Diagnosis and Management of Cardiovascular Risk in Individuals With Spinal Cord Injury: A Narrative Review.

More than 16 000 Americans experience spinal cord injury (SCI), resulting in chronic disability and other secondary sequelae, each year. Improvements in acute medical management have increased life expectancy. Cardiovascular disease is a leading cause of death in this population, and seems to occur earlier in individuals with SCI compared with the general population. People with SCI experience a high burden of traditional cardiovascular disease risk factors, including dyslipidemia and diabetes, and demonstrate anatomic, metabolic, and physiologic changes alongside stark reductions in physical activity after injury. They also experience multiple, complex barriers to care relating to disability and, in many cases, compounding effects of intersecting racial and socioeconomic health inequities. Given this combination of risk factors, some investigators have proposed that people with SCI are at increased risk for cardiovascular disease, beyond that associated with traditional risk factors, and SCI could be considered a risk-enhancing factor, analogous to other risk-enhancing factors defined by the 2019 American Heart Association/American College of Cardiology Primary Prevention Guidelines. However, more research is needed in this population to clarify the role of traditional risk factors, novel risk factors, health care access, social determinants of health, and intersectionality of disability, race, and socioeconomic status. There is an urgent need for primary care physicians and cardiologists to have awareness of the importance of timely diagnosis and management of cardiac risk factors for people with SCI.

Social and Psychosocial Determinants of Racial and Ethnic Differences in Cardiovascular Health in the United States Population.

BACKGROUND: Social and psychosocial factors are associated with cardiovascular health (CVH). Our objective was to examine the contributions of individual-level social and psychosocial factors to racial and ethnic differences in population CVH in the NHANES (National Health and Nutrition Examination Surveys) 2011 to 2018, to inform strategies to mitigate CVH inequities. METHODS: In NHANES participants ages ≥20 years, Kitagawa-Blinder-Oaxaca decomposition estimated the statistical contribution of individual-level factors (education, income, food security, marital status, health insurance, place of birth, depression) to racial and ethnic differences in population mean CVH score (range, 0-14, accounting for diet, smoking, physical activity, body mass index, blood pressure, cholesterol, blood glucose) among Hispanic, non-Hispanic Asian, or non-Hispanic Black adults compared with non-Hispanic White adults. RESULTS: Among 16 172 participants (representing 255 million US adults), 24% were Hispanic, 12% non-Hispanic Asian, 23% non-Hispanic Black, and 41% non-Hispanic White. Among men, mean (SE) CVH score was 7.45 (2.3) in Hispanic, 8.71 (2.2) in non-Hispanic Asian, 7.48 (2.4) in non-Hispanic Black, and 7.58 (2.3) in non-Hispanic White adults. In Kitagawa-Blinder-Oaxaca decomposition, education explained the largest component of CVH differences among men (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.36 [0.04] points higher in Hispanic, 0.24 [0.04] points lower in non-Hispanic Asian, and 0.23 [0.03] points higher in non-Hispanic Black participants; P<0.05). Among women, mean (SE) CVH score was 8.03 (2.4) in Hispanic, 9.34 (2.1) in non-Hispanic Asian, 7.43 (2.3) in non-Hispanic Black, and 8.00 (2.5) in non-Hispanic White adults. Education explained the largest component of CVH difference in non-Hispanic Black women (if distribution of education were similar to non-Hispanic White participants, CVH score would be 0.17 [0.03] points higher in non-Hispanic Black participants; P<0.05). Place of birth (born in the United States versus born outside the United States) explained the largest component of CVH difference in Hispanic and non-Hispanic Asian women (if distribution of place of birth were similar to non-Hispanic White participants, CVH score would be 0.36 [0.07] points lower and 0.49 [0.16] points lower, respectively; P<0.05). CONCLUSIONS: Education and place of birth confer the largest statistical contributions to the racial and ethnic differences in mean CVH score among US adults.

Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting.

Social determinants of health (SDOH) are important predictors of poor clinical outcomes in chronic diseases, but their associations among the general cirrhosis population and liver transplantation (LT) are limited. We conducted a retrospective, multiinstitutional analysis of adult (≥18-years-old) patients with cirrhosis in metropolitan Chicago to determine the associations of poor neighborhood-level SDOH on decompensation complications, mortality, and LT waitlisting. Area deprivation index and covariates extracted from the American Census Survey were aspects of SDOH that were investigated. Among 15 101 patients with cirrhosis, the mean age was 57.2 years; 6414 (42.5%) were women, 6589 (43.6%) were non-Hispanic White, 3652 (24.2%) were non-Hispanic Black, and 2662 (17.6%) were Hispanic. Each quintile increase in area deprivation was associated with poor outcomes in decompensation (sHR [subdistribution hazard ratio] 1.07; 95% CI 1.05-1.10; P < .001), waitlisting (sHR 0.72; 95% CI 0.67-0.76; P < .001), and all-cause mortality (sHR 1.09; 95% CI 1.06-1.12; P < .001). Domains of SDOH associated with a lower likelihood of waitlisting and survival included low income, low education, poor household conditions, and social support (P < .001). Overall, patients with cirrhosis residing in poor neighborhood-level SDOH had higher decompensation, and mortality, and were less likely to be waitlisted for LT. Further exploration of structural barriers toward LT or optimizing health outcomes is warranted.

Childhood maltreatment and trajectories of cardiometabolic health across the reproductive life span among individuals with a first birth during the Coronary Artery Risk Development in Young Adults Study.

OBJECTIVE: Childhood adversity is associated with poor cardiometabolic health in adulthood; little is known about how this relationship evolves through childbearing years for parous individuals. The goal was to estimate differences in cardiometabolic health indicators before, during and after childbearing years by report of childhood maltreatment in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. METHODS: Including 743 individuals nulliparous at baseline (1985-1986) with one or more pregnancies >20 weeks during follow-up (1986-2022), we fit segmented linear regression models to estimate mean differences between individuals reporting or not reporting childhood maltreatment (physical or emotional) in waist circumference, triglycerides, high-density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting glucose, and body mass index (BMI) prior to, during, and following childbearing years using generalized estimating equations, allowing for interaction between maltreatment and time within each segment, and adjusting for total parity, parental education, and race (Black or white, self-reported). RESULTS: Individuals reporting maltreatment (19%; 141) had a greater waist circumference (post-childbearing: +2.9 cm, 95% CI (0.7, 5.0), higher triglycerides [post-childbearing: +8.1 mg/dL, 95% CI (0.7, 15.6)], and lower HDL cholesterol [post-childbearing: -2.1 mg/dL, 95% CI (-4.7, 0.5)] during all stages compared to those not reporting maltreatment. There were not meaningful differences in blood pressure, fasting glucose, or BMI. Individuals who reported maltreatment did not report faster changes over time. CONCLUSION: Differences in some aspects of cardiometabolic health between individuals reporting versus not reporting childhood maltreatment were sustained across reproductive life stages, suggesting potentially persistent impacts of childhood adversity.

Association of Race, Ethnicity, and Gender to Disparities in Functional Recovery and Social Health After Major Lower Limb Amputation: A Cross-sectional Pilot Study.

OBJECTIVE: To assess if evidence of disparities exists in functional recovery and social health post-lower limb amputation. DESIGN: Race-ethnicity, gender, and income-based group comparisons of functioning and social health in a convenience sample of lower limb prosthetic users. SETTING: Prosthetic clinics in 4 states. PARTICIPANTS: A geographically diverse cohort of 56 English and Spanish speaking community-dwelling individuals with dysvascular lower limb amputation, between 18-80 years old. INTERVENTIONS: None. MAIN OUTCOMES MEASURES: Primary outcomes included 2 physical performance measures, the Timed Up and Go test and 2-minute walk test, and thirdly, the Prosthetic Limb Users Survey of Mobility. The PROMIS Ability to Participate in Social Roles and Activities survey measured social health. RESULTS: Of the study participants, 45% identified as persons of color, and 39% were women (mean ± SD age, 61.6 (9.8) years). People identifying as non-Hispanic White men exhibited better physical performance than men of color, White women, and women of color by -7.86 (95% CI, -16.26 to 0.53, P=.07), -10.34 (95% CI, -19.23 to -1.45, P=.02), and -11.63 (95% CI, -21.61 to -1.66, P=.02) seconds, respectively, on the TUG, and by 22.6 (95% CI, -2.31 to 47.50, P=.09), 38.92 (95% CI, 12.53 to 65.30, P<.01), 47.53 (95% CI, 17.93 to 77.13, P<.01) meters, respectively, on the 2-minute walk test. Income level explained 14% and 11% of the variance in perceived mobility and social health measures, respectively. CONCLUSIONS: Study results suggest that sociodemographic factors of race-ethnicity, gender, and income level are associated with functioning and social health post-lower limb amputation. The clinical effect of this new knowledge lies in what it offers to health care practitioners who treat this patient population, in recognizing potential barriers to optimal recovery and quality of life. More work is required to assess lived experiences after amputation and provide better understanding of amputation-related health disparities.

Associations of Clinical and Social Risk Factors With Racial Differences in Premature Cardiovascular Disease.

BACKGROUND: Racial differences in cardiovascular disease (CVD) are likely related to differences in clinical and social factors. The relative contributions of these factors to Black-White differences in premature CVD have not been investigated. METHODS: In Black and White adults aged 18 to 30 years at baseline in the CARDIA study (Coronary Artery Risk Development in Young Adults), the associations of clinical, lifestyle, depression, socioeconomic, and neighborhood factors across young adulthood with racial differences in incident premature CVD were evaluated in sex-stratified, multivariable-adjusted Cox proportional hazards models using multiply imputed data assuming missing at random. Percent reduction in the ß estimate (log-hazard ratio [HR]) for race quantified the contribution of each factor group to racial differences in incident CVD. RESULTS: Among 2785 Black and 2327 White participants followed for a median 33.9 years (25th-75th percentile, 33.7-34.0), Black (versus White) adults had a higher risk of incident premature CVD (Black women: HR, 2.44 [95% CI, 1.71-3.49], Black men: HR, 1.59 [1.20-2.10] adjusted for age and center). Racial differences were not statistically significant after full adjustment (Black women: HR, 0.91 [0.55-1.52], Black men: HR 1.02 [0.70-1.49]). In women, the largest magnitude percent reduction in the ß estimate for race occurred with adjustment for clinical (87%), neighborhood (32%), and socioeconomic (23%) factors. In men, the largest magnitude percent reduction in the ß estimate for race occurred with an adjustment for clinical (64%), socioeconomic (50%), and lifestyle (34%) factors. CONCLUSIONS: In CARDIA, the significantly higher risk for premature CVD in Black versus White adults was statistically explained by adjustment for antecedent multilevel factors. The largest contributions to racial differences were from clinical and neighborhood factors in women, and clinical and socioeconomic factors in men.

Depressive Symptom Subgroups and Their Association with Prevalent and Incident Cardiovascular Risk Factors in the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

BACKGROUND: We sought to identify depressive symptom subgroups in a community sample of young adults, investigate their stability over time, and determine their association with prevalent and incident cardiovascular disease (CVD) risk factors. METHOD: Participants were 3377 adults from the Coronary Artery Risk Development in Young Adults study. Using latent class and latent transition analysis, we derived subgroups based on items of the 20-item version of the Center for Epidemiologic Studies Depression Scale in 1990, and examined patterns of change over a 10-year period (1990-2000). Cox regression models were used to examine associations between subgroup membership and prevalent (2000) and incident (2000 to 2016) obesity, hypertension, and diabetes. RESULTS: Three baseline subgroups were identified and labeled: "No Symptoms" (63.5%), "Lack of Positive Affect" (PA, 25.6%), and "Depressed Mood" (10.9%). At 10-year follow-up, individuals in "No Symptoms" subgroup had the highest probability (0.84) of being classified within the same subgroup. Participants classified as "Lack of PA" were likely (0.46) to remain in the same subgroup or be classified as "No Symptoms." Participants in the "Depressed Mood" were most likely to transition to the "Lack of PA" subgroup (0.38). Overall, 30.5% of participants transitioned between subgroups, with 11.4% classified as "Worsening" and 19.1% as "Improving." Relative to the "No Symptoms Stable," other subgroups ("Depressed Stable," "Worsening," and "Improving") were associated with prevalent obesity and hypertension. CONCLUSION: We identified distinct depressive symptom subgroups that are variably stable over time, and their change patterns were differentially associated with CVD risk factor prevalence.

Associations of the Neighborhood Built Environment with Gestational Weight Gain.

OBJECTIVE: This study aimed to determine whether specific factors of the built environment related to physical activity and diet are associated with inadequate and excessive gestational weight gain (GWG). STUDY DESIGN: This analysis is based on data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be, a prospective cohort of nulliparous women who were followed from the beginning of their pregnancies through delivery. At each study visit, home addresses were recorded and geocoded. Locations were linked to several built-environment characteristics such as the census tract National Walkability Score (the 2010 Walkability Index) and the number of gyms, parks, and grocery stores within a 3-km radius of residential address. The primary outcome of GWG (calculated as the difference between prepregnancy weight and weight at delivery) was categorized as inadequate, appropriate, or excessive based on weight gained per week of gestation. Multinomial regression (generalized logit) models evaluated the relationship between each factor in the built environment and excessive or inadequate GWG. RESULTS: Of the 8,182 women in the analytic sample, 5,819 (71.1%) had excessive GWG, 1,426 (17.4%) had appropriate GWG, and 937 (11.5%) had inadequate GWG. For the majority of variables examined, built environments more conducive to physical activity and healthful food availability were associated with a lower odds of excessive or inadequate GWG category. For example, a higher number of gyms or parks within 3 km of a participant's residential address was associated with lower odds of having excessive (gyms: adjusted odds ratio [aOR] = 0.93 [0.89-0.96], parks: 0.94 [0.90-0.98]) or inadequate GWG (gyms: 0.91 [0.86-0.96]; parks: 0.91 [0.86-0.97]). Similarly, a higher number of grocery stores was associated with lower odds of having excessive GWG (0.94 [0.91-0.97]). CONCLUSION: Among a diverse population of nulliparous women, multiple aspects of the built environment are associated with excessive and inadequate GWG. KEY POINTS: · There are little data on the association between the built environment and pregnancy outcomes.. · Multiple aspects of the built environment are associated with excessive and inadequate GWG.. · These results suggest the role that neighborhood investment may play in improving pregnancy outcomes..

Self-reported experiences of discrimination and incident dementia.

INTRODUCTION: Discrimination negatively impacts health and may contribute to racial/ethnic disparities in dementia risk. METHODS: Experiences of lifetime and everyday discrimination were assessed among 6509 Multi-Ethnic Study of Atherosclerosis (MESA) participants. We assessed the association of discrimination with incidence of dementia including adjustment for important risk factors, cohort attrition, and we assessed for effect modification by race/ethnicity. RESULTS: Prevalence of any lifetime discrimination in MESA was 42%, highest among Black adults (72%). Over a median 15.7 years of follow-up, there were 466 incident cases of dementia. Lifetime discrimination, but not everyday discrimination, was associated with incident dementia (Wald p = 0.03). Individuals reporting lifetime discrimination in ≥2 domains (compared to none) had greater risk for dementia (hazard ratio: 1.40; 95%: 1.08, 1.82) after adjustment for sociodemographic, clinical, and behavioral risk factors. Associations did not differ by race/ethnicity. CONCLUSIONS: These findings demonstrate an association of greater experiences of lifetime discrimination with incident dementia.

Eligibility and Prevalence of the American Heart Association Heart Check Certification Program in the US Packaged Food and Beverage Supply: A Cross-Sectional Study.

Objective: Consumers in the US make choices within a food supply dominated by processed packaged foods and beverage products. Front-of-package nutrition labels (FOPL) equip consumers to make healthier choices, but further evaluation and regulation regarding FOPL format, scope, and display have been recommended by the World Health Organization. As a leader in consumer FOPL guidance, the American Heart Association's (AHA) Heart Check programme certifies food companies seeking to add an AHA Heart Check logo as a FOPL for qualifying heart healthy products. A cross-sectional assessment of the AHA Heart Check Standard Certification was conducted within the US packaged food and beverage supply to assess the eligibility and prevalence of the programme as a FOPL. Methods: Data were derived from Label Insight's Open Data initiative, which is the largest publicly-available US branded food composition database. The proportions of products that were certified and eligible to be certified for the Standard Certification were reported by nutrient attributes, grocery aisles and food brands. Results: Among 153,453 products examined, fewer than 1% exhibited the Heart Check certification on their label. Among products that were not Heart Check certified,13.8% were eligible for Standard Certification. The most common reason for ineligibility was the saturated fat content (52%), followed by total fat content (47%) and sodium content (47%). Heart Check certification and eligibility differed substantially across grocery aisle categories. Conclusions: The abundance of unhealthy products in the US packaged food and beverage supply and absence of harmonized FOPL policies suggest the need for FOPL like the Heart Check label to promote adherence to healthy diets. There are opportunities for food manufacturers and the AHA to certify more heart healthy foods and beverages. However, more consistent criteria and transparent labelling could enhance Heart Check certification to facilitate consumers' ability to make more informed and healthful purchases.

School racial segregation and long-term cardiovascular health among Black adults in the US: A quasi-experimental study.

BACKGROUND: Cardiovascular disease (CVD) disproportionately affects Black adults in the United States. This is increasingly acknowledged to be due to inequitable distribution of health-promoting resources. One potential contributor is inequities in educational opportunities, although it is unclear what aspects of education are most salient. School racial segregation may affect cardiovascular health by increasing stress, constraining socioeconomic opportunities, and altering health behaviors. We investigated the association between school segregation and Black adults' CVD risk. METHODS AND FINDINGS: We leveraged a natural experiment created by quasi-random (i.e., arbitrary) timing of local court decisions since 1991 that released school districts from court-ordered desegregation. We used the Panel Study of Income Dynamics (PSID) (1991 to 2017), linked with district-level school segregation measures and desegregation court order status. The sample included 1,053 Black participants who ever resided in school districts that were under a court desegregation order in 1991. The exposure was mean school segregation during observed schooling years. Outcomes included several adult CVD risk factors and outcomes. We fitted standard ordinary least squares (OLS) multivariable linear regression models, then conducted instrumental variables (IV) analysis, using the proportion of schooling years spent in districts that had been released from court-ordered desegregation as an instrument. We adjusted for individual- and district-level preexposure confounders, birth year, and state fixed effects. In standard linear models, school segregation was associated with a lower probability of good self-rated health (-0.05 percentage points per SD of the segregation index; 95% CI: -0.08, -0.03; p < 0.001) and a higher probability of binge drinking (0.04 percentage points; 95% CI: 0.002, 0.07; p = 0.04) and heart disease (0.01 percentage points; 95% CI: 0.002, 0.15; p = 0.007). IV analyses also found that school segregation was associated with a lower probability of good self-rated health (-0.09 percentage points; 95% CI: -0.17, -0.02, p = 0.02) and a higher probability of binge drinking (0.17 percentage points; 95% CI: 0.04, 0.30, p = 0.008). For IV estimates, only binge drinking was robust to adjustments for multiple hypothesis testing. Limitations included self-reported outcomes and potential residual confounding and exposure misclassification. CONCLUSIONS: School segregation exposure in childhood may have longstanding impacts on Black adults' cardiovascular health. Future research should replicate these analyses in larger samples and explore potential mechanisms. Given the recent rise in school segregation, this study has implications for policies and programs to address racial inequities in CVD.

Inconsistent Reporting of Discrimination Over Time Using the Experiences of Discrimination Scale: Potential Underestimation of Lifetime Burden.

Studies documenting self-reported experiences of discrimination over the life course have been limited. Such information could be important for informing longitudinal epidemiologic studies of discrimination and health. We characterized trends in self-reports of racial, socioeconomic status, and gender discrimination over time measured using the Experiences of Discrimination Scale, with a focus on whether individuals' reports of lifetime discrimination were consistent over time. Overall experiences of discrimination and the number of settings in which discrimination was reported in 1992, 2000, and 2010 were examined among 2,774 African-American and White adults in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Reports of "ever" experiencing discrimination decreased for all forms of discrimination across the 3 study visits. Approximately one-third (30%-41%) of the sample inconsistently reported ever experiencing any discrimination over time, which contributed to the observed decreases. Depending on the form of discrimination, inconsistent reporting patterns over time were more common among African-American, younger, less educated, and lower-income individuals and women-groups who are often most exposed to and severely impacted by the health effects of discrimination. Our findings highlight the possible underestimation of the lifetime burden of discrimination when utilizing the Experiences of Discrimination Scale to capture self-reports of discrimination over time.

Racial Residential Segregation in Young Adulthood and Brain Integrity in Middle Age: Can We Learn From Small Samples?

Racial residential segregation is associated with multiple adverse health outcomes in Black individuals. Yet, the influence of structural racism and racial residential segregation on brain aging is less understood. In this study, we investigated the association between cumulative exposure to racial residential segregation over 25 years (1985-2010) in young adulthood, as measured by the Getis-Ord Gi* statistic, and year 25 measures of brain volume (cerebral, gray matter, white matter, and hippocampal volumes) in midlife. We studied 290 Black participants with available brain imaging data who were enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, a prospective cohort study. CARDIA investigators originally recruited 2,637 Black participants aged 18-30 years from 4 field centers across the United States. We conducted analyses using marginal structural models, incorporating inverse probability of treatment weighting and inverse probability of censoring weighting. We found that compared with low/medium segregation, greater cumulative exposure to a high level of racial residential segregation throughout young adulthood was associated with smaller brain volumes in general (e.g., for cerebral volume, ß = -0.08, 95% confidence interval: -0.15, -0.02) and with a more pronounced reduction in hippocampal volume, though results were not statistically significant. Our findings suggest that exposure to segregated neighborhoods may be associated with worse brain aging.

Associations of Chronic Burden, Sleep Characteristics, and Metabolic Syndrome in the Coronary Artery Risk Development in Young Adults Study.

OBJECTIVE: Chronic exposure to stress is associated with metabolic syndrome (MetS), but the mechanism is unclear. We investigated the associations between chronic burden, sleep, and MetS in the Coronary Artery Risk Development in Young Adults Study. METHODS: Chronic burden was self-reported (2000-2001) according to experiences with stressors for longer than 6 months. Wrist actigraphy-measured sleep duration and sleep efficiency were collected for 6 days; sleep duration, sleep quality, and daytime sleepiness were self-reported (2003-2004). MetS was measured during the clinic visit, from 2005 to 2006. Multivariable logistic and Cox proportional hazard models were fit to determine the associations of interest. Mediation by sleep was assessed using the product of coefficients approach. RESULTS: Among participants ( n = 606), the average (standard deviation) age was 40 (3.6) years, 58% were female, and 43% were Black. The prevalences of chronic burden, short sleep (≤6 hours), and MetS were 35%, 43% and 20.5%, respectively. High versus low chronic burden was associated with shorter self-reported sleep duration and higher daytime sleepiness. Chronic burden was associated with 1.85 higher odds (95% confidence interval = 1.11-3.09) of MetS. Sleep characteristics were not associated with MetS. There was no evidence that sleep mediated the chronic burden-MetS relation. CONCLUSION: Burden of chronic stress may be an emerging novel risk factor for both poor sleep and MetS.

Association Between Neighborhood-Level Poverty and Incident Atrial Fibrillation: a Retrospective Cohort Study.

BACKGROUND: Atrial fibrillation (AF) is a leading cause of cardiovascular morbidity and mortality. While neighborhood-level factors, such as poverty, have been related to prevalence of AF risk factors, the association between neighborhood poverty and incident AF has been limited. OBJECTIVE: Using a large cohort from a health system serving the greater Chicago area, we sought to determine the association between neighborhood-level poverty and incident AF. DESIGN: Retrospective cohort study. PARTICIPANTS: Adults, aged 30 to 80 years, without baseline cardiovascular disease from January 1, 2005, to December 31, 2018. MAIN MEASURES: We geocoded and matched residential addresses of all eligible patients to census-level poverty estimates from the American Community Survey. Neighborhood-level poverty (low, intermediate, and high) was defined as the proportion of residents in the census tract living below the federal poverty threshold. We used generalized linear mixed effects models with a logit link function to examine the association between neighborhood poverty and incident AF, adjusting for patient demographic and clinical AF risk factors. KEY RESULTS: Among 28,858 in the cohort, patients in the high poverty group were more often non-Hispanic Black or Hispanic and had higher rates of AF risk factors. Over 5 years of follow-up, 971 (3.4%) patients developed incident AF. Of these, 502 (51.7%) were in the low poverty, 327 (33.7%) in the intermediate poverty, and 142 (14.6%) in the high poverty group. The adjusted odds ratio (aOR) of AF was higher for the intermediate poverty compared with that for the low poverty group (aOR 1.23 [95% CI 1.01-1.48]). The point estimate for the aOR of AF incidence was similar, but not statistically significant, for the high poverty compared with the low poverty group (aOR 1.25 [95% CI 0.98-1.59]). CONCLUSION: In adults without baseline cardiovascular disease managed in a large, integrated health system, intermediate neighborhood poverty was significantly associated with incident AF. Understanding neighborhood-level drivers of AF disparities will help achieve equitable care.

Association between county-level risk groups and COVID-19 outcomes in the United States: a socioecological study.

BACKGROUND: Geographic heterogeneity in COVID-19 outcomes in the United States is well-documented and has been linked with factors at the county level, including sociodemographic and health factors. Whether an integrated measure of place-based risk can classify counties at high risk for COVID-19 outcomes is not known. METHODS: We conducted an ecological nationwide analysis of 2,701 US counties from 1/21/20 to 2/17/21. County-level characteristics across multiple domains, including demographic, socioeconomic, healthcare access, physical environment, and health factor prevalence were harmonized and linked from a variety of sources. We performed latent class analysis to identify distinct groups of counties based on multiple sociodemographic, health, and environmental domains and examined the association with COVID-19 cases and deaths per 100,000 population. RESULTS: Analysis of 25.9 million COVID-19 cases and 481,238 COVID-19 deaths revealed large between-county differences with widespread geographic dispersion, with the gap in cumulative cases and death rates between counties in the 90th and 10th percentile of 6,581 and 291 per 100,000, respectively. Counties from rural areas tended to cluster together compared with urban areas and were further stratified by social determinants of health factors that reflected high and low social vulnerability. Highest rates of cumulative COVID-19 cases (9,557 [2,520]) and deaths (210 [97]) per 100,000 occurred in the cluster comprised of rural disadvantaged counties. CONCLUSIONS: County-level COVID-19 cases and deaths had substantial disparities with heterogeneous geographic spread across the US. The approach to county-level risk characterization used in this study has the potential to provide novel insights into communicable disease patterns and disparities at the local level.

Psychosocial profiles and longitudinal achievement of optimal cardiovascular risk factor levels: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

Psychosocial factors are associated with the achievement of optimal cardiovascular disease risk factor (CVDRF) levels. To date, little research has examined multiple psychosocial factors simultaneously to identify distinguishing psychosocial profiles among individuals with CVDRF. Further, it is unknown whether profiles are associated with achievement of CVDRF levels longitudinally. Therefore, we characterized psychosocial profiles of individuals with CVDRF and assessed whether they are associated with achievement of optimal CVDRF levels over 15 years. We included 1148 CARDIA participants with prevalent hypertension, hypercholesterolemia and/or diabetes mellitus in 2000-2001. Eleven psychosocial variables reflecting psychological health, personality traits, and social factors were included. Optimal levels were deemed achieved if: Hemoglobin A1c (HbA1c) < 7.0%, low-density lipoprotein (LDL) cholesterol < 100 mg/dl, and systolic blood pressure (SBP) < 140 mm Hg. Latent profile analysis revealed three psychosocial profile groups "Healthy", "Distressed and Disadvantaged" and "Discriminated Against". There were no significant differences in achievement of CVDRF levels of the 3 targets combined across profiles. Participants in the "Distressed and Disadvantaged" profile were less likely to meet optimal HbA1c levels compared to individuals in the "Healthy" profile after demographic adjustment. Associations were attenuated after full covariate adjustment. Distinct psychosocial profiles exist among individuals with CVDRF, representing meaningful differences. Implications for CVDRF management are discussed.

Someone to talk to: the association of mentorship and cyberbullying with suicidality among US high school students.

OBJECTIVE: Suicide is the second-leading cause of death in youth. We tested whether having a mentoring relationship associated with lower risks for suicidality, particularly among youth at higher risk due to cyberbullying. METHODS: This study pooled the 2017 Youth Risk Behavior Survey (YRBS) data from five jurisdictions that asked students if there was at least one teacher or other adult in their school that they could talk with, if they have a problem (mentorship). Students self-reported cyberbullying exposure and suicidality in the past 12 months. Odds of suicidal ideation, planning, and attempts were estimated using multivariable weighted logistic regression in overall and sex-stratified stepwise models. Interactions between mentorship and cyberbullying were also tested. RESULTS: Of the 25,527 student respondents, 87% reported having a mentoring relationship. Mentoring relationships were associated with lower odds of suicidal ideation (aOR, 0.44; 95% CI 0.33-0.57), planning (aOR, 0.59; 95% CI 0.41-0.85), and suicide attempts (aOR, 0.42; 95% CI 0.31-0.56). Stratified analyses showed a significant interaction between cyberbullying and mentorship with suicidal attempts among males, and a near-significant association between cyberbullying and mentorship with suicidal thoughts among females. Compared to male students with no cyberbullying and no mentorship, odds of attempting suicide were lower for males with no cyberbullying and mentorship (aOR, 0.55, 95% CI 0.32-0.92), higher for males with cyberbullying and no mentorship (aOR, 7.78, 95% CI 3.47-17.47), but not significantly different for males with cyberbullying and mentoring relationships (aOR, 1.49, 95% CI 0.86-2.48). Similarly, compared with females with no cyberbullying and no mentorship, odds of having suicidal thoughts were lower for females with no cyberbullying and mentorship (aOR, 0.40, 95% CI 0.28-0.57), and higher for females with cyberbullying and no mentorship (aOR, 2.54, 95% CI 1.59-4.07). CONCLUSION: School-based mentoring may mitigate risk of suicidality among adolescents and limit the toxic effects of cyberbullying.

Novel Interactive Tool for Breast and Ovarian Cancer Risk Assessment (Bright Pink Assess Your Risk): Development and Usability Study.

BACKGROUND: The lifetime risk of breast and ovarian cancer is significantly higher among women with genetic susceptibility or a strong family history. However, current risk assessment tools and clinical practices may identify only 10% of asymptomatic carriers of susceptibility genes. Bright Pink developed the Assess Your Risk (AYR) tool to estimate breast and ovarian cancer risk through a user-friendly, informative web-based quiz for risk assessment at the population level. OBJECTIVE: This study aims to present the AYR tool, describe AYR users, and present evidence that AYR works as expected by comparing classification using the AYR tool with gold standard genetic testing guidelines. METHODS: The AYR is a recently developed population-level risk assessment tool that includes 26 questions based on the National Comprehensive Cancer Network (NCCN) guidelines and factors from other commonly used risk assessment tools. We included all women who completed the AYR between November 2018 and January 2019, with the exception of self-reported cancer or no knowledge of family history. We compared AYR classifications with those that were independently created using NCCN criteria using measures of validity and the McNemar test. RESULTS: There were 143,657 AYR completions, and most participants were either at increased or average risk for breast cancer or ovarian cancer (137,315/143,657, 95.59%). Using our estimates of increased and average risk as the gold standard, based on the NCCN guidelines, we estimated the sensitivity and specificity for the AYR algorithm-generated risk categories as 100% and 89.9%, respectively (P<.001). The specificity improved when we considered the additional questions asked by the AYR to define increased risk, which were not examined by the NCCN criteria. By race, ethnicity, and age group; we found that the lowest observed specificity was for the Asian race (85.9%) and the 30 to 39 years age group (87.6%) for the AYR-generated categories compared with the NCCN criteria. CONCLUSIONS: These results demonstrate that Bright Pink's AYR is an accurate tool for use by the general population to identify women at increased risk of breast and ovarian cancer. We plan to validate the tool longitudinally in future studies, including the impact of race, ethnicity, and age on breast and ovarian cancer risk assessment.

Neighborhood Poverty and Incident Heart Failure: an Analysis of Electronic Health Records from 2005 to 2018.

BACKGROUND: Neighborhood-level characteristics, such as poverty, have been associated with risk factors for heart failure (HF), including hypertension and diabetes mellitus. However, the independent association between neighborhood poverty and incident HF remains understudied. OBJECTIVE: To evaluate the association between neighborhood poverty and incident HF using a "real-world" clinical cohort. DESIGN: Retrospective cohort study of electronic health records from a large healthcare network. Individuals' residential addresses were geocoded at the census-tract level and categorized by poverty tertiles based on American Community Survey data (2007-2011). PARTICIPANTS: Patients from Northwestern Medicine who were 30-80 years, free of cardiovascular disease at index visit (January 1, 2005-December 1, 2013), and followed for at least 5 years. MAIN MEASURES: The association of neighborhood-level poverty tertile (low, intermediate, and high) and incident HF was analyzed using generalized linear mixed effect models adjusting for demographics (age, sex, race/ethnicity) and HF risk factors (body mass index, diabetes mellitus, hypertension, smoking status). KEY RESULTS: Of 28,858 patients included, 75% were non-Hispanic (NH) White, 43% were men, 15% lived in a high-poverty neighborhood, and 522 (1.8%) were diagnosed with incident HF. High-poverty neighborhoods were associated with a 1.80 (1.35, 2.39) times higher risk of incident HF compared with low-poverty neighborhoods after adjustment for demographics and HF risk factors. CONCLUSIONS: In a large healthcare network, incident HF was associated with neighborhood poverty independent of demographic and clinical risk factors. Neighborhood-level interventions may be needed to complement individual-level strategies to prevent and curb the growing burden of HF.