Self-reported oral health predicts tooth loss after five and ten years in a population-based study

Social determinants of self-reported oral health among Sámi in Sweden

OBJECTIVES

To investigate the prevalence of poor self-reported oral health and to identify socio-demographic, socio-economic and cultural-related risk factors associated with poor oral health among Sámi in Sweden.

METHODS

A Sámi sample frame was constructed drawing from three pre-existing registers. All identified persons aged 18-84 were invited to participate in the study during February-May 2021. Among the 9249 invitations, 3779 answered the survey. The frequencies of the independent variables in terms of socio-economic, socio-demographic and cultural-related factors as well as the outcome, self-reported oral health, were calculated first. Prevalence ratios (PRs) and their 95% confidence interval (95% CI) were estimated to assess the relationship between the independent variables and the outcome.

RESULTS

Overall, 32.5% of the participants reported a poor oral health with a higher prevalence among men compared to women. Among the socio-demographic factors, being old (PR: 1.99; 95% CI: 1.59-2.51), unmarried (PR: 1.17; 95% CI: 1.03-1.33) and divorced or widow-er (PR: 1.27; 95% CI: 1.09-1.46) were statistically associated to poor self-reported oral health. Among the socio-economic factors, a low education level (PR: 1.56; 95% CI: 1.29-1.89), belonging to the poorest quintile (PR: 1.63; 95% CI: 1.35-1.96), and experiencing difficulties to make ends meet several times during the last 12 months (PR: 1.74; 95% CI: 1.51-1.99) were statistically significant related to poor oral health.

CONCLUSIONS

The self-reported oral health among Sámi in Sweden appears to be worse than that of the general Swedish population. Several socio-economic and socio-demographic factors were found to be strongly associated with poor self-reported oral health. Targeted interventions addressing these social determinants are needed to reduce inequalities in oral health among the Sámi population.

Ten-year cross-sectional and longitudinal assessment and factors associated with unfavourable self-rated oral health in older adults in the United States

OBJECTIVE

To investigate the association of demographic and socio-economic characteristics with self-reported oral health (SROH) among older adults who participated in the Health and Retirement Study (HRS) in 2008, 2018, or both, and to describe temporal changes.

METHODS

Data were from the University of Michigan's Health and Retirement Study (HRS), a nationally representative longitudinal survey of Americans aged 51 and older. Responses from participants who completed the Core HRS survey and Dental Module (DM) in 2008 (n = 1310), 2018 (n = 1330), and the "common group" at both timepoints (n = 559) were analysed. Using the common group, the outcome measure was 2018 self-rated oral health (Favourable vs Unfavourable). Potential explanatory variables included 2008 self-rated oral health (SROH), sociodemographic, and dental utilisation-related factors. Survey logistic regression analysis was used to identify factors that were associated with unfavourable 2018 SROH in 2018.

RESULTS

Unfavourable SROH prevalence was 28.5% and 31.6% in 2008 and 2018, respectively. Among the common, longitudinal group, the unfavourable prevalence remained the same, 26.1% at both timepoints. A positive association was seen between 2018 unfavourable SROH and baseline variables of 2008 unfavourable SROH, male gender, less education, and lower levels of wealth.

CONCLUSIONS

Over a quarter of participants reported unfavourable SROH. There was little change in SROH during this period. Sociodemographic factors influence the SROH of the older population. Policies and programs to promote and protect the oral health of older adults should be designed and implemented to reduce social inequalities and improve the SROH of disadvantaged older adults.

The association of periodontal disease and oral health with hypertension, NHANES 2009-2018

BACKGROUND

Hypertension is a worldwide public health problem. We sought to explore the interaction of oral health and smoking on hypertension, and periodontal disease and smoking on hypertension.

METHODS

We included 21,800 participants aged ≧ 30 years from the National Health and Nutrition Examination Survey (NHANES) 2009-2018. Information of oral health and periodontal disease were self-reported. Blood pressure was taken by trained personnel and/or physicians at mobile testing center. Multiple logistic regression was used to estimate the association between oral health, periodontal disease and the prevalence of hypertension. The effects of oral health and periodontal disease on hypertension under smoking status and age were analyzed by stratified and interaction analysis.

RESULTS

A total of 21,800 participants were investigated, including 11,017 (50.54%) in hypertensive group and 10,783 (49.46%) in non-hypertensive group. Compared with the excellent/very good of oral health, the multivariable-adjusted OR of good, fair, and poor were 1.13 (95% CI, 1.02-1.27), 1.30 (95% CI, 1.15-1.47), and 1.48 (95% CI, 1.22-1.79) (p for trend < 0.001) for hypertension, respectively. Compared without periodontal disease group, the multivariable-adjusted OR of periodontal disease for hypertension was 1.21 (95% CI ,1.09-1.35) (p for trend < 0.001). Furthermore, we found the interactions between periodontal disease and smoking, oral health and smoking, periodontal disease and age, oral health and age were p < 0.001.

CONCLUSIONS

An association between oral health and periodontal disease with the prevalence of hypertension was identified. There exists interactive effect of periodontal disease and smoking, oral health and smoking, periodontal disease and age, oral health and age on hypertension in American population over 30 years of age and older.

Self-Rated Oral Health as a Valid Measure of Oral Health Status in Adults Living in Rural Australia

It is unclear how well self-rated oral health (SROH) reflects actual oral health status in the rural Australian population. Therefore, this study aimed to compare the clinically assessed oral health status and SROH of adults living in rural Australia. The data were from 574 participants who took part in the Crossroads II cross-sectional study. Three trained and calibrated dentists evaluated the oral health status of participants based on WHO criteria. SROH was assessed with the question 'Overall, how would you rate the health of your teeth and gums?', with a score ranging from excellent = 5 to poor = 1. A logistic regression analysis (LRA) was performed, allowing us to assess factors associated with SROH. The mean age of participants was 59.2 years (SD 16.3), and 55.3% were female. The key results from the LRA show poorer SROH in those with more missing teeth (OR = 1.05; 95% CI; 1.01-1.08), more decayed teeth (OR = 1.28; 95% CI: 1.11-1.46), and more significant clinical attachment loss of periodontal tissue (6mm or more) (OR = 2.63; 95% CI: 1.29-5.38). This study found an association between negative SROH and clinical indicators used to measure poor oral health status, suggesting that self-rated oral health is an indicator of oral health status. When planning dental healthcare programs, self-reported oral health should be considered a proxy measure for oral health status.

Factors associated with self-perceived oral health in different age groups

OBJECTIVES

To determine the factors associated with self-perceived oral health (SPOH) in different age groups.

METHODS

This cross-sectional study used probabilistic samples of adolescents, adults and older adults from São Paulo State, Brazil. SPOH was assessed using a global self-rating item. Hierarchical Poisson regression models were used to determine the estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for poor SPOH and demographic and socio-economic variables, social capital, dental attendance and clinical measures. The analyses for each age group were performed separately.

RESULTS

Data from 5314 adolescents, 5815 adults and 5556 older adults were analysed. Female adolescents and adults, non-White adults and older adults with a higher educational level had worse SPOH. Adolescents, adults and older adults with lower social capital showed higher rates of poor SPOH (PR = 1.58; 95% CI: 1.27-1.97, PR = 1.20; 95% CI: 1.10-1.31 and PR = 1.26; 95% CI: 1.06-1.49, respectively). Those whose reason for last dental attendance was treatment had worse SPOH, regardless of age group. Adolescents, adults and older adults with greater number of decayed teeth had worse SPOH (PR = 1.56; 95% CI: 1.37-1.77, PR = 1.30; 95% CI: 1.22-1.38, and PR = 1.29; 95% CI: 1.17-1.42, respectively). Adolescents and adults with more missing teeth presented higher rates of poor SPOH (PR = 1.23; 95% CI: 1.04-1.44 and PR = 1.09; 95% CI: 1.02-1.16, respectively). Older adults needing a dental prosthesis had worse SPOH (PR = 2.13; 95% CI: 1.88-2.41).

CONCLUSION

There are differences in the factors associated with SPOH between age groups, and these differences reflect social inequalities in health.

Trends in Self-Rated Oral Health and Its Associations with Oral Health Status and Oral Health Behaviors in Japanese University Students: A Cross-Sectional Study from 2011 to 2019

Self-rated oral health (SROH) is a valid, comprehensive indicator of oral health status. The purpose of this cross-sectional study was to analyze how oral health behaviors and clinical oral status were associated with SROH and how they had changed over the course of nine years in Japanese university students. Data were obtained from 17,996 students who underwent oral examinations and completed self-questionnaires from 2011 to 2019. Oral status was assessed using the decayed and filled teeth scores, bleeding on probing (BOP), probing pocket depth, the Oral Hygiene Index-Simplified (OHI-S), oral health behaviors, and related factors. SROH improved from 2011 to 2019. The logistic regression model showed that university students who were female and had a high daily frequency of tooth brushing, no BOP, no decayed teeth, no filled teeth, and a low OHI-S score and were significantly more likely to report very good, good, or fair SROH. An interaction effect was observed between survey year and regular dental check-ups (year × regular dental check-ups). The improvement trend in SROH might be associated with changes in oral health behaviors and oral health status.

Periodontitis, age-related diseases and diabetes in an endocrinological outpatient setting (PARADIES): a cross-sectional analysis on predictive factors for periodontitis in a German outpatient facility

BACKGROUND

Diabetes mellitus (DM) is a risk factor for periodontitis. Data on risk-modifying factors for periodontitis in diabetes patients are limited.

AIMS

We tested whether sex, age, type of diabetes, metabolic state, comorbidities, complications, measures of well-being and quality of life are predicting periodontitis in a German diabetes outpatient cohort.

METHODS

In total, 1180 out of 1293 participating DM patients completed questionnaires on quality of life, dental hygiene and health. All patients also filled out a modified version of the periodontitis risk questionnaire by the American Association for Periodontology, from which the status of "assumed periodontitis" was deducted. In a subset of participants (n = 461), we measured or inquired the most recent Community Parodontal Index (CPI), providing an objective measure for clinically diagnosed periodontitis. For all subjects, DM history and phenotype, major metabolic parameters (HbA1c, BMI, LDL and total cholesterol levels), general health risk factors, comorbidities and medication were collected.

RESULTS

Clinically diagnosed (CPI > 2) and assumed periodontitis was detected in 60-67% of our patients. Male sex and oral health-related quality of life were associated with clinically diagnosed periodontitis. Male sex, age, smoking, dental hygiene, dental control and diabetes-related quality of life independently predicted assumed periodontitis.

CONCLUSION

In DM patients, quality of life and lifestyle factors which systemically alter microvascular and immunological functions seem to predict periodontitis. Further studies are needed for replication and for pathomechanistic clarification.

Differences in Determinants Influencing Self-Rated Oral Health in Korean and American Adults

This study aims to identify the differences in the determinants that influence self-rated oral health (SROH) among Korean and American adults aged 20 years or older and the differences in objective oral health status between Korea and the United States. It included 13,068 Koreans and 5569 Americans who participated in the seventh Korea National Health and Nutrition Examination Survey and the 2017–2018 National Health and Nutrition Examination Survey. All analyses were conducted using the SPSS 25 program. The 39% of Koreans and 27.7% of Americans rated their oral health as “poor”. The mean SROH score was lower in Korea (2.66) than in the US (3.15). Conversely, objective oral health was better among Koreans. Further, an analysis of the differences in the predictors of SROH between the two countries confirmed that there were significant differences in age, household income, education level, insurance type (none), type of smoking, self-rated health, and decayed teeth index. Government-led projects or policy-based changes that can improve objective oral health status are needed to boost SROH in Korea, and subsequent studies should examine other objective oral health indices (e.g., periodontal disease) as well as differences in sociocultural backgrounds between countries.

Self-Rated Oral Health and Associated Factors among an Adult Population in Rural India-An Epidemiological Study

BACKGROUND

To determine the perception of oral health status and its associated factors among adults living in rural areas in Karnataka state, India.

METHODS

A cross-sectional study was conducted among adults in the age group of 35-54 years old residing in villages in a southern state in India. The main outcome measure was poor self-rated oral health (SROH) among adults in rural India.

RESULTS

About 873 adults participated in the study. The prevalence of poor SROH was 15.2%. Adults of age 40-44 years, females, those in lower socioeconomic conditions, and those with high caries experience (DMFT ≥ 4) and periodontal disease were associated with poor SROH. Those who had visited a dentist in the previous one year were 1.9 times more likely to report poor oral health.

CONCLUSIONS

Nearly 15% of rural people reported poor oral health. Socioeconomic conditions, sex, age, smoking, and dental visiting were associated with poor SROH. People's perception of poor oral health was associated with severe periodontitis and DMFT ≥ 4. A dose-response relationship was observed between experience with dental caries and poor SROH.

Trends in Self-Rated Poor Oral Health Among all Age Populations in Korea from 2007 to 2015: Monitoring Expansion of Dental Insurance

OBJECTIVES

This study explored trends in self-rated poor oral health (SRPOH) from 2007 to 2015 among all age groups to monitor changes after the expansion of dental insurance.

METHODS

Repeated cross-sectional data from 2007 to 2015 Korea National Health and Nutrition Examination Surveys were collected and analysed. The respondents (n = 20,199) were categorised into four age groups: 0-19, 20-44, 45-64, and ≥65 years. The outcome variable was SRPOH, with independent variables being socioeconomic factors, sex, household income, and education. The age-sex standardised prevalence rate was calculated to determine trends, and complex samples logistic regression analysis was performed to confirm the factors affecting SRPOH.

RESULTS

Self-rated poor oral health prevalence decreased significantly from 2007 to 2009 (25%) to 2013 to 2015 (14%) in the age groups of 0-19 and 20-44 years (P < 0.05), whereas the SRPOH prevalence in the age groups of 45-64 and ≥65 years did not undergo any significant changes. Although the prevalence decreased by 6% among older adults, over 40% older women still experienced SRPOH. A sex gap increased with age but did not change over time. SRPOH was strongly associated with sex, income, and education across all age groups; the association did not notably change from 2007 to 2015.

CONCLUSIONS

Self-rated poor oral health improved among younger people in Korea. The gender gap in the prevalence increased with age and persisted over time. However, income was the strongest determinant of SRPOH among all age groups, regardless of dental insurance expansion. Further studies should aim to draw causal inferences to explore the policy impact of dental insurance benefits.

Self-rated oral health and frailty index among older Americans

OBJECTIVE

To assess the association between self-rated oral health and frailty index among older American adults aged 60 years and over.

MATERIALS AND METHODS

Data from the National Health and Nutrition and Examination Survey from 2011 to 2014 were used. Self-rated oral health was assessed based on a single question "rate the health of your teeth and gum". A frailty index of 49-items covering multiple systems was created. Age, gender, ethnicity, poverty-income ratio, education, poor nutritional intake and smoking were used as covariates. Weighted negative binomial regression was used to test the association between self-rated oral health and frailty index adjusting for the covariates.

RESULTS

A dose response relationship was observed between self-rated oral health and frailty index. The rate ratios (RR) of frailty index were 1.03 (95% CI 0.95-1.13), 1.15 (95% CI 1.05-1.25), 1.30 (95% CI 1.17-1.45) and 1.41(95% CI 1.28-1.54) for participants who rated their oral health very good, good, fair or poor, respectively, compared with those who rated their oral health excellent after adjusting for covariates.

CONCLUSION

Poorer self-rated oral health is associated with higher rates of frailty index. This highlights the importance of oral health as a predictor of frailty and the adequacy of using self-rated oral health in health surveys and clinical practices when conducting a comprehensive clinical oral examination is not feasible.

Changes in income-related inequalities in oral health status in Ontario, Canada

OBJECTIVES

Oral health inequalities impose a substantial burden on society and the healthcare system across Canadian provinces. Monitoring these inequalities is crucial for informing public health policy and action towards reducing inequalities; however, trends within Canada have not been explored. The objectives of this study are as follows: (a) to assess trends in income-related inequalities in oral health in Ontario, Canada's most populous province, from 2003 to 2014, and (b) to determine whether the magnitude of such inequalities differ by age and sex.

METHODS

Data representative of the Ontario population aged 12 years and older were sourced from the Canadian Community Health Survey (CCHS) cycles 2003 (n = 36,182), 2007/08 (n = 36,430) and 2013/14 (n = 41,258). Income-related inequalities in poor self-reported oral health (SROH) were measured using the Slope Index of Inequality (SII) and Relative Index of Inequality (RII) and compared across surveys. All analyses were sample-weighted and performed with STATA 15.

RESULTS

The prevalence of poor SROH was stable across the CCHS cycles, ranging from 14.1% (2003 cycle) to 14.8% (2013/14 cycle). SII estimates did not change (18.7-19.0), while variation in RII estimates was observed over time (2003 = 3.85; 2007/08 = 4.47; 2013/14 = 4.02); differences were not statistically significant. SII and RII were lowest among 12- to 19-year-olds and gradually higher among 20- to 64-year-olds. RII was slightly higher among females in all survey years.

CONCLUSION

Absolute and relative income-related inequalities in SROH have persisted in Ontario over time and are more severe among middle-aged adults. Therefore, oral health inequalities in Ontario require attention from key stakeholders, including governments, regulators and health professionals.

Examining Bias and Reporting in Oral Health Prediction Modeling Studies

Recent efforts to improve the reliability and efficiency of scientific research have caught the attention of researchers conducting prediction modeling studies (PMSs). Use of prediction models in oral health has become more common over the past decades for predicting the risk of diseases and treatment outcomes. Risk of bias and insufficient reporting present challenges to the reproducibility and implementation of these models. A recent tool for bias assessment and a reporting guideline—PROBAST (Prediction Model Risk of Bias Assessment Tool) and TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis)—have been proposed to guide researchers in the development and reporting of PMSs, but their application has been limited. Following the standards proposed in these tools and a systematic review approach, a literature search was carried out in PubMed to identify oral health PMSs published in dental, epidemiologic, and biostatistical journals. Risk of bias and transparency of reporting were assessed with PROBAST and TRIPOD. Among 2,881 papers identified, 34 studies containing 58 models were included. The most investigated outcomes were periodontal diseases (42%) and oral cancers (30%). Seventy-five percent of the studies were susceptible to at least 4 of 20 sources of bias, including measurement error in predictors ( n = 12) and/or outcome ( n = 7), omitting samples with missing data ( n = 10), selecting variables based on univariate analyses ( n = 9), overfitting ( n = 13), and lack of model performance assessment ( n = 24). Based on TRIPOD, at least 5 of 31 items were inadequately reported in 95% of the studies. These items included sampling approaches ( n = 15), participant eligibility criteria ( n = 6), and model-building procedures ( n = 16). There was a general lack of transparent reporting and identification of bias across the studies. Application of the recommendations proposed in PROBAST and TRIPOD can benefit future research and improve the reproducibility and applicability of prediction models in oral health.