This issue of Nicotine & Tobacco Research includes articles investigating how commercial tobacco product use varies by “race/ethnicity” in the United States1–4 and a systematic review of factors influencing smoking cessation among pregnant Indigenous women in Australia.5 These articles highlight how, as people engaged in nicotine and tobacco research, we can improve how we engage stakeholders and conceptualize, conduct, and report research exploring racial/ethnic disparities. In this editorial, “tobacco” refers only to commercial tobacco products, recognizing that the tobacco plant is sacred for many Indigenous peoples. We use “race/ethnicity” to broadly represent sociopolitical constructs, recognizing that there are many dimensions to racial/ethnic identity that this conceptualization does not include.
There are many important topics that fall broadly under “health disparities research” that we could explore. Examples include how researchers’ racial/ethnic identities affect study design, study conduct, methodologies, and reporting, or how to ensure that the research team and its leadership reflect the Indigenous or racial/ethnic groups under study. Each of these topics merits individual editorials. However, in this editorial, we focus on the importance of studying the structural causes of racial/ethnic disparities in commercial tobacco use and health outcomes. We begin by explaining why explicitly or implicitly framing race/ethnicity as a causal determinant of tobacco-related health disparities is problematic and may impede progress toward health equity. Then, we highlight approaches to investigating the multilevel mechanisms that drive these disparities. We close with brief suggestions for modifying how we conduct research in tobacco-related health disparities.
Framing Race/Ethnicity as a Causal Determinant Impedes Progress Toward Health Equity
Readers are no doubt familiar with studies concluding that people of a certain race/ethnicity are “at greater risk” of negative commercial tobacco-related behaviors or outcomes compared with individuals from other racial/ethnic groups, without further investigation into the source of these disparities. Although such comparisons can highlight inequity and hence support arguments for prioritizing interventions to reduce disparities, it can also frame race/ethnicity as a causal determinant of health disparities, impeding our understanding of why these inequities exist. This approach may lead to erroneous assumptions that the cause of disparities is either biological and hence not modifiable, or cultural and therefore the “fault” of group members themselves.6,7 For example, governing authorities may frame tobacco-related behaviors as “entirely cultural” to absolve themselves of responsibility to regulate commercial tobacco products, as is arguably the case of the failure to regulate smokeless tobacco products, which are disproportionately used by South Asians in the United Kingdom.8 Even the endeavor of identifying racial/ethnic disparities without considering the underlying mechanisms driving them risks framing the wider group as “normal” and the racial/ethnic group as “substandard.”
Rather than conceptualizing racial/ethnic categories as “risk factors,” we encourage thinking of race/ethnicity as a socially constructed proxy for structural determinants such as degree of disadvantage, marginalization, colonization, and the pervasive effects of racism at the intrapersonal, interpersonal, institutional, and structural levels.6,9 Across cultures and contexts, the effects of racism are associated with poor health and increased likelihood for commercial tobacco use initiation, maintenance, and relapse.10–13 For example, experiences of discrimination are associated with heightened psychosocial stress and increased risk for smoking among Black Americans.14 Adjusting for socioeconomic factors rarely fully explains inequity.6 For instance, although commercial tobacco use prevalence varies by socioeconomic status in Aotearoa/New Zealand, Māori are more likely to smoke than non-Māori at every socioeconomic status.15 Thus, using an intersectional lens and assessing racism’s pervasive effects in combination with socioeconomic status is necessary to understand why disparities persist even after adjusting for material disadvantage.6
Approaches to Measuring the Underlying Mechanisms Driving Racial/Ethnic Inequity
There are many approaches available to nicotine and tobacco researchers to investigate the manifestations of racism in the lived experiences of racial/ethnic minority and Indigenous groups. At the individual level, measures such as the Major Experiences and Everyday Discrimination Scales assess both exposure to and the frequency of experienced racism.16–18 At the interpersonal level, assessing the degree of healthcare providers’ implicit bias or cultural competency may help explain racial/ethnic differences in intervention engagement and outcomes. Similarly, assessing differential healthcare access, experiences, or treatment outcomes could measure the degree of institutional racism perpetuating health inequity. Possible measures of structural racism related to commercial tobacco use disparities include residential segregation and the density of tobacco retailers within locations. More broadly, understanding the role of structural racism in tobacco-related health disparities requires shifting from study designs focusing on individual-level determinants to designs that focus on population-level factors that impact health across the life course.19
Moving the Field Forward
To move the field of nicotine and tobacco research toward work that is more inclusive of our racially/ethnically diverse global communities and that provides the knowledge base for eliminating health disparities, we offer the following suggestions when designing, conducting, and reporting studies. We recognize that there are many other actions we should take in addition to those listed below.
Development and application of methods grounded in theory: Use theory (eg, Minority Stress Model, intersectionality, US National Institute on Minority Health and Health Disparities framework, or decolonizing theory, among others) to guide study design, particularly to incorporate multilevel measurement of the experience, mechanisms, and consequences of racism. In reporting and disseminating findings, researchers should explain how they assessed race/ethnicity and justify why they took this approach. For example, as highlighted by the diversity of backgrounds, cultures, and lived experiences encompassed by the “Hispanic” label in the United States, researchers should consider the shortcomings of using racial/ethnic labels as set of mutually exclusive categories in explanatory analyses, which gloss over people’s self-defined multiple identities. At the same time, we also recognize that racial/ethnic labels make disparities visible, and thus are useful for purposes like surveillance.
Attention to appropriate study design, methods, and reporting: This suggestion includes many facets. For example, study designs should adhere wherever feasible to the principle of “equal explanatory power,” which requires that research be as useful for improving the health of racial/ethnic minority and Indigenous subpopulations as it is for the overall population.20 A major component of this principle is designing studies with adequate sample sizes to explore differences by race/ethnicity. If collecting adequate samples is not possible (eg, in a secondary analysis), consider how aggregating racial/ethnic groups may mask key differences and reduce the utility of examining race/ethnicity as proxy for lived experience. Researchers should also consider how they use race/ethnicity in analyses. Some approaches could yield misleading results due to faulty categorization and comparisons, or inappropriate use of race/ethnicity as an adjusting variable.
Research management and conduct: On a broader level, researchers should also reflect on their role in the research process, particularly if they are not members of the groups included in the study. Research should be led by or at least with the participation of researchers from the groups studied. We encourage researchers to avoid deficit framing in their interpretation of results and to disseminate findings to communities from where participants were drawn.
Beyond improving study design and measurement, our field must also critically reflect on how structural racism constrains and shapes our research endeavors. The basic metrics of success in academia encourage focus on the total population rather than subpopulations, which translates to more citations, name recognition, grant funding, and ultimately career progress. As individuals and as a field, we must actively engage in dismantling racism in all its manifestations, including within our own institutions and practices by ensuring that research investigating topics of importance to Indigenous or racial/ethnic groups is prioritized and is carried out using appropriate designs, methods, and practices.
We intend this editorial to encourage additional conversation in our field on eliminating disparities and achieving equity in our own research activities. The journal welcomes discussion pieces about issues raised here and will soon issue a call for papers for an upcoming special issue, entitled “Identifying and Eliminating Inequities in Commercial Tobacco Use and Related Health Outcomes.”
Supplementary Material
A Contributorship Form detailing each author’s specific involvement with this content, as well as any supplementary data, are available online at https://academic.oup.com/ntr.
Declaration of Interests
None declared.
References
- 1. Kcomt L , Evans-Polce RJ, Engstrom CW, West BT, McCabe SE. Racial/ethnic discrimination, sexual orientation discrimination, and severity of tobacco use disorder in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions-III. Nicotine Tob Res. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Mills SD , Hao Y, Ribisl KM, Wiesen CA, Hassmiller Lich K. The relationship between menthol cigarette use, smoking cessation and relapse: findings from Waves 1 to 4 of the Population Assessment of Tobacco and Health Study. Nicotine Tob Res. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Stokes A , Wilson AE, Lundberg DJ, et al. Racial/ethnic differences in associations of noncigarette tobacco product use with subsequent initiation of cigarettes in US youths. Nicotine Tob Res. 2020; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Sakuma KK , Pierce JP, Fagan P, et al. Racial/ethnic disparities across indicators of cigarette smoking in the era of increased tobacco control, 1992–2019. Nicotine Tob Res. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Rahman T , Eftekhari P, Bovill M, Baker A, Gould G. Socioecological mapping of barriers and enablers to smoking cessation in Indigenous Australian women during pregnancy and postpartum: a systematic review. Nicotine Tob Res. 2021. [DOI] [PubMed] [Google Scholar]
- 6. Phelan JC , Link BG. Is racism a fundamental cause of inequalities in health? Annu Rev Sociol. 2015;41(1):311–330. [Google Scholar]
- 7. Borrell LN , Elhawary JR, Fuentes-Afflick E, et al. Race and genetic ancestry in medicine – a time for reckoning with racism. N Engl J Med. 2021;384(5):474–480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Siddiqui F , Khan T, Readshaw A, et al. Smokeless tobacco products, supply chain and retailers’ practices in England: a multimethods study to inform policy [published online ahead of print January 7, 2021]. Tob Control. doi: 10.1136/tobaccocontrol-2020-055830. [DOI] [PubMed] [Google Scholar]
- 9. Nichter M . Smoking: what does culture have to do with it? Addiction. 2003;98 (suppl 1):139–145. [DOI] [PubMed] [Google Scholar]
- 10. Oh H , Glass J, Narita Z, Koyanagi A, Sinha S, Jacob L. Discrimination and multimorbidity among Black Americans: findings from the National Survey of American Life. J Racial Ethn Health Disparities. 2021;8(1):210–219. [DOI] [PubMed] [Google Scholar]
- 11. Harris R , Cormack D, Tobias M, et al. The pervasive effects of racism: experiences of racial discrimination in New Zealand over time and associations with multiple health domains. Soc Sci Med. 2012;74(3):408–415. [DOI] [PubMed] [Google Scholar]
- 12. Read UM , Karamanos A, João Silva M, et al. The influence of racism on cigarette smoking: Longitudinal study of young people in a British multiethnic cohort. PLoS One. 2018;13(1):e0190496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Unger JB . Perceived discrimination as a risk factor for use of emerging tobacco products: more similarities than differences across demographic groups and attributions for discrimination. Subst Use Misuse. 2018;53(10):1638–1644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cuevas AG , Reitzel LR, Adams CE, et al. Discrimination, affect, and cancer risk factors among African Americans. Am J Health Behav. 2014;38(1):31–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Cormack D , Stanley J, Harris R. Multiple forms of discrimination and relationships with health and wellbeing: findings from national cross-sectional surveys in Aotearoa/New Zealand. Int J Equity Health. 2018;17(1):26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Williams DR , Yan Yu, Jackson JS, Anderson NB. Racial differences in physical and mental health: socio-economic status, stress and discrimination. J Health Psychol. 1997;2(3):335–351. [DOI] [PubMed] [Google Scholar]
- 17. Atkins R . Instruments measuring perceived racism/racial discrimination: review and critique of factor analytic techniques. Int J Health Serv. 2014;44(4):711–734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Aotearoa/New Zealand Manatū Hauora/Ministry of Health. Racial Discrimination. https://www.health.govt.nz/our-work/populations/maori-health/tatau-kahukura-maori-health-statistics/nga-awe-o-te-hauora-socioeconomic-determinants-health/racial-discrimination. Published 2018. Accessed March 21, 2021.
- 19. McMichael AJ . Prisoners of the proximate: loosening the constraints on epidemiology in an age of change. Am J Epidemiol. 1999;149(10):887–897. [DOI] [PubMed] [Google Scholar]
- 20. Te Röpü Rangahau Hauora a Eru Pömare. Mana Whakamārama – Equal Explanatory Power: Māori and Non-Māori Sample Size in National Health Surveys. Wellington, New Zealand: Ministry of Health; 2002. Accessed March 21, 2021 [Google Scholar]
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