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      Does the contribution of modifiable risk factors on oral health inequities differ by experience of negative life events among Indigenous Australian adults?

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          Abstract

          Objective

          Although the prevalence of poor self-rated oral health and experience of negative life events among Indigenous adults is high, the contribution of modifiable risk factors is unknown. We aimed to estimate the contribution of modifiable risk factors in poor self-rated oral health among Indigenous Australian adults with high and low experience of negative life events using decomposition analysis.

          Methods

          The study utilised a cross-sectional design, with data from a large convenience study of Indigenous adults in South Australia. Participants were stratified based on a median split of negative life events in the last 12 months. The outcome was the proportion of fair/poor self-rated oral health (SROH). Independent variables included experience of racism, sex, age, geographic location, car ownership, and time since last dental visit.

          Results

          Of the 1011 participants, the proportion with fair poor self-rated oral health was 33.5% (95% CI 30.5 to 36.4) and the proportion who had experienced 3+ negative life events in the past 12 months was 47.3% (95% CI 43.7 to 50.9). More than half the contribution in fair/poor self-rated oral health among Indigenous adults with a higher magnitude of negative life events was from experience of racism (55.3%, p<0.001), followed by residential location (19.9%), sex (9.7%) and car ownership (9.8%).

          Conclusions

          The contributions of modifiable risk factors in poor self-rated oral health among Indigenous adults with different exposures to negative life events differed substantially. Targets to reduce racism will decrease oral health inequities for both groups, however Indigenous adults who have experienced substantial negative life events require additional focus on provision of culturally safe dental care.

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          Most cited references24

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          A detailed explanation and graphical representation of the Blinder-Oaxaca decomposition method with its application in health inequalities

          This paper introduces the Blinder-Oaxaca decomposition method to be applied in explaining inequality in health outcome across any two groups. In order to understand every aspect of the inequality, multiple regression model can be used in a way to decompose the inequality into contributing factors. The method can therefore be indicated to what extent of the difference in mean predicted outcome between two groups is due to differences in the levels of observable characteristics (acceptable and fair). Assuming the identical characteristics in the two groups, the remaining inequality can be due to differential effects of the characteristics, maybe discrimination, and unobserved factors that not included in the model. Thus, using the decomposition methods can identify the contribution of each particular factor in moderating the current inequality. Accordingly, more detailed information can be provided for policy-makers, especially concerning modifiable factors. The method is theoretically described in detail and schematically presented. In the following, some criticisms of the model are reviewed, and several statistical commands are represented for performing the method, as well. Furthermore, the application of it in the health inequality with an applied example is presented.
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            Development and validation of the Measure of Indigenous Racism Experiences (MIRE)

            Background In recent decades there has been increasing evidence of a relationship between self-reported racism and health. Although a plethora of instruments to measure racism have been developed, very few have been described conceptually or psychometrically Furthermore, this research field has been limited by a dearth of instruments that examine reactions/responses to racism and by a restricted focus on African American populations. Methods In response to these limitations, the 31-item Measure of Indigenous Racism Experiences (MIRE) was developed to assess self-reported racism for Indigenous Australians. This paper describes the development of the MIRE together with an opportunistic examination of its content, construct and convergent validity in a population health study involving 312 Indigenous Australians. Results Focus group research supported the content validity of the MIRE, and inter-item/scale correlations suggested good construct validity. A good fit with a priori conceptual dimensions was demonstrated in factor analysis, and convergence with a separate item on discrimination was satisfactory. Conclusion The MIRE has considerable utility as an instrument that can assess multiple facets of racism together with responses/reactions to racism among indigenous populations and, potentially, among other ethnic/racial groups.
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              Experiences of racism among Aboriginal and Torres Strait Islander adults living in the Australian state of Victoria: a cross-sectional population-based study

              Background Racism is a key determinant of the health of Indigenous Australians that may explain the unremitting gap in health and socioeconomic outcomes between Indigenous and non-Indigenous Australians. We quantified the population-based prevalence of experiences of racism of Indigenous adults in the Australian state of Victoria and investigated whether this was independent of social determinants and lifestyle risk factors. Methods We combined data from the 2011, 2012 and 2014 Victorian Population Health Surveys to obtain a sample size of 33,833 Victorian adults, including 387 Indigenous adults. The survey is a cross-sectional, population-based, computer-assisted telephone interview survey conducted annually. Using logistic regression, experiences of racism was the dependent variable and Indigenous status the primary independent variable of interest. Secondary independent variables included age, sex, rurality, socioeconomic status, social capital, and lifestyle risk factors. Results Indigenous Victorian adults were four times more likely than their non-Indigenous counterparts to have experienced racism in the preceding 12 months; odds ratio (OR) = 4.3 (95% confidence interval (CI): 3.2–5.8). Controlling for social determinants and lifestyle risk factors attenuated, but did not eliminate, the association between experiences of racism and Indigenous status; OR = 3.1 (95% CI: 2.2–4.3). The social determinants of age and social trust made the largest contribution to the attenuation of the association. Education also had a large impact on the association, but in the opposite direction, suggesting that a low level of education may be protective against experiences of racism. When the non-Indigenous comparison group consisted of adults of mainly Anglo-Celtic origin, Indigenous adults were seven times more likely (OR = 7.2; 5.3–9.7) to have experienced racism. Conclusions Racism directed against Indigenous Victorians is significant and cannot be ascribed to any specific attributes such as socioeconomic status or lifestyle risk factors. We argue that a human rights-based approach to policy-making for the elimination of systemic and interpersonal racism offers an opportunity and viable alternative to current policy-making, that continues to be dominated by a paternalistic approach that reinforces racism and the resulting inequities. Please note Throughout this document, the term Indigenous is taken to include people of Aboriginal and Torres Strait Islander descent. While not our preferred term, Indigenous is used in preference to Aboriginal and Koori as not all Indigenous people living in Victoria are Aboriginal or Koori. We recognise that, with the exception of the term ‘Koori’, these terms are Eurocentric having been imposed upon a people of many nations with distinct languages and cultures. The use of such terms is akin to referring to the peoples of the continent of Europe as ‘Europeans’.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draft
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 June 2023
                2023
                : 18
                : 6
                : e0286697
                Affiliations
                [1 ] Australian Research Centre for Population Oral Health, University of Adelaide, Adelaide, South Australia, Australia
                [2 ] School of Human and Social Science, Faculty of Arts and Education, Deakin University, Melbourne, Australia
                The University of Queensland, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9839-9280
                https://orcid.org/0000-0003-4759-3918
                Article
                PONE-D-23-05310
                10.1371/journal.pone.0286697
                10249817
                90008fdc-146e-4af8-b37d-49fccae45ca8
                © 2023 Jamieson et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 February 2023
                : 20 May 2023
                Page count
                Figures: 0, Tables: 4, Pages: 9
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: APP1120215
                Award Recipient :
                This study was funded by the Australia’s National Health and Medical Research Council (APP1120215). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Sociology
                Social Discrimination
                Racial Discrimination
                Medicine and Health Sciences
                Oral Medicine
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                Indigenous Australian people
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                Medical Risk Factors
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                Australia
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                Custom metadata
                Data cannot be shared publicly because of ethics stipulations. Data are available from the University of Adelaide Human Ethics Committee (contact +61 8 8313 4611) for researchers who meet the criteria for access to confidential data.

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