Disparities at the intersection of marginalized groups

Mediation analysis using incomplete information from publicly available data sources

Our work was motivated by the question whether, and to what extent, well-established risk factors mediate the racial disparity observed for colorectal cancer (CRC) incidence in the United States. Mediation analysis examines the relationships between an exposure, a mediator and an outcome. All available methods require access to a single complete data set with these three variables. However, because population-based studies usually include few non-White participants, these approaches have limited utility in answering our motivating question. Recently, we developed novel methods to integrate several data sets with incomplete information for mediation analysis. These methods have two limitations: (i) they only consider a single mediator and (ii) they require a data set containing individual-level data on the mediator and exposure (and possibly confounders) obtained by independent and identically distributed sampling from the target population. Here, we propose a new method for mediation analysis with several different data sets that accommodates complex survey and registry data, and allows for multiple mediators. The proposed approach yields unbiased causal effects estimates and confidence intervals with nominal coverage in simulations. We apply our method to data from U.S. cancer registries, a U.S.-population-representative survey and summary level odds-ratio estimates, to rigorously evaluate what proportion of the difference in CRC risk between non-Hispanic Whites and Blacks is mediated by three potentially modifiable risk factors (CRC screening history, body mass index, and regular aspirin use).

The Extent, Range, and Nature of Quantitative Nutrition Research Engaging with Intersectional Inequalities: A Systematic Scoping Review

Addressing malnutrition for all requires understanding inequalities in nutrition outcomes and how they intersect. Intersectionality is increasingly used as a theoretical tool for understanding how social characteristics intersect to shape inequalities in health outcomes. However, little is known about the extent, range, and nature of quantitative nutrition research engaging with intersectional inequalities. This systematic scoping review aimed to address this gap. Between 15 May 2021 and 15 May 2022, we searched 8 databases. Studies eligible for inclusion used any quantitative research methodology and aimed to investigate how social characteristics intersect to influence nutrition outcomes. In total, 55 studies were included, with 85% published since 2015. Studies spanned populations in 14 countries but were concentrated in the United States (n = 35) and India (n = 7), with just 1 in a low-income country (Mozambique). Race or ethnicity and gender were most commonly intersected (n = 20), and body mass index and overweight and/or obesity were the most common outcomes. No studies investigated indicators of infant and young child feeding or micronutrient status. Study designs were mostly cross-sectional (80%); no mixed-method or interventional research was identified. Regression with interaction terms was the most prevalent method (n = 26); 2 of 15 studies using nonlinear models took extra steps to assess interaction on the additive scale, as recommended for understanding intersectionality and assessing public health impacts. Nine studies investigated mechanisms that may explain why intersectional inequalities in nutrition outcomes exist, but intervention-relevant interpretations were mostly limited. We conclude that quantitative nutrition research engaging with intersectionality is gaining traction but is mostly limited to the United States and India. Future research must consider the intersectionality of a wider spectrum of public health nutrition challenges across diverse settings and use more robust and mixed-method research to identify specific interventions for addressing intersectional inequalities in nutrition outcomes. Data systems in nutrition must improve to facilitate this. This review was registered in PROSPERO as CRD42021253339.

Social Determinants of Dry Eye in the United States: A Systematic Review

PURPOSE

To conduct a systematic review to summarize current evidence on associations between social determinants of health (SDOH) indicators and dry eye in the United States.

DESIGN

Systematic review.

METHODS

We followed a protocol registered on Open Science Framework to include studies that examined associations between SDOH indicators and dry eye. We mapped SDOH indicators to 1 of the 5 domains following the Healthy People 2030 framework and categorized dry eye measures into "dry eye diagnosis and care," "dry eye symptoms," or "ocular surface parameters." We summarized the direction of association between SDOH indicators and dry eye as worsening, beneficial, or null. We used items from the Newcastle Ottawa Scale to assess risk of bias.

RESULTS

Eighteen studies reporting 51 SDOH indicators, mostly mapped to the neighborhood and built environment domain, were included. Thirteen studies were judged at high risk of bias. Fifteen of 19 (79%) associations revealed an increase in the diagnosis of dry eye or delayed specialty care for it. Thirty-four of 56 (61%) associations unveiled exacerbated dry eye symptoms. Fifteen of 23 (65%) found null associations with corneal fluorescein staining. Ten of 22 (45%) associations revealed an increased tear break up time (45%) whereas another 10 (45%) showed null associations.

CONCLUSIONS

Most SDOH indicators studied were associated with unfavorable dry eye measures, such as a higher disease burden, worse symptoms, or delayed referral, in the United States. Future investigations between SDOH and dry eye should use standardized instruments and address the domains in which there is an evidence gap.

Specialty drug use for autoimmune conditions varies by race and wage among employees with employer-sponsored health insurance

BACKGROUND

The relationship between race and ethnicity, wage status, and specialty medication (SpRx) use among employees with autoimmune conditions (AICs) is poorly understood. Insight into sociodemographic variations in use of these medications can inform health equity improvement efforts.

OBJECTIVE

To assess the association of race and ethnicity and wage status on SpRx use and adherence patterns among employees with AICs enrolled in employer-sponsored health insurance.

METHODS

In this observational, retrospective cohort analysis, data were obtained from the IBM Watson MarketScan database for calendar year 2018. Employees were separated into race and ethnicity subgroups based on employer-provided data. Midyear employee wage data were used to allocate employees into the following annual income quartiles: $47,000 or less, $47,001-$71,000, $71,001-$106,000, and $106,001 or more. The lowest quartile was further divided into 2 groups ($35,000 or less and $35,001-$47,000) to better evaluate subgroup differences. Outcomes included monthly days SpRx-AIC supply, proportion of days covered (PDC), and medication discontinuation rates. Generalized linear regressions were used to assess differences while adjusting for patient and other characteristics.

RESULTS

From a sample of more than 2,000,000 enrollees, race and ethnicity data were available for 617,117 (29.8%). Of those, 47,839 (7.8%) were identified as having an AIC of interest, with prevalence rates of AICs differing by race within wage categories. Among those with AICs, 5,358 (11.2%) had filled at least 1 SpRx-AIC prescription. Following adjustment, except for the highest wage category, prevalence of SpRx-AIC use was significantly less among Black and Hispanic subpopulations. Black patients had significantly lower SpRx-AIC use rates than White patients (≤$35,000: 4.9 vs 9.4%, >$35,000-$47,000: 5.5 vs 10.6%, >$47,000-$71,000: 8.5 vs 11.1%, and >$71,000-$106,000: 9.1 vs 12.7%; P <0.001 for all). For Hispanic patients, prevalence rates were significantly lower than White patients in 3 different wage categories (≤$35,000: 4.5 vs 9.4%, >$35,000-$47,000: 6.1 vs 10.6%, and >$71,000-$106,000: 8.6 vs 12.7%; P < 0.001). PDC and 90-day discontinuation rates did not differ among race and ethnicity groups within the respective wage bands.

CONCLUSIONS

Race and ethnicity and wage-related disparities exist in SpRx use, but not PDC or discontinuation rates for treatment of AICs among non-White and low-income populations with employer-sponsored insurance, and may adversely impact clinical outcomes.

Latiné immigrant heterogeneity: Striking health differences among Cuban refugee/migration waves to the United States

Latiné people differ markedly in our lived experiences in ways that are underappreciated. Meanwhile, variations in social experiences are known to be associated with differential health outcomes. We test whether immigration history is associated with health differences among U.S.-based Cuban refugees. Cubans from the circum-1980 Mariel Boatlift migration wave reported significantly higher instances of disability than Early Cuban Exiles, Freedom Flight refugees, and Special Period refugees. We also interviewed Miami-based Cubans. Participants described heightened discrimination in 1980s Cuba and U.S., which we hypothesize contributed to higher instances of disability refugees of that era. By understanding how differential social experiences shape health, we aim to provide a nuanced understanding of the social determinants of health and the ways adverse experiences can be combated.

Willingness to Use Digital Health Screening and Tracking Tools for Public Health in Sexual Minority Populations in a National Probability Sample: Quantitative Intersectional Analysis

BACKGROUND

Little is known about sexual minority adults' willingness to use digital health tools, such as pandemic-related tools for screening and tracking, outside of HIV prevention and intervention efforts for sexual minority men, specifically. Additionally, given the current cultural climate in the United States, heterosexual and sexual minority adults may differ in their willingness to use digital health tools, and there may be within-group differences among sexual minority adults.

OBJECTIVE

This study compared sexual minority and heterosexual adults' willingness to use COVID-19-related digital health tools for public health screening and tracking and tested whether sexual minority adults differed from each other by age group, gender, and race or ethnicity.

METHODS

We analyzed data from a cross-sectional, national probability survey (n=2047) implemented from May 30 to June 8, 2020, in the United States during the height of the public health response to the COVID-19 pandemic. Using latent-variable modeling, heterosexual and sexual minority adults were tested for differences in their willingness to use digital health tools for public health screening and tracking. Among sexual minority adults, specifically, associations with age, gender, and race or ethnicity were assessed.

RESULTS

On average, sexual minority adults showed greater willingness to use digital health tools for screening and tracking than heterosexual adults (latent factor mean difference 0.46, 95% CI 0.15-0.77). Among sexual minority adults, there were no differences by age group, gender, or race or ethnicity. However, African American (b=0.41, 95% CI 0.19-0.62), Hispanic or Latino (b=0.36, 95% CI 0.18-0.55), and other racial or ethnic minority (b=0.54, 95% CI 0.31-0.77) heterosexual adults showed greater willingness to use digital health tools for screening and tracking than White heterosexual adults.

CONCLUSIONS

In the United States, sexual minority adults were more willing to use digital health tools for screening and tracking than heterosexual adults. Sexual minority adults did not differ from each other by age, gender, or race or ethnicity in terms of their willingness to use these digital health tools, so no sexual orientation-based or intersectional disparities were identified. Furthermore, White heterosexual adults were less willing to use these tools than racial or ethnic minority heterosexual adults. Findings support the use of digital health tools with sexual minority adults, which could be important for other public health-related concerns (eg, the recent example of mpox). Additional studies are needed regarding the decision-making process of White heterosexual adults regarding the use of digital health tools to address public health crises, including pandemics or outbreaks that disproportionately affect minoritized populations.

Common practices for sociodemographic data reporting in digital mental health intervention research: a scoping review

BACKGROUND

The ability of digital mental health interventions (DMHIs) to reduce mental health disparities relies on the recruitment of research participants with diverse sociodemographic and self-identity characteristics. Despite its importance, sociodemographic reporting in research is often limited, and the state of reporting practices in DMHI research in particular has not been comprehensively reviewed.

OBJECTIVES

To characterise the state of sociodemographic data reported in randomised controlled trials (RCTs) of app-based DMHIs published globally from 2007 to 2022.

METHODS

A scoping review of RCTs of app-based DMHIs examined reporting frequency for 16 sociodemographic domains (eg, gender) and common category options within each domain (eg, woman). The search queried five electronic databases. 5079 records were screened and 299 articles were included.

RESULTS

On average, studies reported 4.64 (SD=1.79; range 0-9) of 16 sociodemographic domains. The most common were age (97%) and education (67%). The least common were housing situation (6%), residency/location (5%), veteran status (4%), number of children (3%), sexual orientation (2%), disability status (2%) and food security (<1%). Gender or sex was reported in 98% of studies: gender only (51%), sex only (28%), both (<1%) and gender/sex reported but unspecified (18%). Race or ethnicity was reported in 48% of studies: race only (14%), ethnicity only (14%), both (10%) and race/ethnicity reported but unspecified (10%).

CONCLUSIONS

This review describes the widespread underreporting of sociodemographic information in RCTs of app-based DMHIs published from 2007 to 2022. Reporting was often incomplete (eg, % female only), unclear (eg, the conflation of gender/sex) and limited (eg, only options representing majority groups were reported). Trends suggest reporting has somewhat improved in recent years. Diverse participant populations must be welcomed and described in DMHI research to broaden learning and the generalisability of results, a prerequisite of DMHI's potential to reduce disparities in mental healthcare.

A novel application of interrupted time series analysis to identify the impact of a primary health care reform on intersectional inequities in avoidable hospitalizations in the adult Swedish population

Primary health care (PHC) systems are a crucial instrument for achieving equitable population health, but there is little evidence of how PHC reforms impact equities in population health. In 2010, Sweden implemented a reform that promoted marketization and privatization of PHC. The present study uses a novel integration of intersectionality-informed and evaluative epidemiological analytical frameworks to disentangle the impact of the 2010 Swedish PHC reform on intersectional inequities in avoidable hospitalizations. The study population comprised the total Swedish population aged 18-85 years across 2001-2017, in total 129 million annual observations, for whom register data on sociodemographics and hospitalizations due to ambulatory care sensitive conditions were retrieved. Multilevel Analysis of Individual Heterogeneity and Discriminatory Analyses (MAIHDA) were run for the pre-reform (2001-2009) and post-reform (2010-2017) periods to provide a mapping of inequities. In addition, random effects estimates reflecting the discriminatory accuracy of intersectional strata were extracted from a series MAIHDAs run per year 2001-2017. The estimates were re-analyzed by Interrupted Time Series Analysis (ITSA), in order to identify the impact of the reform on measures of intersectional inequity in avoidable hospitalizations. The results point to a complex reconfiguration of social inequities following the reform. While the post-reform period showed a reduction in overall rates of avoidable hospitalizations and in age disparities, socioeconomic inequities in avoidable hospitalizations, as well as the importance of interactions between complex social positions, both increased. Socioeconomically disadvantaged groups born in the Nordic countries seem to have benefited the least from the reform. The study supports a greater attention to the potentially complex consequences that health reforms can have on inequities in health and health care, which may not be immediate apparent in conventional evaluations of either population-average outcomes, or by simple evaluations of equity impacts. Methodological approaches for evaluation of complex inequity impacts need further development.

Admitting the heterogeneity of social inequalities: intersectionality as a (self-)critical framework and tool within mental health care

Inequities shape the everyday experiences and life chances of individuals at the margins of societies and are often associated with lower health and particular challenges in accessing quality treatment and support. This fact is even more dramatic for those individuals who live at the nexus of different marginalized groups and thus may face multiple discrimination, stigma, and oppression. To address these multiple social and structural disadvantages, intersectional approaches have recently gained a foothold, especially in the public health field. This study makes an empirically informed argument for the merits of increasing the use of intersectional frameworks in the mental health field. In the mental health field, the potential for greater attention to multiple unjustified disadvantages appears to be of particular importance, as many mental health service users already face stigma and discrimination because of their mental health issues and thus may benefit particularly frequently and far-reachingly from effective problem awareness about multiple disadvantages. Intersectional approaches may help address the complexity, interdependence, and mutual constitution of social inequalities better than previous approaches that examined only one category of sociostructural stratification. By helping to identify the needs of those at the greatest risk of poor health, intersectional frameworks and tools can contribute not only to better address the needs of multiple disadvantaged individuals with mental health issues but also to the promotion of equity in the field of mental health, contributing to the reduction of health disparities.

A Quantitative Intersectionality Analysis of HIV/STI Prevention and Healthcare Access Among Transgender and Nonbinary People

BACKGROUND

Transgender and nonbinary people experience substantial barriers to accessing healthcare, including prevention of HIV and other sexually transmitted infections (HIV/STI), due to structural inequities. We examined differences in insurance, HIV/STI prevalence, testing, and preexposure prophylaxis use among transgender and nonbinary people living in Washington State by race and ethnicity and gender.

METHODS

We pooled data from five 2019-2021 Washington State HIV/STI surveillance data sources to obtain a large and diverse sample of 1648 transgender and nonbinary participants. We calculated the risk difference (RD) for each outcome and used Poisson regression to estimate a surrogate measure of additive interaction-attributable proportion (AP)-that measures the proportion of the excess prevalence of the outcome observed at the intersection of gendered and racialized experience, beyond that expected from gender or race and ethnicity alone.

RESULTS

Participants reported overall high levels of poverty (29% incomes <$15,000 and 7% unstable housing). Certain groups, especially racial/ethnic minority transgender women, were disproportionately impacted by HIV/STIs (RDs from 20% to 43% and APs from 50% to 85%) and less likely to currently have insurance (RDs from 25% to 39% and APs from 74% to 93%) than that expected based on gendered or racialized experience alone.

CONCLUSIONS

Our findings highlight the heterogeneity in insurance access, HIV/STI positivity, and prevention utilization within transgender communities. We observed that a large proportion of increased HIV/STI prevalence among racial/ethnic minority transgender women was attributable to the intersection of gender and race and ethnicity. Our findings highlight the importance of trans-inclusive models of HIV/STI prevention that address multilevel barriers rooted in cissexism and structural racism.

Treatment Disparities Partially Mediate Socioeconomic- and Race/Ethnicity-Based Survival Disparities in Stage I-II Hepatocellular Carcinoma

BACKGROUND

Low socioeconomic status (SES) patients with early-stage hepatocellular carcinoma (HCC) receive procedural treatments less often and have shorter survival. Little is known about the extent to which these survival disparities result from treatment-related disparities versus other causal pathways. We aimed to estimate the proportion of SES-based survival disparities that are mediated by treatment- and facility-related factors among patients with stage I-II HCC.

METHODS

We analyzed patients aged 18-75 years diagnosed with stage I-II HCC in 2008-2016 using the National Cancer Database. Inverse odds weighting mediation analysis was used to calculate the proportion mediated by three mediators: procedure type, facility volume, and facility procedural interventions offered. Intersectional analyses were performed to determine whether treatment disparities played a larger role in survival disparities among Black and Hispanic patients.

RESULTS

Among 46,003 patients, 15.0% had low SES, 71.6% had middle SES, and 13.4% had high SES. Five-year overall survival was 46.9%, 39.9%, and 35.7% among high, middle, and low SES patients, respectively. Procedure type mediated 45.9% (95% confidence interval [CI] 31.1-60.7%) and 36.7% (95% CI 25.7-47.7%) of overall survival disparities for low and middle SES patients, respectively, which was more than was mediated by the two facility-level mediators. Procedure type mediated a larger proportion of survival disparities among low-middle SES Black (46.6-48.2%) and Hispanic patients (92.9-93.7%) than in White patients (29.5-29.7%).

CONCLUSIONS

SES-based disparities in use of procedural interventions mediate a large proportion of survival disparities, particularly among Black and Hispanic patients. Initiatives aimed at attenuating these treatment disparities should be pursued.

Socioeconomic conditions and children's mental health and quality of life during the COVID-19 pandemic: An intersectional analysis

BACKGROUND

Children and adolescents are highly vulnerable to the impact of sustained stressors during developmentally sensitive times. We investigated how demographic characteristics intersect with socioeconomic dimensions to shape the social patterning of quality of life and mental health in children and adolescents, two years into the COVID-19 pandemic.

METHODS

We used data from the prospective SEROCoV-KIDS cohort study of children and adolescents living in Geneva (Switzerland, 2022). We conducted an intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy by nesting participants within 48 social strata defined by intersecting sex, age, immigrant background, parental education and financial hardship in Bayesian multilevel logistic models for poor health-related quality of life (HRQoL, measured with PedsQL) and mental health difficulties (measured with the Strengths and Difficulties Questionnaire).

RESULTS

Among participants aged 2-17 years, 240/2096 (11.5%, 95%CI 10.1-12.9) had poor HRQoL and 105/2135 (4.9%, 95%CI 4.0-5.9) had mental health difficulties. The predicted proportion of poor HRQoL ranged from 3.4% for 6-11 years old Swiss girls with highly educated parents and no financial hardship to 34.6% for 12-17 years old non-Swiss girls with highly educated parents and financial hardship. Intersectional strata involving adolescents and financial hardship showed substantially worse HRQoL than their counterparts. Between-stratum variations in the predicted frequency of mental health difficulties were limited (range 4.4%-6.5%).

CONCLUSIONS

We found considerable differences in adverse outcomes across social strata. Our results suggest that, post-pandemic, interventions to address social inequities in HRQoL should focus on specific intersectional strata involving adolescents and families experiencing financial hardship, while those aiming to improve mental health should target all children and adolescents.

A multistate approach for the study of interventions on an intermediate time-to-event in health disparities research

We propose a novel methodology to quantify the effect of stochastic interventions for a non-terminal intermediate time-to-event on a terminal time-to-event outcome. Investigating these effects is particularly important in health disparities research when we seek to quantify inequities in the timely delivery of treatment and its impact on patients' survival time. Current approaches fail to account for time-to-event intermediates and semi-competing risks arising in this setting. Under the potential outcome framework, we define causal contrasts relevant in health disparities research and provide identifiability conditions when stochastic interventions on an intermediate non-terminal time-to-event are of interest. Causal contrasts are estimated in continuous time within a multistate modeling framework and analytic formulae for the estimators of the causal contrasts are developed. We show via simulations that ignoring censoring in intermediate and/or terminal time-to-event processes or ignoring semi-competing risks may give misleading results. This work demonstrates that a rigorous definition of the causal effects and joint estimation of the terminal outcome and intermediate non-terminal time-to-event distributions are crucial for valid investigation of interventions and mechanisms in continuous time. We employ this novel methodology to investigate the role of delaying treatment uptake in explaining racial disparities in cancer survival in a cohort study of colon cancer patients.

When social identities intersect: understanding inequities in growth outcomes by religion- caste and religion-tribe as intersecting strata of social hierarchy for Muslim and Hindu children in India

BACKGROUND

Minority social status determined by religion, caste and tribal group affiliations, are usually treated as independent dimensions of inequities in India. This masks relative privileges and disadvantages at the intersections of religion-caste and religion-tribal group affiliations, and their associations with population health disparities.

METHODS

Our analysis was motivated by applications of the intersectionality framework in public health, which underlines how different systems of social stratification mutually inform relative access to material resources and social privilege, that are associated with distributions of population health. Based on this framework and using nationally representative National Family Health Surveys of 1992-93, 1998-99, 2005-06, 2015-16 and 2019-21, we estimated joint disparities by religion-caste and religion-tribe, for prevalence of stunting, underweight and wasting in children between 0-5 years of age. As indicators of long- and short-term growth interruptions, these are key population health indicators capturing developmental potential of children. Our sample included Hindu and Muslim children of <  = 5 years, who belonged to Other (forward) castes (the most privileged social group), Other Backward Classes (OBCs), Schedule Castes (SCs) and Schedule Tribe (STs). Hindu-Other (forward) caste, as the strata with the dual advantages of religion and social group was specified as the reference category. We specified Log Poisson models to estimate multiplicative interactions of religion- caste and religion-tribe identities on risk ratio scales. We specified variables that may be associated with caste, tribe, or religion, as dimensions of social hierarchy, and/or with child growth as covariates, including fixed effects for states, survey years, child's age, sex, household urbanicity, wealth, maternal education, mother's height, and weight. We assessed patterns in growth outcomes by intersectional religion-caste and religion-tribe subgroups nationally, assessed their trends over the last 30 years, and across states.

FINDINGS

The sample comprised 6,594, 4,824, 8,595, 40,950 and 3,352 Muslim children, and 37,231, 24,551, 35,499, 1,87,573 and 171,055 Hindu children over NFHS 1, 2, 3, 4, and 5, respectively. As one example anthropometric outcome, predicted prevalence of stunting among different subgroups were as follows- Hindu Other: 34.7% (95%CI: 33.8, 35.7), Muslim Other: 39.2% (95% CI: 38, 40.5), Hindu OBC: 38.2 (95%CI: 37.1, 39.3), Muslim OBC: 39.6% (95%CI: 38.3, 41), Hindu SCs: 39.5% (95%CI: 38.2, 40.8), Muslims identifying as SCs: 38.5% (95%CI: 35.1, 42.3), Hindu STs: 40.6% (95% CI: 39.4, 41.9), Muslim STs: 39.7% (95%CI: 37.2, 42.4). Over the last three decades, Muslims always had higher prevalence of stunting than Hindus across caste groups. But this difference doubled for the most advantaged castes (Others) and reduced for OBCs (less privileged caste group). For SCs, who are the most disadvantaged caste group, the Muslim disadvantage reversed to an advantage. Among tribes (STs), Muslims always had an advantage, which reduced over time. Similar directions and effect sizes were estimated for prevalence of underweight. For prevalence of wasting, effect sizes were in the same range, but not statistically significant for two minority castes-OBCs and SCs.

INTERPRETATION

Hindu children had the highest advantages over Muslim children when they belonged to the most privileged castes. Muslim forward caste children were also disadvantaged compared to Hindu children from deprived castes (Hindu OBCs and Hindu SCs), in the case of stunting. Thus, disadvantages from a socially underprivileged religious identity, seemed to override relative social advantages of forward caste identity for Muslim children. Disadvantages born of caste identity seemed to take precedence over the social advantages of Hindu religious identity, for Hindu children of deprived castes and tribes. The doubly marginalized Muslim children from deprived castes were always behind their Hindu counter parts, although their differentials were less than that of Muslim-Hindu children of forward castes. For tribal children, Muslim identity seemed to play a protective role. Our findings indicate monitoring child development outcomes by subgroups capturing intersectional social experiences of relative privilege and access from intersecting religion and social group identities, could inform policies to target health disparities.

An intersectional approach to understanding the correlates of depression in college students: Discrimination, social status, and identity

OBJECTIVE

We assessed the impact of bearing multiple marginalized identities, experiencing discrimination and perceived social status on the prevalence of depression in college students using an intersectional approach.

PARTICIPANTS

Public health students at a diverse urban public university in Northern California (N = 338, response rate = 85%; 77% women, mean age 22).

METHODS

We used a cross-sectional survey to assess demographics, depression, discrimination and social standing using validated scales and estimate the relations between depression and co-factors.

RESULTS

25.4% of students reported depression. Discrimination was associated with a higher level of depression and more severe symptoms. Higher perceived social status was associated with a lower level of depression and less severe symptoms. Hispanic/Latinx first generation women had three times the prevalence of depression as non-Hispanic/Latinx non-first generation men and there was a significant disparity in depression severity.

CONCLUSIONS

Intersectional approaches can shed light on the experiences of marginalized groups.

An intersectional analysis of historical and contemporary structural racism on non-fatal shootings in Baltimore, Maryland

Introduction Non-fatal shooting rates vary tremendously within cities in the USA. Factors related to structural racism (both historical and contemporary) could help explain differences in non-fatal shooting rates at the neighbourhood level. Most research assessing the relationship between structural racism and firearm violence only includes one dimension of structural racism. Our study uses an intersectional approach to examine how the interaction of two forms of structural racism is associated with spatial non-fatal shooting disparities in Baltimore, Maryland. Methods We present three additive interaction measures to describe the relationship between historical redlining and contemporary racialized economic segregation on neighbourhood-level non-fatal shootings. Results Our findings revealed that sustained disadvantage census tracts (tracts that experience contemporary socioeconomic disadvantage and were historically redlined) have the highest burden of non-fatal shootings. Sustained disadvantage tracts had on average 24 more non-fatal shootings a year per 10 000 residents compared with similarly populated sustained advantage tracts (tracts that experience contemporary socioeconomic advantage and were not historically redlined). Moreover, we found that between 2015 and 2019, the interaction between redlining and racialized economic segregation explained over one-third of non-fatal shootings (approximately 650 shootings) in sustained disadvantage tracts. Conclusion These findings suggest that the intersection of historical and contemporary structural racism is a fundamental cause of firearm violence inequities in Baltimore. Intersectionality can advance injury prevention research and practice by (1) serving as an analytical tool to expose inequities in injury-related outcomes and (2) informing the development and implementation of injury prevention interventions and policies that prioritise health equity and racial justice.

Race/ethnicity, sleep duration, and mortality risk in the United States

Current evidence and professional guidance recommend sleeping between 7 and 9 h in a 24-h period for optimal health. The present study examines the association between sleep duration and mortality and assesses whether this association varies by racial/ethnic identity for a large and diverse sample of United States adults. We use data on 274,836 adults, aged 25 and older, from the 2004-2014 waves of the National Health Interview Survey (NHIS) linked to prospective mortality through 2015 (23,382 deaths). Cox proportional hazards models were used in multi-variable regressions to estimate hazard ratios for mortality by sleep duration and racial/ethnic identity, controlling for sociodemographic, socioeconomic, and psychological distress variables. We find elevated risks of mortality from any cause for adults who sleep less than 5 h or more than 9 h in a 24-h period after all adjustments. Further, we find evidence that these elevated risks for mortality are more pronounced for some racial/ethnic groups and less pronounced for others. Improved understanding of differences in sleep duration and sleep health can facilitate more effective and culturally-tailored interventions around sleep health, improving overall well-being and enhancing longevity.

Intersecting identities and adolescent depression: Patterns of depressed mood and anhedonia in the past decade

BACKGROUND

Research suggests adolescent depression is increasing and certain adolescents may be uniquely vulnerable. However, limited conceptualizations of identity and time, as well as the reliance on unitary conceptualizations of depression, inhibits a nuanced perspective on these trends. In response, we examined how adolescent depressive symptoms, depressed mood, and anhedonia, vary across intersecting identities over time.

METHODS

Secondary data analysis on the National Survey on Drug Use and Health between 2009 and 2017 was conducted. In total 145,499 nationally representative adolescents (ages 12-17) completed a diagnostic assessment for depression. Lifetime and past year reports of depressive symptoms, depressed mood, and anhedonia were treated as separate variables. A novel, mixed-level model in which participants were nested within identity (defined by one's age, gender, race/ethnicity, poverty level) and time was used to test our aims.

RESULTS

Overall, the relation between depression outcomes and identity did not vary over time (p > .01). Further, identity's impact on depression was approximately ten-fold that of temporal effects. Multiracial, late adolescent, female adolescents were at particular risk. Findings concerning depressed mood and anhedonia were similar across analyses.

LIMITATIONS

All facets of identity (e.g., sexual identity) were not included in the model and a unidimensional measure of poverty may have underestimated its depressogenic influence.

CONCLUSION

Adolescent depression outcomes are mostly consistent across criterial symptom subtypes and time, but vary as a function of identity. Prevention protocols that highlight mechanisms of risk tethered to social identity, and include salient experiences of females, late adolescents, and multiracial youth in particular, need to be prioritized in mental health initiatives.

The experience of hate incidents across racial and ethnic groups during the COVID-19 pandemic

Introduction

Racism is a root cause of ill health for communities of color, and hate incidents are one manifestation of racism. Marginalized racial and ethnic groups, including but not limited to Asian Americans, have been the target of highly publicized violence, hate, and discrimination which has been amplified during the COVID-19 pandemic.

Objectives

This paper investigates (1) the prevalence of hate incidents across racial and ethnic groups, and (2) the relationship between race and ethnicity and hate incidents during the first year of the COVID-19 pandemic. We also seek to (3) situate study findings within theories of racism.

Methods

This study utilizes national data from the Understanding America Study (UAS) COVID-19 Longitudinal Survey from June 10, 2020 to March 30, 2021 (n = 8,436). Hate incidents in six categories were examined: being treated with less courtesy, receiving poorer service, others acting as if they were not smart, others acting as if they were afraid of them, being threatened or harassed, and experiencing any of the previous categories of hate incidents. Main analyses were conducted via population averaged logistic panel regression.

Results

The majority of members of all six marginalized racial and ethnic groups reported at least one hate incident during the first year of the COVID-19 pandemic. In addition, all marginalized racial or ethnic groups had statistically significant higher odds of experiencing at least two categories of hate incidents compared to white individuals. Asian, AI/AN, Black, and Multiracial groups had significantly higher odds of experiencing each category of hate incident. All marginalized racial and ethnic groups had significantly higher odds of receiving poorer service and others acting as if they were afraid of them.

Conclusion

All marginalized racial and ethnic groups experienced significant levels of hate incidents within the first year of the COVID-19 pandemic. The public health community must continue to research, monitor, treat, and prevent hate incidents as a public health issue while recognizing the social and historical contexts of structural and interpersonal racism in the US.

Disparities in fruit and vegetable intake at the intersection of gender and education in northern Sweden: a cross-sectional study

BACKGROUND

Even though the existence of inequalities in fruit and vegetable consumption has been well established, it is not clear how it is patterned across intersections of multiple social positions and identities. This study aims to investigate disparities in fruit and vegetable intake between groups at the intersection of education and gender in northern Sweden, and to estimate the discriminatory accuracy of the intersectional groups.

METHODS

Cross-sectional data from the 2018 Health on Equal Terms survey conducted in four regions in northern Sweden was used (N = 21,853). Four intersectional groups were created: high and low educated men, and high and low educated women. Prevalence differences corresponding to joint, referent, and excess intersectional inequalities, were estimated for three outcomes: inadequate fruit and vegetable intake combined, inadequate fruit intake, and inadequate vegetable intake. The discriminatory accuracy of the intersectional groups was estimated by the area under the receiver operating characteristic curve.

RESULTS

Low educated men had the highest prevalence of inadequate intake of fruits and vegetables combined (81.4%), fruits (83.4%), and vegetables (84.9%), while high educated women had the lowest (47.7, 60.2, and 51.8%, respectively). The joint disparities between high educated women and low educated men were both significant and substantial for all outcomes (34.6 percentage points (pp.), 25.2 pp., and 31.2 pp., adjusted), although differences in magnitude were noted between fruit and vegetable intake. The joint disparities were mostly explained by the two referent disparities for gender and education. The excess intersectional disparity - the part of the joint disparity not explained by either referent disparity - was negative for all three outcomes (-5.5 pp., - 4.2 pp., and - 4.6 pp. respectively, adjusted). The discriminatory accuracy of the intersectional groups was moderate (0.67, 0.65, and 0.68 respectively).

CONCLUSIONS

An intersectional approach can provide a more detailed view of inequalities in fruit and vegetable consumption between groups combining several social positions. The moderate discriminatory accuracy observed here suggests that interventions and policies aiming to reduce diet inequalities should not solely be targeted at certain groups, but also be universal.

Racial/ethnic disparities in severe maternal morbidity: An intersectional lifecourse approach

Despite long-existing calls to address alarming racial/ethnic gaps in severe maternal morbidity (SMM), research that considers the impact of intersecting social inequities on SMM risk remains scarce. Invoking intersectionality theory, we sought to assess SMM risk at the nexus of racial/ethnic marginalization, weathering, and neighborhood/individual socioeconomic disadvantage. We used birth hospitalization records from California across 20 years (1997-2017, N = 9,806,406) on all live births ≥20 weeks gestation. We estimated adjusted average predicted probabilities of SMM at the combination of levels of race/ethnicity, age, and neighborhood deprivation or individual socioeconomic status (SES). The highest risk of SMM was observed among Black birthing people aged ≥35 years who either resided in the most deprived neighborhoods or had the lowest SES. Black birthing people conceptualized to be better off due to their social standing (aged 20-34 years and living in the least deprived neighborhoods or college graduates) had comparable and at times worse risk than White birthing people conceptualized to be worse off (aged ≥35 years and living in the most deprived neighborhoods or had a high-school degree or less). Our findings highlight the need to explicitly address structural racism as the driver of racial/ethnic health inequities and the imperative to incorporate intersectional approaches.

Intersectionality of Sexual Orientation With Race and Ethnicity and Associations With E-Cigarette Use Status Among U.S. Youth

INTRODUCTION

Although structural discrimination against sexual and racial/ethnicity minorities is a putative risk factor for youth tobacco use, understanding health disparities in youth E-cigarette use at the intersection of sexual orientation, race, and ethnicity is still lacking. This study aims to examine the differences in E-cigarette use prevalence among U.S. youth at the intersections of sexual orientation with race and ethnicity.

METHODS

E-cigarette use status (never, experimental, or current use) was analyzed among 38,510 U.S. youth using a pooled data set from the Youth Risk Behavior Surveillance System 2015-2019. The weighted E-cigarette use status between youth at the intersections of sexual orientation with race and ethnicity was reported, stratified by sex. Multivariable multinomial regression adjusting for relevant covariates was further conducted. Data analyses were performed in April 2022.

RESULTS

After controlling for other covariates, the RRR of current E-cigarette use compared with never use between lesbian Black girls (and heterosexual Black girls) was higher than between lesbian White girls (and heterosexual White girls) (adjusted RRR=6.99; 95% CI=2.21, 22.14). The RRR of current E-cigarette use compared with never use between lesbian other race/multiracial girls (and heterosexual other race/multi-racial girls) was higher than between lesbian White girls (and heterosexual White girls) (adjusted RRR=3.60; 95% CI=1.06, 12.26).

CONCLUSIONS

This study has shown that sexual minority Black girls were more likely to currently use E-cigarettes than heterosexual Black girls. Future studies should examine the underlying reasons for current E-cigarette use among girls with intersectional identities, including race and sexual orientation.

Social Determinants Associated With Exposure to Childhood Parental Bereavement and Subsequent Risk for Psychiatric Disorders

IMPORTANCE

Prevalence of childhood parental death varies by race and ethnicity and socioeconomic status, yet whether similar variation persists in the association with lifetime psychiatric disorder is unknown.

OBJECTIVE

To assess whether race and ethnicity and parental educational attainment are associated with the risk of death of a parent; to determine whether the risk for lifetime psychiatric disorder associated with death of a parent was moderated by race and ethnicity and highest parental educational attainment; and to examine a potential intersection of race and ethnicity with parental educational attainment in the risk of lifetime psychiatric disorder associated with death of a parent.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data from the National Comorbidity Study: Adolescent Supplement (NCS-A), 2001 to 2004. Participants included youth aged 13 to 18 years, restricted to Black, Hispanic, and White youth due to power limitations. Data were analyzed from February 26, 2021, to April 21, 2022.

EXPOSURE

Death of a parent during childhood.

MAIN OUTCOMES AND MEASURES

The primary study outcome was any lifetime Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) psychiatric disorder, assess via assessed via structured clinical interviews.

RESULTS

Among 9501 youth (mean [SD] age, 15.2 [1.5] years; 50.9% female), including 511 youth who had experienced parental death and 8990 youth who had not, the cumulative hazard of parental death by age 18 years was approximately doubled for Hispanic (10.1%; 95% CI, 6.9%-14.7%) and Black (14.0%; 95% CI, 10.6%-18.4%) youth compared with White youth (6.0%; 95% CI, 4.7%-7.8%). Similar patterns were noted by parental educational attainment: the cumulative hazard of parental death for youth of parents with less educational attainment was nearly double (10.1%; 95% CI, 8.1%-12.6%) compared with youth of parents with more education (6.6%; 95% CI, 5.2%-8.4%). Death of a parent was positively and significantly associated with risk of any lifetime psychiatric disorder (aOR, 1.34; 95% CI, 1.03-1.75) compared with youth who had not experienced death of a parent. However, this association was not moderated by race and ethnicity (aOR, 1.05; 95% CI, 0.58-1.92) or parental educational attainment (aOR, 1.19; 95%, 0.70-2.04), although power analyses suggest that larger sample sizes are needed.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, Black and Hispanic youth experienced elevated parental death compared with White youth, yet the risk for any lifetime psychiatric disorder after parental death was not significantly moderated by race and ethnicity or parental education. Both individual- and population-level interventions may be needed to address the increased risk of psychiatric disorders, although additional studies with larger sample sizes are needed.

Social determinants of ethno-racial inequalities in substance use: a decomposition of national survey data

BACKGROUND

Similar to the US, mortality due to suicide and the use of opioids, alcohol, and other substances (so-called "Deaths of Despair"), is rising in Canada and has been disproportionately observed among Whites compared to other racial and ethnic groups. This study aimed to assess the determinants of the ethno-racial differences in the use of substances that underlie these deaths.

METHODS

Using nationally representative data from the Canadian Community Health Survey (2003, 2015-2016, 2018 cycles), a decomposition analysis was performed to estimate the contribution of psychosocial determinants, including age, sex, marital status, immigration, education, income, rurality, and affective health on inequalities between White and non-White populations in illicit substance, opioid, and problematic alcohol use and combined use (≥ 2) of substances.

RESULTS

Overall, White respondents reported higher levels (by 5% to 10%) of substance use than non-White peers. Over 30% of the ethno-racial inequalities in illicit substance, problematic alcohol, and polysubstance use are explained by the protective role of immigration among those who are not White, whose low levels of substance use lower the prevalence in the non-White population overall. Among those born in Canada, no ethno-racial differences in substance use were observed.

CONCLUSION

Social determinants, particularly immigrant status, explain a substantial proportion of ethno-racial inequalities in substance use in Canada. The jump in substance use between racialized populations who immigrated to Canada and those Canadian-born highlights the importance of exploring within-group variability in deaths of despair risk and considering how intersecting forces including systemic racism shape substance use patterns across generations.

Ideal cardiovascular health at ELSA-Brasil: non-additivity effects of gender, race, and schooling by using additive and multiplicative interactions

This study aims to assess the non-additivity effects of gender, race, and schooling on ideal cardiovascular health among participants of the Brazilian Longitudinal Study of Adult Health - ELSA-Brasil. This is a cross-sectional study using data from the baseline of ELSA-Brasil, conducted from 2008 to 2010. The American Heart Association defined a score of ideal cardiovascular health (ICH) as the sum of indicators for the presence of seven favorable health factors and behaviors: non-smoking, ideal body mass index, physical activity and healthy diet, adequate levels of total cholesterol, normal blood pressure, and absence of diabetes mellitus. Multiplicative and additive interactions between gender, race, and schooling were assessed using the Poisson regression model to discuss intersectionality. The mean cardiovascular health score was 2.49 (SD = 1.31). This study showed a positive interaction between gender and schooling (women with high school and higher education) in both additive and multiplicative scales for the score of ideal cardiovascular health. We observed a trend towards higher mean values of cardiovascular health for increased schooling, with a marked difference among women. The lowest cardiovascular health scores observed reinforce the importance of understanding the psychosocial experiences that influence health attitudes, access to health care, and healthy lifestyle choices, which affect ICH, to reduce inequities in health and propose more adequate public policies that assist and prevent cardiovascular diseases.

Intersectional invisibility experiences of low-income African-American women in healthcare encounters

BACKGROUND

The disparities that Black/African-American women experience in health care are persistent and staggering. Findings from health outcomes research continue to demonstrate poorer outcomes for African-American women compared to women of other race/ethnicity in several conditions. These racial/ethnic and gender health disparities observed are complex, heavily nuanced and multi-factorial. To understand these, there is a need to apply an 'intersectionality' lens. Intersectionality refers to the experience of persons with multiple intersecting statuses. The objective of this exploratory study was to gain insight into the healthcare experiences of low-income African-American women.

METHODS

In-depth one-on-one interviews were conducted with 22 women and 2 focus group discussions with community leaders and advocates. Investigators conducted a thematic analysis of the transcripts.

RESULTS

The thematic analysis revealed four major themes, which tell the story of the intersectional invisibility experienced by low-income AA women in the healthcare system. These included (1) the perception of 'not feeling heard'; (2) patient as 'expert of her own body'; (3) disregard of patient preferences; and (4) the need for self-advocacy.

CONCLUSIONS

Black/African-American women, and particularly those with socioeconomic disadvantage, experience intersectional invisibility resulting from provider implicit bias, stereotypical assumptions, and systemic structures that enable discriminatory practices in healthcare delivery. Healthcare provider education that more explicitly addresses these biases and stereotypes should be complemented with system-level interventions that aim to dismantle the structural racism inherent in healthcare policies and practices.

Effect of Household Income on Short-Term Outcomes Following Cerebellopontine Angle Tumor Resection

Objectives  The objective of this study is to elucidate the impact of income on short-term outcomes in a cerebellopontine angle (CPA) tumor resection population. Design  This is a retrospective regression analysis. Setting  This study was done at a single, multihospital, urban academic medical center. Participants  Over 6 years (from June 7, 2013, to April 24, 2019), 277 consecutive CPA tumor cases were reviewed. Main Outcome Measures  Outcomes studied included readmission, emergency department evaluation, unplanned return to surgery, return to surgery after index admission, and mortality. Univariate analysis was conducted among the entire population with significance set at a p -value <0.05. The population was divided into quartiles based on median household income and univariate analysis conducted between the lowest (quartile 1 [Q1]) and highest (quartile 4 [Q4]) socioeconomic quartiles, with significance set at a p -value <0.05. Stepwise regression was conducted to determine the correlations among study variables and to identify confounding factors. Results  Regression analysis of 273 patients demonstrated decreased rates of unplanned reoperation ( p  = 0.015) and reoperation after index admission ( p  = 0.035) at 30 days with higher standardized income. Logistic regression between the lowest (Q1) and highest (Q4) socioeconomic quartiles demonstrated decreased unplanned reoperation ( p  = 0.045) and decreasing but not significant reoperation after index admission ( p  = 0.15) for Q4 patients. No significant difference was observed for other metrics of morbidity and mortality. Conclusion  Higher socioeconomic status is associated with decreased risk of unplanned reoperation following CPA tumor resection.

Measuring Structural Racism: A Guide for Epidemiologists and Other Health Researchers

There have been over 100 years of literature discussing the deleterious influence of racism on health. Much of the literature describes racism as a driver of social determinants of health, such as housing, employment, income, and education. More recently, increased attention has been given to measuring the structural nature of a system that advantages one racialized group over others rather than solely relying on individual acknowledgement of racism. Despite these advances, there is still a need for methodological and analytical approaches to complement the aforementioned. This commentary calls on epidemiologists and other health researchers at large to engage the discourse on measuring structural racism. First, we address the conflation between race and racism in epidemiologic research. Next, we offer methodological recommendations (linking of interdisciplinary variables and data sets and leveraging mixed-method and life-course approaches) and analytical recommendations (integration of mixed data, use of multidimensional models) that epidemiologists and other health researchers may consider in health equity research. The goal of this commentary is to inspire the use of up-to-date and theoretically driven approaches to increase discourse among public health researchers on capturing racism as well as to improve evidence of its role as the fundamental cause of racial health inequities.

Disparities in smoking prevalence and associations with mental health and substance use disorders in underserved communities across the United States

BACKGROUND

Smoking contributes to the top 3 deadliest cancers, cancers of the lung, colon, and pancreas, which account for nearly 40% of all cancer-related deaths in the United States. Despite historicly low smoking rates, substantial disparities remain among people with mental health conditions and substance use disorders (SUDs).

METHODS

The study examined the prevalence of smoking among adults from underserved communities who are served at federally qualified health centers through an analysis of the 2014 Health Center Patient Survey. Furthermore, the study assessed associations of smoking with co-occurring mental health conditions and SUDs among adult smokers (n = 1735).

RESULTS

The prevalence of smoking among health center patients was 28.1%. Among current smokers, 59.1% had depression and 45.4% had generalized anxiety. Non-Hispanic Black smokers had more than 2 times the odds of reporting SUDs (adjusted odds ratio [aOR], 2.13; 95% confidence interval [CI], 1.06-4.30). Individuals at or below 100% of the federal poverty level had more than 2 times the odds of having mental health conditions (aOR, 2.55; 95% CI, 1.58-4.11), and those who were unemployed had more than 3 times the odds for SUDs (aOR, 3.21; 95% CI, 1.27-8.10).

CONCLUSIONS

The prevalence of smoking in underserved communities is nearly double the national prevalence. In addition, the study underscores important socioeconomic determinants of health in smoking cessation behavior and the marked disparities among individuals with mental health conditions and SUDs. Finally, the findings illuminate the unique need for tailored treatments supporting cancer prevention care to address challenges confronted by vulnerable populations.

Parental mental health, socioeconomic position and the risk of asthma in children-a nationwide Danish register study

Background

Parental mental illness affects child health. However, less is known about the impact of different severities of maternal depression and anxiety as well as other mental health conditions. The objective of this study was to examine the impact of different severities of maternal and paternal mental health conditions on child asthma.

Methods

This nationwide, register-based cohort study included all children in Denmark born from 2000 to 2014. Exposure was parental mental health conditions categorized in three severities: minor (treated at primary care settings), moderate (all ICD-10 F-diagnoses given at psychiatric hospital) and severe (diagnoses of severe mental illness). The children were followed from their third to sixth birthday. Child asthma was identified by prescribed medication and hospital-based diagnoses. Incidence rate ratios were calculated using negative binomial regression analyses.

Results

The analyses included 925 288 children; 26% of the mothers and 16% of the fathers were classified with a mental health condition. Exposed children were more likely to have asthma (10.6–12.0%) compared with unexposed children (8.5–9.0%). The three severities of mental health conditions of the mother and the father increased the risk of child asthma, most evident for maternal exposure. Additive interaction between maternal mental health conditions and disadvantaged socioeconomic position was found.

Conclusion

We found an increased risk of asthma in exposed children, highest for maternal exposure. Not only moderate and severe, but also minor mental health conditions increased the risk of child asthma. The combination of mental health condition and disadvantaged socioeconomic position for mothers revealed a relative excess risk.

The intersection race/skin color and gender, smoking and excessive alcohol consumption: cross sectional analysis of the Brazilian National Health Survey, 2013

This study aims to investigate whether the intersectional identities defined by race/skin color and gender are associated with smoking and excessive consumption of alcohol in a representative sample of Brazilian adults. This is a cross-sectional study with 48,234 participants in the Brazilian National Health Survey (PNS) - 2013. Crude and adjusted odds ratios (OR) and respective 95% confidence intervals (95%CI) were used to estimate the associations of intersectional categories of race/skin color and gender (white woman, brown woman, black woman, white man, brown man, black man) with smoking and excessive consumption of alcohol, based on the combination of weekly "days" and "servings". The prevalence of smoking varied from 10.6% for white women to 23.1% for black men, while the prevalence of elevated consumption of alcohol ranged from 3.3% to 14%, respectively. In comparison to white women, only white, brown, and black men presented greater chances of smoking, reaching the OR of 2.04 (95%CI: 1.66-2.51) in black men. As to excessive consumption of alcohol, all intersectional categories showed greater chances of consumption than white women, with the greatest magnitude in black men (OR = 4.78; 95%CI: 3.66-6.23). These associations maintained statistical significance after adjustments made for sociodemographic, behavioral, and health characteristics. Results demonstrated differences in smoking habit and excessive consumption of alcohol when the intersectional categories were compared to traditional analyses. These findings reinforce the significance of including intersectionality of race/skin color and gender in epidemiological studies.

An investigation of quantitative methods for assessing intersectionality in health research: A systematic review

Intersectionality is a theoretical framework that investigates how interlocking systems of power and oppression at the societal level influence the lived experiences of historically and socially marginalized groups. Currently, there are no consistent or widely adopted quantitative methods to investigate research questions informed by intersectionality theory. The objective of this systematic review is to describe the current landscape of quantitative methods used to assess intersectionality and to provide recommendations on analytic best practices for future research. We searched PubMed, EMBASE, and the Web of Science in December 2019 to identify studies using analytic quantitative intersectionality approaches published up to December 2019 (PROSPERO CRD42020162686). To be included in the study, articles had to: (1) be empirical research, (2) use a quantitative statistical method, (3) be published in English, and (4) incorporate intersectionality. Our initial search yielded 1889 articles. After screening by title/abstract, methods, and full text review, our final analytic sample included 153 papers. Eight unique classes of quantitative methods were identified, with the majority of studies employing regression with an interaction term. We additionally identified several methods which appear to be at odds with the key tenets of intersectionality. As quantitative intersectionality continues to expand, careful attention is needed to avoid the dilution of the core tenets. Specifically, emphasis on social power is needed as methods continue to be adopted and developed. Additionally, clear explanation of the selection of statistical approaches is needed and, when using regression with interaction terms, researchers should opt for use of the additive scale. Finally, use of methods that are potentially at odds with the tenets of intersectionality should be avoided.

Racial, Ethnic, and Sociodemographic Disparities in Diagnosis of Children with Autism Spectrum Disorder

ABSTRACT

This special article uses a biosocial-ecological framework to discuss findings in the literature on racial, ethnic, and sociodemographic diagnostic disparities in autism spectrum disorder. We draw explanations from this framework on the complex and cumulative influences of social injustices across interpersonal and systemic levels.

Race and Gender Differences in the Association Between Experiences of Everyday Discrimination and Arterial Stiffness Among Patients With Coronary Heart Disease

BACKGROUND

Self-reported experiences of discrimination have been linked to indices of cardiovascular disease. However, most studies have focused on healthy populations. Thus, we examined the association between experiences of everyday discrimination and arterial stiffness among patients with a history of myocardial infarction (MI).

PURPOSE

We hypothesized that higher reports of discrimination would be associated with greater arterial stiffness and that associations would be more pronounced among Black women, in particular, relative to other race-gender groups, using an "intersectionality" perspective.

METHODS

Data were from 313 participants (49.2% female, mean age: 50.8 years) who were 6 months post-MI in the Myocardial Infarction and Mental Stress 2 study. Data were collected via self-reported questionnaires, medical chart review, and a clinic visit during which arterial stiffness was measured noninvasively using pulse wave velocity.

RESULTS

Reports of discrimination were highest in Black men and women and arterial stiffness was greatest in Black and White women. After adjustment for demographics and relevant clinical variables, discrimination was not associated with arterial stiffness in the overall study sample. However, discrimination was associated with increased arterial stiffness among Black women but not White women, White men, or Black men.

CONCLUSIONS

Despite no apparent association between discrimination and arterial stiffness in the overall study sample, further stratification revealed an association among Black women but not other race-gender groups. These data not only support the utility of an intersectionality lens but also suggest the importance of implementing psychosocial interventions and coping strategies focused on discrimination into the care of clinically ill Black women.

Quality and Location of the Surgical Episode Mediate a Large Proportion of Socioeconomic-Based Survival Disparities in Patients with Resected Stage I-III Colon Cancer

INTRODUCTION

Lower socioeconomic status (SES) is associated with shorter overall survival (OS) in patients with locoregional colon cancer. We aimed to estimate: (1) the proportion of SES-based OS disparities mediated by disparities in the quality and location of surgical treatment in patients with resected stage I-III colon cancer and (2) the relative importance of components of surgical quality.

PATIENTS AND METHODS

We examined patients ages 18-80 years with resected stage I-III colon adenocarcinoma using the 2010-2016 National Cancer Database. SES was defined at the zip code level. Inverse odds weighting mediation analysis was used to estimate the proportion mediated (PM) for nine treatment quality-related and facility-related factors and composite PMs in models including all nine mediators. Models compared high SES patients with each lower SES stratum.

RESULTS

Among 171,009 patients, 5-year OS increased from 70.4% in low SES patients to 78.1% in high SES. When high SES patients were compared with low, lower-middle, and upper-middle SES patients, PM ranges among lower SES strata were: minimally invasive surgery 16.0-16.6%, lymph nodes examined 7.7-9.6%, positive margins 3.8-6.5%, length of stay 16.7-28.1%, readmissions insignificant to 3.7%, treatment at > 1 CoC facility 2.7-3.1%, facility type insignificant to 7.3%, facility volume 2.9-8.2%, and adjusted facility 90-day mortality rates 33.2-42.8%. Composite PMs were 76.9% (95% CI 61.3%, 92.4%) for low SES, 68.7% (95% CI 56.4%, 81.1%) for lower-middle SES, and 60.9% (95% CI 43.1%, 78.6%) for upper-middle SES.

CONCLUSIONS

These data suggest that improving the quality of the surgical episode for disadvantaged patients undergoing resection for locoregional colon cancer could decrease SES-based survival disparities by over half.

Intersectional Discrimination and Change in Blood Pressure Control among Older Adults: The Health and Retirement Study

BACKGROUND

Associations between multiple forms of discrimination and blood pressure control in older populations remain unestablished.

METHODS

Participants were 14582 non-institutionalized individuals (59% women) in the Health and Retirement Study aged at least 51 years (76% Non-Hispanic White, 15% Non-Hispanic Black, 9% Hispanic/Latino). Primary exposures included the mean frequency of discrimination in everyday life, intersectional discrimination (defined as marginalization ascribed to more than one reason), and the sum of discrimination over the lifespan. We assessed whether discrimination was associated with change in measured hypertension status (N=14582) and concurrent medication use among reported hypertensives (N=9086) over four years (2008-2014).

RESULTS

There was no association between the frequency of everyday discrimination and change in measured hypertension. Lifetime discrimination was associated with higher odds of hypertension four years later among men (OR: 1.21, 95% CI: 1.08, 1.36) but not women (OR: 0.98, 95% CI: 0.86, 1.13). Only among men, everyday discrimination due at least two reasons was associated with a 1.44 (95% CI: 1.03, 2.01)-fold odds of hypertension than reporting no everyday discrimination; reporting intersectional discrimination was not associated with developing hypertension among women (OR: 0.91, 95% CI: 0.70, 1.20). All three discriminatory measures were inversely related to time-averaged antihypertensive medication use, without apparent gender differences (e.g., OR for everyday discrimination-antihypertensive use associations: 0.85, 95% CI: 0.77, 0.94)).

CONCLUSIONS

Gender differences in marginalization may more acutely elevate hypertensive risk among older men than similarly aged women. Experiences of discrimination appear to decrease the likelihood of antihypertensive medication use among older adults overall.

Vaping disparities at the intersection of gender identity and race/ethnicity in a population-based sample of adolescents

BACKGROUND

Transgender adolescents use vape products (e.g., e-cigarettes) at higher rates than cisgender adolescents. Little is known about how these disparities differ from the intersectional perspective of both gender identity and race/ethnicity.

METHODS

We examined disparities in past 30-day vaping frequency at the intersection of gender identity and race/ethnicity among adolescents participating in two pooled waves of the population-based California Healthy Kids Survey (N=953,445; 2017-19). Generalized linear mixed models included gender identity-by-race/ethnicity interactions and adjusted for potential confounders. Stratified models quantified relationships between gender identity and vaping within race/ethnicity strata and between race/ethnicity and vaping within gender identity strata.

RESULTS

Transgender adolescents of color were more likely to report a higher frequency of vaping than cisgender white adolescents. In models stratified by race/ethnicity, transgender adolescents evidenced greater odds of more frequent vaping than cisgender adolescents of the same race/ethnicity; disparities were greatest between transgender and cisgender Black adolescents (adjusted odds ratio [AOR]: 6.05, 95% CI: 4.76-7.68) and smallest between transgender and cisgender white adolescents (AOR: 1.20, 95% CI: 1.06-1.35). In models stratified by gender identity, disparities were greatest between transgender Black and transgender white adolescents (AOR: 2.85, 95% CI: 2.20-3.70) and smallest between transgender multiracial and white adolescents (AOR: 1.28, 95% CI: 1.05-1.58). Similar, though less consistent, patterns emerged for adolescents of color unsure of their gender identity relative to cisgender white adolescents.

CONCLUSION

Transgender adolescents of color may be especially vulnerable to vaping disparities. Future research should identify and intervene on causal mechanisms undergirding disparities.

IMPLICATIONS

Research finds that transgender adolescents use vape products at higher rates than their cisgender peers, however, little is known about how patterns of adolescent vaping may differ by both gender identity and race/ethnicity-information needed to inform culturally-tailored prevention and control initiatives to decrease adolescent vaping disparities. Our analysis of data from a population-based adolescent health survey finds evidence of magnified disparities in vaping frequency among transgender adolescents of color.

A patient-oriented research approach to assessing patients' and primary care physicians' opinions on trauma-informed care

OBJECTIVE

To gather patients' and primary care physicians' (PCP) opinions on trauma-informed Care (TIC) and to investigate the acceptability of recommendations developed by patient, family, and physician advisors.

DESIGN

Cross-sectional research survey design and patient engagement.

SETTING

Canada, 2017 to 2019.

PARTICIPANTS

English-speaking adults and licensed PCPs residing in Canada.

MAIN OUTCOME MEASURES

Participants were given a series of questionnaires including a list of physician actions and a list of recommendations consistent with TIC.

RESULTS

Patients and PCPs viewed TIC as important. Both patients and PCPs rated the following recommendations as helpful and likely to positively impact patient care: physician training, online trauma resource centres, information pamphlets, the ability to extend appointment times, and clinical pathways for responding to trauma. PCPs' responses were significantly more positive than patients' responses.

CONCLUSION

TIC is important to patients and PCPs. Patients and PCPs believe changes to physician training, patient engagement, and systemic factors would be helpful and likely to positively impact patient care. Future research needs to be conducted to investigate whether these recommendations improve patient care.

Multiple marginalisation and unintended pregnancy among racial/ethnic and sexual minority college women

BACKGROUND

Both sexual minority and racial/ethnic minority women are at increased risk of unintended pregnancy compared to their heterosexual and non-Hispanic white peers, respectively. A recent study suggests the presence of negative interaction between sexual orientation and race/ethnicity, although it was not explicitly assessed.

OBJECTIVES

To characterise the burden of unintended pregnancy across groups defined by intersecting sexual orientation and race/ethnicity and to explore for potential intersectional interaction between social identities.

METHODS

We analysed cross-sectional survey data from the National College Health Assessment collected between Fall 2015 and Spring 2018. The relative risk (RR) of unintended pregnancy among college-attending women aged 18-25 was estimated using multivariable log-binomial regression (n = 177 592). We estimated multiplicative- and additive-scale (relative risk due to interaction, RERI) interaction between race/ethnicity and sexual orientation on the risk of unintended pregnancy; 95% confidence intervals (CI) were estimated using 500 bootstrap replicates.

RESULTS

Unintended pregnancy was rare across all intersecting identity groups (≤1.5%). Compared to heterosexual non-Hispanic white women, all groups of sexual minorities and/or racial/ethnic minorities had a higher risk of unintended pregnancy. This was consistent within strata of sexual orientation and race/ethnicity. We did not find strong evidence of additive-scale interaction between sexual orientation and race/ethnicity (RERI -0.19, 95% CI -0.67, 0.28), but we did find negative multiplicative-scale interaction (interaction RR 0.76, 95% CI 0.59, 0.96).

CONCLUSIONS

These findings illustrate that interactions, which are typically used to quantify intersectional effects, are scale-dependent. This has implications regarding how risk estimates for multiply marginalised groups are interpreted. More broadly, our findings suggest the need to move beyond multiple jeopardy approaches to quantitative intersectional research and consider the upstream factors that may uniquely shape the health status of groups at the nexus of particular social identities.

Beyond Black and White: race and sexual identity as contributors to healthcare system distrust after breast cancer screening among US women

OBJECTIVE

Healthcare system distrust (HCSD) has been linked to poor breast cancer outcomes. Previous HSCD analyses have focused on Black-White disparities; however, focusing only on race ignores the complex set of factors that form identity. We quantified the contributions of race and sexual minority (SM) identity to HCSD among US women who had received breast cancer screening.

METHODS

This cross-sectional study used intersectionality decomposition methods to assess the degree to which racial and SM identity contributed to disparate responses to the validated 9-item HCSD Scale. The sample included online survey participants identifying as a Black or White woman living in the US, with a self-reported abnormal breast cancer screening result in the past 24 months and/or breast cancer diagnosis since 2011.

RESULTS

Of 649 participants, 49.4% of Black SM women (n = 85) were in the highest HCSD tertile, followed by 37.4% of White SM women (n = 123), 24.4% of Black heterosexual women (n = 156), and 19% of White heterosexual women. Controlling for age, 72% of the disparity in HCSD between Black SM women and White heterosexual women was due to SM status, 23% was due to racial identity, and 3% was due to both racial and SM identity.

CONCLUSIONS

SM identity emerged as the largest driver of HCSD disparities; however, the combined racial and SM disparity persisted. Excluding sexual identity in HCSD studies may miss an important contributor. Interventions designed to increase the HCS's trustworthiness at the provider and system levels should address both racism and homophobia.

Intersectional inequalities in mental health across multiple dimensions of inequality in the Swedish adult population

Intersectionality has recently gained traction in health inequality research emphasizing multiple intersecting dimensions of inequality as opposed to the traditional unidimensional approaches. In this study inequalities in mental health were estimated across intersections of gender, income, education, occupation, country of birth, and sexual orientation. The outcomes and inequalities of intersectional strata were disentangled analogously to the possibilities described by intersectionality theory; as a result of either of the two inequality dimensions, as a result of the sum the dimensions, or as a unique outcome not equaling the sum. Furthermore the study examined the discriminatory accuracy of the six inequality dimensions as well as the intersectional space comprising 64 strata. The study population (N = 52,743) consists of a yearly random sample of the Swedish population 26-84 years between 2010 and 2015, from The Health on Equal Terms survey. Mental health was measured through a self-administered General Health Questionnaire (GHQ)-12, and sociodemographics through survey and linked register data. Intersectional inequalities in mental health were estimated for all pairwise combinations of inequality dimensions by joint inequalities, excess intersectional inequalities and referent inequalities. The findings of the study found that the sum of dimensions contributed to the overall (joint) inequality in mental health rather than a reinforced adverse effect of multiple disadvantages or the contribution by a single dimension. Nevertheless, the dimension of income was found to be the most important in terms of relative contribution. The discriminatory accuracy was low indicating that policy action targeting mental health should be universal rather than focusing on particular groups. The results highlight the unpredictable inequality patterns revealed by an intersectional approach, even for a single health outcome and within one country, and illustrate the need for empirical investigations into the actual population patterns in health that appear in the intersections of multiple disadvantages.

Confounding by Socioeconomic Status in Epidemiological Studies of Air Pollution and Health: Challenges and Opportunities

BACKGROUND

Despite a vast air pollution epidemiology literature to date and the recognition that lower-socioeconomic status (SES) populations are often disproportionately exposed to pollution, there is little research identifying optimal means of adjusting for confounding by SES in air pollution epidemiology, nor is there a strong understanding of biases that may result from improper adjustment.

OBJECTIVE

We aim to provide a conceptualization of SES and a review of approaches to its measurement in the U.S. context and discuss pathways by which SES may influence health and confound effects of air pollution. We explore bias related to measurement and operationalization and identify statistical approaches to reduce bias and confounding.

DISCUSSION

Drawing on the social epidemiology, health geography, and economic literatures, we describe how SES, a multifaceted construct operating through myriad pathways, may be conceptualized and operationalized in air pollution epidemiology studies. SES varies across individuals within the contexts of place, time, and culture. Although no single variable or index can fully capture SES, many studies rely on only a single measure. We recommend examining multiple facets of SES appropriate to the study design. Furthermore, investigators should carefully consider the multiple mechanisms by which SES might be operating to identify those SES indicators that may be most appropriate for a given context or study design and assess the impact of improper adjustment on air pollution effect estimates. Last, exploring model contraction and expansion methods may enrich adjustment, whereas statistical approaches, such as quantitative bias analysis, may be used to evaluate residual confounding. https://doi.org/10.1289/EHP7980.

Childhood disadvantage, neurocognitive development and neuropsychiatric disorders: Evidence of mechanisms

PURPOSE OF REVIEW

Children living in socioeconomically disadvantaged households have excess risks of neurodevelopmental and neuropsychiatric problems. The purpose of this review is to synthesize evidence for mechanisms that may contribute to these excess risks.

RECENT FINDINGS

The majority of the 60 studies included in our review focused on children's neurocognitive development and behavioural problems. About half conducted mediation analyses of factors in the family and neighbourhood environments, including access to resources (e.g. cognitive inputs within the home environment) and exposure to stressors (e.g. negative parenting practices), as well as neurobiological embedding of childhood disadvantage. In addition, many studies conducted moderation analyses of factors that were hypothesized to interact with (i.e. exacerbate or mitigate) the harmful effects of childhood disadvantage.

SUMMARY

Many of the factors that contribute to the excess risk of neurodevelopmental and neuropsychiatric problems among children in disadvantaged households are potentially modifiable (e.g. cognitively stimulating materials, parental language input, cultural resources, parental stress and psychopathology, negative parenting, neighbourhood violence). If their causality is ultimately established, they could be targets for the prevention and reduction of disparities. The continued search for mechanisms should not detract from work to reduce and hopefully eliminate children's exposure to disadvantage.

Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods

Background

Intersectionality is a theoretical framework rooted in the premise that human experience is jointly shaped by multiple social positions (e.g. race, gender), and cannot be adequately understood by considering social positions independently. Used widely in qualitative studies, its uptake in quantitative research has been more recent.

Objectives

To characterize quantitative research applications of intersectionality from 1989 to mid-2020, to evaluate basic integration of theoretical frameworks, and to identify innovative methods that could be applied to health research.

Methods

Adhering to PRISMA guidelines, we conducted a systematic review of peer-reviewed articles indexed within Scopus, Medline, ProQuest Political Science and Public Administration, and PsycINFO. Original English-language quantitative or mixed-methods research or methods papers that explicitly applied intersectionality theoretical frameworks were included. Experimental studies on perception/stereotyping and measures development or validation studies were excluded. We extracted data related to publication, study design, quantitative methods, and application of intersectionality.

Results

707 articles (671 applied studies, 25 methods-only papers, 11 methods plus application) met inclusion criteria. Articles were published in journals across a range of disciplines, most commonly psychology, sociology, and medical/life sciences; 40.8% studied a health-related outcome. Results supported concerns among intersectionality scholars that core theoretical tenets are often lost or misinterpreted in quantitative research; about one in four applied articles (26.9%) failed to define intersectionality, while one in six (17.5%) included intersectional position components not reflective of social power. Quantitative methods were simplistic (most often regression with interactions, cross-classified variables, or stratification) and were often misapplied or misinterpreted. Several novel methods were identified.

Conclusions

Intersectionality is frequently misunderstood when bridging theory into quantitative methodology. Further work is required to (1) ensure researchers understand key features that define quantitative intersectionality analyses, (2) improve reporting practices for intersectional analyses, and (3) develop and adapt quantitative methods.

•

Multidisciplinary statistical methods for intersectional research were identified.

•

Regression with intersectional variables was the most frequently used method.

•

Decomposition analyses and decision trees were identified as promising methods.

•

Intersectionality theory and methods literature was infrequently cited in studies.

•

Improvements in reporting of quantitative intersectional research are needed.

Intercategorical and Intracategorical Experiences of Discrimination and HIV Prevalence Among Transgender Women in San Francisco, CA: A Quantitative Intersectionality Analysis

Objectives. To examine differences in HIV prevalence and experiences of discrimination within the trans women community in California's San Francisco Bay Area.Methods. Intersectional positions were constructed on the basis of race/ethnicity (non-Hispanic White, non-Hispanic Black, Latina) and gender identity (female identifying, transgender identifying). We used baseline data from the Trans*National study (2016-2017) to construct regression models that estimated racial/ethnic differences in the attribution of discrimination experienced and, along with surrogate measures for intersectionality, estimated risk among those who were dually marginalized (racial/ethnic minority and transgender identifying). Margins plots were used to visually compare absolute risk across all intersectional positions.Results. Black and Latina trans women were more likely to be HIV positive than non-Hispanic White trans women. In several of the study domains, we estimated a lower risk of reporting discrimination among dually marginalized trans women than among White female-identifying trans women.Conclusions. Quantitative intersectionality methods highlight the diversity of experiences within the trans women community and reveal potential measurement challenges. Despite facing multiple forms of systemic marginalization, racial/ethnic minority trans women report less discrimination than White trans women. Subjective reporting of discrimination likely undercounts risks among racial/ethnic minorities.

Meaningful Causal Decompositions in Health Equity Research: Definition, Identification, and Estimation Through a Weighting Framework

Causal decomposition analyses can help build the evidence base for interventions that address health disparities (inequities). They ask how disparities in outcomes may change under hypothetical intervention. Through study design and assumptions, they can rule out alternate explanations such as confounding, selection bias, and measurement error, thereby identifying potential targets for intervention. Unfortunately, the literature on causal decomposition analysis and related methods have largely ignored equity concerns that actual interventionists would respect, limiting their relevance and practical value. This article addresses these concerns by explicitly considering what covariates the outcome disparity and hypothetical intervention adjust for (so-called allowable covariates) and the equity value judgments these choices convey, drawing from the bioethics, biostatistics, epidemiology, and health services research literatures. From this discussion, we generalize decomposition estimands and formulae to incorporate allowable covariate sets (and thereby reflect equity choices) while still allowing for adjustment of non-allowable covariates needed to satisfy causal assumptions. For these general formulae, we provide weighting-based estimators based on adaptations of ratio-of-mediator-probability and inverse-odds-ratio weighting. We discuss when these estimators reduce to already used estimators under certain equity value judgments, and a novel adaptation under other judgments.

Mothers' Adjustment to Autism: Exploring the Roles of Autism Knowledge and Culture

INTRODUCTION

Autism spectrum disorder (ASD) service-use disparities are well-documented among racial/ethnic minorities. Yet the nuanced impact that culture has on barriers to ASD service-use has not been sufficiently explored among these populations. This study explores the interrelatedness of culture and service-use barriers (i.e., parent ASD knowledge and adjustment) among culturally diverse mothers of children with ASD.

METHODS

Twenty mothers from the Boston area participated in semi-structured qualitative interviews regarding their experiences with ASD. Applied thematic analysis was used to analyze data stratified by ethnicity (Latina vs. non-Latina) and nativity (immigrant vs. U.S. born).

RESULTS

All mothers had similar gains in ASD knowledge after their children's ASD diagnoses. Non-Latina mothers (immigrant and U.S. born) felt empowered by their gained ASD knowledge, while Latina mothers struggled to fully accept their child's diagnosis and were unable to apply their general ASD knowledge to better understand their child's ASD-related needs. Culturally based stigma against ASD, including rejection from the Latino community and internalized self-blame, appeared to drive Latina mothers' beliefs that ASD is an invalid diagnosis for their child.

CONCLUSION

Latina mothers' desire for community acceptance in the context of ASD stigma was a particularly salient cultural value among Latina mothers in this sample. Findings suggest that parent-focused ASD education programs may not sufficiently address ASD service-use disparities for Latina mothers. Rather, ASD education programs that address informational and cultural needs may better promote ASD adjustment among ethnic minority families.

Cumulative Disadvantage and Disparities in Depression and Pain Among Veterans With Osteoarthritis: The Role of Perceived Discrimination

OBJECTIVE

Perceived discrimination is associated with chronic pain and depression and contributes to racial health disparities. In a cohort of older adult veterans with osteoarthritis (OA), our objective was to examine how membership in multiple socially disadvantaged groups (cumulative disadvantage) was associated with perceived discrimination, pain, and depression. We also tested whether perceived discrimination mediated the association of cumulative disadvantage with depression and pain.

METHODS

We analyzed baseline data from 270 African American veterans and 247 White veterans enrolled in a randomized controlled trial testing a psychological intervention for chronic pain at 2 Department of Veterans Affairs medical centers. Participants were age ≥50 years and self-reported symptomatic knee OA. Measures included the Everyday Discrimination Scale, the Patient Health Questionnaire Depression Scale, the Western Ontario and McMaster Universities Osteoarthritis Index pain subscale, and demographic variables. Cumulative disadvantage was defined as the number of socially disadvantaged groups to which each participant belonged (i.e., self-reported female sex, African American race, annual income of <$20,000, and/or unemployed due to disability). We used linear regression models and Sobel's test of mediation to examine hypotheses.

RESULTS

The mean ± SD number of social disadvantages was 1.3 ± 1.0. Cumulative disadvantage was significantly associated with higher perceived discrimination, pain, and depression (P < 0.001 for all). Perceived discrimination significantly mediated the association between cumulative disadvantage and depression symptoms (Z = 3.75, P < 0.001) as well as pain severity (Z = 2.24, P = 0.025).

CONCLUSION

Perceived discrimination is an important psychosocial stressor that contributes to worsening OA-related mental and physical health outcomes, with greater effects among those from multiple socially disadvantaged groups.

Disparities in food insecurity at the intersection of race and sexual orientation: A population-based study of adult women in the United States

Food insecurity affects 1 in 8 American adults annually, and is more prevalent in Black and sexual minority women. We applied an intersectional approach to investigate food insecurity prevalence in women with intersecting minority race and sexual orientation. We used two United States surveillance systems-National Health Interview Survey (NHIS) 2013-2018 and National Health and Nutrition Examination Survey (NHANES) 2005-2014, to estimate how race and sexual orientation jointly influence food insecurity prevalence in women aged 18-59 years (NHIS: N = 47596; NHANES: N = 5106). All analyses were stratified for Supplemental Nutrition Assistance Program (SNAP) use. Relative measures estimated weighted prevalence ratios (PR) comparing Black and White sexual minority women (SMW) to heterosexual White women. Absolute prevalence measures estimated the excess prevalence of food insecurity due to multiple marginalization. Patterns of food insecurity prevalence were similar across NHIS and NHANES, and differed only for non-SNAP users. Relative prevalence of food insecurity was greater in Black SMW than heterosexual White women in NHIS (PR: 2.16; 95% confidence interval [CI], 1.41-3.30) and NHANES (PR: 2.79; 95% CI, 1.73-4.51). The strength of the association between multiple marginalization and food insecurity was stronger for Black SMW than White SMW. Absolute measures were significant only for NHIS and did not support our a priori hypothesis: For non-SNAP users, being Black and sexual minority reduced the joint disparity in food insecurity by approximately 50% (Synergy Index: 0.52; 95% CI, 0.11-0.93). Overall, our study illuminated population-level differences in food insecurity among women of diverse minority races and sexual orientations. Black SMW experienced high rates of food insecurity, which may contribute to chronic disease disparities. Yet, intersecting minority social positions (race and sexual orientation) reduced food insecurity; these findings are unexpected and must be further investigated. Increasing SNAP use among multiply marginalized women may attenuate food insecurity disparities.