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Objective Our objective was to describe infant mortality within 1 year of life according to gestational age and birth weight percentile in infants delivered between 22 and 28 weeks of gestation. Study Design This study was a retrospective cohort study based on publicly available U.S. birth certificate data linked to infant death data between 2014 and 2020. Maternal–neonate pairs of singleton live births between 22 0/7 and 28 6/7 weeks' gestation (vaginal or cesarean) were evaluated. We excluded infants with major fetal anomalies, chromosomal disorders, and birth weight outliers. Our primary outcome was infant mortality within 1 year of life. Individuals were categorized into eight sex-specific birth weight percentiles categories: less than the 3rd, 3rd-less than the 10th, 10th-less than the 25th, 25th-to less than the 50th, 50th-less than the 75th, 75th-to less than the 90th, 90th-less than the 97th, and 97th or higher. Results Of 27,014,444 individuals with live births from January 2014 to December 2020, 151,677 individuals who gave birth at 22 to 28 weeks of gestation were included in the study population. The mortality rate ranged from 4.2% for the 50th-less than the 75th percentiles at 28 weeks to 80.3% for the 3rd-less than the 10th percentile at 22 weeks. Using the 50th-less than the 75th birth weight percentile at each gestational age as a reference group, birth weight less than the 50th percentile was associated with increased mortality at all gestational ages in a dose-dependent manner. From 22 to 25 weeks of gestation, higher birth weight percentiles were associated with lower mortality, while the 97th or higher birth weight percentile was associated with increased mortality compared with the 50th-less than the 75th birth weight percentile at 26 to 28 weeks of gestation. Conclusion The lower birth weight percentiles were associated with higher mortality across all gestational ages, but the association between higher birth weight percentiles and infant mortality exhibited an opposite pattern at 22 to 25 weeks as compared to later gestational age. Key Points Birth weight ≥97th percentile was associated with increased infant mortality at 26 to 28 weeks. Higher birth weight percentiles were associated with a lower risk of mortality at 22 to 25 weeks. Lower birth weight percentiles were associated with a higher risk of mortality at 22 to 28 weeks. [ABSTRACT FROM AUTHOR]

Previous literature suggested that promoting childhood health could have intergenerational benefits. While several studies have pointed to the life-cycle benefits of mass vaccinations and disease elimination, fewer studies have explored their long-run intergenerational aspects. This paper joins the ongoing literature by exploring the intergenerational health benefits of mothers' childhood exposure to the measles vaccination for their infants' birth outcomes. Our identification strategy takes advantage of cross-cohort exposure to the introduction of the measles vaccine in 1963 and cross-state variations in pre-vaccine measles rates. Using the universe of birth records in the US over the years 1970–2004, we show that mothers who were exposed to the measles vaccine reveal improved birth outcomes. For mothers in states with an average pre-vaccine measles rate, full exposure to the vaccine during childhood is associated with roughly 5.4 and 5.7 percent reduction in the incidence of low-birth-weight and preterm-birth newborns. A series of event study analyses suggest that these findings are not driven by preexisting trends in outcomes. Further analyses suggest that improvements in educational outcomes, increases in prenatal care utilization, reductions in smoking, and increases in several measures of socioeconomic status are potential mechanisms. [ABSTRACT FROM AUTHOR]

Objectives: Evidence is limited on differences in cesarean rates for nulliparous, term, singleton, vertex (NTSV) births across racial and ethnic groups at the national and state level during the COVID-19 pandemic. We assessed changes in levels and trends of NTSV cesarean rates before and after stay-at-home orders (SAHOs) were implemented in the United States (1) overall, (2) by racial and ethnic groups, and (3) by 50 US states from January 2017 through December 2021. Methods: We used birth certificate data from 2017 through 2021, restricted to hospital births, to calculate monthly NTSV cesarean rates for the United States and for racial and ethnic groups and to calculate quarterly NTSV cesarean rates for the 50 states. We used interrupted time-series analysis to measure changes in NTSV cesarean rates before and after implementation of SAHOs (March 1 through May 31, 2020). Results: Of 6 022 552 NTSV hospital births, 1 579 645 (26.2%) were cesarean births. Before implementation of SAHOs, NTSV cesarean rates were declining in the United States overall; were declining among births to non-Hispanic Asian, non-Hispanic Black, Hispanic, and non-Hispanic White women; and were declining in 6 states. During the first month of implementation of SAHOs in May 2020, monthly NTSV rates increased in the United States by 0.55%. Monthly NTSV rates increased by 1.20% among non-Hispanic Black women, 0.90% among Hispanic women, and 0.28% among non-Hispanic White women; quarterly NTSV rates increased in 6 states. Conclusion: In addition to emergency preparedness planning, hospital monitoring, and reporting of NTSV cesarean rates to increase provider awareness, reallocation and prioritization of resources may help to identify potential strains on health care systems during public health emergencies such as the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Introduction: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey). Methods: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18–39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories. Results: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics. Discussion: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM. Significance: What is Already Known on this Subject?: Gestational diabetes mellitus (GDM) prevalence varies by data system and population. Estimates of GDM prevalence are essential to inform prevention, identification, and management programs. What this Report Adds?: GDM prevalence estimates varied widely by data system (NVSS, SID, PRAMS) and participant demographics varied only slightly when a subset of comparable data were evaluated using jurisdictions available in all three systems (21 states and the District of Columbia). Understanding the differences between surveillance data systems can help researchers better identify people and places at higher risk of GDM. [ABSTRACT FROM AUTHOR]

Macro-level events such as elections can improve or harm population health across existing axes of stratification through policy changes and signals of inclusion or threat. This study investigates whether rates of, and disparities in, adverse birth outcomes between racialized and nativity groups changed after Donald Trump's November 2016 election, a period characterized by increases in xenophobic and racist messages, policies, and actions in the United States. Using data from 15,568,710 U.S. births between November 2012 and November 2018, we find that adverse birth outcomes increased after Trump's election among U.S.- and foreign-born mothers racialized as Black, Hispanic, and Asian and Pacific Islander (API), compared with the period encompassing the two Obama presidencies. Results for Whites suggest no change or a slight decrease in adverse outcomes following Trump's election, yet this finding was not robust to checks for seasonality. Black–White, Hispanic–White, and API–White disparities in adverse birth outcomes widened among both U.S.- and foreign-born mothers after Trump's election. Our findings suggest that Trump's election was a racist and xenophobic macro-level political event that undermined the health of infants born to non-White mothers in the United States. [ABSTRACT FROM AUTHOR]

Introduction: Nationally, cesarean birth is one of the most performed surgical procedures, yet cesarean births have been linked to an increased risk of delivery complications. Prenatal care (PNC) and education are possible strategies to reduce the number of cesarean births. However, there is scant research assessing the impact of these strategies on safely reducing primary cesarean births. This study evaluates the association between the adequacy of PNC utilization and primary cesarean birth. Methods: The analysis used 2018 birth certificate data, and the sample included nulliparous women with no reported pregnancy or delivery complications (N = 729,140). Logistic regression was used to model the association between the adequacy of PNC utilization and delivery method, as well as identify other factors associated with the delivery method. Results: Among women with a primary cesarean birth, 36.2% had received adequate plus PNC. After adjustment, there was no significant association between women receiving inadequate, intermediate, or adequate PNC and primary cesarean birth. However, women who received adequate plus PNC had an increased odds of having a primary cesarean birth compared to women with no PNC (OR, 1.23; 95% CI, 1.18–1.28). Discussion: Findings from this study highlight the need to further understand the role of PNC and its potential impact on the delivery method. Within the patient-provider relationship, healthcare providers have the unique opportunity to provide education and inform patients of the risks and benefits of all delivery options. Thus, there is an increased opportunity to safely reduce primary cesarean births. Significance: In the United States, cesarean births remain relatively high and are associated with potentially adverse effects. However, literature describing the potential impact of strategies to reduce cesarean births, such as prenatal care, and its association with the delivery method is lacking. Using 2018 birth certificate data, researchers were able to evaluate the adequacy of prenatal care utilization and primary cesarean birth association. This study found that women with a high utilization of prenatal care were more likely to have a primary cesarean birth; therefore, healthcare providers are essential in advising pregnant women about the risks and benefits of primary cesarean birth. [ABSTRACT FROM AUTHOR]

Purpose: Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA. Design/methodology/approach: A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables. Findings: During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ2 (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65). Originality/value: In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction. [ABSTRACT FROM AUTHOR]

To determine how demographic and clinical predictors of home birth have changed since the onset of the COVID-19 pandemic in the US. Using National Vital Statistics birth certificate data, a retrospective population-based cohort study was performed with planned home births and hospital births among women age ≥18 years during calendar years 2019 (pre-pandemic) and 2021 (pandemic-era). Birth location (planned home birth vs. hospital birth) was analyzed using univariate and multivariable logistic regression, systematically examining the interaction of each demographic and clinical covariate with study year. After exclusions, a total of 6,087,768 birth records were retained for analysis, with the proportion of home births increasing from 0.82 % in 2019 to 1.24 % in 2021 (p<0.001). In the final multivariable logistic regression model of planned home birth, five demographic variables retained a statistically significant interaction with year: race and ethnicity, age, educational attainment, parity, and WIC participation. In each case, demographic differences between those having planned home births and hospital births became smaller (odds ratios closer to 1) in 2021 compared to 2019. Planned home births increased by more than 50 % during the pandemic, with greater socioeconomic diversity in the pandemic-era home birth cohort. The presence of clinical risk factors remained a strong predictor of hospital birth, with no evidence that pandemic-era home births had a higher clinical risk profile as compared to the pre-pandemic period. [ABSTRACT FROM AUTHOR]

Policies about changing gender/sex on identity documents provide insights into definitions of gender/sex, and impact especially transgender and/or nonbinary lives. We investigated these on U.S. driver's licenses and birth certificates to understand variability in these policies, including in comparison to an earlier report in 2014, and to explore what kinds of "bio/logics" (decision rules rooted in biological or biologistic thinking) might be at play. Results show that the most common requirements in 2020 included proof of gender affirming surgery, a letter from a medical doctor, and hormone therapy. Compared to 2014, results showed an increase in requirements for hormone therapy and letters from therapists or medical doctors, and a decrease in requirements for gender affirming surgery. We highlight how this suggests a shift to "pubertal bio/logics": rooting gender/sex definitions in secondary sex characteristics. This contrasts with previous requirements that pointed to "newborn bio/logics": rooted in genital definitions of gender/sex affirmed by a surgico-medical authority. Both support policy framings of gender/sex as a biophenomenon, though with different impacts for trans and/or nonbinary livability. Our study provides insights into U.S. state definitions of gender/sex, and their multiple and contradictory biological views on gender/sex, with implications especially for transgender and/or nonbinary individuals' lives. [ABSTRACT FROM AUTHOR]

Objectives: Structural racism (SR) is viewed as a root cause of racial and ethnic disparities in maternal health outcomes. However, evidence linking SR to increased odds of severe adverse maternal outcomes (SAMO) is scant. This study assessed the association between state-level indicators of SR and SAMO during childbirth. Methods: Data for non-Hispanic Black and non-Hispanic white women came from the US Natality file, 2017–2018. The exposures were state-level Black-to-white inequity ratios for lower education level, unemployment, and prison incarceration. The outcome was patient-level SAMO, including eclampsia, blood transfusion, hysterectomy, or intensive care unit admission. Adjusted odds ratios (aORs) of SAMO associated with each ratio were estimated using multilevel models adjusting for patient, hospital, and state characteristics. Results: A total of 4,804,488 birth certificates were analyzed, with 22.5% for Black women. SAMO incidence was 106.4 per 10,000 (95% CI 104.5, 108.4) for Black women, and 72.7 per 10,000 (95% CI 71.8, 73.6) for white women. Odds of SAMO increased 35% per 1-unit increase in the unemployment ratio for Black women (aOR 1.35; 95% CI 1.04, 1.73), and 16% for white women (aOR 1.16; 95% CI 1.01, 1.33). Odds of SAMO increased 6% per 1-unit increase in the incarceration ratio for Black women (aOR 1.06; 95% CI 1.03, 1.10), and 4% for white women (aOR 1.04; 95% CI 1.02, 1.06). No significant association was observed between SAMO and the lower education level ratio. Conclusions for Practice: State-level Black-to-white inequity ratios for unemployment and incarceration are associated with significantly increased odds of SAMO. Significance: What is already known on this subject? Structural racism is viewed as a root cause of racial and ethnic disparities in maternal health outcomes, independent of socioeconomic determinants of health. However, supporting evidence is scant. What this study adds? In this population-based study in 2017–2018, state-level Black-to-white inequities in unemployment and incarceration are associated with significantly increased odds of severe adverse maternal outcomes (i.e., blood transfusion, hysterectomy, and ICU admission) during childbirth for non-Hispanic Black women, and to a lesser extent, for non-Hispanic white women. Addressing structural racism in maternal care may contribute to improving maternal health equity. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the impact of air pollution on birth outcomes in the USA over several decades. Approximately 70 million birth records were assessed for the years 1980–2020. This study focussed on seven measures of birth outcomes, including birth weight, low birth weight, very low birth weight, full-term birth weight, foetal growth, gestational age and very premature birth. An instrumental variable identification strategy was used that exploited within county-month and within month-year of birth variations in exposure to precipitation-induced changes in air pollution. Air pollution was found to have negative and large effects on a wide range of birth outcomes. The study findings suggest that a one-standard-deviation increase in ozone was associated with a 6.4% and 12.8% increase (from the mean) in the proportion of low birth weight and very preterm birth infants, respectively. Further analyses suggest that these effects were heterogeneous across trimesters of pregnancy and reveal larger impacts during the second and third trimesters. The results suggest that the ordinary least square estimates of previous studies considerably underestimate the true effects of pollution on birth outcomes. Policies that aim to improve the health capital of future generations should allocate more resources and initiatives to improving environmental air quality. [ABSTRACT FROM AUTHOR]

Many of the studies on the sex ratio at birth (SRB) are based on a small number of cases over a short period of time. Taking a multivariate approach to a dataset consisting of nearly 199 million birth records in the United States from 1968 to 2019, we present a detailed analysis of several possible factors that might affect the sex ratio at birth (SRB) and its patterns of variation. We found that race/ethnicity is the variable with the strongest influence on this index. Parental age, birth order and solar radiation also have a bearing on the SRB, albeit only to a moderate degree. The historical evolution of the SRB among Black and American Indian and Alaska Native populations remains unexplained. [ABSTRACT FROM AUTHOR]

Preterm birth occurs in 10% of all live births and creates challenges to neonatal life, which persist into adulthood. Significant previous work has been undertaken to characterize and understand the respiratory and cardiovascular sequelae of preterm birth, which are present in adulthood, i.e. "late" outcomes. However, many gaps in knowledge are still present and there are several challenges that will make filling these gaps difficult. In this perspective we discuss the obstacles of studying adults born preterm, including (1) the need for invasive (direct) measures of physiologic function; (2) the need for multistate, multinational, and diverse cohorts; (3) lack of socialized medicine in the United States; (4) need for detailed and better-organized birth records; and (5) transfer of neonatal and pediatric knowledge to adult care physicians. We conclude with a discussion on the "future" of studying preterm birth in regards to what may happen to these individuals as they approach middle and older age and how the improvements in perinatal and postnatal care may be changing the phenotypes observed in adults born preterm on or after the year 2000. [ABSTRACT FROM AUTHOR]

Objectives: We investigated the relationship between maternal hepatitis C virus (HCV) infection and infant health. Furthermore, we evaluated racial disparities with these associations. Methods: Using 2017 US birth certificate data, we investigated the association between maternal HCV infection and infant birthweight, preterm birth, and Apgar score. We used unadjusted and adjusted linear regression and logistic regression models. Models were adjusted for use of prenatal care, maternal age, maternal education, maternal smoking status, and the presence of other sexually transmitted infections. We stratified the models by race to describe the experiences of White and Black women separately. Results: Maternal HCV infection was associated with reduced infant birthweight on average by 42.0 g (95% CI: -58.81, -25.30) for women of all races, 64.6 g (95% CI: -81.91, -47.26) for White women and 80.3 g (95% CI: -162.48, 1.93) for Black women. Women with maternal HCV infection had increased odds of having a preterm birth of 1.06 (95% CI: 0.96, 1.17) for women of all races, 1.06 (95% CI: 0.96, 1.18) for White women and 1.35 (95% CI: 0.93, 1.97) for Black women. Overall, women with maternal HCV infection had increased odds 1.26 (95% CI: 1.03, 1.55) of having a low/intermediate Apgar score; White and Black women with HCV infection had similarly increased odds of an infant with low/intermediate Apgar score in a stratified analysis: 1.23 (95% CI: 0.98, 1.53) for White women and 1.24 (95% CI: 0.51, 3.02) for Black women. Conclusions: Maternal HCV infection was associated with lower infant birthweight and higher odds of having a low/intermediate Apgar score. Given the potential for residual confounding, these results should be interpreted with caution. [ABSTRACT FROM AUTHOR]

Induction of labor (IOL) rates in the United States have nearly tripled since 1990. We examine official U.S. birth records to document increases in states' IOL rates among pregnancies to Black, Latina, and White women. We test if the increases are associated with changes in demographic characteristics and risk factors among states' racial-ethnic childbearing populations. Among pregnancies to White women, increases in state IOL rates are strongly associated with changes in risk factors among White childbearing populations. However, the rising IOL rates among pregnancies to Black and Latina women are not due to changing factors in their own populations but are instead driven by changing factors among states' White childbearing populations. The results suggest systemic racism may be shaping U.S. obstetric care whereby care is not "centered at the margins" but is instead responsive to characteristics in states' White populations. [ABSTRACT FROM AUTHOR]

Introduction In December 2019, the minimum legal sales age (MLSA) for tobacco products in the United States was raised from 18 to 21 years as a measure of preventing smoking initiation. Smoking during pregnancy, which causes maternal, fetal, and infant morbidity and mortality, is a major public health concern. We first study the effects of purchase restrictions on smoking during different stages of pregnancy covering the entire United States and using the records of all live births during 2014–2018 by birthing people aged 18–21 years. Aims and Methods Our identification strategy utilizes the variation in the MLSA of tobacco products over time and across counties in the United States during 2014–2018 using a two-way fixed effects model, modified to accommodate a partially observable treatment indicator. Results The results show that 37.4% of potential smokers in our study population would have been prevented from smoking before pregnancy, 50.5% during the first trimester, 53.4% during the second trimester, and 14.8% during the third trimester if the law prevented selling tobacco products to them in the locality they live. A purchase restriction is estimated to cause the smoking intensity of those who smoke, the intensive margin, to drop by 5.4% before pregnancy, 10.4% during the first trimester, 14.8% during the second trimester, and 5.2% during the third trimester. Conclusions Our results show that purchase restrictions are highly effective in preventing smoking among birthing people in the 18–21 years age group. The effect on smoking prevalence during the first and second trimesters is more pronounced. Implications Many countries around the world have recently tightened age-based purchase restriction policies as a tobacco control measure. We first study the effects of purchase restrictions on smoking during different stages of pregnancy using the birth records of all pregnancies in the United States by birthing people aged 18–21 years during 2014–2018. The study utilizes the variation in the MLSA of tobacco products over time and across counties during that period. Our results show that purchase restrictions are highly effective in preventing smoking among birthing people in the 18–21 years age group. [ABSTRACT FROM AUTHOR]

Objectives: We aim to contribute to the literature reporting tests of selection in utero. The theory of reproductive suppression predicts that natural selection would conserve mechanisms, referred to collectively as selection in utero, that spontaneously abort fetuses unlikely to thrive as infants in the prevailing environment. Tests of this prediction include reports that women give birth to fewer than expected male twins, historically among the frailest of infants, during stressful times. The onset of the COVID-19 pandemic in the United States in Spring 2020 demonstrably stressed the population. We test the hypothesis that conception cohorts in gestation at the onset of the pandemic in the United States yielded fewer than expected live male twin births. Methods: We retrieved deidentified data on the universe of live births in the United States from the National Center for Health Statistics birth certificate records. We applied Box-Jenkins time-series methods to the twin secondary sex ratio computed for 77 monthly conception cohorts spanning August 2013 to December 2019 to detect outlying cohorts in gestation at the onset of the pandemic. Results: The twin secondary sex ratio fell below expected values in three conception cohorts (i.e., July, September, and October 2019, all p < .05) exposed in utero to the onset of the pandemic. Conclusions: Our results add to prior findings consistent with selection in utero. The role of selection in utero in shaping the characteristics of live births cohorts, especially during the COVID-19 pandemic, warrants further scrutiny. [ABSTRACT FROM AUTHOR]

Background: Nearly 40% of pregnant women in 2016 were enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). Prior studies have investigated nutritional behaviors among WIC participants and access to WIC breastfeeding counseling services. However, there are no (few?) nationally representative, large‐scale analyses of WIC users and pregnancy behaviors. Thus, the present study aims to examine associations between WIC use and select pregnancy outcomes among Medicaid enrollees. Methods: We examined pregnancy‐related behaviors and outcomes using 2018 U.S. Birth Certificates for Medicaid patients aged 18–45 years (N = 1 159 263). Outcomes included prenatal care (PNC) adequacy, breastfeeding initiation, cigarette use, and gestational weight gain. Standard binary and multinomial logistic regressions were used to estimate odds ratios (OR) and 95% confidence intervals (CIs). Results: After adjustment, WIC users had statistically significant increased odds of adequate PNC (adjusted OR [AOR] = 1.31 [95% CI 1.30, 1.32]), cigarette use (quit smoking during pregnancy 1.09 [1.07, 1.11]; smoked throughout pregnancy 1.16 [1.14, 1.18], and exceeding recommendations of weight gain 1.07 [1.06, 1.08]) compared with non‐WIC users. WIC enrollees also experienced decreased odds of breastfeeding initiation (0.85 [0.85, 0.86]) compared with non‐WIC users. Conclusions: The study underscores the value of the WIC program in improving access to PNC. Yet, low‐income women remain at risk for smoking during pregnancy and exceeding the recommended amount of weight gain. Breastfeeding initiation is lower than anticipated among WIC participants. Additional studies are needed to investigate WIC program efficacy. [ABSTRACT FROM AUTHOR]

Background: Trends in the prevalence of hepatitis C virus (HCV) infection among women delivering live births may differ in rural vs. urban areas of the United States, but estimation of trends based on observed counts may lead to unstable estimates in rural counties due to small numbers. Objectives: The objective of the study was to use small area estimation methods to provide updated county‐level prevalence estimates and, for the first time, trends in maternal HCV infection among live births by county‐level rurality. Methods: Cross‐sectional natality data from 2016 to 2020 were used to estimate maternal hepatitis C prevalence using hierarchical Bayesian models with spatiotemporal random effects to produce annual county‐level estimates of maternal HCV infection and trends over time. Models included a 6‐level rural–urban county classification, year, maternal characteristics and county‐specific covariates. Data were analysed in 2022. Results: There were 90,764/18,905,314 live births (4.8 per 1000) with HCV infection reported on the birth certificate. Hepatitis C prevalence was higher among rural counties as compared to urban counties. Rural counties had the largest annual increases in maternal hepatitis C prevalence (per 1000 births) from 2016 to 2020 (micropolitan: 0.39; noncore: 0.40), with smaller increases among less densely populated urban counties (medium metro: 0.28; small metro: 0.28) and urban counties (large central metro:0.11; large fringe metro: 0.14). Conclusions: The prevalence of maternal HCV infection was the highest in rural counties, and rural counties saw the greatest average prevalence increase during 2016–2020. County‐level data can help in monitoring rural–urban trends in maternal HCV infection to reduce geographic disparities. [ABSTRACT FROM AUTHOR]

Background: The United States (US) data suggest fewer‐than‐expected preterm births in 2020, but no study has examined the impact of exposure to the early COVID‐19 pandemic at different points in gestation on preterm birth. Objective: Our objective was to determine—among cohorts exposed to the early COVID‐19 pandemic—whether observed counts of overall, early and moderately preterm birth fell outside the expected range. Methods: We used de‐identified, cross‐sectional, national birth certificate data from 2014 to 2020. We used month and year of birth and gestational age to estimate month of conception for birth. We calculated the count of overall (<37 weeks gestation), early (<33 weeks gestation) and moderately (33 to <37 weeks gestation) preterm birth by month of conception. We employed time series methods to estimate expected counts of preterm birth for exposed conception cohorts and identified cohorts for whom the observed counts of preterm birth fell outside the 95% detection interval of the expected value. Results: Among the 23,731,146 births in our study, the mean prevalence of preterm birth among monthly conception cohorts was 9.7 per 100 live births. Gestations conceived in July, August or December of 2019—that is exposed to the early COVID‐19 pandemic in the first or third trimester—yielded approximately 3245 fewer moderately preterm and 3627 fewer overall preterm births than the expected values for moderate and overall preterm. Gestations conceived in August and October of 2019—that is exposed to the early COVID‐19 pandemic in the late second to third trimester—produced approximately 498 fewer early preterm births than the expected count for early preterm. Conclusions: Exposure to the early COVID‐19 pandemic may have promoted longer gestation among close‐to‐term pregnancies, reduced risk of later preterm delivery among gestations exposed in the first trimester or induced selective loss of gestations. [ABSTRACT FROM AUTHOR]

Objective: To determine whether the timing of placement of long acting, reversible contraception (LARC) methods postpartum (immediate postpartum (IPP) or interval (within 6 months postpartum) is associated with higher removal rates by 12 months postpartum.Study Design: We conducted a retrospective cohort study using linked Medicaid claims and birth certificate data (n = 313,849) from Oregon and South Carolina from January 1, 2010 to December 31, 2018. Our primary outcome was LARC (intrauterine device (IUD) or implant) removal by 12 months postpartum. We compared crude proportions and rates of removal and used a multivariable survival analysis to compare removal over 12 months between IPP and interval LARC placement controlling for sociodemographic and clinical factors and clustered at the woman level.Results: Our sample included 313,849 births to 247,884 women; a majority did not receive any postpartum contraception (207,058 [66.0%]). Out of the 54,018 (17.2%) of births followed by an immediate postpartum or interval LARC placement, 11.8% discontinued by 12 months. In multivariable analyses, births followed by IPP LARC were 10% more likely to experience discontinuation at any point up to 12 months compared with interval LARC (HR: 1.10, 95% CI: 1.00-1.22), but this was not statistically significant.Conclusion: IPP LARC devices are removed at similar rates as LARC placed within 6 months postpartum.Implications: Timing of postpartum long acting reversible contraception- interval or immediately postpartum- was not associated with 12 month removal rates. [ABSTRACT FROM AUTHOR]

Extraction of coal through mountaintop removal mining (MTR) alters many dimensions of the landscape. Explosive blasts, exposed rock, and coal washing have the potential to pollute air and water. Previous research suggests that infants born to mothers living in areas with MTR have a higher prevalence of birth defects. In this cross-sectional study, we further examine the relationship between MTR activity and several types of birth defects. Maternal exposure to MTR was assessed using remote sensing data from Skytruth, which captures MTR activity in the Central Appalachian region of the United States. Active MTR area was quantified within a five-kilometer buffer surrounding geocoded maternal address captured on birth records for live births to Appalachian Kentucky mothers between 1997 and 2003 (N = 95,581). We assigned high, medium, and low exposure based on the tertile of total MTR area within 5-km, and births with no MTR within this buffer were assigned zero exposure. The presence or absence of a birth defect grouped into six major organ systems was identified using birth records alone. Finally, we applied conditional multiple imputation for variables with missing values before conducting separate multivariable log-binomial regression models for each birth defect group. Prevalence ratio (PR) estimates were adjusted for individual level covariates from birth records. The prevalence of gastro-intestinal defects was significantly higher in birth records with high and low active MTR exposure compared to records with no exposure. (High exposure: PR = 1.99, 95% CI = 1.14–3.47; low exposure PR = 1.88, 95% CI = 1.06–3.31). This study supports some of the existing findings of previous ecological studies. Research addressing the relationship between gastro-intestinal birth defects and MTR coal mining is warranted but should carefully consider temporal dimensions of exposure. [ABSTRACT FROM AUTHOR]

Objective: To determine whether the type (intrauterine device or implant) or timing (immediately postpartum vs interval) of postpartum long-acting reversible contraception was associated with a reduction in short interpregnancy interval births.Study Design: We conducted a retrospective cohort study using linked Medicaid claims and birth certificate data from Oregon and South Carolina, 2010 to 2018. Our primary outcome was short interpregnancy interval, defined as repeat pregnancy within 18 months of the index delivery. We determined postpartum contraceptive method and timing of receipt. To assess the association of timing of long acting reversible contraception with short interpregnancy interval, we calculated adjusted probabilities from a logistic regression model incorporating covariate balanced propensity score weights, sociodemographic factors, and clustered at the woman-level.Results: Our study sample included 121,422 births to 97,084 individuals who had more than 1 birth during the study period; 41% had a short interpregnancy interval. A majority of individuals had not received any contraception by 6 months postpartum (68.6%). Overall, 15,477 individuals used long acting reversible contraception postpartum, with the majority receiving interval rather than immediate postpartum long acting reversible contraception (92.9% vs 7.1%). In multivariable analyses, both immediate postpartum (23.0%, 95% CI: 20.5%-25.8%) and interval long acting reversible contraception (15.2%, 95% CI: 14.4%-16.1%) are associated with a lower probability of short interpregnancy interval than short acting methods (42.1%, 95% CI: 41.2%-43.0%).Conclusion: Compared to short-acting methods, receipt of both immediate postpartum and interval long-acting reversible contraception is associated with lower probabilities of a subsequent short interpregnancy interval.Implications: All long acting, reversible contraception, whether placed immediately postpartum or on an interval basis, was associated with a significantly lower probability of a short interpregnancy interval than short acting or no contraceptive method. [ABSTRACT FROM AUTHOR]

In any month, administrative data collected by government agencies contain a fraction of the polity's adults, namely those who have interacted with government agencies in that month. For researchers and policymakers who want to evaluate questions that require a spatial location of the whole population of adults at a given time (e.g. job–residence spatial mismatch, impacts of local policies), these fragmentary records are insufficient. Combining administrative data from several agencies in the State of Washington, United States (US), we impute residential histories by parameterizing the 'decay' in maintenance of an observed address. This process yields an imputed population whose demography and geographic distribution matches well with survey estimates. This work uses driving licence, voter, social services, and birth records to append address locations to Unemployment Insurance data, a process that could be replicated with administrative records in other US states and countries with sporadic address data from various agencies. [ABSTRACT FROM AUTHOR]

Sudden unexpected infant death (SUID) disproportionately affects non-Hispanic Black (NHB) and American Indian/Alaskan Native infants, who have lower rates of breastfeeding than other groups. Using 13,077,880 live-birth certificates and 11,942 linked SUID death certificates from 2015 through 2018, we calculated odds ratios and adjusted risk differences of SUID in infants who were not breastfed across 5 racial/ethnic strata in the United States. We analyzed mediation by not breastfeeding in the race/ethnicity–SUID association. The overall SUID rate was 0.91 per 1,000 live births. NHB and American Indian/Alaskan Native infants had the highest disparity in SUID relative to non-Hispanic White infants. Overall, not breastfeeding was associated with SUID (adjusted odds ratio (aOR), 1.14; 95% confidence interval (CI): 1.10, 1.19), and the adjusted risk difference was 0.12 per 1,000 live births. The aOR of not breastfeeding for SUID was 1.07 (95% CI: 1.00, 1.14) in NHB infants and 1.29 (95% CI: 1.14, 1.46) in Hispanic infants. Breastfeeding minimally explained the higher SUID risk in NHB infants (2.3% mediated) and the lower risk in Hispanic infants (2.1% mediated) relative to non-Hispanic White infants. Competing risks likely explain the lower aOR seen in NHB infants of not breastfeeding on SUID, suggesting that social or structural determinants must be addressed to reduce racial disparities in SUID. [ABSTRACT FROM AUTHOR]

This study focused on how adopted adults who have reunited with at least one birth family member experienced identity shifts related to their original birth certificates (OBCs). Framed by the Communication Theory of Identity (CTI), 50 adopted adults discussed their experiences related to their OBCs and how their identities are connected to this symbol through three of the layers of CTI, the personal, enacted, and relational layers. Participants discussed the presence of an ambiguous and unsolvable identity that interpenetrated with their other identity layers. Findings extend CTI to include an additional layer for adoptees – phantom identity – which can explain the life adoptees would have lived had they not been adopted. This identity was salient for participants as it manifested in ways such as expressing frustration with obstacles in gaining access to their OBC and refocusing their professional life to support other adopted adults. Moreover, findings offer implications for the examination into current adoption record practices in the United States, additional state mutual consent registries, and increased access to adoption-competent counselors for adoptees. [ABSTRACT FROM AUTHOR]

In the United States (U.S.), between 2% and 10% of pregnant women have gestational diabetes mellitus (GDM). The purpose of this study is to assess the implications of GDM on pregnancy and birth outcomes as well as maternal morbidities and complications. Data from the 2019 U.S. Natality public file was analyzed on 3,423,238 singleton birth records. At the time of their pregnancy, women with GDM were more likely to be over the age of 30. Comorbidities of gestational hypertension/preeclampsia and eclampsia were substantially more common in pregnant women with GDM. Also, women with GDM were more likely to give birth via Cesarean section than those without the condition (p<.001). Newborns to mothers with GDM had a 7% higher chance of being preterm, a 29% higher chance of being low birth weight, and a 59% higher chance of being macrosomic (newborn weight =4000 grams) than newborns delivered to women without GDM. Early, targeted first-trimester screening and nutrition/exercise interventions for pregnant women at risk for GDM should be implemented to reduce adverse pregnancy and birth outcomes. [ABSTRACT FROM AUTHOR]

Background: The effect of epidural/spinal anesthesia during labor on breastfeeding is unclear. Few studies had assessed whether or how medically assisted delivery (operative vaginal delivery or unscheduled cesarean birth) plays a mediating role. We aimed to examine whether the relationship between using epidural/spinal anesthesia and breastfeeding is mediated by increased medically assisted delivery among healthy nulliparous women. Methods: A secondary, cross‐sectional analysis was conducted using US birth certificate data from 2016 (n = 381 199). Logistic regression was used to examine associations between factors. Structural equation modeling (SEM) was used to analyze the model fit of the path models and to quantify the direct, indirect, and total effect of anesthesia on breastfeeding at discharge, considering medically assisted delivery as a mediator. Results: Women who were administered epidural/spinal anesthesia were more likely to experience medically assisted delivery (adjusted odds ratio [AOR]: 95% confidence interval [CI] 3.01 (2.91‐3.12)) and less likely to be breastfeeding at discharge (0.95 [0.92‐0.98]). Operative vaginal and unscheduled cesarean deliveries were significantly associated with nonbreastfeeding at discharge (0.81 [0.77‐0.84] and 0.81 [0.79‐0.84], respectively). SEM revealed excellent model fit for our model. The indirect effect was significant (β = −0.038; 95% CI, −0.043 to −0.033), as was the total effect (β = −0.038; 95% CI, −0.043 to −0.033). Conclusions: Epidural/spinal anesthesia is associated with nonbreastfeeding at discharge, mediated through medically assisted delivery. Health care providers should consider these risks and provide adequate support to help all parents attain their breastfeeding goals. [ABSTRACT FROM AUTHOR]

Women in the United States are much more likely to become mothers as teens than those in other rich countries. Teen births are particularly likely to be reported as unintended, leading to debate over whether better information on sex and contraception might lead to reductions in teen births. We contribute to this debate by providing causal evidence at the population level. Our causal identification strategy exploits county-level variation in the timing and receipt of federal funding for more comprehensive sex education and data on age-specific teen birth rates at the county level constructed from birth certificate natality data covering all births in the United States. Our results show that federal funding for more comprehensive sex education reduced county-level teen birth rates by more than 3%. Our findings thus complement the mixed evidence to date from randomized control trials on teen pregnancies and births by providing population-level causal evidence that federal funding formore comprehensive sex education led to reductions in teen births. [ABSTRACT FROM AUTHOR]

Objective: To assess whether application of a standard algorithm to hospitalizations in the prenatal and postpartum (42 days) periods increases identification of severe maternal morbidity (SMM) beyond analysis of only the delivery event.Methods: We performed a retrospective cohort study using data from the PELL (Pregnancy to Early Life Longitudinal) database, a Massachusetts population-based data system that links records from birth certificates to delivery hospital discharge records and nonbirth hospital records for all birthing individuals. We included deliveries from January 1, 2009, to December 31, 2018, distinguishing between International Classification of Diseases Ninth (ICD-9) and Tenth Revision (ICD-10) coding. We applied the modified Centers for Disease Control and Prevention algorithm for SMM used by the Alliance for Innovation on Maternal Health to hospitalizations across the antenatal period through 42 days postpartum. Morbidity was examined both with and without blood transfusion.Results: Overall, 594,056 deliveries were included in the analysis, and 3,947 deliveries met criteria for SMM at delivery without transfusion and 9,593 with transfusion for aggregate rates of 150.1 (95% CI 146.7-153.5) using ICD-9 codes and 196.6 (95% CI 189.5-203.7) using ICD-10 codes per 10,000 deliveries. Severe maternal morbidity at birth increased steadily across both ICD-9 and ICD-10 from 129.4 in 2009 (95% CI 126.2-132.6) using ICD-9 to 214.3 per 10,000 (95% CI 206.9-221.8) in 2018 using ICD-10. Adding prenatal and postpartum hospitalizations increased cases by 21.9% under both ICD-9 and ICD-10, resulting in a 2018 rate of 258.7 per 10,000 (95% CI 250.5-266.9). The largest increase in detected morbidity in the prenatal or postpartum time period was attributed to sepsis cases.Conclusion: Inclusion of prenatal and postpartum hospitalizations in the identification of SMM resulted in increased ascertainment of morbid events. These results suggest a need to ensure surveillance of care quality activities beyond the birth event. [ABSTRACT FROM AUTHOR]

Objectives: This report presents final 2022 infant mortality statistics by age at death, maternal race and Hispanic origin, maternal age, gestational age, leading causes of death, and maternal state of residence. Trends in infant mortality are also examined., Methods: Descriptive tabulations of data are presented and interpreted for infant deaths and infant mortality rates using the 2022 period linked birth/infant death file. The linked birth/infant death file is based on birth and death certificates registered in all 50 states and the District of Columbia., Results: A total of 20,577 infant deaths were reported in the United States in 2022, up 3% from 2021. The U.S. infant mortality rate was 5.61 infant deaths per 1,000 live births, a 3% increase from the rate of 5.44 in 2021. The neonatal mortality rate increased 3% from 3.49 in 2021 to 3.59 in 2022, and the postneonatal mortality rate increased 4% from 1.95 to 2.02. The overall infant mortality rate increased for infants of American Indian and Alaska Native non-Hispanic, White non-Hispanic, and Dominican women in 2022 compared with 2021; changes in rates for the other race and Hispanic-origin groups were not significant. Infants of Black non-Hispanic women had the highest mortality rate (10.90) in 2022, followed by infants of American Indian and Alaska Native non-Hispanic and Native Hawaiian or Other Pacific Islander non-Hispanic (9.06 and 8.50, respectively), Hispanic (4.89), White non-Hispanic (4.52), and Asian non-Hispanic (3.51) women. Mortality rates increased from 2021 to 2022 among preterm (less than 37 weeks of gestation) infants (33.59 to 34.78) and for infants born term (37 to 41 weeks of gestation) (2.08 to 2.18). The five leading causes of infant death in 2022 were the same as in 2021. Infant mortality rates by state for 2022 ranged from a low of 3.32 in Massachusetts to a high of 9.11 in Mississippi.

Introduction: The prevalence of hepatitis C virus infection among women delivering live births in the U.S. may be higher in rural areas where county-level estimates may be unreliable. The aim of this study is to model county-level maternal hepatitis C virus infection among deliveries in the U.S.Methods: In 2020, U.S. natality files (2010-2018) with county-level maternal residence information were used from states that had adopted the 2003 revised U.S. birth certificate, which included a field for hepatitis C virus infection present during pregnancy. Hierarchical Bayesian spatial models with spatiotemporal random effects were applied to produce stable annual county-level estimates of maternal hepatitis C virus infection for years when all states had adopted the revised birth certificate (2016-2018). Models included a 6-Level Urban-Rural County Classification Scheme along with the birth year and county-specific covariates to improve posterior predictions.Results: Among approximately 32 million live births, the overall prevalence of maternal hepatitis C virus infection was 3.5 per 1,000 births (increased from 2.0 in 2010 to 5.0 in 2018). During 2016-2018, posterior predicted median county-level maternal hepatitis C virus infection rates showed that nonurban counties had 3.5-3.8 times higher rates of hepatitis C virus than large central metropolitan counties. The counties in the top 10th percentile for maternal hepatitis C virus rates in 2018 were generally located in Appalachia, in Northern New England, along the northern border in the Upper Midwest, and in New Mexico.Conclusions: Further implementation of community-level interventions that are effective in reducing maternal hepatitis C virus infection and its subsequent morbidity may help to reduce geographic and rural disparities. [ABSTRACT FROM AUTHOR]

Background: Asian Americans are among the fastest growing subpopulations in the United States. However, evidence about maternal prepregnancy body mass index (BMI) and preterm birth among Asian Americans is lacking. Methods: This population‐based study used nationwide birth certificate data from the US National Vital Statistics System 2014 to 2018. All Asian American mothers who had a singleton live birth were included. According to Asian‐specific cutoffs, maternal prepregnancy BMI was classified into underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5‐22.9 kg/m2), overweight (BMI 23.0‐27.4 kg/m2), class I obesity (BMI 27.5‐32.4 kg/m2), class II obesity (BMI 32.5‐37.4 kg/m2), and class III obesity (BMI ≥37.5 kg/m2). Preterm birth was defined as gestational age less than 37 weeks. Multivariable logistic regression models were used to estimate the odds ratio (OR) of preterm birth. Results: We included 1 081 341 Asian American mother‐infant pairs. The rate of preterm birth was 6.51% (n = 70 434). The rate of maternal prepregnancy overweight and obesity was 46.80% (n = 506 042). Compared with mothers with normal weight, the adjusted OR of preterm delivery was 1.04 (95% CI, 1.01‐1.07) for underweight mothers, 1.18 (95% CI, 1.16‐1.20) for overweight mothers, 1.41 (95% CI, 1.37‐1.44) for mothers with class I obesity, 1.69 (95% CI, 1.63‐1.76) for mothers with class II obesity, and 1.78 (95% CI, 1.66‐1.90) for mothers with class III obesity. Similar patterns of associations were observed in Asian American mothers across different country origins. Conclusions: Among Asian American mothers, maternal prepregnancy overweight or obesity, defined by Asian‐specific, lower BMI cutoffs, was significantly associated with an increased risk of preterm birth. The risk of preterm birth increased with increasing obesity severity. These findings highlight the importance of using Asian‐specific BMI cutoffs in assessing risk of preterm birth among Asian American mothers. [ABSTRACT FROM AUTHOR]

Maternal reproductive health is facing significant challenges in the United States. Currently, the nation has the highest maternal death rate among high-income countries, and the rate continues to increase. Recent United States data indicate that 80% of maternal deaths are preventable, highlighting the urgent need for action on this critical issue. We analyzed United States national death certificate data and birth data from the CDC's wide-ranging online data for epidemiologic research databases. We estimated pregnancy-related mortality rates by state, age group and race, and ethnicity. We assessed cause-specific pregnancy-related mortality and late maternal death (i.e., deaths occurring >42 days and up to 1-year post-pregnancy). During 2018–2020, we observed 3364 pregnancy-related deaths, including 1006 late maternal deaths. The age-standardized mortality rate (ASR) increased by 37.2% from 25.4 (95% CI: 23.8–26.9) per 100,000 live births in 2018–34.7 (95% CI: 32.8–36.5) in 2020. Rates ranged from 16.8 per 100,000 to 57.5 per 100,000. If the national rate was reduced to the lowest state rate, 1448 pregnancy-related deaths could have been avoided. The rate among non-Hispanic Black people (ASR 2018–2020 = 70.7 per 100,000) was two to three times higher than other groups estimated. Cardiovascular conditions are the leading cause of pregnancy-related deaths overall, yet cancer was associated with 20% of late maternal death. Mental and behavioral disorders and drug and alcohol-induced death were also important contributors to late maternal death. We observed alarming trends of increasing pregnancy-related death rates in the United States. Our study provides important insights for identifying opportunities to reduce avoidable maternal deaths. [ABSTRACT FROM AUTHOR]

Although previous studies have found a relationship between having a preterm birth and maternal depression, methodologic issues may have limited the generalizability of results. Thus, the purpose of this study was to evaluate the relationship between having a preterm birth and postpartum depressive symptoms using a large, population-based sample of U.S. women. This secondary data analysis used 2012–2014 U.S. Pregnancy Risk Assessment Monitoring System data (N = 89,366). Data on the exposure, preterm birth, were obtained from birth certificates. Infants born at 32 to less than 37 weeks' gestation were considered moderate to late preterm, infants born at 28 to less than 32 full weeks' gestation were considered very preterm, and infant born at less than 28 full weeks' gestation were considered extremely preterm. To assess the outcome, two Pregnancy Risk Assessment Monitoring System questions measuring postpartum depressive symptoms were used. Logistic regression was used to calculate unadjusted and adjusted odds ratios (ORs) and 95% confidence interval (CIs). After adjustment for confounders, the relationship between having a preterm birth and maternal hopelessness was statistically significant for those who had very preterm and extremely preterm births (moderate to late preterm OR, 1.19; 95% CI, 1.00–1.42; very preterm OR, 1.28; 95% CI, 1.04–1.58; extremely preterm OR, 1.81; 95% CI, 1.31–2.49). In addition, after adjustment, findings indicated no association between preterm birth and maternal loss of interest (extremely preterm OR, 0.85 95% CI, 0.60–1.19; very preterm OR, 1.04; 95% CI, 0.86–1.26; preterm OR, 0.95; 95% CI, 0.82–1.10). Given the statistically significant increased association between having a preterm birth and postpartum depressive symptoms, health professionals may consider implementing comprehensive screening for depression and other mental illnesses among women who give birth prematurely. Findings may also inform future interventions to emphasize the importance of postpartum care among women who have experienced preterm birth. [ABSTRACT FROM AUTHOR]

Introduction: The 14th amendment of the United States (US) Constitution guarantees citizenship to infants born in the US. With documentation of citizenship, typically through a birth certificate, neonates gain official identity and the opportunity to qualify for services like healthcare. Most guidance on caring for immigrant children assumes that access to health care is guaranteed for babies born in the US. In practice, some infants born to non-citizen mothers face barriers in obtaining services fundamental to neonatal health. Methods: We conducted a review of the literature to identify articles on access to care for infants born to non-citizen mothers in the US. Because of the scarcity of relevant peer-reviewed published literature on this topic, the search was broadened to grey literature including news articles, online articles, and legal reviews. Using these aggregated sources, we created a framework for understanding maternal immigration status and barriers to healthcare for neonates born in the US. We discuss risk factors from the public health, historical and ethical perspectives. Results: Barriers exist for some mother-infant dyads in obtaining services such as healthcare, health insurance and supplemental nutrition programs. At-risk dyads include neonates of undocumented immigrants and birth tourists as well as neonates born to women on visas. The impact of these barriers on health-seeking behaviors, access to care, and health outcomes for these neonates is largely unknown. Discussion: The framework for understanding challenges of non-citizen mothers and their infants that we present in this article provides a resource for physicians and public health professionals serving this population. That much of the literature exists outside of healthcare highlights the need for more scholarly work on this problem. Future research will better inform advocacy and public health efforts to protect this vulnerable population of newborn citizens and their mothers. [ABSTRACT FROM AUTHOR]

In recent decades, several states have enacted their own immigration enforcement policies. This reflects substantial variation in the social environments faced by immigrants and native-born citizens, and has raised concerns about unintended consequences. E-Verify mandates, which require employers to use an electronic system to ascertain legal status as a pre-requisite for employment, are a common example of this trend. Drawing on birth certificate data from 2007 to 2014, during which 21 states enacted E-Verify mandates, we find that these mandates are associated with a decline in birthweight and gestational age for infants born to immigrant mothers with demographic profiles matching the undocumented population in their state as well as for infants of native-born mothers. In observing negative trends for both immigrants and natives, our findings do not support the hypothesis that E-Verify has a distinct impact on immigrant health; however, the broader economic, political, and demographic contexts that coincide with these policies, which likely impact the broader community of both immigrants and natives, may pose risks to infant health. [ABSTRACT FROM AUTHOR]

Focusing on the United States, Field and Syrett argue that the supposed universality of chronological age masks the processes through which legislators and government officials relied upon age to reinforce inequalities rooted in coverture and chattel slavery. Two case studies reveal how bureaucratic and legislative age requirements functioned in tandem to deny equal citizenship to women and formerly enslaved people. During the Civil War, Congress passed legislation to grant age-based Civil War pensions for minor children that appeared neutral in law but came to be administered in ways that denied equal benefits to the families of black Civil War soldiers on the grounds that they lacked adequate proof of age. State governments, meanwhile, continued to pass laws that differentiated between men and women in the realm of legal majority, using chronological age as a means to shore up gender inequality even as women gained new rights and opportunities. Recent conflicts over voter identification laws and age determination for child migrants reveal that chronological age remains a contested category through which government officials can deny equal treatment under the law by defining the criteria for what counts as adequate proof of age. Cracks in the modern regime of government-issued birth certificates reveal that age remains what it has always been: not a neutral fact, but a vector of power through which government officials and ordinary people construct and contest the boundaries of citizenship. [ABSTRACT FROM AUTHOR]

Objective  The burden of preeclampsia severity on the health of mothers and infants during the first year after delivery is unclear, given the lack of population-based longitudinal studies in the United States. Study design  We assessed maternal and infant adverse outcomes during the first year after delivery using population-based hospital discharge information merged with vital statistics and birth certificates of 2,021,013 linked maternal–infant births in California. We calculated sampling weights using the National Center for Health Statistics data to adjust for observed differences in maternal characteristics between California and the rest of the United States. Separately, we estimated the association between preeclampsia and gestational age and examined collider bias in models of preeclampsia and maternal and infant adverse outcomes. Results  Compared with women without preeclampsia, women with mild and severe preeclampsia delivered 0.66 weeks (95% confidence interval [CI]: 0.64, 0.68) and 2.74 weeks (95% CI: 2.72, 2.77) earlier, respectively. Mild preeclampsia was associated with an increased risk of having any maternal adverse outcome (relative risk [RR] = 1.95; 95% CI: 1.93, 1.97), as was severe preeclampsia (RR = 2.80; 95% CI: 2.78, 2.82). The risk of an infant adverse outcome was increased for severe preeclampsia (RR = 2.15; 95% CI: 2.14, 2.17) but only marginally for mild preeclampsia (RR = 0.99; 95% CI: 0.98, 1). Collider bias produced an inverse association for mild preeclampsia and attenuated the association for severe preeclampsia in models for any infant adverse outcome. Conclusion  Using multiple datasets, we estimated that severe preeclampsia is associated with a higher risk of maternal and infant adverse outcomes compared with mild preeclampsia, including an earlier preterm delivery. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the peripartum transfusion rates for rural women compared with urban women in the United States.Methods: In this population-based retrospective cohort study, geocoded birth records from 2014 to 2016 from the National Center for Health Statistics were used to examine the rural-urban differences in blood transfusion among nulliparous women delivering singleton, vertex pregnancies at term. We compared transfusion rates across the counties on a continuum from urban to rural. We generated a multivariable logistic regression model controlling for age, race, nativity, education, insurance, prenatal care, maternal health, gestational age, intrapartum care, mode of delivery, peripartum factors, and county of delivery.Results: Among 3,346,816 births, the transfusion rates based on maternal county of residence increased as the counties became more rural: large metropolitan-center (1.9/1,000 live births); large metropolitan-fringe (2.4); medium metropolitan (2.6); small metropolitan (2.6); micropolitan (4.5); and noncore rural (5.3). Rural women living and delivering in a rural county had more transfusions (8.5/1,000 live births) than women in more urban counties (2.5/1,000). After adjusting for key covariates, the odds of transfusion were higher among women living in micropolitan (adjusted odds ratio [aOR] 2.25, 95% CI 2.09-2.43) and noncore rural (aOR 2.59, 95% CI 2.38-2.81) counties when compared with women living in large metropolitan counties. County of delivery had a higher association with transfusion than resident county. After adding delivery county to the regression model, the association of transfusion and living in a micropolitan (aOR 1.39, 95% CI 1.19-1.63) or noncore rural (aOR 1.32, 95% CI 1.12-1.55) county diminished.Conclusion: The odds of blood transfusion were higher for women in rural areas. The results indicate that the rurality of the county where the birth occurred was associated with more transfusion. This may reflect differences in maternity and blood banking services in rural hospitals and warrants further study to identify opportunities for intervention. [ABSTRACT FROM AUTHOR]

Objective: To estimate Prenatal Care Coordination's (PNCC) effect on birth outcomes for Wisconsin Medicaid-covered deliveries.Data Source: A longitudinal cohort of linked Wisconsin birth records (2008-2012), Medicaid claims, and state-administered social services.Study Design: We defined PNCC treatment dichotomously (none vs. any) and by service level (none vs. assessment/care plan only vs. service uptake). Outcomes were birthweight (grams), low birthweight (<2500 g), gestational age (completed weeks), and preterm birth (<37 weeks). We estimated PNCC's effect on birth outcomes, adjusting for maternal characteristics, using inverse-probability of treatment weighted and sibling fixed effects regressions.Data Collection/extraction Methods: We identified 136 224 Medicaid-paid deliveries, of which 33 073 (24.3 percent) linked to any PNCC claim and 22 563 (16.6 percent) linked to claims for PNCC service uptake.Principal Findings: Sibling fixed effects models-which best adjust for unobserved confounding and treatment selection-produced the largest estimates for all outcomes. For example, in these models, PNCC service uptake was associated with a 1.3 percentage point (14 percent) reduction and a 1.8 percentage point (17 percent) reduction in the probabilities of low birthweight and preterm birth, respectively (all P < .05).Conclusions: PNCC's modest but significant improvement of birth outcomes should motivate stronger PNCC outreach and implementation of similar programs elsewhere. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of a voluntary pledge policy and a mandatory nonpayment policy on reducing early-term elective deliveries among privately insured and Medicaid-enrolled individuals.Data Sources/study Setting: Birth certificate data from 2009 to 2015, from South Carolina and 16 control states.Study Design: We use a difference-in-differences approach to test the impact of two different policy types. Outcomes include the probability of an early elective delivery, gestation time, and birthweight.Principal Findings: The voluntary pledge and mandatory nonpayment policy reduced overall EED rates from 13.1 to 11.4 (-12.7 percent, [P < .05]), and 10.9 ([-16.6 percent, P < .05]), respectively. Compared to the privately insured, we found greater relative decreases in Medicaid EED rate, the proportion of Medicaid births occurring before 39 weeks, and the proportion of Medicaid babies born with low birthweight.Conclusions: Both voluntary and mandatory nonpayment policies are effective in reducing the rate of EEDs, especially among Medicaid enrollees. Given the high costs and poor outcomes associated with EEDs, policy makers may consider using either tool as a way to improve care value. [ABSTRACT FROM AUTHOR]

The primary fertility index for a population, the total fertility rate (TFR), cannot be calculated for many areas and periods because it requires disaggregation of births by mother's age. Here we discuss a flexible framework for estimating TFR using inputs as minimal as a population pyramid. We develop five variants, each with increasing complexity and data requirements. We test accuracy across a diverse set of data sources that comprise more than 2,400 fertility schedules with known TFR values, including the Human Fertility Database, Demographic and Health Surveys, U.S. counties, and nonhuman species. We show that even the simplest and least accurate variant has a median error of only 0.09 births per woman over 2,400 fertility schedules, suggesting accurate TFR estimation over a wide range of demographic conditions. We anticipate that this framework will extend fertility analysis to new subpopulations, periods, geographies, and even species. To demonstrate the framework's utility in new applications, we produce subnational estimates of African fertility levels, reconstruct historical European TFRs for periods up to 150 years before the collection of detailed birth records, and estimate TFR for the United States conditional on race and household income. [ABSTRACT FROM AUTHOR]

Obesity is a known risk factor for adverse pregnancy outcomes; however, appropriate gestational weight gain (GWG) may mitigate these risks. We investigated whether the singular 2009 Institute of Medicine (IOM) GWG guidelines were appropriate for all women with obesity, or whether separate recommendations were needed by class. This cross-sectional study of pregnant women with obesity used 2014 U.S. birth certificate data (N=646,642) and included only term pregnancies. Adjusted log-binomial regression models examined the relative risk of adverse maternal, obstetric, and neonatal outcomes for pregnant women with class I–III obesity who: lost weight during pregnancy, gained below IOM guidelines, or gained above IOM guidelines, compared to women who gained within IOM guidelines. Most women (55.1; 95% CI: 55.0-55.3) gained above IOM guidelines. As BMI severity increased, significantly fewer women had excessive GWG (Class I: 61.6%, 95% CI: 61.4-61.7; II: 50.7%, 95% CI: 50.4-50.9; III: 41.1%, 95% CI: 40.8-41.4). All classes of women with obesity who lost weight during pregnancy or gained below had a significantly decreased risk for caesarean delivery (RR (95% CI) class I: 0.92 (0.90-0.94); II: 0.91 (0.89-0.93); III: 0.92 (0.90-0.93)) and large-for-gestational age (LGA) births (class I: 0.80 (0.77-0.83); II: 0.76 (0.73-0.78); III: 0.73 (0.70-0.75)), but significantly increased risk of small-for-gestational age (SGA) births (class I: 1.34 (1.26-1.43); II: 1.38 (1.28-1.49); III: 1.35 (1.24-1.46)). The observed pattern of association was the same for all obese classes, hence evidence supports a possible singular GWG recommendation for all women with obesity, regardless of class. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to synthesize findings on the effects of existing paid parental leave programs on infant mortality rates (IMR) in the USA as an attempt to aid in efforts for the development of a national paid parental leave policy. Design/methodology/approach: Three articles were reviewed to analyze findings on the effects of existing parental leave programs on IMR in the USA. Findings: The results from the three studies analyzed indicate that unpaid parental leave and parental leave with partial wage replacement can reduce IMR in households with college educated, working mothers. Research limitations/implications: This review is limited due to only having three studies available to synthesize that pertained to the USA. Implications for future research are to examine the effects of fully paid parental leave programs offered by individual organizations on IMR in the USA. Social implications: Providing a needs-based income replacement policy to mothers who wish to take parental leave after the birth of a child may be the best policy to decrease IMR for infants from all socioeconomic backgrounds. Originality/value: The findings in this review will aid in the ongoing efforts to develop a national paid parental leave policy in the USA. [ABSTRACT FROM AUTHOR]

Objective: To examine the impact of Oregon's Coordinated Care Organizations (CCOs), an accountable care model for Oregon Medicaid enrollees implemented in 2012, on neonatal and infant mortality.Data Sources: Oregon birth certificates linked with death certificates, and Medicaid/CCO enrollment files for years 2008-2016.Study Design: The sample consisted of the pre-CCO birth cohort of 135 753 infants (August 2008-July 2011) and the post-CCO birth cohort of 148 650 infants (August 2012-December 2015). We used a difference-in-differences probit model to estimate the difference in mortality between infants enrolled in Medicaid and infants who were not enrolled. We examined heterogeneous effects of CCOs for preterm and full-term infants and the impact of CCOs over the implementation timeline. All models were adjusted for maternal and infant characteristics and secular time trends.Principal Findings: The CCO model was associated with a 56 percent reduction in infant mortality compared to the pre-CCO level (-0.20 percentage points [95% CI: -0.35; -0.05]), and also with a greater reduction in infant mortality among preterm infants compared to full-term infants. The impact on mortality grew in magnitude over the postimplementation timeline.Conclusions: The CCO model contributed to a reduction in mortality within the first year of birth among infants enrolled in Medicaid. [ABSTRACT FROM AUTHOR]

Background: Several studies have examined the association between IPI and birth outcomes, but few have explored the association between interpregnancy interval (IPI) and postnatal outcomes.Objective: We examined the association between IPI and injury-related infant mortality, a leading cause of postneonatal mortality.Methods: We used 2011-2015 US period-linked birth-infant death vital statistics data to generate a multiyear birth cohort of non-first-born singleton births (N = 9 782 029). IPI was defined as the number of months between a live birth and the start of the pregnancy leading to the next live birth. Causes of death in the first year of life were identified using ICD-10 codes. Hazard ratios (HR) for IPI categories were estimated using Cox proportional hazards models adjusted for birth order, county poverty level, and maternal characteristics (marital status, race/ethnicity, education, age at previous birth).Results: After adjustment, overall infant mortality (48.1 per 10 000 births) was higher for short and long IPIs compared with IPI 18-23 months (reference): <6, aHR 1.61, 95% CI 1.54, 1.68; 6-11, aHR 1.22, 95% CI 1.17, 1.26; and 60+ months, aHR 1.12, 95% CI 1.08, 1.16. In comparison, the risk of injury-related infant mortality (4.4 per 10 000 births) decreased with longer IPIs: <6, aHR 1.77, 95% CI 1.55, 2.01; 6-11, aHR 1.41, 95% CI 1.25, 1.59; 12-17, aHR 1.25, 95% CI 1.10, 1.41; 24-59, aHR 0.78, 95% CI 0.69, 0.87; and 60+ months, aHR 0.55, 95% CI 0.48, 0.62.Conclusion: Unlike overall infant mortality, injury-related infant mortality decreased with IPI length. While injury-related deaths are rare, these patterns suggest that the timing between births may be a marker of risk for fatal infant injuries. The first year postpartum may be an ideal time for the delivery of evidence-based injury prevention programmes as well as family planning services. [ABSTRACT FROM AUTHOR]

Objective: To evaluate antenatal risk factors associated with failed induction of labor among obese women to develop a predictive model for induction of labor outcome.Methods: We conducted a population-based cohort study of all obese (body mass index higher than 30.0) women with singleton live births who underwent attempted induction of labor between 37 and 44 weeks of gestation in the United States from 2012 to 2016 using de-identified U.S live birth records. The primary objective was to build a predictive model for the probability of induction of labor failure using antenatal factors. Multivariable logistic regression estimated the association of these factors on risk of failed induction of labor. We performed k-fold cross-validation for internal validation and then externally validated the model using a separate live birth cohort from 2017 (n=197,982). An online calculator was developed after validation, and calibration was performed. The 10 variables selected for inclusion in the model in order of significance were prior vaginal delivery, prior cesarean delivery, maternal height, age, weight at delivery, parity, gestational weight gain, Medicaid insurance, pregestational diabetes, and chronic hypertension.Results: Among 19,844,580 live births in the United States between 2012 and 2016, 1,098,981 obese women with singleton pregnancies underwent induction of labor, of which 273,184 (24.9%) were unsuccessful. The receiver operator characteristic curve for the 10 variable model achieved an area under the curve (AUC) of 0.79 (95% CI 0.78-0.79). External validation demonstrated a consistent measure of discrimination, with an AUC curve of 0.77 (95% CI 0.76-0.77).Conclusion: This model provides valuable estimation as to the cumulative effect of multiple factors on the risk of failed induction of labor among obese parturients. The predictive model identifies women at increased or decreased risk (ie, greater than 75% vs less than 20%) for cesarean delivery. This risk calculator may be a useful tool for practitioners in the counseling, triaging, risk stratifying, and delivery planning for obese women before attempted induction of labor. [ABSTRACT FROM AUTHOR]

Background: Little is known about trial of labor after cesarean (TOLAC) uptake and vaginal birth after cesarean (VBAC) success on the national level, which is important as national-level data may help shape future clinical guidelines. This study examined correlates of trial of labor and successful VBAC among women with one prior cesarean in the United States in 2016. Materials and Methods: We used publically available birth certificate data for 2016. Outcomes were TOLAC among women with one prior cesarean (N = 338,311) and VBAC among women with a TOLAC (N = 76,688). We used logistic regression to assess the association between the outcomes and the following categories of independent variables: social determinants of health, demographic and medical factors impacting birth, behavioral factors, and geographic access. Results: About 23% of women had a TOLAC, and 74% of women with a TOLAC gave birth vaginally. Black women had higher odds of TOLAC relative to White women, but lower odds of successful VBAC. Women without a high school degree had higher odds of TOLAC and of successful VBAC compared to women who completed high school or beyond, as did women with inadequate prenatal care utilization. Conclusions: Understanding correlates of TOLAC and successful VBAC at the population level is important for developing national guidelines that can be considered and individualized at the patient/provider level. [ABSTRACT FROM AUTHOR]

Objectives: The current study examined the influence of early parental stress and positive parent personality during infancy on sleep in middle childhood. Further, the role of positive parent personality as a buffer of the association between parental stress and sleep was considered.Methods: Participants included 381 twins and their primary caregivers who were recruited from birth records in the United States. Primary caregivers completed survey assessments via phone when twins were 12 and 30 months of age to assess multiple dimensions of parental stress and positive parent personality. Approximately 6 years later (M = 5.78, SD = 0.42), twins participated in an intensive assessment that included wearing actigraph watches to provide an objective measurement of sleep, while primary caregivers completed daily diaries regarding twins' sleep.Results: Positive parent personality was associated prospectively with longer actigraphy sleep duration and higher parent-reported sleep quality/daytime functioning. Parental stress was associated prospectively with greater variability in sleep duration. Positive parent personality moderated the parental stress - sleep-timing relation, such that greater parental stress was associated with a later midpoint of the sleep period only for children with parents low on positive personality (e.g., low optimism). All other findings were non-significant.Conclusions: Findings suggest that both positive attributes and stress may influence sleep in middle childhood and that low parent positive personality may exacerbate associations between parental stress and later timing of sleep periods in children. Early interventions to promote healthy sleeping may consider focusing on decreasing parental stress and increasing parental empathy and optimism as early as infancy. Statement of contribution What is already known on this subject? Early-life experiences, especially adversity, have been related to health outcomes among adults and children, such that negative experiences are associated with poor health outcomes. Poor sleep (e.g., short duration, poor quality) among children is associated with negative outcomes including poorer cognitive performance and higher adiposity. What does this study add? This study used a prospective design to understand relations between early parent-related factors and child sleep. Early parental stress and positive parent personality were associated with objective sleep quality. Positive parent personality during infancy may have promotive/protective influences on sleep later in childhood. [ABSTRACT FROM AUTHOR]