Association between obesity and periodontitis in Australian adults: A single mediation analysis.

BACKGROUND: Obesity and periodontitis are conditions with high burden and cost. This study aims to unfold the proposed pathways through which the effect of obesity in the presence of health behaviors (dental visiting behavior and diabetes) increases the risk of periodontitis? METHODS: The effect decomposition analysis using potential outcome approach was used to determine obesity-related periodontitis risk using the Australian National Survey of Adult Oral Health 2004 to 2006. A single mediation analysis for exposure, "physical-inactivity induced obesity," mediator "dental visiting behavior (a de facto measure of healthy behaviors)," outcome "periodontitis," and confounders "age, sex, household income, level of education, self-reported diabetes, alcohol-intake and smoking," was constructed for subset of 3,715 participants, aged ≥30 years. Proposed pathways were set independently for each risk factor and in synergy. The STATA 15 Paramed library was used for analysis. Sensitivity analysis was conducted to detect unmeasured confounding using non-parametric approach. RESULTS: The average treatment effect of physical inactivity induced obesity to periodontitis is 14%. Pathway effect analysis using potential outcomes illustrated that the effect of obesity on periodontitis that was not mediated through poor dental visiting behavior was 10%. Indirect effect of obesity-mediated through poor dental visiting behavior on periodontitis was 3%. CONCLUSIONS: The direct effect of physical inactivity induced obesity on periodontitis was higher than the indirect effect of obesity on periodontitis through dental visiting behavior. Establishing a pathway of causal relationship for obesity and periodontitis could help in developing management strategies that focuses on mediators.

Obesity and periodontitis in Australian adults: A population-based cross-sectional study.

OBJECTIVES: Obesity and periodontitis are public health issues in Australia. This study aimed to determine the association between overweight/obesity and periodontitis in Australian adults. MATERIALS AND METHODS: The cross-sectional National Survey of Adult Oral Health 2004-2006 data were analysed. Body mass index was calculated, and a self-reported questionnaire was used to measure the estimated daily intake of added sugar. The mean number of sites with probing depth (PD) ≥ 4 mm and clinical attachment loss (CAL) ≥ 4 mm and presence of periodontitis were used as outcome measures. CDC/AAP periodontitis case definition was adopted. Bivariate analyses and multiple variable regression models were constructed. RESULTS: The study sample was 4,170 participants. The proportion of people that were overweight/obese was 51.9% [95% confidence interval (CI): 48.1%, 54.1%]. Overall 21.3% (95% CI: 19.3%, 23.5%) people experienced periodontitis. The mean number of sites with PD ≥ 4 mm and CAL ≥ 4 mm were recorded as 0.7 (95% CI: 0.5, 0.9) and 2.4 (95% CI: 2.1, 2.6), respectively. Multiple variable analysis suggested that periodontal parameters [sites with PD ≥ 4 mm (0.13, 95% CI: -0.86, 0.35) and sites with CAL ≥ 4 mm (0.11, 95% CI: -0.58, 0.35) and presence of periodontitis (1.23, 95% CI: 0.96, 1.57)] were not associated with overweight/obesity when controlled for putative confounders. CONCLUSION: A positive association was found between overweight/obesity and periodontitis (PD and CAL). However, the statistical significance disappeared in the multiple variable regression analysis, where age, sex, smoking and dental visiting behaviour were found to be key determinants of periodontitis.

Obesity, dietary sugar and dental caries in Australian adults.

OBJECTIVES: To determine the association of overweight/obesity, dental caries and dietary sugars in Australian adults. MATERIALS AND METHODS: The National Survey of Adult Oral Health (NSAOH) 2004-2006 provided data for analysis of dental caries experience. Self-reported body weight and height were used to calculate body mass index (BMI) for a subsample (n = 3,745, 89.8%) of the NSAOH data. A self-report questionnaire of 13 food items estimated the daily intake of added sugar, total sugars and total carbohydrate, using food composition estimates from the AUSNUT2011-2013. Bivariate analyses (Pearson's Chi-square with Rao-Scott adjustment and Student's t-tests) were used to determine the association of overweight/obesity, dental caries, sugar variables and putative confounders. Poisson regression models for the Decayed, Missing and Filled Teeth Index and individual measures of decayed, missing and filled teeth were constructed, with models containing BMI, dietary added sugar, total sugar and total carbohydrate, controlling for putative confounders. RESULTS: There was a positive association between dental caries experience and being overweight or obese compared with having normal weight or being underweight as well as between sugar consumption with all four dental caries outcome measures. When controlled for putative confounders where sugar consumption was identified as a key determinant, the statistical significance between dental caries experience and being overweight or obese disappeared. The demographic and socioeconomic factors associated with dental caries experience were age, sex, education, smoking status and usual reason for dental visit. CONCLUSION: Analysis of the relationship between dental caries and obesity must include data about sugar and carbohydrate consumption.

Opportunities in oral health policy for Timor-Leste.

Timor-Leste faces an urgent set of challenges in oral health. The impact of oral diseases in terms of reduced quality of life and cost of treatment is considerable. This paper reviews progress on policy recommendations since the National Oral Health Survey in 2002, the first such national survey. Few proposals have been implemented to date, owing to (i) lack of local support for the recommendations, particularly on promotion of oral health; (ii) lack of financial and budgetary provisions for oral health; (iii) lack of focus on services, human resources and dental personnel; (iv) poor focus, design and implementation of policy and planning in oral health; and (v) lack of transport to facilitate health-care workers' access to remote areas. Based on this assessment, the present paper presents a reconfigured set of policies and recommendations for oral health that take into consideration the reasons for low uptake of previous guidance. Key priorities are promotion of oral health, legislative interventions, education of the oral-health workforce, dental outreach programmes, targeted dental treatment, dental infrastructure programmes, and research and evaluation. Interventions include promotion of oral health for schoolchildren, salt fluoridation, fluoride toothpaste and banning sweet stalls and use of tobacco and betel nut in, or near, schools. Timor-Leste should strengthen the availability and quality of outreach programmes for oral health. Dental therapists and dental nurses who can supply preventive and atraumatic restorative dental care should continue to be trained, and the planned dentistry school should be established. Ongoing research and evaluation is needed to ensure that the approach being used in Timor-Leste is leading to improved outcomes in oral health.

Regional use of the Australian Chronic Disease Dental Scheme.

OBJECTIVE: To determine whether a different number and type of services were provided in Australian regional areas under the Australian Government-funded Chronic Disease Dental Scheme (CDDS). DESIGN: Retrospective analysis of administrative payments data. SETTING: Australia. PARTICIPANTS: Patients receiving dental services under the Medicare CDDS. INTERVENTIONS: The CDDS. MAIN OUTCOME MEASURES: Number and type of services. METHOD: CDDS service categories Australian Statistical Geography Standard (ASGS) regions were collected by the Australian Department of Human Services between 2008 and 2013 and compared by Australian Bureau of Statistics ASGS estimated resident regional 2011 population, and by employed number of dentists, dental specialists and dental prosthetists from the 2011 National Health Workforce Dataset. RESULTS: Number of services provided was greatest in major cities (79.0%), followed by inner regional (15.4%), outer regional (5.2%) and remote/very remote Australia (0.4%). Number of services per head of population decreased from 1.088 in major cities to 0.16 in remote/very remote areas. Number of services provided per dental practitioner showed minimal variation between major city (1672), inner (1777) and outer regional (1627) areas, but was lower in remote/very remote areas (641). Crown and bridge, periodontic, endodontic and removable prostheses per dental practitioner were most frequently supplied in the major cities, but restorative care and oral surgery were more frequently supplied in inner and outer regional areas. CONCLUSION: The number of CDDS services provided declined with regional remoteness. There was a marked difference in the utilisation of the scheme between major cities and remote/very remote areas in both number and type of service levels.

Impact of dental visiting trajectory patterns on clinical oral health and oral health-related quality of life.

BACKGROUND: Previous studies have shown variation in long-term dental visiting but little is known about the oral health outcomes of such variation. OBJECTIVE: The objective of this study is to determine the association of different dental visiting trajectories with dental clinical and oral health-related quality of life (OHRQoL) indicators. METHODS: This study utilized data from the Dunedin Multidisciplinary Health and Development Study, a continuing longitudinal study of 1,037 babies born in Dunedin (New Zealand) between April 1, 1972 and March 31, 1973. Data presented here were collected at ages 15, 18, 26, and 32 years. Three categories of dental attendance were identified in earlier research, namely: regulars (n = 285, 30.9 percent of the cohort), decliners (441, 55.9 percent), and opportunistic users (107, 13.1 percent). RESULTS: There was a statistically significant association between opportunistic dental visiting behavior and decayed missing and filled surfaces score (Beta = 3.9) as well as missing teeth because of caries (Beta = 0.7). Nonregular dental visiting trajectories were associated with higher Oral Health Impact Profile (OHIP-14) scores (Beta = 2.1) and lower self-rated oral health scores (prevalence ratio = 0.8). CONCLUSION: Long-term, postchildhood dental attendance patterns are associated with oral health in adulthood, whether defined by clinical dental indicators or OHRQoL. Improving dental visiting behavior among low socioeconomic status groups would have the greatest effect on improving oral health and reducing oral health impacts.