scholarly journals Inferential challenges when assessing racial/ethnic health disparities in environmental research

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Tarik Benmarhnia ◽  
Anjum Hajat ◽  
Jay S. Kaufman

AbstractNumerous epidemiologic studies have documented environmental health disparities according to race/ethnicity (R/E) to inform targeted interventions aimed at reducing these disparities. Yet, the use of R/E under the potential outcomes framework implies numerous underlying assumptions for epidemiologic studies that are often not carefully considered in environmental health research. In this commentary, we describe the current state of thinking about the interpretation of R/E variables in etiologic studies. We then discuss how such variables are commonly used in environmental epidemiology. We observed three main uses for R/E: i) as a confounder, ii) as an effect measure modifier and iii) as the main exposure of interest either through descriptive analysis or under a causal framework. We identified some common methodological concerns in each case and provided some practical solutions. The use of R/E in observational studies requires particular cautions in terms of formal interpretation and this commentary aims at providing a practical resource for future studies assessing racial/ethnic health disparities in environmental research.

Author(s):  
Clare E.B. Cannon

Increasingly, funders (i.e., national, public funders, such as the National Institutes of Health and National Science Foundation in the U.S.) and scholars agree that single disciplines are ill equipped to study the pressing social, health, and environmental problems we face alone, particularly environmental exposures, increasing health disparities, and climate change. To better understand these pressing social problems, funders and scholars have advocated for transdisciplinary approaches in order to harness the analytical power of diverse and multiple disciplines to tackle these problems and improve our understanding. However, few studies look into how to conduct such research. To this end, this article provides a review of transdisciplinary science, particularly as it relates to environmental research and public health. To further the field, this article provides in-depth information on how to conduct transdisciplinary research. Using the case of a transdisciplinary, community-based, participatory action, environmental health disparities study in California’s Central Valley provides an in-depth look at how to do transdisciplinary research. Working with researchers from the fields of social sciences, public health, biological engineering, and land, air, and water resources, this study aims to answer community residents’ questions related to the health disparities they face due to environmental exposure. Through this case study, I articulate not only the logistics of how to conduct transdisciplinary research but also the logics. The implications for transdisciplinary methodologies in health disparity research are further discussed, particularly in the context of team science and convergence science.


Author(s):  
Dany Doiron ◽  
Eleanor Setton ◽  
Evan Seed ◽  
Mahdi Shooshtari ◽  
Jeffrey Brook

IntroductionHealth and environmental exposure databases are generally siloed in different research institutions across Canada and integrating them for environmental health research is a considerable challenge. Facilitating the linkage of these databases is essential to provide new analytical opportunities and help create efficiencies for research on environmental determinants of health. Objectives and ApproachCANUE is a Canadian Institutes of Health Research-funded platform for supporting environmental health research. CANUE collates and generates standardized environmental data on air and noise pollution, land use, green/natural spaces, climate change/extreme weather, and socioeconomic conditions for every postal code in Canada and makes them freely available to researchers. Systems and procedures are being developed by CANUE to facilitate the sharing and integration of these extensive geospatial exposures with existing observational cohorts and administrative health databases across Canada. This linkage will enable investigators to test hypotheses on the interdependent associations of environmental features with health impacts or benefits. ResultsCANUE now hosts a dozen national exposure databases and related metadata files, and actively adds new regional and national datasets. Streamlined processes for data sharing have been developed to facilitate easy merging with health data. Substantial consultation has also taken place with a wide range of health data holders to establish appropriate processes for receiving and managing environmental data, with particular focus on addressing challenges presented by differing ethics, consent and confidentiality requirements. These processes help accelerate the research process by making analysis-ready data available to investigators, create opportunities to study how multiple environmental factors are linked to a wide range of health outcomes, and generally increase the use of health and population databases for environmental health research. Conclusion/ImplicationsThe CANUE collaborative model illustrates how the production of policy-relevant evidence can be advanced through better coordination among environmental health researchers and linkage with health databases. CANUE is improving the scientific potential and cost-effectiveness of research in environmental epidemiology through streamlining linkage and access to standardized exposure datasets.


Author(s):  
David B. Resnik

This chapter discusses some of the key ethical issues that arise in environmental health research involving human subjects, including returning individualized research results, protecting privacy and confidentiality, research on environmental interventions, intentional exposure studies, research regulations, autonomy, beneficence, informed consent, payments to subjects, and protecting vulnerable human subjects. The chapter will discuss issues that are common to all research designs, as well as those unique to certain types of designs, such as intentional exposure studies. It will also address ethical issues that arose in two important cases, the Kennedy Krieger Institute lead abatement study, and the Children’s Environmental Exposure Research Study.


Author(s):  
Thomas E. Fuller-Rowell ◽  
David S. Curtis ◽  
Adrienne M. Duke

Conceptual frameworks for racial/ethnic health disparities are abundant, but many have received insufficient empirical attention. As a result, there are substantial gaps in scientific knowledge and a range of untested hypotheses. Particularly lacking is specificity in behavioral and biological mechanisms for such disparities and their underlying social determinants. Alongside lack of political will and public investment, insufficient clarity in mechanisms has stymied efforts to address racial health disparities. Capitalizing on emergent findings from the Midlife in the United States (MIDUS) study and other longitudinal studies of aging, this chapter evaluates research on health disparities between black and white US adults. Attention is given to candidate behavioral and biological mechanisms as precursors to group differences in morbidity and mortality and to environmental and sociocultural factors that may underlie these mechanisms. Future research topics are discussed, emphasizing those that offer promise with respect to illuminating practical solutions to racial/ethnic health disparities.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Guillaume Fond ◽  
Vanessa Pauly ◽  
Audrey Duba ◽  
Sebastien Salas ◽  
Marie Viprey ◽  
...  

AbstractLittle is known on the end-of-life (EOL) care of terminal breast cancer in women with severe psychiatric disorder (SPD). The objective was to determine if women with SPD and terminal breast cancer received the same palliative and high-intensity care during their end-of-life than women without SPD. Study design, setting, participants. This population-based cohort study included all women aged 15 and older who died from breast cancer in hospitals in France (2014–2018). Key measurements/outcomes. Indicators of palliative care and high-intensity EOL care. Multivariable models were performed, adjusted for age at death, year of death, social deprivation, duration between cancer diagnosis and death, metastases, comorbidity, smoking addiction and hospital category. The analysis included 1742 women with SPD (287 with bipolar disorder, 1075 with major depression and 380 with schizophrenia) and 36,870 women without SPD. In multivariate analyses, women with SPD had more palliative care (adjusted odd ratio aOR 1.320, 95%CI [1.153–1.511], p < 0.001), longer palliative care follow-up before death (adjusted beta = 1.456, 95%CI (1.357–1.555), p < 0.001), less chemotherapy, surgery, imaging/endoscopy, and admission in emergency department and intensive care unit. Among women with SPD, women with bipolar disorders and schizophrenia died 5 years younger than those with recurrent major depression. The survival time was also shortened in women with schizophrenia. Despite more palliative care and less high-intensity care in women with SPD, our findings also suggest the existence of health disparities in women with bipolar disorders and schizophrenia compared to women with recurrent major depression and without SPD. Targeted interventions may be needed for women with bipolar disorders and schizophrenia to prevent these health disparities.


2021 ◽  
Vol 24 (4) ◽  
pp. 638-657
Author(s):  
James N. Druckman ◽  
Katherine Ognyanova ◽  
Matthew A. Baum ◽  
David Lazer ◽  
Roy H. Perlis ◽  
...  

Concerns about misperceptions among the public are rampant. Yet, little work explores the correlates of misperceptions in varying contexts – that is, how do factors such as group affiliations, media exposure, and lived experiences correlate with the number of misperceptions people hold? We address these questions by investigating misperceptions about COVID-19, focusing on the role of racial/ethnic, religious, and partisan groups. Using a large survey, we find the number of correct beliefs held by individuals far dwarfs the number of misperceptions. When it comes to misperceptions, we find that minorities, those with high levels of religiosity, and those with strong partisan identities – across parties – hold a substantially greater number of misperceptions than those with contrasting group affiliations. Moreover, we show other variables (e.g., social media usage, number of COVID-19 cases in one’s county) do not have such strong relationships with misperceptions, and the group-level results do not reflect acquiescence to believing any information regardless of its truth value. Our results accentuate the importance of studying group-level misperceptions on other scientific and political issues and developing targeted interventions for these groups.


2018 ◽  
Vol 28 (2) ◽  
pp. 123 ◽  
Author(s):  
Lauren Brown ◽  
Reginald Tucker-Seeley

<p>The recent trend of premature death among Whites in the United States has garnered attention in both the popular and academic literature. This attention has focused on the plight of low socioeconomic status Whites in non-urban areas. The population health lit­erature in general and the health disparities literature more specifically has struggled to describe differences in health when White groups present worse health outcomes or worsening trends compared with racial/ ethnic minority groups. There remain many open questions as population health/health disparities research attempts to explain the increasing mortality rates for low socioeco­nomic status Whites in non-urban areas in relationship to other racial/ethnic groups. As the conversation in the academic and popular literature continues to unfold, a key question for population health research and practice is how will the ‘deaths of despair’ phenomenon among Whites influence our measuring of, and reporting and interven­ing on, race/ethnic health disparities? <em></em></p><p><em>Ethn Dis. </em>2018;28(2):123-128; doi:10.18865/ ed.28.2.123.</p>


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