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Objective: Concerns about differences in registration practices across countries have limited the use of routine data for international very preterm birth (VPT) rate comparisons.Design: Population-based study.Setting: Twenty-seven European countries, the United States, Canada and Japan in 2010.Population: A total of 9 376 252 singleton births.Method: We requested aggregated gestational age data on live births, stillbirths and terminations of pregnancy (TOP) before 32 weeks of gestation, and information on registration practices for these births. We compared VPT rates and assessed the impact of births at 22-23 weeks of gestation, and different criteria for inclusion of stillbirths and TOP on country rates and rankings.Main Outcome Measures: Singleton very preterm birth rate, defined as singleton stillbirths and live births before 32 completed weeks of gestation per 1000 total births, excluding TOP if identifiable in the data source.Results: Rates varied from 5.7 to 15.7 per 1000 total births and 4.0 to 11.9 per 1000 live births. Country registration practices were related to percentage of births at 22-23 weeks of gestation (between 1% and 23% of very preterm births) and stillbirths (between 6% and 40% of very preterm births). After excluding births at 22-23 weeks, rate variations remained high and with a few exceptions, country rankings were unchanged.Conclusions: International comparisons of very preterm birth rates using routine data should exclude births at 22-23 weeks of gestation and terminations of pregnancy. The persistent large rate variations after these exclusions warrant continued surveillance of VPT rates at 24 weeks and over in high-income countries.Tweetable Abstract: International comparisons of VPT rates should exclude births at 22-23 weeks of gestation and terminations of pregnancy. [ABSTRACT FROM AUTHOR]

Objectives: To examine US in-hospital exclusive breastfeeding (EBF) and the associations with Baby-Friendly designation and neighborhood sociodemographic factors., Methods: Hospital data from the 2018 Maternity Practices in Infant Nutrition and Care survey were linked to hospital zip code tabulation area (ZCTA) sociodemographic data from the 2014-2018 American Community Survey (n = 2,024). The percentages of residents in the hospital ZCTA were dichotomized based on the relative mean percentage of the hospital's metropolitan area, which were exposure variables (high/low Black hospitals, high/low poverty hospitals, high/low educational attainment hospitals) along with Baby-Friendly designation. Using linear regression, we examined the associations and effect measure modification between Baby-Friendly designation and hospital sociodemographic factors with in-hospital EBF prevalence., Results: US mean in-hospital EBF prevalence was 55.1%. Baby-Friendly designation was associated with 9.1% points higher in-hospital EBF prevalence compared to non-designated hospitals [95% confidence interval (CI): 7.0, 11.2]. High Black hospitals and high poverty hospitals were associated with lower EBF prevalence (difference= -3.3; 95% CI: -5.1, -1.4 and - 3.8; 95% CI: -5.7, -1.8). High educational attainment hospitals were associated with higher EBF prevalence (difference = 6.7; 95% CI: 4.1, 9.4). Baby-Friendly designation was associated with significant effect measure modification of the in-hospital EBF disparity attributed to neighborhood level poverty (4.0% points higher in high poverty/Baby-Friendly designated hospitals than high poverty/non-Baby-Friendly designated hospitals)., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Disparities in maternal-child health outcomes by race and ethnicity highlight structural differences in the opportunity for optimal health in the United States. Examples of these differences include access to state-level social policies that promote maternal-child health. States vary in their racial and ethnic composition as a result of the complex history of policies and laws related to slavery, Indigenous genocide and relocation, segregation, immigration, and settlement in the United States. States also vary in the social policies they enact. As a result, correlations exist between the demographic makeup of a state's population and the presence or absence of social policies in that state. These correlations become a mechanism by which racial and ethnic disparities in maternal-child health outcomes can operate. In this commentary, we use the example of 3 labor-related policies actively under consideration at state and federal levels (paid parental leave, paid sick leave, and reasonable accommodations during pregnancy) to demonstrate how correlations between state demographics and presence of these state policies could cause or exacerbate racial and ethnic disparities in maternal-child health outcomes. We conclude with a call for researchers to consider how the geographic distribution of racialized populations and state policies could contribute to maternal-child health disparities., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: The increasing focus of population surveillance and research on maternal-and not only fetal and infant-health outcomes is long overdue. The United States maternal mortality rate is higher than any other high-income country, and Georgia is among the highest rates in the country. Severe maternal morbidity (SMM) is conceived of as a "near miss" for maternal mortality, is 50 times more common than maternal death, and efforts to systematically monitor SMM rates in populations have increased in recent years. Much of the current population-based research on SMM has occurred in coastal states or large cities, despite substantial geographical variation with higher maternal and infant health burdens in the Southeast and rural regions., Methods: This population-based study uses hospital discharge records linked to vital statistics to describe the epidemiology of SMM in Georgia between 2009 and 2020., Results: Georgia had a higher SMM rate than the United States overall (189.2 vs. 144 per 10,000 deliveries in Georgia in 2014, the most recent year with US estimates). SMM was higher among racially minoritized pregnant persons and those at the extremes of age, of lower socioeconomic status, and with comorbid chronic conditions. SMM rates were 5 to 6 times greater for pregnant people delivering infants <1500 grams or <32 weeks' gestation as compared with those delivering normal weight or term infants. Since 2015, SMM has increased in Georgia., Conclusion: SMM represents a collection of life-threatening emergencies that are unevenly distributed in the population and require increased attention. This descriptive analysis provides initial guidance for programmatic interventions intending to reduce the burden of SMM and, subsequently, maternal mortality in the US South., Competing Interests: The authors declare no conflict of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)

Objectives: The aim of this study was to assess the association between race and ethnicity and admission to intermediate (IMCUs) or intensive care units (ICUs) among hospitalized patients., Methods: Using Florida hospital discharge data from the Agency for Healthcare Research and Quality-sponsored State Inpatient Database in 2017, we assessed the relationship between race (White, Black, Other) and Hispanic ethnicity and IMCU or ICU admission. Demographic covariates included age, sex, quartile of household income for patient ZIP code, insurance status, and patient residence. An adjusted model assessed the association between race and ethnicity and IMCU or ICU admission using log binomial regression with generalized estimating equations after controlling for demographic characteristics and the Elixhauser Comorbidity Index., Results: After controlling for demographics and comorbidities, the prevalence of IMCU or ICU admission was higher among non-Hispanic Blacks (adjusted prevalence ratio [aPR] 1.04; 95% confidence interval [CI] 1.02-1.05) and non-Hispanic patients of other races (aPR 1.03; 95% CI 1.01-1.04) compared with non-Hispanic Whites. The prevalence of IMCU or ICU use was lower among Hispanic Whites (aPR 0.98; 95% CI 0.86-1.00) and Hispanics of other races (aPR 0.96; 95% CI 0.95-0.98) compared with non-Hispanic Whites after controlling for other demographic characteristics and comorbidities., Conclusions: Among hospitalized patients, racial minorities are slightly more likely to use higher levels of care, whereas Hispanic patients are generally slightly less likely than non-Hispanic White patients to use higher levels of care. Further evaluation is needed to identify reasons for disparate IMCU or ICU admission.

Objectives: Examine childhood obesity incidence across recent cohorts., Methods: We examined obesity incidence and prevalence across 2 cohorts of children in the United States 12 years apart using the Early Childhood Longitudinal Studies, parallel data sets following the kindergarten cohorts of 1998 and 2010 with direct anthropometric measurements at multiple time points through fifth grade in 2004 and 2016, respectively. We investigated annualized incidence rate and cumulative incidence proportion of obesity (BMI z-score ≥95th percentile based on Centers for Disease Control and Prevention weight-for-age z-scores)., Results: Among children who did not have obesity at kindergarten entry, there was a 4.5% relative increase in cumulative incidence of new obesity cases by end of fifth grade across cohorts (15.5% [14.1%-16.9%] vs 16.2% [15.0%-17.3%]), though annual incidence did not change substantially. The risk of incident obesity for children who had normal BMI at kindergarten entry stayed the same, but the risk of incident obesity among overweight kindergartners increased slightly. Social disparities in obesity incidence expanded: incidence of new cases during primary school among non-Hispanic Black children increased by 29% (95% confidence interval, 25%-34%), whereas risk for other race-ethnic groups plateaued or decreased. Children from the most socioeconomically disadvantaged households experienced 15% higher cumulative incidence across primary school in 2010 than 1998., Conclusions: Incidence of childhood obesity was higher, occurred at younger ages, and was more severe than 12 years previous; thus, more youths may now be at risk for health consequences associated with early onset of obesity., (Copyright © 2022 by the American Academy of Pediatrics.)

Purpose: Passively generated cell-phone location ("mobility") data originally intended for commercial use has become frequently used in epidemiologic research, notably during the COVID-19 pandemic to study the impact of physical-distancing recommendations on aggregate population behavior (e.g., average daily mobility). Given the opaque nature of how individuals are selected into these datasets, researchers have cautioned that their use may give rise to selection bias, yet little guidance exists for assessing this potential threat to validity in mobility-data research. Through an example analysis of cell-phone-derived mobility data, we present a set of conditions to guide the assessment of selection bias in measures comparing aggregate mobility patterns over time and between groups., Methods: We specifically consider bias in measures comparing group-level mobility in the same group (difference, ratio, percent difference) and between groups (difference in differences, ratio of ratios, ratio of percent differences). We illustrate no-bias conditions in these measures through an example comparing block-group-level mobility between income groups in United States metro areas before (January 1st-March 10, 2020) and after (March 11th-April 19th, 2020) the day COVID-19 was declared a pandemic., Results: Within-group contrasts describing mobility over time, especially for the higher-income decile, were expected to be most resistant to bias during the example study period., Conclusions: The presented conditions can be used to assess the susceptibility to selection bias of group-level measures comparing mobility. Importantly, they can be used even without knowledge of the degree of bias in each group at each time point. We further highlight links between no-bias principles originating in epidemiology and economics, showing that certain assumptions (e.g., parallel trends) can apply to biases beyond their original application., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objective: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators., Methods: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortality Surveillance System during 2011-2016 for non-Hispanic Black, Hispanic (all races), and non-Hispanic White women aged 15-44 years. The exposures included 31 conceptually-grounded, county-specific sociospatial indicators that were collected from publicly available data sources and categorized into domains of demographic; general, reproductive, and behavioral health; social capital and support; and socioeconomic contexts. We calculated the absolute difference of county-level pregnancy-related mortality ratios (deaths per 100,000 live births) per 1-unit increase in the median absolute difference between women living in counties with higher compared with lower levels of each sociospatial indicator overall and stratified by race and ethnicity., Results: Pregnancy-related mortality varied across counties and by race and ethnicity. Many sociospatial indicators were associated with county-specific pregnancy-related mortality ratios independent of maternal age, population size, and Census region. Across domains, the most harmful indicators were percentage of low-birth-weight births (absolute ratio difference [RD] 6.44; 95% CI 5.36-7.51), percentage of unemployed adults (RD 4.98; 95% CI 3.91-6.05), and food insecurity (RD 4.92; 95% CI 4.14-5.70). The most protective indicators were higher median household income (RD -2.76; 95% CI -3.28 to -2.24), percentage of college-educated adults (RD -2.28; 95% CI -2.81 to -1.75), and percentage of owner-occupied households (RD -1.66; 95% CI -2.29 to -1.03). The magnitude of these associations varied by race and ethnicity., Conclusion: This analysis identified sociospatial indicators of pregnancy-related mortality and showed an association between pregnancy-related deaths and place of residence overall and stratified by race and ethnicity. Understanding county-level context associated with pregnancy-related mortality may be an important step towards building public health evidence to inform action to reduce pregnancy-related mortality at local levels., Competing Interests: Financial Disclosure The authors did not report any potential conflicts of interest., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.)

Policy Points Policies that increase county income levels, particularly for middle-income households, may reduce low birth weight rates and shrink disparities between Black and White infants. Given the role of aggregate maternal characteristics in predicting low birth weight rates, policies that increase human capital investments (e.g., funding for higher education, job training) could lead to higher income levels while improving population birth outcomes. The association between county income levels and racial disparities in low birth weight is independent of disparities in maternal risks, and thus a broad set of policies aimed at increasing income levels (e.g., income supplements, labor protections) may be warranted., Context: Low birth weight (LBW; <2,500 grams) and infant mortality rates vary among place and racial group in the United States, with economic resources being a likely fundamental contributor to these disparities. The goals of this study were to examine time-varying county median income as a predictor of LBW rates and Black-White LBW disparities and to test county prevalence and racial disparities in maternal sociodemographic and health risk factors as mediators., Methods: Using national birth records for 1992-2014 from the National Center for Health Statistics, a total of approximately 27.4 million singleton births to non-Hispanic Black and White mothers were included. Data were aggregated in three-year county-period observations for 868 US counties meeting eligibility requirements (n = 3,723 observations). Sociodemographic factors included rates of low maternal education, nonmarital childbearing, teenage pregnancy, and advanced-age pregnancy; and health factors included rates of smoking during pregnancy and inadequate prenatal care. Among other covariates, linear models included county and period fixed effects and unemployment, poverty, and income inequality., Findings: An increase of $10,000 in county median income was associated with 0.34 fewer LBW cases per 100 live births and smaller Black-White LBW disparities of 0.58 per 100 births. Time-varying county rates of maternal sociodemographic and health risks mediated the association between median income and LBW, accounting for 65% and 25% of this estimate, respectively, but racial disparities in risk factors did not mediate the income association with Black-White LBW disparities. Similarly, county median income was associated with very low birth weight rates and related Black-White disparities., Conclusions: Efforts to increase income levels-for example, through investing in human capital, enacting labor union protections, or attracting well-paying employment-have broad potential to influence population reproductive health. Higher income levels may reduce LBW rates and lead to more equitable outcomes between Black and White mothers., (© 2021 Milbank Memorial Fund.)

Background: The US pregnancy-related mortality ratio has not improved over the past decade and includes striking disparities by race and ethnicity and by state. Understanding differences in pregnancy-related mortality across and within urban and rural areas can guide the development of interventions for preventing future pregnancy-related deaths., Objective: We sought to compare pregnancy-related mortality across and within urban and rural counties by race and ethnicity and age., Study Design: We conducted a descriptive analysis of 3747 pregnancy-related deaths during 2011-2016 (the most recent available data) with available zone improvement plan code or county data in the Pregnancy Mortality Surveillance System, among Hispanic and non-Hispanic White, Black, American Indian or Alaska Native, and Asian or Pacific Islander women aged 15 to 44 years. We aggregated data by US county and grouped counties per the National Center for Health Statistics Urban-Rural Classification Scheme for Counties. We used R statistical software, epitools, to calculate the pregnancy-related mortality ratio (number of pregnancy-related deaths per 100,000 live births) for each urban-rural grouping, obtain 95% confidence intervals, and perform exact tests of ratio comparisons using the Poisson distribution., Results: Of the total 3747 pregnancy-related deaths analyzed, 52% occurred in large metro counties, and 7% occurred in noncore (rural) counties. Large metro counties had the lowest pregnancy-related mortality ratio (14.8; 95% confidence interval, 14.2-15.5), whereas noncore counties had the highest (24.1; 95% confidence interval, 21.4-27.1), including race and ethnicity and age groups. Pregnancy-related mortality ratio age disparities increased with rurality. Women aged 25 to 34 years and 35 to 44 years living in noncore counties had pregnancy-related mortality ratios 1.5 and 3 times higher, respectively, than women of the same age groups in large metro counties. Within each urban-rural category, pregnancy-related mortality ratios were higher among non-Hispanic Black women than non-Hispanic White women. Non-Hispanic American Indian or Alaska Native pregnancy-related mortality ratios in small metro, micropolitan, and noncore counties were 2 to 3 times that of non-Hispanic White women in the same areas., Conclusion: Although more than half of pregnancy-related deaths occurred in large metro counties, the pregnancy-related mortality ratio rose with increasing rurality. Disparities existed in urban-rural categories, including by age group and race and ethnicity. Geographic location is an important context for initiatives to prevent future deaths and eliminate disparities. Further research is needed to better understand reasons for the observed urban-rural differences and to guide a multifactorial response to reduce pregnancy-related deaths., (Published by Elsevier Inc.)

Introduction: Limited existing research suggests that immigration climate and enforcement practices represent a social determinant of health for immigrants, their families, and communities. However, national research on the impact of specific policies is limited. The goal of this article is to estimate the effect of county-level participation in a 287(g) immigration enforcement agreement on very preterm birth (VPTB, <32 weeks' gestation) rates between 2005-2016 among US-born and foreign-born Hispanic women across the United States., Methods: We fit spatial Bayesian models to estimate the effect of local participation in a 287(g) program on county VPTB rates, accounting for variation by maternal nativity, county ethnic density, and controlling for individual specific Hispanic background and nativity and county-level confounders., Results: While there was no global effect of county participation in a 287(g) program on county VPTB rates, rates were slightly increased in some counties, primarily in the Southeast (Virginia, North Carolina, South Carolina)., Future Directions: Future research should consider the mechanisms through which immigration policies and enforcement may impact health of both immigrants and wider communities., Competing Interests: Competing Interests: None declared., (Copyright © 2021, Ethnicity & Disease, Inc.)

Highly public anti-Black violence in the United States may cause widely experienced distress for Black Americans. This study identifies 49 publicized incidents of racial violence and quantifies national interest based on Google searches; incidents include police killings of Black individuals, decisions not to indict or convict the officer involved, and hate crime murders. Weekly time series of population mental health are produced for 2012 through 2017 using two sources: 1) Google Trends as national search volume for psychological distress terms and 2) the Behavioral Risk Factor Surveillance System (BRFSS) as average poor mental health days in the past 30 d among Black respondents (mean weekly sample size of 696). Autoregressive moving average (ARMA) models accounted for autocorrelation, monthly unemployment, season and year effects, 52-wk lags, news-related searches for suicide (for Google Trends), and depression prevalence and percent female (for BRFSS). National search interest varied more than 100-fold between racial violence incidents. Black BRFSS respondents reported 0.26 more poor mental health days during weeks with two or more racial incidents relative to none, and 0.13 more days with each log 10 increase in national interest. Estimates were robust to sensitivity tests, including controlling for monthly number of Black homicide victims and weekly search interest in riots. As expected, racial incidents did not predict average poor mental health days among White BRFSS respondents. Results with national psychological distress from Google Trends were mixed but generally unsupportive of hypotheses. Reducing anti-Black violence may benefit Black Americans' mental health nationally., Competing Interests: The authors declare no competing interest.

Purpose: Oral emtricitabine/tenofovir disoproxil fumarate was approved for use as pre-exposure prophylaxis (PrEP) by the U.S. Food and Drug Administration in 2012. We used national pharmacy data to examine trends of PrEP use in U.S. counties from 2012 to 2018., Methods: Using multi-level small-area spatio-temporal modeling, we calculated the estimated annual percentage change (EAPC) in prevalence of PrEP use in the general population from 2012 to 2018. We also used a proxy measure for prevalence of PrEP use among men who have sex with men (MSM) to evaluate trends of use among MSM, the PrEP use-to-MSM ratio (PmR) or number of male PrEP users per 1000 MSM population., Results: The prevalence of PrEP use and PmR increased (EAPC range: (+26.9%, +71.0%) and (+28.4%, +158.7%), respectively) in all counties with varying magnitude of increase. Counties of the Midwest and the upper South and upper West had the slowest increase in prevalence of PrEP use (EAPC range: (+26.9%; +52.9%)). Counties of the northern part of the South had the lowest PmR (EAPC range: (+28.4%; +76.0%)). Counties of the most populous core-based statistical areas had a relatively faster increase in population prevalence of PrEP use but slower increase in PmR., Conclusions: All counties in the U.S. have witnessed an increase in PrEP use with important geographic variabilities. Identifying areas with slow improvement in PrEP use, as well as "model counties" with the fastest pace of progress in PrEP coverage, is critical to inform local and state-level policies and program evaluation for PrEP scale up, particularly among MSM at higher risk for HIV., (Copyright © 2020 Elsevier Inc. All rights reserved.)

OBJECTIVE. The purpose of this study was to analyze recent trends in abdominal imaging utilization in the Medicare population. MATERIALS AND METHODS. Medicare Part B databases for 2004-2016 were reviewed, and all Current Procedural Terminology codes pertaining to noninvasive imaging of the abdomen and pelvis were identified. Codes were grouped into six categories: CT and CT angiography (CTA), MRI and MR angiography (MRA), ultrasound, radionuclide imaging, radiography, and gastrointestinal fluoroscopy. Annual utilization rates per 1000 Medicare beneficiaries were calculated. Medicare physician specialty codes were used to identify studies performed by radiologists versus nonradiologist physicians. Reimbursements were determined. RESULTS. Total abdominal imaging utilization decreased from 558.0 examinations per 1000 Medicare beneficiaries in 2004 to 441.9 in 2016 (-20.8%). CT and CTA examinations increased by 22.5% from 2004 to 2010, followed by a sharp drop in 2011 caused by code bundling. From 2011 to 2016, CT and CTA use increased by only 7.2%. Radiography utilization decreased from 129.6 examinations per 1000 Medicare beneficiaries in 2004 to 91.5 in 2016 (-29.4%). Radionuclide studies decreased from 14.0 to 9.5 (-32.1%), and gastrointestinal fluoroscopy decreased from 37.8 examinations to 22.5 (-40.5%). Utilization of ultrasound increased slightly (1.5%), whereas MRI and MRA utilization sharply increased on a percentage basis (81.2%). Reimbursements peaked in 2009 at $1.704 billion, dropped substantially in 2011 because of code bundling, and remained relatively stable thereafter. The radiologists' market share of abdominal imaging was approximately 87% in both 2004 and 2016. CONCLUSION. Abdominal imaging utilization rates have declined in recent years, in part due to code bundling, but also largely because of a decrease in the use of abdominal radiography, gastrointestinal fluoroscopy, and nuclear imaging. Reimbursements have also declined. This study also showed that most of the abdominal imaging was performed by radiologists.

Purpose: HIV pre-exposure prophylaxis (PrEP) is highly efficacious, and yet most individuals indicated for it are not currently using it. To provide guidance for health policymakers, researchers, and community advocates, we developed county-level PrEP use estimates and assessed locality and policy associations., Methods: Using data from a national aggregator, we applied a validated crosswalk procedure to generate county-level estimates of PrEP users in 2018. A multilevel Poisson regression explored associations between PrEP use and (1) state policy variables of Medicaid expansion and state Drug Assistance Programs (PrEP-DAPs) and (2) county-level characteristics from the U.S. Census Bureau. Outcomes were PrEP per population (prevalence) and PrEP-to-need ratio (PnR), defined as the ratio of PrEP users per new HIV diagnosis. Higher levels of PrEP prevalence or PnR indicate more PrEP users relative to the total population or estimated need, respectively., Results: Our 2018 county-level data set included a total of 188,546 PrEP users in the United States. Nationally, PrEP prevalence was 70.3/100,000 population and PnR was 4.9. In an adjusted model, counties with a 5% higher proportion of black residents had 5% lower PnR (rate ratio (RR): 0.95, 95% confidence interval (CI): 0.93, 0.96). Similarly, counties with higher concentration of residents uninsured or living in poverty had lower PnR. Relative to states without Medicaid expansion or PrEP-DAPs, states with only one of those programs had 25% higher PrEP prevalence (RR: 1.25, 95% CI: 1.09, 1.45), and states with both programs had 99% higher PrEP prevalence (RR: 1.99, 95% CI: 1.60, 2.48). There was a significant linear trend across the three policy groups, and similar findings for the relation between PnR and the policy groups., Conclusions: In a data set comprising approximately 80% of PrEP users in the United States, we found that Medicaid expansion and PrEP-DAPs were associated with higher PrEP use in states that adopted those policies, after controlling for potential confounders. Future research should identify which components of PrEP support programs have the most success and how to best promote PrEP among groups most impacted by the epidemic. States should support the admirable health decisions of their residents to get on PrEP by implementing policies that facilitate access., (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)

Purpose: Pre-exposure prophylaxis (PrEP) is a pillar of the US Department of Health and Human Services "Ending the HIV Epidemic" (EHE) initiative in 50 EHE jurisdictions (48 U.S. counties and two U.S. cities) and seven U.S. states with high numbers of HIV diagnoses rates in rural areas. Current data systems do not provide data on PrEP uptake in counties or cities., Methods: We report on PrEP users at the county level. Data from a large, commercial pharmacy database were used; we applied the U.S. Census Bureau's method to allocate PrEP users within a ZIP3 into counties and validated the results. We report counts and rates of PrEP users in 2018 for all EHE jurisdictions. We used joinpoint regression to model the estimated annual percent change in PrEP use for each jurisdiction and state., Results: 93,156 people in the 50 EHE jurisdictions used PrEP in 2018; 94% were men and 39% were aged 25-34 years. There was more than an 80-fold difference in the range of rates of PrEP use per 100,000 population among the EHE jurisdictions (range: 8-644 per 100,000 population; median 93 per 100,000 population). PrEP use increased from 2012 to 2018 in all EHE counties and states. At current rates of growth of PrEP use, 94% of EHE counties and jurisdictions will reach their National HIV/AIDS Strategy goals of a 500% increase in PrEP use in 2020. EHE states had less variation in rates of PrEP use (range: 29-51/100,000 population; median 32/100,000 population)., Conclusions: At the outset of a major U.S. government program to reduce HIV infections, rates of PrEP use are highly variable among the 50 EHE jurisdictions. Data from commercial prescription databases will be a useful public resource to understand progress in promoting use of PrEP as part of the EHE initiative and evaluating progress in PrEP use across health jurisdictions., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

The risk of maternal death in the United States is higher than peer nations and is rising and varies dramatically by the race and place of residence of the woman. Critical efforts to reduce maternal mortality include patient risk stratification and system-level quality improvement efforts targeting specific aspects of clinical care. These efforts are important for addressing the causes of an individual's risk, but research to date suggests that individual risk factors alone do not adequately explain between-group disparities in pregnancy-related death by race, ethnicity, or geography. The holistic review and multidisciplinary makeup of maternal mortality review committees make them well positioned to fill knowledge gaps about the drivers of racial and geographic inequity in maternal death. However, committees may lack the conceptual framework, contextual data, and evidence base needed to identify community-based contributing factors to death and, when appropriate, to make recommendations for future action. By incorporating a multileveled, theory-grounded framework for causes of health inequity, along with indicators of the community vital signs, the social and community context in which women live, work, and seek health care, maternal mortality review committees may identify novel underlying factors at the community level that enhance understanding of racial and geographic inequity in maternal mortality. By considering evidence-informed community and regional resources and policies for addressing these factors, novel prevention recommendations, including recommendations that extend outside the realm of the formal health care system, may emerge., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Immigration policy climate may have pervasive effects on the health of immigrants and their families. We examine how living in a state at the time of delivery with a more restrictive immigration policy climate impacts risk of very preterm birth (VPTB) among Hispanic mothers in the United States. We used data from the United States live birth files, 2005-2016. We fit generalized linear mixed models predicting VPTB including information on individual (e.g., age, parity, specific Hispanic origin group) and geographic (e.g., county level poverty, ethnic density) risk determinants. Living in a state with a more restrictive immigration policy climate is associated with a slight increase in odds of VPTB for Hispanic women (aOR: 1.07 (1.04-1.10))., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

This study explored the extent to which county- and individual-level factors were associated with awareness, willingness to use, and use of pre-exposure prophylaxis (PrEP) among US men who have sex with men (MSM). We conducted multilevel analyses using a sample of 8338 MSM residing in 1257 US counties drawn from the 2014-2015 American Men's Internet Survey to examine these associations, with focuses on variation in PrEP outcomes across counties and proportion variation explained by county-level factors (HIV prevalence, racial composition, median household income, income inequality, health insurance coverage). Results showed that PrEP awareness varied moderately across counties (intraclass correlation coefficients [ICC] = 7.7%), willingness to use did not vary; however, the actual use varied substantially (ICC = 20.7%). Half of the variation in awareness and use was explained by county-level factors. Higher median household income was associated with greater likelihood of awareness and use. Higher income inequality was associated with greater likelihood of PrEP awareness. Findings can inform the development of multilevel interventions to address PrEP uptake among MSM and identify communities where structural intervention is most needed.

Living in neighborhoods characterized by poverty may act as a chronic stressor that results in physiological dysregulation of the sympathetic nervous system. No previous study has assessed neighborhood poverty with hemodynamic, neuroendocrine, and immune reactivity to stress. We used data from 632 patients with coronary artery disease. Patients' residential addresses were geocoded and merged with poverty data from the 2010 American Community Survey at the census-tract level. A z-transformation was calculated to classify census tracts (neighborhoods) as either having 'high' or 'low' poverty. Systolic blood pressure, diastolic blood pressure, heart rate, rate-pressure product, epinephrine, interleukin-6, and high-sensitivity C-reactive protein were measured before and after a public speaking stress task. Multilevel models were used for repeated measures and accounting for individuals nested within census tracts. Adjusted models included demographics, lifestyle and medical risk factors, and medication use. Another set of models included propensity scores weighted by the inverse probability of neighborhood status for sex, age, race, and individual-level income. The mean age was 63 years and 173 were women. After adjusting for potential confounders, participants living in high (vs. low) poverty neighborhoods had similar hemodynamic values at rest and lower values during mental stress for systolic blood pressure (157 mmHg vs. 161 mmHg; p = 0.07), heart rate (75 beats/min vs. 78 beats/min; p = 0.02) and rate-pressure product (11839 mmHg x beat/min vs 12579 mmHg x beat/min; p = 0.01). P-values for neighborhood poverty-by-time interactions were <0.05. Results were similar in the propensity weighted models. There were no significant differences in inflammatory and epinephrine responses to mental stress based on neighborhood poverty status. A blunted hemodynamic response to mental stress was observed among participants living in high poverty neighborhoods. Future studies should explore whether neighborhood poverty and blunted hemodynamic response to stress translate into differences in long-term cardiovascular outcomes., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Objective: The Healthy Weight Counseling Maintenance of Certification (MOC) program integrates pediatrician training and clinic changes to promote use of evidence-based, diet and physical activity (PA) health messages and counseling strategies. This interrupted time series study assessed the impact of this MOC program on provision of weight-related counseling., Methods: We randomly selected 10-15 well-child visit charts at three time points before and three time points after 102 Georgia pediatricians began the MOC in 2012-2015. Linear binomial regression compared the frequency of behavior-change goal setting and health messaging documentation (fruit/vegetable consumption, sugar-sweetened beverage consumption, out-of-home food consumption, PA, and screen time) before and after MOC participation., Results: At baseline, pediatricians documented behavior-change goals with 44% of patients, with an additional 49% of patients having documented goals after their pediatrician started the MOC (99.5% confidence interval [CI]: 21-77%). Similarly, absolute increases in the proportion of patients with documentation for sugar-sweetened beverage consumption (adjusted prevalence difference [aPD]: 37%; 99.5% CI: 13-62%) and out-of-home eating were observed (aPD: 38%; 99.5% CI: 12-64%)., Conclusion: The Healthy Weight Counseling MOC is associated with increased and sustained use of evidence-based health messages and counseling strategies., Practice Implications: Continuing education and facilitation of system changes help improve physicians' weight-related counseling., (Copyright © 2018 Elsevier B.V. All rights reserved.)

One hypothesized explanation for the recent slowing of declines in heart disease death rates is the generational shift in the timing and accumulation of risk factors. However, directly testing this hypothesis requires historical age-group-specific risk factor data that do not exist. Using national death records, we compared spatiotemporal patterns of heart disease death rates by age group, time period, and birth cohort to provide insight into possible drivers of trends. To do this, we calculated county-level percent change for five time periods (1973-1980, 1980-1990, 1990-2000, 2000-2010, 2010-2015) for four age groups (35-44, 45-54, 55-64, 65-74), resulting in eight birth cohorts for each decade from the 1900s through the 1970s. From 1973 through 1990, few counties experienced increased heart disease death rates. In 1990-2000, 49.0% of counties for ages 35-44 were increasing, while all other age groups continued to decrease. In 2000-2010, heart disease death rates for ages 45-54 increased in 30.4% of counties. In 2010-2015, all four age groups showed widespread increasing county-level heart disease death rates. Likewise, birth cohorts from the 1900s through the 1930s experienced consistently decreasing heart disease death rates in almost all counties. Similarly, with the exception of 2010-2015, most counties experienced decreases for the 1940s birth cohort. For birth cohorts in the 1950s, 1960s, and 1970s, increases were common and geographically widespread for all age groups and calendar years. This analysis revealed variation in trends across age groups and across counties. However, trends in heart disease death rates tended to be generally decreasing and increasing for early and late birth cohorts, respectively. These findings are consistent with the hypothesis that recent increases in heart disease mortality stem from the beginnings of the obesity and diabetes epidemics. However, the common geographic patterns within the earliest and latest time periods support the importance of place-based macro-level factors., (Published by Elsevier Ltd.)

Background: Lung cancer-related death rates in the United States have declined steadily since 1990 in men but not until the mid-2000s in women, with the gap in mortality narrowing during the most recent time period. We examined variation in the declining trend among women by county, where many tobacco control policies are implemented. Methods: We obtained county-level lung cancer death rates among women from the National Center for Health Statistics mortality file and calculated relative changes from 1990-1999 to 2006-2015. Optimized hotspot analysis identified contiguous counties with small declines or increases in death rates. Results: We identified two distinct clusters of counties: 669 in Appalachia and the Midwest (Hotspot 1) and 81 in the northern Midwest (Hotspot 2). From 1990-1999 to 2006-2015, death rates among women increased by 13% in Hotspot 1 and by 7% in Hotspot 2 counties, while rates decreased by 6% in the non-hotspot United States. From 1990-2015, death rate ratios (RRs) in hotspot versus non-hotspot counties changed from 4% lower (RR, 0.96; 95% CI, 0.94-0.99) to 28% higher [RR, 1.28; 95% confidence interval (CI), 1.25-1.31] for Hotspot 1 counties and from 18% lower (RR, 0.82; 95% CI, 0.76-0.89) to unity (RR, 0.99; 95% CI, 0.93-1.05) for Hotspot 2 counties. Conclusions: We identified areas in the Midwest and Appalachia where progress against lung cancer mortality among women has lagged compared with a steady national decline. Impact: Targeted tobacco control programs could reduce the excess burden of lung cancer among women living in hotspot counties and prevent widening geographic inequity. Cancer Epidemiol Biomarkers Prev; 27(11); 1261-4. ©2018 AACR., (©2018 American Association for Cancer Research.)

Being born preterm and being raised in poverty are each linked with adverse cognitive outcomes. Using data from 5,250 singletons born in the United States in 2001 and enrolled in the Early Childhood Longitudinal Study, Birth Cohort, we examined whether household socioeconomic status (SES) modified the association between preterm birth (PTB) and children's scores on cognitive assessments at age 2 years and reading and mathematics assessments at kindergarten age. Gestational age was measured from birth certificates and categorized as early preterm, moderate preterm, late preterm, early term, and term. SES was measured at age 9 months using a composite of parental education, occupation, and income. PTB was associated with 0.1- to 0.6-standard deviation-deficits in 2-year cognitive ability and kindergarten mathematics scores and with 0.1- to 0.4-standard-deviation deficits in kindergarten reading scores. Children living in the lowest (versus highest) SES quintile scored 0.6 standard deviations lower on 2-year cognitive ability, 1.1 standard deviations lower on kindergarten reading, and 0.9 standard deviations lower on kindergarten mathematics. The association between PTB and cognitive outcomes did not differ by postnatal SES. However, children who were both born preterm and lived in lower-SES households had the poorest performance on all 3 outcomes and therefore may represent a uniquely high-risk group.

Despite substantial declines since the 1960's, heart disease remains the leading cause of death in the United States (US) and geographic disparities in heart disease mortality have grown. State-level socioeconomic factors might be important contributors to geographic differences in heart disease mortality. This study examined the association between state-level minimum wage increases above the federal minimum wage and heart disease death rates from 1980 to 2015 among 'working age' individuals aged 35-64 years in the US. Annual, inflation-adjusted state and federal minimum wage data were extracted from legal databases and annual state-level heart disease death rates were obtained from CDC Wonder. Although most minimum wage and health studies to date use conventional regression models, we employed marginal structural models to account for possible time-varying confounding. Quasi-experimental, marginal structural models accounting for state, year, and state × year fixed effects estimated the association between increases in the state-level minimum wage above the federal minimum wage and heart disease death rates. In models of 'working age' adults (35-64 years old), a $1 increase in the state-level minimum wage above the federal minimum wage was on average associated with ~6 fewer heart disease deaths per 100,000 (95% CI: -10.4, -1.99), or a state-level heart disease death rate that was 3.5% lower per year. In contrast, for older adults (65+ years old) a $1 increase was on average associated with a 1.1% lower state-level heart disease death rate per year (b = -28.9 per 100,000, 95% CI: -71.1, 13.3). State-level economic policies are important targets for population health research., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Neighborhood social and physical factors shape sexual network characteristics in HIV-seronegative adults in the U.S. This multilevel analysis evaluated whether these relationships also exist in a predominantly HIV-seropositive cohort of women. This cross-sectional multilevel analysis included data from 734 women enrolled in the Women's Interagency HIV Study's sites in the U.S. South. Census tract-level contextual data captured socioeconomic disadvantage (e.g., tract poverty), number of alcohol outlets, and number of non-profits in the census tracts where women lived; participant-level data, including perceived neighborhood cohesion, were gathered via survey. We used hierarchical generalized linear models to evaluate relationships between tract characteristics and two outcomes: perceived main sex partner risk level (e.g., partner substance use) and perceived main sex partner non-monogamy. We tested whether these relationships varied by women's HIV status. Greater tract-level socioeconomic disadvantage was associated with greater sex partner risk (OR 1.29, 95% CI 1.06-1.58) among HIV-seropositive women and less partner non-monogamy among HIV-seronegative women (OR 0.69, 95% CI 0.51-0.92). Perceived neighborhood trust and cohesion was associated with lower partner risk (OR 0.83, 95% CI 0.69-1.00) for HIV-seropositive and HIV-seronegative women. The tract-level number of alcohol outlets and non-profits were not associated with partner risk characteristics. Neighborhood characteristics are associated with perceived sex partner risk and non-monogamy among women in the South; these relationships vary by HIV status. Future studies should examine causal relationships and explore the pathways through which neighborhoods influence partner selection and risk characteristics.

Objectives: To explore international differences in the classification of births at extremely low gestation and the subsequent impact on the calculation of survival rates., Methods: We used national data on births at 22 to 25 weeks' gestation from the United States (2014; n = 11 144), Canada (2009-2014; n = 5668), the United Kingdom (2014-2015; n = 2992), Norway (2010-2014; n = 409), Finland (2010-2015; n = 348), Sweden (2011-2014; n = 489), and Japan (2014-2015; n = 2288) to compare neonatal survival rates using different denominators: all births, births alive at the onset of labor, live births, live births surviving to 1 hour, and live births surviving to 24 hours., Results: For births at 22 weeks' gestation, neonatal survival rates for which we used live births as the denominator varied from 3.7% to 56.7% among the 7 countries. This variation decreased when the denominator was changed to include stillbirths (ie, all births [1.8%-22.3%] and fetuses alive at the onset of labor [3.7%-38.2%]) or exclude early deaths and limited to births surviving at least 12 hours (50.0%-77.8%). Similar trends were seen for infants born at 23 weeks' gestation. Variation diminished considerably at 24 and 25 weeks' gestation., Conclusions: International variation in neonatal survival rates at 22 to 23 weeks' gestation diminished considerably when including stillbirths in the denominator, revealing the variation arises in part from differences in the proportion of births reported as live births, which itself is closely connected to the provision of active care., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2018 by the American Academy of Pediatrics.)

Delay discounting is a measure of impulsivity that has been found to be associated with numerous health-related outcomes. To the extent that delay discounting is associated with sexual risk-taking, it might serve as a marker for HIV risk or as the basis for novel HIV prevention interventions. The goal of the current study was to examine the association between monetary and sexual delay discounting and condomless anal intercourse (CAI) in a cross-sectional sample of men who have sex with men. Based on previous findings, we examined whether these associations were age-dependent. Sexual, but not monetary, delay discounting was found to be associated with CAI in the past 12 months. These results suggest that delay discounting is associated with sexual risk-taking. More high risk sexual behaviors and their associations with delay discounting should be investigated in the future.

Objectives: This study examines the relationships between hospitals' annual acute respiratory distress syndrome case volume with hospitals' acute respiratory distress syndrome case fatality rates and individuals' odds of acute respiratory distress syndrome hospital mortality., Design: Retrospective cohort study., Setting: The U.S. Healthcare Cost and Utilization Project's Nationwide Inpatient Sample, 2002-2011., Patients: Acute respiratory distress syndrome discharges defined by the presence of an acute respiratory distress syndrome International Classification of Diseases, 9th revision, Clinical Modification diagnosis code (518.82 or 518.5) and a mechanical ventilation procedure code (96.70, 96.71 or 96.72) on the discharge diagnosis and procedure lists. If the procedure code 96.71 was on the discharge record (mechanical ventilation < 96 hr duration), the patient also needed to be classified as deceased., Interventions: None., Measurements and Main Results: We analyzed 2,686 hospitals and 117,204 cases of acute respiratory distress syndrome. Average annual hospital acute respiratory distress syndrome in-hospital mortality was 47%. Acute respiratory distress syndrome case volume was categorized as low (1-9), medium (10-49), and high (50-423 cases per year). In a hospital-level Poisson regression adjusting for hospital characteristics, when compared with low-volume acute respiratory distress syndrome hospitals, high- and medium-volume acute respiratory distress syndrome hospitals had lower annual acute respiratory distress syndrome case fatality (rate ratio, 0.75; 99% CI, 0.71-0.79 and rate ratio, 0.86; 99% CI, 0.82-0.90, respectively; p ≤ 0.001 for both). In an individual-level, multivariable model adjusting for hospital and individual characteristics, high and medium acute respiratory distress syndrome volume hospitals were associated with lower odds of acute respiratory distress syndrome mortality compared with low-volume hospitals (odds ratio, 0.85 [99% CI, 0.74-0.99]; p = 0.006 and odds ratio, 0.89 [99% CI 0.79-1.00]; p = 0.01, respectively)., Conclusions: In this cohort, at both an individual- and hospital-level, higher acute respiratory distress syndrome hospital case volume is associated with lower acute respiratory distress syndrome hospital mortality.

Background: Few studies have investigated international variations in the gestational age (GA) distribution of births. While preterm births (22-36 weeks GA) and early term births (37-38 weeks) are at greater risk of adverse health outcomes compared to full term births (39-40 weeks), it is not known if countries with high preterm birth rates also have high early term birth rates. We examined rate associations between preterm and early term births and mean term GA by mode of delivery onset., Methods: We used routine aggregate data on the GA distribution of singleton live births from up to 34 high-income countries/regions in 1996, 2000, 2004, 2008 and 2010 to study preterm and early term births overall and by spontaneous or indicated onset. Pearson correlation coefficients were adjusted for clustering in time trend analyses., Results: Preterm and early term births ranged from 4.1% to 8.2% (median 5.5%) and 15.6% to 30.8% (median 22.2%) of live births in 2010, respectively. Countries with higher preterm birth rates in 2004-2010 had higher early term birth rates (r > 0.50, P < 0.01) and changes over time were strongly correlated overall (adjusted-r = 0.55, P < 0.01) and by mode of onset., Conclusion: Positive associations between preterm and early term birth rates suggest that common risk factors could underpin shifts in the GA distribution. Targeting modifiable population risk factors for delivery before 39 weeks GA may provide a useful preterm birth prevention paradigm.

Background: The United States Public Health Service recommends that all women of reproductive age consume 400 μg of folic acid daily to prevent major neural tube defects. Hispanics have the highest prevalence of neural tube defects compared with other race/ethnic groups. We studied prevalence of preconception folic acid supplement use, and its association with race/ethnicity among pregnant women in Georgia., Methods: Using state-wide population-based data from 2009 to 2011 Georgia Pregnancy Risk Assessment Monitoring System, we examined the prevalence of preconception folic acid supplement use among pregnant women aged 18 to 45 years. We conducted multivariable logistic regression and estimated adjusted odds ratios and 95% confidence intervals to examine the association between race/ethnicity and supplemental folic acid use among study participants., Results: Overall, 25% of all participants reported taking folic acid supplements daily before conception. Only 21% of Hispanic women reported preconception folic acid supplement use. Hispanic women were twice as likely to not take folic acid supplements (adjusted odds ratio = 2.15; 95% confidence interval, 1.35-3.40) compared with non-Hispanic whites, after controlling for maternal age, parity, pregnancy intention, knowledge that folic acid prevents birth defects, and preconception smoking and exercise., Conclusion: Hispanics are a growing population in the United States with an expected 14 million women of child-bearing age by 2020, and the prevalence of preconception folic acid supplement use is low in this group with a high risk of neural tube defects. Promotion of voluntarily fortified corn masa flour can lower neural tube defects in Hispanics. Mandatory corn masa fortification will be a more effective public health policy.Birth Defects Research 109:38-48, 2017. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Rationale: Acute respiratory distress syndrome (ARDS) is an acute hypoxemic respiratory failure seen in critically ill patients after an inciting injury. The burden of ARDS mortality in the United States in recent years is not well characterized., Objectives: In this study, we aimed to describe trends in the annual incidence of ARDS mortality in the United States from 1999 to 2013. We also describe demographic characteristics, geographic and seasonal trends, and other associated underlying causes of death in this population., Methods: Data on all deceased U.S. residents are available through the Multiple Cause of Death (MCOD) database of the National Center for Health Statistics. ARDS-related deaths were identified in the MCOD database using International Classification of Diseases, 10th Revision., Measurements and Main Results: Aggregate annual crude and age-adjusted mortality rates and mortality rate ratios were used to compare various demographic subpopulations. Over the 15-year period, the national ARDS-related age-adjusted mortality rate demonstrated an annual seasonal variation, peaking in winter. The annual rate decreased in a nonlinear fashion, with a plateau from 2010 to 2013. The ARDS-related age-adjusted mortality rate was 5.01 per 100,000 persons (95% confidence interval, 4.92-5.09) in 1999 and 2.82 per 100,000 persons (95% confidence interval, 2.76-2.88) in 2013. Males had a higher average ARDS-related mortality rate than did females. Asian/Pacific Islanders had the lowest average age-adjusted ARDS-related mortality rate, and black/African-American individuals, the highest., Conclusions: National age-adjusted ARDS-related mortality rates decreased between 1999 and 2013 in the United States, yet still show relative racial and sex disparities. However, death certificates largely underestimate the overall mortality burden from ARDS when compared with studies of clinically ascertained cases.

Importance: Clinicians have been urged to delay the use of obstetric interventions (eg, labor induction, cesarean delivery) until 39 weeks or later in the absence of maternal or fetal indications for intervention., Objective: To describe recent trends in late preterm and early term birth rates in 6 high-income countries and assess association with use of clinician-initiated obstetric interventions., Design: Retrospective analysis of singleton live births from 2006 to the latest available year (ranging from 2010 to 2015) in Canada, Denmark, Finland, Norway, Sweden, and the United States., Exposures: Use of clinician-initiated obstetric intervention (either labor induction or prelabor cesarean delivery) during delivery., Main Outcomes and Measures: Annual country-specific late preterm (34-36 weeks) and early term (37-38 weeks) birth rates., Results: The study population included 2,415,432 Canadian births in 2006-2014 (4.8% late preterm; 25.3% early term); 305,947 Danish births in 2006-2010 (3.6% late preterm; 18.8% early term); 571,937 Finnish births in 2006-2015 (3.3% late preterm; 16.8% early term); 468,954 Norwegian births in 2006-2013 (3.8% late preterm; 17.2% early term); 737,754 Swedish births in 2006-2012 (3.6% late preterm; 18.7% early term); and 25,788,558 US births in 2006-2014 (6.0% late preterm; 26.9% early term). Late preterm birth rates decreased in Norway (3.9% to 3.5%) and the United States (6.8% to 5.7%). Early term birth rates decreased in Norway (17.6% to 16.8%), Sweden (19.4% to 18.5%), and the United States (30.2% to 24.4%). In the United States, early term birth rates decreased from 33.0% in 2006 to 21.1% in 2014 among births with clinician-initiated obstetric intervention, and from 29.7% in 2006 to 27.1% in 2014 among births without clinician-initiated obstetric intervention. Rates of clinician-initiated obstetric intervention increased among late preterm births in Canada (28.0% to 37.9%), Denmark (22.2% to 25.0%), and Finland (25.1% to 38.5%), and among early term births in Denmark (38.4% to 43.8%) and Finland (29.8% to 40.1%)., Conclusions and Relevance: Between 2006 and 2014, late preterm and early term birth rates decreased in the United States, and an association was observed between early term birth rates and decreasing clinician-initiated obstetric interventions. Late preterm births also decreased in Norway, and early term births decreased in Norway and Sweden. Clinician-initiated obstetric interventions increased in some countries but no association was found with rates of late preterm or early term birth.

Background: Although many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality., Methods and Results: Age-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged ≥35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties., Conclusions: The dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality., (© 2016 American Heart Association, Inc.)

Background: Examining small-area differences in the strength of declining heart disease mortality by race and sex provides important context for current racial and geographic disparities and identifies localities that could benefit from targeted interventions. We identified and described temporal trends in declining county-level heart disease mortality by race, sex, and geography between 1973 and 2010., Methods and Results: Using a Bayesian hierarchical model, we estimated age-adjusted mortality with diseases of the heart listed as the underlying cause for 3099 counties. County-level percentage declines were calculated by race and sex for 3 time periods (1973-1985, 1986-1997, 1998-2010). Strong declines were statistically faster or no different than the total national decline in that time period. We observed county-level race-sex disparities in heart disease mortality trends. Continual (from 1973 to 2010) strong declines occurred in 73.2%, 44.6%, 15.5%, and 17.3% of counties for white men, white women, black men, and black women, respectively. Delayed (1998-2010) strong declines occurred in 15.4%, 42.0%, 75.5%, and 76.6% of counties for white men, white women, black men, and black women, respectively. Counties with the weakest patterns of decline were concentrated in the South., Conclusions: Since 1973, heart disease mortality has declined substantially for these race-sex groups. Patterns of decline differed by race and geography, reflecting potential disparities in national and local drivers of these declines. Better understanding of racial and geographic disparities in the diffusion of heart disease prevention and treatment may allow us to find clues to progress toward racial and geographic equity in heart disease mortality., (© 2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

Background: Fertility counselling and treatment can help women achieve their desired family size; however, disparities exist in the utilisation of this care., Methods: This study examines the persistence of a racial disparity in visiting a doctor for help getting pregnant by estimating the direct effect of this association using data from the Furthering Understanding of Cancer Health and Survivorship in Adult Women's Study, a population-based cohort study. This cohort included 1073 reproductive age women (22-45 years) with 28% reporting infertility. We fit log binomial models to quantify the magnitude of the racial difference in reported care seeking after adjustment for hypothesised mediators using inverse probability weighting., Results: Compared with white women, black women were less likely to visit a doctor in the total population [adjusted risk ratio (RR) 0.57, 95% confidence interval (CI) 0.41, 0.80] and in the subgroup of women with infertility [RR 0.75, 95% CI 0.56, 0.99]. In addition, black women waited twice as long, on average, before seeking help compared with white women., Conclusions: There were notable racial differences in visiting a doctor for help getting pregnant in this study although reports of infertility were similar by race. These differences may be mitigated through improved communication about the range of counselling and treatment options available., (© 2015 John Wiley & Sons Ltd.)

Against the backdrop of late 20th century declines in heart disease mortality in the United States, race-specific rates diverged because of slower declines among blacks compared with whites. To characterize the temporal dynamics of emerging black-white racial disparities in heart disease mortality, we decomposed race-sex-specific trends in an age-period-cohort (APC) analysis of US mortality data for all diseases of the heart among adults aged ≥35 years from 1973 to 2010. The black-white gap was largest among adults aged 35-59 years (rate ratios ranged from 1.2 to 2.7 for men and from 2.3 to 4.0 for women) and widened with successive birth cohorts, particularly for men. APC model estimates suggested strong independent trends across generations ("cohort effects") but only modest period changes. Among men, cohort-specific black-white racial differences emerged in the 1920-1960 birth cohorts. The apparent strength of the cohort trends raises questions about life-course inequalities in the social and health environments experienced by blacks and whites which could have affected their biomedical and behavioral risk factors for heart disease. The APC results suggest that the genesis of racial disparities is neither static nor restricted to a single time scale such as age or period, and they support the importance of equity in life-course exposures for reducing racial disparities in heart disease., (Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.)

Purpose: To demonstrate the implications of choosing analytical methods for quantifying spatiotemporal trends, we compare the assumptions, implementation, and outcomes of popular methods using county-level heart disease mortality in the United States between 1973 and 2010., Methods: We applied four regression-based approaches (joinpoint regression, both aspatial and spatial generalized linear mixed models, and Bayesian space-time model) and compared resulting inferences for geographic patterns of local estimates of annual percent change and associated uncertainty., Results: The average local percent change in heart disease mortality from each method was -4.5%, with the Bayesian model having the smallest range of values. The associated uncertainty in percent change differed markedly across the methods, with the Bayesian space-time model producing the narrowest range of variance (0.0-0.8). The geographic pattern of percent change was consistent across methods with smaller declines in the South Central United States and larger declines in the Northeast and Midwest. However, the geographic patterns of uncertainty differed markedly between methods., Conclusions: The similarity of results, including geographic patterns, for magnitude of percent change across these methods validates the underlying spatial pattern of declines in heart disease mortality. However, marked differences in degree of uncertainty indicate that Bayesian modeling offers substantially more precise estimates., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Racial disparities in health are well-documented and represent a significant public health concern in the US. Racism-related factors contribute to poorer health and higher mortality rates among Blacks compared to other racial groups. However, methods to measure racism and monitor its associations with health at the population-level have remained elusive. In this study, we investigated the utility of a previously developed Internet search-based proxy of area racism as a predictor of Black mortality rates. Area racism was the proportion of Google searches containing the "N-word" in 196 designated market areas (DMAs). Negative binomial regression models were specified taking into account individual age, sex, year of death, and Census region and adjusted to the 2000 US standard population to examine the association between area racism and Black mortality rates, which were derived from death certificates and mid-year population counts collated by the National Center for Health Statistics (2004-2009). DMAs characterized by a one standard deviation greater level of area racism were associated with an 8.2% increase in the all-cause Black mortality rate, equivalent to over 30,000 deaths annually. The magnitude of this effect was attenuated to 5.7% after adjustment for DMA-level demographic and Black socioeconomic covariates. A model controlling for the White mortality rate was used to further adjust for unmeasured confounders that influence mortality overall in a geographic area, and to examine Black-White disparities in the mortality rate. Area racism remained significantly associated with the all-cause Black mortality rate (mortality rate ratio = 1.036; 95% confidence interval = 1.015, 1.057; p = 0.001). Models further examining cause-specific Black mortality rates revealed significant associations with heart disease, cancer, and stroke. These findings are congruent with studies documenting the deleterious impact of racism on health among Blacks. Our study contributes to evidence that racism shapes patterns in mortality and generates racial disparities in health.

Preterm birth (PTB) is a leading cause of newborn deaths and morbidities. The pregnancy risk assessment monitoring system (PRAMS) from the U.S., and the maternity experiences survey (MES) from Canada, which was modeled from PRAMS, were used to examine between-country differences in risk factors of preterm birth. The adjusted risk ratio and population attributable fraction (PAF) were calculated for modifiable and semi-modifiable risk factors of PTB, and all measures were compared between the U.S. and Canada. PTB was defined here as a live singleton birth between 28 and 37 completed weeks gestation (using the clinical gestational age estimate) where the baby was living with the mother at the time of the survey. The PTB risk was 7.6 % (SE = 0.2) in the U.S. and 4.9 % (SE = 0.3) in Canada. The a priori high risk category of factors was almost always more prevalent in the U.S. than Canada, suggesting broad social differences, but individually most of these differences were not associated with PTB. The underlying risk of PTB was generally higher in the U.S. in both the higher risk and referent categories, and the risk ratios for most risk factors were similar between the countries. The primary exception was for recurrence of PTB, where the risk ratio (RR) and PAF were much higher in Canada. We observed between-country differences in both the prevalence of risk factors and the adjusted RR. Further between-country comparisons may lead to important inferences as to the influence of modifiable risk factors contributing to PTB.

Objective: Providers recommend waiting to transplant patients with end-stage renal disease (ESRD) secondary to lupus nephritis (LN), to allow for quiescence of systemic lupus erythematosus (SLE)-related immune activity. However, these recommendations are not standardized, and we sought to examine whether duration of time to transplant was associated with risk of graft failure in US LN-ESRD patients., Methods: Using national ESRD surveillance data (United States Renal Data System), we identified 4,743 US patients with LN-ESRD who received a first transplant on or after January 1, 2000 (followup through September 30, 2011). The association of wait time (time from ESRD start to transplant) with graft failure was assessed with Cox proportional hazards models, with splines of the exposure to allow for nonlinearity of the association and with adjustment for potential confounding by demographic, clinical, and transplant factors., Results: White LN-ESRD patients who were transplanted later (versus at <3 months receiving dialysis) were at increased risk of graft failure (3-12 months: adjusted hazard ratio [HR] 1.23, 95% confidence interval [95% CI] 0.93-1.63; 12-24 months: adjusted HR 1.37, 95% CI 0.92-2.06; 24-36 months: adjusted HR 1.34, 95% CI 0.92-1.97; and >36 months: adjusted HR 1.98, 95% CI 1.31-2.99). However, no such association was seen among African American recipients (3-12 months: adjusted HR 1.07, 95% CI 0.79-1.45; 12-24 months: adjusted HR 1.01, 95% CI 0.64-1.60; 24-36 months: adjusted HR 0.78, 95% CI 0.51-1.18; and >36 months: adjusted HR 0.74, 95% CI 0.48-1.13)., Conclusion: While future studies are needed to examine the potential confounding effect of clinically recognized SLE activity on the observed associations, these results suggest that longer wait times to transplant may be associated with equivalent or worse, not better, graft outcomes among LN-ESRD patients., (Copyright © 2015 by the American College of Rheumatology.)

Objective: To describe end-stage renal disease (ESRD) quality of care (receipt of pre-ESRD nephrology care, access to kidney transplantation, and placement of permanent vascular access for dialysis) in US patients with ESRD due to lupus nephritis (LN-ESRD) and to examine whether quality measures differ by patient sociodemographic characteristics or US region., Methods: National surveillance data on patients in the US in whom treatment for LN-ESRD was initiated between July 2005 and September 2011 (n = 6,594) were analyzed. Odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95% CIs) were determined for each quality measure, according to sociodemographic factors and US region., Results: Overall, 71% of the patients received nephrology care prior to ESRD. Black and Hispanic patients were less likely than white patients to receive pre-ESRD care (OR 0.73 [95% CI 0.63-0.85] and OR 0.73 [95% CI 0.60-0.88], respectively) and to be placed on the kidney transplant waitlist within the first year after the start of ESRD (HR 0.78 [95% CI 0.68-0.91] and HR 0.82 [95% CI 0.68-0.98], respectively). Those with Medicaid (HR 0.51 [95% CI 0.44-0.58]) or no insurance (HR 0.36 [95% CI 0.29-0.44]) were less likely than those with private insurance to be placed on the waitlist. Only 24% had a permanent vascular access, and placement was even less likely among the uninsured (OR 0.62 [95% CI 0.49-0.79]). ESRD quality-of-care measures varied 2-3-fold across regions of the US, with patients in the Northeast and Northwest generally having higher probabilities of adequate care., Conclusion: LN-ESRD patients have suboptimal ESRD care, particularly with regard to placement of dialysis vascular access. Minority race/ethnicity and lack of private insurance are associated with inadequate ESRD care. Further studies are warranted to examine multilevel barriers to, and develop targeted interventions to improve delivery of, care among patients with LN-ESRD., (Copyright © 2015 by the American College of Rheumatology.)

Racial residential segregation has been associated with an increased risk for heart disease and stroke deaths. However, there has been little research into the role that candidate mediating pathways may play in the relationship between segregation and heart disease or stroke deaths. In this study, we examined the relationship between metropolitan statistical area (MSA)-level segregation and heart disease and stroke mortality rates, by age and race, and also estimated the effects of various educational, economic, social, and health-care indicators (which we refer to as pathways) on this relationship. We used Poisson mixed models to assess the relationship between the isolation index in 265 U.S. MSAs and county-level (heart disease, stroke) mortality rates. All models were stratified by race (non-Hispanic black, non-Hispanic white), age group (35-64 years, ≥ 65 years), and cause of death (heart disease, stroke). We included each potential pathway in the model separately to evaluate its effect on the segregation-mortality association. Among blacks, segregation was positively associated with heart disease mortality rates in both age groups but only with stroke mortality rates in the older age group. Among whites, segregation was marginally associated with heart disease mortality rates in the younger age group and was positively associated with heart disease mortality rates in the older age group. Three of the potential pathways we explored attenuated relationships between segregation and mortality rates among both blacks and whites: percentage of female-headed households, percentage of residents living in poverty, and median household income. Because the percentage of female-headed households can be seen as a proxy for the extent of social disorganization, our finding that it has the greatest attenuating effect on the relationship between racial segregation and heart disease and stroke mortality rates suggests that social disorganization may play a strong role in the elevated rates of heart disease and stroke found in racially segregated metropolitan areas.

Background: Although the increased prevalence of childhood obesity in the United States has been documented, little is known about its incidence. We report here on the national incidence of obesity among elementary-school children., Methods: We evaluated data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999, a representative prospective cohort of 7738 participants who were in kindergarten in 1998 in the United States. Weight and height were measured seven times between 1998 and 2007. Of the 7738 participants, 6807 were not obese at baseline; these participants were followed for 50,396 person-years. We used standard thresholds from the Centers for Disease Control and Prevention to define "overweight" and "obese" categories. We estimated the annual incidence of obesity, the cumulative incidence over 9 years, and the incidence density (cases per person-years) overall and according to sex, socioeconomic status, race or ethnic group, birth weight, and kindergarten weight., Results: When the children entered kindergarten (mean age, 5.6 years), 12.4% were obese and another 14.9% were overweight; in eighth grade (mean age, 14.1 years), 20.8% were obese and 17.0% were overweight. The annual incidence of obesity decreased from 5.4% during kindergarten to 1.7% between fifth and eighth grade. Overweight 5-year-olds were four times as likely as normal-weight children to become obese (9-year cumulative incidence, 31.8% vs. 7.9%), with rates of 91.5 versus 17.2 per 1000 person-years. Among children who became obese between the ages of 5 and 14 years, nearly half had been overweight and 75% had been above the 70th percentile for body-mass index at baseline., Conclusions: Incident obesity between the ages of 5 and 14 years was more likely to have occurred at younger ages, primarily among children who had entered kindergarten overweight. (Funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.).

Human papilloma virus (HPV) vaccination could substantially reduce the burden of cervical cancer by preventing HPV infection. This study uses the 2007 National Survey of Children's Health (NSCH) to estimate HPV vaccine coverage prevalence for US girls aged 12-17, the target group for vaccination. NSCH is a population-based telephone survey of households with children younger than 18 years. The proportion of girls aged 12-17 whose parent or guardian reported receipt of a clinician recommendation for HPV vaccination, one or more does of HPV vaccine, or a complete three-dose HPV vaccine series were estimated. Multivariable models estimated adjusted associations and marginal predicted vaccine coverage prevalence for each of the 50 US states and according to race/ethnicity, household income, insurance status, parental education, and whether the girl had a 'medical home'. The NSCH sample included 17,264 girls aged 12-17. Overall 18.2 % (SE 0.8 %) of girls reportedly received at least one HPV vaccine dose and 3.6 % (SE 0.4 %) completed the series; 31 % received clinician recommendation for HPV vaccine. Girls who received a clinician recommendation to vaccinate were 23 (95 % CI 18-29) times as likely to be vaccinated as those not counseled. There was substantial interstate variation in vaccine coverage that was largely explained by variability in clinician counseling. For 2007, there was substantial variation in HPV vaccine coverage among US girls 12-17 years that was largely explained by variability in clinician counseling. Strategies aimed at increasing clinicians' counseling for HPV vaccination could substantially reduce disparities in HPV vaccine coverage.

Objective: We seek to expand on a biopsychosocial framework underlying the etiology of excess preterm birth experienced by African-American women by exploring short inter-pregnancy intervals as a partial explanatory factor., Design: We conducted a qualitative analyses of published studies that met specified criteria for assessing the association of inter-pregnancy interval and preterm birth., Methods: We determine whether inter-pregnancy interval is associated with preterm birth, what the underlying causal mechanism may be, whether African-American women are more likely than Caucasian women to have short intervals, and whether achieving an optimal interval will result in reduced African-American-Caucasian gap in preterm births., Main Outcome Measures: Crude and adjusted odds ratios for preterm birth, with the referent group being the interval closest to the 'ideal' of 18-23 months and the exposed group having intervals <12 months or some subset of that inter-pregnancy interval. Results. Inter-pregnancy interval less than six months increases preterm birth by about 40%. The mechanism may be through failure to replenish maternal nutritional stores. While there may not be an interaction between race and short inter-pregnancy interval, short intervals can explain about 4% of the African-American-Caucasian gap in preterm birth because African-American women are approximately 1.8 times as likely to have inter-pregnancy intervals of less than six months. Limited studies indicate that optimal intervals can be achieved through appropriate counseling and health care., Conclusions: Excess risk for preterm birth may be reduced by up to 8% among African-Americans and up to 4% among Caucasians through increasing inter-pregnancy intervals to the optimal length of 18-23 months., (© 2011 The Authors Acta Obstetricia et Gynecologica Scandinavica© 2011 Nordic Federation of Societies of Obstetrics and Gynecology.)

Objective: To give an overview of the literature for evidence of nutrient deficiencies as contributors to the disparity in preterm birth (PTB) between African-American and Caucasian women., Design: Structured literature survey., Methods: We searched MEDLINE to identify observational and experimental studies that evaluated the relation between nutrient intake and/or supplementation and PTB. For nutrients for which studies supported an association, we searched MEDLINE for studies of the prevalence of deficiency in the USA by race., Main Outcome Measures: Summarized findings on nutrients for which there is both evidence of a role in PTB and variability in the prevalence of deficiency by race., Results: Nutrient deficiencies for which there are varying levels of evidence for an association with PTB and a greater burden among African-American compared with Caucasian women include deficiencies of iron, folic acid, zinc, vitamin D, calcium and magnesium, and imbalance of ω-3 and ω-6 polyunsaturated fatty acids. There are inadequate high-quality studies that investigate the role of nutrient deficiencies in PTB, their potential interaction with other risks, the proportion of excess risk for which they account, and whether supplementation can reduce the risk of, and racial disparities in, PTB in US populations., Conclusion: Deficiencies of several nutrients have varying levels of evidence of association with PTB and are of greater burden among African-American compared with Caucasian women. Although further research is needed, strategies that improve the nutritional status of African-American women may be a means of addressing a portion of the racial disparity in PTB., (© 2011 The Authors Acta Obstetricia et Gynecologica Scandinavica© 2011 Nordic Federation of Societies of Obstetrics and Gynecology.)

Infection has been hypothesized to be one of the factors associated with spontaneous preterm birth (PTB) and with the racial disparity in rates of PTB between African American and Caucasian women. However, recent findings refute the generalizability of the role of infection and inflammation. African Americans have an increased incidence of PTB in the setting of intraamniotic infection, periodontal disease, and bacterial vaginosis compared to Caucasians. Herein we report variability in infection- and inflammation-related factors based on race/ethnicity. For African American women, an imbalance in the host proinflammatory response seems to contribute to infection-associated PTB, as evidenced by a greater presence of inflammatory mediators with limited or reduced presence of immune balancing factors. This may be attributed to differences in the genetic variants associated with PTB between African Americans and Caucasians. We argue that infection may not be a cause of racial disparity but in association with other risk factors such as stress, nutritional deficiency, and differences in genetic variations in PTB, pathways and their complex interactions may produce differential inflammatory responses that may contribute to racial disparity., (© 2011 The Authors Acta Obstetricia et Gynecologica Scandinavica© 2011 Nordic Federation of Societies of Obstetrics and Gynecology.)