluated by receiver-operating characteristic curves. Decision curve analysis was performed. Smoking [OR 3.69 (95%CI 1.89, 7.21)], poor/fair self-rated oral health [OR 6.62 (95%CI 3.23, 13.56)], previous periodontal treatment [OR 9.47 (95%CI 4.02, 22.25)], and tooth loss [OR 4.96 (95%CI 2.47, 9.97)], determined higher probability of having "Moderate/Severe Periodontitis". Age [OR 1.08 (95%CI 1.05, 1.12)], low educational level [OR 1.65 (95%CI 1.34, 2.23)], poor/fair self-rated oral health [OR 3.57 (95%CI 1.82, 6.99)], and previous periodontal treatment [OR 6.66 (95%CI 2.83, 15.68)] determined higher probability for "Any Periodontitis". Both nomograms showed excellent discriminatory capability (AUC of 0.83 (95%CI 0.75, 0.91) and 0.81 (95% CI 0.74, 0.88), good calibration, and slight overestimation of high risk and underestimation of low risk. Hence, our nomograms could help identify periodontitis among adults in Denmark.

Type 1 Diabetes Mellitus Patients' Self-perception of Periodontal Diseases

OBJECTIVES

 The study aimed to evaluate type 1 diabetes mellitus (T1DM) patients' self-perceived periodontal health status and to identify the association between periodontal disease (PD) and DM.

MATERIALS AND METHODS

 This cross-sectional study included 113 T1DM children between 3 and 18 years old from the Universiti Teknologi MARA and the University of Malaya. Periodontal health parameters, including plaque index, gingival index, probing pocket depth, simplified basic periodontal examination, and clinical attachment loss, were recorded. Self-perceived periodontal health status was assessed with questionnaires.

STATISTICAL ANALYSIS

 Statistical analysis was performed to evaluate the sensitivity of the questionnaire and the relationship between T1DM and periodontal parameters.

RESULTS

 The median age was 11.4 years. Half of them (50.4%) were females. A total of 83.5% rated their oral condition as good, whereas 27.5% reported a history of gingival bleeding. Clinical examination revealed that 48.7% had healthy gingiva, whereas 47.8% had gingivitis. The question "Do you have bleeding when brushing, flossing, or eating food?" showed good accuracy in the evaluation of PD (p < 0.001).

CONCLUSION

 The questionnaire has a high potential to be used by medical professionals in identifying T1DM patients at risk of PD to guide nondental health care providers in making appropriate referrals to dental services.

Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

BACKGROUND

Severe periodontitis affects 26% of Thai adults and 11.2% of adults globally and is characterized by the loss of alveolar bone height. Full-mouth examination by periodontal probing is the gold standard for diagnosis but is time- and resource-intensive. A screening model to identify those at high risk of severe periodontitis would offer a targeted approach and aid in reducing the workload for dentists. While statistical modelling by a logistic regression is commonly applied, optimal performance depends on feature selections and engineering. Machine learning has been recently gaining favor given its potential discriminatory power and ability to deal with multiway interactions without the requirements of linear assumptions.

OBJECTIVE

We aim to compare the performance of screening models developed using statistical and machine learning approaches for the risk prediction of severe periodontitis.

METHODS

This study used data from the prospective Electricity Generating Authority of Thailand cohort. Dental examinations were performed for the 2008 and 2013 surveys. Oral examinations (ie, number of teeth and oral hygiene index and plaque scores), periodontal pocket depth, and gingival recession were performed by dentists. The outcome of interest was severe periodontitis diagnosed by the Centre for Disease Control-American Academy of Periodontology, defined as 2 or more interproximal sites with a clinical attachment level ≥6 mm (on different teeth) and 1 or more interproximal sites with a periodontal pocket depth ≥5 mm. Risk prediction models were developed using mixed-effects logistic regression (MELR), recurrent neural network, mixed-effects support vector machine, and mixed-effects decision tree models. A total of 21 features were considered as predictive features, including 4 demographic characteristics, 2 physical examinations, 4 underlying diseases, 1 medication, 2 risk behaviors, 2 oral features, and 6 laboratory features.

RESULTS

A total of 3883 observations from 2086 participants were split into development (n=3112, 80.1%) and validation (n=771, 19.9%) sets with prevalences of periodontitis of 34.4% (n=1070) and 34.1% (n=263), respectively. The final MELR model contained 6 features (gender, education, smoking, diabetes mellitus, number of teeth, and plaque score) with an area under the curve (AUC) of 0.983 (95% CI 0.977-0.989) and positive likelihood ratio (LR+) of 11.9 (95% CI 8.8-16.3). Machine learning yielded lower performance than the MELR model, with AUC (95% CI) and LR+ (95% CI) values of 0.712 (0.669-0.754) and 2.1 (1.8-2.6), respectively, for the recurrent neural network model; 0.698 (0.681-0.734) and 2.1 (1.7-2.6), respectively, for the mixed-effects support vector machine model; and 0.662 (0.621-0.702) and 2.4 (1.9-3.0), respectively, for the mixed-effects decision tree model.

CONCLUSIONS

The MELR model might be more useful than machine learning for large-scale screening to identify those at high risk of severe periodontitis for periodontal evaluation. External validation using data from other centers is required to evaluate the generalizability of the model.

Relationship between the Social Development Index and Self-Reported Periodontal Conditions

Inequalities in oral health are influenced by the social strata of the population. Few studies have focused on the multitude of factors related to social development as indicators of living conditions and periodontal health status. The aim of this study is to evaluate the association between self-reported periodontal conditions and the Social Development Index (SDI). A cross-sectional validated questionnaire was carried out among 1294 Mexican adults. Descriptive statistics and multivariate logistic regression models were used to identify the best predictors of self-reported periodontal conditions. Bone loss reporting was used as a proxy for the presence of periodontal disease. We found that higher global scores on the SDI and quality and available space in the home (QASH) increase the probability of having bone loss. Global SDI (OR = 7.27) and higher QASH (OR = 3.66) were indeed the leading societal factors related to periodontal disease. These results have pointed out how SDI and its indicators, in particular QASH, can be used to further explore inequities related to privileged access to dental care in the context of periodontal diseases.

Validity of Simple Self-Reported Periodontal Status Questions

OBJECTIVE

The aim of this research was to evaluate the validity of the questions developed by Thai periodontists on self-reported periodontal status and symptoms in identifying severe periodontitis amongst adults in Thailand.

METHODS

Registered Electricity Generating Authority of Thailand (EGAT) employees completed medical examinations and full-mouth periodontal examinations. They also were interviewed using a self-reported questionnaire that was developed by Thai periodontists. The questions pertained to their periodontal status and symptoms comprising swollen gums, bad breath, loose teeth, bleeding on brushing, painful gums, and pus or abscesses. The participants were categorised as having nonsevere and severe periodontitis according to the Centers for Disease Control and Prevention in partnership with the American Academy of Periodontology (CDC/AAP) case definitions. Self-reported periodontal status and symptom results were compared with actual periodontal status. The area under the receiver operating characteristic curve (AUROCC), sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated.

RESULTS

A total of 1393 EGAT employees participated in this study. The questions on self-reported periodontal status and all symptoms poorly identified patients with severe periodontitis, with an AUROCC of 0.52 to 0.60. The sensitivity was 5.0% to 40.2%; however, the specificity was good, at 73.2% to 99.1%. The validity of the self-reported questions was comparable amongst the sex, education, and income subgroups.

CONCLUSIONS

This study demonstrated that self-reported periodontal status and symptoms were inadequate in identifying patients with severe periodontal disease.

Periodontal Disease in the Brazilian Population: A Retrospective Analysis on the 2013 National Health Survey to Identifying Risk Profiles

Periodontal disease (PD) is a global public health problem with prevalence varying according to social and economic contexts; however, few studies have investigated the distribution of PD worldwide. PD is the host response to an infection or progression of a clinical condition, and the identification of modifiable risk factors for adequate clinical management of patients should be a priority in health policies directed to vulnerable population groups. In this context, we investigated the characteristics and risk factors for PD using the Brazilian National Health Survey 2013 (PNS-2013). A cluster analysis using the interdependence technique was applied to explore data on the risk of periodontitis. The presence or absence of a risk factor was analyzed using five variables (ten categories), while ordinal regression assessed risk profiles based on sociodemographic aspects of the Brazilian population. Individuals were classified as low (26.33%), medium (23.34%), or high risk (50.32%) for PD. Age, educational level, ethnicity, and Brazilian regions (except the North region) were significantly associated with risk for PD in the adjusted final regression model. Individual and social contexts were factors related to the high risk of PD in the Brazilian population. Our results highlight the need for public policies on healthy habits to prevent systemic diseases affecting oral health.

Self-Reported Measures of Periodontitis in a Portuguese Population: A Validation Study

Self-reported questionnaires have been developed and validated in multiple populations as useful tools to estimate the prevalence of periodontitis in epidemiological settings. This study aimed to explore the accuracy of self-reporting for predicting the prevalence of periodontitis in a Portuguese population. The questionnaires were given to patients at a university clinic. Thirteen self-reported questions on periodontal health were gathered in a patient-reported questionnaire. Then, self-reporting responses were validated using full-mouth periodontal examination as a comparison. Multivariable logistic regression was used to analyze sensitivity, specificity, accuracy, precision, and area under the curve-receiver operator characteristic (AUC-ROC). Self-reported answers from 103 participants (58 females and 45 males) were included. Self-reported gum health, loose teeth, tooth appearance, and use of dental floss were associated with different definitions of severe periodontitis. The self-reported questions on "having gum disease," combined with "having gum treatment" and "having lost bone" were the items with higher performance for the 2018 case definition and the 2012 case definition, as well as for each respective severity staging. Categorization of tooth loss was only valuable for the prediction of periodontitis cases according to the 2012 case definition and its severe stage. Multiple self-reporting set-ups showed elevated performance levels for predicting periodontitis in Portuguese patients. These results may pave the way for future epidemiological surveillance programs using self-reporting approaches.

Who to Be Treated: Nomogram Using Self-Reported Periodontal Screening Instrument among English-Speaking Adults in Multi-Ethnic Singapore

Periodontal disease is a major public health problem. This study aimed to develop a nomogram using a self-reported periodontitis screening instrument in predicting severe periodontitis (SP), defined by the World Workshop on Classification of Periodontal and Peri-Implant Diseases and Conditions, and evaluate its utility in clinical setting. An Akaike information criterion selected multivariable model was developed to predict SP using a self-reported questionnaire, with a nomogram developed based on its regression coefficients. Discriminatory capability was evaluated by Receiver-operating characteristic curve. Ability to predict SP of individual patients was evaluated with bootstrapping. Decision curve analysis (DCA) was performed to evaluate its potential clinical utility by evaluating clinical net benefit at different thresholds. 58.1% of 155 participants were classified with SP. Older males without tertiary education, with ‘loose teeth’, ‘bone loss’ and ‘mouth rinse use’ had higher SP risk. The nomogram showed excellent discriminatory capability with Area under Curve of 0.83 (95% CI = (0.76, 0.89)), good calibration (intercept = 0.026) and slight overestimation of high risk and underestimation of low risk (slope = 0.834). DCA showed consistent clinical net benefit across the range of thresholds relative to assumption of ‘no patient’ or ‘all patient’ with SP. Our nomogram using a self-reported periodontitis instrument is useful in SP screening in English-speaking Singaporean adults.

Self-reported questionnaire on periodontal condition validated for use in Brazil

There is a current expectation of instruments for periodontal condition surveillance worldwide. The present study aimed to validate the Oral Health Questions Set B (OHQB) for the Brazilian Portuguese and evaluate its temporal stability. This is a sequential mixed-method investigation. After the forward-backward translation process to the Brazilian Portuguese, the OHQB Brazil (OHQB-Br) was applied to 156 participants (39.5 ± 14.14 years; 51.9% males). In sequence, through a full-mouth six-sites/teeth examination and in accordance with the original instrument, the periodontal diagnosis was obtained (March 2020). In January 2021, the OHB-BR was reapplied (n = 71). Ordinal alpha and McDonald's omega tested the internal consistency of the OHQB-Br. Temporal stability was investigated [Spearman correlation, intraclass correlation coefficient (ICC), and the Bland-Altman]. The concurrent validity was also verified, considering the periodontal clinical diagnosis (Kruskal Wallis). The ordinal alpha (0.69) and McDonald's omega (0.73) coefficients showed an adequate internal consistency of the OHQB-Br. The OHQB-Br temporal stability was high, as demonstrated by the Spearman coefficient (0.80) and ICC (0.79) and by the Bland-Altman plot. A concurrent validity showed a direct relationship between the OHQB-Br and the clinical condition of no periodontitis, mild, moderate, and severe periodontitis (p < 0.05). Because the OHQB-Br shows internal validity, temporal stability, and adequately identifies periodontal health and moderate/severe periodontitis, the instrument might represent an important tool, at the public level or other settings, for periodontal surveillance in Brazil.

Association between periodontitis and type 2 diabetes mellitus: study in a population attended by the Brazilian Health System

Abstract Introduction Periodontitis control helps to prevent and control diabetes mellitus and understanding of this relationship can lead to changes in health policy. Objective The purpose of this study was to investigate the association between periodontitis, knowledge, and glycemic control. Material and method This is a cross-sectional analytical epidemiological survey with 216 Type 2 diabetic patients, non-smokers, who had current blood screenings with glycated hemoglobin (HbA1c). Result Overall, 93.51% of the patients reported brushing their teeth at least twice a day, 62.5% visited the dentist last year, 81.58% have already undergone treatment for periodontal disease, 43.52% reported having periodontitis and 59.72% had controlled diabetes. No significant (p=0.603) association between HbA1c control and the presence of periodontitis was found. Among the patients with periodontitis, no association between HbA1c control and information on the periodontal disease was found (p=0.996), and know/believe in its relationship with diabetes (p=0.659; p=0.973). Conclusion No relationship between periodontitis and diabetes was found in the sample, as well as in patients with periodontitis, those with knowledge on periodontal disease and knowledge/belief in its relationship with diabetes, which could be justified by the care by a multi-professional health team.

Self-perception of periodontal health status among individuals with Fanconi anemia

INTRODUCTION

Fanconi anemia (FA) is a rare genetic disease characterized by congenital malformations and bone marrow failure. One of the most common oral diseases in individuals with FA is periodontitis and adequate self-perception of periodontal status could contribute to its prevention and early detection.

AIM

To compare oral health self-perception, measured by a questionnaire, with the clinical oral condition of patients with FA.

METHODS AND RESULTS

Fifty-six patients with FA, over 11 years of age, answered a questionnaire about dental history and self-reported oral health. Decayed, missing, and filled teeth (DMFT), Visible Plaque Index (VPI) and Gingival Bleeding Index (GBI) were measured. The median age of participants was 21 years (min 11, max 44), 31 (55%) were females and 25 (45%) males. Thirty-five (62.5%) participants rated their oral condition as satisfactory and 7 (12.5%) participants reported tooth mobility, 10 (17.9%) exposed roots and 21 (37.5%) gingival bleeding. Clinical examination detected average DMFT = 5.23, VPI = 31.36% and GBI = 33.77%. The gingival bleeding report was more frequent among individuals with higher GBI (p =  0.014). The DMFT was higher in those who had already undergone dental treatments (p =  0.031). There was an association between participants who presented dental caries and who rated their oral health as poor (p =  0.03). The question "Do your gums bleed easily?" had good accuracy in the evaluation of periodontal disease (p =  0.68).

CONCLUSION

Oral health self-perception of individuals with FA about gingival inflammation was associated with their gingival bleeding index.

Alcohol use disorders are associated with higher prevalence of periodontitis in a rural area of Brazil

OBJECTIVE

The aim of the present cross-sectional study was to determine whether alcohol use disorders (AUD) are independently associated with severe and extent cases of periodontitis in individuals living in a rural area of Brazil.

METHODS

A representative probability sample (N = 585) was evaluated using six-site full-mouth periodontal examination. AUD was assessed using the alcohol use disorders identification test (AUDIT) and considered in its unidimensional and bidimensional factor structures. The first address hazardous alcohol consumption [HAC (overall scores ≥8)], and the second deals with two distinct constructs, harmful use [HU (items 1-3 scores ≥4 for men or ≥3 for women)], and alcohol-related consequences [ARC (items 4-10 scores ≥1)]. Periodontal outcomes were defined based on the criteria proposed by the CDC-AAP (2012) and an adaptation of the EFP-AAP (2018) definition of generalized stages III or IV periodontitis (GP). Adjusted multilevel multinomial and binary logistic regression analysis were used with a conceptual hierarchical approach to calculate the odds ratios (OR) of periodontal outcomes.

RESULTS

In the adjusted model, HU (OR = 2.69; 95% CI: 1.29-5.58) and ARC (OR = 3.79; 95% CI: 1.51-9.51) were significantly associated with higher prevalence of severe periodontitis (SP). Higher occurrence of GP was detected in individuals presenting HAC (OR = 1.88; 95% CI: 1.05-3.37) and ARC (OR = 2.90; 95% CI: 1.61-5.24).

CONCLUSION

AUD was independently associated with higher prevalence of SP and GP in individuals living in a rural area.

Oral Health-Related Quality of Life in Anticoagulated Patients with Warfarin Treatment: A Cross-Sectional Study

To evaluate factors associated with oral health-related quality of life (OHRQoL) in patients under oral anticoagulant therapy with warfarin, a cross-sectional study was conducted. Validated questionnaires assessed self-reported periodontal disease, demographic variables, and OHRQoL using the short version of the Oral Health Impact Profile (OHIP-14) instrument. After calibration (Kappa > 0.60), an examiner evaluated patients' experience with dental caries and the need for dental prostheses. Statistical analysis involved proportions and measures of central tendency. Negative binomial regression models were used to estimate the rate ratios (RR) and the corresponding 95% confidence interval (CI). The sample consisted of 158 individuals, with a mean age of 58.8 years (SD = 12.1), of which 62.7% of the participants were women. The OHIP-14 mean was 10.62 (SD = 10.92). A higher OHIP-14 total score (worse OHRQoL) was associated with ethnic group, age, periodontal disease self-report, dental caries, and oral health self-report. Demographic and clinical factors can negatively influence the perception of anticoagulated patients on OHRQoL.

Development and validation of a latent, multidimensional, self-report periodontal disease measure

BACKGROUND

Self-report measures of periodontal disease have utility for screening, but have not capitalized on a latent variable approach based on psychometric theory to validate such measures. This study aimed to develop a psychometrically valid self-report measure of periodontal disease using latent variable factor analysis and other evidence-based psychometric analyses.

METHODS

Likert-type items reflecting periodontal disease were administered to a sample of adults (n = 828) in the United States via an online survey. Items were adapted from prior self-report measures or were newly developed based on psychometric item development theory and theoretical knowledge of periodontal disease. Psychometric analyses included exploratory and confirmatory factor analysis, parallel analysis, and a calculation of internal consistency.

RESULTS

Exploratory factor analysis (EFA) was indicative of the goodness-of-fit with two factors (root mean square error of approximation (RMSEA) = 0.08; comparative fit index (CFI) = 0.97; Tucker Lewis index (TLI) = 0.96; standardized root mean squared residual = 0.06); five of the 22 original survey questions were eliminated based on the results of this EFA. Parallel analysis supported a two-factor model to represent the similarities across items-one factor reflecting physiologic components and another reflecting functional components of periodontal disease. Confirmatory Factor Analysis also indicated adequate model fit (RMSEA = 0.07; CFI = 0.98; TLI = 0.98; and weighted root mean square residual = 1.20).

CONCLUSIONS

Psychometric analyses of a new 17-item periodontal disease self-report measure provided initial evidence of construct/factor validity. This approach to developing self-report periodontal disease measures may facilitate useful and cost-effective estimates of periodontal disease and provide a testable scale. Future work should include clinical validation.

Accuracy of a 7-Item Patient-Reported Stand-Alone Tool for Periodontitis Screening

Periodontitis is interrelated with various other chronic diseases. Recent evidence suggests that treatment of periodontitis improves glycemic control in diabetes patients and reduces the costs of diabetes treatment. So far, however, screening for periodontitis in non-dental settings has been complicated by a lack of easily applicable and reliable screening tools which can be applied by non-dental professionals. The purpose of this study was to assess the diagnostic accuracy of a short seven-item tool developed by the German Society for Periodontology (DG PARO) to screen for periodontitis by means of patient-reported information. A total of 88 adult patients filled in the patient-reported Periodontitis Risk Score (pPRS; range: 0 points = lowest periodontitis risk; 20 points = very high periodontitis risk) questionnaire before dental check-up at Heidelberg University Hospital. Subsequent clinical assessments according to Periodontal Screening and Recording (PSR®) were compared with pPRS scores. The diagnostic accuracy of pPRS at different cutoff values was assessed according to sensitivity, specificity, positive, and negative predictive values, as well as Receiver-Operator-Characteristic curves, Area Under the Curve (AUC), and logistic regression analysis. According to combined specificity and sensitivity (AUC = 0.86; 95%-CI: 0.76-0.95), the diagnostic accuracy of the pPRS for detecting periodontal inflammation (PSR® ≥ 3) was highest for a pPRS cutoff distinguishing between pPRS scores < 7 vs. ≥ 7. Patients with pPRS scores ≥ 7 had a 36.09 (95%-CI: 9.82-132.61) times higher chance of having a PSR® ≥ 3 than patients with scores < 7. In conclusion, the pPRS may be considered an appropriately accurate stand-alone tool for the screening for periodontitis.

Public Health Aspects of Periodontitis: Recent Advances and Contributions by Dr. Robert J. Genco

Purpose of review

This review provides an overview of the objectives, activities and accomplishments of the CDC-AAP collaboration on public health aspects of periodontitis focusing mostly on surveillance. Dr. Robert Genco was co-chair of this effort.

Recent findings

This initiative developed new standard periodontitis case definitions for surveillance and implemented for the first time a full-mouth periodontal examination protocol for NHANES 2009 -2014. Measurements from this survey resulted in significantly greater estimate for the national prevalence of periodontitis in US adults and our understanding of population risk factors associations with periodontitis. Notably, this initiative also developed, and validated field-testing a battery of eight questions for multivariable modeling of self-report measures for predicting periodontitis in populations.

Summary

This Initiative resulted in significant improvements of surveillance of periodontitis and produced unique findings with important implications for advancing our understanding of population aspects of periodontitis in US adults at the national, state, and local levels.

Self-reported and clinical periodontal conditions in a group of Eastern European postpartum women

Periodontitis is a highly prevalent condition leading to a continuous destruction of tooth-supporting tissues. It increases the risk for various systemic diseases and adverse pregnancy outcomes. Therefore, screening for periodontitis is important. Screening measures can range from self-reported symptoms to clinical full-mouth periodontal examination. The hypothesis of our study was that self-reported parameters and clinical definition perform equally well in identifying periodontitis patients. The aim of this study was to develop, validate its internal consistency, and evaluate a self-reported instrument against periodontal clinical evaluation for diagnosis of periodontitis in a group of postpartum women, as well as to describe their periodontal status and the risk factors associated with periodontal disease. A cross-sectional study on postpartum women was conducted in a tertiary university hospital, from April 2018 to March 2019. Sociodemographic and behavioral data, periodontal clinical parameters, and self-reported periodontal perception were collected. A 16-item questionnaire was developed to obtain information about perceived periodontal alterations and oral hygiene habits. The utility of the questionnaire was tested against a periodontal diagnosis based on a full-mouth periodontal examination. The questionnaire was applied in 215 postpartum women aged 29.16±5.54 years (mean age (y) ± standard deviation) having the following periodontal status: 16 individuals without periodontal disease (7.44%), 32 individuals with gingivitis (14.88%), 19 individuals with mild periodontitis (8.84%), 132 individuals with moderate periodontitis (61.39%), and 16 individuals with severe periodontitis (7.44%). A significant association was observed between oral hygiene score, smoking status, and periodontal conditions (p<0.05). A significant association between the self-reported items related to “gum swelling”, “halitosis”, “previous periodontal diagnosis” and “previous periodontal treatment” with clinical periodontitis have been identified (p<0.05). Using self-reported questionnaires for detection of periodontal disease was ineffective in our studied population, since self-reported parameters and clinical definition do not appear to perform equally in identifying periodontitis cases. Clinical periodontal examination remains the gold standard for screening. Periodontitis was frequent in our group and the severity was significantly associated with the oral hygiene score and smoking. These results underline the necessity for periodontal clinical examination during pregnancy.

Validity of Self-Reported Periodontitis in Japanese Adults: The Japan Public Health Center-Based Prospective Study for the Next-Generation Oral Health Study

This study evaluated the validity of self-reported periodontitis measures among 2404 Japanese adults aged 40 to 75 years. A self-administered questionnaire survey and a clinical periodontal examination were conducted from 2013 through 2016. The self-reported periodontitis questions included 3 sociodemographic, 3 health, and 5 periodontal health-related items. Based on the clinical case definition of periodontitis, 26.5% of participants were found to be periodontally healthy, 2.7% had mild periodontitis, 55.2% moderate periodontitis, and 15.6% severe periodontitis. No single self-reported question demonstrated satisfactory validity in predicting the presence or absence of periodontitis. The predictive ability in mild and/or moderate periodontitis was poor even after combining multiple sociodemographic, health, and periodontal health-related questions. In severe periodontitis, the model including age, sex, education level, smoking status, diabetes history, body mass index, informed by a dentist, gingival bleeding, calculus deposit, and tooth mobility, presented moderate predictive performance (C-statistic: 0.676, sensitivity: 65.2%, and specificity: 61.1%). An age-stratified analysis on severe periodontitis showed that sensitivity was higher, and specificity was lower in older age group (60-75 years) than younger age group (40-59 years). Further refinement of questions in the self-report is required to increase the accuracy of the prediction of clinical periodontitis.

Gingival inflammation influences oral health-related quality of life in individuals living in a rural area of southern Brazil

AIM

The aim of the present cross-sectional study was to evaluate whether the extent levels of gingival inflammation (GI) in whole mouth or restricted to the anterior region are independently associated with oral health-related quality of life (OHRQoL) in individuals living in a rural area of southern Brazil.

MATERIALS AND METHODS

A probability sample of 688 individuals was submitted to a full-mouth periodontal examination at six sites on each tooth. Extent levels of GI in whole mouth and restricted to anterior region were dichotomously considered when bleeding on probing (BoP) occurred at 20% or more of whole-mouth sites and at 10% or more of anterior region sites, respectively, in individuals with probing depths ≤3 mm, totalling 121 individuals analysed, aged 15-82 years. OHRQoL was assessed using the simplified version of the Oral Health Impact Profile (OHIP₁₄ ) questionnaire. Adjusted multilevel Poisson regression analysis was used with a conceptual hierarchical approach to calculate the rate ratio (RR) of OHIP₁₄ scores.

RESULTS

In the adjusted model, higher extent levels of full-mouth GI (RR = 1.23; 95% confidence interval [CI]: 1.06-1.44; p = .004) and GI restricted to the anterior region (RR = 1.29; 95% CI: 1.11-1.51; p ≤ .001) were significantly associated with poorer OHRQoL.

CONCLUSIONS

The extent of GI in whole mouth (≥20% of sites with BoP) and in the anterior region (≥10% of sites with BoP) was independently associated with OHRQoL in individuals living in a rural area.

Self-Perception of Periodontal Health and Associated Factors: A Cross-Sectional Population-Based Study

The aim of this cross-sectional study was to explore sociodemographic, behavioral, and clinical factors associated with self-awareness of periodontal health. Data were collected from a representative sample of 736 adults (25–75 years old) in a city of Northern Italy who self-assessed gingival bleeding, oral malodor, and tooth mobility in a questionnaire and who underwent clinical periodontal examination and organoleptic evaluation. Approximately 50% of the subjects were aware of their actual gingival health status and oral odor. The logistic regression analysis revealed that females presented higher odds of correctly perceiving their gingival conditions and mouth odor, while those who were older and smokers had a greater probability of being less objective in reporting them. Tooth type and position in the dental arches were positively associated with self-perception of tooth mobility. These findings reflected a low level of self-awareness that may influence oral care-seeking behavior. Subjects may be unconcerned about their periodontal health condition or lack enough knowledge to be aware of it. This points to the need for planning strategies to improve education and knowledge about periodontal health, which, by enhancing self-perception of periodontal symptoms, could help everyone to seek treatment in the initial stage of the disease.

Recent epidemiologic trends in periodontitis in the USA

The most important development in the epidemiology of periodontitis in the USA during the last decade is the result of improvements in survey methodologies and statistical modeling of periodontitis in adults. Most of these advancements have occurred as the direct outcome of work by the joint initiative known as the Periodontal Disease Surveillance Project by the Centers for Disease Control and Prevention and the American Academy of Periodontology that was established in 2006. This report summarizes some of the key findings of this important initiative and its impact on our knowledge of the epidemiology of periodontitis in US adults. This initiative first suggested new periodontitis case definitions for surveillance in 2007 and revised them slightly in 2012. This classification is now regarded as the global standard for periodontitis surveillance and is used worldwide. First, application of such a standard in reporting finally enables results from different researchers in different countries to be meaningfully compared. Second, this initiative tackled the concern that prior national surveys, which used partial-mouth periodontal examination protocols, grossly underestimated the prevalence of periodontitis of potentially more than 50%. Consequently, because previous national surveys significantly underestimated the true prevalence of periodontitis, it is not possible to extrapolate any trend in periodontitis prevalence in the USA over time. Any difference calculated may not represent any actual change in periodontitis prevalence, but rather is a consequence of using different periodontal examination protocols. Finally, the initiative addressed the gap in the need for state and local data on periodontitis prevalence. Through the direct efforts of the Centers for Disease Control and Prevention and the American Academy of Periodontology initiative, full-mouth periodontal probing at six sites around all nonthird molar teeth was included in the 6 years of National Health and Nutrition Examination Surveys from 2009-2014, yielding complete data for 10 683 dentate community-dwelling US adults aged 30 to 79 years. Applying the 2012 periodontitis case definitions to the 2009-2014 National Health and Nutrition Examination Surveys data, the periodontitis prevalence turned out to be much greater than previously estimated, namely affecting 42.2% of the population with 7.8% of people experiencing severe periodontitis. It was also discovered that only the moderate type of periodontitis is driving the increase in periodontitis prevalence with age, not the mild or the severe types whose prevalence do not increase consistently with age, but remain ~ 10%-15% in all age groups of 40 years and older. The greatest risk for having periodontitis of any type was seen in older people, in males, in minority race/ethnic groups, in poorer and less educated groups, and especially in cigarette smokers. The Centers for Disease Control and Prevention and the American Academy of Periodontology initiative reported, for the first time, the periodontitis prevalence estimated at both local and state levels, in addition to the national level. Also, this initiative developed and validated in field studies a set of eight items for self-reported periodontitis for use in direct survey estimates of periodontitis prevalence in existing state-based surveys. These items were also included in the 2009-2014 National Health and Nutrition Examination Surveys for validation against clinically determined cases of periodontitis. Another novel result of this initiative is that, for the first time, the geographic distribution of practicing periodontists in relation to the geographic distribution of people with severe periodontitis is illustrated. In summary, the precise periodontitis prevalence and distribution among subgroups in the dentate US noninstitutionalized population aged 30-79 years is better understood because of application of valid periodontitis case definitions to full-mouth periodontal examination, in combination with reliable information on demographic and health-related measures. We now can monitor the trend of periodontitis prevalence over time as well as guide public health preventive and intervention initiatives for the betterment of the health of the adult US population.

Validation of self-reported periodontal disease status among subjects seeking dental treatment in a dental school

Introduction:

Periodontal disease and its relation with quality of life have made it necessary to know in detail regarding the disease. Hence, the aim of this study was to check the validity of self-reported periodontal status with clinical findings among subjects attending a dental teaching institution.

Materials and Methods:

A cross-sectional study was conducted on subjects with periodontitis attending a dental teaching institution. A questionnaire was developed after reviewing the relevant literature and participants were asked to complete the questionnaire. Information about signs and symptoms of periodontal disease was included, and subjects were examined for periodontal disease. Data were recorded and analyzed for sensitivity and specificity.

Result:

A total of 103 subjects answered the study questionnaire and underwent clinical examination. The sensitivity of question varied from 16.6% with need of periodontal or gum treatment to 57.1% in case of gingival swelling. In many questions, more than 90% of specificity was found. There was a difference in self-assessed periodontal status with clinically examined periodontal status.

Conclusion:

Self-assessed questionnaires were of low value in evaluating oral periodontal disease status. Periodontal perception of subjects was higher but does not reflect with clinical findings; this calls for educational programs to be conducted to improve knowledge and awareness about periodontal diseases.

Self-reported halitosis in a sample of Brazilians: Prevalence, associated risk predictors and accuracy estimates with clinical diagnosis

AIMS

To evaluate the prevalence of self-reported halitosis and its predictors, and to determine the accuracy estimates of self-reported measures with clinical evaluation of halitosis.

MATERIALS AND METHODS

This cross-sectional study comprised 5,420 individuals (teaching staff, administrative personnel and ongoing students from Federal University of Minas Gerais), who answered a structured questionnaire containing sociodemographic, medical and dental data, and self-reported halitosis measures. A subsample (n = 159) underwent halitosis assessment through the organoleptic method. Predictors for self-reported halitosis were determined through univariate and multivariate analyses. Accuracy estimates of self-reported measures were evaluated in this subsample.

RESULTS

Prevalence of self-reported halitosis varied from approximately 4%-35%, depending on the self-reported measure. Self-reported halitosis was mainly associated with socio-economic variables (age, gender, educational level), parameters of oral health (gingival bleeding, gingival infections, tongue coating, general oral health evaluation) and impacts on daily activities (family/social environment and intimate relations). Specificity values for self-reported halitosis measures were determined to be high for clinical (organoleptic score ≥2) and strong (organoleptic score ≥4) halitosis. Combinations of self-reported measures retrieved useful accuracy estimates for strong halitosis.

CONCLUSION

Prevalence rates of self-reported halitosis may be considered moderate. Accuracy diagnostic estimates were determined to be useful, with good prediction for non-diseased individuals.

Validity of self-reported periodontal measures, demographic characteristics, and systemic medical conditions

BACKGROUND

The objective of the present study was to assess self-reported periodontal screening questions, demographic characteristics, systemic medical conditions, and tobacco use for predicting periodontal disease among individuals seeking dental therapy in a university dental clinic.

METHODS

In this retrospective study, a total of 4,890 randomly selected dental charts were evaluated from among patients who had attended the University of Minnesota School of Dentistry clinics for treatment. Radiographic bone loss measurements were used to assess the severity of periodontal disease. Demographic characteristics as well as medical history of the patients were also recorded. Five self-reported periodontal screening questions were included, with answers limited to Yes/No. Generalized logit models were used to assess the association between bone loss and the predictors.

RESULTS

The sample's mean age was 54.1 years and included 52.6% males and 14.9% smokers, with a mean of 3.5 missing teeth. Self-reported tooth mobility, history of "gum treatment," and the importance of retaining teeth as well as age, tobacco use, and cancer were statistically significant predictors (P < 0.05) of a radiographic diagnosis of moderate and severe periodontal disease. With respect to severe periodontal disease, significant associations (P < 0.05) were also found with "bleeding while brushing," gender, diabetes, anxiety, and arthritis.

CONCLUSIONS

Self-reported periodontal screening questions as well as demographic characteristics, smoking, and systemic medical conditions were significant predictors of periodontal disease, and they could be used as valid, economic, and practical measures.

Sampling strategy of an epidemiological survey using a satellite image program

OBJECTIVE

To describe the sampling strategy of an epidemiological survey with the aid of satellite images, including details of the multistage probability sampling process.

METHODS

A probability sample of individuals living in the rural area of Rosário do Sul, state of Rio Grande do Sul, Brazil, aged 15 years old or more, was evaluated. Participants answered questionnaires (medical history, sociodemographic characteristics, habits, alcohol use, quality of life, stress, rumination, and self-perceived periodontal diseases), and were subjected to clinical oral examinations as well as anthropometric measurements (blood pressure, height, weight, abdominal and waist circumferences). Oral evaluation comprehended a complete periodontal exam at six sites per tooth, including the following assessments: furcation involvement; dental abrasion; tooth decay, including the indexing of missing and filled surfaces; O'Brien index; gingival abrasion; oral cavity and lip lesions; complete periapical radiographic exam, and use of prostheses. Besides this oral clinical approach, subgingival plaque, crevicular gingival fluid, saliva, and blood samples were collected. Examiners were trained and calibrated during previous evaluations. A pilot study allowed the logistic of the performed exams to be adjusted as needed.

RESULTS

Among 1,087 eligible individuals, 688 were examined (63.3%). Age, sex, and skin color data were compared to data from the last demographic census (2010) of the Brazilian Institute of Geography and Statistics, which served to validate the sampling strategy.

CONCLUSIONS

The careful methods used in this study, in which satellite images were used in the delimitation of epidemiological areas, ensure the quality of the estimates obtained and allow for these estimates to be used in oral health surveillance and health policies improvements.

Impact of cigarette smoking and vaping on the outcome of full-mouth ultrasonic scaling among patients with gingival inflammation: a prospective study

OBJECTIVES

There are no studies that have assessed the oral soft tissue response to full-mouth ultrasonic scaling (FMUS) among cigarette-smokers (CS) (group 1), individuals vaping electronic-cigarettes (E-cigs) (group 2), and never-smokers (NS) (group 3). The aim was to assess the impact of cigarette smoking and vaping on periodontal tissues following FMUS.

MATERIALS AND METHODS

In a clinical prospective study, 89 male individuals were divided into three groups: CS (group 1), E-cig users (group 2), and NS (group 3). A questionnaire was used to gather demographic data and information regarding duration and daily frequency of CS and vaping. Full-mouth plaque index (PI), bleeding on probing (BOP), clinical attachment loss (AL), and probing depth (PD) were measured at baseline and 3 and 6 months after FMUS (without root surface debridement). Numbers of missing teeth (MT) were also recorded.

RESULTS

In groups 1, 2, and 3, 30, 28, and 31 individuals, respectively were included. In group 1, there was no statistically significant difference in mean PI and PD and numbers of sites with PD ≥ 4 mm at 6 months' follow-up compared with baseline and 3 months' follow-up. In groups 2 and 3, there was no significant difference in PI, BOP, and PD at 3 months' (P > 0.05) and 6-months' (P > 0.05) follow-up. There were no pockets with PD ≥ 4 mm at 3 and 6 months' follow-up in groups 2 and 3. There was no difference in the numbers of MT and none of the individuals exhibited clinical AL in all groups.

CONCLUSION

Following FMUS, gingival inflammation is worse in CS compared with individuals vaping E-cigs and NS.

CLINICAL RELEVANCE

Periodontal inflammatory parameters are worse in cigarette-smokers than individuals vaping electronic cigarettes and never-smokers following FMUS. However, these findings should be interpreted with extreme caution as a number of factors may have influenced the present results.

Self-perceived oral symptoms and periodontal inflammatory conditions in habitual naswar dippers

Objectives:

To compare self-perceived oral symptoms and clinical (plaque index [PI], bleeding on probing [BOP], clinical attachment loss [CAL]) and radiographic (marginal bone loss [MBL]) periodontal parameters among naswar (NW) and non-naswar dippers (NNW).

Methods:

One hundred and forty-two individuals (72 patients consuming naswar and 70 controls) were included. All participants completed a baseline questionnaire that included information regarding demographic characteristics and self-perceived oral symptoms. Clinical periodontal parameters (PI, BOP, PD and CAL) were recorded. MBL was measured on digital panoramic radiographs.

Results:

Pain in teeth, pain on chewing, bleeding gums and burning sensation in the mouth was significantly worse among NW than NNW (p<0.01). Clinical periodontal parameters and MBL were significantly high in NW than NNW (p<0.001). There was statistically significant influence of daily use and mean duration of naswar consumption on the severity of PI, BOP, PD (4 to 6 and >6 mm) and MBL among NW group.

Conclusions:

Self-perceived oral symptoms and periodontal parameters were worse among naswar dippers. It is highly recommended that naswar dipping should be considered a potential threat that could have major effects on periodontal tissues.

Development of a self-report questionnaire designed for population-based surveillance of gingivitis in adolescents: assessment of content validity and reliability

The major infectious diseases in Chile encompass the periodontal diseases, with a combined prevalence that rises up to 90% of the population. Thus, the population-based surveillance of periodontal diseases plays a central role for assessing their prevalence and for planning, implementing, and evaluating preventive and control programs. Self-report questionnaires have been proposed for the surveillance of periodontal diseases in adult populations world-wide.

A Clinical Validation of Self-Reported Periodontitis Among Participants in the Black Women's Health Study

BACKGROUND

There is a paucity of data on the validity of self-report of periodontal disease in African Americans. The Black Women's Health Study (BWHS), a United States national cohort study of 59,000 black women followed via mailed questionnaires since 1995, offered the opportunity to clinically validate self-reported periodontitis among a sample of participants.

METHODS

Oral health questionnaires were sent to study participants residing in Massachusetts. Respondents living in the Boston metro area were invited for clinical examination. Self-reports were compared with clinical data obtained from the 77 women (mean age: 59 years) who were examined. The authors examined the predictive ability of individual and combined questionnaire items with respect to clinical periodontal disease severity. Validation parameters were calculated for each question, and receiver operating characteristic statistics were generated to compare questionnaire items.

RESULTS

Periodontitis prevalence in the validation sample was 24% for severe periodontitis and 61% for moderate disease. Performance of individual questionnaire items with respect to predicting periodontitis was better for severe compared with moderate disease. Combinations of questionnaire items improved the predictive ability with respect to severe disease beyond that of individual questionnaire items.

CONCLUSIONS

Prevalence of severe periodontitis was similar to other age-comparable populations, without regard for race or sex, whereas prevalence of total periodontitis (moderate and severe) among women of similar age and/or race was much higher. Predictive ability of questionnaire items assessed in the BWHS was similar to that in other studies.

Sense of coherence and periodontal health outcomes

OBJECTIVE

Sense of Coherence (SOC) has been associated with perceived oral health measures, but the contribution of SOC to clinical measures is still unclear. The aim of the present cross-sectional study was to evaluate the potential association between periodontal health outcomes, such as periodontal clinical parameters and perceived periodontal health, and SOC.

MATERIALS AND METHODS

The study sample comprised 276 individuals, aged 18-60 years, from Belo Horizonte, Brazil. Participants answered questionnaires covering sociodemographic variables, self-perceived periodontal health and SOC. Full-mouth periodontal examinations were performed. The sample was divided into three groups according to SOC score: (a) SOC1 = weak (24-46); (b) SOC2 = moderate (47-51); (c) SOC3 = strong (52-65). Multivariate analyses including appropriate logistic or linear regression models were performed to evaluate the association between periodontal health outcomes and biological, sociodemographic and behavioural variables.

RESULTS

Perceived general oral health was associated with family income bracket (p = 0.010), smoking (p = 0.004), dental flossing (p = 0.017) and SOC (weak SOC: p = 0.005). Perceived gum disease and perceived periodontal disease were associated with SOC (weak SOC: p = 0.001 and p = 0.015, respectively).

CONCLUSIONS

Overall, perceived periodontal health outcomes were associated with SOC. However, no association between clinical periodontal health outcomes and SOC were observed.

A new screening method for periodontitis: an alternative to the community periodontal index

Background

Periodontal screening plays an important role in the prevention of periodontal disease and promotes an improvement in oral health-related quality of life. The World Health Organization’s Community Periodontal Index should be carried out by well-trained dentists. However, the Community Periodontal Index is an invasive technique, and if used for periodontal screening, increases the cost of evaluation. In order to overcome these issues, we developed saliva tests for periodontal screening. The purpose of this study was to calculate the sensitivity and specificity of our method for measuring hemoglobin and lactate dehydrogenase levels in saliva.

Methods

Inclusion criteria were adults aged over 20 years with at least 20 teeth remaining. The study population comprised 38 men and 54 women with a mean age of 50.03 years. Oral examinations were carried out by dentists, and the number of remaining teeth, presence or absence of calculus, bleeding on probing and pocket depth were recorded. In this study, periodontitis was defined according to the criteria of the Center for Disease Control and Prevention in partnership with the American Academy of Periodontology. In order to examine hemoglobin and lactate dehydrogenase levels in saliva, participants were instructed to chew on a standard-sized tasteless and odorless gum base for 5 min, during which time, stimulated whole saliva was continuously collected.

Results

The sensitivity and specificity for hemoglobin levels were 0.759 and 0.763, respectively, and 0.722 and 0.711, respectively, for lactate dehydrogenase levels. Combining these two tests, when samples tested positive for both hemoglobin and lactate dehydrogenase, the positive predictive value was 91.7 %.

Conclusion

Measuring hemoglobin and lactate dehydrogenase levels in saliva is a less invasive method than the Community Periodontal Index. Therefore, our saliva tests may be a viable alternative to the Community Periodontal Index for periodontal screening.

Self-report of gingival problems and periodontitis in indigenous and non-indigenous populations in Chiapas, Mexico

OBJECTIVE

To estimate the prevalence of self-reported gingival and periodontal conditions and their association with smoking, oral hygiene, indigenous origin, diabetes and location (urban or rural) in indigenous and non-indigenous adults in Chiapas, Mexico.

METHODS

A cross-sectional study of 1,749 persons, ≥20 years of age, living in four rural and four urban marginal localities in Comitán (Chiapas, México). The variables investigated were: age; sex; indigenous origin; oral hygiene; halitosis; chewing ability; gingival conditions; periodontitis; smoking; alcoholism; diabetes; and location. Bivariate analysis and a logistic regression model were used to identify the association of periodontitis with the independent variables.

RESULTS

In total, 762 (43.6%) indigenous and 987 (56.4%) non-indigenous persons were interviewed. Their mean age was 41 ± 14 years, 66.7% were women and 43.8% lived in rural locations. Gingival problems were reported by 68.5% and periodontitis by 8.7%. In total, 17.9% had used dental services during the previous year, 28.7% wore a removable partial or a complete dental prosthesis, 63.7% had lost at least one tooth, the prevalence of diabetes was 9.2% and the prevalence of smoking was 12.2%. The logistic regression model showed that age, diabetes and the interaction between rural location and indigenous origin were associated with the presence of periodontitis.

CONCLUSIONS

Indigenous people living in rural areas are more likely to have periodontitis. It is necessary to promote oral health practices in indigenous and marginalised populations with a focus on community-oriented primary care.

Self-reported measures for surveillance of periodontitis

The purpose of this study was to evaluate the performance of self-reported measures in predicting periodontitis in a representative US adult population, based on 2009-2010 National Health and Nutrition Examination Survey (NHANES) data. Self-reported gum health and treatment history, loose teeth, bone loss around teeth, tooth not looking right, and use of dental floss and mouthwash were obtained during in-home interviews and validated against full-mouth clinically assessed periodontitis in 3,743 US adults 30 years and older. All self-reported measures (> 95% item response rates) were associated with periodontitis, and bivariate correlations between responses to these questions were weak, indicating low redundancy. In multivariable logistic regression modeling, the combined effects of demographic measures and responses to 5 self-reported questions in predicting periodontitis of mild or greater severity were 85% sensitive and 58% specific and produced an 'area under the receiver operator characteristic curve' (AUROCC) of 0.81. Four questions were 95% sensitive and 30% specific, with an AUROCC of 0.82 in predicting prevalence of clinical attachment loss ≥ 3 mm at one or more sites. In conclusion, self-reported measures performed well in predicting periodontitis in US adults. Where preferred clinically based surveillance is unattainable, locally adapted variations of these self-reported measures may be a promising alternative for surveillance of periodontitis.

Diagnostic validity of self-reported oral health outcomes in population surveys: literature review

Population-based health surveys are increasingly including self-reported oral health measures. However, their validity is frequently questioned. This study aimed to review the diagnostic validity of self-reported oral health measures - regarding periodontal conditions, number of remaining teeth and use and need of prostheses - and to present prototypes of oral health items to assess periodontal conditions. Papers published between 1991 and 2011 were identified through PubMed database. The sample profile, the sample size and the methods used in each study were analyzed, as well as the sensitivity, specificity, positive and negative predictive values of the oral health items. Periodontists were contacted, using a standardized text, sent by e-mail, which asked them to provide self-reported items regarding periodontal conditions. We reviewed 19 studies; 13 assessed periodontal conditions; five, the number of remaining teeth and four, the use and need of prosthesis - some studies evaluated two or more conditions simultaneously. Five of the eight periodontists suggested questions to assess periodontal conditions. The maximum and the minimum sensitivity values to assess periodontal conditions, number of remaining teeth and use and need of prosthesis were 100 and 2%; 91 and 21%; 100 and 100%; respectively; the maximum and the minimum specificity values were 100 and 18%; 97 and 96%; 93 and 93%; respectively. In conclusion, there are acceptable sensitivity and specificity values for number of remaining teeth and use and need of prosthesis only. Finally, we consider there is the need for further studies in the national context, in order to assess the impact of the questions about self-reported oral health conditions in epidemiological analyses. Therefore, it will be possible to empirically verify if self-reported questions can be used in such studies.

Advances in surveillance of periodontitis: the Centers for Disease Control and Prevention periodontal disease surveillance project

The Centers for Disease Control and Prevention (CDC) has as one of its strategic goals to support and improve surveillance of periodontal disease. In 2003, the CDC initiated the CDC Periodontal Disease Surveillance Project in collaboration with the American Academy of Periodontology to address population-based surveillance of periodontal disease at the local, state, and national levels. This initiative has made significant advancements toward the goal of improved surveillance, including developing valid self-reported measures that can be obtained from interview-based surveys to predict prevalence of periodontitis in populations. This will allow surveillance of periodontitis at the state and local levels and in countries where clinical resources for surveillance are scarce. This work has produced standard case definitions for surveillance of periodontitis that are now widely recognized and applied in population studies and research. At the national level, this initiative has evaluated the validity of previous clinical examination protocols and tested new protocols on the National Health and Nutrition Examination Survey (NHANES), recommending and supporting funding for the gold-standard full-mouth periodontal examination in NHANES 2009 to 2012. These examinations will generate accurate estimates of the prevalence of periodontitis in the US adult population and provide a superior dataset for surveillance and research. Also, this data will be used to generate the necessary coefficients for our self-report questions for use in subsets of the total US population. The impact of these findings on population-based surveillance of periodontitis and future directions of the project are discussed along with plans for dissemination and translation efforts for broader public health use.

Association between tooth loss and obesity in Brazilian adults: a population-based study

OBJECTIVE: To examine the association between tooth loss and general and central obesity among adults. METHODS: Population-based cross-sectional study with 1,720 adults aged 20 to 59 years from Florianópolis, Southern Brazil. Home interviews were performed and anthropometric measures were taken. Information on sociodemographic data, self-reported diabetes, self-reported number of teeth, central obesity (waist circumference [WC] > 88 cm in women and > 102 cm in men) and general obesity (body mass index [BMI] ≥ 30 kg/m²) was collected. We used multivariable Poisson regression models to assess the association between general and central obesity and tooth loss after controlling for confounders. We also performed simple and multiple linear regressions by using BMI and WC as continuous variables. Interaction between age and tooth loss was also assessed. RESULTS: The mean BMI was 25.9 kg/m² (95%CI 25.6;26.2) in men and 25.4 kg/m2 (95%CI 25.0;25.7) in women. The mean WC was 79.3 cm (95%CI 78.4;80.1) in men and 88.4 cm (95%CI 87.6;89.2) in women. A positive association was found between the presence of less than 10 teeth in at least one arch and increased mean BMI and WC after adjusting for education level, self-reported diabetes, gender and monthly per capita income. However, this association was lost when the variable age was included in the model. The prevalence of general obesity was 50% higher in those with less than 10 teeth in at least one arch when compared with those with 10 or more teeth in both arches after adjusting for education level, self-reported diabetes and monthly per capita family income. However, the statistical significance was lost after controlling for age. CONCLUSIONS: Obesity was associated with number of teeth, though it depended on the participants' age groups.