Office of Management and Budget Racial/Ethnic Categories in Mortality Research: A Framework for Including the Voices of Racialized Communities

Racial and ethnic minority status in country of birth modifies racial and ethnic disparities in influenza vaccination among New York City adults

BACKGROUND

Understanding the relationship between race/ethnicity, birthplace, and health outcomes is important for reducing health disparities. This study assessed the relationship between racial/ethnic identity and minority racial/ethnic status in country of birth on influenza vaccination among New York City (NYC) adults.

METHODS

Using 2015-2019 data from NYC's Community Health Surveys, we assessed the association between racial/ethnic identity and racial/ethnic minority status in birth country with past year influenza vaccination, calculating prevalence differences per 100 and assessing interaction on the additive scale using linear binomial regression, and prevalence ratios and interaction on the multiplicative scale using log-binomial regression.

RESULTS

Effect modification between race/ethnicity and minority racial/ethnic status in birth country was significant on the additive scale for Hispanic (p = 0.018) and Black (p = 0.025) adults and the multiplicative scale for Hispanic adults (p = 0.040). After stratifying by racial/ethnic minority or majority status in birth country, vaccination was significantly lower among Black adults compared with White adults among those in the minority (adjusted prevalence difference [aPD]=-12.98, 95%CI: -22.88-(-2.92)) and significantly higher among Hispanic adults compared with White adults among those in the majority (aPD=9.28, 95%CI: 7.35-11.21).

CONCLUSIONS

Racial/ethnic minority status in birth country is an important factor when examining racial/ethnic differences in vaccination status.

The association between parental age differences and perinatal outcomes

STUDY QUESTION

Are there significant associations existing between parental age differences and adverse perinatal outcomes?

SUMMARY ANSWER

Large differences in parental age are associated with adverse perinatal outcomes, particularly with older mothers paired with younger fathers.

WHAT IS KNOWN ALREADY

The association between advanced maternal age and perinatal outcomes is well-documented with women over 35 years showing an increased risk of several adverse outcomes. Other studies have identified potential associations between advanced paternal age and adverse perinatal outcomes.

STUDY DESIGN, SIZE, DURATION

A historical (retrospective) cohort analysis was performed utilizing a multivariable logistic regression model to evaluate the association between varying differences in parental age and adverse perinatal outcomes while controlling for demographic and health-related covariates. Data were compiled from the National Vital Statistics System for 20 613 704 births between 2012 and 2018.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Parental age differences, categorized into eleven 4-year intervals, were stratified by seven maternal age categories and evaluated for their associations with adverse perinatal outcomes. Main outcome measures included low birth weight, very low birth weight, preterm birth, very preterm birth, small size for gestational age, low 5-min appearance, pulse, grimace, activity, and respiration score, congenital defects, and chromosomal anomalies.

MAIN RESULTS AND THE ROLE OF CHANCE

Increased parental age differences, in either direction, were associated with significant risks for all adverse outcomes, aside from congenital defects, even when controlling for maternal age. Restricting maternal age to the reference range of 25-29 years, infants born to fathers aged 9-12 years younger (n = 3773) had 27% (odds ratio (OR) 1.27, 95% CI, 1.17-1.37) higher odds of having any adverse perinatal outcome. Infants born to fathers aged >16 years older (n = 98 555) had 14% (OR 1.14, 95% CI, 1.12-1.16) higher odds of having any adverse perinatal outcome.

LIMITATIONS, REASONS FOR CAUTION

Data extracted from US birth certificates may be compromised by errors in reporting or documentation. Information regarding the mother's socioeconomic status was estimated using proxy variables and may be susceptible to uncontrolled factors. Use of a pre-compiled dataset may potentially exclude additional maternal comorbidities that could impact perinatal outcomes.

WIDER IMPLICATIONS OF FINDINGS

Older mothers paired with younger fathers demonstrated the highest risk, even when maternal age was below the threshold of 35 years. For the clinical setting, parental age differences should be considered alongside maternal and paternal age when assessing risks of adverse perinatal outcomes for potential parents. This is particularly relevant for older women with younger male partners as this may exacerbate the impact of advanced maternal age.

STUDY FUNDING/COMPETING INTEREST(S)

This research was funded by the NIH Research Fellowship T35 Training Grant. There are no competing interests.

TRIAL REGISTRATION NUMBER

N/A.

Demographic reporting and language exclusion in gynecologic oncology clinical trials

BACKGROUND

Participation in clinical trials may help mitigate disparate cancer outcomes. Thus, ensuring equitable access to clinical trials is a major priority for national cancer organizations.

OBJECTIVE

This study aimed to examine clinical trial eligibility criteria that may adversely affect the enrollment of underrepresented groups and assess the availability of demographic information in published gynecologic oncology studies.

STUDY DESIGN

ClinicalTrials.gov was searched for gynecologic oncology studies conducted between 1997 and 2021. Each study's inclusion and exclusion criteria were reviewed to determine whether demographic factors were used for enrollment screening. For published studies, demographic variables that were reported were identified. The expected clinical trial enrollment based on disease incidence and mortality was compared with the observed trial enrollment based on race.

RESULTS

There were 1597 gynecologic oncology studies: 883 (55%) from ovarian cancer studies, 336 (21%) from cervical cancer studies, 262 (17%) from uterine cancer studies, and 116 (7%) from multisite gynecologic oncology studies. Of the 581 published studies, 554 (95%) reported age, 363 (63%) reported race, and 171 (29%) reported ethnicities. Cervical cancer studies were most likely to report demographic information, including race (P=.026) and ethnicity (P<.001). During the study period, 189 studies (12%) excluded patients based on the language spoken. Industry-sponsored trials (odds ratio, 0.07; 95% confidence interval, 0.02-0.30) and organization-sponsored trials (odds ratio, 0.40; 95% confidence interval, 0.22-0.73) were less likely to exclude patients because of language than investigator-initiated trials. A minority of patients (37%) in cervical cancer trials were of White race, compared with 85% of patients in uterine cancer trials and 82% of patients in ovarian cancer trials.

CONCLUSION

Over the last 3 decades, 1 in 10 gynecologic oncology trials excluded patients because of language. Race and ethnicity were reported in more than half of the available studies. Initiatives to increase transparency in recruiting underrepresented patients and reporting demographic data are urgently needed.

Operationalizing racialized exposures in historical research on anti-Asian racism and health: a comparison of two methods

Background

Addressing contemporary anti-Asian racism and its impacts on health requires understanding its historical roots, including discriminatory restrictions on immigration, citizenship, and land ownership. Archival secondary data such as historical census records provide opportunities to quantitatively analyze structural dynamics that affect the health of Asian immigrants and Asian Americans. Census data overcome weaknesses of other data sources, such as small sample size and aggregation of Asian subgroups. This article explores the strengths and limitations of early twentieth-century census data for understanding Asian Americans and structural racism.

Methods

We used California census data from three decennial census spanning 1920-1940 to compare two criteria for identifying Asian Americans: census racial categories and Asian surname lists (Chinese, Indian, Japanese, Korean, and Filipino) that have been validated in contemporary population data. This paper examines the sensitivity and specificity of surname classification compared to census-designated "color or race" at the population level.

Results

Surname criteria were found to be highly specific, with each of the five surname lists having a specificity of over 99% for all three census years. The Chinese surname list had the highest sensitivity (ranging from 0.60-0.67 across census years), followed by the Indian (0.54-0.61) and Japanese (0.51-0.62) surname lists. Sensitivity was much lower for Korean (0.40-0.45) and Filipino (0.10-0.21) surnames. With the exception of Indian surnames, the sensitivity values of surname criteria were lower for the 1920-1940 census data than those reported for the 1990 census. The extent of the difference in sensitivity and trends across census years vary by subgroup.

Discussion

Surname criteria may have lower sensitivity in detecting Asian subgroups in historical data as opposed to contemporary data as enumeration procedures for Asians have changed across time. We examine how the conflation of race, ethnicity, and nationality in the census could contribute to low sensitivity of surname classification compared to census-designated "color or race." These results can guide decisions when operationalizing race in the context of specific research questions, thus promoting historical quantitative study of Asian American experiences. Furthermore, these results stress the need to situate measures of race and racism in their specific historical context.

What Do Your Neighbors Think About You? How Perceived Neighbor Attitudes Toward Latinos Influence Mental Health Among a Pregnant Latina Cohort

Latina women living in the USA experience disproportionately higher rates of psychological distress compared to their non-Latina White counterparts. Poor maternal mental health during pregnancy can contribute to intergenerational mental health disparities. Through this pathway, mothers' experiences, environments, and exposures (henceforth "exposures") during pregnancy become biologically embodied and can negatively affect the fetus and life-long developmental trajectories of her child. One of the exposures that can affect mother-offspring dyads is the neighborhood. With the goal of integrating anthropological and sociological theories to explain mental health disparities among pregnant Latina women, we explored how perceptions of neighbor attitudes may influence mental health during pregnancy. We analyzed self-reported responses from 239 pregnant Latina women in Southern California (131 foreign-born, 108 US-born) on their mental health and perceived attitudes of their neighbors using multiple linear regression models. Among foreign-born Latina women, living in neighborhoods with more favorable views of Latinos was associated with lower depression scores (pooled β =  - .70, SE = .29, p = .019) and lower pregnancy-related anxiety scores (pooled β =  - .11, SE = .05, p = .021), but greater state anxiety scores (pooled β = .09, SE = .04, p = .021). Among US-born women, there were no associations between neighbor attitudes and mental health. Overall, results suggest that social environments are correlated with mental health and that foreign-born and US-born Latinas have varied mental health experiences in the USA. Our findings highlight the importance of improving aspects of neighborhood cohesion as part of maternal-fetal care management.

Internalization of Appearance Ideals and Not Religiosity Indirectly Impacts the Relationship Between Acculturation and Disordered Eating Risk in South and Southeast Asian Women Living in the United States

Objective

Studies that examine disordered eating in samples of Asian individuals living in the United States frequently combine all individuals of Asian descent into a single group, which can obscure important differences between groups and their experiences of acculturation. The goal of the present study was to establish the relation of acculturation, internalization of appearance ideals, and religiosity as predicting body dissatisfaction and disordered eating in women of South and Southeast Asian (SSEA) descent.

Method

Women of SSEA descent (N = 112) aged 18-51 years (M = 23.10, SD = 6.4) completed a battery of questionnaires that inquire about these variables. A path analysis was conducted with acculturation serving as the independent (exogenous) variable, religiosity and internalization of the thin ideal as mediators, and body dissatisfaction and disordered eating as dependent (endogenous) variables.

Results

Direct paths from acculturation to both body dissatisfaction and disordered eating were not significant. Thin ideal internalization completely accounted for the path from acculturation to both endogenous variables; whereas, religiosity did not significantly account for any indirect effect.

Discussion

For SSEA women, internalization of appearance ideals is a potentially greater risk factor for disordered eating than acculturation or religiosity. As this was an atemporal mediation analysis, more work needs to be done exploring predictors of internalization in this population and how that may impact the development of disordered eating.

Use of Race in Kidney Research and Medicine: Concepts, Principles, and Practice

Black Americans and other racially and ethnically minoritized individuals are disproportionately burdened by higher morbidity and mortality from kidney disease when compared with their White peers. Yet, kidney researchers and clinicians have struggled to fully explain or rectify causes of these inequalities. Many studies have sought to identify hypothesized genetic and/or ancestral origins of biologic or behavioral deficits as singular explanations for racial and ethnic inequalities in kidney health. However, these approaches reinforce essentialist beliefs that racial groups are inherently biologically and behaviorally different. These approaches also often conflate the complex interactions of individual-level biologic differences with aggregated population-level disparities that are due to structural racism (i.e., sociopolitical policies and practices that created and perpetuate harmful health outcomes through inequities of opportunities and resources). We review foundational misconceptions about race, racism, genetics, and ancestry that shape research and clinical practice with a focus on kidney disease and related health outcomes. We also provide recommendations on how to embed key equity-enhancing concepts, terms, and principles into research, clinical practice, and medical publishing standards.