Social Determinants Of Health Research Articles

Algorithm-defined memory impairment in older American Indians: The Strong Heart Study.

Assessment of cognition in American Indians poses challenges, including barriers to healthcare, unvalidated clinical standards, and confounding social determinants of health. Alternative strategies for case identification include algorithmic methods, which can outperform clinical judgment in some circumstances. Algorithmic methods can be maximized using single-domain tests with multiple-serial trial tasks, such as the California Verbal Learning Test II-Short Form (CVLT-SF). We collected CVLT-SF and detailed clinical data, including dementia gold standard by consensus adjudication, in 818 American Indians aged 65-95 in 2010-2013 and repeated in 403 returning participants in 2017-2019 (mean follow-up 6.7 years, range: 4-9). Our algorithm categorized CVLT-SF scores into four memory deficit categories: none, encoding, storage, and retrieval. At Visit 1, 75.4% had no memory deficit, 15.6% encoding deficit, 3.5% storage deficit, and 5.5% retrieval deficit. At Visit 2, comparable percentages were 68.7%, 10.6%, 6.5%, and 14.2% (respectively). The majority with any deficit at Visit 1-especially encoding-were lost to follow-up by Visit 2. Most with deficits at Visit 2 were newly categorized from those previously intact. The performance of our memory algorithm, compared with adjudication for dementia, was moderately good: correct classification 69%, sensitivity 51%, and specificity 91%. These descriptive findings encompass a novel contribution in defining memory impairment among American Indians from a single cognitive test. However, more work is needed to improve the sensitivity of this algorithm and maximize its utility for case identification over conventional methods. Altogether, these data provide an important step toward better cognitive characterization and dementia care for an understudied, underserved population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Algorithm-defined memory impairment in older American Indians: The Strong Heart Study.

Assessment of cognition in American Indians poses challenges, including barriers to healthcare, unvalidated clinical standards, and confounding social determinants of health. Alternative strategies for case identification include algorithmic methods, which can outperform clinical judgment in some circumstances. Algorithmic methods can be maximized using single-domain tests with multiple-serial trial tasks, such as the California Verbal Learning Test II-Short Form (CVLT-SF). We collected CVLT-SF and detailed clinical data, including dementia gold standard by consensus adjudication, in 818 American Indians aged 65-95 in 2010-2013 and repeated in 403 returning participants in 2017-2019 (mean follow-up 6.7 years, range: 4-9). Our algorithm categorized CVLT-SF scores into four memory deficit categories: none, encoding, storage, and retrieval. At Visit 1, 75.4% had no memory deficit, 15.6% encoding deficit, 3.5% storage deficit, and 5.5% retrieval deficit. At Visit 2, comparable percentages were 68.7%, 10.6%, 6.5%, and 14.2% (respectively). The majority with any deficit at Visit 1-especially encoding-were lost to follow-up by Visit 2. Most with deficits at Visit 2 were newly categorized from those previously intact. The performance of our memory algorithm, compared with adjudication for dementia, was moderately good: correct classification 69%, sensitivity 51%, and specificity 91%. These descriptive findings encompass a novel contribution in defining memory impairment among American Indians from a single cognitive test. However, more work is needed to improve the sensitivity of this algorithm and maximize its utility for case identification over conventional methods. Altogether, these data provide an important step toward better cognitive characterization and dementia care for an understudied, underserved population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Narrative review and call to action on reporting and representation in orthobiologics research for knee osteoarthritis.

Osteoarthritis affects a significant portion of U.S. adults, and knee osteoarthritis contributes to 80% of disease burden. Previous data have shown that non-White patient populations often report worse symptoms and less favorable outcomes following arthroplasty, a definitive treatment for knee osteoarthritis. There is a lack of demographics data on race/ethnicity, as well as socioeconomic status (SES) and social determinants of health (SDOH), in knee osteoarthritis treatment guidelines and knee arthroplasty research. In addition, there is underrepresentation of non-White patient populations in the existing treatment guidelines for knee osteoarthritis. Over the past decade, orthobiologics have emerged as an alternative to surgical intervention. Our hypothesis is that there would be a similar lack of reporting of demographics data and underrepresentation of non-White populations in studies pertaining to orthobiologics, including evaluating differences in outcomes. This study reviewed U.S.-based research in orthobiologics as a treatment option for knee osteoarthritis. We identified a lack of demographics reporting in terms of race/ethnicity, and none of the studies reported SES or SDOH. Non-White populations were underrepresented; White patients contributed to 80% or more of all study populations that reported race/ethnicity. None studied the correlation between symptoms and outcome measures, and the race/ethnicity, SES, and SDOH of the patients. Based on a review of existing literature, we strongly advocate for ongoing research encompassing patients of all races/ethnicities, SES, and SDOH, and an exploration into potential variations in symptoms and outcomes among distinct population subgroups. Furthermore, SES barriers may influence health care delivery on orthobiologics for disadvantaged populations.

Understanding Racial Disparities in Dementia Prevalence Among Veterans.

Black and Hispanic older adults have greater incidence of Alzheimer's disease and related dementias relative to White adults, but factors underlying these disparities are not well understood, limiting the ability to address them. To determine the impact of demographics, cardiovascular disease (CVD) and risk factors, social determinants of health (SDOH), and neuropsychiatric risk factors on racial/ethnic disparities in dementia risk among Veterans. We examined a random sample of 1,579,919 older Veterans (age ≥55) without dementia who received care from the VHA from October 1, 1999 to September 30, 2021. All variables were extracted from national VHA data. We used Cox proportional hazard regression models to examine change in variance in risk of dementia across racial/ethnic groups. During follow up (mean 11.1 years), 13% of Veterans developed dementia. Relative to White Veterans, the adjusted hazard ratios (AHRs) for developing dementia in sex-adjusted models with age as timescale were 1.65 (95% CI, 1.63-1.67) for Black Veterans and 1.50 (95% CI, 1.44-1.56) for Hispanic Veterans. In the model examining CVD and risk factors, AHRs were 1.53 (95% CI, 1.50-1.55) for Black Veterans and 1.38 (95% CI, 1.33-1.44) for Hispanic Veterans. In the model examining SDOH, AHRs were 1.46 (95% CI, 1.43-1.49) for Black Veterans and 1.34 (95% CI, 1.29-1.40) for Hispanic Veterans. SDOH and CVD and risk factors accounted for the greatest amount of variance in racial/ethnic disparities in dementia risk. Cardiovascular disease and SDOH are strong possible targets for interventions designed to reduce these disparities.

A - 13 Social Determinants of Health and Health Equity in Return to Learn Following Sport-Related Concussion

A - 13 Social Determinants of Health and Health Equity in Return to Learn Following Sport-Related Concussion

Health Outcomes around Pregnancy and Exposure to HIV/Antiretrovirals (HOPE) study protocol: a prospective observational cohort study of reproductive-aged women living with HIV

IntroductionOver 265 000 women are living with HIV in the USA, but limited research has investigated the physical, mental and behavioural health outcomes among women living with HIV of reproductive...

Health Outcomes around Pregnancy and Exposure to HIV/Antiretrovirals (HOPE) study protocol: a prospective observational cohort study of reproductive-aged women living with HIV

IntroductionOver 265 000 women are living with HIV in the USA, but limited research has investigated the physical, mental and behavioural health outcomes among women living with HIV of reproductive...

Individual- and community-level social determinants of health are associated with cognition in older adults with focal epilepsy

ObjectiveEpilepsy is associated with significant health disparities, including access to specialized care and adverse outcomes that have been associated with several social determinants of health (SDOH). We sought to examine the relationship between individual- and community-level SDOH and cognitive outcomes in older adults with epilepsy. Materials and methodsWe collected clinical, SDOH, and neuropsychological data in 57 older adults with epilepsy. Individual-level SDOH included patient factors (quality of education, income, insurance, marital status) and early-life environmental factors (parental education and occupation, childhood employment). Neighborhood deprivation was measured with the Area Deprivation Index (ADI). Stepwise regressions were conducted to examine the independent contribution of individual-level SDOH to cognitive performance, and Spearman rho correlations were conducted to examine the relationship between ADI and cognitive performance. The SDOH profiles of patients who met the criteria for cognitive impairment were examined. ResultsAfter controlling for clinical variables, patient factors (public health insurance, poorer quality of education) and early-life environmental factors (lower mother’s education, lower father’s and mother’s occupational complexity, history of childhood employment) were significant predictors of lower performance on measures of global cognition, verbal learning and memory, processing speed, and executive function. Higher ADI values (greater disadvantage) were associated with lower scores on global cognitive measures, verbal learning and memory, and executive function. Patients who met criteria for cognitive impairment had, on average, a greater number of adverse SDOH, including lower household incomes and father’s education, and higher ADI values compared to those who were cognitively intact. ConclusionWe provide new evidence of the role of individual- and community-level SDOH on cognitive outcomes in older adults with epilepsy. This emerging literature highlights the need to examine SDOH beyond epilepsy-related clinical factors. These data could inform the development of interventions focused on increasing access to epilepsy care, education, and resources and promoting brain and cognitive health within the most at-risk communities.

Social prescribing for and beyond health: hyper-solutionism in health policy

ABSTRACT Social prescribing is a primary care approach that enables healthcare professionals to refer patients to social activities and services. While social prescribing has gained currency across the Global North, there has been little critical engagement with this health policy from a social science perspective. In this article, drawing on the case of Austria as an example, I present the results of a discourse analysis on social prescribing and show how in related policy documents social prescribing is constructed as a solution for multiple problems: Social prescribing is presented as a solution for addressing the social determinants of health and as a fix for the overburdening of the healthcare system. At the same time, through supposedly fostering social inclusion and cohesion, social prescribing is also portrayed as ‘improving’ society more generally. I argue that the depiction of social prescribing as – what I call – a hyper-solution is connected to the pervasive logic of austerity and resource efficiency in the governance of health and healthcare, as social prescribing redefines and expands the notion of what constitutes a healthcare resource, who is responsible for health but also the domain that healthcare is responsible for.

A biobehavioral observational study to understand the multilevel determinants of cardiovascular health in Black women: the BLOOM Study protocol

BackgroundThe racial/ethnic and gender disparities in cardiovascular disease (CVD) morbidity and mortality in the United States are evident. Across nearly every metric, non-Hispanic Black women have poorer overall cardiovascular health. Emerging evidence shows a disproportionately high burden of increased CVD risk factors in Black women of childbearing age, which has a far-reaching impact on both maternal and child outcomes, resulting in premature onset of CVD and further widens the racial disparities in CVD. There is growing recognition that the fundamental driver of persistent racial/ethnic disparities in CVD, as well as disparities in behavioral risk factors such as physical activity and sleep, is structural racism. Further, the lived personal experience of racial discrimination not only has a negative impact on health behaviors, but also links to various physiological pathways to CVD risks, such as internalized stress resulting in a pro-inflammatory state. Limited research, however, has examined the interaction between daily experience and health behaviors, which are influenced by upstream social determinants of health, and the downstream effect on biological/physiological indicators of cardiovascular health in non-pregnant Black women of childbearing age.Methods/DesignThe BLOOM Study is an observational study that combines real-time ambulatory assessments over a 10-day monitoring period with in-depth cross-sectional lab-based physiological and biological assessments. We will use a wrist-worn actigraphy device to capture 24-h movement behaviors and electronic ecological momentary assessment to capture perceived discrimination, microaggression, and stress. Blood pressure will be captured continuously through a wristband. Saliva samples will be self-collected to assess cortisol level as a biomarker of psychological stress. Lab assessments include a fasting venous blood sample, and assessment of various indices of peripheral and cerebral vascular function/health. Participants’ address or primary residence will be used to obtain neighborhood-level built environmental and social environmental characteristics. We plan to enroll 80 healthy Black women who are between 18 and 49 years old for this study.DiscussionResults from this study will inform the development of multilevel (i.e., individual, interpersonal, and social-environmental levels) lifestyle interventions tailored to Black women based on their lived experiences with the goal of reducing CVD risk.ClinicalTrials.gov IdentifierNCT06150989.

Combating COVID-19 health disparities in Black, Indigenous, and People of Colour Communities-A call for critical systems thinking.

The Black, Indigenous, and People of Colour populations in the United States are disproportionately affected by the emerging health threat SARS-CoV-2, which causes COVID-19. This paper aims to demonstrate the usefulness of critical systems thinking by using scenario planning based on epidemiological data and tying epidemiology with soft systems methodology to investigate COVID-19 disparities among disproportionately affected Black, Indigenous, and People of Colour populations. Using a review of the COVID-19 literature and publicly available US COVID-19 data, critical systems thinking is applied in a scenario planning example and a call to link soft systems methodology with epidemiology. According to the four plausible Endgame scenarios, levels of community transmission as well as the current state transmission are based on the driving forces of the scenarios. In addition, soft systems methodology explores the effect on stakeholders and strengthens the picture of disease burden beyond sole reliance on traditional data sources. This analysis underscores employing critical systems thinking to critically assess diverse methods appropriate for the ongoing complexity of global crises. It is argued that critically engaged subjectivity should be given space alongside data-dependent objectivity. COVID-19 disparities are reliant on the social determinants of health's effects as driving forces on disease transmission in Black, Indigenous, and People of Colour populations. It is moreover argued that critical systems thinking is demonstrated by linking epidemiological evidence with scenario planning and soft systems methodology. This in turn supports a critical systems thinking approach to uncover the state of health disparities among minoritized communities under COVID-19.

Household Toilet and Sanitation Insecurity is Associated With Urinary Symptoms, Psychosocial Burden, and Compensatory Bladder Behaviors

ObjectivesTo investigate whether being “at-risk” for toilet and sanitation insecurity in the United States is associated with urinary symptoms, voiding behaviors, and psychosocial burden. Based on census data, nearly 2 million people in the United States do not have access to adequate plumbing. More may have inconsistent access related to cost, inadequate facilities for the number of people in a home, or declining regional infrastructure. The effects of inadequate access in the United States are poorly characterized. MethodsThis is a secondary analysis of a community-based sample of adults electronically recruited to complete questionnaires on clinical and sociodemographic information, living situations, home toilets and plumbing, urinary symptoms, compensatory bladder behaviors, and psychosocial burden. Multivariable logistic regression was used to assess for associations between being at-risk for toilet and sanitation insecurity and urinary and psychosocial symptoms. Linear regression was used to assess for association with adopting compensatory bladder behaviors. ResultsThis sample included 4,218 participants, of whom 17% were identified as being at-risk for toilet and sanitation insecurity. Being at-risk for toilet and sanitation insecurity was associated with worse overall urinary symptoms and greater bother from these symptoms, in addition to worse self-assessed mental and physical health, anxiety, stress, depression, and fewer social supports. Finally, those at-risk for toilet and sanitation insecurity were more likely to adopt burdensome and unhealthy compensatory bladder behaviors. ConclusionsAs with other social determinants of health, toilet and sanitation insecurity may be an under-appreciated contributor to urinary symptoms, unhealthy toileting behaviors, and psychosocial distress.

Steatotic liver disease and HIV: an agenda for 2030.

People living with HIV are particularly susceptible to developing metabolic disorders, including metabolic dysfunction-associated steatotic liver disease and other forms of SLD. However, people living with HIV have been historically excluded from clinical trials and large cohort studies of SLD. Therefore, our understanding of the risk factors and natural history of SLD in this population is poor. Moreover, relevant knowledge gaps on the epidemiology and barriers for adequate health care, such as stigma, hamper adequate responses to the ongoing HIV and SLD syndemic. This Viewpoint provides a comprehensive perspective on how to tackle SLD in people living with HIV by examining the role of social determinants of health in the development of liver disease and metabolic syndrome comorbidities among this population, emphasising the importance of prioritising SLD management, summarising the most urgent needs in the field, and offering recommendations for advancing research to fill key data gaps and protect liver health of people living with HIV.

Prenatal Social Determinants of Health: Narrative review of maternal environments and neonatal brain development.

The Social Determinants of Health, a set of social factors including socioeconomic status, community context, and neighborhood safety among others, are well-known predictors of mental and physical health across the lifespan. Recent research has begun to establish the importance of these social factors at the earliest points of brain development, including during the prenatal period. Prenatal socioeconomic status, perceived stress, and neighborhood safety have all been reported to impact neonatal brain structure and function, with exploratory work suggesting subsequent effects on infant and child behavior. Secondary effects of the Social Determinants of Health, such as maternal sleep and psychopathology during pregnancy, have also been established as important predictors of infant brain development. This research not only establishes prenatal Social Determinants of Health as important predictors of future outcomes but may be effectively applied even before birth. Future research replicating and extending the effects in this nascent literature has great potential to produce more specific and mechanistic understanding of the social factors that shape early neurobehavioral development. IMPACT: This review synthesizes the research to date examining the effects of the Social Determinants of Health during the prenatal period and neonatal brain outcomes. Structural, functional, and diffusion-based imaging methodologies are included along with the limited literature assessing subsequent infant behavior. The degree to which results converge between studies is discussed, in combination with the methodological and sampling considerations that may contribute to divergence in study results. Several future directions are identified, including new theoretical approaches to assessing the impact of the Social Determinants of Health during the perinatal period.

Association Between Social Determinants of Health and Cancer Treatment Delay in an Urban Population.

Delays in oncologic time to treatment initiation (TTI) independently and adversely affect disease-specific mortality. Social Determinants of Health (SDoH) are increasingly recognized as significant contributors to patients' disease management and health outcomes. Our academic center has validated a 10-item SDoH screener, and we elucidated which specific needs may be predictive of delayed TTI. This is a retrospective cohort study at an urban academic center of patients with a SDoH screening and diagnosis of breast, colorectal, endocrine/neuroendocrine, GI, genitourinary, gynecologic, head and neck, hematologic, hepatobiliary, lung, or pancreatic cancer from 2018 to 2022. Variables of interest included household income, tumor stage, and emergency department (ED) or inpatient admission 30 days before diagnosis. Factors associated with delayed TTI ≥45 days were assessed using multivariable logistic regression. Among 2,328 patients (mean [standard deviation] age, 64.0 (12.8) years; 66.6% female), having >1 unmet social need was associated with delayed TTI (odds ratio [OR], 1.68; 95% CI, 1.54 to 1.82). The disparities most associated with delay were legal help, transportation, housing stability, and needing to provide care for others. Those with ED (OR, 0.49; 95% CI, 0.44 to 0.54) or inpatient (OR, 0.54; 95% CI, 0.50 to 0.58) admission 30 days before diagnosis were less likely to experience delay. Delays in oncologic TTI ≥45 days are independently associated with unmet social needs. ED or inpatient admissions before diagnosis increase care coordination, leading to improved TTI. Although limitations included the retrospective nature of the study and self-reporting bias, these findings more precisely identify targets for intervention that may more effectively decrease delay. Patients with SDoH barriers are at higher risk of treatment delay and could especially benefit from legal, transportation, caregiver, and housing assistance.

Exploring the Nexus of Democracy and Mental Health: a Study of Urban People in Solapur City

Purpose: The present study aimed at understanding the intersections of democracy and mental health of people with reference to urban people of Solapur city. Theoretical Framework: The theoretical framework integrates insights from political understanding and social determinants of mental health to explore the nexus among democracy and mental health in Solapur city’s citizens. Study assess how individual perceptions and perspectives of democracy, including political efficacy and trust in social institutions, intersect with social factors such as access to resources, political power, to influence mental health outcomes. Research Method: The study has incorporated mixed method approach. The sample consisted of 231 adults (117 male and 114 female), in the age range of 18 to 65 years. The participants were administered the Democracy indicators developed by National Democratic Institute, Iraq (2007) after voluntary oral consent. Findings: The result of percentages shows that less than two-fourth of respondents opened that they have more democratic state, more than two-fifth said they have less democratic state, less than one-tenth of them opined that they have least and most democratic state respectively. It has found that the opinions are not associated with their age, gender, and earnings. However, the study tried to explore intersections of democracy and mental health of people in the context of eleven subscales of democracy index. Research Practical and Social Implications: The article intends to raise the debates and deliberations around democracy and mental health. They article pave the way for future in depth study on understanding the democracy and mental health with a larger sample size and in transnational study areas. Originality/value: Mixed research on mental health and democracy is need of the time and it’s become crucial to study democracy and mental health in different nations democratic nations.

Social media discourse on ageism, sexism, and racism: Analysis of 150 million tweets over 15 years.

Ageism is a major but oft-overlooked social determinant of health. In fact, it is widely accepted among scholars that ageism is one of the least acknowledged forms of inequality, although few empirical attempts have been made to substantiate this claim. This is the first study that quantifies the amount of discourse dedicated to ageism, sexism, and racism on Twitter. Specifically, we rely on the usage of hashtags as a proxy for the frequency of discussions surrounding each form of inequality over a 15-year period from 2007 to 2022. We also identify key events that triggered spikes in Twitter activity for each form of inequality. Hashtags related to racism and sexism were extracted from past scholarship. We also employed a snowball sampling method whereby we queried the hashtags using Twitter's search function to identify other hashtags. As limited research has been conducted on ageism-related hashtags, we queried hashtags utilized by advocacy groups and adopted a snowball sampling method to compile other relevant hashtags. Tweets collected (N = 154,353,047) spanned 15 years, from August 23, 2007 to December 31, 2022. From 2007 to 2022, racism-related hashtags were used the most, followed by sexism-related hashtags and ageism-related hashtags. Racism-related hashtags (N = 99,250,348) were mentioned about 60 times more than ageism-related hashtags (N = 1,648,926). Sexism-related hashtags (N = 38,933,113) were mentioned 24 times more than ageism-related hashtags. The increasing linear trend of tweets associated with ageism (p < 0.001), sexism (p < 0.05), and racism (p < 0.05) reached significance. Incidents of racism and sexism often generated widespread public outrage. Conversely, instances of ageism rarely caused spikes in social media activity. Rather, these spikes were mainly observed during events such as the release of a report on ageism, a conference related to aging, or observances such as International Day of Older Persons. There is a need to hasten moves to raise awareness of ageism. To ensure that discussions on ageism are not confined to academic and policy circles, advocacy campaigns could be held to educate the public on the issue and its negative concomitants.

Social determinants of health and sepsis: a case-control study.

We aimed to identify whether social determinants of health (SDoH) are associated with the development of sepsis and assess the differences between individuals living within systematically disadvantaged neighbourhoods compared with those living outside these neighbourhoods. We conducted a single-centre case-control study including 300 randomly selected adult patients (100 patients with sepsis and 200 patients without sepsis) admitted to the emergency department of a large academic tertiary care hospital in Hamilton, ON, Canada. We collected data on demographics and a limited set ofSDoH variables, including neighbourhood household income, smoking history, social support, and history of alcohol disorder. We analyzed study data using multivariate logistic regression models. The study included 100 patients with sepsis with a median [interquartile range (IQR)] age of 75 [58-84] yr and 200 patients without sepsis with a median [IQR] age of 72 [60-83] yr. Factors significantly associated with sepsis included arrival by ambulance, absence of a family physician, higher Hamilton Early Warning Score, and a recorded history of dyslipidemia. Important SDoH variables, such asindividual or household income and race, were not available in the medical chart. In patients with SDoH available in their medical records, no SDoH was significantly associated with sepsis. Nevertheless, compared with their proportion of the Hamilton population, the rate of sepsis cases and sepsis deaths was approximately two times higher among patients living in systematically disadvantaged neighbourhoods. This study revealed the lack of available SDoH data in electronic health records. Despite no association between the SDoH variables available and sepsis, we found a higher rate of sepsis cases and sepsis deaths among individuals living in systematically disadvantaged neighbourhoods. Including SDoH in electronic health records is crucial to study their effect on the risk of sepsis and to provide equitable care.

Social Determinants of Health Education Within Family Medicine Clerkships: A CERA Study.

Social determinants of health (SDoH) education has gained popularity in undergraduate medical education; however, emphasis varies, and the curricula or assessment methods are not uniform. This study sought to examine the current SDoH teaching and assessment methods within family medicine clerkships and to identify characteristics associated with SDoH curriculum with multicomponent (two or more) teaching strategies and higher Kirkpatrick levels of assessment (Level 3-behavior change and Level 4-results). An online survey was conducted through the 2023 Council of Academic Family Medicine Educational Research Alliance (CERA) Clerkship Directors Survey. The survey response rate was 56.8% (96/169). The degree of SDoH emphasis in the medical school was positively associated with the number of teaching strategies (r=0.48; P&lt;.001). We found a trend toward degree of SDoH emphasis being associated with higher Kirkpatrick levels of assessment (H[3]=7.83; P=.05). Having an SDoH faculty champion was associated with more teaching strategies (F[1,77]=8.73; P=.004), more types of assessments (F[1,78]=5.88; P=.018), and higher Kirkpatrick levels of assessment (H[1]=4.46; P=.035). Underrepresented in medicine clerkship director identity was not associated with the number of teaching strategies or higher Kirkpatrick levels of assessment. Greater degrees of SDoH emphasis and having a faculty champion were associated, or trended toward association, with multicomponent teaching strategies and higher Kirkpatrick levels of assessment, which prepare students to provide SDoH responsive care that could lead to reduction in health inequities.

Race and Ethnicity, Socioeconomic Factors, and Epigenetic Age Acceleration in Survivors of Childhood Cancer

Current research in epigenetic age acceleration (EAA) is limited to non-Hispanic White individuals. It is imperative to improve inclusivity by considering racial and ethnic minorities in EAA research. To compare non-Hispanic Black with non-Hispanic White survivors of childhood cancer by examining the associations of EAA with cancer treatment exposures, potential racial and ethnic disparity in EAA, and mediating roles of social determinants of health (SDOH). In this cross-sectional study, participants were from the St Jude Lifetime Cohort, which was initiated in 2007 with ongoing follow-up. Eligible participants included non-Hispanic Black and non-Hispanic White survivors of childhood cancer treated at St Jude Children's Research Hospital between 1962 and 2012 who had DNA methylation data. Data analysis was conducted from February 2023 to May 2024. Three treatment exposures for childhood cancer (chest radiotherapy, alkylating agents, and epipodophyllotoxin). DNA methylation was generated from peripheral blood mononuclear cell-derived DNA. EAA was calculated as residuals from regressing Levine or Horvath epigenetic age on chronological age. SDOH included educational attainment, annual personal income, and the socioeconomic area deprivation index (ADI). General linear models evaluated cross-sectional associations of EAA with race and ethnicity (non-Hispanic Black and non-Hispanic White) and/or SDOH, adjusting for sex, body mass index, smoking, and cancer treatments. Adjusted least square means (ALSM) of EAA were calculated for group comparisons. Mediation analysis treated SDOH as mediators with average causal mediation effect (ACME) calculated for the association of EAA with race and ethnicity. Among a total of 1706 survivors including 230 non-Hispanic Black survivors (median [IQR] age at diagnosis, 9.5 [4.3-14.3] years; 103 male [44.8%] and 127 female [55.2%]) and 1476 non-Hispanic White survivors (median [IQR] age at diagnosis, 9.3 [3.9-14.6] years; 766 male [51.9%] and 710 female [48.1%]), EAA was significantly greater among non-Hispanic Black survivors (ALSM = 1.41; 95% CI, 0.66 to 2.16) than non-Hispanic White survivors (ALSM = 0.47; 95% CI, 0.12 to 0.81). Among non-Hispanic Black survivors, EAA was significantly increased among those exposed to chest radiotherapy (ALSM = 2.82; 95% CI, 1.37 to 4.26) vs those unexposed (ALSM = 0.46; 95% CI, -0.60 to 1.51), among those exposed to alkylating agents (ALSM = 2.33; 95% CI, 1.21 to 3.45) vs those unexposed (ALSM = 0.95; 95% CI, -0.38 to 2.27), and among those exposed to epipodophyllotoxins (ALSM = 2.83; 95% CI, 1.27 to 4.40) vs those unexposed (ALSM = 0.44; 95% CI, -0.52 to 1.40). The association of EAA with epipodophyllotoxins differed by race and ethnicity (β for non-Hispanic Black survivors, 2.39 years; 95% CI, 0.74 to 4.04 years; β for non-Hispanic White survivors, 0.68; 95% CI, 0.05 to 1.31 years) and the difference was significant (1.77 years; 95% CI, 0.01 to 3.53 years; P for interaction = .049). Racial and ethnic disparities in EAA were mediated by educational attainment (<high school vs ≥college, ACME = 0.13; high school vs ≥college, ACME = 0.07; mediation = 22.71%) and ADI (ACME = 0.24; mediation = 22.16%). In this cross-sectional study of childhood cancer survivors, race and ethnicity moderated the association of EAA with epipodophyllotoxin exposure and racial and ethnic differences in EAA were partially mediated by educational attainment and ADI, indicating differential treatment toxic effects by race and ethnicity. These findings suggest that improving social support systems may mitigate socioeconomic disadvantages associated with even greater accelerated aging and reduce health disparities among childhood cancer survivors.