Neighborhood context and birth outcomes: Going beyond neighborhood disadvantage, incorporating affluence

Associations between Parental Engagement in the Neonatal Intensive Care Unit and Neighborhood-Level Socioeconomic Status

OBJECTIVE

 This study aimed to (1) determine the effect of neighborhood-level socioeconomic status (SES), which considers the social and physical environment where a person lives, on parental engagement in the Neonatal Intensive Care Unit (NICU) and (2) compare the relationships between parental engagement and individual versus neighborhood-level measures of SES.

STUDY DESIGN

 In this cohort study, parents (n = 45) of premature neonates ≤34 weeks' gestation were assessed at 2 and 6 weeks after birth from December 2017 to October 2019. Neighborhood-level SES was determined using census data per the Association of Maternal and Child Health Programs' methodology, and parents self-reported their education level as an individual-level measure of SES. Data on frequency of engagement in NICU activities, including telephone updates, visitation, providing expressed breastmilk, and participating in kangaroo care, were collected from the electronic medical record. Parent psychosocial factors were assessed using validated surveys. Statistical analysis was performed using Fisher's exact test, t-test, and logistic regression.

RESULTS

 In multivariate regression analysis, disadvantaged neighborhood-level SES was associated with decreased odds of kangaroo care (OR = 0.16, 95% CI: [0.03-0.89]) and visitation (OR = 0.14, 95% CI: [0.02-0.87]), while lower individual-level SES was not significantly associated with kangaroo care, visiting, calling, or pumping (p > 0.05).

CONCLUSION

 Parental engagement was more consistently and significantly associated with neighborhood-level SES than with individual-level SES. Therefore, neighborhood-level SES measures may be more explanatory than individual-level SES measures. Further studies and targeted interventions are needed to address disparities in the frequency of kangaroo care and visitation according to SES.

KEY POINTS

· Parents from disadvantaged neighborhoods are less likely to do kangaroo care and visit the NICU.. · Parent engagement was more significantly associated with neighborhood than with parent education.. · Neighborhood-level SES measures may be more explanatory than individual-level SES measures.. · Interventions are needed to address SES-related disparities in NICU kangaroo care and visitation..

Neighborhood deprivation and racial differences in in vitro fertilization outcomes

BACKGROUND

There are significant racial disparities in in vitro fertilization outcomes, which are poorly explained by individual-level characteristics. Environmental factors such as neighborhood-level socioeconomic factors may contribute to these disparities. However, few studies have directly addressed this research question in a large, racially diverse cohort.

OBJECTIVE

This study aimed to investigate whether neighborhood deprivation is associated with differences in in vitro fertilization outcomes.

STUDY DESIGN

Our retrospective cohort study included 1110 patients who underwent 2254 autologous in vitro fertilization cycles between 2014 and 2019 at an academic fertility center in the Southeastern United States. Neighborhood deprivation was estimated using the Neighborhood Deprivation Index, a composite variable measuring community levels of material capital based on poverty, occupation, housing, and education domains. Using multivariable log-binomial generalized estimating equations with cluster weighting, risk ratios and 95% confidence intervals were estimated for cycle cancellation, miscarriage (defined as spontaneous pregnancy loss before 20 weeks after a confirmed intrauterine gestation), and live birth according to patient Neighborhood Deprivation Index.

RESULTS

There were positive associations between increasing Neighborhood Deprivation Index (indicating worsening neighborhood deprivation) and body mass index, as well as increasing prevalence of tubal and uterine factor infertility diagnoses. The crude probability of live birth per cycle was lower among Black (24%) than among White patients (32%), and the crude probability of miscarriage per clinical pregnancy was higher among Black (22%) than among White patients (12%). After adjustment, the Neighborhood Deprivation Index was not significantly associated with risk of cycle cancellation or live birth. Results were consistent when analyses were stratified by race.

CONCLUSION

Our research demonstrates racial disparities between Black and White women in the incidence of miscarriage and live birth following in vitro fertilization. Although the level of neighborhood deprivation was closely related to race, it did not have strong associations with in vitro fertilization outcomes in our population as a whole or within strata of race.

How are socioeconomic inequalities in preterm birth explained by maternal smoking and maternal body mass index: A mediation analysis

BACKGROUND

Preterm birth affects between 7% and 8% of births in the UK and is a leading cause of infant mortality and childhood disability. Prevalence of preterm birth has been shown to have significant and consistent socioeconomic inequalities.

OBJECTIVE

To estimate how much of the association between socioeconomic status (SES) and gestational age at birth is mediated by maternal smoking status and maternal body mass index (BMI).

METHODS

Retrospective cohort study of a maternity hospital in the UK. The analysis included all singleton live births between April 2009 and March 2020 to mothers 18 years old and over, between 22 weeks and 43 weeks gestation. We estimate two measures of mediation for four low gestational age categories: (i) The proportion eliminated the percentage of the effect of SES on low gestational age at birth that would be eliminated by removing the mediators, through the Controlled Direct Effects estimated using serial log-binomial regressions; and (ii) The proportion mediated is the percentage of the effect removed by equalising the distribution of the mediators across socioeconomic groups, estimated using Interventional Disparity Measures calculated through Monte Carlo simulations.

RESULTS

Overall, 81,219 births were included, with 63.7% low SES. The risk of extremely (0.3% of all births), very (0.7%) and moderately preterm birth (6.3%) was 1.71 (95% Confidence Interval [CI] 1.29, 2.31), 1.43 (95% CI 1.18, 1.73) and 1.26 (95% CI 1.19, 1.34) times higher in the low SES, compared to higher SES respectively. The proportion of this inequality eliminated by removing both maternal smoking and BMI was 43.4% for moderately preterm births. The proportion mediated for smoking was 33.9%, 43.0% and 48.4% respectively.

CONCLUSIONS

Smoking during pregnancy is a key mediator of inequalities in preterm birth, representing an area for local action to reduce social inequalities in preterm birth.

Neighborhood inequalities and the decline of infant mortality in São Paulo

This paper documents changes in infant mortality (IM) rates in São Paulo, Brazil, between 2003 and 2013 and examines the association among neighborhood characteristics and IM. We investigate the extent to which increased use of health care services and improvements in economic and social conditions are associated with reductions in IM. Using data from the Brazilian Census and the São Paulo Secretaria Municipal da Saúde/SMS, we conducted a longitudinal analysis of panel data in all 96 districts of São Paulo for every year between 2003 and 2013. Our regression model includes district level measures that reflect economic, health care and social determinants of IM. We find that investments in health care have contributed to lower IM rates in the city, but the direct effect of increased spending is most evident for people living in São Paulo's middle- and high-income neighborhoods. Improvements in social conditions were more strongly associated with IM declines than increases in the use of health care among São Paulo's low-income neighborhoods. To reduce health inequalities, policies should target benefits to lower-income neighborhoods. Subsequent research should document the consequences of recent changes in Brazil's economic capacity and commitment to public health spending for population health.

Neighborhood disadvantage is associated with decreased ovarian reserve in women with overweight and obesity

OBJECTIVE(S)

To evaluate the association between neighborhood disadvantage and ovarian reserve stratified by body mass index (BMI).

DESIGN

Cross-sectional cohort study.

SETTING

Single academic medical center.

PATIENT(S)

A total of 193 healthy reproductive-age women with regular menstrual cycles in the St. Louis, Missouri metropolitan area.

INTERVENTION(S)

Residence in a disadvantaged neighborhood.

MAIN OUTCOME MEASURE(S)

Ovarian reserve as assessed by ovarian antral follicle count (AFC) and serum anti-Müllerian hormone (AMH) concentration.

RESULT(S)

Women (n = 193) ranged from 20 to 44 years. The majority had overweight or obesity (59%, n = 117) with mean BMI of 28±7 kg/m2. Forty-eight women lived in the most disadvantaged neighborhood quartile, of which 75% had overweight or obesity, compared with 54% of the 145 women living in the 3 less disadvantaged neighborhood quartiles. When controlling for age, race, and smoking status, women with overweight or obesity living in the most disadvantaged neighborhoods had significantly lower AMH compared with those living in the less disadvantaged neighborhoods. Antral follicle count did not differ among women with overweight or obesity by neighborhood of residence. Neighborhood disadvantage was not associated with ovarian reserve by AFC or AMH in women with normal weight or underweight status.

CONCLUSION(S)

Living in a socioeconomically deprived area is associated with lower markers of ovarian reserve among women with an elevated BMI.

Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort

BACKGROUND

Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborhood-level environmental and social exposures were driving associations with birth weight and adiposity at birth in the Healthy Start cohort.

METHODS

Exposures were assessed at the census tract level and included air pollution, built environment characteristics, and socioeconomic status. Prenatal exposures were assigned based on address at enrollment. Birth weight was measured at delivery and adiposity was measured using air displacement plethysmography within three days. We used non-parametric Bayes shrinkage (NPB) to identify exposures that were associated with our outcomes of interest. NPB models were compared to single-predictor linear regression. We also included generalized additive models (GAM) to assess nonlinear relationships. All regression models were adjusted for individual-level covariates, including maternal age, pre-pregnancy BMI, and smoking.

RESULTS

Results from NPB models showed most exposures were negatively associated with birth weight, though credible intervals were wide and generally contained zero. However, the NPB model identified an interaction between ozone and temperature on birth weight, and the GAM suggested potential non-linear relationships. For associations between ozone or temperature with birth weight, we observed effect modification by maternal race/ethnicity, where effects were stronger for mothers who identified as a race or ethnicity other than non-Hispanic White. No associations with adiposity at birth were observed.

CONCLUSIONS

NPB identified prenatal exposures to ozone and temperature as predictors of birth weight, and mothers who identify as a race or ethnicity other than non-Hispanic White might be disproportionately impacted. However, NPB models may have limited applicability when non-linear effects are present. Future work should consider a two-stage approach where NPB is used to reduce dimensionality and alternative approaches examine non-linear effects.

Neighborhood conditions and birth outcomes: Understanding the role of perceived and extrinsic measures of neighborhood quality

Living in a disadvantaged neighborhood has been associated with adverse birth outcomes. Most prior studies have conceptualized neighborhoods using census boundaries and few have examined the role of neighborhood perceptions, which may better capture the neighborhood environment. In the present study, we examined associations between extrinsic and perceived neighborhood quality measures and adverse birth outcomes.

Methods

Participants resided in the San Francisco Bay Area of California and were enrolled in Chemicals in Our Bodies, a prospective birth cohort (N = 817). The Index of Concentration at the Extremes (ICE) for income, Area Deprivation Index (ADI), and the Urban Displacement Project's measure of gentrification were included as census block group-level extrinsic neighborhood quality measures. Poor perceived neighborhood quality was assessed using an interview questionnaire. Linear regression models were utilized to examine associations between extrinsic and perceived neighborhood quality measures, and gestational age and birthweight for gestational age z-scores. Covariates in adjusted models were chosen via a directed acyclic graph (DAG) and included maternal age, education, and marital status.

Results

In adjusted models, having poor perceived neighborhood quality was associated with higher birthweight z-scores, relative to those who did not perceive their neighborhood as poor quality (β = 0.21, 95% confidence intervals = 0.01, 0.42). Relative to the least disadvantaged tertile, the upper tertile of the ADI was associated with a modest reduction in gestational age (β = -0.35, 95% confidence intervals = -0.67, -0.02).

Conclusions

In the Chemicals in Our Bodies study population, extrinsic and perceived neighborhood quality measures were inconsistently associated with adverse birth outcomes.

Maternal human capital and infants' health outcomes: Evidence from minimum dropout age policies in the US

The purpose of this cross-sectional study is to examine the causal relationship of maternal education and infants' health outcomes. Using birth certificate data over the years 1970–2004 and exploiting the space-time variation in Minimum Dropout Age laws to solve the endogeneity of education, we find a sizeable effect of mothers' education on their birth outcomes. An additional year of maternal education is associated with a reduction in incidences of low birth weight and preterm birth by 15.2 and 12.7 percent, respectively. The estimates are robust across various specifications and even when allowing mothers’ cohort-of-birth to vary across regions. The results suggest that the candidate mechanisms of impact include improvements in timing, quantity, and quality of prenatal care, lower negative health behavior during pregnancy such as smoking and drinking, and higher spousal education.

•

We provide causal evidence on the effect of mothers' education on birth outcomes.

•

We use Minimum Dropout Age policies as the instrument.

•

Mother education has significant impact on infants' birth outcomes.

•

Candidate mechanisms include improvements in timing, quantity, and quality of prenatal care.

Associations between combined exposure to environmental hazards and social stressors at the neighborhood level and individual perinatal outcomes in the ECHO-wide cohort

Limited studies examine how prenatal environmental and social exposures jointly impact perinatal health. Here we investigated relationships between a neighborhood-level combined exposure (CE) index assessed during pregnancy and perinatal outcomes, including birthweight, gestational age, and preterm birth. Across all participants, higher CE index scores were associated with small decreases in birthweight and gestational age. We also observed effect modification by race; infants born to Black pregnant people had a greater risk of preterm birth for higher CE values compared to White infants. Overall, our results suggest that neighborhood social and environmental exposures have a small but measurable joint effect on neonatal indicators of health.

Mediators of socioeconomic inequalities in preterm birth: a systematic review

BACKGROUND

Rates of preterm birth are substantial with significant inequalities. Understanding the role of risk factors on the pathway from maternal socioeconomic status (SES) to preterm birth can help inform interventions and policy. This study therefore aimed to identify mediators of the relationship between maternal SES and preterm birth, assess the strength of evidence, and evaluate the quality of methods used to assess mediation.

METHODS

Using Scopus, Medline OVID, "Medline In Process & Other Non-Indexed Citation", PsycINFO, and Social Science Citation Index (via Web of Science), search terms combined variations on mediation, socioeconomic status, and preterm birth. Citation and advanced Google searches supplemented this. Inclusion criteria guided screening and selection of observational studies Jan-2000 to July-2020. The metric extracted was the proportion of socioeconomic inequality in preterm birth explained by each mediator (e.g. 'proportion eliminated'). Included studies were narratively synthesised.

RESULTS

Of 22 studies included, over one-half used cohort design. Most studies had potential measurement bias for mediators, and only two studies fully adjusted for key confounders. Eighteen studies found significant socioeconomic inequalities in preterm birth. Studies assessed six groups of potential mediators: maternal smoking; maternal mental health; maternal physical health (including body mass index (BMI)); maternal lifestyle (including alcohol consumption); healthcare; and working and environmental conditions. There was high confidence of smoking during pregnancy (most frequently examined mediator) and maternal physical health mediating inequalities in preterm birth. Significant residual inequalities frequently remained. Difference-of-coefficients between models was the most common mediation analysis approach, only six studies assessed exposure-mediator interaction, and only two considered causal assumptions.

CONCLUSIONS

The substantial socioeconomic inequalities in preterm birth are only partly explained by six groups of mediators that have been studied, particularly maternal smoking in pregnancy. There is, however, a large residual direct effect of SES evident in most studies. Despite the mediation analysis approaches used limiting our ability to make causal inference, these findings highlight potential ways of intervening to reduce such inequalities. A focus on modifiable socioeconomic determinants, such as reducing poverty and educational inequality, is probably necessary to address inequalities in preterm birth, alongside action on mediating pathways.

Protective Places: the Relationship between Neighborhood Quality and Preterm Births to Black Women in Oakland, California (2007-2011)

Black women have the highest incidence of preterm birth (PTB). Upstream factors, including neighborhood context, may be key drivers of this increased risk. This study assessed the relationship between neighborhood quality, defined by the Healthy Places Index, and PTB among Black women who lived in Oakland, California, and gave birth between 2007 and 2011 (N = 5418 women, N = 107 census tracts). We found that, compared with those living in lower quality neighborhoods, women living in higher quality neighborhoods had 20-38% lower risk of PTB, independent of confounders. Findings have implications for place-based research and interventions to address racial inequities in PTB.

Addressing Health Disparities: The Health Department Nurse Lead Executive's Relationship to Improved Community Health

CONTEXT

The nurse-trained local health department (LHD) lead executive has been shown to be positively associated with LHD performance; however, no other research has explored whether this association translates to improved community health.

OBJECTIVE

To investigate the relationship between the type of LHD leadership-whether or not the lead executive is a nurse-and changes in health outcomes.

DESIGN

This study used a multivariate panel time series design. Each model was estimated as a pooled time series and using time and unit fixed effects, with a 1-year lag used for all covariates and the main predictor.

SETTING

A national, county-level data set was compiled containing variables pertaining to the LHD, community demographics, and health outcomes for the years 2010-2018.

PARTICIPANTS

The unit of analysis was the LHD. The data set was restricted to those counties with measurable mortality rates during at least 8 of the 9 time periods of the study, resulting in a total of 626 LHDs.

MAIN OUTCOME MEASURES

The outcomes of interest were changes in 15- to 44-year-old all-cause mortality, infant mortality, and entry into prenatal care.

RESULTS

In models with combined time and unit fixed effects, a significant relationship exists between a nurse-led LHD and reduced mortality in the 15- to 44-year-old Black population (-5.2%, P < .05) and a reduction in the Black-White mortality ratio (-6%, P < .05). In addition, there is a relationship between the nurse-led LHD and a reduction in the percentage of the population with late or no entry to prenatal care.

CONCLUSIONS

The evidence presented here helps connect the known positive association between nurse lead executives and LHD performance to improvements in community health. It suggests that nurse leaders are associated with health improvements in line with addressing health inequities.

Association of neighbourhood socioeconomic trajectories with preterm birth and small-for-gestational-age in the Netherlands: a nationwide population-based study

BACKGROUND

Adverse birth outcomes have serious health consequences, not only during infancy but throughout the entire life course. Most evidence linking neighbourhood socioeconomic status (SES) to birth outcomes is based on cross-sectional SES measures, which do not reflect neighbourhoods' dynamic nature. We investigated the association between neighbourhood SES trajectories and adverse birth outcomes, i.e. preterm birth and being small-for-gestational-age (SGA), for births occurring in the Netherlands between 2003 and 2017.

METHODS

We linked individual-level data from the Dutch perinatal registry to the Netherlands Institute for Social Research neighbourhood SES scores. Based on changes in their SES across four-year periods, neighbourhoods were categorised into seven trajectories. To investigate the association between neighbourhood SES trajectories and birth outcomes we used adjusted multilevel logistic regression models.

FINDINGS

Data on 2 334 036 singleton births were available for analysis. Women living in stable low-SES neighbourhoods had higher odds of preterm birth (OR[95%CI]= 1·12[1·07-1·17]) and SGA (OR[95%CI]= 1·19[1·15-1·23]), compared to those in high SES areas. Higher odds of preterm birth (OR[95%CI]= 1·12[1·05-1·20]) and SGA (OR[95%CI]=1·12[1·06-1·18]) were also observed for those living in areas declining to low SES. Women living in a neighbourhood where SES improved from low to medium showed higher odds of preterm birth (OR[95%CI]= 1·09[1·02-1·18]), but not of SGA (OR[95%CI]= 1·04[0.98-1·10]). The odds of preterm or SGA birth in other areas were comparable to those seen in high SES areas.

INTERPRETATION

In the Netherlands, disadvantaged neighbourhood SES trajectories were associated with higher odds of adverse birth outcomes. Longitudinal neighbourhood SES measures should also be taken into account when selecting a target population for public health interventions.

FUNDING

Erasmus Initiative Smarter Choices for Better Health.

The geography of ethnoracial low birth weight inequalities in the United States

In this article, we describe, decompose, and examine correlates of the geography of ethnoracial inequalities in low birth weight (LBW) in the United States. Drawing on the population of singleton births to U.S.-born White, Black, Latinx, and Native American parents in the first decade of the twenty-first century (N = 28.2 million births), we calculate county-level LBW rates and rate ratios. Results demonstrate a stark racial hierarchy in which Black infants experience the most significant disadvantage, but we also document substantial local-level variation organized in what we call a regionalized patchwork of inequality, with high-disparity counties bordering low-disparity counties coupled with regional clustering. Examining the component parts of local disparities - the LBW rates for Whites and groups of color - we find strong evidence that spatial variation in ethnoracial LBW inequalities is driven by greater variation in infants of color's health across counties relative to Whites. Further, LBW rates for groups of color are only weakly to moderately correlated with Whites' LBW rates, indicating that the same contexts can produce racially divergent health outcomes. Examining contextual factors that predict LBW disparities, we find that more segregated, socioeconomically unequal, and urban counties have larger LBW disparities. We conclude by positing an approach to health disparities that conceptualizes ethnoracial differences in health as fundamentally relational and spatial phenomena produced by systems of White advantage.

The Health of Hispanic Children from Birth to Emerging Adulthood

This article summarizes frameworks for understanding Hispanic children's health, sources of national data available to evaluate their health, and variations in health among Hispanic children. Following ecological and life-course perspectives, we organize our review of the literature on Hispanic children's health and development according to three key stages of child development (zero to three, early to middle childhood, and adolescence to emerging adulthood) with attention to how each stage influences the next. Within each stage, we consider how social position (i.e. skin color, social class, gender, and nativity), social contexts (i.e. family, school, and neighborhood), and political and legal contexts influence Hispanic children's health and development. To improve the health and development of Hispanic children, federal, state, and local policies must address social and economic injustices that lead to declines in health across immigrant generations and persistent racial/ethnic health disparities.

Characteristics associated with downward residential mobility among birthing persons in California

BACKGROUND

Substantial research documents health consequences of neighborhood disadvantage. Patterns of residential mobility that differ by race/ethnicity and socioeconomic status (SES) may sort non-Hispanic (NH) Black and low-SES families into disadvantaged neighborhoods. In this study, we leverage a sibling-linked dataset to track residential mobility among birthing persons between pregnancies and investigate baseline characteristics associated with downward mobility, including race/ethnicity, SES, and pre-existing health conditions.

METHODS

We used a probabilistic linkage strategy to identify births to the same person between 2007 and 2015 (n = 624,222) and categorized downward residential mobility by quartile-level increases in neighborhood disadvantage. We defined strong downward mobility as a move from a neighborhood with very low (quartile 1) to very high (quartile 4) disadvantage and estimated the logit (i.e., log-odds) of strong downward mobility as a function of racial/ethnic, sociodemographic, and health characteristics of the birthing person and their first birth. We further explored the role of neighborhood housing affordability by examining changes in affordability from first to second birth by race/ethnicity.

RESULTS

NH Black birthing persons show an over three-fold increased odds of strong downward mobility relative to NH white birthing persons (OR = 3.34, CI: 2.91, 3.84). To a lesser extent, Hispanic race/ethnicity, WIC receipt, low educational attainment, obesity, and infant preterm birth (PTB) also predict strong downward mobility. Examination of changes in neighborhood affordability indicate that over half of NH Black birthing persons move to a more affordable neighborhood, compared to less than a quarter of NH white birthing persons, before the birth of their second child. Results remain consistent across outcomes, measures of neighborhood SES, and modified log-Poisson models.

CONCLUSION

We find an elevated risk of strong downward mobility among NH Black and low-SES birthing persons. Future research may identify other factors (e.g., housing affordability) that generate downward residential mobility to identify interventions that promote neighborhood equity.

Infant mortality among native-born children of immigrants in France, 2008-17: results from a socio-demographic panel survey

BACKGROUND

Within Europe, France stands out as a major country that lacks recent and reliable evidence on how infant mortality levels vary among the native-born children of immigrants compared with the native-born children of two parents born in France.

METHODS

We used a nationally representative socio-demographic panel consisting of 296 400 births and 980 infant deaths for the period 2008-17. Children of immigrants were defined as being born to at least one parent born abroad and their infant mortality was compared with that of children born to two parents born in France. We first calculated infant mortality rates per 1000 live births. Then, using multi-level logit models, we calculated odds ratios of infant mortality in a series of models adjusting progressively for parental origins (M1), core demographic factors (M2), father's socio-professional category (M3) and area-level urbanicity and deprivation score (M4).

RESULTS

We documented a substantial amount of excess infant mortality among those children born to at least one parent from Eastern Europe, Northern Africa, Western Africa, Other Sub-Saharan Africa and the Americas, with variation among specific origin countries belonging to these groups. In most of these cases, the excess infant mortality levels persisted after adjusting for all individual-level and area-level factors.

CONCLUSIONS

Our findings, which can directly inform national public health policy, reaffirm the persistence of longstanding inequality in infant mortality according to parental origins in France and add to a growing body of evidence documenting excess infant mortality among the children of immigrants in Europe.

Maternal Socioeconomic Factors and Racial/Ethnic Differences in Neonatal Anthropometry

Disparities in birthweight by maternal race/ethnicity are commonly observed. It is unclear to what extent these disparities are correlates of individual socioeconomic factors. In a prospective cohort of 1645 low-risk singleton pregnancies included in the NICHD Fetal Growth Study (2009-2013), neonatal anthropometry was measured by trained personnel using a standard protocol. Socioeconomic characteristics included employment status, marital status, health insurance, annual income, and education. Separate adjusted generalized linear models were fit to both test the effect of race/ethnicity and the interaction of race/ethnicity and socioeconomic characteristics on neonatal anthropometry. Mean infant birthweight, length, head circumference, and abdominal circumference all differed by race/ethnicity (p < 0.001). We observed no statistically significant interactions between race/ethnicity and full-time employment/student status, marital status, insurance, or education in association with birthweight, neonatal exam weight, length, or head or abdominal circumference at examination. The interaction between income and race/ethnicity was significant only for abdominal circumference (p = 0.027), with no other significant interactions for other growth parameters, suggesting that racial/ethnic differences in neonatal anthropometry did not vary by individual socioeconomic factors in low-risk women. Our results do not preclude structural factors, such as lifetime exposure to poverty, as an explanation for racial/ethnic disparities.

State- and county-level income inequality and infant mortality in the USA in 2010: a cohort study

OBJECTIVES

We examined the relationship between income inequality and the risk for infant/neonatal mortality at the state and county level and tested possible mediators of this relationship.

METHODS

We first linked state and county Gini coefficients to US Vital Statistics 2010 Cohort Linked Birth and Infant Death records (n = 3,954,325). We then fit multilevel models to test whether income inequality was associated with infant/neonatal mortality. County-level factors were tested as potential mediators.

RESULTS

Adjusted analyses indicated that income inequality at the county level-but not at the state level-was associated with increased odds of infant mortality (OR 1.14, 95% CI 1.10, 1.18) and neonatal death (OR 1.17, 95% CI 1.12, 1.23). Our mediators explained most of this variation. Bivariate analyses revealed associations between 3 county-level measures-patient-to-physician ratio, the violent crime rate, and sexually transmitted infection rate-and infant and neonatal mortality. Proportion of college-educated adults was associated with decreased odds for neonatal mortality.

CONCLUSIONS

Local variations in access to care, the rate of sexually transmitted disease, and crime are associated with infant mortality, while variations in college education in addition to these mediators explain neonatal mortality. To reduce infant and neonatal mortality, experiments are needed to examine the effectiveness of policies targeted at reducing income inequality and improving healthcare access, policing, and educational opportunities.

Infant Mortality in Moscow: the Perils of Progress in Russia's World City

This paper examines changes in infant mortality (IM) in Moscow, Russia's largest and most affluent city. Along with some remarkable improvements in Moscow's health system over the period between 2000 and 2014, the overall IM rate for Moscow's residents decreased substantially between 2000 and 2014. There remains, however, substantial intra-city variation across Moscow's 125 neighborhoods. Our regression models suggest that in higher-income neighborhoods measured by percent of population with rental income as a primary source, the IM rate is significantly lower than in lower-income neighborhoods measured by percent of population with transfer income as primary source (housing and utility subsidies and payments to working and low-income mothers, single mothers and foster parents). We also find that the density of physicians in a neighborhood is negatively correlated with the IM rate, but the effect is small. The density of nurses and hospital beds has no effect. We conclude that overall progress on health outcomes and measures of access does not, in itself, solve the challenge of intra-urban inequalities.

Combined environmental and social exposures during pregnancy and associations with neonatal size and body composition: the Healthy Start study

BACKGROUND

Prenatal environmental and social exposures have been associated with decreased birth weight. However, the effects of combined exposures in these domains are not fully understood. Here we assessed multi-domain exposures for participants in the Healthy Start study (Denver, CO) and tested associations with neonatal size and body composition.

METHODS

In separate linear regression models, we tested associations between neonatal outcomes and three indices for exposures. Two indices were developed to describe exposures to environmental hazards (ENV) and social determinants of health (SOC). A third index combined exposures in both domains (CE = ENV/10 × SOC/10). Index scores were assigned to mothers based on address at enrollment. Birth weight and length were measured at delivery, and weight-for-length z-scores were calculated using a reference distribution. Percent fat mass was obtained by air displacement plethysmography.

RESULTS

Complete data were available for 897 (64%) participants. Median (range) ENV, SOC, and CE values were 31.9 (7.1-63.2), 36.0 (2.8-75.0), and 10.9 (0.4-45.7), respectively. After adjusting for potential confounders, 10-point increases in SOC and CE were associated with 27.7 g (95%CI: 12.4 - 42.9 g) and 56.3 g (19.4 - 93.2 g) decreases in birth weight, respectively. SOC and CE were also associated with decreases in % fat mass.

CONCLUSIONS

Combined exposures during pregnancy were associated with lower birth weight and % fat mass. Evidence of a potential synergistic effect between ENV and SOC suggests a need to more fully consider neighborhood exposures when assessing neonatal outcomes.

Addressing Racial Inequities in Breastfeeding in the Southern United States

BACKGROUND

Race is a predictor of breastfeeding rates in the United States, and rates are lowest among African American infants. Few studies have assessed changes in breastfeeding rates by race after implementing the Ten Steps to Successful Breastfeeding (hereafter referred to as the Ten Steps), and none have assessed the association between implementation and changes in racial disparities in breastfeeding rates. Our goal was to determine if a hospital- and community-based initiative in the Southern United States could increase compliance with the Ten Steps, lead to Baby-Friendly designation, and decrease racial disparities in breastfeeding.

METHODS

Hospitals in Mississippi, Louisiana, Tennessee, and Texas were enrolled into the Communities and Hospitals Advancing Maternity Practices initiative from 2014 to 2017 and received an intensive quality improvement and technical assistance intervention to improve compliance with the Ten Steps. Community partners and statewide organizations provided parallel support. Hospitals submitted monthly aggregate data stratified by race on breastfeeding, skin-to-skin care, and rooming in practices.

RESULTS

The disparity in breastfeeding initiation between African American and white infants decreased by 9.6 percentage points (95% confidence interval 1.6-19.5) over the course of 31 months. Breastfeeding initiation increased from 66% to 75% for all races combined, and exclusivity increased from 34% to 39%. Initiation and exclusive breastfeeding among African American infants increased from 46% to 63% (P < .05) and from 19% to 31% (P < .05), respectively. Skin-to-skin care after cesarean delivery was significantly associated with increased breastfeeding initiation and exclusivity in all races; rooming in was significantly associated with increased exclusive breastfeeding in African American infants only.

CONCLUSIONS

Increased compliance with the Ten Steps was associated with a decrease in racial disparities in breastfeeding.

Poverty, urban-rural classification and term infant mortality: a population-based multilevel analysis

Background

U.S. mortality rate of term infants is higher than most other developed countries. Term infant mortality is associated with exogenous socio-environmental factors. Previous research links low socioeconomic status and rurality with high infant mortality, but does not examine the effect of individual level factors on this association. Separating out the effect of contextual factors from individual level factors has important implications for targeting interventions. Therefore, we aim to estimate the independent effect of poverty and urban-rural classification on term infant mortality.

Methods

We used linked 2013 period cohort birth-infant death files from the National Center for Health Statistics (NCHS). Counties were assigned to low, medium and high poverty groups using US Census Bureau county-level percent of children ≤18 years living in poverty, and were classified based on NCHS urban-rural classification. Bivariate and multilevel logistic regression models were used to estimate odds of term infant death, accounting for individual and county level variables.

Results

There were 2,551,828 term births in 2013, with an overall term mortality of 2.1 per 1000 births. Odds of term infant mortality increased from 1.4 (95% CI: 1.2, 1.6) to 1.8 (95% CI: 1.6, 2.0) comparing births over increasing county poverty to those in the lowest. The associations remained significant in the multivariable model, for highest poverty 1.3 (95% CI: 1.1, 1.5). Similarly, the odds of term infant mortality increased with increasing rurality, from 1.3 (95% CI: 1.2, 1.5) in medium metro counties to 1.7 (95% CI: 1.5, 2.0) in non-core counties compared to large fringe metro counties. However, only rural non-core counties remained statistically associated with increased risk of term infant mortality after adjusting for individual level maternal characteristics.

Conclusions

High poverty and very rural counties remained associated with term infant mortality independent of individual maternal sociodemographic, health and obstetric factors. Interventions should focus on contextual factors such as economic environment and availability of health and social services in addition to individual factors to reduce term infant mortality.

Neighborhood affluence protects against antenatal smoking: evidence from a spatial multiple membership model

A spatial multiple membership model formalizes the effect of neighborhood affluence on antenatal smoking. The data are geocoded New Jersey birth certificate records linked to United States census tract-level data from 1999 to 2007. Neighborhood affluence shows significant spatial autocorrelation and local clustering. Better model fit is observed when incorporating the spatial clustering of neighborhood affluence into multivariate analyses. Relative to the spatial multiple membership model, the multilevel model that ignores spatial clustering produced downwardly biased standard errors; the effective sample size of the key parameter of interest (neighborhood affluence) is also lower. Residents of communities located in high-high affluence clusters likely have better access to health-promoting institutions that regulate antenatal smoking behaviors.

Ethnic enclaves and birth outcomes of immigrants from India in a diverse U.S. state

Sociological theory suggests that ethnic enclaves promote immigrant health. Existing studies of ethnic enclaves and immigrant birth outcomes have generally focused on blacks and Hispanics, while few have focused on immigrants from India - the second largest immigrant group in the U.S., after Mexicans. Paradoxically, this group generally exhibits worse birth outcomes than non-Hispanic whites, despite their high levels of education. This study investigates associations between residence in South Central Asian ethnic enclaves and both birth outcomes and prenatal behaviors of immigrant mothers from India, using population-level birth record data from the state of New Jersey in the U.S. (1999-2012; n = 64,375). Results indicate that residence in a South Central Asian enclave is associated with less prenatal smoking and earlier prenatal care, but not with birthweight- or gestational-age related outcomes, among immigrant mothers from India. These findings are consistent with theory suggesting that social support, social capital, and social norms transmitted through the social networks present in ethnic enclaves foster health-promoting behaviors. Notably, the prenatal behaviors of non-Hispanic white mothers were not associated to a large degree with living in South Central Asian enclaves, which is also consistent with theory and bolsters our confidence that the observed associations for immigrant mothers from India are not spurious.

Neighborhood Disadvantage and Neighborhood Affluence: Associations with Breastfeeding Practices in Urban Areas

Objective To estimate the associations between neighborhood disadvantage and neighborhood affluence with breastfeeding practices at the time of hospital discharge, by race-ethnicity. Methods We geocoded and linked birth certificate data for 111,596 live births in New Jersey in 2006 to census tracts. We constructed indices of neighborhood disadvantage and neighborhood affluence and examined their associations with exclusive (EBF) and any breastfeeding in multilevel models, controlling for individual-level confounders. Results The associations of neighborhood disadvantage and affluence with breastfeeding practices differed by race-ethnicity. The odds of EBF decreased as neighborhood disadvantage increased for all but White women [Asian: Adjusted odds ratio (AOR) 0.82 (95% confidence interval (CI) 0.69-0.97); Black: AOR 0.77 (95% CI 0.70-0.86); Hispanic: AOR 0.78 (95% CI 0.70-0.86); White: AOR 0.99 (95% CI 0.91-1.08)]. The odds of EBF increased as neighborhood affluence increased for Hispanic [AOR 1.19 (95% CI 1.08-1.31)] and White [AOR 1.12 (95% CI 1.06-1.18)] women only. The odds of any breastfeeding decreased with increasing neighborhood disadvantage only for Hispanic women [AOR 0.85 (95% CI 0.79-0.92)], and increased for White women [AOR 1.16 (95% CI 1.07-1.26)]. The odds of any breastfeeding increased as neighborhood affluence increased for all except Hispanic women [Asian: AOR 1.31 (95% CI 1.13-1.51); Black: AOR 1.19 (95% CI 1.07-1.32); Hispanic: AOR 1.08 (95% CI 0.99-1.18); White: AOR 1.30 (95% CI 1.24-1.38)]. Conclusions Race-ethnic differences in associations between neighborhood disadvantage and affluence and breastfeeding practices at the time of hospital discharge indicate the need for specialized support to improve access to services.