Economic Downturns and Inequities in Birth Outcomes: Evidence From 149 Million US Births

Relationship Between Sex-Specific Labor Market Performance and Breastfeeding Prevalence

BACKGROUND

Prior research has explored the association between women's employment status and breastfeeding at the individual level, however; a notable gap in scholarly inquiry exists regarding the relationship between labor market performance and breastfeeding at the population level.

RESEARCH AIM

The aim of this paper is to investigate the association between labor market performance and breastfeeding prevalence in the United States.

METHODS

This study is a cross-sectional analysis of the association between labor market performance and the prevalence of breastfeeding. Our analysis is conducted at the state level using data published up to late 2021 from the Current Population Survey and the National Immunization Survey. The first dataset was used to construct aggregate and sex-specific state level indicators of labor market performance for both males and females. The second dataset supplied the proportion of mothers breastfeeding for the corresponding birth cohort from each state.

RESULTS

Higher average weekly hours worked by females in the year before giving birth was associated with a lower prevalence of breastfeeding, but employment rates among females did not significantly affect breastfeeding prevalence. Among males, current employment rates were positively associated with breastfeeding prevalence; however, no significant relationship was observed between breastfeeding prevalence and average weekly work hours worked.

CONCLUSION

Sex-specific labor market performance may play a role in breastfeeding decisions and the timing of labor market performance relative to childbirth is important. Furthermore, these results highlight that employment rates and hours worked might be associated with child health through breastfeeding prevalence.

Using individual approach to examine the association between urban heat island and preterm birth: A nationwide cohort study in China

BACKGROUND

Evidence suggests that maternal exposure to heat might increase the risk of preterm birth (PTB), but no study has investigated the effect from urban heat island (UHI) at individual level.

AIMS

Our study aimed to investigate the association between individual UHI exposure and PTB.

METHODS

We utilized data from the ongoing China Birth Cohort Study (CBCS), encompassing 103,040 birth records up to December 2020. UHI exposure was estimated for each participant using a novel individual assessment method based on temperature data and satellite-derived land cover data. We used generalized linear mixed-effects models to estimate the association between UHI exposure and PTB, adjusting for potential confounders including maternal characteristics and environmental factors.

RESULTS

Consistent and statistically significant associations between UHI exposure and PTB were observed up to 21 days before birth. A 5 °C increment in UHI exposure was associated with 27 % higher risk (OR = 1.27, 95 % confident interval: 1.20, 1.34) of preterm birth in lagged day 1. Stratified analysis indicated that the associations were more pronounced in participants who were older, had higher pre-pregnancy body mass index level, of higher socioeconomic status and living in greener areas.

CONCLUSION

Maternal exposure to UHI was associated with increased risk of PTB. These findings have implications for developing targeted interventions for susceptible subgroups of pregnant women. More research is needed to validate our findings of increased risk of preterm birth due to UHI exposure among pregnant women.

The association of state percent uninsured and the likelihood of low birth weight: evidence from the 2016-2019 Pregnancy Risk Assessment Monitoring System

OBJECTIVE

To evaluate the association of state-level lack of health insurance among women of reproductive age with variation in state low birth weight (LBW) rates.

STUDY DESIGN

This cross-section study analyzes data from the 2016-2019 Pregnancy Risk Assessment Monitoring Survey for respondents with singleton, live births.

METHODS

Respondents were divided into groups by state-level percent of uninsured women aged 19-44 years. Poisson regression was used to model the association between state percent uninsured and likelihood of LBW, controlling for individual sociodemographic and clinical risk factors. Sensitivity analyses were done for Medicaid and non-Hispanic Black subpopulations and alternative state characteristics, including Gini coefficients, total and public welfare expenditures, and state reproductive rights rankings.

RESULTS

In adjusted multiple regression analyses, compared to respondents from states with <7% uninsured, respondents from states with 7% or more uninsured had an increased risk of LBW status (7-8.99% uninsured: adjusted incidence rate ratio [aIRR] 1.11, 95% confidence interval [CI] 1.04-1.18; 9-11.99% uninsured: aIRR 1.09, 95% CI 1.02-1.17; >11.99% uninsured: aIRR 1.15, 95% CI 1.08-1.22). However, there was no evident dose-response gradient. Sensitivity analyses produced virtually identical findings for subpopulations, and no other state characteristics were significant.

CONCLUSION

States with the highest level of insurance coverage had a significantly lower LBW rate than other states. However, there was little evidence for greater odds of LBW with the highest levels of uninsured. Individual risk factors dominated LBW models, while state differences in income inequality, reproductive health policy, and per capita spending explained little of the variance in LBW.

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.

Job loss and fetal growth restriction: identification of critical trimesters of exposure

PURPOSE

Previous research suggests that job loss in a household during pregnancy may perturb fetal growth. However, this work often cannot rule out unmeasured confounding due to selection into job loss. Recent work using data on exogenous job loss (due to a plant closure) finds that a father's unexpected job loss during his spouse's pregnancy increases the risk of a low weight birth. Using a unique set of linked registries in Denmark, we build on this work and examine whether associations between a father's unexpected job loss and low birthweight differ by trimester of in utero exposure. We additionally examine trimester-specific associations of job loss with small-for-gestational-age, a proxy for restricted fetal growth, which may cause low birthweight.

METHODS

We apply a sibling control design to over 1.4 million live births in Denmark, 1980 to 2017, to examine whether this plausibly exogenous form of job loss corresponds with increased risk of low weight or small-for-gestational-age births, depending on the timing of displacement in the first, second, or third trimester.

RESULTS

Results indicate an elevated risk of low birthweight (OR = 1.80, 95% CI: 1.24, 2.62) and small-for-gestational-age (OR = 1.40, 95% CI: 1.02, 1.93) among gestations exposed to job loss in the second trimester of pregnancy. Sensitivity analyses using continuous outcome measures (e.g., birthweight in grams, birthweight for gestational age percentile) and maternal fixed effects analyses produce substantively similar inference.

CONCLUSIONS

Findings support the notion that unexpected job loss may affect fetal growth and that the second trimester in particular appears sensitive to this external stressor.

Mortality during Resource Booms and Busts

Using national data on county-level mortality, coal mining, and shale development, we examine the effects of resource booms and busts on mortality in the United States. We find evidence that decreases in operating coal mines increased total all-cause mortality, non-drug mortality, and opioid overdose mortality, especially for counties with greater than 10 operating coal mines in 2000. Our model results for drug overdose mortality and opioid overdose mortality are sensitive to the panel's start year. For shale development, the shale boom is associated with increases in non-drug suicides but otherwise had little impact on mortality. Our findings suggest a potential role for job-training programs and the cultivation of local healthcare resources in regions suffering coal busts and suicide prevention in areas with shale development.

Modeling the Likelihood of Low Birth Weight: Findings from a Chicago-Area Health System

OBJECTIVE

This study presents a statistical model of the incidence of low birth weight (LBW) births in a large, Chicago-area hospital system. The study was undertaken to provide a strategic framework for future health system interventions.

METHODS

Administrative and electronic health records were matched to census Zip Code Tabulation Area (ZCTA) household poverty data for 42,681 births in 2016-2019 at seven system hospitals, serving a diverse patient population. A logistic regression model of LBW incidence was estimated to test the independent significance of maternal sociodemographic characteristics after controlling for clinical risk factors.

RESULTS

The incidence of LBW was 6.3% overall but 11.3% among non-Hispanic Black patients as compared to 5.1% among non-Hispanic White patients. LBW incidence ranged from 9.2% for patients from the poorest ZCTA (20% + poor households) compared to 5.6% of patients from the most affluent (< 5% poor) ZCTA. Nulliparous patients, patients with pre-existing chronic conditions, and patients with hypertensive disorders of pregnancy were significantly more likely to have LBW births. After controlling for clinical risk factors and poverty level, non-Hispanic Black patients were still over 80% more likely and to have a LBW birth.

DISCUSSION

Study findings reveal the joint effects of social and clinical risk factors. Findings profile our highest-risk populations for targeted interventions. Promising prenatal care redesign programs include pregnancy patient navigators, home and group visits, eHealth telemonitoring, improved mental health screening, and diversification of the maternity care workforce. Decreasing LBW births should be a national public health policy priority and will require major investments in the most impacted communities.

Effects of extreme temperature on the risk of preterm birth in China: A population-based multi-center cohort study

BACKGROUND

Extreme temperatures are associated with the risk of preterm birth (PTB), but evidence on the effects of different clinical subtypes and across different regions is limited. We aimed to evaluate the effects of maternal exposure to extreme temperature on PTB and its clinical subtypes in China, and to identify effect modification of regional factors in dimensions of population, economy, medical resources and environmental factors.

METHODS

This was a prospective population-based cohort of 210,798 singleton live births from 16 counties in eight provinces across China during 2014-2018. We used an extended Cox regression with time-varying variables to evaluate the effects of extreme heat and cold on PTB and its subtypes in the entire pregnancy, each trimester, the last gestational month and week. Meta-analysis and meta-regression were conducted to estimate the pooled effects of each city and effect modification by regional characteristics.

FINDINGS

Exposure to heat and cold during the entire pregnancy significantly increased the risk of PTB. The effects varied with subtypes, for medically indicated and spontaneous PTB, hazard ratios were 1·84 (95% CI: 1·29, 2·61) and 1·50 (95% CI: 1·11, 2·02) for heat, 2·18 (95% CI: 1·83, 2·60) and 2·15 (95% CI: 1·92, 2·41) for cold. The associations were stronger for PTB less than 35 weeks than those during weeks 35-36. The effects varied across locations, and GDP per capita (β=-0·16) and hospital beds per 1000 persons (β=-0·25) were protective factors for the effects.

INTERPRETATION

Extreme temperature can increase the risk of medically indicated and spontaneous PTB, and higher regional socio-economic status may moderate such effects. In the context of climate change, such findings may have important implications for protecting the health of vulnerable groups, especially newborns.

FUNDING

National Key R&D Program of China (2018YFA0606200), National Natural Science Foundation of China (42175183), Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20030302), National Natural Science Foundation of China (42071377).

Highly public anti-Black violence and preterm birth odds for Black and White mothers

Highly public anti-Black violence may increase preterm birth in the general population of pregnant women via stress-mediated paths, particularly Black women exposed in early gestation. To examine spillover from racial violence in the US, we included a total of 49 high publicity incidents of the following types: police lethal force toward Black persons, legal decisions not to indict/convict officers involved, and hate crime murders of Black victims. National search interest in these incidents was measured via Google Trends to proxy for public awareness of racial violence. Timing of racial violence was coded in relation to a three-month preconception period and subsequent pregnancy trimesters, with the primary hypothesis being that first trimester exposure is associated with higher preterm birth odds. The national sample included 1.6 million singleton live births to US-born Black mothers and 6.6 million births to US-born White mothers from 2014 to 2017. Using a preregistered analysis plan, findings show that Black mothers had 5% higher preterm birth odds when exposed to any high publicity racial incidents relative to none in their first trimester, and 2-3% higher preterm birth odds with each log10 increase in national interest. However, post hoc sensitivity tests that included month fixed effects attenuated these associations to null. For White mothers, associations were smaller but of a similar pattern, and were attenuated when including month fixed effects. Highly public anti-Black violence may act as a national stressor, yet whether racial violence is associated with reproductive outcomes in the population is unknown and merits further research.

Poverty after Birth: How Mothers Experience and Navigate U.S. Safety Net Programs to Address Family Needs

Although pregnancy and the first year of life are sensitive windows for child development, we know very little about the lived experiences of mothers living in poverty or near poverty during the perinatal period; specifically, how they perceive and use public resources to support themselves and their newborn. In this qualitative study, we explore how predominantly Black and Latinx mothers with infants living in or near poverty and engaged in public assistance manage to meet their family's needs with available resources from safety net programs and social supports. We conducted 20 qualitative interviews with mothers living in (85%) or near poverty in New York City (NYC). All participants (mean age = 24) had an 11-month-old infant at the time of the interview. Using thematic analysis, we identified five main themes reflecting how mothers experience and navigate living with very low incomes while engaging in public assistance programs: (1) experiencing cascading effects of hardships during pregnancy, (2) relying on food assistance and informal supports amid scarcity, (3) waiting for limited affordable housing: 'life on hold', (4) finding pathways towards stability after the baby's birth, (5) making it work: efforts to look forward. Results describe how the current focus on "work first" of existing federal and state policies adds a layer of stress and burden on the lives of single mothers experiencing low incomes and entangled hardships during pregnancy and after birth. We document how mothers experience coverage gaps and implementation challenges navigating the patchwork of public assistance programs, yet how the support of flexible caseworkers accessing, using, and coordinating assistance has the potential to help mothers plan for longer-term goals.

Does a Rising Median Income Lift All Birth Weights? County Median Income Changes and Low Birth Weight Rates Among Births to Black and White Mothers

Policy Points Policies that increase county income levels, particularly for middle-income households, may reduce low birth weight rates and shrink disparities between Black and White infants. Given the role of aggregate maternal characteristics in predicting low birth weight rates, policies that increase human capital investments (e.g., funding for higher education, job training) could lead to higher income levels while improving population birth outcomes. The association between county income levels and racial disparities in low birth weight is independent of disparities in maternal risks, and thus a broad set of policies aimed at increasing income levels (e.g., income supplements, labor protections) may be warranted.

CONTEXT

Low birth weight (LBW; <2,500 grams) and infant mortality rates vary among place and racial group in the United States, with economic resources being a likely fundamental contributor to these disparities. The goals of this study were to examine time-varying county median income as a predictor of LBW rates and Black-White LBW disparities and to test county prevalence and racial disparities in maternal sociodemographic and health risk factors as mediators.

METHODS

Using national birth records for 1992-2014 from the National Center for Health Statistics, a total of approximately 27.4 million singleton births to non-Hispanic Black and White mothers were included. Data were aggregated in three-year county-period observations for 868 US counties meeting eligibility requirements (n = 3,723 observations). Sociodemographic factors included rates of low maternal education, nonmarital childbearing, teenage pregnancy, and advanced-age pregnancy; and health factors included rates of smoking during pregnancy and inadequate prenatal care. Among other covariates, linear models included county and period fixed effects and unemployment, poverty, and income inequality.

FINDINGS

An increase of $10,000 in county median income was associated with 0.34 fewer LBW cases per 100 live births and smaller Black-White LBW disparities of 0.58 per 100 births. Time-varying county rates of maternal sociodemographic and health risks mediated the association between median income and LBW, accounting for 65% and 25% of this estimate, respectively, but racial disparities in risk factors did not mediate the income association with Black-White LBW disparities. Similarly, county median income was associated with very low birth weight rates and related Black-White disparities.

CONCLUSIONS

Efforts to increase income levels-for example, through investing in human capital, enacting labor union protections, or attracting well-paying employment-have broad potential to influence population reproductive health. Higher income levels may reduce LBW rates and lead to more equitable outcomes between Black and White mothers.

Birth outcomes following unexpected job loss: a matched-sibling design

BACKGROUND

Research documents social and economic antecedents of adverse birth outcomes, which may include involuntary job loss. Previous work on job loss and adverse birth outcomes, however, lacks high-quality individual data on, and variation in, plausibly exogenous job loss during pregnancy and therefore cannot rule out strong confounding.

METHODS

We analysed unique linked registries in Denmark, from 1980 to 2017, to examine whether a father's involuntary job loss during his spouse's pregnancy increases the risk of a low-weight (i.e. <2500 grams) and/or preterm (i.e. <37 weeks of gestational age) birth. We applied a matched-sibling design to 743 574 sibling pairs.

RESULTS

Results indicate an increased risk of a low-weight birth among infants exposed in utero to fathers' unexpected job loss [odds ratio (OR) = 1.37, 95% confidence interval (CI): 1.07, 1.75]. Sex-specific analyses show that this result holds for males (OR = 1.70, 95% CI: 1.14, 2.53) but not females (OR = 1.24, 95% CI: 0.80, 1.91). We find no relation with preterm birth.

CONCLUSIONS

Findings support the inference that a father's unexpected job loss adversely affects the course of pregnancy, especially among males exposed in utero.

Social Adaptability Index and Pregnancy Outcomes in Women With Diabetes During Pregnancy

OBJECTIVE

The social adaptability index (SAI) is a composite indicator capturing an individual's social adaptability within society and socioeconomic status to predict overall health outcomes. The objective of this analysis was to examine whether the SAI is an independent risk factor for adverse pregnancy outcomes in women with and without diabetes during pregnancy.

METHODS

Data from the 2011-2017 National Survey of Family Growth were analyzed using a cross-sectional methodology. Women aged 18-44 years with a singleton gestation were included in the analysis. Maternal diabetes was defined as either presence of pregestational diabetes or diagnosis of gestational diabetes. The SAI was developed from the following maternal variables: educational level, employment status, income, marital status, and substance abuse. A higher score indicated lower risk. A series of multivariable logistic regression models were run stratified by maternal diabetes status to assess the association between SAI and pregnancy outcomes, including cesarean delivery, macrosomia (birth weight ≥4,000 g) and preterm birth (<37 weeks). All analyses were weighted and P <0.05 was considered significant.

RESULTS

A total of 17,772 women were included in the analysis, with 1,965 (10.7%) having maternal diabetes during pregnancy. The SAI was lower in women with diabetes during pregnancy compared with control subjects (6.7 ± 0.2 vs. 7.2 ± 0.1, P <0.001). After adjusting for maternal race and ethnicity, insurance status, BMI, age, and partner support of the index pregnancy, SAI was associated with preterm birth among women with diabetes during pregnancy (adjusted odds ratio 0.83, 95% CI 0.72-0.94). The SAI was not significantly associated with cesarean delivery or macrosomia in women with diabetes during pregnancy and was not associated with these outcomes in women without diabetes during pregnancy.

CONCLUSION

Among women with diabetes during pregnancy, a higher SAI is independently associated with a lower risk of preterm birth. The SAI could be a useful index to identify women at high risk of preterm birth in addition to traditionally defined demographic risk groups among women with diabetes during pregnancy.

Trends in infants born at low birthweight and disparities by maternal race and education from 2003 to 2018 in the United States

BACKGROUND

Understanding current levels, as well as past and future trends, of the percentage of infants born at low birthweight (LBW) in the United States is imperative to improving the health of our nation. The purpose of this study, therefore, was to examine recent trends in percentage of LBW, both overall and by maternal race and education subgroups. Studying disparities in percentage of LBW by these subgroups can help to further understand the health needs of the population and can inform policies that can close race and class disparities in poor birth outcomes.

METHODS

Trends of percentage of LBW in the U.S. from 2003 to 2018, both overall and by race/ethnicity, and from 2007 to 2018 by education and race by education subgroups were analyzed using CDC WONDER Natality data. Disparities were analyzed using between group variance methods.

RESULTS

Percentage of LBW experienced a significant worsening in the most recent 5 years of data, negating nearly a decade of prior improvement. Stark differences were observed by race/ethnicity and by education, with all subgroups experiencing increasing rates in recent years. Disparities also worsened over the course of study. Most notably, all disparities increased significantly from 2014 to 2018, with annual changes near 2-5%.

CONCLUSIONS

Recent reversals in progress in percentage of LBW, as well as increasing disparities particularly by race, are troubling. Future study is needed to continue monitoring these trends and analyzing these issues at additional levels. Targets must be set and solutions must be tailored to population subgroups to effectively make progress towards equitable birth outcomes and maternal health.

African American Unemployment and the Disparity in Periviable Births

Periviable infants (i.e., born before 26 complete weeks of gestation) represent fewer than .5% of births in the US but account for 40% of infant mortality and 20% of billed hospital obstetric costs. African American women contribute about 14% of live births in the US, but these include nearly a third of the country’s periviable births. Consistent with theory and with periviable births among other race/ethnicity groups, males predominate among African American periviable births in stressed populations. We test the hypothesis that the disparity in periviable male births among African American and non-Hispanic white populations responds to the African American unemployment rate because that indicator not only traces, but also contributes to, the prevalence of stress in the population. We use time-series methods that control for autocorrelation including secular trends, seasonality, and the tendency to remain elevated or depressed after high or low values. The racial disparity in male periviable birth increases by 4.45% for each percentage point increase in the unemployment rate of African Americans above its expected value. We infer that unemployment—a population stressor over which our institutions exercise considerable control—affects the disparity between African American and non-Hispanic white periviable births in the US.

Maternal employment and pregnancy outcomes in a large European maternity hospital

OBJECTIVE

Epidemiological studies have previously reported that maternal socioeconomic disadvantage is associated with adverse feto-maternal outcomes. However, little attention has been paid to the question of the woman's employment status. The aim of this observational study was to examine the relationship between maternal employment status at the first antenatal visit and pregnancy outcomes.

STUDY DESIGN

The study was confined to women with a singleton pregnancy who attended for maternity care between the years 2010 and 2017 and delivered a baby weighing ≥500 g. Self-reported sociodemographic and clinical details were recorded at the first antenatal visit by a trained midwife and updated before hospital discharge. The hospital is one of the largest in Europe and accepts women from all socioeconomic groups, including women in the public system and those with private health insurance, across the rural-urban spectrum.

RESULTS

Of the 62,395 women, the mean age was 31.5 years (SD 5.4), 39.3% were nulliparas and 70.7% were Irish born. Compared with the 45,028 (72.2%) women who reported as being in paid employment, the 4984 (8.0%) women who were unemployed had a higher rate of stillbirth (8/4984 vs. 27/45,028, p = 0.005) and homemakers had a higher incidence of neonatal death (31/12,383 vs. 73/45,028, p = 0.02). On multivariable analysis, women who were unemployed or homemakers had increased adjusted odds ratios for neonatal unit (NNU) admissions, preterm birth, low birth weight, and small-for-gestational-age. Compared to women in paid employment, women who were unemployed or homemakers were associated with younger age (<30 years) in pregnancy, multiparity, unplanned pregnancy, no or postconceptional only folic acid supplementation, anxiolytic/antidepressant use, as well as persistent smoking and illicit drug use during pregnancy.

CONCLUSIONS

In a high-income European country, women who reported as unemployed or homemakers were associated with higher rates of adverse pregnancy outcomes. Furthermore, these women were associated with suboptimal lifestyle behaviours such as smoking and illicit drug use in early pregnancy. This highlights the need for long term public policies on female unemployment and retaining women with children in employment.

In utero exposure to economic fluctuations and birth outcomes: An analysis of the relevance of the local unemployment rate in Brazilian state capitals

Objective

Analyze if in utero exposure to economic downturns is associated with worsened birth outcomes.

Methods

We used birth records from all live singleton births in the 27 Brazilian state capitals between October 2012 and December 2016 (n = 2,952,430) and linked them to local unemployment rates according to the mother’s residence. We estimated the association between different birth outcomes and the local unemployment rate in the three trimesters before birth. We included maternal characteristics and month, year and municipality fixed effects as covariates. We also estimated the association for different groups of mothers, based on marital status, educational level, age and race.

Results

A 1 p.p. increase in the local unemployment rate in the trimester before birth is associated with 2.68% higher odds of being born with very low birthweight (< 1500 grams) (OR: 1.0268, 95% CI: 1.0006–1.0536). That result is pushed by the effect among newborns from mothers younger than 24 (OR: 1.0684, 95%CI: 1.0353–1.1024), from mothers with 11 years of schooling or less (OR: 1.0477, 95% CI: 1.0245–1.0714), and from brown or black mothers (OR: 1.0387, 95%CI: 1.0156–1.0624). The associations among children born from younger, less educated and black or brown mothers are robust to the application of a procedure to control for multiple testing, albeit the results considering the whole sample are not.

Conclusions

Our study shows that there is an association between in utero exposure to higher unemployment rates during the last gestational trimester and the odds of being born with VLBW among children born from mothers younger than 24 years old, with less of 11 years of education and black or brown. These results suggest that children born from women of low socioeconomic status are more vulnerable to in utero exposure to economic downturns.

The Great Recession and adverse birth outcomes: Evidence from California, USA

Objectives

Prior studies of the health effects of recessions have shown mixed results. Ecological studies often report a positive relationship between economic downturns and population health while individual-level studies often show that conditions related to recessions are deleterious. Our study examines the spatially and temporally heterogenous effects of the Great Recession (TGR) on adverse birth outcomes, a contemporaneous measure of population health that is highly responsive to changing social conditions.

Methods

We use restricted birth cohort data from California (2004–2012) merged with both county- and tract-level socio-demographic data, to explore birth selectivity and temporal and unemployment effects during TGR on adverse birth outcomes.

Results

We find that gestational exposure – more specifically, second trimester exposure – during or adjacent to the months of TGR was generally deleterious for birth outcomes, more so, in some cases, for mothers with lower levels of education, and that increases in county-level unemployment were generally deleterious for birth outcomes.

Conclusions

Although recessionary effects on population health are problematic and may have far-reaching effects, it appears that these effects may be largely universal, even given potential selective fertility favoring advantaged groups.

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We use restricted data from California to determine the effects of The Great Recession on adverse birth outcomes.

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We find that increases in unemployment are generally harmful to birth outcomes.

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We also find these effects to be largely universal and not differential in disparity populations.