Modelling time-varying risk factors of tooth loss: Results from joint model compared with extended Cox regression model.

AIM: To illustrate the use of joint models (JMs) for longitudinal and survival data in estimating risk factors of tooth loss as a function of time-varying endogenous periodontal biomarkers (probing pocket depth [PPD], alveolar bone loss [ABL] and mobility [MOB]). MATERIALS AND METHODS: We used data from the Veterans Affairs Dental Longitudinal Study, a longitudinal cohort study of over 30 years of follow-up. We compared the results from the JM with those from the extended Cox regression model which assumes that the time-varying covariates are exogenous. RESULTS: Our results showed that PPD is an important risk factor of tooth loss, but each model produced different estimates of the hazard. In the tooth-level analysis, based on the JM, the hazard of tooth loss increased by 4.57 (95% confidence interval [CI]: 2.13-8.50) times for a 1-mm increase in maximum PPD, whereas based on the extended Cox model, the hazard of tooth loss increased by 1.60 (95% CI: 1.37-1.87) times. CONCLUSIONS: JMs can incorporate time-varying periodontal biomarkers to estimate the hazard of tooth loss. As JMs are not commonly used in oral health research, we provide a comprehensive set of R codes and an example dataset to implement the method.

Periodontitis is associated with an increased hazard of mortality in a longitudinal cohort study over 50 years.

AIM: To evaluate the association between periodontal disease and all-cause mortality in a longitudinal cohort study over 50 years. MATERIALS AND METHODS: Participants (N = 1156) in the Veterans Affairs Dental Longitudinal Study, aged 25-85 years at enrollment in 1968, received comprehensive medical and oral exams approximately every 3 years through 2007. Periodontal status was defined using person-level, mean whole-mouth radiographic alveolar bone loss (ABL) scores using a five-point Schei ruler, each unit representing 20% increments of ABL. Time-varying Cox regression models estimated hazard ratios (HRs) for the association between continuous and categorical ABL and mortality, adjusting for covariates. RESULTS: Each one-unit increase in mean ABL score was associated with a 14% increase in the hazard of mortality (adjusted HR = 1.14, 95% confidence interval [CI] 1.02, 1.27). When assessed categorically, HRs for average scores of 2 to <3 and 3 to ≤5 showed increasing associations with hazard of mortality, relative to 0 to <1 (adjusted HR = 1.17, 95% CI 0.94, 1.46; and HR = 1.65, 95% CI 0.94, 2.85, respectively). By contrast, we observed null associations for average scores of 1 to <2 relative to 0 to <1 (adjusted HR = 1.00, 95% CI 0.86, 1.17). CONCLUSIONS: Time-varying periodontal status assessed using radiographic ABL was positively associated with all-cause mortality even after confounder adjustment.

The association of sedentary behaviour and physical activity with periodontal disease in NHANES 2011-2012.

AIM: Periodontal disease is one of the most prevalent oral pathologies and a major chronic disease worldwide. Lifestyle habits such as poor nutrition and smoking have been established to contribute to the development of periodontal disease, but limited research has investigated whether physical activity and sedentary lifestyle play a role. The purpose of this study is to evaluate the association between physical activity, sedentary behaviour, and periodontal disease. MATERIALS AND METHODS: We used a nationally representative data set from the National Health and Nutrition Examination Survey (NHANES) 2011-2012. We examined the association between physical activity and sedentary behaviour and periodontal disease using multivariable logistic regression models and reported odds ratios (ORs). RESULTS: Individuals with higher total physical activity, higher leisure time physical activity, and lower amount of total sedentary behaviour had lower periodontal disease prevalence. Adjusted multivariable regression models showed that higher sedentary behaviour (more than 7.5 h/day) was associated with higher odds of periodontal disease (OR = 1.17; 95% confidence interval = 1.00-1.36; p = .045). CONCLUSIONS: The findings showed that higher sedentary behaviour is associated with higher odds of periodontal disease. Future prospective longitudinal studies and strategies are needed to investigate implications further and define the magnitude of the association between physical activity and periodontal disease.

A quantitative bias analysis to assess the impact of unmeasured confounding on associations between diabetes and periodontitis.

AIM: To investigate unmeasured confounding in bidirectional associations between periodontitis and diabetes using quantitative bias analysis. METHODS: Subsamples from the Veterans Affairs Dental Longitudinal Study were selected. Adjusted for known confounders, we used Cox proportional hazards models to estimate associations between pre-existing clinical periodontitis and incident Type II Diabetes (n = 672), and between pre-existing diabetes and incident severe periodontitis (n = 521), respectively. Hypothetical confounders were simulated into the dataset using Bernoulli trials based on pre-specified distributions of confounders within categories of each exposure and outcome. We calculated corrected hazard ratios (HR) over 10,000 bootstrapped samples. RESULTS: In models using periodontitis as the exposure and incident diabetes as the outcome, adjusted HR = 1.21 (95% CI: 0.64-2.30). Further adjustment for simulated confounders positively associated with periodontitis and diabetes greatly attenuated the association or explained it away entirely (HR = 1). In models using diabetes as the exposure and incident periodontitis as the outcome, adjusted HR = 1.35 (95% CI: 0.79-2.32). After further adjustment for simulated confounders, the lower bound of the simulation interval never reached the null value (HR ≥ 1.03). CONCLUSIONS: Presence of unmeasured confounding does not explain observed associations between pre-existing diabetes and incident periodontitis. However, presence of weak unmeasured confounding eliminated observed associations between pre-existing periodontitis and incident diabetes. These results clarify the bidirectional periodontitis-diabetes association.

Association between Parity and Dental Caries Experience among US Women: Findings from the National Health and Nutrition Examination Survey.

AIM AND OBJECTIVE: This study aims to investigate the association between parity and dental caries among US women. MATERIALS AND METHODS: National Health and Nutrition Examination Survey (NHANES 2001-2004) data for parous women aged 20-45 years were used for our analysis (n = 1,914). The association between parity (number of pregnancies resulted in live births) and caries experience [the decayed, missing, and filling teeth (DMFT) index] was analyzed using bivariate and multivariate regression analyses. SAS software version 9.1 was used for the statistical analyses. We used survey procedures (e.g., SURVEYFREQ, SURVEYMEANS, and SURVEYREG) that incorporate information on the appropriate weights to account for NHANES's complex sampling design. RESULTS: The bivariate analysis showed a trend of increase in dental caries experience among parous women as the number of live births increased (p = 0.007). After adjusting for confounders, such as age, socioeconomic status (SES), dental care coverage, and utilization, a significant association was still observed between parity level and dental caries experience (p = 0.009). CONCLUSION: Our results suggest that higher parity can be associated with dental caries experience among US women of reproductive age. CLINICAL SIGNIFICANCE: Clinicians should be aware of this finding to promote better oral health care and education among women with increased parity.

The association between the supplemental nutrition assistance programme participation and dental caries among U.S. adults.

INTRODUCTION: The Supplemental Nutrition Assistance Programme (SNAP) is a federal programme aimed to alleviate hunger and improve food insecurity. The impact of SNAP participation on overall health has been studied. However, little is known about the effects of SNAP participation on oral health. We aimed to investigate the association between participating in SNAP and dental caries and to explore the role of food insecurity as a moderator in this relationship. METHODS: We obtained data from the National Health and Nutrition Examination Survey (NHANES) cycles 2011-2012 and 2013-2014.The primary outcome was untreated dental caries (none vs. one or more). Self-reported SNAP participation status in the past 12 months was the predictor, and food security was the moderator. Food security was measured as overall food security status (full food secure/ food insecure) and household-level food security (full, marginal, low and very low). Bivariate and multiple logistic regression analyses were conducted to evaluate the relationship between SNAP and dental caries, and whether food insecurity moderates this relationship. Statistical analysis was carried out in September 2020. RESULTS: Our results suggested that after adjusting for potential confounders, SNAP participants were more likely to have untreated dental caries than non-SNAP participants (odds ratio: 1.6; 95% CI: 1.2-2.0). Food security status did not alter the relationship between SNAP participation and untreated dental caries. CONCLUSIONS: Food security status did not alter the relationship between SNAP participation and untreated dental caries. SNAP participation was associated with untreated dental caries among U.S. adults, and this was not affected by their food security status.

The impact of periodontitis exposure misclassification bias from partial-mouth measurements on association with diabetes and cardiovascular disease.

AIM: To quantify exposure misclassification bias arising from use of partial-mouth protocols in studies of periodontitis-systemic disease associations. MATERIALS AND METHODS: Using data from 10,134 adults participating in the National Health and Nutrition Examination Survey, we classified periodontal status based on full-mouth clinical examinations and three commonly used partial-mouth protocols. Associations between periodontitis and self-reported diabetes and cardiovascular disease were evaluated under each protocol using adjusted logistic regression. Percent relative bias was calculated to evaluate magnitude and direction of bias. RESULTS: Misclassification primarily resulted in underestimation of associations, the extent of which depended on both the outcome under study and exposure severity. Bias due to misclassification of severe periodontitis was negligible for cardiovascular disease (0%-4.1%) compared to diabetes (177.7%-234.1%). In contrast, bias in moderate periodontitis associations was comparable across each outcome-diabetes (28.4%-39.5%) and cardiovascular disease (8.9%-46.7%). Results did not meaningfully change based on the partial-mouth protocol implemented. Stratified analyses showed increased bias among those with ≤15 teeth. Use of mean attachment loss as a continuous exposure resulted in minimal-to-no bias. CONCLUSIONS: Exposure misclassification bias due to use of partial-mouth protocols can yield inaccurate conclusions about periodontitis-systemic disease associations, the extent of which may depend on periodontitis classification and the association under study.

Predicting professional school performance with a unique lens: are there other cognitive predictors?

BACKGROUND: We investigated the associations between admissions criteria and performance in four cohorts of pre-dental MS in Oral Health Sciences (OHS) program at Boston University Schools of Medicine and Dental Medicine. Previously we have reported that OHS serves as a successful pre-dental pipeline program for students from underrepresented groups. METHODS: We evaluated academic variables that further affect overall graduate GPA and grades in the first year dental school courses taken by OHS students at Boston University between 2012 and 2016 as part of the MS curriculum. Demographic data, region of residency, undergraduate grade point average, number of science and math credits, major of study, dental admissions test scores and undergraduate institution were collected. The competitiveness of the undergraduate institution was scored based on Barron's Profiles of American Colleges. OHS-GPA was assessed and individual grades in two first year dental school courses taken as part of the OHS curriculum were collected. Analysis of variance, the Chi-square test and Fisher's Exact test were utilized to assess associations between academic performance parameters, successful program completion and matriculation to dental school. RESULTS: Results indicate that undergraduate major, age and number of science course credits taken had no impact on MS performance in the Boston University MS in Oral Health Sciences program; however, students who took an undergraduate course in Physiology performed better than those who did not (p = 0.034). This was not the case with courses in Cell Biology and Biochemistry. Students with DAT scores over 20 academic average (p = 0.001), 18 total science average (p = 0.001) and 22 reading comprehension (p = 0.004) performed better in dental school courses taken in OHS. CONCLUSION: We report that strong test scores, attending a mid or highly rigorous undergraduate institution and completion of an undergraduate Physiology course are positive predictors. We hope these findings will guide admission's decisions and improve recruitment to, and future success of, graduate student's pursuit of professional school. Understanding alternative predictors of success may help to reduce the intrinsic bias among applicants from underrepresented groups and continue to look beyond the DATs (or MCATs) to decrease the gap between professionals from underrepresented groups and those they serve.

Patients With Metabolic Syndrome May Experience More Tooth Loss and Poorer Functional Dentition Than Those Without Metabolic Syndrome.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Association between metabolic syndrome and tooth loss: A systematic review and meta-analysis. Souza ML, Massignan C, Glazer Peres K, Aurélio Peres M. J Am Dent Assoc 2019;150(12):1027-1039.e7. SOURCE OF FUNDING: Government. Foundation for Research and Innovation Support of Santa Catarina State (Brazil), Coordination of Improvement of Higher Level Personnel (Brazil). TYPE OF STUDY/DESIGN: Systematic review with meta-analysis of data.

Marginal analysis of ordinal clustered longitudinal data with informative cluster size.

The issue of informative cluster size (ICS) often arises in the analysis of dental data. ICS describes a situation where the outcome of interest is related to cluster size. Much of the work on modeling marginal inference in longitudinal studies with potential ICS has focused on continuous outcomes. However, periodontal disease outcomes, including clinical attachment loss, are often assessed using ordinal scoring systems. In addition, participants may lose teeth over the course of the study due to advancing disease status. Here we develop longitudinal cluster-weighted generalized estimating equations (CWGEE) to model the association of ordinal clustered longitudinal outcomes with participant-level health-related covariates, including metabolic syndrome and smoking status, and potentially decreasing cluster size due to tooth-loss, by fitting a proportional odds logistic regression model. The within-teeth correlation coefficient over time is estimated using the two-stage quasi-least squares method. The motivation for our work stems from the Department of Veterans Affairs Dental Longitudinal Study in which participants regularly received general and oral health examinations. In an extensive simulation study, we compare results obtained from CWGEE with various working correlation structures to those obtained from conventional GEE which does not account for ICS. Our proposed method yields results with very low bias and excellent coverage probability in contrast to a conventional generalized estimating equations approach.

Incisor malalignment and the risk of periodontal disease progression.

INTRODUCTION: The objective of this study was to investigate the association between incisor crowding, irregularity, and periodontal disease progression in the anterior teeth. METHODS: Data collected over 35 years from men enrolled in the Veterans Affairs Dental Longitudinal Study included information concerning pocket depth and alveolar bone loss. Plaster casts of the maxillary (n = 400) and mandibular (n = 408) arches were available for baseline measurements. Periodontal disease in the anterior teeth was defined as per arch sum of pathologic pocket depth and sum of teeth with any alveolar bone loss in the anterior sextants. Incisor malalignment status was defined by the anterior tooth size-arch length discrepancy index and Little's Irregularity Index. Adjusted mixed effects linear models computed the beta (ß) estimates and 95% confidence intervals (95% CI) of the amounts of change in periodontal disease outcomes by the level of malalignment. RESULTS: In the anterior maxillary arch, crowding and spacing were significantly associated with an increased per-arch sum of pathologic pocket depth (ß, 0.70 mm; 95% CI, 0.20-1.21, and ß, 0.49 mm; 95% CI, 0.06-0.91, respectively). In the anterior mandibular arch, incisor crowding and irregularity were significantly associated with an increased per-arch sum of pathologic pocket depth (mild crowding: ß, 0.47 mm; 95% CI, 0.01-0.93; severe irregularity: ß, 0.94 mm; 95% CI, 0.50-1.38), and the sum number of teeth with alveolar bone loss (mild and moderate-to-severe crowding: ß, 0.45 teeth; 95% CI, 0.08-0.82; and ß, 0.45 teeth; 95% CI, 0.13-0.83, respectively; moderate irregularity: ß, 0.34 teeth; 95% CI, 0.06-0.62). CONCLUSIONS: Certain incisor malalignment traits (ie, maxillary incisor crowding, maxillary incisor spacing, mandibular incisor mild crowding, mandibular incisor moderate-to-severe crowding, mandibular incisor moderate irregularity, and mandibular incisor severe irregularity) are associated with significant periodontal disease progression.

Daily Intake of Probiotic Lactobacilli May Reduce Caries Risk in Young Children.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Probiotic compared with standard milk for high-caries children: A cluster randomized trial. Rodríguez G, Ruiz B, Faleiros S, Vistoso A, Marró ML, Sánchez J, Urzúa I, Cabello R. J Dent Res 2016;95(4):402-7. SOURCE OF FUNDING: Chilean Government (CONICYT FONIS SA11I2035) TYPE OF STUDY/DESIGN: Cluster randomized controlled trial.

Limited Evidence Suggests Tooth Loss is Associated With Increased Risk of Cognitive Impairment.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Tooth loss increases the risk of diminished cognitive function: a systematic review and meta-analysis. Cerutti-Kopplin D, Feine J, Padilha DM, et al. JDR Clin Translational Res 2016;1(1):10-9. SOURCE OF FUNDING: Government. Dr Cerutti-Kopplin received a scholarship for the Coordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brazil; Dr Booij received a new investigator award from the Canadian Institutes of Health Research; and Dr Emami holds a Canadian Institutes of Health Research Clinician Science Award and new investigator funds from the Fonds de Recherche du Québec-Santé TYPE OF STUDY/DESIGN: Systematic review with meta-analysis of data.

Alcohol Consumption May Increase the Risk for Periodontal Disease in Some Adult Populations.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Alcohol consumption and risk of periodontitis: a meta-analysis. Wang J, Lv J, Wang W, Jiang X. J Clin Periodontol 2016;43(7):572-83. SOURCE OF FUNDING: The authors reported that no external funding sources, apart from the support of the authors' institutions, were available for this study TYPE OF STUDY/DESIGN: Systematic review with meta-analysis of data.

Predicted vitamin D status and incidence of tooth loss and periodontitis.

OBJECTIVE: Vitamin D insufficiency is highly prevalent, with particular subgroups at greater risk (e.g. the elderly and those with darker skin). Vitamin D insufficiency may partly explain US racial/ethnic disparities in the prevalence of periodontitis and tooth loss. We evaluated the association between a predictor score of plasma 25-hydroxyvitamin D (25(OH)D) and incidence of periodontitis and tooth loss. DESIGN: Detailed biennial questionnaires were collected on medical history, lifestyle practices and incident periodontitis and tooth loss. The predictor score was derived from variables known to influence circulating concentrations of plasma 25(OH)D and validated against plasma concentrations among a sub-sample. Multivariable Cox proportional-hazards models with time-varying covariates estimated the association between the predicted 25(OH)D score and time until first tooth loss. SUBJECTS: A total of 42,730 participants of the Health Professionals Follow-Up Study aged 40-75 years at baseline were followed from 1986 to 2006. SETTING: USA, representing all fifty states and the District of Columbia. RESULTS: We observed 13,581 incident tooth loss events from 539,335 person-years. There was a dose-dependent significant inverse association across quintiles of the predicted 25(OH)D score and incidence of tooth loss. In multivariable analyses, the highest quintile of the updated predicted 25(OH)D score compared with the lowest was associated with a 20% lower incidence of tooth loss (hazard ratio = 0.80, 95 % CI 0.76, 0.85; P value for trend <0.001); UV-B was also independently associated. Results for the predicted 25(OH)D score and periodontitis were similar. CONCLUSIONS: These results are suggestive of an association between predictors of vitamin D and lower incidence of tooth loss and periodontitis.

Depression and Differential Oral Health Status Among U.S. Adults With and Without Prior Active Duty Service in the U.S. Military, National Health and Nutrition Examination Survey 2011-2018.

INTRODUCTION: Veterans suffer from lower overall well-being than non-veterans because of their unique life course. This study aims to compare the impact of depression on oral health for veteran and non-veteran populations. MATERIALS AND METHODS: Data from 11,693 adults (18+) participating in the National Health and Nutrition Examination Survey (2011-2018) were analyzed. The outcome variables were dichotomous (at/above mean) decayed, missing, and filled teeth due to caries (DMFT), as well as the components, namely, missing teeth, filled teeth (FT), and decayed teeth (DT). The primary predictor variable combined depression screening outcome and veteran status (veteran/depressed, veteran/not depressed, non-veteran/depressed, and non-veteran/not depressed). Covariates included socioeconomic factors, demographics, wellness factors, and oral health-related habits. Associations between outcome and predictor variables were assessed with a fully adjusted logistic regression analysis. RESULTS: Veterans, regardless of depression status, had more DMFT, FT, missing teeth, and DT compared to non-veterans. After controlling for covariates, veterans suffering from depression had higher odds of DT (1.5, 95% CI, 1.0-2.4) compared to non-veterans without depression. In general, veterans who screened negative for depression had better oral health compared to all groups, with lower odds of DT (0.7, 95% CI, 0.6-0.9) and higher odds of FT (1.4, 95% CI, 1.1-1.7) compared to non-veterans with and without depression. CONCLUSIONS: This study found that not only veterans have higher odds of overall caries experience, but also veterans suffering from depression have higher odds of active caries compared to non-depressed veterans. Most veterans lack Veterans Health Administration dental benefits and face challenges maintaining oral health on top of medical and mental health burdens. Our results add further urgency to increasing dental care access for this vulnerable population because of the exacerbation of unmet oral health care needs attributable to the additional mental health challenges veterans face.

Response to commentary: See Original Article here.

This letter is a response to commentary by Dr. Smith on 'Examining the association between cancer history in early life and dental care utilization'. We provided additional information and clarification regarding our analysis and results in response to Dr. Smith's questions and comments. Despite the limitations and weaknesses of our study, we still believe that it provides important information and further research questions.

Effect of being overweight and obese on periodontal treatment costs.

BACKGROUND: Obesity can increase a person's risk of developing periodontal disease, and patients with obesity have greater health care costs. However, the effect of obesity on periodontal treatment costs has not been examined. METHODS: This retrospective cohort study used data from the electronic dental records of adult patients examined from July 1, 2010, through July 31, 2019 at a US dental school. Primary exposure was body mass index, which was categorized as obese, overweight, or normal. Periodontal disease was categorized using clinical probing measures. Fee schedules and procedure codes were used to compute the primary outcome, which was total periodontal treatment costs. A generalized linear model with gamma distribution was used to examine the relationship between body mass index and periodontal costs after controlling for initial periodontal disease severity and other confounding variables. Parameter coefficients and mean ratios with 95% CIs were estimated. RESULTS: The study sample included 3,443 adults, of whom 39% were normal weight, 37% were overweight, and 24% were obese. Mean (SD) total periodontal treatment costs for patients who were obese were considerably higher ($420 [$719]) than those for patients who were overweight ($402 [$761]) and patients who were normal weight ($268 [$601]). After controlling for covariates and disease severity, patients who were obese had 27% higher periodontal treatment costs than patients who were normal weight. The additional periodontal treatment costs attributable to obesity were greater than those attributable to either diabetes or smoking. CONCLUSIONS: The study results suggest that among patients at a dental school, those who were obese incurred substantially higher periodontal treatment costs than patients who were normal weight, independent of initial periodontal disease severity. PRACTICAL IMPLICATIONS: The study findings have important implications for clinical guidelines and dental benefit design and coverage policies.

Overweight and obesity predict time to periodontal disease progression in men.

AIMS: To examine whether overweight and obesity indicators - body mass index (BMI), waist circumference (WC), and WC-to-height ratio - predict progression of periodontal disease in men. MATERIAL AND METHODS: Participants were 1038 medically healthy, non-Hispanic, white males in the VA Dental Longitudinal Study who were monitored with triennial oral and medical examinations between 1969 and 1996. Periodontal disease progression in an individual was defined as having two or more teeth advance to levels of alveolar bone loss ≥40%, probing pocket depth ≥5 mm, or clinical attachment loss ≥5 mm after baseline. Extended Cox regression analyses estimated hazards of experiencing periodontal disease progression events due to overweight/obesity status, controlling for age, smoking, education, diabetes, recent periodontal treatment, recent prophylaxis, and number of filled/decayed surfaces. RESULTS: Body mass index and WC-to-height ratio were significantly associated with hazards of experiencing periodontal disease progression events regardless of periodontal disease indicator. Adjusted hazard ratios for periodontal disease progression were 41-72% higher in obese men (BMI ≥30 kg/m(2)) relative to men with both normal weight and WC-to-height ratio (≤50%). CONCLUSION: Both overall obesity and central adiposity are associated with an increased hazards of periodontal disease progression events in men.

Examining the association between cancer history in early life and dental care utilization.

OBJECTIVES: This study aims to examine associations between cancer history in early life (diagnosed at 20 years of age or younger) and utilization of dental care. METHODS: We analysed data of 10,185 participants, aged ≥20 years, from the National Health and Nutrition Examination Survey cycles 2015-2018. The main predictor was self-reported past history of any type of cancer diagnosed at 20 years of age or younger (yes/no). The outcome variables were having a dental visit within the past year, treatment or preventative visit, urgent need for care, and unmet dental need. Covariates included gender, age, race, marital status, education, and income. Bivariate and multiple logistic regression were conducted, accounting for the complex sampling design. RESULTS: There was no difference between early life cancer survivors in regards to dental visit within the past year (OR: 0.7; 95% CI: 0.3-1.6), visit for dental treatment (OR: 0.6; 95% CI: 0.3-1.6), urgent need for care (OR: 0.8; 95% CI: 0.3-2.0), or unmet dental need (OR: 0.6; 95% CI: 0.2-1.6) compared to cancer-free participants. CONCLUSIONS: Cancer history in early life doesn't impact dental care visits, type of last dental visit, dental care recommendation, or unmet dental need. Future cohort studies are needed to confirm this association.