Neighborhood eviction trajectories and odds of moderate and serious psychological distress during pregnancy among African American women.

African American mothers are unjustly burdened both by residential evictions and psychological distress. We quantified associations between trajectories of neighborhood evictions over time, and odds of moderate and serious psychological distress (MPD and SPD, respectively) during pregnancy among African American women. We linked publicly available neighborhood eviction filing and judgement rate data to preconception and during pregnancy addresses from the Life-course Influences on Fetal Environments Study (2009-2011, n=808). Multinomial logistic regression estimated odds of MPD and SPD during pregnancy associated with eviction filing and judgement rate trajectories incorporating preconception and during pregnancy addresses (each categorized as low/medium/high, with two 9-category trajectory measures). Psychological distress was measured with the Kessler (K6) scale (scores between 5-12 = MPD, and ≥ 13 = SPD). MPD was reported in 60% and SPD in 8% of the sample. Higher neighborhood eviction filing and judgement rates, compared to low/low in the preconception and pregnancy periods was associated with between 2- and 4-fold higher odds of both MDP and SPD during pregnancy among African American women, in adjusted models. Future studies should identify mechanisms of these findings to inform timely community-based interventions and effective policy solutions to ensure the basic human right to housing for all.

A History Of The Impacts Of Discriminatory Policies On Housing And Maternal And Infant Health In An Ohio Neighborhood.

Community-level disinvestment and de facto segregation rooted in decades of discriminatory race-based policies and racism have resulted in unacceptably large infant mortality rates in racial minority neighborhoods across the US. Most community development and housing work, implemented with the goal of addressing health and social inequities, is designed to tackle current challenges in the condition of neighborhoods without a race-conscious lens assessing structural racism and discrimination. Using one historically segregated neighborhood-Linden, in Columbus, Ohio-we detail how state and local policies have affected the neighborhood and shaped neighborhood-level demographics and resources during the past 100 years. We explore how structural racism- and discrimination-informed strategic community reinvestment could provide a solution and yield lasting change.

Racial and Economic Segregation Over the Life Course and Incident Hypertensive Disorders of Pregnancy Among Black Women in California.

Black women in the United States have the highest incidence of hypertensive disorders of pregnancy (HDP) and are disproportionately burdened by its adverse sequalae, compared with women of all racial and ethnic groups. Segregation, a key driver of structural racism for Black families, can provide information critical to understanding these disparities. We examined the association between racial and economic segregation at 2 points and incident HDP using intergenerationally linked birth records of 45,204 Black California-born primiparous mothers (born 1982-1997) and their infants (born 1997-2011), with HDP ascertained from hospital discharge records. Women's early childhood and adulthood neighborhoods were categorized as deprived, mixed, or privileged based on the Index of Concentration at the Extremes (a measure of concentrated racial and economic segregation), yielding 9 life-course trajectories. Women living in deprived neighborhoods at both time points experienced the highest odds of HDP (from mixed effect logistic regression, unadjusted odds ratio = 1.26, 95% confidence interval: 1.13, 1.40) compared with women living in privileged neighborhoods at both time points. All trajectories involving residence in a deprived neighborhood in early childhood or adulthood were associated with increased odds of HDP, whereas mixed-privileged and privileged-mixed trajectories were not. Future studies should assess the causal nature of these associations.

Structural racism and health: Assessing the mediating role of community mental distress and health care access in the association between mass incarceration and adverse birth outcomes.

Research has linked spatial concentrations of incarceration with racial disparities in adverse birth outcomes. However, little is known about the specific mechanisms of this association. This represents an important knowledge gap in terms of intervention. We theorize two pathways that may account for the association between county-level prison rates and adverse birth outcomes: (1) community-level mental distress and (2) reduced health care access. Examining these mechanisms, we conducted a cross-sectional study of county-level prison rates, community-level mental distress, health insurance, availability of primary care physicians (PCP) and mental health providers (MHP), and adverse birth outcomes (preterm birth, low birth weight, infant mortality). Our data set included 475 counties and represented 2,677,840 live U.S. births in 2016. Main analyses involved between 170 and 326 counties. All data came from publicly available sources, including the U.S. Census and the Centers for Disease Control and Prevention. Descriptive and regression results confirmed the link between prison rates and adverse birth outcomes and highlighted Black-White inequities in this association. Further, bootstrap mediation analyses indicated that the impact of spatially concentrated prison rates on preterm birth was mediated by PCP, MHP, community-level mental distress, and health insurance in both crude and adjusted models. Community-level mental distress and health insurance (but not PCP or MHP) similarly mediated low birthweight in both models. Mediators were less stable in the effect on infant mortality with only MHP mediating consistently across models. We conclude that mass incarceration, health care access, and community mental distress represent actionable and urgent targets for structural-, community-, and individual-level interventions targeting population inequities in birth outcomes.

Pregnancy loss and risk of incident CVD within 5 years: Findings from the Women's Health Initiative.

Background: Previous studies have demonstrated an increased risk of cardiovascular disease (CVD) in women with a history of pregnancy loss. Less is known about whether pregnancy loss is associated with age at the onset of CVD, but this is a question of interest, as a demonstrated association of pregnancy loss with early-onset CVD may provide clues to the biological basis of the association, as well as having implications for clinical care. We conducted an age-stratified analysis of pregnancy loss history and incident CVD in a large cohort of postmenopausal women aged 50-79 years old. Methods: Associations between a history of pregnancy loss and incident CVD were examined among participants in the Women's Health Initiative Observational Study. Exposures were any history of pregnancy loss (miscarriage and/or stillbirth), recurrent (2+) loss, and a history of stillbirth. Logistic regression analyses were used to examine associations between pregnancy loss and incident CVD within 5 years of study entry in three age strata (50-59, 69-69, and 70-79). Outcomes of interest were total CVD, coronary heart disease (CHD), congestive heart failure, and stroke. To assess the risk of early onset CVD, Cox proportional hazard regression was used to examine incident CVD before the age of 60 in a subset of subjects aged 50-59 at study entry. Results: After adjustment for cardiovascular risk factors, a history of stillbirth was associated with an elevated risk of all cardiovascular outcomes in the study cohort within 5 years of study entry. Interactions between age and pregnancy loss exposures were not significant for any cardiovascular outcome; however, age-stratified analyses demonstrated an association between a history of stillbirth and risk of incident CVD within 5 years in all age groups, with the highest point estimate seen in women aged 50-59 (OR 1.99; 95% CI, 1.16-3.43). Additionally, stillbirth was associated with incident CHD among women aged 50-59 (OR 3.12; 95% CI, 1.33-7.29) and 60-69 (OR 2.06; 95% CI, 1.24-3.43) and with incident heart failure and stroke among women aged 70-79. Among women aged 50-59 with a history of stillbirth, a non-significantly elevated hazard ratio was observed for heart failure before the age of 60 (HR 2.93, 95% CI, 0.96-6.64). Conclusions: History of stillbirth was strongly associated with a risk of cardiovascular outcomes within 5 years of baseline in a cohort of postmenopausal women aged 50-79. History of pregnancy loss, and of stillbirth in particular, might be a clinically useful marker of cardiovascular disease risk in women.

Community-based Systems Dynamics for Reproductive Health: An Example from Urban Ohio.

BACKGROUND: Health outcomes, risk factors, and policies are complexly related to the reproductive health system. Systems-level frameworks for understanding and acting within communities through community-engaged research are needed to mitigate adverse reproductive health outcomes more effectively within the community. OBJECTIVES: To describe and share lessons learned from an ongoing application of a participatory modeling approach (community-based system dynamics) that aims to eliminate racial inequities in Black-White reproductive health outcomes. METHODS: The community-based system dynamics approach involves conducting complementary activities, workshops, modeling, and dissemination. We organized workshops, co-developed a causal loop diagram of the reproductive health system with participants from the community, and created materials to disseminate workshop findings and preliminary models. LESSONS LEARNED: Many opportunities exist for cross-fertilization of best practices between community-based system dynamics and community-based participatory research. Shared learning environments offer benefits for modelers and domain experts alike. Additionally, identifying local champions from the community helps manage group dynamics. CONCLUSIONS: Community-based system dynamics is well-suited for understanding complexity in the reproductive health system. It allows participants from diverse perspectives to identify strategies to eliminate racial inequities in reproductive health outcomes.

The Association of Neighborhood Changes with Health-Related Quality of Life in the Women's Health Initiative.

Longitudinal studies can help us understand the effects of long-term neighborhood changes, as these can capture individual self-appraisal of current and future circumstances. We analyzed the association between neighborhood changes and health-related quality of life (HRQoL) outcomes among older women from the Women's Health Initiative (WHI) study. We used a subset (n = 49,254) of the longitudinal WHI dataset of female participants, aged 50-79 at baseline, recruited from 40 clinical centers across the U.S. beginning in 1993. Two HRQoL outcomes were explored: self-rated quality of life (SRQoL), and physical functioning-related quality of life (PFQoL). We used U.S. census tract-level changes in median household income between the 2000 census and 2007-2011 American Community Survey to classify neighborhoods as "upgrading," "declining," or "stable." Multi-level models were used to identify significant associations between neighborhood change and HRQoL outcomes over time. Compared to participants residing in upgrading neighborhoods, participants in stable and declining neighborhoods reported significantly lower PFQoL. A significant interaction was observed with income such that the effect of neighborhood change was greater at lower levels of income.

Injustices in Black Maternal Health: A Call for Different Research Questions, Orientations, and Methodologies.

For decades, Black mothers have been most likely to suffer the worst outcomes of pregnancy, including death. Even though traditional individual level risk factors do not explain racial inequities in maternal morbidity, most studies identify Black race as a predictor, instead of the ways in which our society is structured around racism that makes Black mothers vulnerable to adverse health outcomes. As an example, the U.S is exceptional in incarcerating its residents, and Black men are six times and Black women are three times more likely than their white counterparts to be incarcerated. Relatedly, violent death caused by homicides disproportionately impacts Black communities, such that is the leading cause of death for males and females aged 10-34 years. Estimates suggest that more than 50% of urban residents know more than 10 murder victims, and approximately 200 people are affected by each neighborhood murder. Recent research has begun to shed light on the impacts of stressful neighborhood social conditions on risk of the adverse birth outcomes among Black mothers however, few studies have quantified the impact of macro-social neighborhood factors like violent death exposures and mass incarceration on Black maternal health. Future research that leverages relevant theoretical frameworks, is co-created and co-led with affected communities, and focuses on relevant neighborhood level traumas is warranted if we are to address the longstanding racial inequities in maternal health.

On the Need to Revitalize Descriptive Epidemiology.

Nearly every introductory epidemiology course begins with a focus on person, place, and time, the key components of descriptive epidemiology. And yet in our experience, introductory epidemiology courses were the last time we spent any significant amount of training time focused on descriptive epidemiology. This gave us the impression that descriptive epidemiology does not suffer from bias and is less impactful than causal epidemiology. Descriptive epidemiology may also suffer from a lack of prestige in academia and may be more difficult to fund. We believe this does a disservice to the field and slows progress towards goals of improving population health and ensuring equity in health. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak and subsequent coronavirus disease 2019 pandemic have highlighted the importance of descriptive epidemiology in responding to serious public health crises. In this commentary, we make the case for renewed focus on the importance of descriptive epidemiology in the epidemiology curriculum using SARS-CoV-2 as a motivating example. The framework for error we use in etiological research can be applied in descriptive research to focus on both systematic and random error. We use the current pandemic to illustrate differences between causal and descriptive epidemiology and areas where descriptive epidemiology can have an important impact.

Social Isolation and Incident Heart Failure Hospitalization in Older Women: Women's Health Initiative Study Findings.

Background The association of social isolation or lack of social network ties in older adults is unknown. This knowledge gap is important since the risk of heart failure (HF) and social isolation increase with age. The study examines whether social isolation is associated with incident HF in older women, and examines depressive symptoms as a potential mediator and age and race and ethnicity as effect modifiers. Methods and Results This study included 44 174 postmenopausal women of diverse race and ethnicity from the WHI (Women's Health Initiative) study who underwent annual assessment for HF adjudication from baseline enrollment (1993-1998) through 2018. We conducted a mediation analysis to examine depressive symptoms as a potential mediator and further examined effect modification by age and race and ethnicity. Incident HF requiring hospitalization was the main outcome. Social isolation was a composite variable based on marital/partner status, religious ties, and community ties. Depressive symptoms were assessed using CES-D (Center for Epidemiology Studies-Depression). Over a median follow-up of 15.0 years, we analyzed data from 36 457 women, and 2364 (6.5%) incident HF cases occurred; 2510 (6.9%) participants were socially isolated. In multivariable analyses adjusted for sociodemographic, behavioral, clinical, and general health/functioning; socially isolated women had a higher risk of incident HF than nonisolated women (HR, 1.23; 95% CI, 1.08-1.41). Adding depressive symptoms in the model did not change this association (HR, 1.22; 95% CI, 1.07-1.40). Neither race and ethnicity nor age moderated the association between social isolation and incident HF. Conclusions Socially isolated older women are at increased risk for developing HF, independent of traditional HF risk factors. Registration URL: http://www.clinicaltrials.gov; Unique identifier: NCT00000611.

Neighborhood Evictions, Marital/Cohabiting Status, and Preterm Birth among African American Women.

Introduction: Housing stability is an important determinant of health, but no studies to our knowledge have examined the spill-over effects of neighborhood eviction rates on individual risk of preterm birth (PTB) among African American women. Objective: We assessed whether living in a neighborhood with high eviction rates was associated with risk of PTB among African American women, and whether marital/cohabiting status modified the association. Methods: We spatially linked interview, medical record, and current address data from the Life-course Influences on Fetal Environments Study (2009-2011, N=1386) of postpartum African American women from Metropolitan Detroit, Michigan, to publicly available data on block-group level rates of eviction filings and judgements. PTB was defined as birth before 37 completed weeks of gestation and occurred in 16.3% of the sample (n=226). Eviction rate variables were rescaled by their interquartile ranges (75th vs 25th percentiles). Women self-reported whether they were married to, or cohabiting with, the father of their baby during the in-person interview. We used Modified Poisson regression with robust error variance to estimate relative risks of PTB associated with each eviction variable separately and included an interaction term with marital/cohabiting status (P<.10 considered significant) in adjusted models. Results: In the overall sample, neighborhood eviction filings and judgements did not predict PTB, but the associations were modified by marital/cohabiting status (P for interaction = .02, and .06, respectively). Among women who were married/cohabiting, those who lived in neighborhoods with high eviction filings (adjusted relative risk: 1.25, 95% CI: 1.06, 1.47) and eviction judgements (adjusted relative risk: 1.18, 95% CI: 1.05, 1.33) had higher risk of PTB than women who did not. Little evidence of an association was observed for women who were not married/cohabiting. Conclusions: Future studies should examine the mechanisms of the reported associations to identify novel intervention targets (eg, addressing landlord discrimination) and policy solutions (eg, ensuring a living wage and providing affordable housing assistance to everyone who qualifies) to reduce the burden of PTB among African Americans.

Chocolate Candy and Incident Invasive Cancer Risk in the Women's Health Initiative: An Observational Prospective Analysis.

BACKGROUND: Laboratory and animal studies suggest an inverse association between chocolate consumption and the risk of cancer. Epidemiological studies have yielded inconsistent evidence. OBJECTIVE: To assess the association of chocolate candy consumption with incident, invasive total, breast, colorectal, and lung cancers in a large cohort of postmenopausal American women. DESIGN: Prospective cohort study with a mean 14.8-year follow-up. Chocolate candy intake was assessed by food frequency questionnaire. Invasive cancer events were assessed by physician adjudication. PARTICIPANTS/SETTING: The Women's Health Initiative Study enrolled 161,808 postmenopausal women at 40 clinical centers nationwide between 1993 and 1998. Of these women, 114,281 with plausible food frequency or biometric data and no missing data on chocolate candy exposure were selected for analysis. MAIN OUTCOME MEASURES: Cancer risk in quartiles of chocolate candy consumption with the first quartile as referent. STATISTICAL ANALYSES: Multivariable Cox regression was used to calculate hazard ratios and 95% confidence intervals. RESULTS: There were 16,164 documented incident invasive cancers, representing an incidence rate of 17.0 per 100 participants and 12.3 per 1000 person years during follow-up among participants without any preexisting cancers or missing outcome data. There were no statistically significant associations for total invasive cancer (P-linear = .47, P-curvature = .14), or invasive breast cancer (P-linear = .77, P-curvature = .26). For colorectal cancer P-linear was .02, P-curvature was .03, and compared with women eating a 1 oz (28.4 g) chocolate candy serving <1 time per month, the hazard ratio for ≥1.5 times/wk was 1.18 (95% confidence interval: 1.04-1.35). This result may be attributable to the excess adiposity associated with frequent chocolate candy consumption. CONCLUSIONS: In the Women's Health Initiative, there was no significant association between chocolate candy consumption and invasive total or breast cancer. There was a modest 18% higher risk of invasive colorectal cancer for women who ate chocolate candy at least 1.5 times/wk. These results require confirmation.

Association of Adverse Pregnancy Outcomes With Risk of Atherosclerotic Cardiovascular Disease in Postmenopausal Women.

Importance: Atherosclerotic cardiovascular disease (ASCVD) may have unique risk factors in women. Most women have a history of pregnancy; common adverse pregnancy outcomes (APOs) appear to be associated with ASCVD, but prior studies have limitations. Objective: To assess whether APOs are associated with increased ASCVD risk independently of traditional risk factors. Design, Setting, and Participants: The APO history among participants in the Women's Health Initiative, a large multiethnic cohort of postmenopausal women, was assessed. The associations of 5 self-reported APOs (gestational diabetes, hypertensive disorders of pregnancy, low birth weight [ie, birth weight less than 2.49 kg], high birth weight [ie, birth weight greater than 4.08 kg], and preterm delivery by 3 weeks or more) with ASCVD were analyzed, adjusting for traditional ASCVD risk factors. Data were collected and analyzed in 2017. Exposures: APOs (gestational diabetes, hypertensive disorders of pregnancy, low birth weight, high birth weight, and preterm delivery). Main Outcomes and Measures: Adjudicated ASCVD. Results: A total of 48 113 Women's Health Initiative participants responded to the survey; the median (interquartile range) age at time of enrollment was 60.0 (55.0-64.0) years. A total of 13 482 participants (28.8%) reported 1 or more APOs. Atherosclerotic cardiovascular disease was more frequent in women who reported an APO compared with those without APOs (1028 of 13 482 [7.6%] vs 1758 of 30 522 [5.8%]). Each APO, analyzed separately, was significantly associated with ASCVD, and gestational diabetes, hypertensive disorders of pregnancy, low birth weight, and preterm delivery remained significant after adjustment for traditional ASCVD risk factors. When all APOs were analyzed together, hypertensive disorders of pregnancy (odds ratio, 1.27; 95% CI, 1.15-1.40) and low birth weight (odds ratio, 1.12; 95% CI, 1.00-1.26) remained independently associated with ASCVD. All findings were materially unchanged by additional adjustment for parity, body mass index, and socioeconomic factors. Conclusions and Relevance: In this large multiethnic cohort of women, hypertensive disorders of pregnancy and low birth weight were independently associated with ASCVD after adjustment for risk factors and other APOs.

Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment.

BACKGROUND: Non-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors. METHODS: Two cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014-2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries' claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models. RESULTS: Among 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (ß = 0.31, P-value < 0.001) and weak social supports (ß = 0.27, P-value < 0.001), but inversely with healthy built environment (ß = -0.10, P-value = 0.02). These three constructs explained one-third (R2 = 30.0%) of the variation in county-level AHM non-adherence. CONCLUSION: AHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.

Social Support, Social Network Size, Social Strain, Stressful Life Events, and Coronary Heart Disease in Women With Type 2 Diabetes: A Cohort Study Based on the Women's Health Initiative.

OBJECTIVE: We studied associations between social support, social network size, social strain, or stressful life events and risk of coronary heart disease (CHD) in postmenopausal women with type 2 diabetes. RESEARCH DESIGN AND METHODS: From the Women's Health Initiative, 5,262 postmenopausal women with type 2 diabetes at baseline were included. Cox proportional hazards regression models adjusted for demographics, depressive symptoms, anthropometric variables, and lifestyle factors were used to examine associations between social factors and CHD. RESULTS: A total of 672 case subjects with CHD were observed during an average 12.79 (SD 6.29) years of follow-up. There was a significant linear trend toward higher risk of CHD as the number of stressful life events increased (P for trend = 0.01; hazard ratio [HR] [95% CI] for the third and fourth quartiles compared with first quartile: 1.27 [1.03-1.56] and 1.30 [1.04-1.64]). Being married or in an intimate relationship was related to decreased risk of CHD (HR 0.82 [95% CI 0.69-0.97]). CONCLUSIONS: Among postmenopausal women with type 2 diabetes, higher levels of stressful life events were associated with higher risk of CHD. Experience of stressful life events might be considered as a risk factor for CHD among women with type 2 diabetes.

Associations of social, physical, and financial factors with diet quality among older, community-dwelling women.

OBJECTIVE: This analysis examined whether specific social, physical, and financial factors were associated with diet quality among older, community-dwelling women. METHODS: This cross-sectional analysis was conducted in a subset of 6,094 community-dwelling Women's Health Initiative participants who completed a food frequency questionnaire, administered from 2012 to 2013, and a self-administered supplemental questionnaire, administered approximately 1 year later. The supplemental questionnaire included five questions assessing social, physical, and financial factors related to eating. Diet quality was assessed with the Healthy Eating Index-2010 (HEI-2010; range of 0-100; higher score indicates a higher quality diet). The total HEI-2010 score was calculated by summing individual scores representing the intake of nine adequacy components (beneficial food groups) and three moderation components (food groups to limit). Associations of responses to the five questions on the supplemental questionnaire with HEI-2010 scores were examined with multiple linear regression, adjusting for relevant covariates. RESULTS: Mean ±â€Šstandard deviation age of participants was 78.8 ±â€Š6.7 years. Reporting eating fewer than two meals per day, having dental or other mouth problems causing problems with eating, and not always being able to shop, cook, or feed oneself were associated with statistically significantly lower HEI-2010 scores, compared with those not reporting these issues, after multivariable adjustment: 5.37, 2.98, and 2.39 lower scores, respectively (all P values <0.0001). Reporting eating alone most of the time and not always having enough money to buy food were not associated with HEI-2010 scores. CONCLUSIONS: Among older, community-dwelling women, eating fewer than two meals per day, dental and other mouth problems, and diminished ability to shop for food, prepare meals, and feed oneself were associated with lower diet quality. These are potential targets for interventions to improve diet quality in older women. : Video Summary:http://links.lww.com/MENO/A561.

Video Summary:http://links.lww.com/MENO/A561.

Neighborhood-Level Mass Incarceration and Future Preterm Birth Risk among African American Women.

While evidence for neighborhood effects on adverse birth outcomes is growing, no studies have examined whether living in a neighborhood impacted by mass incarceration is associated with preterm birth risk. We used modified Poisson regression to test whether residence in a neighborhood impacted by mass incarceration predicted future risk of preterm birth, among African American women. We linked data from the Justice Atlas of Sentencing and Corrections to survey and medical record data from the Life-course Influences on Fetal Environments study (n = 681). We also tested for effect modification by age and marital status. The association between prison admission expenditures and future risk of PTB varied by maternal age at birth, with younger women (< 35) having a modest increase in risk (relative risk (RR) 1.07; 95% confidence interval (CI) 0.99, 1.15), and older (35+ year old) women having lower risk (RR 0.86; 95% CI 0.69, 1.07). The association between the number of prison admissions due to new court cases and future risk of PTB varied by marital status, with evidence that married women may be protected (RR 0.75; 95% CI 0.61, 0.92), while little evidence of association was observed among unmarried women (RR 1.02; 95% CI 0.80, 1.30). The association between residence in an area impacted by mass incarceration and future risk of PTB among African American women may vary by age and marital status. Future research to identify the mechanisms of these associations is warranted.

Association of Diet Quality and Physical Activity on Obesity-Related Cancer Risk and Mortality in Black Women: Results from the Women's Health Initiative.

BACKGROUND: Obesity-related cancers disproportionately affect the Black community. We assessed the relationship between diet quality, physical activity, and their combined effect on obesity-related cancer risk and mortality in Black women enrolled in the Women's Health Initiative (WHI). METHODS: Data from postmenopausal (50-79 years of age) Black women enrolled in WHI clinical trials or observational studies were analyzed. Exposure variables included baseline physical activity [metabolic equivalent of tasks (MET)-hours/week of moderate-to-vigorous physical activity (MVPA)] and diet quality [Healthy Eating Index (HEI)-2015]. Outcomes included adjudicated obesity-related cancer incidence and mortality. Cox proportional hazard models were used to evaluate the association between MVPA and HEI-2015 and obesity-related cancer risk and mortality. RESULTS: The analytical sample included 9,886 Black women, with a baseline mean body mass index (BMI) of 31.1 kg/m2 (SD = 6.8); mean HEI-2015 score of 63.2 (SD = 11.0, possible range 0 to 100); and mean MVPA of 5.0 (SD = 9.4) MET-hours/week. Over an average of 13 years of follow-up, 950 (9.6%) obesity-related cancer cases were observed, with 313 (32.9%) resulting in death. Physical activity [HR, 1.05; 95% confidence interval (CI), 0.86-1.30], diet quality (HR, 0.99; 95% CI, 0.92-1.08), and their combination (HR, 1.05; 95% CI, 0.85-1.29) were not associated with risk for any or site-specific obesity-related cancers. Similarly, these health behaviors had no association with mortality. CONCLUSIONS: Diet quality, physical activity and their combined effect, as measured, were not associated with obesity-related cancer risk and mortality in Black women enrolled in WHI. IMPACT: Other social, behavioral, and biological factors may contribute to racial disparities observed in obesity-related cancer rates.

Rural-Urban Residence and Stroke Risk and Severity in Postmenopausal Women: The Women's Health Initiative.

Background: The impact of rural-urban residence on stroke risk and poor stroke outcomes among postmenopausal women is unknown. Methods: We used data from the Women's Health Initiative (WHI) (1993-2014; n = 155,186) to test the hypothesis that women who live in rural compared with urban areas have higher stroke risk and worse stroke outcomes than urban women. We used rural-urban commuting area codes to categorize geocoded participant addresses into urban, large rural, or small rural areas. Incident strokes during follow-up were adjudicated by neurologists who used standardized criteria for reviewing brain imaging reports and other medical records and determining stroke subtype. Stroke functional recovery was measured with the Glasgow Stroke Outcomes Scale ascertained from the hospital record. We used univariable and multivariable-adjusted Cox proportional hazards models as well as logistic regression models to test whether rural-urban residence predicted stroke risk and odds of poor stroke outcome. Results: Among the 155,186 women in our cohort, 2.3% (n = 3514) had an incident stroke. We observed a modest reduction in risk of incident stroke among women who lived in urban (adjusted hazard ratio [aHR]: 0.86, confidence interval [95% CI]: 0.71-1.05) and large rural areas (aHR: 0.79, 95% CI: 0.60-1.04) compared with women who lived in small rural areas. In contrast, women who lived in urban compared with large rural areas had a similarly modest increased risk of stroke (aHR: 1.09, 95% CI: 0.89-1.32). Women who lived in urban compared with large rural areas were more likely to have poor stroke outcome (odds ratio [OR]: 1.41, 95% CI: 1.06-1.88), but the association was attenuated after adjustment for covariates (adjusted OR [aOR]: 1.27, 0.93-1.74). Conclusions: Future studies should confirm and examine the potential pathways of the reported associations among postmenopausal women.