Ethnic Inequalities In Health Research Articles

Incorporating Anti-racist Principles Throughout the Research Lifecycle: A Position Statement from the Society of General Internal Medicine (SGIM).

Biomedical research has advanced medicine but also contributed to widening racial and ethnic health inequities. Despite a growing acknowledgment of the need to incorporate anti-racist objectives into research, there remains a need for practical guidance for recognizing and addressing the influence of ingrained practices perpetuating racial harms, particularly for general internists. Through a review of the literature, and informed by the Research Lifecycle Framework, this position statement from the Society of General Internal Medicine presents a conceptual framework suggesting multi-level systemic changes and strategies for researchers to incorporate an anti-racist perspective throughout the research lifecycle. It begins with a clear assertion that race and ethnicity are socio-political constructs that have important consequences on health and health disparities through various forms of racism. Recommendations include leveraging a comprehensive approach to integrate anti-racist principles and acknowledging that racism, not race, drives health inequities. Individual researchers must acknowledge systemic racism's impact on health, engage in self-education to mitigate biases, hire diverse teams, and include historically excluded communities in research. Institutions must provide clear guidelines on the use of race and ethnicity in research, reject stigmatizing language, and invest in systemic commitments to diversity, equity, and anti-racism. National organizations must call for race-conscious research standards and training, and create measures to ensure accountability, establishing standards for race-conscious research for research funding. This position statement emphasizes our collective responsibility to combat systemic racism in research, and urges a transformative shift toward anti-racist practices throughout the research cycle.

The prevalence of common mental disorders across 18 ethnic groups in Britain during the COVID-19 pandemic: Evidence for Equality National Survey (EVENS)

BackgroundThe COVID-19 pandemic negatively impacted mental health in the general population in Britain. Ethnic minority people suffered disproportionately, in terms of health and economic outcomes, which may contribute to poorer mental health. We compare the prevalence of depression and anxiety across 18 ethnic groups in Britain during the COVID-19 pandemic. MethodsSecondary analysis of cross-sectional data (February–November 2021) from 12,161 participants aged 18–60 years old (N with data on outcomes = 11,540 for depression & 11,825 for anxiety), obtained from the Evidence for Equality National Survey (EVENS). Data were weighted to account for selection bias and coverage bias. Weighted regression models examined ethnic differences in depression (Centre for Epidemiologic Studies Depression Scale) and anxiety (Generalised Anxiety Disorder-7). Effect modification analyses explored whether ethnic differences in outcomes were consistent within age and sex sub-groups. ResultsCompared to White British people, greater odds of anxiety caseness (and greater anxiety symptoms) were observed for Arab (OR = 2.57; 95 % CI = 1.35–4.91), Mixed White and Black Caribbean (1.57; 1.07–2.30), any other Black (2.22, 1.28–3.87) and any other Mixed (1.58; 1.08–2.31) ethnic groups. Lower odds of depression caseness (and lower depressive symptoms) were identified for Chinese (0.63; 0.46–0.85), Black African (0.60; 0.46–0.79), and any other Asian (0.55; 0.42–0.72) ethnic groups. LimitationsCross-sectional data limits the opportunity to identify changes in ethnic inequalities in mental health over time. ConclusionsWe have identified certain ethnic groups who may require more targeted mental health support to ensure equitable recovery post-pandemic. Despite finding lower levels of depression for some ethnic groups, approximately one third of people within each ethnic group met criteria for depression.

Current opinion: Racial and ethnic health disparities in multiple sclerosis: considering the social determinants of health.

We discuss racial and ethnic disparities in multiple sclerosis (MS), outcomes, and social determinants of health (SDoH). We also provide essential considerations needed to bridge the gap in inequalities, including broader representation of racial and ethnic people in clinical trials and research in general and the inclusion of better measures of living conditions. The incidence and prevalence of MS have become more diverse in the USA. There is increased recognition that racial and ethnic health disparities and inequities exist due to adverse social conditions. Clinical trials have failed to be inclusive and diverse. Training in health disparity is an essential priority of funding sources, and designing clinical trials that consider the barriers these populations face can close significant gaps. The incidence, prevalence, and awareness of MS have seen an incline in diverse racial and ethnic populations. Health disparities exist in MS with Black, Hispanic, and indigenous populations appearing to have worse outcomes. SDoH play a significant role in causing these health disparities. Accessibility to clinical trials and treatment are barriers these populations face. Strategic and earnest interventions considering SDoH are critically needed to develop solutions that collectively improve health and MS care for all.

Race and Ethnicity Reporting in Occupational Therapy Research Among Autistic Youth.

Historically marginalized racial and ethnic groups are underrepresented in autism research broadly; however, patterns of inclusion in occupational therapy research are unknown.In this secondary data analysis, we examined race and ethnicity reporting across articles included in a systematic review of evidence related to occupational therapy practice with autistic individuals <18 years (2013-2021).Two team members reached >90% interrater coding agreement in race and ethnicity reporting across articles in ADLs/IADLs, education/work, play, sleep, and social participation in clinics, homes/communities, and schools.Intervention outcomes of ADL/IADLs (66.7%) and play (66.7%) had low rates of reporting, while social participation in schools (100%) and education/work (100%) had higher rates of reporting. Sample diversity was greatest among research in schools and most limited in clinic-based settings.Systemic racism that limits individuals' participation in occupational therapy research perpetuates racial and ethnic health inequities among autistic children and adolescents.

Adapting an equity-focused implementation process framework with a focus on ethnic health inequities in the Aotearoa New Zealand context

BackgroundHealth intervention implementation in Aotearoa New Zealand (NZ), as in many countries globally, usually varies by ethnicity. Māori (the Indigenous peoples of Aotearoa) and Pacific peoples are less likely to receive interventions than other ethnic groups, despite experiencing persistent health inequities. This study aimed to develop an equity-focused implementation framework, appropriate for the Aotearoa NZ context, to support the planning and delivery of equitable implementation pathways for health interventions, with the intention of achieving equitable outcomes for Māori, as well as people originating from the Pacific Islands.MethodsA scoping review of the literature to identify existing equity-focused implementation theories, models and frameworks was undertaken. One of these, the Equity-based framework for Implementation Research (EquIR), was selected for adaptation. The adaptation process was undertaken in collaboration with the project’s Māori and consumer advisory groups and informed by the expertise of local health equity researchers and stakeholders, as well as the international implementation science literature.ResultsThe adapted framework’s foundation is the principles of Te Tiriti o Waitangi (the written agreement between Māori rangatira (chiefs) and the British Crown), and its focus is whānau (extended family)-centred implementation that meets the health and wellbeing aspirations, priorities and needs of whānau. The implementation pathway comprises four main steps: implementation planning, pathway design, monitoring, and outcomes and evaluation, all with an equity focus. The pathway is underpinned by the core constructs of equitable implementation in Aotearoa NZ: collaborative design, anti-racism, Māori and priority population expertise, cultural safety and values-based. Additionally, the contextual factors impacting implementation, i.e. the social, economic, commercial and political determinants of health, are included.ConclusionsThe framework presented in this study is the first equity-focused process-type implementation framework to be adapted for the Aotearoa NZ context. This framework is intended to support and facilitate equity-focused implementation research and health intervention implementation by mainstream health services.

The stories about racism and health: the development of a framework for racism narratives in medical literature using a computational grounded theory approach

IntroductionThe scientific study of racism as a root cause of health inequities has been hampered by the policies and practices of medical journals. Monitoring the discourse around racism and health inequities (i.e., racism narratives) in scientific publications is a critical aspect of understanding, confronting, and ultimately dismantling racism in medicine. A conceptual framework and multi-level construct is needed to evaluate the changes in the prevalence and composition of racism over time and across journals.ObjectiveTo develop a framework for classifying racism narratives in scientific medical journals.MethodsWe constructed an initial set of racism narratives based on an exploratory literature search. Using a computational grounded theory approach, we analyzed a targeted sample of 31 articles in four top medical journals which mentioned the word ‘racism’. We compiled and evaluated 80 excerpts of text that illustrate racism narratives. Two coders grouped and ordered the excerpts, iteratively revising and refining racism narratives.ResultsWe developed a qualitative framework of racism narratives, ordered on an anti-racism spectrum from impeding anti-racism to strong anti-racism, consisting of 4 broad categories and 12 granular modalities for classifying racism narratives. The broad narratives were “dismissal,” “person-level,” “societal,” and “actionable.” Granular modalities further specified how race-related health differences were related to racism (e.g., natural, aberrant, or structurally modifiable). We curated a “reference set” of example sentences to empirically ground each label.ConclusionWe demonstrated racism narratives of dismissal, person-level, societal, and actionable explanations within influential medical articles. Our framework can help clinicians, researchers, and educators gain insight into which narratives have been used to describe the causes of racial and ethnic health inequities, and to evaluate medical literature more critically. This work is a first step towards monitoring racism narratives over time, which can more clearly expose the limits of how the medical community has come to understand the root causes of health inequities. This is a fundamental aspect of medicine’s long-term trajectory towards racial justice and health equity.

Health and social care experience and research perception of different ethnic minority populations in the East Midlands, United Kingdom (REPRESENT study)

AbstractIntroductionEthnic minority populations experience significant health and social care disparities; despite experiencing a greater burden of diseases, these groups are underrepresented in health and social care research. Consequently, related research can be less applicable to these population groups. The REPRESENT study aims to explore the health and social care experiences of ethnic minorities and other minoritised populations, their research interests and appropriate research practices.MethodsFocus groups and semistructured interviews were conducted between May and September 2022 with members of a number of ethnic minority communities in England. Data were audio recorded, transcribed and thematically coded using NVivo 12. Rigour was determined through extensive sampling, iterative data collection and analysis.FindingsFifty‐two ethnic minority members were engaged in group interviews and one‐to‐one interviews. Participants included representatives of the following groups: African Caribbean, Eastern European, Gypsy Travellers, Lesbian, Gay, Bisexual, Transgender, Queer, Intersex and Asexual+, Refugee/Asylum Seekers, Somali and South Asian communities. Interviews were also conducted with ethnic minority healthcare providers and researchers. Three overarching categories were identified: health information, medical service experiences, health and social care concerns and health research. Health and social care services challenges were mostly attributed to discrimination, delayed services, poor cultural relevance and language and cultural barriers. The most influential information sources were local community organisations and word‐of‐mouth. The main health and social care concerns were chronic long‐term health conditions, mental health, maternal health and child development. Recommendations for research involved understanding the motivations for participation, improving communication and empowering communities. Top research priorities were long‐term health conditions, health promotion and education, early care interventions and understanding community needs.InterpretationDiscrimination and bias in health and social care provision have severe implications for worsening ethnic health inequalities. Healthcare commissioning authorities and policymakers can leverage the preference of ethnic minority groups for pharmacy services and community organisations to improve access to care. Improving research interest and engagement requires understanding individual community needs, community sensitivity, research relevance and cultural appropriateness.Patient or Public ContributionMembers of ethnic minority Patient and Public Involvement and Engagement group and Community Advisory Board supported the REPRESENT study design, conceptualisation and report development.

Individual and community-level risk factors for maternal morbidity and mortality among Native American women in the USA: protocol for systematic review

IntroductionIncidents of maternal morbidity and mortality (MMM) continue to rise in the USA. Significant racial and ethnic health inequities exist, with Native American (NA) women being three to four times...

Ensuring an Equitable Response to the COVID-19 Pandemic in Pima County, Arizona, Through Local Political Support and Policy Action

In the United States, persistent health disparities and preexisting gaps in local public health infrastructure led to disproportionate effects of COVID-19 across populations at high risk of COVID-19–related morbidity and mortality. In Pima County, Arizona, equity-centered local government engagement and policy action, multipronged community-based responses, and expansion of historically underfunded local public health infrastructure improved equitable outcomes and addressed multiple systemic factors. This case study examined Pima County’s 3-pronged public health response to COVID-19 using an equity-based approach. As a result, COVID-19 was the third leading cause of death in Pima County in 2021, compared with being the leading cause of death in Arizona. Strong political support from local elected officials created the authorizing environment for the Pima County Health Department to advance health equity. Passage of a resolution in December 2020, which framed the racial and ethnic health and socioeconomic inequities as a public health crisis, supported innovation and fostered the creation of an Office of Health Equity, a public health policy program, and a data and informatics program. New structures for community engagement were formed, including an ethics committee and a community advisory committee, to ensure a formalized process for community participation in public health actions, during and after the pandemic response. Key lessons learned included (1) the importance of local government support, codified to allow implementation of creative strategies; (2) opening avenues for community voice and engagement in planning and implementation to respond in areas of greatest need; and (3) having flexible funding to sustain an equitable response.

Nurture Early for Optimal Nutrition (NEON) participatory learning and action women’s groups to improve infant feeding and practices in South Asian infants: pilot randomised trial study protocol

IntroductionFeeding practices developed in early life can impact a child’s nutrition, growth, dental health, cognitive development and lifetime risk of chronic diseases. Substantial evidence suggests ethnic health inequalities, and non-recommended...

Quality of ethnicity data within Scottish health records and implications of misclassification for ethnic inequalities in severe COVID-19: a national linked data study.

We compared the quality of ethnicity coding within the Public Health Scotland Ethnicity Look-up (PHS-EL) dataset, and other National Health Service datasets, with the 2011 Scottish Census. Measures of quality included the level of missingness and misclassification. We examined the impact of misclassification using Cox proportional hazards to compare the risk of severe coronavirus disease (COVID-19) (hospitalization & death) by ethnic group. Misclassification within PHS-EL was higher for all minority ethnic groups [12.5 to 69.1%] compared with the White Scottish majority [5.1%] and highest in the White Gypsy/Traveller group [69.1%]. Missingness in PHS-EL was highest among the White Other British group [39%] and lowest among the Pakistani group [17%]. PHS-EL data often underestimated severe COVID-19 risk compared with Census data. e.g. in the White Gypsy/Traveller group the Hazard Ratio (HR) was 1.68 [95% Confidence Intervals (CI): 1.03, 2.74] compared with the White Scottish majority using Census ethnicity data and 0.73 [95% CI: 0.10, 5.15] using PHS-EL data; and HR was 2.03 [95% CI: 1.20, 3.44] in the Census for the Bangladeshi group versus 1.45 [95% CI: 0.75, 2.78] in PHS-EL. Poor quality ethnicity coding in health records can bias estimates, thereby threatening monitoring and understanding ethnic inequalities in health.

How is ethnicity reported, described, and analysed in health research in the UK? A bibliographical review and focus group discussions with young refugees

BackgroundThe ethnicity data gap pertains to 3 major challenges to address ethnic health inequality: 1) Under-representation of ethnic minorities in research; 2) Poor data quality on ethnicity; 3) Ethnicity data not being meaningfully analysed. These challenges are especially relevant for research involving under-served migrant populations in the UK. We aimed to review how ethnicity is captured, reported, analysed and theorised within policy-relevant research on ethnic health inequities.MethodsWe reviewed a selection of the 1% most highly cited population health papers that reported UK data on ethnicity, and extracted how ethnicity was recorded and analysed in relation to health outcomes. We focused on how ethnicity was obtained (i.e. self reported or not), how ethnic groups were categorised, whether justification was provided for any categorisation, and how ethnicity was theorised to be related to health.We held three 1-h-long guided focus groups with 10 young people from Nigeria, Turkistan, Syria, Yemen and Iran. This engagement helped us shape and interpret our findings, and reflect on.1) How should ethnicity be asked inclusively, and better recorded?2) Does self-defined ethnicity change over time or context? If so, why?ResultsOf the 44 included papers, most (19; 43%) used self-reported ethnicity, categorised in a variety of ways. Of the 27 papers that aggregated ethnicity, 13 (48%) provided justification. Only 8 of 33 papers explicitly theorised how ethnicity related to health.The focus groups agreed that 1) Ethnicity should not be prescribed by others; individuals could be asked to describe their ethnicity in free-text which researchers could synthesise to extract relevant dimensions of ethnicity for their research; 2) Ethnicity changes over time and context according to personal experience, social pressure, and nationality change; 3) Migrants and non-migrants’ lived experience of ethnicity is not fully inter-changeable, even if they share the same ethnic category.ConclusionsEthnicity is a multi-dimensional construct, but this is not currently reflected in UK health research studies, where ethnicity is often aggregated and analysed without justification. Researchers should communicate clearly how ethnicity is operationalised for their study, with appropriate justification for clustering and analysis that is meaningfully theorised. We can only start to tackle ethnic health inequity by treating ethnicity as rigorously as any other variables in our research.

Proposing A Racism-Conscious Approach To Policy Making And Health Care Practices.

Racial and ethnic health inequities are driven by multiple social and political factors. Race-neutral policies that overlook the role of racism in policy and in disparities may also contribute to inequities. In response, one broad policy-making approach has been to craft race-based policies that attempt to improve outcomes explicitly for specific racial groups. However, race-based policies can be politically infeasible. We propose a racism-conscious approach to policy making and health care practices that addresses racism and advances health equity. Using postacute and long-term care policies as a backdrop, we identify five key steps to creating racism-conscious policies that rest on continuous community engagement and policy evaluation. The proposed racism-conscious framework can be used to develop a new health policy or to redesign an existing policy, and it can work for federal, state, local, and organizational policies, practices, or both.

Ethnic differences in multimorbidity after accounting for social-economic factors, findings from The Health Survey for England.

Social-economic factors and health behaviours may be driving variation in ethnic health inequalities in multimorbidity including among distinct ethnic groups. Using the cross-sectional nationally representative Health Surveys for England 2011-18 (N = 54438, aged 16+), we performed multivariable logistic regression on the odds of having general multimorbidity (≥2 longstanding conditions) by ethnicity [British White (reference group), White Irish, Other White, Indian, Pakistani, Bangladeshi, Chinese, African, Caribbean, White mixed, Other Mixed], adjusting for age, sex, education, area deprivation, obesity, smoking status and survey year. This was repeated for cardiovascular multimorbidity (N = 37148, aged 40+: having ≥2 of the following: self-reported diabetes, hypertension, heart attack or stroke) and multiple cardiometabolic risk biomarkers (HbA1c ≥6.5%, raised blood pressure, total cholesterol ≥5mmol/L). Twenty percent of adults had general multimorbidity. In fully adjusted models, compared with the White British majority, Other White [odds ratio (OR) = 0.63; 95% confidence interval (CI) 0.53-0.74], Chinese (OR = 0.58, 95% CI 0.36-0.93) and African adults (OR = 0.54, 95% CI 0.42-0.69), had lower odds of general multimorbidity. Among adults aged 40+, Pakistani (OR = 1.27, 95% CI 0.97-1.66; P = 0.080) and Bangladeshi (OR = 1.75, 95% CI 1.16-2.65) had increased odds, and African adults had decreased odds (OR = 0.63, 95% CI 0.47-0.83) of general multimorbidity. Risk of cardiovascular multimorbidity was higher among Indian (OR = 3.31, 95% CI 2.56-4.28), Pakistani (OR = 3.48, 95% CI 2.52-4.80), Bangladeshi (OR = 3.67, 95% CI 1.98-6.78), African (OR = 1.61, 95% CI 1.05-2.47), Caribbean (OR = 2.18, 95% CI 1.59-2.99) and White mixed (OR = 1.98, 95% CI 1.14-3.44) adults. Indian adults were also at risk of having multiple cardiometabolic risk biomarkers. Ethnic inequalities in multimorbidity are independent of social-economic factors. Ethnic minority groups are particularly at risk of cardiovascular multimorbidity, which may be exacerbated by poorer management of cardiometabolic risk requiring further investigation.

Addressing ethnic and global health inequalities in the era of artificial intelligence healthcare models: a call for responsible implementation.

Addressing ethnic and global health inequalities in the era of artificial intelligence healthcare models: a call for responsible implementation.

Patient patients: middle-aged British Pakistani women and the intuition of limits to care

This paper examines the affective inequalities underpinning the extensive responsibilities of care that are shouldered by chronically ill ­middle-aged British Pakistani women. In the context of ethnic health inequalities, chronic illness and premature ageing are ubiquitous. Further, mid-life generates gendered pinchpoints in the dynamics of care. The paper draws on extended conversations with women over seven/eight years and tracks their unsettled perspectives on sabar (patient endurance). Middle-aged women described how, over the long haul of living alongside chronic illness, they intuited that they must place some limits on caring for others, and that care required self-care – not in a biomedical sense, but in the sense of attention to their own bodily and relational needs. The paper extends anthropological critiques of Levinas’s philosophy of infinite responsibilities to care, tracking how changes at several temporal scales – the life course, intergenerational re-negotiations – affect care. While social transformations of gender, and the proliferation of neoliberal discourses on self-care do affect the traction of normative notions of selfless care for others, the paper locates women’s changing perspectives on sabar primarily in the provocations of everyday life.

Ethnic inequalities in health and care show diversity in need and disadvantage

Ethnic inequalities in UK healthcare and outcomes occur across the entire life course. Analysis by broad ethnic groups can mask substantial variation within them, and higher quality data are needed,...

Time trends in ethnic inequalities in child health and nutrition: analysis of 59 low and middle-income countries

BackgroundAlthough ethnicity is a key social determinant of health, there are no global analyses aimed at identifying countries that succeeded in reducing ethnic gaps in child health and nutrition.MethodsWe identified 59 low and middle-income countries with at least two surveys since 2010 providing information on ethnicity or language and on three outcomes: under-five mortality, child stunting prevalence and a composite index (CCI) based on coverage with eight maternal and child health interventions. Firstly, we calculated population-weighted and unweighted measures of inequality among ethnic or language groups within each country. These included the mean difference from the overall national mean (absolute inequality), mean ratio relative to the overall mean (relative inequality), and the difference and ratio between the best- and worst-performing ethnic groups. Second, we examined annual changes in these measures in terms of annual absolute and relative changes. Thirdly, we compared trends for each of the three outcome indicators and identified exemplar countries with marked progress in reducing inequalities.ResultsFor each outcome indicator, annual changes in summary measures tended to show moderate (Pearson correlation coefficients of 0.4 to 0.69) or strong correlations (0.7 or higher) among themselves, and we thus focused on four of the 12 measures: absolute and relative annual changes in mean differences and ratios from the overall national mean. On average, absolute ethnic or language group inequalities tended to decline slightly for the three outcomes, and relative inequality declined for stunting and CCI, but increased for mortality. Correlations for annual trends across the three outcomes were inconsistent, with several countries showing progress in terms of one outcome but not in others. Togo and Uganda showed with the most consistent progress in reducing inequality, whereas the worst performers were Nigeria, Moldova, Kyrgyzstan, Sao Tome and Principe, and Burkina Faso.ConclusionsAlthough measures of annual changes in ethnic or language group inequalities in child health were consistently correlated within each outcome, analyses of such inequalities should rely upon multiple measures. Countries showing progress in one child health outcome did not necessarily show improvements in the remaining outcomes. In-depth analyses at country level are needed to understand the drivers of success in reducing ethnic gaps.

Can White allyship contribute to tackling ethnic inequalities in health? Reflections on the experiences of diverse young adults in England

ABSTRACT Ethnic diversity and racism have not featured strongly in English research, policy or practice centred on understanding and addressing health inequalities. However, the COVID-19 pandemic and the Black Lives Matter movement have shone fresh light on deep-rooted ethnic inequalities and mobilised large segments of the population into anti-racist demonstration. These recent developments suggest that, despite strong counterforces within national government and the mainstream media, there could be a shift towards greater public awareness of racism and potentially a willingness to take individual and collective action. This paper addresses these developments, and specifically engages with the contested notion of ‘allyship’. We bring together the experiences of 25 young adults living across England and prior literature to raise questions about whether and how racialized White individuals can play a role in dismantling systemic racism and reducing ethnic inequalities in health. Our analysis reveals a variety of complexities and obstacles to effective and widespread allyship. Findings suggest the need to nurture contingent, responsive and reflexive forms of allyship that can attend to the harms inflicted upon racially minoritized people as well as push for systemic transformation. White allyship will need to take a variety of forms, but it must be underpinned by an understanding of racism as institutional and systemic and a commitment to tackling interlocking systems of oppression through solidarity. The issues addressed are relevant to those occupying public health research, policy and practice roles, as well as members of the public, in England and other multi-racial settings.

The self-reported health of the Sámi in Sweden: the SámiHET study.

The Sámi are an ethnic minority and the only Indigenous people in the European Union. Population-based health studies among Sámi in Sweden are scarce and outdated. The aim of this study was to analyse the ethnic, Sámi vs. non-Sámi, health differences among men and women living in Sweden. This study combined two data sources: the national Health on Equal Terms (HET) survey and a similar study conducted among the Sámi population, the SámiHET study, both carried out during spring 2021. Twelve outcomes were used to capture different aspects of the population's health organized along four dimensions: general health, physical health, mental health and lifestyle behaviours. Prevalence ratios, adjusted for age, civil status, education and income, were used as the measure of effect with 95% confidence intervals to provide inference. Analyses were disaggregated by sex. The prevalence of poor self-rated dental health (and chronically ill health among men), asthma and overweight were higher among the Sámi; however, the mental health outcomes were similar or lower among the Sámi participants. The Sámi ate less vegetables and fruits, but they were smoking and drinking alcohol less than the national Swedish population. These patterns were similar among both men and women. Poor self-rated dental health, asthma, overweight and a low consumption of vegetables and fruits were a concern among the Sámi population in both men and women. These areas therefore require specific targeted interventions to decrease the observed ethnic health inequalities in Sweden. The design of this study opens the possibility for continuous monitoring of the health of the Sámi but also offers the best possible comparison with Swedish population health data.