Disparities of Delayed Dental Visits and Severe Tooth Loss Among Older Native Hawaiians and Other Pacific Islanders in Hawai'i: A Cross-Sectional Study of Behavioral Risk Factor Surveillance System Data from 2012 to 2020.

Oral health is a major health concern in the US and globally, particularly among communities of color and low-income/low-education groups. General health disparities have been reported among Native Hawaiians (NHs) and Other Pacific Islanders (OPIs), although less is known about the specific racial/ethnic and socioeconomic trends that are relevant to oral health disparities for NHOPIs. We examined delayed dental visits and severe tooth loss among older NHOPI adults in relation to sociodemographic factors and community level disparities using five waves of data from the Hawai'i Behavioral Risk Factor Surveillance System collected between 2012 and 2020. Weighted Poisson regression was used to estimate the unadjusted and adjusted prevalence ratio of delayed dental service utilization and severe tooth loss. Relative to other racial/ethnic groups, older NHs had higher rates of delayed dental service utilization and severe tooth loss after adjusting for sociodemographic factors, and disparities were also found in rural communities.Awareness of the unique challenges and inequities faced by older Indigenous and racially/ethnically marginalized populations is critical for policymakers to develop strategies to achieve health equity.

Evaluation of oral health among people with multimorbidity in the marginalized population of Karachi, Pakistan: A multicenter cross-sectional study.

Background: Oral health is linked to physical and mental well-being. Oral disease is common among poor and socioeconomically disadvantaged people in developing and industrialized countries. Objectives: This study assessed the oral health disease burden among people with multimorbidity in marginalized populations. Methods: This cross-sectional study was conducted across 16 locations in the slums of Karachi, Pakistan, to assess oral health disease problems among adults aged 18 to 70 with comorbidity or multimorbidity. The questionnaire covered the socioethnic, demographic, and disease status of people with oral health status. Data analyses were performed using SAS version 9.4. Results: Of the 16 designated slum locations, 870 individuals were considered for oral health screening. Gingivitis was highly prevalent, 29% among slum dwellers with multimorbidity of diabetes, hepatitis, and hypertension. Dandasa was widely used as a tooth-cleansing agent in 35% of the study population. By contrast, 45.4% of people showed unsatisfactory oral hygiene conditions. Pathan ethnicity showed the highest prevalence (i.e., 29.8% of dental problems with disease multimorbidity in 26.8% of Baldia Town residents of Karachi). Of the 870 individuals, the highest frequency of dental problems was found in the age group of 18-38 years (28-42.9%) and among female participants (53.8%). Conclusion: There is an urgent need for the global enhancement of public health programs, specifically focusing on implementing effective strategies to prevent oral illnesses, promote oral health, and address other chronic diseases in basic healthcare settings. Enhancing oral health poses significant difficulties, especially in less developed nations.

Diagnosis and initial management of children presenting with premature loss of primary teeth associated with a systemic condition: A scoping review and development of clinical aid.

BACKGROUND: Premature loss of primary teeth (PLPT) can be a rare presentation of systemic medical conditions. Premature loss of primary teeth may present a diagnostic dilemma to paediatric dentists. AIMS: To identify systemic conditions associated with PLPT and develop a clinical aid. DESIGN: OVID Medline, Embase and Web of Science were searched up to March 2023. Citation searching of review publications occurred. Exclusion occurred for conference abstracts, absence of PLPT and absence of English-language full text. RESULTS: Seven hundred and ninety-one publications were identified via databases and 476 by citation searching of review articles. Removal of 390 duplicates occurred. Following the exclusion of 466 records on abstract review, 411 publications were sought for retrieval, of which 142 met inclusion criteria. Thirty-one systemic conditions were identified. For 19 conditions, only one publication was identified. The majority of publications, 91% (n = 129), were case reports or series. Most publications, 44% (n = 62), were related to hypophosphatasia, and 25% (n = 35) were related to Papillon-Lefèvre. Diagnostic features were synthesised, and a clinical aid was produced by an iterative consensus approach. CONCLUSIONS: A diverse range of systemic diseases are associated with PLPT. Evidence quality, however, is low, with most diseases having a low number of supporting cases. This clinical aid supports paediatric dentists in differential diagnosis and onward referral.

The relationship between self-reported poor mental health and complete tooth loss among the US adult population in 2019.

Objective: Very little is known about the association between poor mental health and poor oral health outcomes in the United Sates. This study investigated the prevalence of complete tooth loss among those with and without perceived poor mental health in a nationally representative sample of noninstitutionalized U.S. adults. Methods: Using a cross-sectional study design, we analyzed the 2019 Medical Expenditures Panel Survey to determine the unweighted and weighted prevalence of complete tooth loss among adults. Chi-squared and multivariate logit regression with marginal effects were used to measure the association between complete tooth loss and perceived poor mental health, controlling for respondent characteristics. Results: The prevalence of adults (ages 18 and older) experiencing complete tooth loss was 6% (95% CI: 5.6-6.4). Individuals who have perceived poor mental health were 1.90 percentage points (pps) more likely to report missing all their natural teeth (P = 0.006: 95% CI: 0.5-3.3). Other relevant predictors of complete tooth loss included current smoking status (5.9 pps; 95% CI: 4.5 to 7.2) and secondary education (-6.4 pps (95% CI: -7.0 to -4.8). Conclusions: Overall, self-reported poor mental health was found to be associated with a greater likelihood of reporting complete tooth loss. Findings from this study underscore the need for greater integration of care delivery between behavioral health specialists and dental providers.

Tooth Loss and Chronic Pain: A Population-based Analysis of the National Health and Nutrition Examination Survey.

Poor oral health conditions in adults are associated to chronic pain. A nationwide cross-sectional study was conducted to investigate the link between tooth loss and chronic pain. The study involved 8,662 participants from the National Health and Nutrition Examination Survey (NHANES). Tooth count was categorized into four groups and chronic pain was defined as persistent pain lasting over three months despite treatment. Location of the chronic pain, demographics, comorbidities, lifestyle determinants, and dietary intake were retrieved. Univariate and multivariate logistic regression were used to explore cross-sectional associations between tooth count and chronic pain. Compared to participants with more than 20 teeth, those with severe tooth loss presented with greater odds of chronic pain (adjusted odds ratio (aOR)=2.111, 95%CI=1.213-3.676 f for patients with 1-8 teeth). Edentulous participants presented with significant higher odds of chronic pain in lower extremities (78.4%) and buttocks (49.5%). In the multivariate model, apart from rheumatic arthritis (aOR=4.004, 95%CI=2.766-5.798), variables of higher chronic pain included smoking (aOR=1.518, 95%CI=1.228-1.878), and hypertension (aOR=1.463, 95%CI=1.013-2.112). On the contrary, being Mexican American (aOR=0.603, 95%CI=0.414-0.880) was associated with lower odds of chronic pain. The findings suggested a significant link between chronic pain and tooth loss, independent of ethnicity, lifestyle determinants, and immune-mediated inflammatory diseases including rheumatoid arthritis. PERSPECTIVE: A US nationwide study examined tooth loss and chronic pain. Those with severe tooth loss had increased odds of chronic pain. Edentulous individuals presented higher odds of pain in lower extremities and buttocks. This study highlighted the link between tooth loss and chronic pain, independent of comorbidities and lifestyle factors.

Accuracy of Artificial Intelligence Models in the Prediction of Periodontitis: A Systematic Review.

INTRODUCTION: Periodontitis is the main cause of tooth loss and is related to many systemic diseases. Artificial intelligence (AI) in periodontics has the potential to improve the accuracy of risk assessment and provide personalized treatment planning for patients with periodontitis. This systematic review aims to examine the actual evidence on the accuracy of various AI models in predicting periodontitis. METHODS: Using a mix of MeSH keywords and free text words pooled by Boolean operators ('AND', 'OR'), a search strategy without a time frame setting was conducted on the following databases: Web of Science, ProQuest, PubMed, Scopus, and IEEE Explore. The QUADAS-2 risk of bias assessment was then performed. RESULTS: From a total of 961 identified records screened, 8 articles were included for qualitative analysis: 4 studies showed an overall low risk of bias, 2 studies an unclear risk, and the remaining 2 studies a high risk. The most employed algorithms for periodontitis prediction were artificial neural networks, followed by support vector machines, decision trees, logistic regression, and random forest. The models showed good predictive performance for periodontitis according to different evaluation metrics, but the presented methods were heterogeneous. CONCLUSIONS: AI algorithms may improve in the future the accuracy and reliability of periodontitis prediction. However, to date, most of the studies had a retrospective design and did not consider the most modern deep learning networks. Although the available evidence is limited by a lack of standardized data collection and protocols, the potential benefits of using AI in periodontics are significant and warrant further research and development in this area. KNOWLEDGE TRANSFER STATEMENT: The use of AI in periodontics can lead to more accurate diagnosis and treatment planning, as well as improved patient education and engagement. Despite the current challenges and limitations of the available evidence, particularly the lack of standardized data collection and analysis protocols, the potential benefits of using AI in periodontics are significant and warrant further research and development in this area.

Utilization of dental care and dentate status in diabetic and nondiabetic patients across US states: An analysis using the 2020 Behavioral Risk Factor Surveillance System.

OBJECTIVE: This study examines the differences, by state, in dental care utilization and tooth retention between adults with and without diabetes mellitus (DM). METHODS: We conducted a secondary analysis of data from the 2020 Behavioral Risk Factor Surveillance System, an annual, state-based, random telephone survey of noninstitutionalized US civilian adults. The predictor variable was DM status. The outcome variables were time since the last dental appointment and tooth loss. We utilized multiple multinomial logistic regression models followed by postestimation procedures to determine state-level adjusted proportions for dental visits within the last year and complete teeth retention among DM and non-DM adults. RESULTS: Among adults with DM, 60.0% reported dentist visits within a year of survey participation, while 53.6% had complete tooth retention. As education and income levels increased, dental attendance and tooth retention increased among adults with DM. Most Southern states had a higher prevalence of DM, a lower proportion of dentist visits, and worse tooth retention among DM adults. Nationally, DM individuals were 4.3 percentage points less likely to visit a dentist and were 7 percent less likely to have complete teeth retention than non-DM adults. Compared with the national average, 25/50 states had greater disparities in dental visits between DM and non-DM adults, and 27/50 states had greater disparities in tooth loss between DM and non-DM adults. CONCLUSION: State-level variations indicate geographical and dental coverage influences on DM and dental outcomes. There is a need for state-specific interventions to improve dental access and outcomes for adults with DM.

The association between objective and subjective oral health conditions and the presence of anorexia of aging among Japanese older Adults1.

Anorexia of aging is a risk factor for malnutrition among older adults. This study aimed to evaluate the association between objective and subjective oral health and anorexia among independent older adults. This cross-sectional study targeted independent older adults aged ≥65 years who participated in the Japan Gerontological Evaluation Study conducted in 2022. The outcome variable was the presence of anorexia, as assessed by the Simplified Nutritional Appetite Questionnaire. Exposure variables were dental status (≥20 teeth, 10-19 teeth with/without dentures, and 0-9 teeth with/without dentures) as objective oral health and oral health-related quality of life measured by five items of the short version of the Oral Impacts on Daily Performances (OIDP) (eating, speaking, smiling, emotional stability, and enjoying with others) as subjective oral health. We fitted the Poisson regression model, including possible confounders, and estimated prevalence ratios (PRs) and 95% confidence intervals. Among 19,787 participants (mean age: 74.6 years [1SD = 6.2], male: 48.5%), 9.0% were classified as having anorexia. After adjusting possible confounders, those with ≤19 teeth had a higher proportion of experiencing anorexia compared to those with ≥20 teeth; however, the association was less pronounced among those with dentures (0-9 teeth with dentures: PR = 1.48 [1.31-1.68], and 0-9 teeth without dentures: PR = 2.08 [1.65-2.63]). Even after adjusting for dental status, each item of OIDP was significantly associated with the presence of anorexia (all p < 0.05). The results showed that both objective and subjective poor oral health were significantly associated with a higher probability of developing anorexia of aging. Therefore, improving both objective and subjective oral health through appropriate dental care could contribute to maintaining appetite in later life.

Poor oral health was associated with higher risk of gastric cancer: Evidence from 1431677 participants.

BACKGROUND: In recent years, the association between oral health and the risk of gastric cancer (GC) has gradually attracted increased interest. However, in terms of GC incidence, the association between oral health and GC incidence remains controversial. Periodontitis is reported to increase the risk of GC. However, some studies have shown that periodontitis has no effect on the risk of GC. Therefore, the present study aimed to assess whether there is a relationship between oral health and the risk of GC. AIM: To assess whether there was a relationship between oral health and the risk of GC. METHODS: Five databases were searched to find eligible studies from inception to April 10, 2023. Newcastle-Ottawa Scale score was used to assess the quality of included studies. The quality of cohort studies and case-control studies were evaluated separately in this study. Incidence of GC were described by odds ratio (OR) and 95% confidence interval (CI). Funnel plot was used to represent the publication bias of included studies. We performed the data analysis by StataSE 16. RESULTS: A total of 1431677 patients from twelve included studies were enrolled for data analysis in this study. According to our analysis, we found that the poor oral health was associated with higher risk of GC (OR = 1.15, 95%CI: 1.02-1.29; I2 = 59.47%, P = 0.00 < 0.01). Moreover, after subgroup analysis, the outcomes showed that whether tooth loss (OR = 1.12, 95%CI: 0.94-1.29; I2 = 6.01%, P > 0.01), gingivitis (OR = 1.19, 95%CI: 0.71-1.67; I2 = 0.00%, P > 0.01), dentures (OR = 1.27, 95%CI: 0.63-1.19; I2 = 68.79%, P > 0.01), or tooth brushing (OR = 1.25, 95%CI: 0.78-1.71; I2 = 88.87%, P > 0.01) had no influence on the risk of GC. However, patients with periodontitis (OR = 1.13, 95%CI: 1.04-1.23; I2 = 0.00%, P < 0.01) had a higher risk of GC. CONCLUSION: Patients with poor oral health, especially periodontitis, had a higher risk of GC. Patients should be concerned about their oral health. Improving oral health might reduce the risk of GC.

Does maintaining the number of present and functional teeth benefit the longevity of life in older people requiring nursing care?: A prospective cohort study.

PURPOSE: This prospective cohort study examined the effects of the number of present and functional teeth on mortality among older Japanese adults requiring nursing care in an environment of comprehensive oral hygiene and nutritional management. METHODS: The study included 174 older adults (mean age: 84.4 ± 8.3 years; male/female: 49/125) in need of support or long-term care, who resided in either a local specialized healthcare facility or their own homes, and received daily oral hygiene and nutritional support at facilities in Okayama, Japan. The initial clinical oral examination along with assessment of general physical condition and nursing environment of the participants were performed in July 2013 and followed up for one year. RESULTS: All-cause mortality occurred in 28 (mean age: 88.7 ±13.4 years; male/female: 6 /22) individuals during the follow-up period. Cox proportional hazard analysis indicated that older age, low performance in activities of daily living (Barthel Index <40), and underweight status (body mass index <18.5) were significant risk factors for mortality. The number of present and functional teeth were not found to be significant risk factors for mortality. CONCLUSIONS: During the one-year follow-up period, the number of present and functional teeth did not have a significant impact on mortality among older Japanese adults requiring nursing care in a well-managed environment of oral hygiene and nutritional status.

Dental prosthesis use moderates association between tooth loss and risk of depressive symptoms in older adults with severe tooth loss: The JAGES cohort trial.

PURPOSE: Depression is a leading cause of disability. Although tooth loss increases the risk of depressive symptoms, it is unclear whether dental prosthesis use moderates this risk. This study aimed to investigate whether dental prosthesis use moderates the association between tooth loss and new depressive symptoms in older adults. METHODS: This cohort study used data from the 2016 and 2019 Japan Gerontological Evaluation Study (JAGES). The participants were independent older adults aged ≥65 years without depressive symptoms in 2016. The onset of depressive symptoms in 2019 was the outcome variable. The explanatory variables were dental status (≥20 teeth, 10-19 teeth with or without dental prostheses, and 0-9 teeth with or without dental prostheses) in 2016. Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated using Poisson regression models with potential confounders as covariates. RESULTS: The analysis included 50,169 participants (mean age: 72.8 [standard deviation, 5.4] years). During follow-up, the incidence of depressive symptoms was 11.3%. Compared to those who had ≥20 teeth, the RR of depressive symptom onset was highest among those who had 0-9 teeth without dental prostheses (RR, 1.27; 95% CI, 1.04-1.56), after the adjustment for confounders. However, this risk was lower in those with 0-9 teeth and dental prostheses (RR, 1.08; 95% CI, 1.01-1.15). CONCLUSIONS: These data highlight the potential of dental prostheses as an important factor in reducing the risk of depressive symptoms among individuals with severe tooth loss.

Estimating Periodontitis Susceptibility Cases for Epidemiological Studies with Multiple Imputation.

KNOWLEDGE TRANSFER STATEMENT: Our proposed estimate of periodontitis susceptibility cases addresses the issue of missing teeth, offering an innovative solution through a generative missing data imputation model. The implications of our findings extend to fostering more robust investigations into the relationships between periodontal health and systemic diseases, thereby offering valuable insights to clinicians for informed decision-making. Moreover, the study's capacity to shape clinical practices and interventions in public health will further fortify health policy strategies.

Effects of early tooth loss on chronic stress and progression of neuropathogenesis of Alzheimer's disease in adult Alzheimer's model AppNL-G-F mice.

Introduction: Alzheimer's disease (AD), the most common neurodegenerative disease, is characterized by accumulated amyloid-ß (Aß) plaques, aggregated phosphorylated tau protein, gliosis-associated neuroinflammation, synaptic dysfunction, and cognitive impairment. Many cohort studies indicate that tooth loss is a risk factor for AD. The detailed mechanisms underlying the association between AD and tooth loss, however, are not yet fully understood. Methods: We explored the involvement of early tooth loss in the neuropathogenesis of the adult AppNL-G-F mouse AD model. The maxillary molars were extracted bilaterally in 1-month-old male mice soon after tooth eruption. Results: Plasma corticosterone levels were increased and spatial learning memory was impaired in these mice at 6 months of age. The cerebral cortex and hippocampus of AD mice with extracted teeth showed an increased accumulation of Aß plaques and phosphorylated tau proteins, and increased secretion of the proinflammatory cytokines, including interleukin 1ß (IL-1ß) and tumor necrosis factor α (TNF-α), accompanied by an increased number of microglia and astrocytes, and decreased synaptophysin expression. AD mice with extracted teeth also had a shorter lifespan than the control mice. Discussion: These findings revealed that long-term tooth loss is a chronic stressor, activating the recruitment of microglia and astrocytes; exacerbating neuroinflammation, Aß deposition, phosphorylated tau accumulation, and synaptic dysfunction; and leading to spatial learning and memory impairments in AD model mice.

Estimation of Oral Disease Burden among Older Adults in LTC: A Scoping Review.

Oral health is an essential part of healthy aging and very little data exists around the disease burden for older adults in a long-term care setting. The aim of this scoping review was to estimate the disease burden of dental caries, periodontal disease, and tooth loss among older adults in Long-Term Care (LTC). This scoping review was conducted in accordance with the Joanna Briggs Institute methodology. A detailed strategy was used to conduct a comprehensive search of electronic databases: PubMed, Embase, and Dentistry and Oral Sciences Source (DOSS). The Rayyan AI platform was used to screen abstracts for assessment by one of five co-investigators. Results indicate that only one in three might have a functional dentition upon entry into LTC, and among those who are dentate, most might expect to develop at least one new coronal and one new root caries lesion each year. There is a need to better document the disease experiences of this group to tailor approaches to care that might reduce the avoidable suffering as a result of dental caries and periodontal disease.

Tobacco products and oral conditions among US adults: NHANES 2017-2020.

OBJECTIVES: Smoking is a major global health problem with serious systemic and oral consequences. This study aims at assessing the influence of smoking cigarettes and other types of smoked tobacco on oral conditions (OCs) using a representative sample of US adults. METHODS: Pre-pandemic data from the National Health and Nutrition Examination Survey 2017-2020 were utilized, and 7840 adults aged ≥30 years were included in our analyses. Descriptive statistics, logistic, and negative binomial regression models were performed to assess the relationship between tobacco products and OCs including, tooth loss (TL), coronal (CC) and root caries (RC). RESULTS: Overall, 16.29% of our sample were current cigarette smokers (CCS). TL (17.25%) and untreated RC (28.26%) were more evident among CCS. In the adjusted regression models, smoking cigarettes was associated with RC (AOR: 3.20, 95% CI; 2.02, 5.09), untreated CC (IRR: 3.08, 95% CI: 1.50, 6.31), and TL (IRR: 2.18, 95% CI: 1.64, 2.88). Regarding the type of used tobacco product in the past 5 days, cigarettes were the most common type (15.03%). The adjusted model indicated that e-cigarette smokers had the highest odds of untreated RC (AOR: 5.17, 95% CI: 2.19, 12.23) and the highest rate of TL (IRR: 2.21, 95% CI: 1.45, 3.35). Further, cigar smokers had the highest rate of teeth with untreated CC (IRR: 3.25, 95% CI: 1.46, 7.25). CONCLUSIONS: Using tobacco products is associated with poor OCs. Dentists, being the primary oral health care providers, can play a crucial role in counseling and supporting smokers to quit as part of their routine dental examination.

Association of dietary inflammation with tooth loss and cognitive decline in older adults from cross-sectional data: The moderated role of albumin.

OBJECTIVE: Growing evidence suggests a potential connection between tooth loss and cognitive function in recent years. Increasing studies have focused on their inter-relationship, however, the underlying mechanism has yet to be fully elucidated. Few studies have considered the role of dietary inflammation and serum albumin in the association between tooth loss and cognitive function. Therefore, the aim of this study was to explore the role of dietary inflammation and serum albumin in the association between tooth loss and cognitive impairment. METHODS: A sample of 1,009 US adults from the National Health and Nutrition Examination Survey (NHANES) provided data on oral condition, cognitive function, dietary intake, and serum tests. The association between tooth loss (exposure variable) and cognitive function (outcome variable) was assessed by linear regression. Furthermore, a moderated mediation model was established to examine the influence of dietary inflammation on the association between tooth loss and cognitive tests, and the visualization of the moderating effect of serum albumin concentration was displayed through the Johnson-Neyman curve. RESULTS: Participants with impaired dentition had worse cognitive function and a higher Dietary Inflammation Index (DII). DII was highly correlated with Immediate Recall Test (IR), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST), which mediated 16.46 %, 14.41 % and 11.28 % of the effect between tooth loss and cognitive functions. Additionally, the relationship between DII and DSST was moderated by serum albumin concentration. CONCLUSION: Tooth loss was associated with cognitive function which was affected by pro-inflammatory dietary patterns and serum albumin level. CLINICAL SIGNIFICANCE: This study presents evidence for dentists that dietary pattern change due to tooth loss plays a role in cognitive deterioration, which can also be moderated by serum albumin level. Therefore, the preservation of natural teeth is important for cognitive function, especially in an immunocompromised population with decreased serum albumin concentrations.

Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.

OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting. METHODS: Information on periodontitis patients and nineteen factors identified at the initial visit was extracted from electronic health records. The primary outcome is tooth loss phenotype (presence or absence of tooth loss). Prediction models were built on significant factors (single or combinatory) selected by the RuleFit algorithm, and these factors were further adopted by regression models. Model performance was evaluated by Area Under the Receiver Operating Characteristic Curve (AUROC) and Area Under the Precision-Recall Curve (AUPRC). Associations between predictors and the tooth loss phenotype were also evaluated by classical statistical approaches to validate the performance of machine learning models. RESULTS: In total, 7840 patients were included. The machine learning model predicting the tooth loss phenotype achieved AUROC of 0.71 and AUPRC of 0.66. Age, periodontal diagnosis, number of missing teeth at baseline, furcation involvement, and tooth mobility were associated with the tooth loss phenotype in both machine learning and classical statistical models. CONCLUSIONS: The rule-based machine learning approach improves model explainability compared to classical statistical methods. However, the model's generalizability needs to be further validated by external datasets. CLINICAL SIGNIFICANCE: Predictors identified by the current machine learning approach using the RuleFit algorithm had clinically relevant thresholds in predicting the tooth loss phenotype in a large and diverse periodontitis patient cohort. The results of this study will assist clinicians in performing risk assessment for periodontitis at the initial visit.

Chewing Disability Is Associated With Cognitive Impairment Among Older Adults: A Population-Based Cohort Study.

BACKGROUND: Chewing disability is associated with impaired quality of life, potentially leading to depression, and cognitive impairment. Although the chewing-ability-cognition relationship has been explored, examining whether depression mediates this relationship remains unclear. We investigated the association between chewing disability and cognitive impairment development and a potential mediation via depression among older persons. METHODS: Older persons without cognitive impairment at baseline (n = 973) from the 3 waves of the Panel on Health and Ageing of Singaporean Elderly were investigated. The outcome was incident cognitive impairment by the end of the study, while the exposure was chewing disability over the study period. Time-varying depression was the mediator. Time-fixed confounders included sex, ethnicity, education, marital status, living arrangement, and housing type, and time-varying confounders included age, smoking, cardiovascular diseases, diabetes, number of teeth, and denture wearing. We used marginal structural modeling to evaluate the effect of chewing disability on cognitive impairment development. RESULTS: After 6 years, 11% developed cognitive impairment, and chewing disability was reported by 33%. Chewing disability was associated with higher odds of developing cognitive impairment (OR 1.43, 95% CI: 1.09, 1.87), of which 85.3% was explained by the controlled direct effect of chewing disability, whereas the remaining 14.7% could be eliminated if there was no depression. CONCLUSIONS: Our findings indicate an association between chewing disability and cognitive impairment, while the role of depression could not be fully elucidated. Oral health should be incorporated as part of older persons' care for its potential to assess the risk for other systemic conditions.

Effects of tooth loss on behavioral and psychological symptoms of dementia in app knock-in mice.

OBJECTIVES: Many patients with Alzheimer's disease experience behavioral and psychological symptoms of dementia (BPSD), which significantly affect their quality of life. It is known that 5-Hydroxytryptamine (5-HT) plays a crucial role in the development of BPSD. However, the relationship between tooth loss and Alzheimer's disease symptoms, particularly aggression, has remained unexplored. Although nutritional status is known to influence the progression of dementia, the specific effect of tooth loss on peripheral symptoms, notably aggression, is not well understood. METHODS: In our study, we conducted maxillary molar extractions in aged C57BL6J and AppNL-G-F mice and observed their condition over a 3-month period. During this time, we documented significant behavioral and genetic differences between mice in the control groups and mice that underwent tooth extraction. Notably, mice that underwent tooth extraction exhibited a considerable decline in cognitive function and an increase in aggression at 3 months after tooth extraction compared with the control groups (C57BL6J or AppNL-G-Fmice). RESULTS: Our findings suggest that molar loss may lead to reduced 5-HT levels in the hippocampus, possibly mediated by the trigeminal nerve, contributing to the development of aggression and BPSD in Alzheimer's disease. CONCLUSION: This study sheds light on the intricate relationships between oral health, 5-HT, and Alzheimer's disease symptoms, offering valuable insights into potential therapeutic avenues for managing BPSD in patients with dementia.

Health-risk behaviours co-occur among adults with tooth loss.

INTRODUCTION: Health-risk behaviours tend to co-occur among the same sectors of the population. The aim of this study is to examine the association between an aggregate of multiple health-risk behaviours and tooth loss among American Adults. METHODS: We used data from the Behavioural Risk Factor Surveillance System (BRFSS) 2022, a nationally representative survey of non-institutionalized American. We included participants aged 18 years and older. An aggregate variable of health-risk behaviours which included smoking, heavy alcohol consumption, lack of physical activities, overweight/obesity, infrequent dental visits and infrequent medical check-up was created. Tooth loss was indicated by losing one tooth or more. Logistic Regression analysis was conducted to test the association between the aggregate of behaviours and tooth loss adjusting for income, education, ethnicity and health insurance. RESULTS: The analysis included 326,561 participants. The mean number of health-risk behaviours was 2.13 and 1.72 among participants with tooth loss and without tooth loss, respectively. The aggregate of health-risk behaviours was significantly associated with tooth loss with odds ratios 1.23 (95% CI, 1.21, 1.26) in a model adjusting for age, gender, education, income ethnicity and health insurance. CONCLUSION: This study demonstrated that an aggregate of health-risk behaviours, with some not directly linked to oral health, is associated with tooth loss among American adults. The study highlights the importance of considering different risk factors when planning health promotion policies to tackle oral health.