Strategies and Considerations for Addressing Race and Racism in Quantitative Family Planning Studies.

OBJECTIVE: Family planning researchers have not critically engaged with topics of race, racism, and associated concepts like ethnicity. This lack of engagement contributes to the reproduction of research that reifies racial hierarchies rather than illuminates, and interrupts, the processes by which racism affects health. This research practice support paper lays out considerations and best practices for addressing race and racism in quantitative family planning research. STUDY DESIGN: We are scholars with racialized identities and expertise in racial health equity in family planning research. We draw from scholarship and guidance across disciplines to examine common shortcomings in the use and analysis of race and racism and propose practices for rigorous use of these concepts in quantitative family planning research. RESULTS: We recommend articulating the role of race and racism in the development of the research question, authorship and positionality, study design, data collection, analytic approach, and interpretation of analyses. Definitions of relevant concepts and additional resources are provided. CONCLUSION: Family planning and racism are inextricably linked. Failing to name and analyze the pathways through which structural racism affects family planning and the people who need or want to plan if, when, or how to become pregnant or parent may reproduce harmful and incorrect beliefs about the causes of health inequities and the attributes of Black, Indigenous, and other people racialized as non-white. Family planning researchers should critically study racism and race with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches. IMPLICATIONS: Family planning research can better contribute to efforts to eliminate racialized health inequities, and avoid perpetuating harmful beliefs and conceptualizations of race, by ensuring that they study race and racism with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches.

The C2DREAM framework: Investigating the structural mechanisms undergirding racial health inequities.

Racism shapes the distribution of the social determinants of health (SDoH) along racial lines. Racism determines the environments in which people live, the quality of housing, and access to healthcare. Extensive research shows racism in its various forms negatively impacts health status, yet few studies and interventions seriously interrogate the role of racism in impacting health. The C2DREAM framework illuminates how exposure to racism, in multiple forms, connects to cardiovascular disease, hypertension, and obesity. The goal of the C2DREAM framework is to guide researchers to critically think about and measure the role of racism across its many levels of influence to better elucidate the ways it contributes to persistent health inequities. The conceptual framework highlights the interconnectedness between forms of racism, SDoH, and the lifecourse to provide a greater context to individual health outcomes. Utilizing this framework and critically contending with the effects of racism in its multiple and cumulative forms will lead to better research and interventions.

Instruments for racial health equity: a scoping review of structural racism measurement, 2019-2021.

Progress toward racial health equity cannot be made if we cannot measure its fundamental driver - structural racism. As in other epidemiological studies, the first step is to measure the exposure. But how to measure structural racism is an ongoing debate. To characterize the approaches epidemiologists and other health researchers use to quantitatively measure structural racism, highlight methodological innovations, and identify gaps in the literature, we conducted a scoping review of the peer-reviewed and grey literature published during 2019-2021 to accompany the work of Groos et al. (J Health Dispar Res Pract. 2018;11(2):Article 13), which surveys the scope of structural racism measurement up to 2017. We identified several themes from the recent literature: the current predominant focus on measuring anti-Black racism, using residential segregation as well as other segregation-driven measures as proxies of structural racism, measuring structural racism as spatial exposures, an increasing call by epidemiologists and other health researchers to measure structural racism as a multidimensional, multi-level determinant of health and related innovations, the development of policy databases, the utility of simulated counterfactual approaches in the understanding of how structural racism drive racial health inequities, and the lack of measures of antiracism and limited work on later life effects. Our findings sketch out several future steps to improve the science around structural racism measurements, which is the key to advancing antiracism policies.

Racial Arrest Disparities in the USA by Rural-Urban Location and Region.

BACKGROUND: Urban racial arrest disparities are well known. Emerging evidence suggests that rural policing shares similar patterns as urban policing in the USA, but without receiving the same public scrutiny, raising the risk of biased rural policing going unnoticed. METHODS: We estimated adult and adolescent arrest rates and rate ratios (RR) by race, rural-urban status, and US region based on 2016 Uniform Crime Reporting Program arrest and US Census population counts using general estimating equation Poisson regression models with a 4-way interaction between race, region, age group, and urbanicity. RESULTS: With few exceptions, arrest rates were highest in small towns and rural areas, especially among Black and American Indian populations. Arrest rates differed between US regions with highest rates and racial disparities in the Midwest. For example, arrest rates among Black adults in the rural Midwest were 148.6 arrests [per 1000 population], 95% CI 131.4-168.0, versus 94.4 arrests, 95% CI 77.2-115.4 in the urban Midwest; and versus corresponding rural Midwest arrests among white adults, 32.7 arrests, 95% CI 30.8-34.8, Black versus white rural RR 4.54, 95% CI 4.09-5.04. Racial arrest disparities in the South were lower but still high, e.g., rural South, Black versus White adults, RR 1.86, 95% CI 1.71-2.03. CONCLUSIONS: Rural areas and small towns are potential hotspots of racial arrest disparities across the USA, especially in the Midwest. Approaches to overcoming structural racism in policing must include strategies targeted at rural/small town communities. Our findings underscore the importance of dismantling racist policing in all US communities.

More than tears: associations between exposure to chemical agents used by law enforcement and adverse reproductive health outcomes.

Despite routine law enforcement use of chemical agents for crowd control, the reproductive health safety profiles of these products are unknown. Moreover, limited evidence has documented a link between such exposures and adverse reproductive health outcomes including abnormal uterine bleeding and potential pregnancy disruption. This cross-sectional study examined reproductive outcomes in adults with uteri exposed to chemical agents used by law enforcement, more commonly known as "tear gas". Participants were recruited through social media in the wake of police violence protests. Of the 1,276 participants included in analysis, 83% reported experiencing at least one of the outcomes of interest, included uterine cramping (69%), early menstrual bleeding (55%), breast tenderness (30%), and delayed menstrual bleeding (19%). Chemical agent exposure was significantly associated with higher odds of an adverse reproductive health outcome, those with 5 days or more of exposure have 2.6 times the odds (CI: 1.61, 4.22) of adverse outcomes and having a perception that one's menstruation may fluctuate according to psychosocial stressors was associated (OR = 1.94, CI: 1.36, 2.79) with a higher odds of an adverse reproductive health experience. These findings suggest a potential relationship between exposure to chemical agents and adverse reproductive health outcomes. Given the pervasive use of these chemical agents and their potential for reproductive health harm, further investigation into the safety of these products and their impacts on individual and community health is warranted urgently.

Health selection on self-rated health and the healthy migrant effect: Baseline and 1-year results from the health of Philippine Emigrants Study.

Studies of migration and health focus on a "healthy migrant effect" whereby migrants are healthier than individuals not migrating. Health selection remains the popular explanation of this phenomenon. However, studies are mixed on whether selection occurs and typically examine migrants post-departure. This study used a novel pre-migration dataset to identify which health and social domains differ between migrants and their non-migrant counterparts and their contribution to explaining variance in self-rated health by migrant status at pre-migration and 1-year later. Data were used from the baseline and 1-year follow-up of the Health of Philippine Emigrants Study (HoPES). We used multivariable ordinary least squares regression to examine differences in self-rated health between migrants to the U.S. and a comparable group of non-migrants at baseline (premigration) and one year later, accounting for seven domains: physical health, mental health, health behavior, demographics, socioeconomic factors and healthcare utilization, psychosocial factors, and social desirability. A migrant advantage was present for self-rated health at baseline and 1-year. Accounting for all domains, migrants reported better self-rated health compared to non-migrants both at baseline (ß = 0.32; 95% CI = 0.22, 0.43) and at 1-year (ß = 0.28; 95% CI = 0.10, 0.46). Migrant status, health behavior, and mental health accounted for most of the variance in self-rated health both at baseline and 1-year follow-up. This analysis provides evidence of migrant health selection and nuanced understanding to what is being captured by self-rated health in studies of migrant health that should be considered in future research.

Heterogeneity in Migrant Health Selection: The Role of Immigrant Visas.

This study proposes that visa status is an important construct that is central to understanding how health selection occurs among immigrants. We used the 2017 baseline survey data of the Health of Philippine Emigrants Study (n = 1,632) to compare the health of nonmigrants remaining in the Philippines and migrants surveyed prior to migration to the United States. Furthermore, we compared migrant health by visa type: limited family reunification, unlimited family reunification, fiancé(e)/marriage, and employment. Migrants reported fewer health conditions than nonmigrants overall. However, health varied among migrants by visa type. Migrants with fiancé(e)/marriage visas were the healthiest, reporting significantly fewer health conditions than the other groups. Limited family reunification migrants reported more health conditions than nonmigrants and unlimited family reunification migrants. We discuss how the immigration visa process reflects broader forms of social and political stratification that cause heterogeneity in immigrant health selection.

Cohort profile: the Health of Philippine Emigrants Study (HoPES) to examine the health impacts of international migration from the Philippines to the USA.

PURPOSE: The Health of Philippine Emigrants Study (HoPES) longitudinally investigates over 3 years whether migrating from the Philippines to the USA results in increased risk for obesity relative to non-migrants in the Philippines. The study is designed to test the healthy immigrant hypothesis by collecting health measures from migrants starting from a pre-migration baseline and enrolling a non-migrant cohort matched on age, gender and education for comparison. PARTICIPANTS: A migrant cohort (n=832; 36.5% of eligible individuals) was recruited from clients of the Commission on Filipinos Overseas prior to exiting the Philippines. A non-migrant cohort (n=805; 68.6% eligible individuals) was recruited from community households in municipalities throughout the cities of Manila and Cebu. By intention, these two cohorts are comparable demographically, including urban/rural status of residency in the Philippines at baseline. FINDINGS TO DATE: At baseline, compared with non-migrants, migrants report significantly better self-rated health and less depression, and have significantly larger hip circumference and lower waist-to-hip ratio, as well as significantly higher mean systolic blood pressure and higher mean level of apolipoprotein B. Baseline results can offer insight into the health status of both migrant and non-migrant populations and may be useful for obesity prevention efforts. FUTURE PLANS: Longitudinal data collection is scheduled to be completed in December 2020 when the final data collection wave (36 months after baseline) will conclude. Both migrant and non-migrant cohorts will be maintained beyond the current prospective study, so long as research funding allows and emerges for new study questions. Findings from future longitudinal analyses can inform the need and design of health-related/relevant interventions, whether clinical, behavioural, educational, or policy, that can be implemented at the individual or population level.

Health of Philippine Emigrants Study (HoPES): study design and rationale.

BACKGROUND: Immigrants to the United States are usually healthier than their U.S.-born counterparts, yet the health of immigrants declines with duration of stay in the U.S. This pattern is often seen for numerous health problems such as obesity, and is usually attributed to acculturation (the adoption of "American" behaviors and norms). However, an alternative explanation is secular trends, given that rates of obesity have been rising globally. Few studies of immigrants are designed to distinguish the effects of acculturation versus secular trends, in part because most studies of immigrants are cross-sectional, lack baseline data prior to migration, and do not have a comparison group of non-migrants in the country of origin. This paper describes the Health of Philippine Emigrants Study (HoPES), a study designed to address many of these limitations. METHODS: HoPES is a dual-cohort, longitudinal, transnational study. The first cohort consisted of Filipinos migrating to the United States (n = 832). The second cohort consisted of non-migrant Filipinos who planned to remain in the Philippines (n = 805). Baseline data were collected from both cohorts in 2017 in the Philippines, with follow-up data collection planned over 3 years in either the U.S. for the migrant cohort or the Philippines for the non-migrant cohort. At baseline, interviewers administered semi-structured questionnaires that assessed demographic characteristics, diet, physical activity, stress, and immigration experiences. Interviewers also measured weight, height, waist and hip circumferences, blood pressure, and collected dried blood spot samples. DISCUSSION: Migrants enrolled in the study appear to be representative of recent Filipino migrants to the U.S. Additionally, migrant and non-migrant study participants are comparable on several characteristics that we attempted to balance at baseline, including age, gender, and education. HoPES is a unique study that approximates a natural experiment from which to study the effects of immigration on obesity and other health problems. A number of innovative methodological strategies were pursued to expand the boundaries of current immigrant health research. Key to accomplishing this research was investment in building collaborative relationships with stakeholders across the U.S. and the Philippines with shared interest in the health of migrants.

The weight of racism: Vigilance and racial inequalities in weight-related measures.

In the United States, racial/ethnic inequalities in obesity are well-documented, particularly among women. Using the Chicago Community Adult Health Study, a probability-based sample in 2001-2003 (N = 3105), we examined the roles of discrimination and vigilance in racial inequalities in two weight-related measures, body mass index (BMI) and waist circumference (WC), viewed through a cultural racism lens. Cultural racism creates a social environment in which Black Americans bear the stigma burden of their racial group while White Americans are allowed to view themselves as individuals. We propose that in this context, interpersonal discrimination holds a different meaning for Blacks and Whites, while vigilance captures the coping style for Blacks who carry the stigma burden of the racial group. By placing discrimination and vigilance within the context of cultural racism, we operationalize existing survey measures and utilize statistical models to clarify the ambiguous associations between discrimination and weight-related inequalities in the extant literature. Multivariate models were estimated for BMI and WC separately and were stratified by gender. Black women had higher mean BMI and WC than any other group, as well as highest levels of vigilance. White women did not show an association between vigilance and WC but did show a strong positive association between discrimination and WC. Conversely, Black women displayed an association between vigilance and WC, but not between discrimination and WC. These results demonstrate that vigilance and discrimination may hold different meanings for obesity by ethnoracial group that are concealed when all women are examined together and viewed without considering a cultural racism lens.