Neighborhood-level racialized socioeconomic deprivation and contraceptive use in the United States, 2011-2019.

INTRODUCTION: The social and structural environments where people live are understudied in contraceptive research. We assessed if neighborhood measures of racialized socioeconomic deprivation are associated with contraceptive use in the United States. METHODS: We used restricted geographic data from four waves of the National Survey of Family Growth (2011-2019) limited to non-pregnant women ages 15-44 who had sex in the last 12 months. We characterized respondent neighborhoods (census tracts) with the Index of Concentration at the Extremes (ICE), a measure of spatial social polarization, into areas of concentrated privilege (predominantly white residents living on high incomes) and deprivation (predominantly people of color living on low incomes). We used multivariable binary and multinomial logistic regression with year fixed effects to estimate adjusted associations between ICE tertile and contraceptive use and method type. We also assessed for an interactive effect of ICE and health insurance type. RESULTS: Of the 14,396 respondents, 88.4% in neighborhoods of concentrated deprivation used any contraception, compared to 92.7% in the most privileged neighborhoods. In adjusted models, the predicted probability of using any contraception in neighborhoods of concentrated deprivation was 2.8 percentage points lower than in neighborhoods of concentrated privilege, 5.0 percentage points higher for barrier/coital dependent methods, and 4.3 percentage points lower for short-acting methods. Those with Medicaid were less likely to use any contraception than those with private insurance irrespective of neighborhood classification. CONCLUSIONS: This study highlights the salience of structural factors for contraceptive use and the need for continued examination of structural oppressions to inform health policy.

States' Abortion Laws Associated With Intimate Partner Violence-Related Homicide Of Women And Girls In The US, 2014-20.

Women who are pregnant or recently gave birth are significantly more likely to be killed by an intimate partner than nonpregnant, nonpostpartum women of reproductive age, implicating the risk of fatal violence conferred by pregnancy itself. The rapidly increasing passage of state legislation has restricted or banned access to abortion care across the US. We used the most recent and only source of population-based data to examine the association between state laws that restrict access to abortion and trends in intimate partner violence-related homicide among women and girls ages 10-44 during the period 2014-20. Using robust difference-in-differences ecologic modeling, we found that enforcement of each additional Targeted Regulation of Abortion Providers (TRAP) law was associated with a 3.4 percent increase in the rate of intimate partner violence-related homicide in this population. We estimated that 24.3 intimate partner violence-related homicides of women and girls ages 10-44 were associated with TRAP laws implemented in the states and years included in this analysis. Assessment of policies that restrict access to abortion should consider their potential harm to reproductive-age women through the risk for violent death.

Adverse Obstetric and Perinatal Outcomes Among Birthing People in Same-Sex and Different-Sex Relationships in Louisiana.

Purpose: We investigated sexual orientation disparities in several obstetric and perinatal outcomes in Louisiana and examined whether these disparities differed among Black, Latine, and White populations. Methods: We analyzed cross-sectional vital records data on singleton live births in Louisiana (2016-2022). Same-sex relationships (SSR) vs. different-sex relationships (DSR) were classified based on the sex of the parents listed on the birth certificate. Using modified Poisson regression, we estimated adjusted risk ratios and 95% confidence intervals among birthing persons in SSR vs. DSR for preterm birth (PTB), low birthweight (LBW), spontaneous labor, Cesarean delivery, gestational hypertension, and gestational diabetes. We examined within and across group disparities in models stratified by sexual orientation and race/ethnicity. Results: In the total birthing population, those in SSR experienced higher risk of gestational hypertension and gestational diabetes and were less likely to have spontaneous labor compared with persons in DSR. The risk of PTB and LBW was two-fold higher among Black birthing people in SSR compared with White birthing people in SSR and DSR. Latine birthing people in SSR experienced higher risk of gestational hypertension and gestational diabetes compared with their peers in DSR and White people in DSR. Some of these disparities were partially explained by including socioeconomic and health risk factors. Conclusion: Sexual orientation-related disparities exist across and within racial/ethnic groups among birthing people in Louisiana. Adopting an intersectional approach that considers the mutually constituted nature of heterosexism and racism is critical to addressing sexual orientation-related inequities in reproductive and perinatal health.

Unequal Spatial Consequences of Abortion Restrictions in Texas, 2021-2023.

Objectives. To demonstrate the spatially uneven effects of abortion restriction laws in Texas. Methods. We used network analysis to determine the change in distance to the nearest surgical abortion provider for 5253 Texas neighborhoods after the passing of Texas Senate Bill 8 (SB8; 2021) and the US Supreme Court's Dobbs v Jackson Women's Health Organization (2022) decision. We identified associations between key measures of neighborhood socioeconomic context and change in distance to providers using multivariable linear regression models. Results. After the Dobbs decision, Texas residents experienced an average change in distance to the nearest provider of 457 miles (SD = 179). Neighborhoods of concentrated disadvantage experienced the greatest increase in distance to abortion providers after SB8's passing, and neighborhoods with high levels of income inequality experienced the greatest increase in distance after the Dobbs decision. Conclusions. We document the rapidly changing abortion landscape in a highly restrictive state and show that women living in more disadvantaged and unequal areas are most affected by the increasing distance to providers. Public Health Implications. Our methods and findings will continue to be relevant in understanding the burden placed on women in areas where medical abortion has been restricted because of the Dobbs decision. (Am J Public Health. Published online ahead of print May 23, 2024:e1-e10. https://doi.org/10.2105/AJPH.2024.307652).

Investigating the Black Birth Experience: A Race-Stratified Analysis of Preterm Birth Risk and Exposure to Metropolitan Statistical Area-Level Police-Related Deaths, US 2018-2019.

Police-related violence may be a source of chronic stress underlying entrenched racial inequities in reproductive health in the USA. Using publicly available data on police-related fatalities, we estimated total and victim race-specific rates of police-related fatalities (deaths per 100,000 population) in 2018-2019 for Metropolitan Statistical Areas (MSA) and counties within MSAs in the USA. Rates were linked to data on live births by maternal MSA and county of residence. We fit adjusted log-Poisson models with generalized estimating equations and cluster-robust standard errors to estimate the relative risk of preterm birth associated with the middle and highest tertiles of police-related fatalities compared to the lowest tertile. We included a test for heterogeneity by maternal race/ethnicity and additionally fit race/ethnicity-stratified models for associations with victim race/ethnicity-specific police-related fatality rates. Fully adjusted models indicated significant adverse associations between police-related fatality rates and relative risk of preterm birth for the total population, non-Hispanic Black, and non-Hispanic White groups separately. Results confirm the role of fatal police violence as a social determinant of population health outcomes and inequities, including preterm birth.

Association of Food Desert Residency and Preterm Birth in the United States.

INTRODUCTION: Food deserts are a major public health concern. Inadequate access to healthy food has been associated with poor nutrition and the development of dietary related chronic conditions. OBJECTIVE: To determine the association between geographic access to nutritious food and preterm birth and whether gestational hypertension mediates this relationship. METHODS: Food access data was retrieved from the U.S. Department of Agriculture Food Access Research Atlas (2019) and used to quantify the percentage of Census tracts within each county that were food deserts: low-income tracts with limited access to grocery stores, supermarkets, or other sources of healthy, nutritious foods. These data were merged with US birth records from 2018 to 2019 by using the maternal county of residence (n = 7,533,319). We fit crude and adjusted logistic regression models with generalized estimating equations to determine the association between living in a food desert and the odds of preterm birth. We conducted a secondary within-group analysis by stratifying the fully adjusted model by race for non-Hispanic White and non-Hispanic Black birthing people. RESULTS: In the fully adjusted model, we found a dose-response relationship. As the prevalence of tract-level food deserts within counties increased, so did the likelihood of preterm birth (mid-range: odds ratio (OR) = 1.04, 95% confidence interval (C.I.) 1.01-1.07; high: OR = 1.07, 95% C.I. 1.03-1.11). Similar results were seen in the White-Black stratified models. However, a disparity remained as Black birthing people had the highest odds for preterm birth. Lastly, gestational hypertension appears to mediate the relationship between nutritious food access and preterm birth (natural indirect effect (NIE) = 1.01, 95% CI = 1.00, 1.01). CONCLUSION: It is salient, particularly for Black birthing people who experience high rates of adverse birth outcomes, that the role of food desert residency be explored within maternal and child health disparities.

Maternity Care Deserts in Louisiana and Breastfeeding Initiation.

BACKGROUND: Breastfeeding provides physical, psychological, and immunological benefits to both the mother and infant, but breastfeeding rates are suboptimal. The purpose of this study was to examine whether residing in a maternity care desert (a county with no hospital offering obstetric care and no OB/GYN or certified nurse midwife providers) was associated with lower breastfeeding rates among birthing people in Louisiana from 2019 to 2020. METHODS: Data provided by the March of Dimes were used to classify Louisiana parishes by level of access to maternity care. Using data on all live births provided by the Louisiana Office of Vital Records (n = 112,151), we fit adjusted modified Poisson regression models with generalized estimating equations and exploratory geospatial analysis to examine the association between place of residence and breastfeeding initiation and racial disparities in initiation. We conducted a secondary within-group analysis by fitting the fully adjusted model stratified by race/ethnicity for non-Hispanic white and non-Hispanic Black birthing people. RESULTS: We found that residing in a parish with limited (odds ratio [OR] = 0.87; 95% confidence interval [CI] [0.77, 0.99]) to no access (OR = 0.88; 95% CI [0.80, 0.97]) was significantly associated with lower breastfeeding initiation rates. The within-group analysis determined that both non-Hispanic Black and non-Hispanic white birthing people residing in a parish with limited or no maternity care access had lower breastfeeding initiation rates. CONCLUSION: Reducing rural and racial inequities in breastfeeding may require structural changes and investments in infrastructure to deliver pregnancy care.

Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis.

BACKGROUND: The exposome serves as a popular framework in which to study exposures from chemical and nonchemical stressors across the life course and the differing roles that these exposures can play in human health. As a result, data relevant to the exposome have been used as a resource in the quest to untangle complicated health trajectories and help connect the dots from exposures to adverse outcome pathways. OBJECTIVES: The primary aim of this methods seminar is to clarify and review preprocessing techniques critical for accurate and effective external exposomic data analysis. Scalability is emphasized through an application of highly innovative combinatorial techniques coupled with more traditional statistical strategies. The Public Health Exposome is used as an archetypical model. The novelty and innovation of this seminar's focus stem from its methodical, comprehensive treatment of preprocessing and its demonstration of the positive effects preprocessing can have on downstream analytics. DISCUSSION: State-of-the-art technologies are described for data harmonization and to mitigate noise, which can stymie downstream interpretation, and to select key exposomic features, without which analytics may lose focus. A main task is the reduction of multicollinearity, a particularly formidable problem that frequently arises from repeated measurements of similar events taken at various times and from multiple sources. Empirical results highlight the effectiveness of a carefully planned preprocessing workflow as demonstrated in the context of more highly concentrated variable lists, improved correlational distributions, and enhanced downstream analytics for latent relationship discovery. The nascent field of exposome science can be characterized by the need to analyze and interpret a complex confluence of highly inhomogeneous spatial and temporal data, which may present formidable challenges to even the most powerful analytical tools. A systematic approach to preprocessing can therefore provide an essential first step in the application of modern computer and data science methods. https://doi.org/10.1289/EHP12901.

Health care use and health consequences of geographic lack of access to abortion and maternity care.

BACKGROUND: Recent years have brought substantial declines in geographic access to abortion facilities and maternity care across the US. The purpose of this study was to identify the reproductive health consequences of living in a county without access to comprehensive reproductive health care services. METHODS: We analyzed National Center for Health Statistics data on all live births occurring in the US in 2020. We used data on locations of abortion facilities and availability of maternity care in order to classify counties by level of access to comprehensive reproductive health care services and defined comprehensive reproductive health care deserts as counties that did not have an abortion facility in the county or in any neighboring county and did not have any maternity care practitioners. We fit modified Poisson regression models with generalized estimating equations to estimate the degree to which living in a comprehensive reproductive health care desert was associated with receipt of timely and adequate prenatal care and risk of preterm birth, controlling for individual-level and county-level characteristics. RESULTS: In 2020, one third of counties in the US were comprehensive reproductive health care deserts (n = 1082), and 136,272 births occurred in these counties. In adjusted models, there was no difference in prenatal health care use (timeliness or adequacy of care) between persons in comprehensive reproductive health care deserts and those with full access to care, but the risk of preterm birth was significantly elevated (aRR =1.09, 95% CI = 1.06, 1.13). CONCLUSIONS: Lack of access to comprehensive reproductive health care services may increase the incidence of preterm birth.

Diet Quality and Sleep Characteristics in Midlife: The Bogalusa Heart Study.

BACKGROUND: Sleep and diet contribute to cardiometabolic disease, but evidence is sparse for the association between these behaviors. This study analyzed the cross-sectional relationship between diet quality and multiple sleep outcomes in the Bogalusa Heart Study (BHS). METHODS: Diet and sleep characteristics, including insomnia and sleep apnea symptoms, were measured with validated questionnaires. Poisson regression using generalized estimating equations with a log link estimated prevalence rate ratios (PRR) of sleep outcomes by dietary pattern scores (quintile (Q) and per SD). Models were adjusted for body mass index (BMI), multi-level socioeconomic factors, physical activity, depressive symptoms, and other potential confounders. RESULTS: In 824 participants, higher diet quality, measured by the Alternate Healthy Eating Index-2010, was associated with lower sleep apnea risk score after adjustment (PRR [95% confidence interval (CI)] Q5 vs. Q1: 0.59 [0.44, 0.79], per SD increase: 0.88 [0.81, 0.95], p-trend < 0.0001). There were no statistically significant associations with the Healthy Eating Index 2015 or the Alternate Mediterranean dietary patterns, or for insomnia symptoms or a healthy sleep score. CONCLUSIONS: Higher diet quality, after adjustment for BMI, was associated with a lower sleep apnea risk score in a cohort with substantial minority representation from a semi-rural, lower-income community.

Associations Between State and Local Government Spending and Pregnancy-Related Mortality in the U.S.

INTRODUCTION: There is limited evidence on how government spending is associated with maternal death. This study investigates the associations between state and local government spending on social and healthcare services and pregnancy-related mortality among the total, non-Hispanic Black, Hispanic, and non-Hispanic White populations. METHODS: State-specific total population and race/ethnicity-specific 5-year (2015-2019) pregnancy-related mortality ratios were estimated from annual natality and mortality files provided by the National Center for Health Statistics. Data on state and local government spending and population-level characteristics were obtained from U.S. Census Bureau surveys. Generalized linear Poisson regression models with robust SEs were fitted to estimate adjusted rate ratios and 95% CIs associated with proportions of total spending allocated to social services and healthcare domains, adjusting for state-level covariates. All analyses were completed in 2021-2022. RESULTS: State and local government spending on transportation was associated with 11% lower overall pregnancy-related mortality (adjusted rate ratio=0.89, 95% CI=0.83, 0.96) and 9%-12% lower pregnancy-related mortality among the racial/ethnic groups. Among spending subdomains, expenditures on higher education, highways and roads, and parks and recreation were associated with lower pregnancy-related mortality rates in the total population (adjusted rate ratio=0.90, 95% CI=0.86, 0.94; adjusted rate ratio=0.87, 95% CI=0.81, 0.94; and adjusted rate ratio=0.68, 95% CI=0.49, 0.95, respectively). These results were consistent among the racial/ethnic groups, but patterns of associations with pregnancy-related mortality and other spending subdomains differed notably between racial/ethnic groups. CONCLUSIONS: Investing more in local- and state-targeted spending in social services may decrease the risk for pregnancy-related mortality, particularly among Black women.

Neighborhood Proactive Policing and Racial Inequities in Preterm Birth in New Orleans, 2018‒2019.

Objectives. To measure neighborhood exposure to proactive policing as a manifestation of structural racism and its association with preterm birth. Methods. We linked all birth records in New Orleans, Louisiana (n = 9102), with annual census tract rates of proactive police stops using data from the New Orleans Police Department (2018-2019). We fit multilevel Poisson models predicting preterm birth across quintiles of stop rates, controlling for several individual- and tract-level covariates. Results. Nearly 20% of Black versus 8% of White birthing people lived in neighborhoods with the highest rates of proactive police stops. Fully adjusted models among Black birthing people suggest the prevalence of preterm birth in the neighborhoods with the highest proactive policing rates was 1.41 times that of neighborhoods with the lowest rates (95% confidence interval = 1.04, 1.93), but associations among White birthing people were not statistically significant. Conclusions. Taken together with previous research, high rates of proactive policing likely contribute to Black‒White inequities in reproductive health. Public Health Implications. Proactive policing is widely implemented to deter violence, but alternative strategies without police should be considered to prevent potential adverse health consequences. (Am J Public Health. 2023;113(S1):S21-S28. https://doi.org/10.2105/AJPH.2022.307079).

Income Inequality and Pregnancy-Associated Homicide in the US: A Longitudinal, State-Level Analysis.

Pregnancy-associated homicide remains an understudied yet critical issue. Using restricted use mortality files provided by the National Center for Health Statistics and the National Violent Death Reporting System, annual state-level pregnancy-associated homicide ratios were estimated as the count of deaths divided by the number of live births. The exposure, the state Gini index, was categorized into tertiles to compare states by levels of income inequality. In the final adjusted longitudinal linear model, those who experienced the greatest amount of income inequality had a significant 1.28 per 100,000 homicide rate when compared to the lowest income inequality tertile.

Diet quality in young adulthood and sleep at midlife: a prospective analysis in the Bogalusa Heart Study.

Background: Diet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though evidence for how they associate with each is scarce. This study aimed to determine the association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS). Methods: This prospective study included 593 BHS subjects with dietary assessment at the 2001-2002 visit and sleep questionnaire responses from the 2013-2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested. Results: Higher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower risk of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower risk of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the risk as those in Q1 (95% CI: 0.39, 0.75), and there was a significant decreasing risk trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up. Conclusions: A healthy diet was associated with a lower risk of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.

US county-level prevalence and spatial distribution of optimal birth outcomes 2018-2019.

A shift in focus towards healthy reproductive outcomes may reveal opportunities for novel interventions and strategies to promote optimal health. Using variables from the National Center for Health Statistics restricted use natality files, we calculated Empirical Bayes smoothed (EBS) rates of optimal birth for the all live births-both overall and by maternal race/ethnicity-by applying the smoothing tool in GeoDa version 1.18.0.10 We defined counties achieving greater racial birth equity as those where the overall EBS optimal birth rate was greater than the national 75th percentile and the absolute difference between maternal racial/ethnic categories was smaller than the national 25th percentile difference. During the study period, 49.80% of overall births could be classified as an optimal birth according to the study definition. Of the 3140 US counties, only 282 (8.98%) appeared to advance White-Black equity in optimal births, and 205 (6.53%) appeared to advance White-Hispanic equity in optimal births. In the effort improve maternal health, we should focus not only on the absence of negative outcomes, but also the occurrence of positive outcomes. Our analytic results suggest that optimal births can be measured and that geographic inequities by race occur.

Eviction as a social determinant of pregnancy health: County-level eviction rates and adverse birth outcomes in the United States.

Access to housing is an important manifestation of structural racism and discrimination, and birth outcomes show wide health disparities, but few studies have examined eviction and birth outcomes. This multilevel study merged data from the Eviction Lab on 2015 eviction judgements and records with the National Center for Health Statistics natality dataset. The analytic sample included 2,950,965 births across 5924 counties in 45 states. Outcomes of interest were low birthweight (<2500 g; LBW) and preterm birth (<37 weeks gestation; PTB). We fit generalised estimating equations to account for clustering within county and a logistic distribution to estimate the odds ratio of LBW or PTB associated with the county-level eviction rate, with control for individual- and county-level characteristics. Results were calculated separately for non-Hispanic white, non-Hispanic black and Hispanic mothers. After adjustment for covariates, living in the counties in the highest quartile of eviction was associated with a 12-13% increased odds of LBW. The magnitude of association with PTB was not as large. Non-Hispanic black women were more likely to live in counties in the highest quartile of eviction rate (43%, vs. 23% for white women and 23% for Hispanic women) or filing rate (44%, vs. 23% for white and 18% for Hispanic). The association between eviction rate and LBW/PTB was strongest for black women, while there was essentially no association among Hispanic women. Housing instability may be a key social determinant of poor birth outcomes and should be considered in state and local maternal and child health policy and programming.

State-Level Socioeconomic Racial Inequity and Food Insecurity in the U.S.

INTRODUCTION: Racial inequities in food insecurity have been documented for the past 2 decades in the U.S., with the prevalence of food insecurity among Black households being 2-3 times higher than that among White households across time. The purpose of this study was to determine the association between socioeconomic indicators of structural racism at the state level and food insecurity among White and Black households in the U.S. METHODS: This study is a secondary analysis of pooled, cross-sectional data from the Current Population Survey and the American Community Survey, 2015-2019 (N=158,551 Black and White households). Data analysis occurred in 2021-2022. The outcome was household food insecurity, and the exposure was structural racism indicators, operationalized as state-level racial inequities in income, earnings, education, unemployment, and home ownership. Individual-, household-, and state-level sociodemographic covariates were included. RESULTS: Among Black households, state-level racial inequities in income, unemployment, and home ownership were associated with 34% (OR=1.34; 95% CI=1.05, 1.70), 14% (OR=1.14; 95% CI=1.02, 1.28), and 11% (OR=1.11; 95% CI=1.05, 1.16) higher odds of food insecurity, respectively. For White households, state-level racial inequities in income, education, unemployment, and home ownership were associated with 21% (OR=0.79; 95% CI=0.63, 0.98), 27% (OR=0.73; 95% CI=0.66, 0.85), 10% (OR=0.90; 95% CI=0.82, 0.98), and 8% (OR=0.92; 95% CI=0.89, 0.95) lower odds of food insecurity, respectively. CONCLUSIONS: Structural racism may be a key driver of food insecurity among Black households and may be protective against food insecurity among White households. Implementing policies addressing state-level racial inequity in socioeconomic indicators could be effective at reducing racial inequities in food insecurity.

Neighborhood Blighted Property Removal and 311 Calls for Non-Emergency Services: A Test of a Marker of Social Control.

Many studies have demonstrated that collective efficacy is associated with positive health outcomes, lower crime, and violence in urban communities, and residents' emotional connection to their community. Remediation of blighted properties has been theoretically linked to increases in collective efficacy. The purpose of this study was to examine the impact of blighted property remediation on city non-emergency 311 calls for public incivilities and deterioration, as potential markers of collective efficacy. We used a quasi-experimental design to test whether 311 calls for service changed around remediated vacant lots in New Orleans, Louisiana, United States, many of which were left vacant after Hurricane Katrina in 2005. In six city neighborhoods eligible for blighted property remediation as part of a city program, 203 treated vacant lots were matched 1:3 without replacement to control lots that were eligible for but did not receive treatment. This yielded a total of 812 vacant lots partitioned within 48 months, or 38,976 lot-months. Controls were in the same New Orleans neighborhoods as their matched treatment lots but were at least 250 feet away to minimize contamination. Overall difference-in-differences models detected postintervention declines in calls related to dumping and garbage, and slight but mostly non-significant changes in calls between intervention and control lots in all but calls for dumping and vehicles. Blighted property remediation may have an impact on dumping and garbage, which is important. Despite being geographically specific, low-cost and longitudinal, the nature of 311 calls and structural and historic factors at play in both the concentration of vacant properties in communities and residents' willingness to call must be considered. Further analyses of changes in 311 data and additional qualitative inquiry are warranted to more fully determine the utility of these data.

Trends in Pregnancy-Associated Homicide, United States, 2020.

Objectives. To estimate the national pregnancy-associated homicide rate in 2020 and to characterize patterns of victimization. Methods. Using a retrospective analysis of the 2020 US national mortality file, I identified all homicides of women who were pregnant or within 1 year of the end of pregnancy. Descriptive statistics characterized these victims, and I calculated annual pregnancy-associated homicide rates (deaths per 100 000 live births) for comparisons with 2018 and 2019. I estimated the added risk conferred by pregnancy in 2020 by comparing the pregnancy-associated homicide rate to homicide in the nonpregnant, nonpostpartum population of females aged 10 to 44 years. Results. There were 5.23 pregnancy-associated homicides per 100 000 live births in 2020, a notable increase from previous years. Rates were highest among adolescents and non-Hispanic Black women. Eighty percent of incidents involved firearms. The risk of homicide was 35% greater for pregnant and postpartum women than for their nonpregnant, nonpostpartum counterparts, who did not experience as large an increase from previous years. Conclusions. Pregnancy-associated homicide substantially increased in 2020. Public Health Implications. Policies to address domestic and community violence against women are urgently needed. (Am J Public Health. 2022;112(9):1333-1336. https://doi.org/10.2105/AJPH.2022.306937).