Relationship between the number of lost teeth and the occurrence of depressive symptoms in middle-aged adults: a cross-sectional study.

BACKGROUND: Many recent studies suggest the existence of a relationship between oral health and the occurrence of depressive symptoms. The aim of this study was to assess the relationship between the number of lost teeth and the occurrence of depressive symptoms in middle-aged adults. METHODS: An analysis was performed on the data obtained from the PONS project (POlish-Norwegian Study), conducted in the Swietokrzyskie Province in Poland in 2010-2011. The research material included the cross-sectional data of 11,901 individuals aged 40-64 years (7967 women). Depressive symptoms, used as outcome variables, were assessed with a questionnaire. The participants provided the responses to questions concerning the occurrence of eight symptoms over the last 12 months. The answers were scored as 1 point or 0 points. The participants were divided into three tercile groups based on their total scores: no or mild (0-2 points), moderate (3-5 points), and severe depressive symptoms (6-8 points). The self-reported number of lost teeth was analysed according to the following categories: 0-4, 5-8, 9-27, and a complete lack of natural teeth. Multivariable logistic regression analysis for depressive symptoms was used in relation to the number of lost teeth. The following covariates were included in the adjusted model: age, sex, place of residence, education, marital status, BMI, diabetes status, stressful life events in the last year, use of antidepressants, smoking, and sugar and sweet consumption. RESULTS: The likelihood of both moderate (OR = 1.189; 95%CI: 1.028-1.376; p < .020) and severe (OR = 1.846; 95%CI: 1.488-2.290; p < .001) depressive symptoms showed the strongest relationship with a total lack of natural teeth. A loss of more than 8 natural teeth was also significantly associated (OR = 1.315; 95%CI: 1.075-1.609; p < .008) with the occurrence of severe depressive symptoms. CONCLUSIONS: The loss of natural teeth was positively related to the occurrence of depressive symptoms in middle-aged adults. Thus, there is an urgent need to intensify stomatological prophylaxis, education and treatment for middle-aged individuals.

Genetic and environmental contributions for the relationship between tooth loss and oral potentially malignant disorders and oral squamous cell carcinoma.

BACKGROUND: To investigate the association between tooth loss and oral potentially malignant disorders and oral squamous cell carcinoma, focusing on epidemiological factors and genetic variants. METHODS: Case-control study, including histologically confirmed oral potentially malignant disorders and oral squamous cell carcinoma cases and healthy controls. Unadjusted and adjusted odds ratios for this association were calculated. Single-nucleotides polymorphisms were tested for individuals with and without missing teeth. RESULTS: Case individuals were more edentulous while controls had fewer missing teeth (p = 0.006). There was an increased risk for the outcomes associated with edentulism (OR = 6.95, p = 0.000), even after adjustments for educational level (OR = 4.7, p = 0.034) and smoking habits (OR = 5.01, p = 0.022). Among individuals with tooth loss, rs1533767 (WNT11), rs3923087, and rs11867417 (AXIN2) were associated with the outcomes (OR = 1.67, p = 0.03, OR = 0.53, p = 0.05, and OR = 0.42, p = 0.00, respectively). CONCLUSIONS: Tooth loss could increase the risk for oral potentially malignant disorders and oral squamous cell carcinoma.

Poor Oral Health Is Associated With Inflammation, Aortic Valve Calcification, and Brain Volume Among Forager-Farmers.

Poor oral health is associated with cardiovascular disease and dementia. Potential pathways include sepsis from oral bacteria, systemic inflammation, and nutritional deficiencies. However, in post-industrialized populations, links between oral health and chronic disease may be confounded because the lower socioeconomic exposome (poor diet, pollution, and low physical activity) often entails insufficient dental care. We assessed tooth loss, caries, and damaged teeth, in relation to cardiovascular and brain aging among the Tsimane, a subsistence population living a relatively traditional forager-horticulturalist lifestyle with poor dental health, but minimal cardiovascular disease and dementia. Dental health was assessed by a physician in 739 participants aged 40-92 years with cardiac and brain health measured by chest computed tomography (CT; n = 728) and brain CT (n = 605). A subset of 356 individuals aged 60+ were also assessed for dementia and mild cognitive impairment (n = 33 impaired). Tooth loss was highly prevalent, with 2.2 teeth lost per decade and a 2-fold greater loss in women. The number of teeth with exposed pulp was associated with higher inflammation, as measured by cytokine levels and white blood cell counts, and lower body mass index. Coronary artery calcium and thoracic aortic calcium were not associated with tooth loss or damaged teeth. However, aortic valve calcification and brain tissue loss were higher in those who had more teeth with exposed pulp. Overall, these results suggest that dental health is associated with indicators of chronic diseases in the absence of typical confounds, even in a population with low cardiovascular and dementia risk factors.

Dental health and lung cancer risk in the Golestan Cohort Study.

BACKGROUND: Poor oral health has been linked to various systemic diseases, including multiple cancer types, but studies of its association with lung cancer have been inconclusive. METHODS: We examined the relationship between dental status and lung cancer incidence and mortality in the Golestan Cohort Study, a large, prospective cohort of 50,045 adults in northeastern Iran. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between three dental health measures (i.e., number of missing teeth; the sum of decayed, missing, or filled teeth (DMFT); and toothbrushing frequency) and lung cancer incidence or mortality with adjustment for multiple potential confounders, including cigarette smoking and opium use. We created tertiles of the number of lost teeth/DMFT score in excess of the loess adjusted, age- and sex-specific predicted numbers, with subjects with the expected number of lost teeth/DMFT or fewer as the reference group. RESULTS: During a median follow-up of 14 years, there were 119 incident lung cancer cases and 98 lung cancer deaths. Higher DMFT scores were associated with a progressively increased risk of lung cancer (linear trend, p = 0.011). Compared with individuals with the expected DMFT score or less, the HRs were 1.27 (95% CI: 0.73, 2.22), 2.15 (95% CI: 1.34, 3.43), and 1.52 (95% CI: 0.81, 2.84) for the first to the third tertiles of DMFT, respectively. The highest tertile of tooth loss also had an increased risk of lung cancer, with a HR of 1.68 (95% CI: 1.04, 2.70) compared with subjects with the expected number of lost teeth or fewer (linear trend, p = 0.043). The results were similar for lung cancer mortality and did not change substantially when the analysis was restricted to never users of cigarettes or opium. We found no associations between toothbrushing frequency and lung cancer incidence or mortality. CONCLUSION: Poor dental health indicated by tooth loss or DMFT, but not lack of toothbrushing, was associated with increased lung cancer incidence and mortality in this rural Middle Eastern population.

Using machine learning algorithms to investigate factors associated with complete edentulism among older adults in the United States.

AIMS: Edentulism is an incapacitating condition, and its prevalence is unequal among different population groups in the United States (US) despite its declining prevalence. This study aimed to investigate the current prevalence, apply Machine Learning (ML) Algorithms to investigate factors associated with complete tooth loss among older US adults, and compare the performance of the models. METHODS: The cross-sectional 2020 Behavioral Risk Factor Surveillance System (BRFSS) data was used to evaluate the prevalence and factors associated with edentulism. ML models were developed to identify factors associated with edentulism utilizing seven ML algorithms. The performance of these models was compared using the area under the receiver operating characteristic curve (AUC). RESULTS: An overall prevalence of 11.9% was reported. The AdaBoost algorithm (AUC = 84.9%) showed the best performance. Analysis showed that the last dental visit, educational attainment, smoking, difficulty walking, and general health status were among the top factors associated with complete edentulism. CONCLUSION: Findings from our study support the declining prevalence of complete edentulism in older adults in the US and show that it is possible to develop a high-performing ML model to investigate the most important factors associated with edentulism using nationally representative data.

Oral health inequalities in Swedish older adults over 25 years of follow-up.

OBJECTIVES: The aim of this study was to describe inequalities in tooth loss and dissatisfaction with teeth related to time-invariant and time-variant socio-demographic characteristics and use of dental care across the middle and older life course and to assess whether oral health inequalities remain stable, widen or narrow from age 50 to 75. MATERIALS AND METHODS: In 1992, 6346 residents, aged 50, consented to participate in a prospective cohort study including postal questionnaire follow-ups every fifth year until age 75. Tooth loss and dissatisfaction with teeth were assessed at each survey wave in addition to socio-demographic factors and use of dental care. Multivariable logistic regression, generalised estimating equations, GEE, and random intercept logistic mixed models were used for estimation of population-averaged and person-specific odds ratio. Interaction terms of each covariate with the time indicator were added to test whether inequalities changed across time. RESULTS: Person-specific OR and 95% CI estimates for tooth loss varied from 1.29 (1.09-1.53) (unmarried vs married) to 9.20 (6.07-13.94) (foreign country vs native). Estimated ORs for tooth dissatisfaction ranged from 1.33 (1.15-1.55) (unmarried vs married) to 2.59 (2.15-3.11) (smoking vs no smoking). Inequalities in tooth loss according to sex, educational level and country of birth were smaller in magnitude in 2017 than in 1992. Inequality estimates in dissatisfaction with teeth according to use of dental care and perceived health were, respectively, smaller and greater at older than at younger age. CONCLUSION: Socio-demographic inequalities in oral health persisted from age 50 to 75 and varied in magnitude across time. Both convergence and widening of disparities in oral health occurred towards older ages.

Periodontal Disease, Tooth Loss, and Systemic Conditions: An Exploratory Study.

BACKGROUND: Although systemic medical conditions are associated with periodontitis and tooth loss, large-scale studies that include less prevalent systemic conditions are needed. The purpose of the study was to investigate the link between periodontal disease and tooth loss with systemic medical conditions in a large and diverse population. METHODS: Dental charts of adult patients who had attended the dental clinics seeking dental therapy of the universities contributing data to the BigMouth network and accepted the protocol of the study were included. Dental Procedure Codes and Current Procedural Terminology procedures were utilised to identify patients with and without periodontitis. Data were extracted from patients' electronic health records including demographic characteristics, dental procedural codes, and self-reported medical conditions as well as the number of missing teeth. RESULTS: A total of 108,307 records were ultimately included in the analysis; 42,377 of them included a diagnosis of periodontitis. The median age of the included population was 47.0 years, and 55.2% were female. Older and male individuals were significantly more likely to be in the periodontitis group and have higher number of missing teeth. A number of systemic conditions are associated with periodontitis and a higher number of missing teeth. High blood pressure, smoking, drug use, and diabetes were all found to be significant. Other significant conditions were anaemia, lymphoma, glaucoma, dialysis, bronchitis, sinusitis hepatitis, and asthma. CONCLUSIONS: Within the limitations of this retrospective study that utilised the BigMouth dental data repository, the association of a number of systemic conditions such as smoking, diabetes, and hypertension with periodontitis and tooth loss has been confirmed. Additional connections have been highlighted for conditions that are not commonly reported in the literature.

Association of Dental Infections with Intracranial Atherosclerotic Stenosis.

INTRODUCTION: Periodontal disease (PD) and dental caries are oral infections leading to tooth loss that are associated with atherosclerosis and cerebrovascular disease. We assessed the hypothesis that PD and caries are associated with asymptomatic intracranial atherosclerosis (ICAS) in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: Full-mouth clinical periodontal measurements (7 indices) collected at 6 sites per tooth from 6,155 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) without prior stroke were used to differentiate seven PD stages (Periodontal Profile Class [PPC]-I to -VII) and dental caries on coronal dental surface (DS) and dental root surface (DRS). A stratified subset underwent 3D time-of-flight MR angiogram and 3D high isotropic-resolution black blood MRI. ICAS was graded according to the criteria established by the Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) trial. We evaluated the relationship between PD stage and dental caries with asymptomatic ICAS, graded as no ICAS, <50% ICAS, and ≥50% ICAS. RESULTS: Among dentate subjects who underwent vascular imaging, 801 (70%) had no ICAS, 232 (20%) had <50% ICAS, and 112 (10%) had ≥50% ICAS. Compared to participants without gum disease (PPC-I), participants with mild-moderate tooth loss (PPC-VI), severe tooth loss (PPC-VII), and severe PD (PPC-IV) had higher odds of having <50% ICAS. Participants with extensive gingivitis (PPC-V) had significantly higher odds of having ≥50% ICAS. This association remained significant after adjusting for confounding variables: age, gender, race, hypertension, diabetes, dyslipidemia, 3-level education, and smoking status. There was no association between dental caries (DS and DRS) and ICAS <50% and ≥50%. CONCLUSION: We report significant associations between mild-moderate tooth loss, severe tooth loss, and severe PD with <50% ICAS as well as an association between extensive gingivitis and ≥50% ICAS. We did not find an association between dental caries and ICAS.

Tooth loss is associated with prevalent diabetes and incident diabetes in a longitudinal study of adults in Ireland.

AIM: The aim of this study was to explore the relationship between periodontal status, tooth loss and diabetes among community-dwelling adults aged 50 years and over in Ireland. METHODS: From respondents who attended a health assessment in Wave 3 of the Irish Longitudinal Study on Ageing (TILDA), an opportunistic sample was selected for an oral health examination. The oral health examination criteria were used in previous Irish surveys and WHO recommendations. For diabetes, the self-reported and objectively measured data on diabetes for the same cohort from Wave 3 to Wave 5 of TILDA was used. Multinomial regression analysis was used to evaluate the relationship between diabetes and tooth loss and tooth loss and incident diabetes, controlling for other covariates. RESULTS: Out of the 3111 people who were offered an oral health assessment 2539 were examined. For the purposes of analysis, the adults below 50 years of age (n = 31) and those with an incomplete oral health assessment (n = 4) were omitted from the sample. The final sample consisted of 2504 people, giving a response rate of 80.5%. Among the study sample, 9.9% (n = 249) were edentate; 35.7% (n = 895) had 1-19 teeth and 54.4% (n = 1360) had ≥20 teeth. From the sample of 2504 adults, 2358 had HbA1c results and 8.4% (n = 198) of these had diabetes according to the TILDA criteria. Multinomial regression analysis showed that diabetes was associated with tooth loss. Diabetes at Wave 3 was associated with a higher rate of being edentate (PR 2.12, 95% CI 1.27-3.52) relative to having ≥20 teeth while controlling for the effect of age, gender, education level, area of residence, body mass index (BMI) and smoking. Furthermore, having 1-19 teeth at Wave 3 was associated with incident diabetes over a 4-year follow-up (OR 1.94, 1.00-3.75). There was no evidence of an association between diabetes and periodontal status as measured in this sample. CONCLUSION: The results suggested that diabetes was associated with tooth loss and that this relationship may be bi-directional among community-dwelling adults aged 50 years and over in Ireland, but they do not support a relationship between diabetes and periodontal status in this sample.

Association between oral health and locomotive syndrome: a cross-sectional study in Japanese adults.

BACKGROUND: Many studies have examined the association between oral health, care needs, and physical function, but few have focused on the association between oral health and locomotive syndrome (LS). We examined the association between LS and oral-health status, such as the number of teeth and chewing function, in an adult population. METHODS: The study included 2888 participants who underwent examinations of motor function and oral health. Individuals with LS stage 1 or higher were classified as having LS, while others were classified as not having it. Logistic regression analysis was performed using the presence or absence of LS as the dependent variable and age, sex, smoking status, drinking habit, exercise habit, walking speed, history of stroke, bone density, body mass index, metabolic syndrome, chewing function, and the number of teeth as independent variables to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for each independent variable. RESULTS: When the number of teeth and chewing function were included separately in multivariate analyses, the OR for LS was significantly higher for participants with 0-19 teeth than for those with 28 teeth, and for participants with poor chewing function than for those with good function (adjusted ORs, 1.47 [95% CI, 1.01-2.15] and 1.73 [95% CI, 1.37-2.18], respectively). In analyses that included tooth number and chewing function as a combined independent variable, relative to individuals with 28 teeth and good masticatory function, the adjusted ORs were 2.67 (95% CI, 1.57-4.52) for those with 28 teeth and poor chewing function, 1.63 (95% CI, 1.20-2.22) for those with 20-27 teeth and poor chewing function, and 1.83 (95% CI, 1.06-3.18) for those with 0-19 teeth and poor chewing function. CONCLUSION: Having fewer teeth and poor chewing function may be associated with LS. The maintenance of masticatory function may be important to prevent LS in adulthood.

Periodontal disease is not associated with risk of inflammatory bowel disease: Results from two prospective cohort studies in the US.

AIM: To examine the relationship between periodontal disease and tooth loss and risk of inflammatory bowel disease (IBD). METHODS: We conducted a prospective cohort study of 86,602 women from the Nurses' Health Study (1992-2016) and 50,349 men from the Health Professionals Follow-up Study (1986-2016) with available data on periodontal disease and tooth loss. Cases of IBD were initially reported by participants and then confirmed by medical record review. We used Cox proportional hazards modelling to estimate multivariable-adjusted hazard ratios (aHRs) and 95% CIs. RESULTS: Through the end of follow-up, we documented 175 cases of Crohn's disease (CD) and 209 cases of ulcerative colitis (UC). After adjustment for potential risk factors, there was no association between periodontal disease and risk of CD (pooled aHR: 0.99, 95% CI: 0.65-1.52, p = 0.970) or UC (aHR: 0.99, 95% CI: 0.68-1.45, p = 0.971). Similarly, we did not observe an association between tooth loss and risk of CD (aHR: 0.72, 95% CI: 0.43-1.21, p = 0.218) or UC (aHR: 0.89, 95% CI: 0.58-1.36, p = 0.581) in the pooled analysis. The associations were not modified by sex, age, body mass index (BMI), smoking status or NSAID use (all pinteraction > 0.87). CONCLUSION: In two large prospective cohort studies, we did not observe an association between periodontal disease and tooth loss and risk of CD or UC.

Tooth loss, denture use, and all-cause and cause-specific mortality in older adults: a community cohort study.

Objectives: The available evidence on the connections between tooth loss, denture use, and mortality from all causes or specific causes among older adults is inconclusive. Therefore, we aimed to investigate the association between tooth loss, denture use, and all-cause and cause-specific mortality in older adults. Methods: A cohort of 5,403 participants aged 65 and older were recruited in the 2014 Chinese Longitudinal Healthy Longevity Survey wave and followed up in the 2018 wave. Cox proportional hazard models were used to examine the association between the number of natural teeth, denture use, and all-cause and cause-specific mortality. Results: During a mean (SD) follow-up of 3.1 years (1.3), 2,126 deaths (39.3%) occurred. Individuals with 0 and 1-9 teeth had higher mortality due to all-cause, cardiovascular disease (CVD), cancer, and other causes (all p-trend <0.05) than those with 20+ teeth. At the same time, no association was found with respiratory disease mortality. Participants who used dentures had lower mortality due to all causes [hazard ratios (HR) 0.79, 95% confidence intervals (CI) 0.71-0.88], CVD (HR 0.80, 95% CI 0.64-1.00), respiratory disease (HR 0.66, 95% CI 0.48-0.92), and other causes (HR 0.77, 95% CI 0.68-0.88) than those without dentures. Joint analysis revealed that older adults with fewer natural teeth and no dentures had higher mortality. Additionally, interaction analyses showed that the effects of the number of natural teeth on all-cause mortality were more pronounced in older adults aged <80 years (p-value for interaction = 0.03). Conclusion: Having fewer natural teeth, particularly less than 10 teeth, is linked to an increased risk of mortality from all causes, including CVD, cancer, and other causes, but not respiratory disease. The use of dentures would mitigate the adverse impact of tooth loss on all-cause and some cause-specific mortality.

Associations between missing teeth and the risk of cancer in Korea: a nationwide cohort study.

BACKGROUND: Poor dental health is correlated with an increased risk of cancer. Using a nationwide population cohort database, we investigated which cancer is highly associated with poor dental health and which dental indicator mostly influences cancer risk. METHODS: This study was conducted using the National Health Checkups (NHC) and National Health Insurance System (NHIS) database in Korea. NHC in Korea includes dental examinations. We retrieved subjects who underwent NHC between 2002 and 2003 and their medical information in NHIS database was followed until December 31,2015. RESULTS: Data for 200,170 who participated in the NHC between 2002 and 2003 were analysed. During the maximum follow-up period of 13 years, 15,506 (7.75%) subjects were diagnosed with cancer. The median time to cancer diagnosis after the dental examination was 87 months (range, 51-119 months). The proportion of people with missing teeth was higher in the cancer-diagnosed group than in the non-diagnosed group (26.27% vs. 22.59%, p < 0.001). Among several dental health factors, missing teeth were significantly associated with higher cancer risk. Subjects with missing teeth showed a 12% increased cancer risk compared to those without missing teeth (odds ratio [OR] 1.12, 95% confidence interval [CI], 1.08-1.16). The risk was significantly higher, especially in lung, head and neck, pancreatic, liver, biliary, and esophageal cancers (OR 1.27 [95% CI, 1.14-1.41], 1.32 [95% CI, 1.13-1.55], 1.27 [95% CI, 1.02-1.58], 1.24 [95% CI, 1.1-1.4], 1.28 [95% CI, 1.03-1.6], 1.4 [95% CI, 1.04-1.88], respectively). CONCLUSIONS: Missing teeth were the most important dental indicator associated with cancer risk. Korean adults with missing teeth should be cautious about the risk of several cancers, particularly head and neck, lung, gastrointestinal, hepatobiliary, and pancreatic cancer.

Functional dentition and edentulism associated with mortality: A cohort study of older adults in Southern Brazil.

OBJECTIVE: The aim of this study was to evaluate the association between the lack of a functional dentition and edentulism with mortality in a cohort of older adults in a Southern Brazilian city. MATERIALS AND METHODS: This is a longitudinal study carried out with community-dwelling older adults (≥60 years old) from Pelotas, Brazil, using data from the baseline (2014) and the first follow-up (2017). Main exposures were functional dentition (20+ teeth present) and edentulism (absence of all teeth), derived from self-reported number of teeth. All-causes mortality was evaluated according to the city's Epidemiological Surveillance Department. Potential confounders were age, sex, socioeconomic position, smoking, diabetes, hypertension, and body mass index (BMI). To test the association between functional dentition and edentulism with mortality, Poisson regression models with robust variance were used, to estimate Relative Risks and 95% confidence intervals. RESULTS: A total of 1289 older adults had information on all variables of interest and comprise the analytical sample (from 1451 at baseline). When analysing the presence of functional dentition, only 222 individuals (17.2%) had 20 or more teeth in their mouth, while 490 older adults were edentulous (38.0%). Crude analysis showed an association between tooth loss indicators and mortality. Models adjusted for sociodemographic variables and health conditions and behaviours revelled no association between the exposures and mortality. CONCLUSIONS: With the findings of this study, we did not identify an association between edentulism and functional dentition with mortality, after considering important shared risk factors.

Tooth-level predictors of tooth loss and exposed bone after radiation therapy for head and neck cancer.

BACKGROUND: The objective of this study was to identify tooth-level risk factors for use during preradiation dental care management to predict risk of tooth failure (tooth lost or declared hopeless) and exposed bone after radiation therapy (RT) for head and neck cancer (HNC). METHODS: The authors conducted a prospective observational multicenter cohort study of 572 patients receiving RT for HNC. Participants were examined by calibrated examiners before RT and then every 6 months until 2 years after RT. Analyses considered time to tooth failure and chance of exposed bone at a tooth location. RESULTS: The following pre-RT characteristics predicted tooth failure within 2 years after RT: hopeless teeth not extracted pre-RT (hazard ratio [HR], 17.1; P < .0001), untreated caries (HR, 5.0; P < .0001), periodontal pocket 6 mm or greater (HR, 3.4; P = .001) or equaling 5 mm (HR, 2.2; P = .006), recession over 2 mm (HR, 2.8; P = .002), furcation score of 2 (HR, 3.3; P = .003), and any mobility (HR, 2.2; P = .008). The following pre-RT characteristics predicted occurrence of exposed bone at a tooth location: hopeless teeth not extracted before RT (risk ratio [RR], 18.7; P = .0002) and pocket depth 6 mm or greater (RR, 5.4; P = .003) or equaling 5 mm (RR, 4.7; P = .016). Participants with exposed bone at the site of a pre-RT dental extraction averaged 19.6 days between extraction and start of RT compared with 26.2 days for participants without exposed bone (P = .21). CONCLUSIONS: Individual teeth with the risk factors identified in this study should be considered for extraction before RT for HNC, with adequate healing time before start of RT. PRACTICAL IMPLICATIONS: The findings of this trial will facilitate evidence-based dental management of the care of patients receiving RT for HNC. This clinical trial was registered at Clinicaltrials.gov. The registration number is NCT02057510.

Nutritional Status among Portuguese and Turkish Older Adults Living in the Community: Relationships with Sociodemographic, Health and Anthropometric Characteristics.

Malnutrition is widespread among older adults, and its determinants may differ between countries. We compared Portuguese and Turkish non-institutionalized older adults regarding nutritional status, sociodemographic, health and anthropometric characteristics and studied the relationships between nutritional status and those characteristics. This cross-sectional study analyzed data from 430 Portuguese and 162 Turkish non-institutionalized older adults regarding sociodemographics, health conditions, the Mini-Nutritional Assessment (MNA-FF) and anthropometry. Turkish older adults were more likely to be malnourished or at risk of malnutrition and had lower average BMI but a higher calf circumference. A higher proportion of the Portuguese sample had tooth loss, diabetes, hypertension, oncologic diseases, kidney diseases, osteoarticular problems or eye problems, while less had anemia. A better nutritional status (higher MNA-FF score) was found among the Portuguese, males, people using dentures, those without tooth loss, hypertension, cardiovascular diseases, anemia or oncological diseases and was related to younger age, higher BMI and a higher calf circumference. Malnutrition and its risk were higher among older adults from Turkey, despite Portuguese older adults presenting a higher prevalence of chronic diseases. Being female, older age, tooth loss, hypertension, anemia, CVD or oncological disorders and having a lower BMI or CC were associated with higher rates of malnutrition among older adults from Portugal and Turkey.

A time-dependent subdistribution hazard model for major dental treatment events in cancer patients: a nationwide cohort study.

BACKGROUND: Dental care in cancer patients tends to be less prioritized. However, limited research has focused on major dental treatment events in cancer patients after the diagnosis. This study aimed to examine dental treatment delays in cancer patients compared to the general population using a national claims database in South Korea. METHOD: The Korea National Health Insurance Service-National Sample Cohort version 2.0, collected from 2002 to 2015, was analyzed. Treatment events were considered for stomatitis, tooth loss, dental caries/pulp disease, and gingivitis/periodontal disease. For each considered event, time-dependent hazard ratios and associated 95% confidence intervals were calculated by applying a subdistribution hazard model with time-varying covariates. Mortality was treated as a competing event. Subgroup analyses were conducted by type of cancer. RESULTS: The time-dependent subdistribution hazard ratios (SHRs) of stomatitis treatment were greater than 1 in cancer patients in all time intervals, 2.04 within 30 days after cancer diagnosis, and gradually decreased to 1.15 after 5 years. The SHR for tooth loss was less than 0.70 within 3 months after cancer diagnosis and increased to 1 after 5 years. The trends in SHRs of treatment events for other dental diseases were similar to those observed for tooth loss. Subgroup analyses by cancer type suggested that probability of all dental treatment event occurrence was higher in head and neck cancer patients, particularly in the early phase after cancer diagnosis. CONCLUSION: Apart from treatments that are associated with cancer therapy, dental treatments in cancer patients are generally delayed and cancer patients tend to refrain from dental treatments. Consideration should be given to seeking more active and effective means for oral health promotion in cancer patients.

Explaining income inequities in tooth loss among Brazilian adults.

OBJECTIVE: To determine the extent to which individual and contextual variables explain income inequities in tooth loss in Brazilian adults. METHODS: A nationally representative sample of 65,784 Brazilian adults aged 18-59 who participated in the Brazilian National Health Survey 2019 was analyzed. Self-reported tooth loss was the outcome. Per capita income was the main exposure, and minimum wage was the cutoff point. Individual covariates included sex, race, and schooling, dental visits, smoking status, use of dental floss, and self-reported chronic conditions. Contextual covariates included access to treated water and geographic region of residence. Blinder-Oaxaca decomposition analysis was used to estimate the share of each factor in income-related tooth loss inequities by age groups. RESULTS: Age-standardized tooth loss showed large income inequities. The average difference in tooth loss related to income inequities in the 18-34-year-old group was 0.50 (95% CI 0.39; 0.60), increasing to 4.51 (95% CI 4.09; 4.93) in the 45-59 years. Individual and contextual covariates explained almost 90% of income inequities in the 45-59 year group. Use of dental floss, schooling, and geographic region of residence (a proxy for human development level) had a higher proportion of contribution to the inequities examined. CONCLUSIONS: Individual and contextual covariates (proxy for human development level and water fluoridation coverage) explained a large share of income-related tooth loss inequities. Tailored strategies to act at both levels can help reduce tooth loss inequities among Brazilian adults.

Tooth loss and periodontal status in patients with cardiovascular disease in the Serbian population: A randomized prospective study.

OBJECTIVES: Chronic periodontal infections may predispose to cardiovascular disease. Since tooth loss may be due to periodontitis it is assumed that tooth loss can also predisposes cardiovascular disease. The aim was to investigate the possible relationship between the severity of the clinical picture of periodontitis and the occurrence of cardiovascular disease. METHODS: We evaluated the association between clinical periodontal parameters, tooth loss and cardiovascular incident. A total of 100 subjects (50 subjects diagnosed with cardiovascular disease and 50 in control group without cardiovascular disease) underwent a dental examination. Tooth loss in all participants was caused only as a consequence of periodontitis. In addition to periodontal status, conventional risk factors for cardiovascular diseases (hypertension, smoking, obesity, hypercholesterolemia, diabetes) were measured, too. RESULTS: Periodontal status was worse in patients in the group with cardiovascular disease compared to the group without cardiovascular disease. A significant association was observed between tooth loss levels and cardiovascular disease. In the group of patients who had cardiovascular disease, tooth loss was more than 50%. In the group of patients without cardiovascular disease, tooth loss was about 20% of the total number of teeth. A significant association was observed between tooth loss levels and cardiovascular disease prevalence. CONCLUSION: This study presents relationship between number of teeth and cardiovascular disease, indicating a link between oral health and cardiovascular disease.

Periodontal risk score: Initiation and model validation for 6,762 teeth.

BACKGROUND: Tooth-level prognostic systems are valuable tools for treatment planning and risk assessment of periodontally involved teeth. Recently the Miller-McEntire prognosis index was found to outperform comparable systems. However, it had some limitations. The present study aimed to develop and evaluate the prognostic performance of a modified version that addresses most limitations of the previous model called the periodontal risk score (PRS). METHODS: Data were retrieved retrospectively from patients who received surgical and non-surgical periodontal treatment at a university setting. Data on medical history and smoking status at baseline and the last maintenance visit were collected. Both univariate and multivariate Cox proportional hazard regression models were used to analyze the prognostic capability for predicting tooth loss due to periodontitis (TLP) risk. RESULTS: A total of 6762 teeth (281 patients) were followed up for a mean period of 22.6 ± 6.34 (10-47.6y) years. The PRS was successfully able to stratify the risk of TLP at baseline when the three different classes of association were compared for anterior and/or posterior tooth loss. After controlling for maintenance, age, and sex, the index showed an excellent predictive capacity for TLP with a Harrell C-index of 0.947. CONCLUSIONS: The periodontal risk score (PRS) displayed excellent predictive capability for anterior as well as posterior tooth loss due to periodontitis. This system was able to predict long-term tooth loss with a very high accuracy  in a population treated mainly by dental students and periodontics residents. The use of this/similar prognosis system is advisable as a means to establish tooth prognosis.