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BackgroundWhile inequalities in oral health are documented, little is known about the extent to which they are attributable to potentially modifiable factors. We examined the role of behavioural and dental attendance pathways in explaining oral health inequalities among adults in England, Wales and Northern Ireland.MethodsUsing nationally representative data, we analysed inequalities in self-rated oral health and number of natural teeth. Highest educational attainment, equivalised household income and occupational social class were used to derive a latent socioeconomic position (SEP) variable. Pathways were dental attendance and behaviours (smoking and oral hygiene). We used structural equation modelling to test the hypothesis that SEP influences oral health directly and also indirectly via dental attendance and behavioural pathways.ResultsLower SEP was directly associated with fewer natural teeth and worse self-rated oral health (standardised path coefficients, −0.21 (SE=0.01) and −0.10 (SE=0.01), respectively). We also found significant indirect effects via behavioural factors for both outcomes and via dental attendance primarily for self-rated oral health. While the standardised parameters of total effects were similar between the two outcomes, for number of teeth, the estimated effect of SEP was mostly direct while for self-rated oral health, it was almost equally split between direct and indirect effects.ConclusionReducing inequalities in dental attendance and health behaviours is necessary but not sufficient to tackle socioeconomic inequalities in oral health.

BackgroundHealth inequalities, including inequalities in oral health, are problems of social injustice worldwide. Evidence on this issue from low-income and middle-income countries is still needed. We aimed to examine the relationship between oral health and different dimensions of socioeconomic position (SEP) in Colombia, a very unequal society emerging from a long-lasting internal armed conflict.MethodsUsing data from the last Colombian Oral Health Survey (2014), we analysed inequalities in severe untreated caries (≥3 teeth), edentulousness (total tooth loss) and number of missing teeth. Inequalities by education, income, area-level SEP and health insurance scheme were estimated by the relative index of inequality and slope index of inequality (RII and SII, respectively).ResultsA general pattern of social gradients was observed and significant inequalities for all outcomes and SEP indicators were identified with RII and SII. Relative inequalities were larger for decay by health insurance scheme, with worse decay levels among the uninsured (RII: 2.57; 95% CI 2.11 to 3.13), and in edentulousness (RII: 3.23; 95% CI 1.88 to 5.55) and number of missing teeth (RII: 2.08; 95% CI 1.86 to 2.33) by education, with worse levels of these outcomes among the lower educated groups. Absolute inequalities followed the same pattern. Inequalities were larger in urban areas.ConclusionHealth insurance and education appear to be the main contributors to oral health inequalities in Colombia, posing challenges for designing public health strategies and social policies. Tackling health inequalities is crucial for a fairer society in a Colombian post-conflict era and our findings highlight the importance of investing in education policies and universal health care coverage.

Background Oral diseases are highly prevalent and impact on oral health-related quality of life (OHRQoL). However, time changes in OHRQoL have been scarcely investigated in the current context of general improvement in clinical oral health. This study aims to examine changes in OHRQoL between 1998 and 2009 among adults in England, and to analyse the contribution of demographics, socioeconomic characteristics and clinical oral health measures. Methods Using data from two nationally representative surveys in England, we assessed changes in the Oral Health Impact Profile-14 (OHIP-14), in both the sample overall (n=12 027) and by quasi-cohorts. We calculated the prevalence and extent of oral impacts and summary OHIP-14 scores. An Oaxaca-Blinder type decomposition analysis was used to assess the contribution of demographics (age, gender, marital status), socioeconomic position (education, occupation) and clinical measures (presence of decay, number of missing teeth, having advanced periodontitis). Results There were significant improvements in OHRQoL, predominantly among those that experienced oral impacts occasionally, but no difference in the proportion with frequent oral impacts. The decomposition model showed that 43% (–4.07/–9.47) of the decrease in prevalence of oral impacts reported occasionally or more often was accounted by the model explanatory variables. Improvements in clinical oral health and the effect of ageing itself accounted for most of the explained change in OHRQoL, but the effect of these factors varied substantially across the lifecourse and quasi-cohorts. Conclusions These decomposition findings indicate that broader determinants could be primarily targeted to influence OHRQoL in different age groups or across different adult cohorts.

Objective To compare oral health in the US and England and to assess levels of educational and income related oral health inequalities between both countries. Design Cross sectional analysis of US and English national surveys. Setting Non-institutionalised adults living in their own homes. Participants Oral health measures and socioeconomic indicators were assessed in nationally representative samples: the Adult Dental Health Survey 2009 for England, and the US National Health and Nutrition Examination Survey 2005-08. Adults aged ≥25 years were included in analyses with samples of 8719 (England) and 9786 (US) for analyses by education, and 7184 (England) and 9094 (US) for analyses by income. Main outcome measures Number of missing teeth, self rated oral health, and oral impacts on daily life were outcomes. Educational attainment and household income were used as socioeconomic indicators. Age standardised estimates of oral health were compared between countries and across educational and income groups. Regression models were fitted, and relative and absolute inequalities were measured using the relative index of inequality (RII) and the slope index of inequality (SII). Results The mean number of missing teeth was significantly higher in the US (7.31 (standard error 0.15)) than in England (6.97 (0.09)), while oral impacts were higher in England. There was evidence of significant social gradients in oral health in both countries, although differences in oral health by socioeconomic position varied according to the oral health measure used. Consistently higher RII and SII values were found in the US than in England, particularly for self rated oral health. RII estimates for self rated oral health by education were 3.67 (95% confidence interval 3.23 to 4.17) in the US and 1.83 (1.59 to 2.11) in England. In turn, SII values were 42.55 (38.14 to 46.96) in the US and 18.43 (14.01 to 22.85) in England. Conclusions The oral health of US citizens is not better than the English, and there are consistently wider educational and income oral health inequalities in the US compared with England.