Family cash transfers in childhood and birthing persons and birth outcomes later in life.

Much literature in the US documents an intergenerational transmission of birthing person and perinatal morbidity in socioeconomically disadvantaged groups. A separate line of work indicates that family cash transfers may improve life chances of low-income families well into adulthood. By exploiting a quasi-random natural experiment of a large family cash transfer among a southeastern American Indian (AI) tribe in rural North Carolina, we examine whether a "perturbation" in socioeconomic status during childhood improves birthing person/perinatal outcomes when they become parents themselves. We acquired birth records on 6805 AI and non-AI infants born from 1995 to 2018. Regression methods to examine effect modification tested whether the birthing person's American Indian (AI) status and exposure to the family cash transfer during their childhood years corresponds with improvements in birthing person and perinatal outcomes. Findings show an increase in age at childbearing (coef: 0.15 years, 95% confidence interval [CI]: 0.05, 0.25) and a decrease in pre-pregnancy body mass index (BMI; coef: -0.42, 95% CI: -0.76, -0.09) with increased duration of cash transfer exposure during childhood. The odds of large-for-gestational age at delivery, as well as mean infant birthweight, is also reduced among AI births whose birthing person had relatively longer duration of exposure to the cash transfer. We, however, observe no relation with other birthing person/perinatal outcomes (e.g., tobacco use during pregnancy, preterm birth). In this rural AI population, cash transfers in one generation correspond with improved birthing person and infant health in the next generation.

Racial disparities in law enforcement/court-ordered psychiatric inpatient admissions after the 2008 recession: a test of the frustration-aggression-displacement hypothesis.

BACKGROUND: Societies under duress may selectively increase the reporting of disordered persons from vulnerable communities to law enforcement. Mentally ill African American males reportedly are perceived as more threatening relative to females and other race/ethnicities. We examine whether law enforcement/court order-requested involuntary psychiatric hospitalizations increased among African American males shortly after ambient economic decline-a widely characterized population stressor. METHODS: We identified psychiatric inpatient admissions requested by law enforcement/court orders from 2006 to 2011 across four US states (Arizona, California, New York, North Carolina). Our analytic sample comprises 13.1 million psychiatric inpatient admissions across 95 counties over 72 months. We operationalized exposure to economic downturns as percent change in monthly employment in a metropolitan statistical area (MSA). We used zero inflated negative binomial and linear fixed effects regression analyses to examine psychiatric inpatient admissions requested by law enforcement/court orders following regional employment decline over a time period that includes the Great Recession of 2008. FINDINGS: Declines in monthly employment precede by one month a 6% increase in psychiatric hospitalizations requested by law enforcement/court order among African American males (p < 0.05), but not among other race/sex groups. Estimates amount to an excess of 2554 involuntary admissions among African American males statistically attributable to aggregate-level employment decline. CONCLUSIONS: Economic downturns may increase involuntary psychiatric commitments among African American males. Our findings underscore the unique vulnerability of racial/ethnic minorities during economic contractions.

Disparities in preterm birth following the July 1995 Chicago heat wave.

PURPOSE: To evaluate if changes in preterm birth (PTB, <37 weeks of gestation) incidence differed between non-Hispanic (NH) Black and NH white births following the July 1995 Chicago heat wave-among the most severe U.S. heat waves since 1950. METHODS: We used an ecologic study design. We obtained birth data from January 1990-December 1996 from the National Vital Statistics File to calculate the mean monthly PTB incidence in Chicago's Cook County, Illinois. Births between July 1995 and February 1996 were potentially exposed to the heat wave in utero. We generated time series models for NH Black and NH white births, which incorporated synthetic controls of Cook County based on unexposed counties. We ran a secondary analysis considering socioeconomic status (SES). RESULTS: From 1990-1996, the mean monthly PTB incidence among NH Black births was 18.6% compared to 7.8% among NH white births. The mean monthly PTB incidence among NH Black births from August 1995-January 1996 was 16.7% higher than expected (three additional PTBs per 100 live births per month [95% confidence interval (CI): 1, 5]). A similar increase occurred among low-SES NH Black births. No increase appeared among NH white births. CONCLUSIONS: Severe heat waves may increase racial disparities in PTB incidence.

Sanctuary city policies and Latinx immigrant mental health in California.

This quasi-experimental study examined whether "sanctuary city" policies are an effective mechanism for reducing mental health inequalities by immigrant origin status in Latinx populations in California. Ample evidence indicates that people experience mental health problems when restrictive immigration policies are imposed. It remains unclear whether sanctuary city policies can improve population mental health in the groups targeted by restrictive immigration policies: undocumented immigrant Latinxs, documented immigrant Latinxs, and native-born Latinxs. We combined data on California's 482 cities concerning whether and when they implemented a sanctuary policy with health data on approximately 142,000 adults, 6400 adolescents and 13,000 children from the multi-year California Health Interview Survey. After using propensity score matching to identify non-sanctuary cities comparable to sanctuary cities, we estimated respondent-level difference-in-differences models to determine whether sanctuary city policies had beneficial mental health effects on three age groups: adults, adolescents, and children during the period 2007-2018. There was a trend toward improved mental health in sanctuary cities after policy enactment, but the patterns of mental health in the three Latinx immigration sub-groups of each age group did not conform to our hypotheses. Buffering the adverse effects of harsh federal immigration policies may need to involve other approaches, such as expanded local mental health care access. We discuss these results in terms of alternative treatment interference, residents' policy awareness, the policy's capacity to address past health impacts, methodological issues, and potential policy momentum.

Association of Suicide Attempt with Stimulant Abuse in California Emergency Departments in 2011: A Study of 10 Million ED Visits.

INTRODUCTION: Our goal in this study was to identify stimulant abuser patients who are at specifically high risk of suicide attempt (SAT), in order to prioritize them in preventive and risk mitigation programs. METHODS: We used the California State Emergency Department Database (SEDD) to obtain discharge information for 2011. The SEDD contains discharge information on all outpatient ED encounters, including uninsured patients and those covered by Medicare, Medicaid, and private insurance. We identified SAT and stimulant abuse by using the relevant International Classification of Diseases, Ninth Revision, codes. RESULTS: The study included 10,124,598 outpatient ED visits. Stimulant abuse was observed in 0.97% of ED visits. Stimulant abuse was more common among young and middle-aged males and people with low median household income. Moreover, it was more common among Native American (1.8%) and Black (1.8%), followed by non-Hispanic White (1.1%) patients. The prevalence of SAT was 2.0% (N = 2000) for ED visits by patients with a history of stimulant abuse, and 0.3% (N = 28,606) for ED visits without a history of stimulant abuse (odds ratio 7.29, 95% confidence interval, 6.97-7.64). The SATs were directly associated with stimulant abuse, younger age (age groups >10), and non-Hispanic White and Native American race. Association of SAT with stimulant abuse was stronger in female patients. CONCLUSION: Stimulant abuse was the only modifiable risk factor for suicide attempt in our study. Reaching out to populations with higher prevalence of stimulant abuse (young and middle-aged individuals who are Native American or Black, with lower household income) to control the stimulant abuse problem, may reduce the risk of SAT. In this regard, people who are at higher risk of SAT due to non-modifiable risk factors (younger age, and Native American or White race) should be prioritized. Moreover, controlling stimulant abuse among women may be specifically effective in SAT prevention.

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.

Projecting health labor market dynamics for a health system in transition: planning for a resilient health workforce in Saudi Arabia.

BACKGROUND: Health workforce planning is critical for health systems to safeguard the ability to afford, train, recruit, and retain the appropriate number and mix of health workers. This balance is especially important when macroeconomic structures are also reforming. The Kingdom of Saudi Arabia is moving toward greater diversification, privatization, and resiliency; health sectorreform is a key pillar of this transition. METHODS: We used the Ministry of Health Yearbook data on the number of workers and health expenditures from 2007 to 2018 and projected health labor market supply and demand of workers through 2030, evaluated the potential shortages and surpluses, and simulated different policy scenarios to identify relevant interventions. We further focused on projections for health workers who are Saudi nationals and health worker demand within the public sector (versus the private sector) to inform national objectives of reducing dependency on foreign workers and better deploying public sector resources. RESULTS: We projected the overall health labor market to demand 9.07 physicians and nurses per 1,000 population (356,514) in 2030; the public sector will account for approximately 67% of this overall demand. Compared to a projected supply of 10.16 physicians and nurses per 1,000 population (399,354), we estimated an overall modest surplus of about 42,840 physicians and nurses in 2030. However, only about 17% of these workers are estimated to be Saudi nationals, for whom there will be a demand shortage of 287,895 workers. Among policy scenarios considered, increasing work hours had the largest effect on reducing shortages of Saudi workers, followed by bridge programs for training more nurses. Government resources can also be redirected to supporting more Saudi nurses while still ensuring adequate numbers of physicians to meet service delivery goals in 2030. CONCLUSION: Despite projected overall balance in the labor market for health workers in 2030, without policy interventions, severe gaps in the Saudi workforce will persist and limit progress toward health system resiliency in Saudi Arabia. Both supply- and demand-side policy interventions should be considered, prioritizing those that increase productivity among Saudi health workers, enhance training for nurses, and strategically redeploy financial resources toward employing these workers.

A needs-based methodology to project physicians and nurses to 2030: the case of the Kingdom of Saudi Arabia.

BACKGROUND: The Kingdom of Saudi Arabia (KSA), as part of its 2030 National Transformation Program, set a goal of transforming the healthcare sector to increase access to, and improve the quality and efficiency of, health services. To assist with the workforce planning component, we projected the needed number of physicians and nurses into 2030. We developed a new needs-based methodology since previous global benchmarks of health worker concentration may not apply to the KSA. METHODS: We constructed an epidemiologic "needs-based" model that takes into account the health needs of the KSA population, cost-effective treatment service delivery models, and worker productivity. This model relied heavily on up-to-date epidemiologic and workforce surveys in the KSA. We used demographic population projections to estimate the number of nurses and physicians needed to provide this core set of services into 2030. We also assessed several alternative scenarios and policy decisions related to scaling, task-shifting, and enhanced public health campaigns. RESULTS: When projected to 2030, the baseline needs-based estimate is approximately 75,000 workers (5788 physicians and 69,399 nurses). This workforce equates to 2.05 physicians and nurses per 1000 population. Alternative models based on different scenarios and policy decisions indicate that the actual needs for physicians and nurses may range from 1.64 to 3.05 per 1000 population in 2030. CONCLUSIONS: Based on our projections, the KSA will not face a needs-based health worker shortage in 2030. However, alternative model projections raise important policy and planning issues regarding various strategies the KSA may pursue in improving quality and efficiency of the existing workforce. More broadly, where country-level data are available, our needs-based strategy can serve as a useful step-by-step workforce planning tool to complement more economic demand-based workforce projections.

Fertility, economic development, and suicides among women in India.

PURPOSE: Indian states at greater levels of economic development report more suicides. This relation appears stronger among women relative to men. We test the hypothesis, suggested in the literature, that conflict between rapid economic growth and inadequate female autonomy (approximated using total fertility rate) varies positively with female suicides. METHODS: We used state-level data on female suicides for all 35 Indian states and union territories, from 2001 to 2011, from the National Crime Records Bureau. We specified, as our outcome, age-adjusted female suicides per 100,000 population per state-year. We retrieved data on key covariates, namely, gross state domestic product (GSDP) per capita, total fertility rate (TFR), and other control variables from multiple national surveys and publicly available data sources. We examined whether and to what extent age-adjusted female suicides (per 100,000 population) correspond with total fertility rate (lower TFR indicates greater female autonomy and vice versa) within the context of greater economic development (GSDP per capita). Linear longitudinal mixed effect regressions controlled for state-specific random intercepts, son preference (male:female sex ratio at birth), literacy gap (percentage difference between literate males and females), access to health systems (institutional deliveries), female to male employment ratio, and linear time trends. RESULTS: At constant levels of GSDP per capita, a one unit decline in TFR corresponds with 0.27 fewer female suicides per 100,000 population (P value = 0.008). Sensitivity tests indicate that this relation does not hold for male age-adjusted suicides (per 100,000 population). CONCLUSION: Our findings, if replicated, indicate that at constant levels of economic development, lower TFR (indicating greater female autonomy) may reduce suicide risk among women.

Income dividends and subjective survival in a Cherokee Indian cohort: a quasi-experiment.

Persons with high temporal discounting tend to value immediate gratification over future gains. Low self-reported lifespan (SRL)-an individual's assessment of a relatively short future lifespan-concentrates in low-income populations and may reflect high temporal discounting. We use casino-based cash dividends among the Eastern Band of Cherokee Indians (EBCI) as a quasi-experiment to test whether large income gains among EBCI members translate into increased SRL. We used SRL data for EBCI and White youth, aged 19 to 28, participating in two waves of the Life Time Trajectory of Youth (LTI-Y) survey from 2000 to 2010. We controlled for unobserved confounding across individuals, time, and region through a longitudinal design using a difference-in-difference analytic approach (N = 294). We conducted all analyses separately by gender and by quartile of socioeconomic status. Cash dividends correspond with a 15.23 year increase in SRL among EBCI men below the lowest socio-economic quartile at baseline relative to Whites (standard error = 5.39, p < .01). Results using other socio-economic cut-points support improved SRL among EBCI men (but not women). The large magnitude of this result among EBCI men indicates that a non-trivial cash dividend to a low-income population may confer long-term benefits on perceptions of future lifespan and, in turn, reduce temporal discounting.Abbreviations: EBCI: Eastern Band of Cherokee Indians; SES: Socioeconomic Status; LTI-Y: Life Trajectory Interview for Youth; GSMS: Great Smoky Mountains Study; SRL: Self-Reported Lifespan; SSS: Subjective Social Status.

Racial Disparities in Pediatric Psychiatric Emergencies: A Health Systems Approach.

Less than half of African American youth with severe mental disorders receive psychiatric care. When they do receive care, African American youth use the Emergency Department at higher rates than whites. We examine whether rapid expansion of primary mental health care at Community Health Centers reduces Emergency Department visits for psychiatric care especially among African American youth. Through four studies, we examine (1) the impact of mental health service capacity on the disparity of psychiatric care among African American youth; (2) how Community Health Center mental health visits vary with repeat psychiatric emergency visits; (3) the county-level drivers of the expansion of Community Health Centers; and (4) how Community Health Center expansion affects overall psychiatric emergency care. Results indicate that increased continuity of mental health care at Community Health Centers corresponds with a reduction in racial disparities in youth psychiatric ED visits. In addition, an increase in Community Health Center capacity varies inversely with repeated psychiatric Emergency Department visits and inversely with psychiatric Emergency Department visits overall. And finally, results show an increase in Community Health Center mental health services among counties with greater poverty, lower physician availability, and higher percentage of uninsured. Our studies indicate that expansion of federally-funded primary mental health services affects the overall system of emergency psychiatric care. However, this expansion does not appear to dramatically reduce racial/ethnic disparities in psychiatric emergency department visits.

African American/white disparities in psychiatric emergencies among youth following rapid expansion of Federally Qualified Health Centers.

OBJECTIVE: To test whether rapid expansion of mental health services in Federally Qualified Health Centers (FQHCs) reduces African American/white disparities in youth psychiatric emergency department (ED) visits. DATA SOURCES: Secondary ED data for psychiatric care for 3.3 million African American and white youth in nine states, 2006-2011. We used the HCUP SEDD and SID. We obtained FQHC service data from the Uniform Data System. STUDY DESIGN: The psychiatric ED visit is the dependent variable. Logistic regression methods control for individual risk factors for ED use, as well as county-level health system factors and county and year fixed effects. Key independent variables include indicators of mental health service capacity in FQHCs in a county-year. DATA EXTRACTION METHODS: We extracted ED psychiatric visits for 3.3 million African American and white youth in nine states, 2006-2011, from the HCUP SEDD and SID, and FQHC data from the Uniform Data System. PRINCIPAL FINDINGS: Overall mental health visits at FQHCs correlate positively with psychiatric ED visits among African American youth. However, increases in the number of mental health visits per FQHC patient corresponds with fewer outpatient psychiatric ED visits among African American youth, relative to white youth (odds ratio = 0.96; 95% CI = 0.94, 0.98). CONCLUSIONS: Increases in the intensity of services offered per mental health patient at FQHCs-rather than increases in overall capacity-may reduce African American youth's overreliance on the ED for psychiatric care.

Rapid Growth of Mental Health Services at Community Health Centers.

Community Health Centers (CHCs) target medically underserved communities and expanded by 70% in the last decade. We know little, however, about mental health services at CHCs. We analyzed data from 2006 to 2015 and determined county-level drivers of these services. Mental health patients at CHCs fall from 2006 to 2007 but then rise consistently from 2007 to 2015. Counties with fewer physicians, greater percent insured and greater percent white population show faster growth in mental health services. Increases in mental health services at CHCs outpace general CHC growth and reflect federal efforts to integrate behavioral health care into primary care.

Psychiatric Emergency Department Visits After Regional Expansion of Community Health Centers.

OBJECTIVE: Regional primary health care system capacity may affect the demand for psychiatric visits to the emergency department (ED). In the United States, community health centers (CHCs), which serve low-income regions regardless of individuals' ability to pay, expanded primary care services by over 70% in the past decade. No research, however, evaluates whether this expansion affects overall psychiatric ED visits. This hypothesis is tested in 143 U.S. counties that expanded CHC services. METHODS: For the years 2006 through 2011, 18.84 million psychiatric outpatient ED visits were aggregated by county-year for the 143 U.S. counties with a participating CHC. The rate of psychiatric ED cases in a county-year is the dependent variable. Two independent variables were examined: total patients seen at CHCs and total patients receiving mental health services at CHCs. Fixed-effects regression methods controlled for county effects, year effects, and other health care and sociodemographic factors. RESULTS: Psychiatric ED visits fell below expected levels in county-years where the volume of overall CHC patients rose (coefficient=-0.059; standard error=0.027, p=0.03). Findings indicate no relation between the volume of mental health patients seen at CHCs and psychiatric ED visits. CONCLUSIONS: An increase in general primary health care to an underserved population, in the form of CHCs, corresponds with a decline in psychiatric ED visits. This result coheres with a recent Medicaid expansion experiment in which increased access to general primary care reduced the prevalence of undiagnosed and untreated depression. Findings, if replicated, may hold policy implications for regional health systems.

Subprime Babies: The Foreclosure Crisis and Initial Health Endowments.

The subprime mortgage crisis was a devastating financial shock for many homeowners. This research uses a probabilistic matching strategy to link foreclosure records with birth certificate records from 2006 to 2010 in California to identify birth parents who experienced a foreclosure. Among mothers who did, those issued a loan during the peak of subprime lending from 2005 to 2007 were more Hispanic and socioeconomically disadvantaged than mothers with loans originating before 2005. We use a mother fixed-effects analyses of ever-foreclosed mothers issued a loan during 2006 and 2007 and find that infants in gestation during or after the foreclosure had a lower birth weight for gestational age than those born earlier, suggesting that the foreclosure crisis was a plausible contributor to disparities in initial health endowments.

Understanding periviable birth: A microeconomic alternative to the dysregulation narrative.

Periviable infants (i.e., those born in the 20th through 26th weeks of gestation) suffer much morbidity and approximately half die in the first year of life. Attempts to explain and predict these births disproportionately invoke a "dysregulation" narrative. Research inspired by this narrative has not led to efficacious interventions. The clinical community has, therefore, urged novel approaches to the problem. We aim to provoke debate by offering the theory, inferred from microeconomics, that risk tolerant women carry, without cognitive involvement, high risk fetuses farther into pregnancy than do other women. These extended high-risk pregnancies historically ended in stillbirth but modern obstetric practices now convert a fraction to periviable births. We argue that this theory deserves testing because it suggests inexpensive and noninvasive screening for pregnancies that might benefit from the costly and invasive interventions clinical research will likely devise.

A quantile regression approach to examine fine particles, term low birth weight, and racial/ethnic disparities.

BACKGROUND: Exposure to fine particulate matter (PM2.5) during pregnancy has been shown to be associated with reduced birth weight and racial/ethnic minorities have been found to be more vulnerable. Previous studies have focused on the mean value of birth weight associated with PM2.5, which may mask meaningful differences. We applied a quantile regression approach to investigate the variation by percentile of birth weight and compared non-Hispanic (NH) Black, NH White, and Hispanic mothers. METHODS: Data for singleton births in California from October 24, 2005 to February 27, 2010 were collected from the birth records accessed from the California Department of Public Health. Air pollution monitoring data collected by the California Air Resources Board and interpolated for each zip code using an inverse-distance weighting approach, and linked to maternal zip code of residence reported on the birth certificate. Multilevel linear regression models were conducted with mother's residential zip code tabulation area as a random effect. Multilevel quantile regression models were used to analyze the association at different percentiles of birth weight (5th, 10th, 25th, 50th, 75th, 90th, 95th), as well as examine the heterogeneity in this association between racial/ethnic groups. RESULTS: Linear regression revealed that a 10 µg/m3 increase in PM2.5 exposure during pregnancy is associated with a mean birth weight decrease of 7.31 g [95% confidence interval (CI): 8.10, 6.51] and NH Black mothers are the most vulnerable. Results of the quantile regression are not constant across quantiles. For NH Black mothers whose infants had the lowest birthweight of less than 2673 g (5th percentile), a 10 µg/m3 increase in PM2.5 exposure is associated with a decrease of 18.57 g [95% CI: 22.23, 14.91], while it is associated with a decrease of 7.77 g [95% CI: 8.73, 6.79] for NH White mothers and 7.76 [8.52, 7.00] decrease for Hispanic mothers at the same quantile. CONCLUSION: Results of the quantile regression revealed greater disparities, particularly for infants with the lowest birth weight. By identifying vulnerable populations, we can promote and implement policies to confront these health disparities.

Forecasting imbalances in the global health labor market and devising policy responses.

BACKGROUND: The High-Level Commission on Health Employment and Economic Growth released its report to the United Nations Secretary-General in September 2016. It makes important recommendations that are based on estimates of over 40 million new health sector jobs by 2030 in mostly high- and middle-income countries and a needs-based shortage of 18 million, mostly in low- and middle-income countries. This paper shows how these key findings were developed, the global policy dilemmas they raise, and relevant policy solutions. METHODS: Regression analysis is used to produce estimates of health worker need, demand, and supply. Projections of health worker need, demand, and supply in 2030 are made under the assumption that historical trends continue into the future. RESULTS: To deliver essential health services required for the universal health coverage target of the Sustainable Development Goal 3, there will be a need for almost 45 million health workers in 2013 which is projected to reach almost 53 million in 2030 (across 165 countries). This results in a needs-based shortage of almost 17 million in 2013. The demand-based results suggest a projected demand of 80 million health workers by 2030. CONCLUSIONS: Demand-based analysis shows that high- and middle-income countries will have the economic capacity to employ tens of millions additional health workers, but they could face shortages due to supply not keeping up with demand. By contrast, low-income countries will face both low demand for and supply of health workers. This means that even if countries are able to produce additional workers to meet the need threshold, they may not be able to employ and retain these workers without considerably higher economic growth, especially in the health sector.

Decomposition Analysis of Black-White Disparities in Birth Outcomes: The Relative Contribution of Air Pollution and Social Factors in California.

BACKGROUND: Racial/ethnic disparities in preterm birth (PTB) are well documented in the epidemiological literature, but little is known about the relative contribution of different social and environmental determinants of such disparities in birth outcome. Furthermore, increased focus has recently turned toward modifiable aspects of the environment, including physical characteristics, such as neighborhood air pollution, to reduce disparities in birth outcomes. OBJECTIVES: To apply decomposition methods to understand disparities in preterm birth (PTB) prevalence between births of non-Hispanic black individuals and births of non-Hispanic white individuals in California, according to individual demographics, neighborhood socioeconomic environment, and neighborhood air pollution. METHODS: We used all live singleton births in California spanning 2005 to 2010 and estimated PTBs and other adverse birth outcomes for infants borne by non-Hispanic black mothers and white mothers. To compare individual-level, neighborhood-level, and air pollution [Particulate Matter, 2.5 micrometers or less (PM2.5) and nitrogen dioxide (NO2)] predictors, we conducted a nonlinear extension of the Blinder-Oaxaca method to decompose racial/ethnic disparities in PTB. RESULTS: The predicted differences in probability of PTB between black and white infants was 0.056 (95% CI: 0.054, 0.058). All included predictors explained 37.8% of the black-white disparity. Overall, individual (17.5% for PTB) and neighborhood-level variables (16.1% for PTB) explained a greater proportion of the black-white difference in birth outcomes than air pollution (5.7% for PTB). CONCLUSIONS: Our results suggest that, although the role of individual and neighborhood factors remains prevailing in explaining black-white differences in birth outcomes, the individual contribution of PM2.5 is comparable in magnitude to any single individual- or neighborhood-level factor. https://doi.org/10.1289/EHP490.

Did the Great Recession increase suicides in the USA? Evidence from an interrupted time-series analysis.

PURPOSE: Research suggests that the Great Recession of 2007-2009 led to nearly 5000 excess suicides in the United States. However, prior work has not accounted for seasonal patterning and unique suicide trends by age and gender. METHODS: We calculated monthly suicide rates from 1999 to 2013 for men and women aged 15 and above. Suicide rates before the Great Recession were used to predict the rate during and after the Great Recession. Death rates for each age-gender group were modeled using Poisson regression with robust variance, accounting for seasonal and nonlinear suicide trajectories. RESULTS: There were 56,658 suicide deaths during the Great Recession. Age- and gender-specific suicide trends before the recession demonstrated clear seasonal and nonlinear trajectories. Our models predicted 57,140 expected suicide deaths, leading to 482 fewer observed than expected suicides (95% confidence interval -2079, 943). CONCLUSIONS: We found little evidence to suggest that the Great Recession interrupted existing trajectories of suicide rates. Suicide rates were already increasing before the Great Recession for middle-aged men and women. Future studies estimating the impact of recessions on suicide should account for the diverse and unique suicide trajectories of different social groups.