The Future of Social Determinants of Health: Looking Upstream to Structural Drivers

Intersection of social determinants of health with ventricular assist device therapy: An integrative review

BACKGROUND

Social determinants of health (SDOH) may influence the clinical management of patients with heart failure. Further research is warranted on the relationship between SDOH and Ventricular Assist Device (VAD) therapy for heart failure.

OBJECTIVES

The purpose of this integrative review was to synthesize the state of knowledge on the intersection of SDOH with VAD therapy.

METHODS

Guided by Whittemore and Knafl's methodology, this literature search captured three concepts of interest including VAD therapy, SDOH, and their domains of intersection with patient selection, decision-making, treatment outcome, and resource allocation. CINAHL, Embase, PsycINFO, PubMed, and Web of Science were searched in March 2023. Articles were included if they were peer-reviewed publications in English, published between 2006 and 2023, conducted in the United States, and examined VAD therapy in the context of adult patients (age ≥ 18 years).

RESULTS

22 quantitative studies meeting the inclusion criteria informed the conceptualization of SDOH using the Healthy People 2030 framework. Four themes captured how the identified SDOH intersected with different processes relating to VAD therapy: patient decision-making, healthcare access and resource allocation, patient selection, and treatment outcomes. Most studies addressed the intersection of SDOH with healthcare access and treatment outcomes.

CONCLUSION

This review highlights substantial gaps in understanding how SDOH intersect with patient and patient selection for VAD. More research using mixed methods designs is warranted. On an institutional level, addressing bias and discrimination may have mitigated health disparities with treatment outcomes, but further research is needed for implementing system-wide change. Standardized assessment of SDOH is recommended throughout clinical practice from patient selection to outpatient VAD care.

Health consequences of structural sexism: Conceptual foundations, empirical evidence and priorities for future research

A nascent body of work has begun exploring the health consequences of structural sexism. This article provides an overview of the concept of structural sexism and an elaboration of the potential pathways connecting it to health. Next, it reviews existing measurement approaches and the current state of empirical evidence on the relationship between structural sexism and health in the United States. Finally, it highlights key priorities for future research, which include: expanding and refining measures, increasing public data availability, broadening the scope of inquiry to include a wider range of outcomes, exploring mechanisms, incorporating intersectionality, and applying a life course lens.

Searching for the social determinants of health: observations from evidence synthesis publications

BACKGROUND

The social determinants of health (SDOH) are the focus of an exponentially increasing number of publications, including evidence syntheses. However, there is not an established standard for searching for SDOH literature. This study seeks to identify published evidence syntheses pertaining to the SDOH, analyzing the search strategies used and the studies included within these reviews. The primary objectives are to compare search strategies and create a test set of SDOH publications.

METHODS

We searched PubMed, Embase, and Scopus for evidence syntheses that mentioned the SDOH in their research questions and included an SDOH search strategy. Relevant data extracted from each review included databases searched; search terms used for the SDOH; conceptual frameworks referenced; and the citations of primary studies included in the reviews, which were compiled to form a test set of cited papers. The relative recall of the respective search strategies was tested by documenting the total number of MEDLINE results each retrieved and the number of test set papers retrieved.

RESULTS

Sixty-four evidence syntheses were identified and included in the analysis, and 2750 cited papers were extracted. Findings indicate few commonalities across search strategies in search terms used, the total number of results retrieved, and the number of test set cited papers retrieved. One hundred and ninety-three unique MeSH terms and 1385 unique keywords and phrases were noted among the various search strategies. The number of total results retrieved by the SDOH search strategies ranged from 21,793 to over 16 million. The percentage of cited papers retrieved by the search strategies ranged from 2.46 to 97.9%. Less than 3% of the cited papers were indexed with the Social Determinants of Health MeSH.

CONCLUSIONS

There has been little consistency across evidence syntheses in approaches to searching for SDOH literature. Differences in these strategies could have a significant impact on what literature is retrieved, included in reviews, and, consequently, incorporated into evidence-based practice. By documenting these differences and creating a set of papers relevant to SDOH, this research provides a snapshot of the current challenges in searching for SDOH content and lays the groundwork for the creation of a standardized search approach for SDOH literature.

Structural racism in primary schools and changes in epigenetic age acceleration among Black and White youth

Structural racism generates racial inequities in U.S. primary education, including segregated schools, inequitable funding and resources, racial disparities in discipline and achievement, and hostile racial climates, which are risk factors for adverse youth health and development. Black youth are disproportionately exposed to adverse school contexts that may become biologically embedded via stress-mediated epigenetic pathways. This study examined whether childhood exposure to adverse school contexts is associated with changes in epigenetic aging during adolescent development. DNA methylation-based epigenetic clocks were calculated from saliva samples at ages 9 and 15 among Black (n = 774) and White (n = 287) youth in the Future of Families and Child Wellbeing Study (2009-2015). We performed latent class analyses to identify race-specific primary school contexts using administrative data on segregation, discipline, achievement, resources, economic disadvantage, and racial harassment. We then estimated change in epigenetic age acceleration from childhood to adolescence across school typologies using GrimAge, PhenoAge, and DunedinPACE epigenetic clocks. Three distinct school contexts were identified for Black youth: segregated and highly-disadvantaged (17.0%), segregated and moderately-disadvantaged (52.1%), and integrated and moderately-disadvantaged (30.8%). Two school contexts emerged for White youth: integrated and unequal (46.5%) and predominantly White & advantaged (53.5%). At age 15, Black youth who attended segregated and highly-disadvantaged primary schools experienced increases in their speed of epigenetic aging with GrimAge and DunedinPACE. Slowed epigenetic aging with GrimAge was observed for Black youth who attended integrated and moderately-disadvantaged schools. School contexts were not associated with changes in epigenetic age acceleration for White youth. Our findings suggest that manifestations of structural racism in primary school contexts are associated with early-life epigenetic age acceleration and may forecast future health inequities.

Structural Racism and Health Stratification: Connecting Theory to Measurement

Less than 1% of studies on racialized health inequities have empirically examined their root cause: structural racism. Moreover, there has been a disconnect between the conceptualization and measurement of structural racism. This study advances the field by (1) distilling central tenets of theories of structural racism to inform measurement approaches, (2) conceptualizing U.S. states as racializing institutional actors shaping health, (3) developing a novel latent measure of structural racism in states, (4) using multilevel models to quantify the association between structural racism and five individual-level health outcomes among respondents from the Health and Retirement Study (N = 9,020) and the Behavioral Risk Factor Surveillance System (N = 308,029), and (5) making our measure of structural racism publicly available to catalyze research. Results show that structural racism is consistently associated with worse health for Black people but not White people. We conclude by highlighting this study's contributions (theoretical, methodological, and substantive) and important avenues for future research on the topic.

COVID-19's Unequal Toll: Differences in Health-Related Quality of Life by Gendered and Racialized Groups

We examine whether the COVID-19 pandemic was associated with changes to daily activity limitations due to poor physical or mental health and whether those changes were different within and between gendered and racialized groups. We analyze 497,302 observations across the 2019 and 2020 waves of the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey. Among White men and women, the COVID-19 pandemic was associated with fewer days of health-related activity limitations and decreased frequent activity limitation (≥14 days in the past month) compared to the prepandemic period. By contrast, Latina and Black women experienced increased days of activity limitation and greater likelihood of frequent activity limitation, and these changes were significantly different than for White women. These findings are robust to the inclusion of structural inequality measures and demonstrate how systemic racism and sexism likely exacerbate a myriad of pandemic-related health problems.

Genetics in the X-Men film franchise: mutants as allegories of difference

This article analyzes the complete corpus of live-action X-Men movies for their depictions of genetics and otherness. The researchers watched and qualitatively coded all thirteen movies produced by 20th Century Fox that take place in the same shared cinematic universe, beginning with X-Men (2000) and ending with The New Mutants (2020). The X-Men movies are unusual summer blockbusters since they explore genetic topics through their central characters, mutants, who are genetically different from their non-mutant peers. Mutants in the films evoke a plurality of analogies, such as mutant-as-Black and mutant-as-queer. These intersecting metaphors build upon a core of genetic difference to create a versatile but limited picture of prejudice, solidarity, and otherness.

Multimorbidity trajectories in early adulthood and middle age: Findings from the CARDIA prospective cohort study

Background

Multimorbidity research has focused on the prevalence and consequences of multimorbidity in older populations. Less is known about the accumulation of chronic conditions earlier in the life course.

Methods

We identified patterns of longitudinal multimorbidity accumulation using 30 years of data from in-person exams, annual follow-ups, and adjudicated end-points among 4,945 participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. Chronic conditions included arthritis, asthma, atrial fibrillation, cancer, end stage renal disease, chronic obstructive pulmonary disease, coronary heart disease, diabetes, heart failure, hyperlipidemia, hypertension, and stroke. Trajectory patterns were identified using latent class growth curve models.

Results

Mean age (SD) at baseline (1985-6) was 24.9 (3.6), 55% were female, and 51% were Black. The median follow-up was 30 years (interquartile range 25-30). We identified six trajectory classes characterized by when conditions began to accumulate and the rapidity of accumulation: (1) early-fifties, slow, (2) mid-forties, fast, (3) mid-thirties, fast, (4) late-twenties, slow, (5) mid-twenties, slow, and (6) mid-twenties, fast. Compared with participants in the early-fifties, slow trajectory class, participants in mid-twenties, fast were more likely to be female, Black, and currently smoking and had a higher baseline mean waist circumference (83.6 vs. 75.6 cm) and BMI (27.0 vs. 23.4 kg/m2) and lower baseline physical activity (414.1 vs. 442.4 exercise units).

Conclusions

A life course approach that recognizes the heterogeneity in patterns of accumulation of chronic conditions from early adulthood into middle age could be helpful for identifying high risk subgroups and developing approaches to delay multimorbidity progression.

Mexican-origin parent and child reported neighborhood factors and youth substance use

Background

Structural oppression affects health behaviors through residence in suboptimal neighborhoods and exposure to community violence. Youth and parents report perceptions of neighborhood factors that can affect youth substance use behaviors. Given that Latinx youth report higher levels of perceived community violence than other racial and ethnic groups, it is imperative to examine how youth- and parent-perceived neighborhood-level factors may relate to youth substance use.

Methods

Data were collected using clinical interviews with family triads (fathers, mothers, and youth) and parent-child dyads (father or mother and youth) enrolled in the Seguimos Avanzando study of 344 Mexican-origin families in Indiana. Neighborhood measures, including perceptions of exposure to violence, neighborhood characteristics, and neighborhood collective efficacy, were included in parent and youth surveys. Self-report measures for past year alcohol and drug use were included in the youth survey only. T-tests were conducted to estimate differences in neighborhood reports among the sample triads. A series of linear regression models were used to estimate the associations between youth-, mother-, and father-reported perceptions of neighborhood factors and youth substance use.

Results

Preliminary results indicate that fathers reported higher levels of exposure to violence than mothers [t(163) = 2.33, p = 0.02] and youth [t(173) = 3.61, p < 0.001]. Youth reported lower negative neighborhood characteristics than mothers [t(329) = 6.43, p < 0.001] and fathers [t(169) = 3.73, p < 0.001]. Youth reported significantly better neighborhood collective efficacy than mothers [t(296) = 3.14, p = 0.002], but not statistically different from fathers. Results from the primary analysis showed that youth exposure to violence was positively associated with youth substance use (b = 0.24, SE = 0.06, p < 0.0001), but the youth's neighborhood characteristics and collective efficacy were not significantly associated with youth substance use. None of the parent-reported neighborhood variables were associated with youth substance use.

Conclusion

The discrepant findings between parent and youth reports of perceived neighborhood characteristics and substance use have important implications for researchers and community stakeholders, and for developing targeted interventions and prevention strategies. Our study highlights the need to address youth experience of community violence and to prioritize creating safe and inclusive neighborhood environments. Potential strategies include improving community resources, strengthening social support networks, promoting open communication about neighborhood risks, and fostering collaborative efforts to address substance use behaviors.

Quantifying Associations Between Child Health and Neighborhood Social Vulnerability: Does the Choice of Index Matter?

Importance

Policymakers have increasingly utilized place-based social disadvantage indices to quantify the impacts of place on health and inform equitable resource allocation. Indices vary in design, content, and purpose but are often used interchangeably, potentially resulting in differential assignments of relative disadvantage depending on index choice.

Objective

To compare associations between three commonly used disadvantage indices (Social Vulnerability Index (SVI), Area Deprivation Index (ADI), and Child Opportunity Index (COI)) and two epidemiologically distinct child health outcomes-infant well-child check (WCC) attendance and adolescent obesity.

Design

Cross-sectional analysis of Duke University Health System electronic health record (EHR) data from January 2014 to December 2019.

Participants

Children ≤18 years of age with outpatient encounters between January 2014 and December 2019, and who were Durham County residents were eligible. WCC attendance was assessed for infants ages 0-15 months; obesity was assessed for children ages 11-17 years.

Exposures

2014 Social Vulnerability Index (SVI), 2015 Area Deprivation Index (ADI), and 2015 Child Opportunity Index (COI) 2.0.

Main Outcomes

1) Infant WCC attendance: attending less than the minimum recommended six WCCs in the first 15 months of life, and 2) Adolescent obesity: BMI ≥ the 95th percentile at both the most recent encounter and an encounter within the prior 9-36 months.

Results

Of 10175 patients in the WCC cohort, 20% (n = 2073) had less than six WCCs. Of 14961 patients in the obesity cohort, 20% (n = 2933) had obesity. All three indices were associated with both WCCs (OR for SVI 1.10, 95% CI 1.08-1.12; OR for ADI 1.10, 95% CI 1.08-1.12; OR for COI 1.12, 95% CI 1.10-1.14) and obesity (OR for SVI 1.05, 95% CI 1.04-1.08; OR for ADI 1.08, 95% CI 1.06-1.10; OR for COI 1.07, 95% CI 1.05-1.08).

Conclusions and relevance

Higher social disadvantage as defined by all three indices was similarly associated with both adolescent obesity and decreased infant WCC attendance. While the COI incorporates a broader set of child-specific variables, the SVI and ADI may often be just as suitable for pediatric research. Users should consider population and outcome characteristics when selecting an index.

Racialized Health Inequities: Quantifying Socioeconomic and Stress Pathways Using Moderated Mediation

Racism drives population health inequities by shaping the unequal distribution of key social determinants of health, such as socioeconomic resources and exposure to stressors. Research on interrelationships among race, socioeconomic resources, stressors, and health has proceeded along two lines that have largely remained separate: one examining differential effects of socioeconomic resources and stressors on health across racialized groups (moderation processes), and the other examining the role of socioeconomic resources and stressors in contributing to racial inequities in health (mediation processes). We conceptually and analytically integrate these areas using race theory and a novel moderated mediation approach to path analysis to formally quantify the extent to which an array of socioeconomic resources and stressors-collectively and individually-mediate racialized health inequities among a sample of older adults from the Health and Retirement Study. Our results yield theoretical contributions by showing how the socioeconomic status-health gradient and stress processes are racialized (24% of associations examined varied by race), substantive contributions by quantifying the extent of moderated mediation of racial inequities (approximately 70%) and the relative importance of various social factors, and methodological contributions by showing how commonly used simple mediation approaches that ignore racialized moderation processes overestimate-by between 5% and 30%-the collective roles of socioeconomic status and stressors in accounting for racial inequities in health.

The Perils of Medicalization for Population Health and Health Equity

Policy Points Medicalization is a historical process by which personal, behavioral, and social issues are increasingly viewed through a biomedical lens and "diagnosed and treated" as individual pathologies and problems by medical authorities. Medicalization in the United States has led to a conflation of "health" and "health care" and a confusion between individual social needs versus the social, political, and economic determinants of health. The essential and important work of population health science, public health practice, and health policy writ large is being thwarted by a medicalized view of health and an overemphasis on personal health services and the health care delivery system as the major focal point for addressing societal health issues and health inequality. Increased recognition of the negative consequences of a medicalized view of health is essential, with a focus on education and training of clinicians and health care managers, journalists, and policymakers.