Our findings may inform oral health policy. Long-term policies designed to improve the oral health of Americans could work best when supported by policies designed to reduce levels of income inequality, and thereby, may reduce oral health inequalities. Further research is needed to examine the effectiveness of such policies.

Poor oral health is influenced by a variety of individual and structural factors. It disproportionately impacts socially marginalized people, and has implications for how one is perceived by others. This study assesses the degree to which residents of Canada’s most populated province, Ontario, recognize income-related oral health inequalities and the degree to which Ontarians blame the poor for these differences in health, thus providing an indirect assessment of the potential for prejudicial treatment of the poor for having bad teeth. Data were used from a provincially representative survey conducted in Ontario, Canada in 2010 (n=2006). The survey asked participants questions about fifteen specific conditions (e.g. dental decay, heart disease, cancer) for which inequalities have been described in Ontario, and whether participants agreed or disagreed with various statements asserting blame for differences in health between social groups. Binary logistic regression was used to determine whether assertions of blame for differences in health are related to perceptions of oral health conditions. Oral health conditions are more commonly perceived as a problem of the poor when compared to other diseases and conditions. Among those who recognize that oral conditions more commonly affect the poor, particular socioeconomic and demographic characteristics predict the blaming of the poor for these differences in health, including sex, age, education, income, and political voting intention. Social and economic gradients exist in the recognition of, and blame for, oral health conditions among the poor, suggesting a potential for discrimination amongst socially marginalized groups relative to dental appearance. Expanding and improving programs that are targeted at improving the oral and dental health of the poor may create a context that mitigates discrimination.

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Societies exhibiting higher levels of economic inequality experience poorer health outcomes, and the proposed pathways used to explain these patterns are also relevant to oral health. This study therefore examines the relationship between the level of income inequality and the oral health and dental care services utilization of residents from eleven Canadian metropolitan areas. We calculated Pearson correlation coefficients (r) between each metropolitan area's Gini coefficient (used as a proxy for income inequality, calculated from 2006 Canadian census data) and each area's experience of dental pain, self-reported oral health, and use of dental care services (provided by data from the 2003 Canadian Community Health Survey). Greater levels of income inequality in the selected metropolitan areas were related to an increased likelihood of residents self-reporting their oral health as poor/fair and reporting a prolonged absence from visiting a dentist. There was, however, no relationship between the level of income inequality and the likelihood of respondents reporting a recent toothache, tooth sensitivity, or jaw pain. Policies designed to improve the oral health of the population, and Canadians' access to dental care generally, may therefore work best when supported by policies that promote greater economic equality within Canada.

The use of prescription opioids has increased dramatically in Canada in recent decades. This rise in opioid prescriptions has been accompanied by increasing rates of opioid-related abuse and addiction, creating serious public health challenges in British Columbia (BC), one of Canada's most populated provinces. Our study explores the relationship between dental pain and prescription opioid use among residents in BC. We used data from the 2003 Canadian Community Health Survey (CCHS), which asked respondents about their use of specific analgesic medications, including opioids, and their history of tooth pain in the past month. We used logistic regression, controlling for potential confounding variables, to identify the predictive value of socioeconomic factors, oral health-related variables, and dental care utilization indicators. The Relative Index of Inequality (RII) was calculated to assess the magnitude of socioeconomic inequalities in the use of particular analgesics by incorporating income-derived ridit values into a binary logistic regression model. Our results showed that conventional non-opioid based analgesics (such as aspirin or Tylenol) and opioids were more likely to be used by those who had experienced a toothache in the past month than those who did not report experiencing a toothache. The use of non-opioid painkillers to relieve tooth pain was associated with more recent and more frequent dental visits, better self-reported oral health, and a greater income. Conversely, a lower household income was associated with a preference for opioid use to relieve tooth pain. The RII for recent opioid use and conventional painkiller use were 2.06 (95% CI: 1.75–2.37) and 0.62 (95% CI: 0.35–0.91), respectively, among those who experienced recent tooth pain, suggesting that adverse socioeconomic conditions may influence the need for opioid analgesics to relieve dental pain. We conclude that programs and policies targeted at improving the dental health of the poor may help to reduce the use of prescription opioids, thereby narrowing health inequalities within the broader society.