Maternal educational attainment and infant mortality in the United States: Does the gradient vary by race/ethnicity and nativity?

When a baby is born, so is a parent: Understanding the effects of preterm birth on Black parents through the lens of the NIMHD framework

BACKGROUND

The rate of preterm birth (PTB) is high in the United States and Black infants remain disproportionately affected, with the disparity between Black and White infant deaths greater today than it was under antebellum slavery.

PURPOSE

The National Institute on Minority Health and Disparities Research Framework reflects a unique set of determinants relevant to the understanding and promotion of minority health.

METHODS

We have applied this framework to better understand the effects of PTB on Black parents and the distribution of the social determinants of health, including structural determinants and root causes of inequities.

DISCUSSION

This adaptation shows the intersection in maternal and infant health that shapes individuals' experiences, drives disparities and impacts perinatal outcomes in critical periods over the lifecourse.

CONCLUSION

In our efforts to achieve health equity, it is imperative that we study the underlying mechanisms and recognize that policies, institutional structures, and social factors are drivers of racism.

Disparities in birth outcomes within the U.S. White population: Prevalence of low birth weight among immigrant mothers from the Middle East and North Africa

Immigration from the Middle East and North Africa (MENA) has diversified the U.S. non-Hispanic White population. Analyzing health disparities within this group is a complex task due to data limitations across most federal and state data collection systems. This study investigates disparities in the risk of giving birth to a low-birth-weight infant among foreign-born non-Hispanic White MENA and non-MENA mothers and by MENA mothers' nationality. This population-based study uses Restricted-Use Detail Natality Data from 2016 to 2019 accessed through the National Center for Health Statistics and provided by the Centers for Disease Control and Prevention. The study examines the risk of giving birth to a low-birth-weight infant (<2500g) among foreign-born non-Hispanic White mothers by MENA/non-MENA status as the primary independent variable of interest. Logistic regression models are used to control for social and demographic characteristics, medical risk factors, and measures of prenatal care adequacy. Results are presented as odds ratios. Among foreign-born non-Hispanic White mothers, 139,708 (32%) are classified as MENA and 296,093 (68%) as non-MENA. Results show that after controlling for social and demographic characteristics, medical factors, and measures of prenatal care adequacy, foreign-born non-Hispanic White MENA mothers have greater odds of giving birth to a low-birth-weight infant than their non-MENA counterparts (OR: 1.443, p-value <0.001). Increased immigration from the MENA region has contributed to changes in health profiles among foreign-born non-Hispanic White mothers. As this group grows, understanding the impact of immigration on the composition of the non-Hispanic White population, and consequently, racial disparities in the U.S., is crucial for researchers and policymakers.

Born on the wrong side of the tracks: Exploring the causal effects of segregation on infant health

Prior research has found that a high level of residential racial segregation, or the degree to which racial/ethnic groups are isolated from one another, is associated with worsened infant health outcomes, particularly among non-Hispanic (NH) Black infant populations. However, because exposure to segregation is non-random, it is unclear whether and to what extent segregation is causally linked to infant health. To overcome this empirical limitation, we leverage exogenous variation in the placement of railroad tracks in the 19th century to predict contemporary segregation, an approach first introduced by Ananat (2011). In alignment with prior literature, we find that residential segregation has statistically significant associations with negative birth outcomes among Black infant populations in the area. Using OLS methods underestimates the negative impacts of segregation on infant health. We fail to detect comparable effects on health outcomes among NH White infant populations. Further, we identify several key mechanisms by which residential segregation could influence health outcomes among Black infant populations, including lower access to prenatal care during the first trimester, higher levels of anti-Black prejudice, greater transportation barriers, and increased food insecurity. Given that poor birth outcomes have adverse effects on adults' health and well-being, the findings suggest that in-utero exposure to residential segregation could have important implications for Black-White inequality over the life course.

The Effects of Race, Ethnicity, and Maternal Education on Infant Mortality

BACKGROUND

The state of New Jersey has a large Black/African American (AA) versus White racial disparity in infant mortality and educational level at childbirth. This disparity, measured by rate ratio, increases with greater maternal education among varied racial-ethnic groups. The nature of this disparity measured by rate differences has not been explored.

OBJECTIVES

Infant birth and mortality data were used to examine whether racial or ethnic disparities in infant mortality increased with greater maternal education, comparing rate differences and rate ratios. Racial and ethnic variations in the association between maternal education and infant mortality were examined.

METHODS

Data were from the New Jersey State Health Assessment Data for all New Jersey births between 2014 and 2018 stratified by race and ethnicity, maternal education, and infant mortality ( n = 481,333). R software was used to create a data set and estimate additive and multiplicative interactions, rate differences, and rate ratios for infant mortality by maternal race/ethnicity and educational levels among four racial-ethnic groups.

RESULTS

Infant mortality was significantly greater for Black/AA and Hispanic mothers than for White mothers. At all educational levels, Black/AA mothers had the highest prevalence of infant mortality compared to other racial or ethnic groups. Rate differences in infant mortality showed a decrease in Black/AA-White differences for mothers with a high school education or less compared to mothers with a college degree. However, rate ratios showed an increase in Black/AA-White ratio with increasing education levels for mothers with high school education or less than mothers with a college degree. Risk ratios comparing infant mortality for Black/AA versus Hispanic or Asian mothers showed more than a twofold greater risk at all education levels for Black/AA infants. Finally, college-educated Black/AA mothers had significantly higher rates of infant mortality than White or Hispanic mothers with a high school education or less.

DISCUSSION/IMPLICATIONS

Black/AA mothers with a college degree had a higher infant mortality rate than White, Hispanic, or Asian mothers with a high school education or less. Future research should address contextual/systemic contributors to this disparity.

Women's education and attitudes toward malaria in children: Evidence from Nigeria

This study examined the effect of women's educational level on their perceptions regarding the deadliness of malaria in children. The regression results revealed that women with primary education did not differ statistically from the reference category (i.e. women with no education) in terms of their likelihood of perceiving malaria as a deadly disease in children. In contrast, women with secondary education were 4.3 percentage points more likely to perceive malaria as a deadly disease compared to the reference category. Similarly, women with higher education were 8 percentage points more likely to perceive malaria as a deadly disease compared to the reference category. These results highlight the crucial role of women's education in shaping their perceptions of disease in children, which also has implications for child health outcomes.

Perinatal mortality in Ireland: inequalities by socio-economic group and country of birth

BACKGROUND

While perinatal mortality rates have decreased in Ireland in recent years, it is not known if this reduction was shared equally among all groups. The aim of this study is to examine inequalities in perinatal mortality by country of birth and socio-economic group in Ireland between 2004 and 2019.

METHODS

Data for the analysis was obtained from the National Perinatal Reporting System dataset, which includes all births (including stillbirths) in Ireland. The rate and risk ratios for perinatal death were calculated for mothers' socio-economic group and country of birth for two time periods (2004-11 and 2012-19). Adjustment was made for mothers' age, marital status, parity and country of birth/socio-economic group. A total of 995 154 births and 5710 perinatal deaths were included in the analysis.

RESULTS

With the exception of African born mothers, the perinatal mortality rate decreased for all groups over time; however, inequalities persisted. Relative to Irish born mothers, the risk for African born mothers increased from 1.63 to 2.00 over time. Adjusting for other variables including socio-economic status reduced but did not eliminate this elevated relative risk. Mothers who were classified as unemployed or engaged in home duties had a higher risk of a perinatal death relative to higher professional mothers, with the relative risk remaining relatively constant over time.

CONCLUSIONS

Reducing inequalities in health is a key objective of the Irish government. Further research is required to identify why perinatal mortality continues to be higher in some groups so that targeted action can be implemented.

Population mental health matters child health disparity: a national level analysis

BACKGROUND

The association between social distress and child health is important and attracts research interest. This study aims to examine the trend of inequality in the mortality rate for children under five (U5MR) over time and decompose the population mental health (PMH)-gradient in U5MR into different drivers at the national level.

METHODS

Data from 1990 to 2019 on the U5MR, PMH, and potential risk factors, such as socioeconomic status, environmental exposures at the national level, health behavior, basic water and sanitation services, urbanization, healthcare level, and HIV prevalence, were collected from online databases. We described the trend of U5MR and broke down U5MR based on the countries' risk factor status and PMH. We constructed regression models and decomposed the drivers of change in U5MR disparity based on PMH-gradient.

RESULTS

The difference in U5MR between countries with different levels of air pollution and income status was narrowed since 1990 for the high PMH groups. Countries with a higher level of PMH had less significant differences in U5MR between low- and middle-income groups than those with a lower level of PMH. The development of PMH-related gradient in child health is not consistent thoroughly. Before 2000, boys experienced a sharper decline in PMH-related gradient in health than girls did. The decomposition shows that the changes in PMH-gradient in child health were mainly caused by changes in the return to risk factors. The mental health of female population matters more in child health outcomes.

CONCLUSION

Although the U5MR converges across countries, the reason varies. The PMH gradient in child mortality is mainly explained by the change in the return to risk factors. The PMH-gradient health disparity in boys is larger than that in girls in 2019, which indicates that boys' health may be more vulnerable to the development of PMH recently. The findings remind us that we need to pay attention to the hidden reasons for the growth of disparity. It also suggests that improving PMH has a great impact on reducing PMH-related health disparity, especially for boys. Our research contributes to the understanding of the transition of PMH-related health disparity in U5MR and provides policy implications for reducing gender disparity in child health.

Disparities in infant mortality by maternal race and Hispanic origin, 2017-2018

Disparities in infant mortality by race and Hispanic origin groups continue to persist in the United States. Maternal and infant characteristics known to be associated with infant mortality vary by race and ethnicity. This report describes racial and ethnic disparities in infant mortality in the United States using the 2017-2018 cohort linked birth/infant death files from the National Vital Statistics System. Distributions of births and infant mortality rates are described by selected maternal and infant characteristics. Adjusted rates and rate ratios from logistic regression models, compared to unadjusted rates and ratios, show the extent to which race and Hispanic origin disparities would be attenuated if all groups had the same distributions of select maternal and infant factors. Results support the premise that the different distributions of several variables across racial/ethnic groups, most notably gestational age, account for a significant portion of the disparities in infant mortality between racial/ethnic groups.

The Unequal Impact of the COVID-19 Pandemic on Infant Health

The COVID-19 pandemic has taken a large toll on population health and well-being. We examine the consequences of prenatal exposure for infant health, through which the pandemic may have lasting intergenerational effects. We examine multiple pathways by which the pandemic shaped birth outcomes and socioeconomic disparities in these consequences. Analysis of more than 3.5 million birth records in California with universal information on COVID infection among persons giving birth at the time of delivery reveals deep inequalities in infection by education, race/ethnicity, and place-based socioeconomic disadvantage. COVID infection during pregnancy, in turn, predicts a large increase in the probability of preterm birth, by approximately one third. At the population level, a surprising reduction in preterm births during the first months of the pandemic was followed by an increase in preterm births during the surge in COVID infections in the winter of 2021. Whereas the early-pandemic reduction in preterm births benefited primarily highly educated mothers, the increase in preterm births during the winter infection surge was entirely concentrated among mothers with low levels of schooling. The COVID-19 pandemic is expected to exacerbate U.S. inequality in multiple ways. Our findings highlight a particularly enduring pathway: the long-term legacy of prenatal exposure to an unequal pandemic environment.

Geographic heterogeneity in Black-white infant mortality disparities

Despite recent decreases in Black infant mortality, racial disparities persist, motivating continued research into factors related to these inequalities. While the inverse association between education and infant mortality has been documented across races, less is known about its geographic heterogeneity. Using vital statistics from the National Center for Health Statistics, this study considers Black-white disparities in infant mortality for births occurring between 2011 and 2015 across regions and metropolitan status of maternal residence. With logistic regressions, we investigate heterogeneity in maternal educational gradients of infant mortality by geographic residence both within and between races. Beyond confirming the well-known relationship between education and infant mortality, our findings document a slight metropolitan advantage for infants born to white mothers as well as lower returns to education for infants born to Black mothers residing in nonmetropolitan counties. We observe a metropolitan advantage for infants born to Black mothers with at least a bachelor's degree, but a metropolitan disadvantage for infants born to Black mothers with less than a high school degree. The South is driving this divergence, pointing to particular mechanisms limiting returns to education for Southern Black mothers in nonmetropolitan areas. This paper's geographic perspective emphasizes that racial infant health disparities are not uniform across the country and cannot be fully understood through individual and household characteristics.

A Critical Review on the Complex Interplay between Social Determinants of Health and Maternal and Infant Mortality

Background: U.S. maternal and infant mortality rates constitute an important public health problem, because these rates surpass those in developed countries and are characterized by stark disparities for racial/ethnic minorities, rural residents, and individuals with less privileged socioeconomic status due to social determinants of health (SDoH). Methods: A critical review of the maternal and infant mortality literature was performed to determine multilevel SDoH factors leading to mortality disparities with a life course lens. Results: Black mothers and infants fared the worst in terms of mortality rates, likely due to the accumulation of SDoH experienced as a result of structural racism across the life course. Upstream SDoH are important contributors to disparities in maternal and infant mortality. More research is needed on the effectiveness of continuous quality improvement initiatives for the maternal–infant dyad, and expanding programs such as paid maternity leave, quality, stable and affordable housing, and social safety-nets (Medicaid, CHIP, WIC), in reducing maternal and infant mortality. Finally, it is important to address research gaps in individual, interpersonal, community, and societal factors, because they affect maternal and infant mortality and related disparities. Conclusion: Key SDoH at multiple levels affect maternal and infant health. These SDoH shape and perpetuate disparities across the lifespan and are implicated in maternal and infant mortality disparities.

Disparities in infant mortality from all-infectious, vaccine-preventable, and non-vaccine preventable diseases in relation to parental education

BACKGROUND

The burden of infectious diseases in infants is substantial. Parental education has been considered as a critical factor for predicting infant mortality. However, even though some studies have been done about relationship between infectious disease and parent's education level, no researches have been conducted specifically about vaccine-preventable and non-vaccine-preventable disease mortality by parent's educational level.

PURPOSE

This study aimed to compare infant mortality rates from all-infectious diseases, vaccine-preventable and non-vaccine-preventable diseases by mother's and father's education levels.

METHODS

We used 2017 US Linked Birth and Infant Death Data from National Center for Health Statistics, which included 3,153,574 live births and 13,870 deaths. To identify the association between each mother's and father's education level and all-infectious disease, vaccine-preventable disease, and non-vaccine-preventable disease infant mortality, logistic regression analyses were conducted by using educational level 1 as the reference. All-infectious diseases, vaccine-preventable and non-vaccine-preventable diseases were identified by vaccination recommendation of 2017 CDC guideline. Education levels were classified into four groups: level 1, through 12th grade with no diploma; Level 2, high school graduate or GED completed; Level 3, some college credit but no degree or associate degree; and Level 4, bachelor's degree, master's degree, doctorate or professional degree.

RESULTS

Higher parents' education level was appreciably associated with lower infant mortality from all-cause, all-infectious diseases, vaccine-preventable diseases, and non-vaccine-preventable diseases. Moreover, each mother's and father's education level was correlated to infant mortality due to vaccine-preventable diseases on the whole education level, while all-infectious disease and non-vaccine-preventable disease mortality is related with parent's education level only if their education level is fairly high. In other words, the adjusted odds for vaccine-preventable disease mortality were significantly lower than that for all-infectious and non-vaccine-preventable disease mortality at education level 2 and 3 and still smaller at education level 4.

CONCLUSION

These finding implies that each mother's and father's higher education level was associated with lower infant mortality rate from all-infectious diseases, vaccine-preventable diseases, and non-vaccine-preventable diseases. Furthermore, each level of mother's and father's education was more likely to be related to infant mortality by vaccine-preventable diseases than that of infant mortality by all-infectious diseases, and non-vaccine-preventable diseases.

Incorporating Measures of Structural Racism into Population Studies of Reproductive Health in the United States: A Narrative Review

Purpose: Black women in the United States face poor outcomes across reproductive health measures-from pregnancy outcomes to gynecologic cancers. Racial health inequities are attributable to systemic racism, but few population studies of reproductive health outcomes integrate upstream measures of systemic racism, and those who do are limited to maternal and infant health outcomes. Advances in understanding and intervening on the pathway from racism to reproductive health outcomes are limited by a paucity of methodological guidance toward this end. We aim to fill this gap by identifying quantitative measures of systemic racism that are salient across reproductive health outcomes. Methods: We conducted a review of literature from 2000 to 2019 to identify studies that use quantitative measures of exposure to systemic racism in population reproductive health studies. We analyzed the catalog of literature to identify cohesive domains and measures that integrate data across domains. For each domain, we contextualize its use within population health research, describe metrics currently in use, and present opportunities for their application to reproductive health research. Results: We identified four domains of systemic racism that may affect reproductive health outcomes: (1) civil rights laws and legal racial discrimination, (2) residential segregation and housing discrimination, (3) police violence, and (4) mass incarceration. Multiple quantitative measures are available for each domain. In addition, a multidimensional measure exists and additional domains of systemic racism are salient for future development into distinct measures. Conclusion: There are quantitative measures of systemic racism available for incorporation into population studies of reproductive health that investigate hypotheses, including and beyond those related to maternal and infant health. There are also promising areas for future measure development, such as the child welfare system and intersectionality. Incorporating such measures is critical for appropriate assessment of and intervention in racial inequities in reproductive health outcomes.

Early origins of socioeconomic inequalities in chronic inflammation: Evaluating the contributions of low birth weight and short breastfeeding

The United States is characterized by persistent and widening social inequities in a wide range of adult health outcomes. A life course approach challenges us to consider if, and how, these inequities trace back to early life conditions, and chronic inflammation represents a potentially important mechanism through which early environments may have lasting effects on health in adulthood. Low birth weight (LBW) and shorter durations of breastfeeding both predict increased inflammation in adulthood, which is associated with increased risk for cardiovascular disease, metabolic syndrome, and all-cause mortality. Using data from a large representative sample of young adults in the US (National Longitudinal Study of Adolescent to Adult Health (Add Health)), we document the socioeconomic status (SES) gradient in chronic inflammation, as indicated by concentrations of C-reactive protein (CRP). Using a nested set of structural equation models and marginal standardization techniques, we investigate the extent to which this gradient is explained by patterns of LBW and breastfeeding in infancy. Findings reveal a particularly important role for breastfeeding duration: Based on model predictive margins, increasing breastfeeding duration to three or more months corresponds to a flattening of the SES gradient by 80%, and 83% when LBW is eliminated. This study expands current understandings of the consequential role of developmental environments for population health and for addressing health inequities in future generations.

Maternal education and infant health gradient: New answers to old questions

By using data from the National Vital Statistics System, this study provides an in-depth investigation of the well-documented mother's education- infant health gradient. The study allows for differential relationship between mother's education and infant health outcomes across localities based on income status by using birthweight and low birthweight as health measures. The results show that mother's education- infant birthweight relationship is more concentrated at relatively poor geographic areas. This can partially be explained by increases in utilization of health services among educated mothers residing in poorer areas compared to mothers with lower levels of education. Although the magnitude of education-health gradient has decreased in recent years, the gradient is still more pronounced in poorer localities. Access to health care during pregnancy, measured by adequacy of care, has improved particularly among less educated mothers living in poorer areas. However, smoking participation during pregnancy has declined substantially among less educated mothers across all geographic localities in recent years. Additionally, mother's education-infant health gradient is similar across black and white race groups.

Regional variations and socio-economic disparities in neonatal mortality in Angola: a cross-sectional study using demographic and health surveys

BACKGROUND

Inequalities in neonatal mortality rates (NMRs) in low- and middle-income countries show key disparities at the detriment of disadvantaged population subgroups. There is a lack of scholarly evidence on the extent and reasons for the inequalities in NMRs in Angola.

OBJECTIVE

The aim of this study was to assess the socio-economic, place of residence, region and gender inequalities in the NMRs in Angola.

METHODS

The World Health Organization Health Equity Assessment Toolkit software was used to analyse data from the 2015 Angola Demographic and Health Survey. Five equity stratifiers: subnational regions, education, wealth, residence and sex were used to disaggregate NMR inequality. Absolute and relative inequality measures, namely, difference, population attributable fraction (PAF), population attributable risk (PAR) and ratio, were calculated to provide a broader understanding of the inequalities in NMR. Statistical significance was calculated at corresponding 95% uncertainty intervals.

FINDINGS

We found significant wealth-driven [PAR = -14.16, 95% corresponding interval (CI): -15.12, -13.19], education-related (PAF = -22.5%, 95% CI: -25.93, -19.23), urban-rural (PAF = -14.5%, 95% CI: -16.38, -12.74), sex-based (PAR = -5.6%, 95% CI: -6.17, -5.10) and subnational regional (PAF = -82.2%, 95% CI: -90.14, -74.41) disparities in NMRs, with higher burden among deprived population subgroups.

CONCLUSIONS

High NMRs were found among male neonates and those born to mothers with no formal education, poor mothers and those living in rural areas and the Benguela region. Interventions aimed at reducing NMRs, should be designed with specific focus on disadvantaged subpopulations.

Intergenerational Change in Birthweight: Effects of Foreign-born Status and Race/Ethnicity

BACKGROUND

Foreign-born women have heavier infants than US-born women, but it is unclear whether this advantage persists across generations for all races and ethnicities.

METHODS

Using 1971-2015 Florida birth records, we linked records of female infants within families to assess intergenerational changes in birthweight and prevalence of low birthweight by grandmother's race/ethnicity and foreign-born status. We also assessed educational gradients in low birthweight in two generations.

RESULTS

Compared with daughters of US-born black women, daughters of foreign-born black women had substantially higher birthweights (3,199 vs. 3,083 g) and lower prevalence of low birthweight (7.8% vs. 11.8%). Daughters of foreign-born Hispanic women had moderately higher birthweights (3,322 vs. 3,268 grams) and lower prevalence of low birthweight (4.5% vs. 6.2%) than daughters of US-born Hispanic women. In the next generation, a Hispanic foreign-origin advantage persisted in low birthweight prevalence (6.1% vs. 7.2%), but the corresponding black foreign-origin advantage was almost eliminated (12.2% vs. 13.1%). Findings were robust to adjustment for sociodemographic and medical risk factors. In contrast to patterns for other women, the prevalence of low birthweight varied little by maternal education for foreign-born black women. However, a gradient emerged among their US-born daughters.

CONCLUSIONS

The convergence of birthweight between descendants of foreign-born and US-born black women is consistent with theories positing that lifetime exposure to discrimination and socioeconomic inequality is associated with adverse health outcomes for black women. The emergence of a distinct educational gradient in low birthweight prevalence between generations underscores hypothesized adverse effects of multiple dimensions of disadvantage.

Causal assessment in demographic research

Causation underlies both research and policy interventions. Causal inference in demography is however far from easy, and few causal claims are probably sustainable in this field. This paper targets the assessment of causality in demographic research. It aims to give an overview of the methodology of causal research, pointing out various problems that can occur in practice. The “Intervention studies” section critically examines the so-called gold standard in causality assessment in experimental studies, randomized controlled trials, and the use of quasi-experiments and interventions in observational studies. The “Multivariate statistical models” section deals with multivariate statistical models linking a mortality or fertility indicator to a series of possible causes and controls. Single and multiple equation models are considered. The “Mechanisms and structural causal modelling” section takes into account a more recent trend, i.e., mechanistic explanations in causal research, and develops a structural causal modelling framework stemming from the pioneering work of the Cowles Commission in econometrics and of Sewall Wright in population genetics. The “Assessing causality in demographic research” section examines how causal analysis could be further applied in demographic studies, and a series of proposals are discussed for this purpose. The paper ends with a conclusion pointing out, in particular, the relevance of structural equation models, of triangulation, and of systematic reviews for causal assessment.

Race/ethnicity, maternal educational attainment, and infant mortality in the United States

This study examines patterns of and explanations for racial/ethnic-education disparities in infant mortality in the United States. Using linked birth and death data (2007-2010), we find that while education-specific infant mortality rates are similar for Mexican Americans and Whites, infants of college-educated African American women experience 3.1 more deaths per 1,000 live births (Rate Ratio = 1.46) than infants of White women with a high school degree or less. The high mortality rates among infants born to African American women of all educational attainment levels are fully accounted for by shorter gestational lengths. Supplementary analyses of data from the National Longitudinal Study of Adolescent to Adult Health show that college-educated African American women exhibit similar socioeconomic, contextual, psychosocial, and health disadvantages as White women with a high school degree or less. Together, these results demonstrate African American-White infant mortality and socioeconomic, health, and contextual disparities within education levels, suggesting the role of life course socioeconomic disadvantage and stress processes in the poorer infant health outcomes of African Americans relative to Whites.