Trends in prevalence of adverse childhood experiences by sociodemographic factors in the United States: Behavioral Risk Factor Surveillance System 2009-2022.

BACKGROUND: Limited data exists on trends in prevalence of adverse childhood experiences (ACE) at the national level and sociodemographic correlates of having ACEs. This study examined trends in ACE prevalence and sociodemographic correlates in US adults over 14 years using nationally representative data. METHODS: Data on 447,162 adults from the Behavioral Risk Factor Surveillance System (BRFSS) across four timepoints (2009-2010; 2011-2012; 2019-2020; 2021-2022) was analyzed and weighted for population estimates. The primary outcome was ACEs with 3 groups used (0 vs. 1 + ACEs; <4 vs. 4 + ACEs; 0 vs. 1 vs. 2 vs. 3 vs. 4 + ACEs). Sociodemographic factors included age, sex, race/ethnicity, employment, education, marital status, income and insurance status. Prevalence trends were examined by estimating prevalence of ACE groupings (0/1+; <4/4+; 0,1,2,3,4+) across the four timepoints and trend analysis was performed to determine if the differences over time were statistically significant. Unadjusted and adjusted prevalence ratios were estimated using log-binomial regression models with ACE groupings as the outcome and timepoints as the primary independent variable with sociodemographic factors as covariates. RESULTS: Across the four time points, prevalence of ACEs was higher across groupings of ACEs by time. For ACEs 1+, prevalence was 62.2% (2009-2010); 62.2% (2011-2012); 64.5% (2019-2020); and 67.2% (2021-2022). For ACEs 4+, prevalence was 17.4% (2009-2010); 18.1% (2011-2012); 20.4% (2019-2020); and 22.6% (2021-2022). Prevalence of ACE 1 + was higher for older adults, Non-Hispanic Black adults, Non-Hispanic Other adults, and those with higher education. Prevalence of 4 + ACEs was higher for females, and lower for those with higher education and those with higher annual incomes. CONCLUSION: This study shows an increased prevalence of having ACEs over a 14-year period and identified independent sociodemographic correlates of having ACEs in a nationally representative study. Targeted interventions are needed to reduce burden of ACEs using population-based approaches.

Prevalence of Diabetes and the Relationship Between Wealth and Social Demographic Characteristics Across 6 Low-and-Middle Income Countries.

Background: As the global burden of diabetes persists, research is needed to understand the role of wealth and correlates of diabetes across regions of the world. The purpose of this study is to examine the prevalence and role of wealth and diabetes across 6 low- and middle- income countries while also accounting for independent correlates of diabetes by country. Methods: Data from the Study on Global Ageing and Adult Health (SAGE), SAGE Wave 1 was used. Self-reported diabetes status was the primary dependent variable and wealth quintile, number of dwelling characteristics and possession of a set of assets, was the independent variable. Logistic regression models examined the relationship between wealth and presence of diabetes across 6 countries with the highest wealth quintile, quintile 1, serving as the reference group. Results: Sample size by country included Ghana N = 5573, South Africa N = 4227, Russia N = 4947, Mexico N = 5448, India N = 12198, and China N = 15050. Average age across country ranged from 49 to 63 years of age. Prevalence of diabetes across country included 3.4% and 9.2% for Ghana and South Africa, respectively. In Russia, 8.3%; Mexico, 18.1%; India, 4.9%; and China, 5.9% of the sample reported having diabetes. In the adjusted logistic model, wealth was associated with higher odds of diabetes in Ghana (OR 2.26; CI 1.28; 4.13), South Africa (OR 4.57; CI 2.25; 10.32), Mexico (OR 2.00; CI 1.14; 3.60), India (OR 2.45; CI 1.60; 3.86), and China (OR 2.16; CI 1.62, 2.93). Conclusions: These findings add to the growing body of evidence in our understanding between wealth and diabetes. As diabetes persists as a leading cause of death globally, future work should focus on mechanisms underlying the relationship between wealth and diabetes while also developing interventions to mitigate his burgeoning disease affecting communities across low- and middle-income countries.

Relationship Between Delay Discounting and Clinical Diabetes Outcomes: A Systematic Review.

OBJECTIVE: To evaluate the evidence on the relationship between delay discounting and clinical diabetes outcomes, identify current measures, and recommend areas for future work. METHODS: A reproducible search using OVID Medline, PsycINFO, PubMed, Science Direct, and Scopus was conducted. Articles published from database creation up to March 2024 were searched. Medical Subject Heading (MeSH) terms and keywords representing delay discounting and diabetes were used. Outcomes included hemoglobin A1c (HbA1c), LDL, body mass index (BMI), blood pressure, quality of life (QOL), psychosocial factors, self-care behaviors, and diabetes complications. RESULTS: A total of 15 articles met the inclusion criteria and were included for final synthesis. Overall, 14 studies included in this review found a significant relationship between delay discounting and diabetes-related outcomes, such that higher delay discounting is significantly related to worse diabetes outcomes for HbA1c, self-care behaviors, BMI, stress, and quality of life across self-reported measures of delay discounting and delay discounting tasks. CONCLUSIONS: Evidence supports the relationship between delay discounting and diabetes-related outcomes and self-care behaviors across measures of delay discounting and type of diabetes. To understand delay discounting as a mechanism driving diabetes outcomes and to develop targeted interventions, additional work using a multidisciplinary approach is needed to validate the construct, identify pathways, and refine intervention approaches that can be tested to improve population health.

Contextualizing risk, pathways, and solutions for the relationship between adverse childhood experiences (ACEs) and type 2 diabetes among inner-city African Americans: A qualitative analysis and development of a theoretical framework.

PURPOSE: Adverse childhood experiences (ACEs) confer significant risk for diabetes in adulthood. The purpose of this study was to explore perceptions about risk, potential pathways leading to diabetes, and solutions based on the lived experience. METHODS: Three focus groups were conducted. A semi-structured interview guide was used to explore prevalence and causes of ACEs, pathways to diabetes, and possible solutions. Grounded theory was used for analysis. Constant comparisons resulted in emergent themes that were indexed and compared with the rest of the data to establish analytical categories. Analytical categories were further refined as additional data was collected until groups of key themes or categories were identified and used to construct a theoretical framework. RESULTS: Participants totaled 23 across 3 groups. All participants were African American. Average age was 49, average number of years living with diabetes was 13 years. Participants included both men and women. Participants experienced one or more occasions of sexual abuse, physical and verbal abuse, and neglect. The major themes can be classified as A. Cause, B. Pathway, and C. Treatment/solution. LIMITATIONS: Findings may not generalize to the overall population with ACEs and diabetes. CONCLUSIONS: Three major themes were identified: family instability and financial hardship as risks for ACEs, maladaptive coping leading to diabetes, and social structure as a potential solution. Future research is needed to examine quantitatively, pathways to inform prevention at the primary, secondary, and tertiary levels of care for both the prevention of ACEs, mitigating risk for diabetes, and improving overall health.

Historic Redlining and Impact of Structural Racism on Diabetes Prevalence in a Nationally Representative Sample of U.S. Adults.

OBJECTIVE: We investigated direct and indirect relationships between historic redlining and prevalence of diabetes in a U.S. national sample. RESEARCH DESIGN AND METHODS: Using a previously validated conceptual model, we hypothesized pathways between structural racism and prevalence of diabetes via discrimination, incarceration, poverty, substance use, housing, education, unemployment, and food access. We combined census tract-level data, including diabetes prevalence from the Centers for Disease Control and Prevention PLACES 2019 database, redlining using historic Home Owners' Loan Corporation (HOLC) maps from the Mapping Inequality project, and census data from the Opportunity Insights database. HOLC grade (a score between 1 [best] and 4 [redlined]) for each census tract was based on overlap with historically HOLC-graded areas. The final analytic sample consisted of 11,375 U.S. census tracts. Structural equation modeling was used to investigate direct and indirect relationships adjusting for the 2010 population. RESULTS: Redlining was directly associated with higher crude prevalence of diabetes within a census tract (r = 0.01; P = 0.008) after adjusting for the 2010 population (χ2(54) = 69,900.95; P < 0.001; root mean square error of approximation = 0; comparative fit index = 1). Redlining was indirectly associated with diabetes prevalence via incarceration (r = 0.06; P < 0.001), poverty (r = -0.10; P < 0.001), discrimination (r = 0.14; P < 0.001); substance use (measured by binge drinking: r = -0.65, P < 0.001; and smoking: r = 0.35, P < 0.001), housing (r = 0.06; P < 0.001), education (r = -0.17; P < 0.001), unemployment (r = -0.17; P < 0.001), and food access (r = 0.14; P < 0.001) after adjusting for the 2010 population. CONCLUSIONS: Redlining has significant direct and indirect relationships with diabetes prevalence. Incarceration, poverty, discrimination, substance use, housing, education, unemployment, and food access may be possible targets for interventions aiming to mitigate the impact of structural racism on diabetes.

Understanding the relationship between social risk factors and functional limitation among stroke survivors in the US.

BACKGROUND: Stroke is the fifth leading cause of death and disability in the United States. Social risk factors contribute to recovery from stroke, however the relationship between social risk factors and functional limitation among stroke survivors remains unknown. METHODS: Data on 2,888 adults with stroke from the National Health Interview Survey from 2016-2018 was analyzed. The primary independent variables included six social risk factors: economic instability, lack of community, educational deficit, food insecurity, social isolation, and inadequate access to care. The outcome measure was functional limitation count. Negative binomial regression models were run to test the relationship between the independent and dependent variables adjusting for covariates. RESULTS: Overall, 56% of the study participants were aged 65+, 70% were Non-Hispanic White, and 95% had at least one comorbidity. The mean functional limitation count was 1.8. In the unadjusted model, each social risk factor was significantly associated with functional limitation. In the fully adjusted model, significant association with functional limitation was found in individuals reporting economic instability (Incidence rate ratio [IRR] 1.65, 95% CI 1.33, 2.06), food insecurity (IRR 1.28, 95% CI 1.15, 1.42), and social isolation (IRR 1.64, 95% CI 1.48, 1.82). CONCLUSIONS: Social risk factors such as economic instability, food insecurity and social isolation are significantly associated with functional limitation in adults with stroke. Interventions designed to address both social and medical needs have the potential to improve physical functioning and other clinical outcomes in stroke survivors.

Relationship between delay discounting, delay aversion and psychosocial domains of diabetes care.

PURPOSE: Delay discounting and aversion are important areas for diabetes management; however, little has been done to understand the relationship with psychosocial outcomes among adults with type 2 diabetes. METHODS: This study used data from 365 adults with type 2 diabetes to evaluate relationships between delay discounting and aversion and psychosocial outcomes. Delay discounting and aversion were measured with the validated Quick Delay Questionnaire. Psychosocial outcomes included depression, measured by the PHQ, anxiety by the GAD scale, perceived stress by the PSS, and social support by the Duke Social Support and Stress Scale. Multiple linear regression was used to assess the relationship between delay discounting and aversion on psychological health and social support controlling for relevant covariates. RESULTS: Mean age of the sample was 61.8 years, 54.5 % were NHB, 41.8 % NHW, and 3.7 % Hispanic/Other. After adjusting for covariates, delay aversion was significantly associated with depression (beta = 0.35; p < 0.001), anxiety (beta = 0.52; p < 0.001), perceived stress (beta = 0.22; p < 0.001), and lower family support (beta = -0.62; p < 0.05). Delay discounting was significantly associated with depression (beta = 0.32; p < 0.001), anxiety (beta = 0.46; p < 0.001), and perceived stress (beta = 0.26; p < 0.001). LIMITATIONS: This data is cross-sectional, future work should examine the longitudinal relationship while also including additional psychosocial outcomes. CONCLUSIONS: Delay discounting and aversion are significantly associated with poor psychosocial outcomes, including lower social support. As the body of evidence grows, additional research is needed to better understand the construct, mechanisms, and the impact of choice settings to better inform intervention development.

Prevalence and correlates of pre-diabetes in Sub-Saharan Africa using Demographic and Health Survey Data: a cross-sectional study.

OBJECTIVE: The objective is to investigate the prevalence of pre-diabetes in Namibia and South Africa and to determine sociodemographic correlates of disease using population data. DESIGN: Cross-sectional study. SETTING: Demographic and Health Survey for emerging (Namibia) and established (South Africa) economies in Sub-Saharan Africa collected laboratory data that allowed determination of pre-diabetes status. PARTICIPANTS: 3141 adults over age 18 from the 2013 Namibia survey, weighted to a population of 2176, and 4964 adults over age 18 from the 2016 South Africa survey, weighted to a population of 4627 had blood glucose/glycated haemoglobin (HbA1c) and diabetes information were included in the analysis. OUTCOME MEASURES: Pre-diabetes was defined as not being diagnosed with diabetes and having a blood sugar measurement of 100-125 mg/dL in Namibia or an HbA1c measurement of 5.7%-6.4%. Logistic models were run for each country separately, with pre-diabetes as the outcome and a series of sociodemographic variables (age, gender, urban/rural residence, number of children, employment status, wealth index, education level, and ethnicity (in South Africa) or religion (in Namibia)) entered as variables to investigate the independent relationship of each. RESULTS: The weighted prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Rural residence was independently associated with higher odds of pre-diabetes in Namibia (1.47, 95% CI 1.05 to 2.06), while both younger age (0.98, 95% CI 0.97 to 0.99) and urban residence (0.80, 95% CI 0.66 to 0.99) were independently associated with odds of pre-diabetes in South Africa. CONCLUSIONS: The prevalence of pre-diabetes was 18.7% in Namibia and 70.1% in South Africa. Correlates of pre-diabetes differed between the two countries with rural residents having higher odds of pre-diabetes in Namibia and urban residents with higher odds in South Africa. Aggressive interventions, including population level education and awareness programmes, and individual level education and lifestyle interventions that account for country-specific contextual factors are urgently needed to prevent progression to diabetes.

Relationship between Satisfaction Scores and Racial/Ethnic and Sex Concordance in Primary Care.

Racial/ethnic and sex concordance between patients and providers has been suggested as an important consideration in improving satisfaction and increasing health equity. We aimed to guide local efforts by understanding the relationship between satisfaction with care and patient-provider racial/ethnic and sex concordance within our academic medical center's primary care clinic. METHODS: Satisfaction data for encounters from August 2016 to August 2019 were matched to data from the medical record for patient demographics and comorbidities. Data on 33 providers were also obtained, and racial/ethnic and sex concordance between patients and providers was determined for each of the 3672 unique encounters. The primary outcome was top-box scoring on the CGCAHPS overall satisfaction scale (0-8 vs. 9-10). Generalized mixed-effects logistic regression, including provider- and patient-level factors as fixed effects and a random intercept effect for providers, were used to determine whether concordance had an independent relationship with satisfaction. RESULTS: 89.0% of the NHW-concordant pairs and 90.4% of the Minority Race/Ethnicity-concordant pairs indicated satisfaction, while 90.1% of the male-concordant and 85.1% of the female-concordant pairs indicated satisfaction. When fully adjusted, the female-concordant (OR = 0.58, 95% CI 0.35-0.94) and male-discordant (OR = 0.68, 95% CI 0.51-0.91) pairs reported significantly lower top-box satisfaction compared to the male-concordant pairs. Significant differences did not exist in racial/ethnic concordance. CONCLUSIONS: In this sample, differences in sex concordance were noted; however, patient- and provider-level factors may be more influential in driving patient satisfaction than race/ethnicity in this health system.

Historic Residential Redlining and Present-Day Social Determinants of Health, Home Evictions, and Food Insecurity within US Neighborhoods.

OBJECTIVE: Examine the association between historic residential redlining and present-day racial/ethnic composition of neighborhoods, racial/ethnic differences in social determinant of health domains, and risk of home evictions and food insecurity. RESEARCH DESIGN AND METHODS: We examined data on 12,334 (for eviction sample), and 8996 (for food insecurity sample), census tracts in 213 counties across 37 states in the USA with data on exposure to historic redlining. First, we examined relationships between Home Owners' Loan Corporation (HOLC) redlining grades (A="Best", B="Still Desirable", C="Definitely Declining", D="Hazardous") and present-day racial/ethnic composition and racial/ethnic differences in social determinant of health domains of neighborhoods. Second, we examined whether historic redlining is associated with present-day home eviction rates (measured across eviction filings rates, and eviction judgment rates for 12,334 census tracts in 2018) and food insecurity (measured across low supermarket access, low supermarket access and income, low supermarket access and low car ownership for 8996 census tracts in 2019). Multivariable regression models were adjusted for census tract population, urban/rural designation, and county level fixed effects. RESULTS: Relative to areas with a historic HOLC grading of "A (Best)", areas with a "D (Hazardous)" grading had a 2.59 (95%CI=1.99-3.19; p-value<0.01) higher rate of eviction filings, and a 1.03 (95%CI=0.80-1.27; p-value<0.01) higher rate of eviction judgments. Compared to areas with a historic HOLC grading of "A (Best)", areas rated with a "D (Hazardous)" had a 16.20 (95%CI=15.02-17.79; p-value<0.01) higher rate of food insecurity based on supermarket access and income, and a 6.15 (95%CI =5.53-6.76; p-value<0.01) higher rate of food insecurity based on supermarket access and car ownership. CONCLUSIONS: Historic residential redlining is significantly associated with present-day home evictions and food insecurity, highlighting persistent associations between structural racism and present-day social determinants of health.

The role of structural racism and geographical inequity in diabetes outcomes.

Diabetes is pervasive, exponentially growing in prevalence, and outpacing most diseases globally. In this Series paper, we use new theoretical frameworks and a narrative review of existing literature to show how structural inequity (structural racism and geographical inequity) has accelerated rates of diabetes disease, morbidity, and mortality globally. We discuss how structural inequity leads to large, fixed differences in key, upstream social determinants of health, which influence downstream social determinants of health and resultant diabetes outcomes in a cascade of widening inequity. We review categories of social determinants of health with known effects on diabetes outcomes, including public awareness and policy, economic development, access to high-quality care, innovations in diabetes management, and sociocultural norms. We also provide regional perspectives, grounded in our theoretical framework, to highlight prominent, real-world challenges.

Interventions to address global inequity in diabetes: international progress.

Diabetes is a serious chronic disease with high associated burden and disproportionate costs to communities based on socioeconomic, gender, racial, and ethnic status. Addressing the complex challenges of global inequity in diabetes will require intentional efforts to focus on broader social contexts and systems that supersede individual-level interventions. We codify and highlight best practice approaches to achieve equity in diabetes care and outcomes on a global scale. We outline action plans to target diabetes equity on the basis of the recommendations established by The Lancet Commission on Diabetes, organising interventions by their effect on changing the ecosystem, building capacity, or improving the clinical practice environment. We present international examples of how to address diabetes inequity in the real world to show that approaches addressing the individual within a larger social context, in addition to addressing structural inequity, hold the greatest promise for creating sustainable and equitable change that curbs the global diabetes crisis.

Evolution of a Cocurricular Program to Support Student Professional Identity Formation.

OBJECTIVE: Describe the development, implementation, and assessment of a cocurricular program intentionally designed to foster professional identity formation at a private institution. METHODS: A cocurricular committee was established which developed a cocurriculum program in 3 phases. The committee utilized a gap analysis to inform the development of a continuing-education-based elective program (phase I), broadened program components and enhanced assessment (phase II), and continued to strengthen select areas of the affective domains through a second gap analysis and implement a summative assessment (phase III). RESULTS: Over 2 academic years, the completion rates for reflections, continuing education programming, and community outreach in the most recent academic year were consistently above 80% by the final due date. Rates of the mentor-mentee meetings fell below 50%; however, this component is tracked by the faculty member and not the students. Community outreach monitoring was managed by the committee for the first time in the 2021-2022 academic year and completion rates increased from 64% to 82%. Student reflections indicated consistent progression toward practice readiness from first- to third-year pharmacy students. For the Pharmacy Affective Domain Situational Judgment test, 22% and 16% of first-year pharmacy students were flagged during the first and second year implemented, respectively, and only 8% of the third-year pharmacy students were flagged in both years. CONCLUSION: Utilization of a cocurricular committee has been vital for the development, progression, and assessment of the cocurriculum at a single private institution.

Dose response relationship between food insecurity and quality of life in United States adults: 2016-2017.

BACKGROUND: Food insecurity is associated with worse general health rating, but little research exists investigating whether there is a dose response relationship across levels of food security and mental and physical health domains at the population level. METHODS: Data from the Medical Expenditure Panel Survey (2016-2017) with US adults aged 18 years and older was used. The physical component score (PCS) and mental component score (MCS) of Quality of Life, served as the outcome measures. Four categories of food insecurity (high, marginal, low, very low food security) served as the primary independent variable. Linear regression was used to run unadjusted followed by adjusted models. Separate models were run for PCS and MCS. RESULTS: In a sample of US adults, 16.1% reported some degree of food insecurity. For PCS, marginal (ß = - 2.54 (p < 0.001), low (ß = - 3.41, (p < 0.001), and very low (ß = - 5.62, (p < 0.001) food security was associated with worse PCS scores, compared to adults with high food security. For MCS, marginal (ß = - 3.90 (p < 0.001), low (ß = - 4.79, (p < 0.001), and very low (ß = - 9.72, (p < 0.001) food security was associated with worse MCS scores, compared to adults with high food security. CONCLUSION: Increasing levels of food insecurity were associated with decreased physical and mental health quality of life scores. This relationship was not explained by demographic factors, socioeconomic factors, insurance, or comorbidity burden. This study suggests work is needed to mitigate the impact of social risk, such as food insecurity, on quality of life in adults, and understand pathways and mechanisms for this relationship.

Racial/ethnic differences in social determinants of health and health outcomes among adolescents and youth ages 10-24 years old: a scoping review.

INTRODUCTION: With the recent emergence of the Healthy People 2030 goals there is a need to understand the role of SDOH on health inequalities from an upstream perspective. This review summarizes the recent body of evidence on the impact of SDOH across adolescence and youth health outcomes by race/ethnicity using the Health People 2030 Framework. METHODS: A systematic, reproducible search was performed using PubMed, Academic Search Premier, PsychInfo, and ERIC. A total of 2078 articles were screened for inclusion. A total of 263 articles met inclusion criteria, resulting in 29 articles included for final synthesis. RESULTS: Across the 29 articles, 11 were cross-sectional, 16 were cohort, and 2 were experimental. Across SDOH categories (economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context), 1 study examined self-efficacy, 6 educational attainment, 10 behavior, 5 smoking, 11 alcohol use, 10 substance use, and 1 quality of life. The majority of outcomes represented in this search included health behaviors such as health risk behavior, smoking, alcohol use, and substance use. Across the 29 articles identified, significant differences existed across outcomes by race/ethnicity across SDOH factors, however magnitude of differences varied by SDOH category. DISCUSSION: SDOH differentially affect adolescents and youth across race/ethnicity. The lived adverse experiences, along with structural racism, increase the likelihood of adolescents and youth engaging in risky health behaviors and negatively influencing health outcomes during adolescence and youth. Research, public health initiatives, and policies integrating SDOH into interventions at early stage of life are needed to effectively reduce social and health inequalities at a population level.

Structural Racism as an Upstream Social Determinant of Diabetes Outcomes: A Scoping Review.

OBJECTIVE: To evaluate the evidence on the role of structural racism as an upstream factor impacting diabetes outcomes, identify current gaps, and recommend areas for future work. RESEARCH DESIGN AND METHODS: A reproducible search of Medline and Ovid was used. Structural factors based on the World Health Organization social determinants of health framework (governance, macroeconomic policy, social policy, public policy, and cultural and societal values) had to be included as measured variables or contextual factors discussed as upstream influences. Outcomes included 1) hemoglobin A1c (HbA1c), 2) LDL, 3) BMI, 4) quality of life, 5) self-efficacy, 6) mortality, 7) years of life lost, and 8) self-care behaviors. RESULTS: Thirteen articles were included for final synthesis. Ten studies focused on governance, two on social policies, one on public policies, and one on cultural and societal values. Results highlight significant associations between structural racism and poorer clinical outcomes (HbA1c and blood pressure), worse self-care behaviors (diet and physical activity), lower standards of care, higher mortality, and more years of life lost for adults with diabetes. CONCLUSIONS: There is a paucity of work investigating the relationship between structural racism and diabetes outcomes. Five areas for future work include 1) more rigorous research on the relationship between structural racism, downstream social determinants, and health outcomes in diabetes, 2) policy assessments specific to diabetes outcomes, 3) research designed to examine pathways and mechanisms of influence, 4) intervention development to mitigate the impact of structural racism, and 5) tracking and monitoring of change over time.

Feasibility, impact, and priority of key strategies to enhance diverse and inclusive training programs in clinical and translational research: A mixed methods study.

Background: Enhancing diversity in the scientific workforce is a long-standing issue. This study uses mixed methods to understand the feasibility, impact, and priority of six key strategies to promote diverse and inclusive training and contextualize the six key strategies across Clinical and Translational Science Awards (CTSAs) Program Institutions. Methods: Four breakout sessions were held at the NCATS 2020 CTSA Program annual meeting focused on diversity, equity, and inclusion (DEI) efforts. This paper focuses on the breakout session for Enhancing DEI in Translational Science Training Programs. Data were analyzed using a mixed methods convergent approach. The quantitative strand includes the online polling results. The qualitative strand includes the breakout session and the chat box in response to the training presentation. Results: Across feasibility, impact, and priority questions, prioritizing representation ranked number 1. Building partnerships ranked number 2 in feasibility and priority, while making it personal ranked number 2 for impact. Across each strategy, rankings supported the qualitative data findings in feasibility through shared experiences, impact in the ability to increase DEI, and priority rankings in comparison to the other strategies. No divergence was found across quantitative and qualitative data findings. Conclusion: Findings provide robust support for prioritizing representation as a number one strategy to focus on in training programs. Specifically, this strategy can be operationalized through integration of community representation, diversity advocates, and adopting a holistic approach to recruiting a diverse cadre of scholars into translational science training programs at the national level across CTSAs.

Modern Day Consequences of Historic Redlining: Finding a Path Forward.

There is emerging evidence that structural racism is a major contributor to poor health outcomes for ethnic minorities. Structural racism captures upstream historic racist events (such as slavery, black code, and Jim Crow laws) and more recent state-sanctioned racist laws in the form of redlining. Redlining refers to the practice of systematically denying various services (e.g., credit access) to residents of specific neighborhoods, often based on race/ethnicity and primarily within urban communities. Historical redlining is linked to increased risk of diabetes, hypertension, and early mortality due to heart disease with evidence suggesting it impacts health through suppressing economic opportunity and human capital, or the knowledge, skills, and value one contributes to society. Addressing structural racism has been a rallying call for change in recent years-drawing attention to the racialized impact of historical policies in the USA. Unfortunately, the enormous scope of work has also left people feeling incapable of effecting the very change they seek. This paper highlights a path forward by briefly discussing the origins of historical redlining, highlighting the modern-day consequences both on health and at the societal level, and suggest promising initiatives to address the impact.

Mentoring strategies to support diversity in research-focused junior faculty: A scoping review.

Objective: The purpose of this scoping review is two-fold: to assess the literature that quantitatively measures outcomes of mentorship programs designed to support research-focused junior faculty and to identify mentoring strategies that promote diversity within academic medicine mentoring programs. Methods: Studies were identified by searching Medline using MESH terms for mentoring and academic medicine. Eligibility criteria included studies focused on junior faculty in research-focused positions, receiving mentorship, in an academic medical center in the USA, with outcomes collected to measure career success (career trajectory, career satisfaction, quality of life, research productivity, leadership positions). Data were abstracted using a standardized data collection form, and best practices were summarized. Results: Search terms resulted in 1,842 articles for title and abstract review, with 27 manuscripts meeting inclusion criteria. Two studies focused specifically on women, and four studies focused on junior faculty from racial/ethnic backgrounds underrepresented in medicine. From the initial search, few studies were designed to specifically increase diversity or capture outcomes relevant to promotion within academic medicine. Of those which did, most studies captured the impact on research productivity and career satisfaction. Traditional one-on-one mentorship, structured peer mentorship facilitated by a senior mentor, and peer mentorship in combination with one-on-one mentorship were found to be effective strategies to facilitate research productivity. Conclusion: Efforts are needed at the mentee, mentor, and institutional level to provide mentorship to diverse junior faculty on research competencies and career trajectory, create a sense of belonging, and connect junior faculty with institutional resources to support career success.