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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). 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. 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]). Among a diverse population of nulliparous women, multiple aspects of the built environment are associated with excessive and inadequate GWG.· 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..

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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06785-7.

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) 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.

Objective Food insecurity is associated with consumption of phosphate additive-laden processed food and beverage products, which could result in higher levels of fibroblast growth factor 23 (FGF23) to compensate for the increased dietary phosphate load. We sought to determine whether food insecurity is associated with higher levels of FGF23. We stratified analyses by race since differences may occur between food insecurity and diet quality across races. Design and Methods The longitudinal community-based Coronary Artery Risk Development in Young Adults Study recruited from 4 US centers: Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA, during the cohort inception in 1985/1986. This analysis included 3,421 black and white participants from Coronary Artery Risk Development in Young Adults follow-up years 20, 25, and 30 who were enrolled in the study between the ages of 18 and 30 years. Econometric fixed effects models stratified by race that adjust by design for all time-invariant covariates were used to model the longitudinal association of food insecurity, defined as the self-reported ability to afford desired quantity and quality of food. The main outcome of interest was changing to the highest quartile of plasma FGF-23 concentrations. Results During follow-up, 29% of blacks and 14% of whites experienced change in food security. Developing food insecurity was associated with a 1.48 greater odds of increasing to the highest quartile of FGF23 (95% confidence interval 1.02-2.15) among blacks; however, there was no significant longitudinal association among whites (odds ratio = 1.14, 95% confidence interval 0.67-1.95). Conclusions Among blacks, food insecurity was associated with an increase in levels of FGF23. Although phosphate consumption was presumed to mediate the association between food insecurity and FGF23 levels, we were unable to directly test this pathway.

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 3,548 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.

Background: Income volatility is on the rise and presents a growing public health problem. Because in many epidemiological studies income is measured at a single point in time, the association of long-term income volatility with incident cardiovascular disease (CVD) and mortality has not been adequately explored. The goal of this study was to examine associations of income volatility from 1990 to 2005 with incident CVD and all-cause mortality in the subsequent 10 years. Methods: The Coronary Artery Risk Development in Young Adults Study is an ongoing prospective cohort study conducted within urban field centers in Birmingham, AL; Chicago, IL; Minneapolis, MN; and Oakland, CA. We studied 3937 black and white participants 23 to 35 years of age in 1990 (our study baseline). Income volatility was defined as the intraindividual SD of the percent change in income across 5 assessments from 1990 to 2005. An income drop was defined as a decrease of ≥25% from the previous visit and less than the participant’s average income from 1990 to 2005. CVD events (fatal and nonfatal) and all-cause mortality between 2005 and 2015 were adjudicated with the use of medical records and death certificates. CVD included primarily acute events related to heart disease and stroke. Results: A total of 106 CVD events and 164 deaths occurred between 2005 and 2015 (incident rate, 2.76 and 3.66 per 1000 person-years, respectively). From Cox models adjusted for sociodemographic, behavioral, and CVD risk factors, higher income volatility and more income drops were associated with greater CVD risk (high versus low volatility: hazard ratio, 2.07; 95% CI, 1.10–3.90; ≥2 versus 0 income drops: hazard ratio, 2.54; 95% CI, 1.24–5.19) and all-cause mortality (high versus low volatility: hazard ratio, 1.78; 95% CI,1.03–3.09; ≥2 versus 0 income drops: hazard ratio, 1.92; 95% CI, 1.07–3.44). Conclusions: In a cohort of relatively young adults, income volatility and drops during a 15-year period of formative earning years were independently associated with a nearly 2-fold risk of CVD and all-cause mortality.

The complex, multilevel causes of the ongoing obesity epidemic necessitate multilevel approaches to address the problem. Accordingly, interest in multilevel obesity interventions has expanded rapidly in recent years. We conducted an updated literature review of multilevel interventions for obesity prevention and reduction. We identified six protocols and six articles on completed studies that were published between January 2016 and September 2018. Of the completed studies, four found significant intervention effects on body mass index and/or waist circumference. Two showed significant improvements in diet and two showed significant improvements in physical activity. These studies highlight the promise multilevel interventions offer for addressing obesity at the population level.

Background Assessment of the social determinants of post‐hospital cardiac care is needed. We examined the association and predictive ability of neighborhood‐level determinants (area deprivation index, ADI), readmission risk, and mortality for heart failure, myocardial ischemia, and atrial fibrillation. Methods and Results Using a retrospective (January 1, 2011–December 31, 2018) analysis of a large healthcare system, we assess the predictive ability of ADI on 30‐day and 1‐year readmission and mortality following hospitalization. Cox proportional hazards models analyzed time‐to‐event. Log rank analyses determined survival. C‐statistic and net reclassification index determined the model’s discriminative power. Covariates included age, sex, race, comorbidity, number of medications, length of stay, and insurance. The cohort (n=27 694) had a median follow‐up of 46.5 months. There were 14 469 (52.2%) men and 25 219 White (91.1%) patients. Patients in the highest ADI quintile (versus lowest) were more likely to be admitted within 1 year of index heart failure admission (hazard ratio [HR], 1.25; 95% CI, 1.03‒1.51). Patients with myocardial ischemia in the highest ADI quintile were twice as likely to be readmitted at 1 year (HR, 2.04; 95% CI, 1.44‒2.91]). Patients with atrial fibrillation living in areas with highest ADI were less likely to be admitted within 1 year (HR, 0.79; 95% CI, 0.65‒0.95). As ADI increased, risk of readmission increased, and risk reclassification was improved with ADI in the models. Patients in the highest ADI quintile were 25% more likely to die within a year (HR, 1.25 1.08‒1.44). Conclusions Residence in socioeconomically disadvantaged communities predicts rehospitalization and mortality. Measuring neighborhood deprivation can identify individuals at risk following cardiac hospitalization.

Background Black Americans have a higher risk of hypertension compared with White Americans. Perceived discrimination is a plausible explanation for these health disparities. Few studies have examined the impact of perceived discrimination on the incidence of hypertension among a racially diverse sample. Our study examined associations of everyday and lifetime discrimination with incidence of hypertension and whether these associations varied by sex, discrimination attribution, and racial residential segregation. Methods and Results The study included 3297 Black, Hispanic, Chinese, and White participants aged 45 to 84 years from the Multi‐Ethnic Study of Atherosclerosis who were without hypertension at exam 1 (2000–2002) and who completed at least 1 of 5 follow‐up exams (2002–2018). Cox proportional hazards regression was used to estimate associations of perceived discrimination with incident hypertension. Over the follow‐up period, 49% (n=1625) of participants developed hypertension. After adjustment for age, sex, socioeconomic status, hypertension risk factors, and study site, Black participants reporting any lifetime discrimination (compared with none) were more likely to develop hypertension (hazard ratio [HR], 1.35; 95% CI, 1.07–1.69). In fully adjusted models, everyday discrimination (high versus low) was associated with a lower risk for hypertension among Hispanic participants (HR, 0.73; 95% CI, 0.55–0.98). Statistically significant interactions of perceived discrimination (everyday and lifetime) with sex, discrimination attribution, and racial residential segregation were not observed. Conclusions This study suggests that lifetime, but not everyday discrimination is associated with incident hypertension in Black Americans.

BackgroundLife expectancy in the United States has recently declined, in part attributable to premature cardiometabolic mortality. We characterized national trends in premature cardiometabolic mortality, overall, and by race‐sex groups.Methods and ResultsUsing death certificates from the Centers for Disease Control and Prevention's Wide‐Ranging Online Data for Epidemiologic Research, we quantified premature deaths (ConclusionsOver one‐fifth of cardiometabolic deaths occurred at

Background: Several features of the neighborhood built environment have been shown to promote leisure-time physical activity (PA) in the general population, but few studies have examined its impact on PA during pregnancy. Methods: Data were extracted from 8362 Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be cohort participants (2010–2013). Residential address information was linked to 3 built environment characteristics: number of gyms and recreation areas within a 3-km radius of residence and census block level walkability. Self-reported leisure-time PA was measured in each trimester and dichotomized as meeting PA guidelines or not. Relative risks for cross-sectional associations between neighborhood characteristics and meeting PA guidelines were estimated using Poisson regression. Results: More gyms and recreation areas were each associated with a greater chance of meeting PA guidelines in models adjusted for sociodemographic characteristics and preexisting conditions. Associations were strongest in the third trimester where each doubling in counts of gyms and recreation areas was associated with 10% (95% confidence interval, 1.07–1.13) and 8% (95% confidence interval, 1.03–1.12), respectively, greater likelihood of meeting PA guidelines. Associations were similar though weaker for walkability. Conclusions: Results from a large, multisite cohort suggest that these built environment characteristics have similar PA-promoting benefits in pregnant women as seen in more general populations.

Cardiovascular disease disparities are shaped by differences in risk factors across racial and ethnic groups. Housing remains an important social determinant of health. The objective of this statement is to review and summarize research that has examined the associations of housing status with cardiovascular health and overall health. PubMed/Medline, Centers for Disease Control and Prevention data, US Census data, Cochrane Library reviews, and the annual Heart Disease and Stroke Statistics report from the American Heart Association were used to identify empirical research studies that examined associations of housing with cardiovascular health and overall well-being. Health is affected by 4 prominent dimensions of housing: stability, quality and safety, affordability and accessibility, and neighborhood environment. Vulnerable and underserved populations are adversely affected by housing insecurity and homelessness, are at risk for lower-quality and unsafe housing conditions, confront structural barriers that limit access to affordable housing, and are at risk for living in areas with substandard built environment features that are linked to cardiovascular disease. Research linking select pathways to cardiovascular health is relatively strong, but research gaps in other housing pathways and cardiovascular health remain. Efforts to eliminate cardiovascular disease disparities have recently emphasized the importance of social determinants of health. Housing is a prominent social determinant of cardiovascular health and well-being and should be considered in the evaluation of prevention efforts to reduce and eliminate racial/ethnic and socioeconomic disparities.

Hypertensive individuals represent a “vulnerable” population regarding psychological health. While African Americans are disproportionally burdened with hypertension, pathways predicting their psychological health remain understudied. We examine if discrimination is associated with psychological health, through an indirect effect of perceived control within a sample of African American individuals with prevalent hypertension ( n = 990). Discrimination was significantly associated with an increase psychological distress and a decrease in psychological well-being through a reduction in perceived control, supporting Minority Stress Theory. Cardiovascular disease risk factor management implications are discussed.

Background: Substantial disparities in risk of heart failure (HF) exist by race, which may be driven by certain social or environmental factors. The relationship between the neighborhood built environment, including food and physical activity facilities, and risk of HF is unclear. The associations of the built environment and subclinical cardiac dysfunction may offer insight into mechanisms that lead to increased HF risk. Methods: In the CARDIA study, we evaluated the associations between measures of the neighborhood built environment and echocardiographic indices of cardiac function at the Year 25 exam (Y25). Built measures were assessed within a 3-km Euclidean distance from participant residence and included: 1) proportion of fast food restaurants or convenience stores relative to total food outlets and 2) number of public or commercial physical activity facilities. Results: Among 2,363 participants (44% male, 51% black) with available data from Y25, higher proportions of fast food restaurants and convenience stores were independently associated with lower left ventricular (LV) diastolic function (lower e’ tissue velocities and higher E/e’) ( Table ). Lower number of public and commercial physical activity facilities were independently associated with lower LV systolic function (LV longitudinal strain) and diastolic function. Conclusions: Food environments with higher proportions of fast food and convenience stores are associated with lower diastolic function, and environments with less physical activity facilities are associated with worse systolic and diastolic function. These findings suggest relationships between the built environment and subclinical HF.

We investigated changes in supermarket access in Chicago between 2007 and 2014, spanning The Great Recession, which we hypothesized worsened local food inequity. We mapped the average street network distance to the nearest supermarket across census tracts in 2007, 2011, and 2014, and identified spatial clusters of persistently low, high or changing access over time. Although the total number of supermarkets increased city-wide, extremely low food access areas in segregated, low income regions did not benefit. Among black and socioeconomically disadvantaged residents of Chicago, access to healthy food is persistently poor and worsened in some areas following recent economic shocks.

INTRODUCTION: There are known racial differences in cardiovascular health behaviors, including smoking, physical activity, and diet quality. A better understanding of these differences may help identify intervention targets for reducing cardiovascular disease disparities. This study examined whether socioeconomic, psychosocial, and neighborhood environmental factors, in isolation or together, mediate racial differences in health behaviors. METHODS: Participants were 3,081 men and women from the Coronary Artery Risk Development in Young Adults study who were enrolled in 1985–1986 (Year 0) and completed a follow-up examination in 2015–2016 (Year 30). A health behavior score was created at Years 0, 7, 20, and 30 using smoking, physical activity, and diet assessed that year. The race difference in health behavior score was estimated using linear regression in serial cross-sectional analyses. Mediation analyses computed the proportion of the race and health behavior score association attributable to socioeconomic, psychosocial, and neighborhood factors. RESULTS: Data analysis conducted in 2016–2017 found that blacks had significantly lower health behavior scores than whites across 30 years of follow-up. Individual socioeconomic factors mediated 48.9%–70.1% of the association between race and health behavior score, psychosocial factors 20.3%–30.0%, and neighborhood factors 22.1%–41.4% (p

BACKGROUND High neighborhood crime and low perceptions of safety may influence blood pressure (BP) through chronic stress. Few studies have examined these associations using longitudinal data. METHODS We used longitudinal data from 528 participants of the Multi-Ethnic Study of Atherosclerosis (aged 45–84, nonhypertensive at baseline) who lived in Chicago, Illinois. We examined associations of changes in individual-level perceived safety, aggregated neighborhood-level perceived safety, and past-year rates of police-recorded crime in a 1, ½, or ¼ mile buffer per 1,000 population with changes in systolic and diastolic BPs using fixed-effects linear regression. BP was measured five times between 2000 and 2012 and was adjusted for antihypertensive medication use (+10 mm Hg added to systolic and +5 mm Hg added to diastolic BP for participants on medication). Models were adjusted for time-varying sociodemographic and health-related characteristics and neighborhood socioeconomic status. We assessed differences by sex. RESULTS A standard deviation increase in individual-level perceived safety was associated with a 1.54 mm Hg reduction in systolic BP overall (95% confidence interval [CI]: 0.25, 2.83), and with a 1.24 mm Hg reduction in diastolic BP among women only (95% CI: 0.37, 2.12) in adjusted models. Increased neighborhood-level safety was not associated with BP change. An increase in police-recorded crime was associated with a reduction in systolic and diastolic BPs among women only, but results were sensitive to neighborhood buffer size. CONCLUSIONS Results suggest individual perception of neighborhood safety may be particularly salient for systolic BP reduction relative to more objective neighborhood exposures.

We sought to determine whether sustained poverty is associated with change in body mass index (BMI, calculated as weight (kg)/height (m)2) among 4,762 black and white adults from the Coronary Artery Risk Development in Young Adults study. Household income in the prior year and current BMI were measured at 7 visits between 1990 and 2015. Sustained poverty was the proportion of visits during which household income was below 200% of the federal poverty level (range, 0%-100%). Sustained poverty and BMI were time-updated. Mean age in 1990 was 30 years. In adjusted linear mixed-effects models, every 10% increase in sustained poverty was significantly associated with faster BMI growth among white men (0.004/year, 95% CI: 0.001, 0.008) and white women (0.003/year, 95% CI: 0.000, 0.006), and slower BMI growth among black men (-0.008/year, 95% CI: -0.010, -0.005) and black women (-0.003/year, 95% CI: -0.006, 0.000). In other words, being always versus never in poverty from 1990 to 2015 was predicted to result in greater BMI gain by 1.00 unit and 0.75 units among white men and women and less BMI gain by 2.0 units and 0.75 units among black men and women, respectively. Sustained poverty was a predictor of changes in BMI with differential associations according to race.

Risk factors can drive socioeconomic inequalities in cardiovascular disease (CVD) through differential exposure and differential vulnerability. In this paper, we show how econometric decomposition directly enables simultaneous, policy-oriented assessment of these 2 mechanisms. We specifically estimate contributions of neighborhood environment and proximal risk factors to socioeconomic inequality in CVD incidence via these mechanisms. We followed 5,608 participants in the Multi-Ethnic Study of Atherosclerosis (2000-2012) to their first CVD event (median length of follow-up, 12.2 years). We used a summary measure of baseline socioeconomic position (SEP). Covariates included baseline demographics, neighborhood characteristics, and psychosocial, behavioral, and biomedical risk factors. Using Poisson models, we decomposed the difference (inequality) in incidence rates between low- and high-SEP groups into contributions of 1) differences in covariate means (differential exposure) and 2) differences in CVD risk associated with covariates (differential vulnerability). Notwithstanding large uncertainty in neighborhood estimates, our analysis suggested that differential exposure to poorer neighborhood socioeconomic conditions, adverse social environment, diabetes, and hypertension accounted for most of the inequality. Psychosocial and behavioral contributions were negligible. Further, neighborhood SEP, female sex, and white race were more strongly associated with CVD among low-SEP (vs. high-SEP) participants. These differentials in vulnerability also accounted for nontrivial portions of the inequality and could have important implications for intervention.

Adverse pregnancy outcomes increase infants’ risk for mortality and future health problems. Neighborhood physical disorder may contribute to adverse pregnancy outcomes by increasing maternal chronic stress. Google Street View technology presents a novel method for assessing neighborhood physical disorder but has not been previously examined in the context of birth outcomes. In this cross-sectional study, trained raters used Google’s Street View imagery to virtually audit a randomly sampled block within each Chicago census tract (n = 809) for nine indicators of physical disorder. We used an item-response theory model and spatial interpolation to calculate tract-level neighborhood physical disorder scores across Chicago. We linked these data with geocoded electronic health record data from a large, academic women’s hospital in Chicago (2015–2017, n = 14,309 births). We used three-level hierarchical Poisson regression to estimate prevalence ratios for the associations of neighborhood physical disorder with preterm birth (overall and spontaneous), small for gestational age (SGA), and hypertensive disorder of pregnancy (HDP). After adjustment for maternal sociodemographics, multiparity, and season of birth, living in a neighborhood with high physical disorder was associated with higher prevalence of PTB, SGA, and HDP (prevalence ratios and 95% confidence intervals 1.21 (1.06, 1.39) for PTB, 1.13 (1.01, 1.37) for SGA, and 1.23 (1.07, 1.42) for HDP). Adjustment for neighborhood poverty and maternal health conditions (e.g., hypertension, diabetes, asthma, substance use) attenuated associations. Results suggest that an adverse neighborhood physical environment may contribute to adverse pregnancy outcomes. However, future work is needed to disentangle the unique contribution of physical disorder from other characteristics of disadvantaged neighborhoods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11524-019-00401-0) contains supplementary material, which is available to authorized users.

Although workplace discrimination and mistreatment (WDM) has recently drawn widespread media attention, our understanding of the prevalence of these phenomena remains limited. In the current study, we generated national prevalence estimates of WDM from a community-based cohort of employed black and white men and women aged ≥48 years. Measures of WDM in the current job were obtained by computer-assisted telephone interview (2011–2013) involving dichotomous responses (yes or no) to five questions and deriving a composite measure of discrimination (yes to at least one). Prevalence estimates and age- and region-adjusted prevalence ratios were derived with use of SUDAAN software to account for the complex sample design. Analyses were stratified by race and sex subgroups. This sample represents over 40 million U.S. workers aged ≥48 years. The prevalence of workplace discrimination ranged from a high of 25% for black women to a low of 11% for white men. Blacks reported a 60% higher rate of discrimination compared to whites; women reported a 53% higher prevalence of discrimination, compared with men. The prevalence of workplace mistreatment ranged from 13% for black women to 8% for white men. Women reported a 52% higher prevalence of mistreatment compared to men, while differences by race were not significant. Mistreatment was 4–8 times more prevalent among those reporting discrimination than among those reporting none. Subgroup differences in mistreatment were confined to the wage-employed. Findings suggest that middle age and older wage-employed blacks and women experience the highest prevalence of WDM; moreover, discrimination is strongly associated with mistreatment. This study contributes to our understanding of at-risk segments of the U.S. labor market and the need for targeted interventions to reduce WDM., Highlights • US workplace discrimination and mistreatment for those aged ≥48 years is reported. • Workplace discrimination and mistreatment varied significantly by race and sex. • Workplace discrimination and mistreatment is most prevalent among black women. • Mistreatment is 4–8 times more prevalent among workers reporting discrimination. • Among self-employed and those aged ≥65, mistreatment did not vary by race or sex.

Importance Patterns of hypertension risk development over the adult lifespan and lifetime risks for hypertension under the American Heart Association and American College of Cardiology (AHA/ACC) 2017 thresholds for hypertension (≥130/80 mm Hg) are unknown. Objective To quantify and compare lifetime risks for hypertension in white and African American men and women under the AHA/ACC 2017 and the Seventh Joint National Commission (JNC7) hypertension thresholds. Design, setting, and participants We used individual-level pooled data from 3 contemporary cohorts in the Cardiovascular Lifetime Risk Pooling Project: the Framingham Offspring Study, the Coronary Artery Risk Development in Young Adults study, and Atherosclerosis Risk in Communities study. These community-based cohorts included white and African American men and women with blood pressure assessment at multiple cohort examinations. Main outcomes and measures Cumulative lifetime risk for hypertension from ages 20 through 85 years, adjusted for competing risk of death and baseline hypertension prevalence. Incident hypertension under the AHA/ACC threshold was defined by a single-occasion blood pressure measurement of 130/80 mm Hg or more or self-reported use of antihypertensive medications. Incident hypertension under the JNC7 threshold was defined by a single-occasion blood pressure measurement of 140/90 mm Hg or more or the use of antihypertensive medications. Results A total of 13 160 participants contributed 227 600 person-years of follow-up; the data set included individual-level data on 6313 participants at baseline (median age, 25 years), plus person-year data from participants in the Atherosclerosis Risk in Communities and Framingham Offspring studies who enrolled at older ages. Baseline prevalence of hypertension under the AHA/ACC 2017 threshold in participants entering the data set between 20 and 30 years of age was 30.7% in white men (n = 549 of 1790), 23.1% in African American men (n = 245 of 1063), 10.2% in white women (n = 210 of 2070), and 12.3% in African American women (n = 171 of 1390). White men had lifetime risk of hypertension of 83.8% (95% CI, 82.5%-85.0%); African American men, 86.1% (95% CI, 84.1%-88.1%); white women, 69.3% (95% CI, 67.8%-70.7%); and African American women, 85.7% (95% CI, 84.0%-87.5%). These were greater than corresponding lifetime risks under the JNC7 threshold for hypertension (white men, 60.5% [95% CI, 58.9%-62.1%]; African American men, 74.7% [95% CI, 71.9%-77.5%]; white women, 53.9% [95% CI, 52.5%-55.4%]; and African American women, 77.3% [95% CI, 75.0%-79.5%]). Conclusions and relevance Under the AHA/ACC 2017 blood pressure threshold for hypertension, lifetime risks for hypertension exceeded 75% for African American men and women and white men. Furthermore, prevalence of blood pressure of 130/80 mm Hg or more is very high in young adulthood, suggesting that efforts to prevent development of hypertension should be focused early in the life course.

Background While prior studies have linked the neighborhood environment and development of subclinical atherosclerosis, it is unknown whether living in neighborhoods with greater availability of “unhealthy” food outlets (fast‐food chain restaurants and convenience stores) is associated with risk of developing coronary artery calcification ( CAC ). Methods and Results We included 2706 CARDIA study (Coronary Artery Risk Development in Young Adults) participants who underwent CAC measurement during follow‐up years 15 (2000–2001), 20 (2005–2006), and 25 (2010–2011). Neighborhood features examined included percentage of all food outlets that were convenience stores and fast‐food chain restaurants within a 3‐km Euclidean buffer distance from each participant's residence. Econometric fixed effects models, which by design control for all time‐invariant covariates, were used to model the longitudinal association between simultaneous within‐person change in percentage food outlet and change in CAC . At baseline (year 15), 9.7% of participants had prevalent CAC . During 10 years of follow‐up, 21.1% of participants developed CAC . Each 1‐SD increase in percentage of convenience stores was associated with a 1.34 higher odds of developing CAC (95% CI : 1.04, 1.72) after adjusting for individual‐ and neighborhood‐level covariates; however, there was no significant association between increased percentage of fast‐food chain restaurants and developing CAC (odds ratio=1.15; 95% CI : 0.96, 1.38). There were no significant associations between increases in either food outlet percentage and progression of CAC . Conclusions Our findings suggest that increases in the relative availability of convenience stores in participants' neighborhoods is related to the development of CAC over time.

Epidemiological studies have highlighted the disparate impact of coronavirus disease 2019 (COVID-19) on racial and ethnic minority and socioeconomically disadvantaged populations, but data at the neighborhood-level is sparse. The objective of this study was to investigate the disparate impact of COVID-19 on disadvantaged neighborhoods and racial/ethnic minorities in Chicago, Illinois. Using data from the Cook County Medical Examiner, we conducted a neighborhood-level analysis of COVID-19 decedents in Chicago and quantified age-standardized years of potential life lost (YPLL) due to COVID-19 among demographic subgroups and neighborhoods with geospatial clustering of high and low rates of COVID-19 mortality. We show that age-standardized YPLL was markedly higher among the non-Hispanic (NH) Black (559 years per 100,000 population) and the Hispanic (811) compared with NH white decedents (312). We demonstrate that geomapping using residential address data at the individual-level identifies hot-spots of COVID-19 mortality in neighborhoods on the Northeast, West, and South areas of Chicago that reflect a legacy of residential segregation and persistence of inequality in education, income, and access to healthcare. Our results may contribute to ongoing public health and community-engaged efforts to prevent the spread of infection and mitigate the disproportionate loss of life among these communities due to COVID-19 as well as highlight the urgent need to broadly target neighborhood disadvantage as a cause of pervasive racial inequalities in life and health.

Importance Despite recent advances in therapies for heart failure (HF), deaths from HF are increasing, with persistent disparities between Black and White adults. Recent national trends in the prevalence of HF need to be clarified to appropriately allocate resources and develop effective preventive interventions. Objectives To examine the prevalence of ambulatory HF overall and by race/ethnicity and age and the temporal changes in HF prevalence between 2001 and 2016. Design, Setting, and Participants This cross-sectional study of nationally representative data collected biennially through the National Health and Nutrition Examination Survey (NHANES) from January 1, 2001, to December 31, 2016, assessed nonpregnant adults 35 years and older who self-identified as non-Hispanic Black, non-Hispanic White, or Mexican American. Data analysis was performed from November 16, 2019, to April 12, 2020. Exposures Survey period, race/ethnicity, and age group. Main Outcomes and Measures Age-standardized prevalence was calculated within 4-year survey periods (2001-2004, 2005-2008, 2009-2012, and 2013-2016) based on self-report of ambulatory HF overall and by race/ethnicity and age group (35-64 and ≥65 years). Weighted multivariable logistic regression was used to examine trends in ambulatory HF prevalence over time by race/ethnicity and age group. Results A total of 26 097 participants (mean [SD] age, 55.9 [10.7] years; 13 192 [52%] female; 6519 [12%] non-Hispanic Black; and 4906 [7%] Mexican American) were studied. Overall age-standardized prevalence (per 100 000 population) of ambulatory HF was 3184 (95% CI, 2641-3728) from 2001 to 2005 and 3045 (95% CI, 2651-3438) from 2013 to 2016. The prevalence of ambulatory HF was highest among non-Hispanic Black adults: from 2013 to 2016, HF prevalence (per 100 000 population) was 5017 (95% CI, 3755-6279) among non-Hispanic Black adults, 2746 (95% CI, 2313-3179) among non-Hispanic White adults, and 2508 (95% CI, 1154-3862) among Mexican American adults. Differences between White and Black adults in HF prevalence were also present in younger and middle-aged adults (eg, 35-64 years of age in 2013-2016: 3864 [95% CI, 2369-5359] for non-Hispanic Black adults vs 1297 [95% CI, 878-1716] for non-Hispanic White adults). Conclusions and Relevance This study found that a high burden of ambulatory HF persisted between 2001 and 2016 in the US. Disparities were most prominent by age group. Alongside prevention and aggressive management of risk factors, targeted efforts aimed at mitigating racial disparities are needed.

IMPORTANCE: Neighborhood-level residential segregation is implicated as a determinant for poor health outcomes in black individuals, but it is unclear whether this association extends to cognitive aging, especially in midlife. OBJECTIVE: To examine the association between cumulative exposure to residential segregation during 25 years of young adulthood among black individuals and cognitive performance in midlife. DESIGN, SETTING, AND PARTICIPANTS: The ongoing prospective cohort Coronary Artery Risk Development in Young Adults (CARDIA) Study recruited 5115 black and white participants aged 18 to 30 years from 4 field centers at the University of Alabama, Birmingham; University of Minnesota, Minneapolis; Northwestern University, Chicago, Illinois; and Kaiser Permanente, Oakland, California. Data were acquired from February 1985 to May 2011. Among the surviving CARDIA cohort, 3671 (71.8%) attended examination year 25 of the study in 2010, when cognition was measured, and 3008 (81.9%) of those completed the cognitive assessments. To account for time-varying confounding and differential censoring, marginal structural models using inverse probability weighting were applied. Data were analyzed from April 16 to July 20, 2019. MAIN OUTCOMES AND MEASURES: Racial residential segregation was measured using the Getis-Ord G(i)* statistic, and the mean cumulative exposure to segregation was calculated across 6 follow-up visits from baseline to year 25 of the study, then categorized into high, medium, and low segregation. Cognitive function was measured at year 25 of the study, using the Digit Symbol Substitution Test (DSST), Stroop color test (reverse coded), and Rey Auditory Verbal Learning Test. To facilitate comparison of estimates, z scores were calculated for all cognitive tests. RESULTS: A total of 1568 black participants with available cognition data were included in the analysis. At baseline, participants had a mean (SD) age of 25 (4) years and consisted of 936 women (59.7%). Greater cumulative exposure to segregated neighborhoods was associated with a worse DSST z score (for high segregation, β = −0.37 [95% CI, −0.61 to −0.13]; for medium segregation, β = −0.25 [95% CI, −0.51 to 0.0002]) relative to exposure to low segregation. CONCLUSIONS AND RELEVANCE: In this cohort study, exposure to residential segregation throughout young adulthood was associated with worse processing speed among black participants as early as in midlife. This association may potentially explain black-white disparities in dementia risk at older age.

Although racial residential segregation and interpersonal racial discrimination are associated with cardiovascular disease, few studies have examined their link with diabetes risk or management. We used longitudinal data from 2,175 black participants in the Coronary Artery Risk Development in Young Adults (CARDIA) Study to examine associations of racial residential segregation (G(i)* statistic) and experiences of racial discrimination with diabetes incidence and management. Multivariable Cox models estimated associations for incident diabetes and GEE logistic regression estimated associations with diabetes management (meeting targets for HbA1c, systolic blood pressure, and LDL cholesterol). Neither segregation nor discrimination were associated with diabetes incidence or management.

Large and persistent obesity disparities exist in the US by socioeconomic status (SES) and race/ethnicity, and weight loss interventions have traditionally been less effective in these populations. Thus, a better understanding is needed of the behavioral, economic, and geographic factors that influence obesity risk factors such as eating behaviors. We used a discrete choice experiment to evaluate the impact of different meal attributes on meal choice and to test whether the relative importance of these attributes varied by SES and race/ethnicity. Study participants (n = 228) were given a series of 10 choice tasks and asked to choose among 4 meals, each rated based on the following attributes: taste; healthfulness; preparation time; travel time to food outlet for meal/ingredients; and price. SES was measured using education and self-reported difficulty paying for basics. Race/ethnicity was categorized as Hispanic/Latina, non-Hispanic black, non-Hispanic white, and non-Hispanic other. Data were analyzed using mixed logit regression models with interaction terms to determine whether meal attributes influenced meal choices differentially by SES and race/ethnicity. Healthfulness and taste were the most important attributes for all participants. Price was a more important attribute among those in the lowest SES group compared with those in the higher SES groups. Travel was the least important attribute for low SES participants, and it was not significantly related to meal choice in these groups. Discrete choice experiments as illustrated here may help pinpoint the most salient targets for interventions to improve eating behaviors and reduce obesity disparities. Specifically, our findings suggest interventions should incorporate strategies to target the pricing of healthy and unhealthy food options.

Background Hispanics are the fastest growing ethnic group in the United States, and little is known about how Hispanic ethnic population density impacts cardiovascular disease ( CVD ) mortality. Methods and Results We examined county‐level deaths for Hispanics and non‐Hispanic whites from 2003 to 2012 using data from the National Center for Health Statistics’ Multiple Cause of Death mortality files. Counties with more than 20 Hispanic deaths (n=715) were included in the analyses. CVD deaths were identified using International Classification of Diseases, Tenth Revision (ICD‐10), I00 to I78, and population estimates were calculated using linear interpolation from 2000 and 2010 census data. Multivariate linear regression was used to examine the association of Hispanic ethnic density with Hispanic and non‐Hispanic white age‐adjusted CVD mortality rates. County‐level age‐adjusted CVD mortality rates were adjusted for county‐level demographic, socioeconomic, and healthcare factors. There were a total of 4 769 040 deaths among Hispanics (n=382 416) and non‐Hispanic whites (n=4 386 624). Overall, cardiovascular age‐adjusted mortality rates were higher among non‐Hispanic whites compared with Hispanics (244.8 versus 189.0 per 100 000). Hispanic density ranged from 1% to 96% in each county. Counties in the highest compared with lowest category of Hispanic density had 60% higher Hispanic mortality (215.3 versus 134.2 per 100 000 population). In linear regression models, after adjusting for county‐level demographic, socioeconomic, and healthcare factors, increasing Hispanic ethnic density remained strongly associated with mortality for Hispanics but not for non‐Hispanic whites. Conclusions CVD mortality is higher in counties with higher Hispanic ethnic density. County‐level characteristics do not fully explain the higher CVD mortality among Hispanics in ethnically concentrated counties.

BackgroundRacial residential segregation has been linked to adverse health outcomes, but associations may operate through multiple pathways. Prior studies have not examined associations of neighbourhood-level racial segregation with an index of cardiometabolic risk (CMR) and whether associations differ by race/ethnicity.MethodsWe used data from the Multi-Ethnic Study of Atherosclerosis to estimate cross-sectional and longitudinal associations of baseline neighbourhood-level racial residential segregation with a composite measure of CMR. Participants included 5015 non-Hispanic black, non-Hispanic white and Hispanic participants aged 45–84 years old over 12 years of follow-up (2000–2012). We used linear mixed effects models to estimate race-stratified associations of own-group segregation with CMR at baseline and with the rate of annual change in CMR. Models were adjusted for sociodemographics, medication use and individual-level and neighbourhood-level socioeconomic status (SES).ResultsIn models adjusted for sociodemographics and medication use, high baseline segregation was associated with higher baseline CMR among blacks and Hispanics but lower baseline CMR among whites. Individual and neighbourhood-level SES fully explained observed associations between segregation and CMR for whites and Hispanics. However, associations of segregation with CMR among blacks remained (high vs low segregation: mean difference 0.17 SD units, 95% CI 0.02 to 0.32; medium vs low segregation: mean difference 0.18 SD units, 95% CI 0.03 to 0.33). Baseline segregation was not associated with change in CMR index scores over time.ConclusionAssociations of own-group racial residential segregation with CMR varied by race/ethnicity. After accounting for SES, living in a more segregated neighbourhood was associated with greater risk among black participants only.

Background: Smoke-free legislation has been associated with lower rates of cardiovascular disease hospital admissions in ecological studies. However, prior studies lacked detailed information on individual-level factors (eg, sociodemographic and clinical characteristics) that could potentially confound associations. Our objective was to estimate associations of smoke-free policies with incident cardiovascular disease in a longitudinal cohort after controlling for sociodemographics, cardiovascular disease risk factors, and policy covariates. Methods: Longitudinal data from 3783 black and white adults in the CARDIA study (Coronary Artery Risk Development in Young Adults; 1995–2015) were linked to state, county, and local 100% smoke-free policies in bars, restaurants, and nonhospitality workplaces by Census tract. Extended Cox regression estimated hazard ratios (HRs) of incident cardiovascular disease associated with time-dependent smoke-free policy exposures. Models were adjusted for sociodemographic characteristics, cardiovascular disease risk factors, state cigarette tax, participant-reported presence of a smoking ban at their workplace, field center, and metropolitan statistical area poverty. Results: During a median follow-up of 20 years (68 332 total person-years), 172 participants had an incident cardiovascular disease event (2.5 per 1000 person-years). Over the follow-up period, 80% of participants lived in areas with smoke-free policies in restaurants, 67% in bars, and 65% in nonhospitality workplaces. In fully adjusted models, participants living in an area with a restaurant, bar, or workplace smoke-free policy had a lower risk of incident cardiovascular disease compared with those in areas without smoke-free policies (HR, 0.75, 95% confidence interval, 0.49–1.15; HR, 0.76, 95% confidence interval, 0.47–1.24; HR, 0.54, 95% confidence interval, 0.34–0.86, respectively; HR, 0.58, 95% confidence interval, 0.33–1.00 for living in an area with all 3 types of policies compared with none). The estimated preventive fraction was 25% for restaurant policies, 24% for bar policies, and 46% for workplace policies. Conclusions: Consistent with prior ecological studies, these individual-based data add to the evidence that 100% smoke-free policies are associated with lower risk of cardiovascular disease among middle-aged adults.

BACKGROUND Racial residential segregation is associated with higher rates of chronic hypertension, as well as greater risk of preterm birth and low birthweight. However, few studies have examined associations between segregation and hypertensive disorder of pregnancy (HDP). METHODS Electronic health records from 4,748 singleton births among non-Hispanic black women at Prentice Women’s Hospital in Chicago, IL (2009–2013) were geocoded to the census tract level. Residential segregation was measured using the Gi* statistic, a z-score measuring the extent to which each individual’s neighborhood composition deviates from the composition of the larger surrounding area. Segregation was categorized as low (z < 0), medium (z = 0–1.96) or high (z > 1.96). We estimated cross-sectional associations of segregation with HDP using multilevel logistic regression models with census tract random intercepts. Models adjusted for neighborhood poverty and maternal characteristics. We also examined effect modification by neighborhood poverty. RESULTS Overall, 27.2% of women lived in high segregation, high-poverty neighborhoods. Racial residential segregation was not associated as a main effect with HDP in models adjusting for neighborhood poverty and maternal characteristics. However, at higher levels of neighborhood poverty (>20%), women living in high- and medium-segregated neighborhoods had greater odds of HDP relative to those in low-segregation neighborhoods (P interaction: 0.002). CONCLUSIONS In this sample of non-Hispanic black women in Chicago, racial residential segregation was associated with greater prevalence of HDP among those living in higher poverty neighborhoods. Understanding sources of heterogeneity in the relationship between segregation and health will help refine targeted intervention efforts to reduce disparities.

Introduction Few studies have used longitudinal cohort data to examine associations of cigarette prices with smoking cessation or whether price sensitivity varies by income or education. This study examines these associations in a multicenter US cohort and explores whether associations vary by education and income. Methods Longitudinal data from baseline daily cigarette smokers aged 18-30 years in the Coronary Artery Risk Development in Young Adults study were linked to inflation-adjusted cigarette carton prices from the Council for Community and Economic Research Cost of Living Index based on residential address at baseline and in years 7, 10, and 15 (1985-2001). Multivariable Cox models estimated hazard ratios (HRs) of first (any) smoking cessation and sustained smoking cessation (no relapse) associated with each $1 increase in time-dependent cigarette price over 15 years of follow-up. Models were adjusted for sociodemographic, health-related, and policy covariates. We assessed effect modification by education and household income. Results Among 1489 participants, a $1.00 higher cigarette carton price was associated with a 16% higher likelihood of first smoking cessation (HR = 1.16, 95% CI = 1.11 to 1.21) and an 8% higher likelihood of sustained smoking cessation (HR = 1.08, 95% CI = 1.02 to 1.14). Associations were strongest among participants with lower income for first cessation, and among those with higher income for sustained cessation. Associations were strongest for participants with less than a high school degree for both outcomes. Conclusions Results suggest higher cigarette prices promote smoking cessation among young to middle-aged adults, and that price sensitivity may differ by socioeconomic status. Implications Few studies have examined longitudinal associations of cigarette prices with smoking cessation, and findings are mixed on whether price sensitivity varies by education or income. In a cohort of US adult daily smokers, cigarette prices were associated with greater likelihood of both a first cessation and sustained cessation. Price associations with first cessation were stronger among low-income smokers, but associations with sustained cessation were stronger among high-income smokers. Results suggest that although higher cigarette prices may promote short-term smoking cessation among smokers at all income levels, additional supports may be needed to facilitate sustained smoking cessation among low-income smokers.

Background Social factors may enhance health effects of air pollution, yet empirical support is inconsistent. The interaction of social and environmental factors may only be evident with long-term exposures and outcomes that reflect long-term disease development. Methods We used cardiac magnetic resonance imaging data from the Multi-Ethnic Study of Atherosclerosis to assess left-ventricular mass index (LVMI) and left-ventricular ejection fraction (LVEF). We assigned residential concentrations of fine particulate matter (PM2.5), oxides of nitrogen, and nitrogen dioxide in the year 2000 to each participant in 2000 using prediction models. We examined modifying roles of four measures of adversity: race/ethnicity, racial/ethnic residential segregation, and socioeconomic status and psychosocial adversity as composite indices on the association between air pollution and LVMI or LVEF. Results Compared with whites, blacks showed a stronger adjusted association between air pollution and LVMI. For example, for each 5 µg/m greater PM2.5 level, whites showed a 1.0 g/m greater LVMI (95% confidence interval = -1.3, 3.1), while blacks showed an additional 4.0 g/m greater LVMI (95% confidence interval = 0.3, 8.2). Results were similar for oxides of nitrogen and nitrogen dioxide with regard to black race and LVMI. However, we found no evidence of a modifying role of other social factors or ethnic groups. Furthermore, we found no evidence of a modifying role for any social factors or racial/ethnic groups on the association between air pollution and LVEF. Conclusions Our results suggest that racial group membership may modify the association between air pollution and cardiovascular disease.

BackgroundAdverse pregnancy outcomes are associated with higher cardiovascular disease risk among mothers and future health problems of offspring. Neighbourhood crime may contribute to adverse pregnancy outcomes by increasing chronic stress, yet the association has been relatively understudied.MethodsElectronic health records from 34 383 singleton births at a single hospital in Chicago (2009–2013) were geocoded and linked to 1-year rates of police-recorded crime at the neighbourhood (Chicago community area) level. Crimes included homicide, assault/battery, criminal offences and incivilities. Cross-sectional associations of total neighbourhood crime rates with hypertensive disease of pregnancy (HDP: pre-eclampsia/gestational hypertension), preterm birth (PTB), spontaneous preterm birth (sPTB) and small-for-gestational-age (SGA) birth were assessed using multilevel logistic regression with community-area random intercepts. Models controlled for maternal and infant characteristics and neighbourhood poverty. We then assessed associations between individual crime categories and all outcomes.ResultsTotal neighbourhood crime rates ranged from 11.6 to 303.5 incidents per 1000 persons per year (mean: 61.5, SD: 40.3). A 1-SD higher total neighbourhood crime rate was associated with higher odds of HDP (OR: 1.06, 95% CI 1.00 to 1.13), PTB (OR: 1.09, 95% CI 1.03 to 1.15), sPTB (OR: 1.09, 95% CI 1.03 to 1.16) and SGA (OR: 1.05, 95% CI 1.01 to 1.10) in fully adjusted models. Associations were generally consistent across crime categories, although only assault/battery and incivilities were associated with HDP.ConclusionsHigher neighbourhood crime rates were associated with small but significant increases in the odds of adverse pregnancy outcomes. Interventions that cultivate safer neighbourhoods may be a promising approach for improving pregnancy outcomes.

Despite 50 years since the passage of the Fair Housing Act of 1968, the majority of black Americans continue to live in highly segregated communities. Differing exposure to obesogenic environments in segregated neighborhoods may contribute to racial disparities in obesity prevalence.We used prospective data from the Coronary Artery Risk Development in Young Adults (CARDIA) study to examine associations between levels of neighborhood-level racial residential segregation and incident obesity in black men and women. Obesity, determined by measured anthropometry, and residential segregation, measured using the local Gi*statistic, were recorded at baseline and follow-up at years 7, 10, 15, 20, and 25. We used marginal structural survival models to account for time-dependent confounding and for loss to follow-up.Black women living in highly segregated neighborhoods at the prior exam were 30% more likely to become obese during the follow-up period as compared with women living in neighborhoods with low levels of segregation after adjustment for sociodemographic and cardiovascular risk covariates (hazard ratio = 1.3 [95% confidence interval = 1.0, 1.7]). Cumulatively high exposure to segregation averaged across time points was associated with 50% higher hazard of obesity (hazard ratio = 1.5 [95% confidence interval = 1.0, 2.3]) among women. We observed few differences in obesity incidence among men by segregation levels.Fewer health-promoting resources, stressful neighborhood context, and social norms that are less stigmatizing of obesity may contribute to these findings, but more research on specific pathways leading from segregation to obesity is needed to understand differing patterns between men and women.

Previous analyses utilizing birth certificate data have shown environmental factors such as racial residential segregation may contribute to disparities in adverse pregnancy outcomes. However, birth certificate data are ill equipped to reliably differentiate among small for gestational age, spontaneous preterm birth, and medically indicated preterm birth.We sought to utilize data from electronic medical records to determine whether residential segregation among Black women is associated with an increased risk of adverse pregnancy outcomes.The study population was composed of 4770 non-Hispanic Black women who delivered during the years 2009 through 2013 at a single urban medical center. Addresses were geocoded at the level of census tract, and this tract was used to determine the degree of residential segregation for an individual's neighborhood. Residential segregation was measured using the Gi* statistic, a z-score that measures the extent to which the neighborhood racial composition deviates from the composition of the larger surrounding area. The Gi* statistic z-scores were categorized as follows: low (z0), medium (z = 0-1.96), and high (z 1.96). Adverse pregnancy outcomes included overall preterm birth, spontaneous preterm birth, medically indicated preterm birth, and small for gestational age. Hierarchical logistic regression models accounting for clustering by census tract and repeated births among mothers were used to estimate odds ratios of adverse pregnancy outcomes associated with segregation.In high segregation areas, the prevalence of overall preterm birth was significantly higher than that in low segregation areas (15.5% vs 10.7%, respectively; P.001). Likewise, the prevalence of spontaneous preterm birth and medically indicated preterm birth were higher in high (9.5% and 6.0%) vs low (6.2% and 4.6%) segregation neighborhoods (P .001 and P = .046, respectively). The associations of high segregation with overall preterm birth (odds ratio, 1.31; 95% confidence interval, 1.02-1.69) and spontaneous preterm birth (odds ratio, 1.37; 95% confidence interval, 1.02-1.85) remained significant with adjustment for neighborhood poverty, insurance status, parity, and maternal medical conditions.Among non-Hispanic Black women in an urban area, high levels of segregation were independently associated with the higher odds of spontaneous preterm birth. These findings highlight one aspect of social determinants (ie, segregation) through which adverse pregnancy outcomes may be influenced and points to a potential target for intervention.

BACKGROUND The association of Cardiovascular Health (CVH; defined by the American Heart Association by assigning points for health-related behavioral and clinical factors) with endothelial and erectile dysfunction has not been reported, although endothelial and erectile dysfunction have been associated with components of CVH. METHODS Data were collected in 1,136 men in the Multi-Ethnic Study of Atherosclerosis at baseline and erectile dysfunction status (measured by survey or medication use) at exam 5. CVH was determined with 7 health metrics. Endothelial function was measured with brachial artery flow-mediated dilation (FMD). Poisson regression was used to determine associations between CVH and erectile dysfunction across categories of CVH (low, moderate, and high). RESULTS Age and proportion of Black or Latino participants decreased while proportion of Chinese-American participants increased with higher CVH category. FMD was higher in men without erectile dysfunction and higher in men with high vs. low CVH. Erectile dysfunction prevalence was lower with better CVH; 58% in men with low CVH, 41% with moderate CVH, and 33% with high CVH (P < 0.001). CVH was associated with erectile dysfunction; prevalence ratio = 0.75 (95% confidence interval (CI) = 0.66, 0.84) with moderate CVH and 0.68 (95% CI = 0.49, 0.94) with high CVH (vs. men with low CVH) and 0.93 (95% CI = 0.91, 0.96) for every 1-point higher CVH score in a fully adjusted model, including FMD, age, education, depression score, use of antidepressant or beta-blocker medications, chronic disease, heavy drinking, and race. CONCLUSION CVH is associated with future erectile dysfunction, even after adjustment for baseline FMD. Maintaining high CVH may improve quality of life for men.

Experiences of discrimination are associated with increased risk of adverse health outcomes; however, it is unknown whether discrimination is related to incident type 2 diabetes mellitus (diabetes). We investigated the associations of major experiences of discrimination (unfair treatment in 6 situations) and everyday discrimination (frequency of day-to-day experiences of unfair treatment) with incident diabetes among 5,310 participants from the Multi-Ethnic Study of Atherosclerosis, enrolled in 2000-2002. Using Cox proportional hazards models, we estimated hazard ratios and confidence intervals, adjusting for demographic factors, depressive symptoms, stress, smoking, alcohol, physical activity, diet, waist circumference, and body mass index. Over a median follow-up of 9.4 years, 654 diabetes cases were accrued. Major experiences of discrimination were associated with greater risk of incident diabetes when modeled continuously (for each additional experience of discrimination, hazard ratio = 1.09, 95% confidence interval: 1.01, 1.17) or categorically (for ≥2 experiences vs. 0, hazard ratio = 1.34, 95% confidence interval: 1.08, 1.66). Similar patterns were observed when evaluating discrimination attributed to race/ethnicity or to a combination of other sources. Everyday discrimination was not associated with incident diabetes. In conclusion, major experiences of discrimination were associated with increased risk of incident diabetes, independent of obesity or behavioral and psychosocial factors. Future research is needed to explore the mechanisms of the discrimination-diabetes relationship.

Persistent racial/ethnic disparities in obesity and type 2 diabetes mellitus seen in the US are likely due to a combination of social, biological, and environmental factors. A growing number of studies have examined the role of racial/ethnic residential segregation with respect to these outcomes because this macro-level process is believed to be a fundamental cause of many of the factors that contribute to these disparities. This review provides an overview of findings from studies of racial/ethnic residential segregation with obesity and diabetes published between 2013 and 2015. Findings for obesity varied by geographic scale of the segregation measure, gender, ethnicity, and racial identity (among Hispanics/Latinos). Recent studies found no association between racial/ethnic residential segregation and diabetes prevalence, but higher segregation of Blacks was related to higher diabetes mortality. Implications of these recent studies are discussed as well as promising areas of future research.

Background The objective of this study was to evaluate a pilot program that allowed Chicago field center participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study to submit follow-up information electronically (eCARDIA). Methods Chicago field center participants who provided email addresses were invited to complete contact information and follow-up questionnaires on medical conditions electronically in 2012–2013. Sociodemographic characteristics were compared between those who did and did not complete follow-up electronically. The number of participant contacts by CARDIA staff needed before follow-up was completed was also evaluated. Results Blacks and low socioeconomic position individuals were less likely to complete follow-up using the electronic questionnaire. Participants who used the electronic questionnaire for follow-up needed fewer contacts (e.g., median 1 contact compared with 3for contact information follow-up), but they also needed fewer contacts prior to eCARDIA (median 1 before and after eCARDIA). Conclusions Findings suggest other approaches will be needed to maintain contact and elicit follow-up information from harder-to-reach individuals.

Background Endothelial dysfunction may represent an important link between chronic stress and cardiovascular disease (CVD) risk. However, few studies have examined the impact of chronic stress on endothelial dysfunction. The purpose of this study was to examine whether chronic stress was associated with flow-mediated dilation (FMD) and 2 biomarkers of endothelial dysfunction (intercellular adhesion molecule-1 (ICAM-1) and E-selectin) in a multiethnic sample of adults (ages 45-84 years). Methods Data come from the baseline examination of Multi-Ethnic Study of Atherosclerosis participants. Chronic stress was assessed based on self-report of the presence and severity of ongoing problems in 5 domains. FMD was obtained using high-resolution ultrasound; biomarkers were assayed in different subsets of participants. Results Higher chronic stress was associated with lower absolute FMD (mm FMD) in models adjusted for demographic and socioeconomic characteristics (0.169mm in high-stress participants vs. 0.178 and 0.179mm in medium and low-stress participants; P for trend = 0.04). This association remained unchanged with further adjustment for behavioral and biological CVD risk factors. Higher stress was related to higher ICAM-1 in models adjusted for sociodemographic characteristics and biological risk factors (P for trend = 0.005), but this association attenuated with adjustment for cigarette smoking (P for trend = 0.07). Chronic stress was not associated with E-selectin. Conclusions Our findings suggest chronic stress is related to endothelial dysfunction, possibly in part through other stress-associated CVD risk factors such as cigarette smoking.

Background Racial disparities in hypertension prevalence in the United States are established. Given our understanding of racial and ethnic disparities in sleep characteristics and demonstrated associations between sleep characteristics and hypertension, we tested whether sleep characteristics mediated racial disparities in hypertension. Methods Analyses were performed in the Chicago Area Sleep Study, a population-based cohort study of 154 Blacks, 128 Whites, 103 Hispanics, and 109 Asians without obstructive sleep apnea. Participants underwent 7 days of wrist actigraphy monitoring. Algorithms were used to determine sleep duration and sleep maintenance (the percent of sleep in the sleep period). Hypertension was determined as systolic blood pressure >140mm Hg or diastolic blood pressure >90mm Hg or the use of antihypertensive medications. We estimated sample prevalence ratios for hypertension before and after adjustment for sleep characteristics and also conducted mediation analysis. Results The sample prevalence of hypertension was highest in Blacks (36%), followed by Hispanics (14%), Asians (8%), and Whites (5%). The sample prevalence ratio for hypertension for Blacks vs. Whites was 5.52 (95% confidence interval (CI): 2.36, 13.23) after adjusting for age, sex, and education. Adjustment for sleep duration had no influence on the effect estimate, but adjustment for sleep maintenance attenuated the sample prevalence ratio to 4.55 (95% CI: 1.91, 11.14). Sleep maintenance mediated 11.4% of the difference in hypertension prevalence between Blacks and Whites in this sample. Conclusions Sleep maintenance mediated a small but significant portion of the disparity in hypertension between Blacks and Whites. Future research should investigate the mechanisms underlying these findings.

Objective To examine associations of lifetime and everyday discrimination with inflammation independent of sociodemographic characteristics. Method Cross-sectional associations of self-reported experiences of everyday discrimination and lifetime discrimination with interleukin-6 (IL-6) and C-reactive protein (CRP) were examined by gender in a multiethnic sample of 3,099 men and 3,468 women aged 45-84 years. Everyday discrimination, lifetime discrimination due to any attribution, and lifetime discrimination attributed to race/ethnicity were based on self-report, and IL-6 and CRP were assayed from blood samples. Results Among women, higher levels of all 3 discrimination measures were significantly associated with higher IL-6 in models adjusted for sociodemographic characteristics, recent infection, anti-inflammatory medication use, and hormone replacement therapy use. All associations were attenuated with adjustment for body mass index (BMI). For men, everyday discrimination was inversely associated with IL-6 in all adjusted models. Lifetime discrimination was not related to IL-6 among men. Discrimination was unassociated with CRP in all models for both men and women. Conclusions The association between discrimination and inflammation varied by gender and marker of inflammation. These findings highlight the complex relationship between discrimination and cardiovascular disease (CVD) risk and point to areas in need of further research. (PsycINFO Database Record

Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18&ndash, 44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54).

Individuals with favorable levels of all readily measured major CVD risk factors (low CV risk) during middle age incur lower cardiovascular morbidity and mortality, lower all-cause mortality, and lower Medicare costs at older ages compared to adults with one or more unfavorable CVD risk factors. Studies on predictors of low CV risk in Hispanics/Latinos have focused solely on Mexican-Americans. The objective of this study was to use data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL; enrolled 2008 to 2011) to assess relationships of nativity and length of residence in the US, a commonly used proxy for acculturation, with low CV risk (not currently smoking; no diabetes; untreated total cholesterol 1 heritage. We also tested whether associations varied by Hispanic/Latino background. Women living in the US

Despite cross-sectional evidence linking racial residential segregation to hypertension prevalence among non-Hispanic blacks, it remains unclear how changes in exposure to neighborhood segregation may be associated with changes in blood pressure.To examine the association of changes in neighborhood-level racial residential segregation with changes in systolic and diastolic blood pressure over a 25-year period.This observational study examined longitudinal data of 2280 black participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study, a prospective investigation of adults aged 18 to 30 years who underwent baseline examinations in field centers in 4 US locations from March 25, 1985, to June 7, 1986, and then were re-examined for the next 25 years. Racial residential segregation was assessed using the Getis-Ord Gi* statistic, a measure of SD between the neighborhood's racial composition (ie, percentage of black residents) and the surrounding area's racial composition. Segregation was categorized as high (Gi*1.96), medium (Gi* 0-1.96), and low (Gi*0). Fixed-effects linear regression modeling was used to estimate the associations of within-person change in exposure to segregation and within-person change in blood pressure while tightly controlling for time-invariant confounders. Data analyses were performed between August 4, 2016, and February 9, 2017.Within-person changes in systolic and diastolic blood pressure across 6 examinations over 25 years.Of the 2280 participants at baseline, 974 (42.7%) were men and 1306 (57.3%) were women. Of these, 1861 (81.6%) were living in a high-segregation neighborhood; 278 (12.2%), a medium-segregation neighborhood; and 141 (6.2%), a low-segregation neighborhood. Systolic blood pressure increased by a mean of 0.16 (95% CI, 0.06-0.26) mm Hg with each 1-SD increase in segregation score after adjusting for interactions of time with age, sex, and field center. Of the 1861 participants (81.6%) who lived in high-segregation neighborhoods at baseline, reductions in exposure to segregation were associated with reductions in systolic blood pressure. Mean differences in systolic blood pressure were -1.33 (95% CI, -2.26 to -0.40) mm Hg when comparing high-segregation with medium-segregation neighborhoods and -1.19 (95% CI, -2.08 to -0.31) mm Hg when comparing high-segregation with low-segregation neighborhoods after adjustment for time and interactions of time with baseline age, sex, and field center. Changes in segregation were not associated with changes in diastolic blood pressure.Decreases in exposure to racial residential segregation are associated with reductions in systolic blood pressure. This study adds to the small but growing body of evidence that policies that reduce segregation may have meaningful health benefits.

Background Epidemiologic studies have yielded mixed findings on the association of psychosocial stressors with cardiovascular disease ( CVD ) risk. In this study, we examined associations of stressful life events ( SLE ) and social strain with incident coronary heart disease ( CHD ) and stroke (overall, and for hemorrhagic and ischemic strokes) independent of sociodemographic characteristics, and we evaluated whether these relationships were explained by traditional behavioral and biological risk factors. Methods and Results Data from approximately 82 000 Women's Health Initiative Observational Study participants were used for the SLE and social strain analyses, respectively. Participants were followed for events for up to 18.0 years (median, 14.0). Separate Cox proportional hazards models were generated to estimate associations of each stress measure with incident CVD . After adjusting for sociodemographic characteristics and depressive symptoms, higher SLE and social strain were associated with higher incident CHD and stroke (each P trend CHD and 1.14 (1.01, 1.28) for incident stroke among participants reporting high versus low SLE . Findings were similar for social strain. Associations were attenuated with further adjustment for mediating behavioral and biological risk factors. Findings were similar for associations of SLE with ischemic stroke and hemorrhagic stroke, but social strain was only associated with ischemic stroke. Conclusions Higher SLE and social strain were associated with higher incident CVD independent of sociodemographic factors and depressive symptoms, but not behavioral and biological risk factors.