Trajectories of racial and gender health disparities during later midlife: Connections to personality

Racial/ethnic/gender-Based Differences in Health Trajectories Among American Older Adults: 10-Year Longitudinal Evidence from the Health and Retirement Study

Health disparity by race/ethnicity or gender has been well-documented. However, few researchers have examined health outcomes based on the intersection of individuals' race, ethnicity, and gender or investigated various health dimensions. Guided by an intersectionality framework, this study explores racial/ethnic/gender-based differences in trajectories of multiple health outcomes over a ten-year period among American older adults. Longitudinal data from the Health and Retirement Study (2004-2014) were used (N = 16,654). Older adults (65+) were stratified into six mutually-exclusive groups based on their race, ethnicity, and gender: Non-Hispanic (NH) White Men, NH White Women, NH Black Men, NH Black Women, Hispanic Men, and Hispanic Women. Growth curve models examined the trajectories of three health measures, including cognitive function, physical function limitations (i.e. activities of daily living and instrumental activities of daily living), and depressive symptoms. NH White men and women reported significantly better outcomes in cognition and physical function trajectories than racial/ethnic minority groups. Women in all racial/ethnic groups had more depressive symptoms but better cognition than men. Hispanic women reported the most depressive symptoms. Hispanic women and NH Black women had the worst physical function limitations. NH Black men/women were the most disadvantaged in cognition. Racial/ethnic/gender-based differences were stable over time in all health trajectories. Study findings highlight the utility of an intersectional framework in understanding how multiple social identities intersect to generate protective and/or risk effects on cognitive, mental, and physical health. Multilevel intervention strategies are warranted to reduce the persistent health inequity gap.

Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic

Anxiety disorders are highly prevalent, and rates increased during the COVID-19 pandemic. However, most individuals with elevated anxiety do not access treatment due to barriers such as stigma, cost, and availability. Digital mental health programs, such as cognitive bias modification for interpretation (CBM-I), hold promise in increasing access to care. Before widely disseminating CBM-I, we must rigorously test its effectiveness and determine whom it is best positioned to benefit. The present study (which is a substudy of a parent trial) compared CBM-I against psychoeducation offered through the public website MindTrails, and also tested whether baseline anxiety tied to COVID-19 influenced the rate of change in anxiety and interpretation bias during and after each intervention. Adults with moderate-to-severe anxiety symptoms were randomly assigned to complete five sessions of either CBM-I or psychoeducation as part of a larger trial, and 608 enrolled in this substudy after Session 1. As predicted (https://osf.io/2dyzr), CBM-I was superior to psychoeducation at reducing anxiety symptoms (on the OASIS but not the DASS-21-AS: d = -0.31), reducing negative interpretation bias (d range = -0.34 to -0.43), and increasing positive interpretation bias (d = 0.79) by the end of treatment. Results also indicated that individuals higher (vs. lower) in baseline COVID-19 anxiety had stronger decreases in anxiety symptoms while receiving CBM-I but weaker decreases in anxiety symptoms (on the DASS-21-AS) while receiving psychoeducation. These findings suggest that CBM-I may be a useful anxiety-reduction tool for individuals experiencing higher anxiety tied to uncertain events such as the COVID-19 pandemic.

Examining Racial Disparities in Historical Change of Mental and Physical Health Across Midlife and Old Age in the United States

OBJECTIVES

To examine whether racial disparities are narrowing or widening with historical time among U.S. middle-aged and older adults, and test the extent to which educational attainment moderates racial disparities over historical time.

METHODS

Multilevel models were applied to longitudinal data on middle-aged (ages 40-65) and older adults (ages 66 and older) from the Health and Retirement Study. Historical change was indexed as cohort or birth year. The outcomes of focus were depressive symptoms, episodic memory, health conditions, functional limitations, and self-rated health.

RESULTS

Results revealed a differential pattern of racial disparities in historical change between midlife and old age. Across midlife and old age, on average, Blacks and Hispanics reported poorer levels of mental and physical health, compared with Whites. In midlife, racial disparities narrowed with historical time; later-born cohorts of Hispanics but not Whites reported fewer depressive symptoms than their earlier-born peers. Likewise, historical improvements in health were stronger among Hispanics and Blacks than Whites. Conversely, in old age, later-born cohorts across race consistently showed historical improvements in each of the outcomes examined. Regarding educational attainment, we observed little consistent evidence that health-promoting effects of educational attainment differ across race and cohort. Examining questions about heterogeneity, results revealed that in midlife and old age there was greater heterogeneity between race across each of the outcomes.

DISCUSSION

Our discussion elaborates on reasons behind the documented racial differences in historical changes among U.S. middle-aged and older adults, and how the protective role of education is changing over time.

Intersectionality in quantitative health disparities research: A systematic review of challenges and limitations in empirical studies

RATIONALE

Quantitative health disparities research has increasingly employed intersectionality as a theoretical tool to investigate how social characteristics intersect to generate health inequality. Yet, intersectionality was not designed to quantify, predict, or identify health disparities, and, as a result, multiple criticisms against its misapplication in health disparities research have been made. As such, there is an emerging need to evaluate the growing body of quantitative research that aims to investigate health disparities through an intersectional lens.

METHODS

We conducted a systematic review from earliest records to January 2020 to (i) describe the scope of limitations when applying intersectionality to quantitative health disparities research, and (ii) identify recommendations to improve the future integration of intersectionality with this scholarship. We identified relevant publications with electronic searches in PubMed and CA Web of Science. Studies eligible for inclusion were English-language publications that used quantitative methodologies to investigate health disparities among adults in the U.S. while explicitly claiming to adopt an intersectional perspective. Out of 1279 articles reviewed, 65 were eligible for inclusion.

RESULTS

Our review found that, while the value of intersectionality to the study of health disparities is evident, the existing research struggles with meeting intersectionality's fundamental assumptions. In particular, four limitations were found to be widespread: narrowing the measurements of intersectionality, intersectional groups, and health outcomes; placing primacy on the study of certain intersectional groups to the neglect of others; overlooking underlying explanatory mechanisms that contribute to the health disparities experienced by intersectional groups; and, lacking in the use of life-course perspectives to show how health disparities vary across different life stages.

CONCLUSION

If the goal of health equality is to be achieved among diverse intersectional groups, future research must be assisted by the collection and examination of data that overcomes these limitations.

Systematic review of methods used to study the intersecting impact of sex and social locations on health outcomes

PURPOSE

Independent health impacts of sex or social circumstances are well-studied, particularly among older adults. Less theorized or examined is how combinations or intersections of these underpin differential health effects. Nevertheless, and often without naming it as such, an intersectional framework aligns with studies of social determinants of health, life-course epidemiology and eco-epidemiology. In this systematic review we examined and aimed to identify research methods used to operationalize, whether intentionally or inadvertently, interconnected effects of sex and social locations on health outcomes for 45+ year olds.

METHODS

Using broad search terms, numerous databases, and following Prisma guidelines, 732 of 9214 papers initially identified, met inclusion criteria for full review.

RESULTS

Of the 501 papers included after full review, methods used in considering intersections of sex and social circumstances/location(s) included regression (112 of 365 papers), growth curves (7 of 22), multilevel (15 of 25), decomposition (6 of 9), mediation (10 of 17), structural equation modelling (23 of 25), and other (2 of 3). Most (n = 157) approximated intersectional analyses by including interaction terms or sex-stratifying results.

DISCUSSION

Few authors used the inherent strength of some study methods to examine intersecting traits. As even fewer began with an intersectionality framework their subsequent failure to deliver cannot be faulted, despite many studies including data and methodologies that would support intersectional analyses. There appeared to be a gap, not in analytic potential but rather in theorizing that differential distributions of social locations describe heterogeneity within the categories 'men' and 'women' that can underlie differential, gendered effects on older adults' health. While SEM, mediation and decomposition analyses emerged as particularly robust methods, the unexpected outcome was finding how few researchers consider intersectionality as a potential predictor of health.

Mechanisms of Black–White disparities in health among older adults: Examining discrimination and personality

We tested whether personality traits help explain the association between discrimination and racial health disparities in a sample of 1033 Black and White older adults. Participants completed measures of discrimination, personality, and self-reported physical and mental health. Elevated discrimination among Black participants was indirectly linked to worse physical and mental health outcomes through elevated neuroticism and lower agreeableness, controlling income, education, and gender. The specific facets of depression, impulsiveness, and trust were the most robust intervening personality factors. Interventions that target cognitive, emotional, and behavioral sequelae of discrimination may lessen its impact on health disparities.