Reimagining educational equity through strategic alliance partnerships in response to the USA STEM-M diversity gap.

Addressing the USA diversity gap in science, technology, engineering, mathematics and medicine (STEM-M) through strategic alliance partnerships (SAPs) is an innovative solution toward combating the educational inequalities presented in K-12 education for marginalized youth interested in STEM-M professions. We present a model that unites multiple stakeholder s committed to diversifying the workforce in STEM-M, through the implementation of a multi-year high school pipeline program designed to better achieve STEM-M equity, access and opportunity at the secondary school level. We developed a unique model based on an SAP in a large metropolitan area in the Midwest that joins an Academic Medical Center and a local Public High School. Our results involving 46 students over 8 years demonstrate 100% high school graduation rates; 97% college attendance with full or partial scholarship support, and early evidence of post-graduation aspirations in STEM-M careers. Our early progress calls for more rigorous study against standard educational practices. If our program is proven to be more effective, then potentially more strategic public-private partnerships to foster K-12 pipeline programs to better achieve equity through educational access, opportunities and resources should be developed and targeted for those marginalized youth that have been historically denied STEM-M opportunities. After 10 years of dedicated effort, we see evidence of potential benefits of this SAP to develop K-12 pipeline programs with similar aims of STEM-M diversification, particularly by way of more-equitable provision of educational opportunities to students belonging to minority racial and ethnic groups.

The association of cortisol curve features with incident diabetes among whites and African Americans: The CARDIA study.

INTRODUCTION: A flatter diurnal cortisol curve has been associated with incident diabetes among older white adults. However, this relationship has not been examined among middle-aged individuals or African Americans [AA]. We analyzed the longitudinal association of baseline diurnal cortisol curve features with incident diabetes over a 10 year period in a cohort of AA and white participants who were, on average, 40 years old. METHODS: Salivary cortisol was collected immediately post-awakening, then subsequently 45 min, 2.5 h, 8 h, and 12 h later, as well as at bedtime. Cortisol curve features included wake-up cortisol; cortisol awakening response (CAR); early, late, and overall decline slopes; bedtime cortisol; and 16 -h area under the curve (AUC). Salivary cortisol (nmol/L) was log-transformed due to positively skewed distributions. Diabetes was defined as fasting plasma glucose ≥ 126 mg/dL or taking diabetes medication. Logistic regression models were used to investigate the association of log-transformed cortisol curve features with incident diabetes. The analysis was stratified by race and adjusted for age, sex, education, depressive symptoms, smoking status, beta-blocker and steroid medication use and BMI. RESULTS: Among 376 AA and 333 white participants (mean age 40 years), 67 incident diabetes cases occurred over 10 years. After full adjustment for additional covariates, a 1-unit log increase in CAR was associated with a 53 % lower odds of incident diabetes among whites (Odds Ratio [OR] 0.47, 95 % CI: 0.24, 0.90). A 1-SD increase in late decline slope was associated with a 416 % higher odds of incident diabetes among whites (OR 5.16, 95 % CI: 1.32, 20.20). There were no significant associations in AAs. CONCLUSION: A robust CAR and flatter late decline slope are associated with lower and higher odds of incident diabetes, respectively, among younger to middle-aged whites and may provide a future target for diabetes prevention in this population.

Race, Body Mass Index, and the Risk of Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis.

Background Higher body mass index (BMI) is associated with increased risk of incident atrial fibrillation (AF), but it is not known whether this relationship varies by race/ethnicity. Methods and Results Eligible participants (6739) from MESA (Multi-Ethnic Study of Atherosclerosis) were surveilled for incident AF using MESA hospital surveillance, scheduled MESA study ECG, and Medicare claims data. After a median 13.8 years of follow-up, 970 participants (14.4%) had incident AF. With BMI modeled categorically in a Cox proportional hazards model, only those with grade II and grade III obesity had increased risks of AF (hazard ratio [HR], 1.50; 95% CI, 1.14-1.98, P=0.004 for grade II obesity and HR, 2.13; 95% CI, 1.48-3.05, P<0.0001 for grade III obesity). The relationship between BMI and AF risk was J-shaped. However, the risk of AF as a function of BMI varied substantially by race/ethnicity (P value for interaction=0.02), with Chinese-American participants having a much higher risk of AF with higher BMI and Black participants having minimal increased risk of AF with higher BMI. Conclusions Obesity is associated with an increased risk of incident AF, but the relationship between BMI and the risk of AF is J-shaped and this relationship differs by race/ethnicity, such that Chinese-American participants have a more pronounced increased risk of AF with higher BMI, while Black participants have minimal increased risk. Further exploration of the differential effects of BMI by race/ethnicity on cardiovascular outcomes is needed.

Association of Educational Attainment With Incidence of CKD in Young Adults.

INTRODUCTION: Chronic kidney disease (CKD) is greatly affected by social determinants of health. Whether low educational attainment is associated with incident CKD in young adults is unclear. METHODS: We evaluated the association of education with incident CKD in 3139 Coronary Artery Risk Development in Young Adults participants. We categorized education into low (high school and less), medium (college), and high (master's and professional studies) groups. Incident CKD was defined as new development of estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2 or urine albumin to creatinine ratio (ACR) ≥30 mg/g. Change in eGFR over 20 years was a secondary outcome. RESULTS: At baseline, mean age was 35.0 ± 3.6 years, 47% were Black, and 55% were women. Participants with lower educational attainment were less likely to have high income and health insurance and to engage in a healthy lifestyle. Over 20 years, 407 participants developed CKD (13%). Compared with individuals with low educational attainment, those with medium and high educational attainment had an unadjusted hazard ratios for CKD of 0.79 (95% confidence interval [CI] 0.65-0.97) and 0.44 (95% CI, 0.30-0.63), respectively. This association was no longer significant after adjusting for income, health insurance, lifestyle, and health status. Low educational attainment was significantly associated with a change in eGFR in crude and adjusted analyses, although the association was attenuated in the multivariable models (low: -0.83 [95% CI, -0.91 to -0.75], medium: -0.80 (95% CI, -0.95 to -0.64), and high: -0.70 (95% CI, -0.89 to -0.52) ml/min per 1.73 m2 per yr). CONCLUSIONS: Health care access, lifestyle, and comorbid conditions likely help explain the association between low educational attainment and incident CKD in young adults.

Addressing practical issues of predictive models translation into everyday practice and public health management: a combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions.

INTRODUCTION: Many predictive models for incident type 2 diabetes (T2D) exist, but these models are not used frequently for public health management. Barriers to their application include (1) the problem of model choice (some models are applicable only to certain ethnic groups), (2) missing input variables, and (3) the lack of calibration. While (1) and (2) drives to missing predictions, (3) causes inaccurate incidence predictions. In this paper, a combined T2D risk model for public health management that addresses these three issues is developed. RESEARCH DESIGN AND METHODS: The combined T2D risk model combines eight existing predictive models by weighted average to overcome the problem of missing incidence predictions. Moreover, the combined model implements a simple recalibration strategy in which the risk scores are rescaled based on the T2D incidence in the target population. The performance of the combined model was compared with that of the eight existing models using data from two test datasets extracted from the Multi-Ethnic Study of Atherosclerosis (MESA; n=1031) and the English Longitudinal Study of Ageing (ELSA; n=4820). Metrics of discrimination, calibration, and missing incidence predictions were used for the assessment. RESULTS: The combined T2D model performed well in terms of both discrimination (concordance index: 0.83 on MESA; 0.77 on ELSA) and calibration (expected to observed event ratio: 1.00 on MESA; 1.17 on ELSA), similarly to the best-performing existing models. However, while the existing models yielded a large percentage of missing predictions (17%-45% on MESA; 63%-64% on ELSA), this was negligible with the combined model (0% on MESA, 4% on ELSA). CONCLUSIONS: Leveraging on existing literature T2D predictive models, a simple approach based on risk score rescaling and averaging was shown to provide accurate and robust incidence predictions, overcoming the problem of recalibration and missing predictions in practical application of predictive models.

The Association of Optimism with Sleep Duration and Quality: Findings from the Coronary Artery Risk and Development in Young Adults (CARDIA) Study.

Optimism is associated with better health outcomes with hypothesized effects due in part to optimism's association with restorative health processes. Limited work has examined whether optimism is associated with better quality sleep, a major restorative process. We test the hypothesis that greater optimism is associated with more favorable sleep quality and duration. Main analyses included adults aged 32-51 who participated in the Coronary Artery Risk Development in Young Adults (CARDIA) study (n = 3,548) during the fifth (Year 15: 2000-2001) and sixth (Year 20: 2005-2006) follow-up visits. Optimism was assessed using the revised Life-Orientation Test. Self-report measures of sleep quality and duration were obtained twice 5 years apart. A subset of CARDIA participants (2003-2005) additionally provided actigraphic data and completed the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). Multivariate regression analyses were used to examine associations of optimism and sleep indicators. In cross-sectional analyses of 3548 participants, each standard deviation (SD) higher optimism score resulted in 78% higher odds of self-reporting very good sleep quality. Prospectively, a 1-SD higher optimism score was related to higher odds of reporting persistently good sleep quality across 5-years relative to those with persistently poor sleep [OR = 1.31; 95%CI:1.10,1.56]. In participant with supplementary data, each SD higher optimism score was marginally associated with 22% greater odds of favorable sleep quality [OR = 1.22; 95%CI:1.00,1.49] as measured by the PSQI, with possible mediation by depressive symptoms. Optimism was unrelated to objective actigraphic sleep data. Findings support a positive cross-sectional and prospective association between optimism and self-reported sleep behavior.

Association of Childhood History of Parental Incarceration and Juvenile Justice Involvement With Mental Health in Early Adulthood.

Importance: Young adults with a childhood history of parental incarceration (PI) or juvenile justice involvement (JJI) are more likely to have worse mental health outcomes than their peers. However, the association between mental health and exposure to both PI and JJI (PI plus JJI) is unclear. Objective: To determine the association of PI plus JJI exposure with mental health outcomes in young adulthood. Design, Setting, and Participants: A cross-sectional study of the US National Longitudinal Survey of Adolescent to Adult Health was conducted to examine the associations between PI, JJI, and PI plus JJI and mental health outcomes (ie, depression, anxiety, posttraumatic stress disorder, suicidal ideation, and mental health counseling). In-home interviews were conducted of 13 083 participants; 704 participants with PI after age 18 years were excluded, and 12 379 participants formed the analysis sample. Participants were in grades 7 to 12 in 1994 to 1995 and were ages 24 to 32 years at follow-up in 2008. Data analysis was completed in 2019. Exposures: Parental incarceration, JJI, or PI plus JJI before age 18 years. Main Outcomes and Measures: Mental health outcomes in early adulthood (ages 24-32 years). The analysis included multivariable logistic regression models; accounted for individual, family, and geographic-level factors; and generated adjusted odds ratios. Results: Among 13 083 participants (6962 female; weighted proportion, 49.6%) with a mean age at wave 1 of 15.4 years (95% CI, 15.2-15.7 years), 10 499 (80.2%) did not have a history of PI or JJI, 1247 (9.1%) had childhood PI, 704 (5.2%) had PI after age 18 years, 492 (4.5%) had JJI only, and 141 (1.2%) had PI plus JJI. Sociodemographic characteristics varied by exposure. Exposure to both PI and JJI was associated with a greater risk of depression (adjusted odds ratio, 2.80; 95% CI, 1.60-4.90), anxiety (adjusted odds ratio, 1.89; 95% CI, 1.08-3.31), and posttraumatic stress disorder (adjusted odds ratio, 2.92; 95% CI, 1.09-7.82) compared with peers with neither exposure. Exposure to both PI and JJI did not have an additive association with mental health beyond PI or JJI alone. Conclusions and Relevance: This study suggests that exposure to the criminal justice system during childhood places individuals at risk for poor mental health outcomes in early adulthood. Clinical, advocacy, and policy efforts that prioritize reducing the impact of the US criminal justice system on children may yield substantive improvements in the mental well-being of those individuals as adults.

Association of Social Adversity with Comorbid Diabetes and Depression Symptoms in the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study: A Syndemic Framework.

BACKGROUND: U.S. Hispanics/Latinos experience high lifetime risk for Type 2 diabetes and concurrent psychological depression. This comorbidity is associated with poorer self-management, worse disease outcomes, and higher mortality. Syndemic theory is a novel social epidemiological framework that emphasizes the role of economic and social adversity in promoting disease comorbidity and health disparities. PURPOSE: Informed by the syndemic framework, this study explored associations of socioeconomic and psychosocial adversity (low income/education, trauma history, adverse childhood experiences, ethnic discrimination, neighborhood problems [e.g., violence]) with comorbidity of diabetes and depression symptoms in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and Sociocultural Ancillary Study. METHODS: Participants were 5,247 Latino adults, aged 18-74, enrolled in four U.S. cities from 2008 to 2011. Participants completed a baseline physical exam and measures of depression symptoms and psychosocial adversity. Multinomial logistic regression analyses were conducted to examine associations of adversity variables with comorbid diabetes and high depression symptoms. RESULTS: Household income below $30,000/year was associated with higher odds of diabetes/depression comorbidity (odds ratio [OR] = 4.61; 95% confidence interval [CI]: 2.89, 7.33) compared to having neither condition, as was each standard deviation increase in adverse childhood experiences (OR = 1.41; 95% CI: 1.16, 1.71), ethnic discrimination (OR = 1.23; 95% CI: 1.01, 1.50), and neighborhood problems (OR = 1.53; 95% CI: 1.30, 1.80). CONCLUSION: Low household income, adverse childhood experiences, ethnic discrimination, and neighborhood problems are related to comorbid diabetes and depression in U.S. Latinos. Future studies should explore these relationships longitudinally.

Socioeconomic Adversity, Social Resources, and Allostatic Load Among Hispanic/Latino Youth: The Study of Latino Youth.

OBJECTIVE: We examined associations among socioeconomic adversity, social resources, and allostatic load in Hispanic/Latino youth, who are at high risk for obesity and related cardiometabolic risks. METHODS: Participants were 1343 Hispanic/Latino youth (51% male; ages 8-16 years) offspring of Hispanic Community Health Study/Study of Latinos participants. Between 2012 and 2014, youth underwent a fasting blood draw and anthropometric assessment, and youth and their enrolled caregivers provided social and demographic information. A composite indicator of allostatic load represented dysregulation across general metabolism, cardiovascular, glucose metabolism, lipid, and inflammation/hemostatic systems. Socioeconomic adversity was a composite of caregiver education, employment status, economic hardship, family income relative to poverty, family structure, and receipt of food assistance. Social resources were a composite of family functioning, parental closeness, peer support, and parenting style variables. RESULTS: Multivariable regression models that adjusted for sociodemographic factors, design effects (strata and clustering), and sample weights revealed a significant, positive, association between socioeconomic adversity and allostatic load (ß = .10, p = .035), and a significant, inverse association between socioeconomic adversity and social resources (ß = -.10, p = .013). Social resources did not relate to allostatic load and did not moderate or help explain the association of adversity with allostatic load (all p values > .05). CONCLUSIONS: Statistically significant, but small associations of socioeconomic adversity with both allostatic load and social resources were identified. The small effects may partially reflect range restriction given overall high socioeconomic adversity and high social resources in the cohort.