Structural Bias in the Completeness of Death Investigations for Sudden Unexpected Infant Deaths (SUIDs)

OBJECTIVE

To assess sudden unexpected infant death (SUID) investigations for structural inequities by race/ethnicity and geography.

METHODS

The SUID Case Registry compiles data on death investigations. We analyzed cases from 2015 to 2018 (N = 3847) to examine likelihood of an incomplete death investigation, defined as missing autopsy, missing scene investigation, or missing detailed information about where and how the body was found. We also analyzed which specific components of death investigations led to the greatest number of incomplete investigations.

RESULTS

Twenty-four percent of SUIDs had incomplete death investigations. Death scenes in rural places had 1.51 times the odds of incomplete death investigations (95% confidence interval [CI], 1.19-1.92) compared with urban areas. Scene investigations led by law enforcement were more likely to result in incomplete death investigations (odds ratio [OR] = 1.49; 95% CI, 1.18-1.88) than those led by medical examiners. American Indian/Alaska Native SUIDs were more likely than other racial groups to have an incomplete investigation (OR = 1.49; 95% CI, 0.92-2.42), more likely to occur in rural places ( P = .055), and more likely to be investigated by law enforcement ( P < .001). If doll reenactments had been performed, 358 additional cases would have had complete investigations, and if SUID investigation forms had been performed, 243 additional cases would have had complete investigations. American Indian/Alaska Native SUIDs were also more likely to be missing specific components of death investigations.

CONCLUSION

To produce equitable public health surveillance data used in prevention efforts, it is crucial to improve SUID investigations, especially in rural areas and among American Indian/Alaska Native babies.

Effect of a Randomized Controlled Trial of Housing Vouchers on Adolescent Risky Sexual Behavior Over a 15-Year Period

We examined whether a housing voucher intervention influenced adolescent risky sexual behavior (RSB) across 15 years in the Moving to Opportunity Study. Low-income families in public housing that resided in 5 cities were randomized to one of three treatment groups: a housing voucher to move to low-poverty neighborhoods (i.e., < 10% poverty rate), a Sect. 8 voucher but no housing relocation counseling, or a control group that could remain in public housing. Youth and their caregivers completed baseline surveys, as well as two uniform follow-ups: interim (2001-2002; 4-7 years after baseline) and final (2008-2010; 10-15 years after baseline). Approximately 4,600 adolescents (50.5% female) aged 13-20 years participated at the final timepoint. Adolescents reported on their RSB, including condom use, other contraceptive use, early sexual initiation (< 15 years old), and 2+ sexual partners in the past year. We modeled each indicator separately and as part of a composite index. We tested baseline health vulnerabilities as potential effect modifiers. The low-poverty voucher group and the Sect. 8 voucher group were combined due to homogeneity of their effects. Applying intent-to-treat (ITT) regression analyses, we found no significant main effects of voucher receipt (vs. control) on any RSB. However, we found protective effects of voucher receipt on RSB among youth with health problems that limited activity, and youth < 7 at baseline but adverse effects among females, youth > 7 at baseline, and youth who were suspended/expelled from school. Results highlight the importance of understanding how housing interventions differentially influence adolescent health and behaviors.

Ethnic Enclaves and Incidence of Cancer Among US Ethnic Minorities in the Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Since immigrants and their descendants represent a growing proportion of the US population, there is a strong demographic imperative for scientists to better understand the cancer risk factors at multiple levels that exist for these populations. Understanding the upstream causes of cancer, including neighborhood context, may help prevention efforts. Residence in ethnic enclaves may be one such contextual cause; however, the evidence is mixed, and past research has not utilized prospective designs examining cancer incidence or mortality.

METHODS

We examined the association between residency in ethnic enclaves and cancer events among Hispanic (n = 753) and Chinese (n = 451) participants without a history of cancer in the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective cohort study that enrolled participants ages 45-84 in six US cities. Cancer events included deaths and hospitalization for any cancer diagnosis from 2000-2012. Residency in an ethnic enclave was operationalized as their geocoded baseline census tract having a concentration of residents of the same ethnicity greater than the 75th percentile (compared to non-ethnic enclave otherwise). Potential confounders were blocked into three categories: sociodemographic, acculturation, and biomedical/health behavior variables. To examine the association between ethnic enclaves and cancer, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards models.

RESULTS

Among Hispanic participants, residing in ethnic enclaves (vs. not) was associated with a 39% reduction in cancer risk (HR 0.61, 95%CI: 0.31, 1.21) after adjusting for sociodemographic variables. Among Chinese participants, residing in ethnic enclaves was associated with a 2.8-fold increase in cancer risk (HR 2.86, 95%CI; 1.38, 5.94) after adjusting for sociodemographic variables.

CONCLUSIONS

Our results suggest that the association between ethnic enclaves and cancer events differs by ethnic group, suggesting that different social and contextual factors may operate in different communities.

Family deaths in the early life course and their association with later educational attainment in a longitudinal cohort study

Due to structural racism and pathways between racism and health, Black and Native American people die at younger ages than white people. This means that those groups are likely to experience deaths of family members at younger ages. Evidence is mixed about whether family deaths affect educational attainment. We aim to 1) estimate the prevalence of family deaths by age and race 2) estimate the effect of a family death on later educational attainment and 3) analyze whether the effect of a family death varies by age, socioeconomic status, gender, and race. The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a nationally representative sample of U.S. adolescents in grades 7-12 at baseline in 1994-1995. Add Health has a large and racially diverse sample and records family deaths across the entire life course starting from birth. Participants were included in this analysis if they reported their educational attainment in Wave IV (N = 14,796). The racial group with the lowest proportion experiencing a sibling or parent death in the first 23 years of their lives was white participants (11.7%), followed by Asian (12.5%), Hispanic (15.0%), Black (24.3%) and Native American participants (30.3%). In adjusted models, those who experienced a family death had 0.60 times the odds (95% CI 0.51-0.71) of achieving a bachelor's degree compared to those without a family death. Mother deaths, father deaths, and sibling deaths were each harmful for obtaining a college degree and their effects were similar in magnitude. The age range when the effect of a family death was strongest was 10-13 years old (OR = 0.52 95% CI 0.40-0.67). The effect of a family death on college degree attainment did not vary by baseline parent education, participant sex, or race/ethnicity.

Economic Hardship and Violence: A Comparison of County-Level Economic Measures in the Prediction of Violence-Related Injury

Economic hardship may lead to a wide range of negative outcomes, including violence. However, existing literature on economic hardship and violence is limited by reliance on official reports of violence and conflation of different measures of economic hardship. The goals of this study are to measure how violence-related injuries are associated with five measures of county-level economic shocks: unemployment rate, male mass layoffs, female mass layoffs, foreclosure rate, and unemployment rate change, measured cross-sectionally and by a 1-year lag. This study measures three subtypes of violence outcomes (child abuse, elder abuse, and intimate partner violence). Yearly county-level data were obtained on violence-related injuries and economic measures from 2005 to 2012 for all 87 counties in Minnesota. Negative binomial models were run regressing the case counts of each violence outcome at the county-year level on each economic indicator modeled individually, with population denominator offsets to yield incidence rate ratios. Crude models were run first, then county-level socio-demographic variables and year were added to each model, and finally fully-adjusted models were run including all socio-demographic variables plus all economic indicators simultaneously. In the fully-adjusted models, a county's higher foreclosure rate is the strongest and most consistently associated with an increase in all violence subtypes. Unemployment rate is the second strongest and most consistent economic risk factor for all violence subtypes. Lastly, there appears to be an impact of gender specific to economic impacts on child abuse; specifically, male mass-lay-offs were associated with increased rates while female mass-lay-offs were associated with decreased rates. Understanding the associations of different types of economic hardship with a range of violence outcomes can aid in developing more holistic prevention and intervention efforts.

Estimating the Long-Term Causal Effects of Attending Historically Black Colleges or Universities on Depressive Symptoms

Racism is embedded in society, and higher education is an important structure for patterning economic and health outcomes. Historically Black Colleges and Universities (HBCUs) were founded on antiracism while predominantly White institutions (PWIs) were often founded on white supremacy. This contrast provides an opportunity to study the association between structural racism and health among Black Americans. We used the National Longitudinal Study of Adolescent to Adult Health (Add Health) to estimate the long-term causal effect of attending an HBCU (vs. PWI) on depressive symptoms among Black students in the United States from 1994-2018. While we found no overall association with attending an HBCU (vs. PWI) on depressive symptoms, we found that this association varied by baseline mental health and region, and across time. For example, among those who attended high school outside of the South, HBCU attendance was protective against depressive symptoms 7 years later, and the association was strongest for those with higher baseline depressive symptoms. We recommend equitable state and federal funding for HBCUs, and that PWIs implement and evaluate antiracist policies to improve mental health of Black students.

Violence in the Great Recession

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

Do Alcohol Outlets Mediate the Effects of the Moving to Opportunity Experiment on Adolescent Excessive Drinking? A Secondary Analysis of a Randomized Controlled Trial

Background: Housing mobility impacts adolescent alcohol use, and the neighborhood built environment may impact this relationship. Methods: Moving to Opportunity (MTO) was a multi-site, three-arm, household-level experiment. MTO randomly assigned one of three treatment arms (1994-1997) allowing families living in public housing to (1) receive a voucher to be redeemed any neighborhood (2) receive a voucher to be redeemed in a neighborhood with less than 10% poverty (3) remain in public housing (control). MTO decreased girls' alcohol use, but increased boys' alcohol use. Treatment groups were pooled because they are similar conceptually and statistically on our primary outcome. Among youth aged 12-19 in 2001-2002 (N = 2829), we estimated controlled direct effects mediation of MTO treatment effects on youth with housing vouchers (N = 1950) vs. controls (N = 879) on past 30-day number of drinks per day on days drank, using gender-stratified Poisson regression. Mediators were density of on- and off-premises alcohol outlets per square mile at the families' census tract of residence in 1997. Results: Treatment group youth were randomized to live in 1997 census tracts with lower off-premises, but higher on-premises, outlet density. MTO treatment (vs. controls) decreased drinking for girls via alcohol outlet density, but only at higher levels of outlet density. Treatment was 18% more beneficial when girls moved to high density neighborhoods, compared to controls who stayed living in public housing in high density neighborhoods. Conclusion: Additional social processes unmeasured in the current study may play an important role in the alcohol use and other health risks for girls.

The Validity and Reliability of Retrospective Measures of Childhood Socioeconomic Status in the Health and Retirement Study: Evidence From the 1940 U.S. Census

OBJECTIVES

Retrospective measures of childhood socioeconomic status (SES) in cohort studies of aging that first observe people late in life-such as the Health and Retirement Study (HRS)-are widely used. However, their measurement validity and reliability are unknown. We assess the reliability and validity of the HRS's retrospective measures of parental education and childhood family finances.

METHODS

We use records for 6,343 HRS sample members who were children in 1940 that have been linked to records from the complete-count 1940 U.S. Census. We assess interrater reliability by comparing (a) retrospective reports of childhood SES collected from sample members in the 1992-2018 HRS to (b) prospective measures of parallel concepts collected from HRS sample members' parents in the 1940 Census. We assess predictive validity by comparing the results of analyses that model later-life outcomes as a function of childhood SES as measured both prospectively and retrospectively.

RESULTS

Interrater reliabilities of retrospective measures of parental education are high; however, the same is not true of the retrospective measure of childhood family finances. Both retrospective and prospective measures of childhood SES are predictive of later-life outcomes, and with similar strengths and directions of associations for most outcomes.

DISCUSSION

Researchers who rely on retrospective indicators of childhood SES from the HRS should be aware of their measurement properties. They are measured with error, and that error modestly attenuates estimates of their associations with later-life outcomes. However, prospective and retrospective measures of childhood SES have similar predictive validity. These findings should reassure researchers who rely on retrospective measures of childhood SES in the HRS and similarly designed surveys.

Housing mobility protects against alcohol use for children with socioemotional health vulnerabilities: An experimental design

PURPOSE

Neighborhood context may influence alcohol use, but effects may be heterogeneous, and prior evidence is threatened by confounding. We leveraged a housing voucher experiment to test whether housing vouchers' effects on alcohol use differed for families of children with and without socioemotional health or socioeconomic vulnerabilities.

TRIAL DESIGN

In the Moving to Opportunity (MTO) study, low-income families in public housing in five US cities were randomized in 1994 to 1998 to receive one of three treatments: (1) a housing voucher redeemable in a low-poverty neighborhood plus housing counseling, (2) a housing voucher without locational restriction, or (3) no voucher (control). Alcohol use was assessed 10 to 15 years later (2008 to 2010) in youth ages 13 to 20, N = 4600, and their mothers, N = 3200.

METHODS

Using intention-to-treat covariate-adjusted regression models, we interacted MTO treatment with baseline socioemotional health vulnerabilities, testing modifiers of treatment on alcohol use.

RESULTS

We found treatment effect modification by socioemotional factors. For youth, MTO voucher treatment, compared with controls, reduced the odds of ever drinking alcohol if youth had behavior problems (OR = 0.26, 95% CI [0.09, 0.72]) or problems at school (OR = 0.46, [0.26, 0.82]). MTO low-poverty treatment (vs. controls) also reduced the number of drinks if their health required special medicine/equipment (OR = 0.50 [0.32, 0.80]). Yet treatment effects were nonsignificant among youth without socioemotional vulnerabilities. Among mothers of children with learning problems, MTO voucher treatment (vs. controls) reduced past-month drinking (OR = 0.69 [0.47, 0.99]), but was harmful otherwise (OR = 1.22 [0.99, 1.45]).

CONCLUSIONS

For low-income adolescents with special needs/socioemotional problems, housing vouchers protect against alcohol use.

Effects of Housing Vouchers on the Long-Term Exposure to Neighborhood Opportunity among Low-Income Families: The Moving to Opportunity Experiment

Tenant-based rental assistance has received much attention as a tool to ameliorate American poverty and income segregation. We examined whether a tenant-based voucher program improves long-term exposure to neighborhood opportunity overall and across multiple domains-social/economic, educational, and health/environmental-among low-income families with children. We used data from the Moving to Opportunity (MTO) experiment (1994-2010) with a 10- to 15-year follow-up period and used an innovative and multidimensional measure of neighborhood opportunities for children. Compared with controls in public housing, MTO voucher recipients experienced improvement in neighborhood opportunity overall and across domains during the entire study period, with a larger treatment effect for families in the MTO voucher group who received supplementary housing counseling, than the Section 8 voucher group. Our results also suggests that effects of housing vouchers on neighborhood opportunity may not be uniform across subgroups. Results from model-based recursive partitioning for neighborhood opportunity identified several potential effect modifiers for housing vouchers, including study sites, health and developmental problems of household members, and having vehicle access.

Health disparities among millennial veterans by sexual orientation

The objective of this study was to examine sexual orientation-based disparities in six self-reported health outcomes among millennial aged military veterans. We collected data using The Millennial Veteran Health Study, a cross-sectional internet-based survey with extensive quality control measures. The survey was fielded April through December 2020 and targeted millennial aged veterans across the United States. A total of 680 eligible respondents completed the survey. We assessed six binary health outcomes: alcohol use, marijuana use, frequent chronic pain, opioid misuse, high psychological distress, and fair or poor health status. Using logistic regression adjusted for a range of demographic, socioeconomic, and military-based covariates, we find that bisexual veterans consistently report worse health than straight veterans for all six health outcomes tested. Results for gay or lesbian, compared to straight veterans, were less consistent. Sensitivity models with continuous outcomes, and stratified by gender, found similar results. These results have implications for improving the health of bisexual individuals, including addressing discrimination, belonging, and social identity, particularly in institutional settings that have traditionally heteronormative and masculine cultures such as the military.

Connecting past to present: Examining different approaches to linking historical redlining to present day health inequities

In the 1930’s, the Home Owner Loan Corporation (HOLC) drafted maps to quantify variation in real estate credit risk across US city neighborhoods. The letter grades and associated risk ratings assigned to neighborhoods discriminated against those with black, lower class, or immigrant residents and benefitted affluent white neighborhoods. An emerging literature has begun linking current individual and community health effects to government redlining, but each study faces the same measurement problem: HOLC graded area boundaries and neighborhood boundaries in present-day health datasets do not match. Previous studies have taken different approaches to classify present day neighborhoods (census tracts) in terms of historical HOLC grades. This study reviews these approaches, examines empirically how different classifications fare in terms of predictive validity, and derives a predictively optimal present-day neighborhood redlining classification for neighborhood and health research.

Measuring the Effect of Neighborhood Racial Segregation on Fetal Growth

Prior studies of neighborhood racial segregation and intrauterine growth have not accounted for confounding factors in early life. We used the Life-Course Influences on Fetal Environment Study of births to Black women in metropolitan Detroit, 2009-2011, (N = 1,408) to examine whether health and social conditions in childhood and adulthood confound or modify the association of neighborhood segregation (addresses during pregnancy geocoded to census tract racial composition) and gestational age-adjusted birthweight. Before adjusting for covariates, women living in a predominantly (≥75%) Black neighborhood gave birth to 47.3 grams (95% CI: -99.0, 4.4) lighter infants, on average, compared with women living in <75% Black neighborhoods. This association was confounded by adulthood (age at delivery, parity, neighborhood deprivation) and childhood (parental education, neighborhood racial composition) factors and modified by adulthood socioeconomic position. These findings underscore the complex relationship between neighborhood racial segregation and birth outcomes, which would be enhanced through a life course framework.

Social norms and the association between intimate partner violence and depression in rural Bangladesh-a multilevel analysis

BACKGROUND

Intimate partner violence (IPV) is highly prevalent globally and associated with adverse mental health outcomes among women. In IPV-endemic contexts like Bangladesh, previous research has found no association between low levels of IPV and depression. Although IPV and attitudes justifying IPV against women are highly prevalent in this context, nothing is known about how related contextual norms affect associations between individual-level IPV exposure and depression. The present study examines if village-level IPV norms, characterized using village-level (Level 2) prevalence of a) IPV-justifying attitudes (injunctive norms) and b) physical IPV (descriptive norms), modifies the individual-level (Level 1) associations between the severity of recent IPV and major depressive episode (MDE) among women in rural Bangladesh.

METHODS

Data were drawn from a nationally-representative sample consisting of 3290 women from 77 villages. Multilevel models tested cross-level interactions between village-level IPV norms and recently experienced individual-level IPV on the association with past 30-day MDE.

RESULTS

The prevalence of IPV was 44.4% (range: 9.6-76.2% across villages) and attitudes justifying IPV ranged from 1.6% to 49.8% across villages. The prevalence of MDE was 16.8%. The risk of MDE at low levels of IPV severity (versus none) was greater in villages with the least tolerant attitudes toward IPV compared to villages where IPV was more normative, e.g., interaction RR = 1.42 (95% CI: 0.64, 3.15) for low physical IPV frequency and injunctive norms.

CONCLUSIONS

The association between IPV and depression may be modified by contextual-level IPV norms, whereby it is exacerbated in low-normative contexts.

Measuring the hidden burden of violence: use of explicit and proxy codes in Minnesota injury hospitalizations, 2004-2014

PURPOSE

Commonly-used violence surveillance systems are biased towards certain populations due to overreporting or over-scrutinized. Hospital discharge data may offer a more representative view of violence, through use of proxy codes, i.e. diagnosis of injuries correlated with violence. The goals of this paper are to compare the trends in violence in Minnesota, and associations of county-level demographic characteristics with violence rates, measured through explicitly diagnosed violence and proxy codes. It is an exploration of how certain sub-populations are overrepresented in traditional surveillance systems.

METHODS

Using Minnesota hospital discharge data linked with census data from 2004 to 2014, this study examined the distribution and time trends of explicit, proxy, and combined (proxy and explicit) codes for child abuse, intimate partner violence (IPV), and elder abuse. The associations between county-level risk factors (e.g., poverty) and county violence rates were estimated using negative binomial regression models with generalized estimation equations to account for clustering over time.

RESULTS

The main finding was that the patterns of county-level violence differed depending on whether one used explicit or proxy codes. In particular, explicit codes suggested that child abuse and IPV trends were flat or decreased slightly from 2004 to 2014, while proxy codes suggested the opposite. Elder abuse increased during this timeframe for both explicit and proxy codes, but more dramatically when using proxy codes. In regard to the associations between county level characteristics and each violence subtype, previously identified county-level risk factors were more strongly related to explicitly-identified violence than to proxy-identified violence. Given the larger number of proxy-identified cases as compared with explicit-identified violence cases, the trends and associations of combined codes align more closely with proxy codes, especially for elder abuse and IPV.

CONCLUSIONS

Violence surveillance utilizing hospital discharge data, and particularly proxy codes, may add important information that traditional surveillance misses. Most importantly, explicit and proxy codes indicate different associations with county sociodemographic characteristics. Future research should examine hospital discharge data for violence identification to validate proxy codes that can be utilized to help to identify the hidden burden of violence.

Neighborhood Socioeconomic Status and Identification of Patients With CKD Using Electronic Health Records

RATIONALE & OBJECTIVE

Screening for chronic kidney disease (CKD) is recommended for patients with diabetes and hypertension as stated by the respective professional societies. However, CKD, a silent disease usually detected at later stages, is associated with low socioeconomic status (SES). We assessed whether adding census tract SES status to the standard screening approach improves our ability to identify patients with CKD.

STUDY DESIGN

Screening test analysis.

SETTINGS & PARTICIPANTS

Electronic health records (EHR) of 256,162 patients seen at a health care system in the 7-county Minneapolis/St. Paul area and linked census tract data.

EXPOSURE

The first quartile of census tract SES (median value of owner-occupied housing units <$165,200; average household income <$35,935; percentage of residents >25 years of age with a bachelor's degree or higher <20.4%), hypertension, and diabetes.

OUTCOMES

CKD (eGFR <60 mL/min/1.73 m², or urinary albumin-creatinine ratio >30mg/g, or urinary protein-creatinine ratio >150mg/g, or urinary analysis [albuminuria] >30 mg/d).

ANALYTICAL APPROACH

Sensitivity, specificity, and number needed to screen (NNS) to detect CKD if we screened patients who had hypertension and/or diabetes and/or who lived in low-SES tracts (belonging to the first quartile of any of the 3 measures of tract SES) versus the standard approach.

RESULTS

CKD was prevalent in 13% of our cohort. Sensitivity, specificity, and NNS of detecting CKD after adding tract SES to the screening approach were 67% (95% CI, 66.2%-67.2%), 61% (95% CI, 61.1%-61.5%), and 5, respectively. With the standard approach, sensitivity of detecting CKD was 60% (95% CI, 59.4%-60.4%), specificity was 73% (95% CI, 72.4%-72.7%), and NNS was 4.

LIMITATIONS

One health care system and selection bias.

CONCLUSIONS

Leveraging patients' addresses from the EHR and adding tract-level SES to the standard screening approach modestly increases the sensitivity of detecting patients with CKD at a cost of decreased specificity. Identifying further factors that improve CKD detection at an early stage are needed to slow the progression of CKD and prevent cardiovascular complications.

Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System

RATIONAL & OBJECTIVE

Neighborhood socioeconomic status (SES) and health insurance status may be important upstream social determinants of chronic kidney disease (CKD), but their relationship remains unclear. The aim of this study was to determine whether neighborhood SES and individual-level health insurance status were independently associated with CKD prevalence.

STUDY DESIGN

Observational study using electronic health records (EHRs).

SETTING & PARTICIPANTS

EHRs of patients (n = 185,269) seen at a health care system in the 7-county Minneapolis/St Paul area (2017-2018).

EXPOSURES

Census tract neighborhood SES measures (median value of owner-occupied housing units [wealth], percentage of residents aged >25 years with bachelor's degree or higher [education]) and individual-level health insurance status (aged <65 years: Medicaid vs other insurance; ≥65 years: Medicare vs Medicare and supplemental insurance plan) were obtained from the American Community Survey and EHR data. Neighborhood SES was operationalized into quartiles, comparing low (first quartile) versus high (fourth quartile) neighborhood SES.

OUTCOMES

CKD prevalence: estimated glomerular filtration rate < 60 mL/min/1.73 m2 or proteinuria.

ANALYTIC APPROACH

Multilevel Poisson regression with robust error variance with a random intercept at the census-tract level, adjusted for demographic and clinical covariates, was used to estimate the association between neighborhood SES, insurance, and CKD.

RESULTS

Neighborhood SES and insurance were independently associated with CKD prevalence. In covariate-adjusted models, patients living in low versus high neighborhood SES had a higher CKD prevalence among both younger and older patients. For example, the prevalence ratios of CKD in low versus high neighborhood SES as defined by education among patients younger than 65 and 65 years and older were 1.11 (95% CI, 1.05-1.18) and 1.08 (95% CI, 1.04-1.12), respectively. Patients younger than 65 years receiving Medicaid had higher CKD prevalence versus those with other insurance (1.51 [95% CI, 1.43-1.6]). For patients 65 years and older, insurance was not associated with prevalence of CKD in the fully adjusted model.

LIMITATIONS

One health care system and selection bias.

CONCLUSIONS

Living in low neighborhood SES as defined by wealth and education and having Medicaid for patients younger than 65 years were associated with higher CKD prevalence.

Does the Temporal Pattern of Moving to a Higher-Quality Neighborhood Across a 5-Year Period Predict Psychological Distress Among Adolescents? Results From a Federal Housing Experiment

Using data from the Moving to Opportunity (MTO) experiment (1994-2002), this study examined how a multidimensional measure of neighborhood quality over time influenced adolescent psychological distress, using instrumental variable (IV) analysis. Neighborhood quality was operationalized with the independently validated 19-indicator Child Opportunity Index (COI), linked to MTO family addresses over 4-7 years. We examined whether being randomized to receive a housing subsidy (versus remaining in public housing) predicted neighborhood quality across time. Using IV analysis, we tested whether experimentally induced differences in COI across time predicted psychological distress on the Kessler Screening Scale for Psychological Distress (n = 2,829; mean β = -0.04 points (standard deviation, 1.12)). The MTO voucher treatment improved neighborhood quality for children as compared with in-place controls. A 1-standard-deviation change in COI since baseline predicted a 0.32-point lower psychological distress score for girls (β = -0.32, 95% confidence interval: -0.61, -0.03). Results were comparable but less precisely estimated when neighborhood quality was operationalized as simply average post-random-assignment COI (β = -0.36, 95% confidence interval: -0.74, 0.02). Effect estimates based on a COI excluding poverty and on the most recent COI measure were slightly larger than other operationalizations of neighborhood quality. Improving a multidimensional measure of neighborhood quality led to reductions in low-income girls' psychological distress, and this was estimated with high internal validity using IV methods.

Intimate partner violence and social connection among married women in rural Bangladesh

BACKGROUND

Intimate partner violence (IPV) is high among married women in Bangladesh. Social isolation is a well-established correlate of women's exposure to IPV, but the role of such factors in low-income and middle-income countries is not well understood. In this study, we explore whether social connection is protective against IPV among married women in rural Bangladesh.

METHODS

Data were drawn from a multistage, stratified, population-based longitudinal sample of 3355 married women in rural Bangladesh, who were surveyed on individual and contextual risk factors of IPV. Negative binomial regression models were used to estimate the association between three different domains of social connection (natal family contact, female companionship and instrumental social support), measured at baseline in 2013, and the risk of three different forms of IPV (psychological, physical and sexual), approximately 10 months later, adjusted for woman's level of education, spouse's level of education, level of household wealth, age and age of marriage.

RESULTS

Adjusted models showed that instrumental social support was associated with a lower risk of past year psychological IPV (risk ratio (RR)=0.84, 95% CI 0.769 to 0.914), sexual IPV (RR=0.90, 95% CI 0.822 to 0.997) and physical IPV (RR=0.81, 95% CI 0.718 to 0.937). Natal family contact was also associated with a lower risk of each type of IPV, but not in a graded fashion. Less consistent associations were observed with female companionship.

CONCLUSION

Our findings suggest that social connection, particularly in the form of instrumental support, may protect married women in rural Bangladesh from experiencing IPV.

Neighborhood Socioeconomic Status and Quality of Kidney Care: Data From Electronic Health Records

Rational & Objective

Electronic health records can be leveraged to assess quality-of-care measures in patients with chronic kidney disease (CKD). Neighborhood socioeconomic status could be a potential barrier to receiving appropriate evidence-based therapy and follow-up. We examined whether neighborhood socioeconomic status is independently associated with quality of care received by patients with CKD.

Study Design

Observational study using electronic health record data.

Setting & Participants

Retrospective study of patients seen at a health care system in the 7-county Minneapolis/St Paul area.

Exposures

Census tract socioeconomic status measures (wealth, income, and education).

Outcomes

Indicators of CKD quality of care: (1) prescription for angiotensin-converting enzyme inhibitor/angiotensin receptor blocker in patients with stage ≥ 3 CKD or stage 1 or 2 CKD with urinary albumin-creatinine ratio (UACR) > 300 mg/d, (2) UACR measurement among patients with laboratory-based CKD (estimated glomerular filtration rate < 60 mL/min/1.72 m²), and (3) CKD identified on the problem list or coded for at an encounter among patients with laboratory-based CKD.

Analytic Approach

Multilevel Poisson regression with robust error variance with a random intercept at the census tract level.

Results

Of the 16,776 patients who should be receiving an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, 65% were prescribed these medications. Among patients with laboratory-based CKD (n = 25,097), UACR was measured in 27% and CKD was identified in the electronic health record in 55%. We found no independent association between any neighborhood socioeconomic status measures and CKD quality-of-care indicators.

Limitations

1 health care system and selection bias.

Conclusions

We found no association of neighborhood socioeconomic status with quality of CKD care in our cohort. However, adherence to CKD guidelines is low, indicating an opportunity to improve care for all patients regardless of neighborhood socioeconomic status.

Do peer social relationships mediate the harmful effects of a housing mobility experiment on boys' risky behaviors?

PURPOSE

The purpose of this study was to understand why a housing mobility experiment caused harmful effects on adolescent boys' risky behaviors.

METHODS

Moving to Opportunity (MTO) (1994-2010) randomly assigned volunteer families to a treatment group receiving a Section 8 rental voucher or a public housing control group. Our outcome was a global risky behavior index (RBI; measured in 2002, n = 750 boys) measuring the fraction of 10 items the youth engaged in, 6 measuring past 30-day substance use and 4 measuring recent risky sexual behavior. Potential mediators (measured in 2002) included peer social relationships (e.g., peer drug use, peer gang membership).

RESULTS

The voucher treatment main effect on boys' RBI was harmful (B (SE) = 0.05 (0.02), 95% CI 0.01, 0.08), and treatment marginally increased having friends who used drugs compared to controls (B (SE) = 0.67 (0.23), 95% CI 0.22, 1.12). Having friends who used drugs marginally mediated the MTO treatment effect on RBI (indirect effect: B (SE) = 0.02(.01), 95% CI -0.002, 0.04), reducing the total treatment effect by 39%.

CONCLUSIONS

Incorporating additional supports into housing voucher programs may help support teenage boys who experience disruptions to their social networks, to buffer potential adverse consequences of residential mobility.

Do changes in neighborhood social context mediate the effects of the moving to opportunity experiment on adolescent mental health?

This study investigated whether changes in neighborhood context induced by neighborhood relocation mediated the impact of the Moving to Opportunity (MTO) housing voucher experiment on adolescent mental health. Mediators included participant-reported neighborhood safety, social control, disorder, and externally-collected neighborhood collective efficacy. For treatment group members, improvement in neighborhood disorder and drug activity partially explained MTO's beneficial effects on girls' distress. Improvement in neighborhood disorder, violent victimization, and informal social control helped counteract MTO's adverse effects on boys' behavioral problems, but not distress. Housing mobility policy targeting neighborhood improvements may improve mental health for adolescent girls, and mitigate harmful effects for boys.

The unequal distribution of sibling and parent deaths by race and its effect on attaining a college degree

PURPOSE

Examine (1) the distribution of experiencing the death of a parent or sibling (family death) by race/ethnicity and (2) how a family death affects attaining a college degree.

METHODS

Participants (n = 8984) were from National Longitudinal Survey of Youth 1997 aged 13-17 at baseline in 1997 and 29-32 in 2013. We examined the prevalence of family deaths by age group and race/ethnicity and used covariate-adjusted logistic regression to assess the relationship between a family death and college degree attainment.

RESULTS

A total of 4.2% of white youth experienced a family death, as did 5.0% of Hispanics, 8.3% of Blacks, 9.1% of Asians, and 13.8% of American Indians (group test P < .001). A family death from ages 13-22 was associated with lower odds of obtaining a bachelor's degree by ages 29-32 (OR = 0.65, 95% CI = 0.50, 0.84), compared with no family death. The effect of a death was largest during college years (age 19-22) (OR = 0.57, 95% CI = 0.39, 0.82).

CONCLUSIONS

Young people of color are more likely to have a sibling or parent die; and family death during college years is associated with reduced odds of obtaining a college degree. Racial disparities in mortality might affect social determinants of health of surviving relatives, and college policies are a potential intervention point.

Sociodemographic Disparities in Long-Term Mortality Among Stroke Survivors in the United States

Background and Purpose- It is unclear whether disparities in mortality among stroke survivors exist long term. Therefore, the purpose of the current study is to describe rates of longer term mortality among stroke survivors (ie, beyond 30 days) and to determine whether socioeconomic disparities exist. Methods- This analysis included 1329 black and white participants, aged ≥45 years, enrolled between 2003 and 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) who suffered a first stroke and survived at least 30 days after the event. Long-term mortality among stroke survivors was defined in person-years as time from 30 days after a first stroke to date of death or censoring. Mortality rate ratios (MRRs) were used to compare rates of poststroke mortality by demographic and socioeconomic characteristics. Results- Among adults who survived ≥30 days poststroke, the age-adjusted rate of mortality was 82.3 per 1000 person-years (95% CI, 75.4-89.2). Long-term mortality among stroke survivors was higher in older individuals (MRR for 75+ versus <65, 3.2; 95% CI, 2.6-4.1) and among men than women (MRR, 1.3; 95% CI, 1.1-1.6). It was also higher among those with less educational attainment (MRR for less than high-school versus college graduate, 1.5; 95% CI, 1.1-1.9), lower income (MRR for <$20k versus >50k, 1.4; 95% CI, 1.1-1.9), and lower neighborhood socioeconomic status (SES; MRR for low versus high neighborhood SES, 1.4; 95% CI, 1.1-1.7). There were no differences in age-adjusted rates of long-term poststroke mortality by race, rurality, or US region. Conclusions- Rates of long-term mortality among stroke survivors were higher among individuals with lower SES and among those residing in neighborhoods of lower SES. These results emphasize the need for improvements in long-term care poststroke, especially among individuals of lower SES.

Long-term neighborhood ethnic composition and weight-related outcomes among immigrants: The Multi-Ethnic Study of Atherosclerosis

Weight among immigrants in the United States (US) is lower than among the US-born on average, but higher among long-term immigrants than the newly arrived. Neighborhood coethnic concentration-the proportion of neighborhood residents of the same ethnic background-may influence weight among immigrants via behavioral norms and market-driven community resources. However, the relevant exposure timeframe may be far longer than is captured by existing cross-sectional and short-term studies. Using detailed historical residential address information on 1449 older Latino and Chinese long-term immigrants, we investigated associations of 10-20-year neighborhood coethnic concentration trajectories with current waist circumference and weight-related behaviors (diet, physical activity, and sedentary time). Among Chinese participants, compared to persistent low coethnic concentration, increasing coethnic concentration was associated with higher waist circumference (difference = 1.45 cm [0.51, 2.39]). In contrast, both increasing coethnic concentration and persistent high coethnic concentration were associated with a healthier diet. Among Latino participants, trajectories characterized by higher coethnic concentration were associated with higher waist circumference (e.g., difference = 2.11 cm [0.31, 3.91] for persistent high vs. persistent low) and low physical activity. Long-term patterns of neighborhood coethnic concentration may affect weight-related outcomes among immigrants in complex ways that differ by ethnicity and outcome.

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

Using birth certificate data for nearly all registered US births from 1976 to 2016 and monthly data on state unemployment rates, we reexamined the link between macroeconomic variation and birth outcomes. We hypothesized that economic downturns reduce exposure to work-related stressors and pollution while increasing exposure to socioeconomic stressors like job loss. Because of preexisting inequalities in health and other resources, we expected that less-educated mothers and black mothers would be more exposed to macroeconomic variation. Using fixed-effect regression models, we found that a 1-percentage-point increase in state unemployment during the first trimester of pregnancy increased the probability of preterm birth by 0.1 percentage points, while increases in the state unemployment rate during the second/third trimester reduced the probability of preterm birth by 0.06 percentage points. During the period encompassing the Great Recession, the magnitude of these associations doubled in size. We found substantial variation in the impact of economic conditions across different groups, with highly educated white women least affected and less-educated black women most affected. The results highlight the increased relevance of economic conditions for birth outcomes and population health as well as continuing, large inequities in the exposure and impact of macroeconomic fluctuations on birth outcomes.

The price of admission: does moving to a low-poverty neighborhood increase discriminatory experiences and influence mental health?

PURPOSE

The Moving to Opportunity (MTO) study is typically interpreted as a trial of changes in neighborhood poverty. However, the program may have also increased exposure to housing discrimination. Few prior studies have tested whether interpersonal and institutional forms of discrimination may have offsetting effects on mental health, particularly using intervention designs.

METHODS

We evaluated the effects of MTO, which randomized public housing residents in 5 cities to rental vouchers, or to in-place controls (N = 4248, 1997-2002), which generated variation on neighborhood poverty (% of residents in poverty) and encounters with housing discrimination. Using instrumental variable analysis (IV), we derived two-stage least squares IV estimates of effects of neighborhood poverty and housing discrimination on adult psychological distress and major depressive disorder (MDD).

RESULTS

Randomization to voucher group vs. control simultaneously decreased neighborhood % poverty and increased exposure to housing discrimination. Higher neighborhood % poverty was associated with increased psychological distress [B_IV = 0.36, 95% confidence interval (CI) 0.03, 0.69] and MDD (B_IV = 0.12, 95% CI - 0.005, 0.25). Effects of housing discrimination on mental health were harmful, but imprecise (distress B_IV = 1.58, 95% CI - 0.83, 3.99; MDD B_IV = 0.57, 95% CI - 0.43, 1.56). Because neighborhood poverty and housing discrimination had offsetting effects, omitting either mechanism from the IV model substantially biased the estimated effect of the other towards the null.

CONCLUSIONS

Neighborhood poverty mediated MTO treatment on adult mental health, suggesting that greater neighborhood poverty contributes to mental health problems. Yet housing discrimination-mental health findings were inconclusive. Effects of neighborhood poverty on health may be underestimated when failing to account for discrimination.

Effects of a federal housing voucher experiment on adolescent binge drinking: a secondary analysis of a randomized controlled trial

AIMS

To test how a housing voucher generating residential mobility to lower-poverty neighborhoods, compared with public housing controls, influenced adolescent binge drinking, and whether gender modified effects.

DESIGN

A multi-site household-level three-arm randomized trial of a housing intervention executed 1994-98, evaluated 2001-02.

SETTING

Five US cities: Baltimore, MD; Boston, MA; Chicago, IL; Los Angeles, CA; and New York, NY.

PARTICIPANTS

A total of 3537 adolescents in 4248 low-income eligible families were randomized; 2829 adolescents were analyzed at the interim evaluation (1950 in treatment; 879 in the control group). Attrition bias was accounted for with a 3-in-10 oversampling of hard-to-reach participants (effective response rate: 89%).

INTERVENTIONS

The Moving to Opportunity (MTO) trial randomized volunteer low-income families in public housing to receive (1) rental subsidies redeemable in neighborhoods with < 10% tract poverty plus housing counseling, (2) unrestricted Section 8 rental subsidies or (3) to remain in public housing. We pooled the subsidy ('treatment') groups because they were conceptually similar and there was no evidence of statistical differences between groups on binge drinking.

MEASUREMENTS

Primary outcome: past month binge drinking (five or more drinks in one sitting).

FINDINGS

Adolescent binge drinking prevalence was 3.9% for treatment and 3.2% for control. The intention-to-treat (ITT) main effect of subsidy treatment (versus control) on binge drinking was non-significant, but treatment effects were different for girls and boys (treatment-gender interaction P = 0.002). MTO treatment reduced girls' binge drinking [odds ratio (OR) = 0.48, 95% confidence interval (CI) = 0.24-0.96, P = 0.037], but increased boys' binge drinking (OR = 2.37, 95% CI = 1.13-4.97, P = 0.023), compared with controls. Results were similar for secondary alcohol outcomes. Instrumental variable (IV) results adjusting for treatment compliance were comparable with ITT, but larger.

CONCLUSIONS

A housing subsidy treatment that enables low-income families to move from public to private housing appears to lessen girls' binge drinking but increases boys' binge drinking, compared with controls.

Does socioeconomic status account for racial and ethnic disparities in childhood cancer survival?

BACKGROUND

For many childhood cancers, survival is lower among non-Hispanic blacks and Hispanics in comparison with non-Hispanic whites, and this may be attributed to underlying socioeconomic factors. However, prior childhood cancer survival studies have not formally tested for mediation by socioeconomic status (SES). This study applied mediation methods to quantify the role of SES in racial/ethnic differences in childhood cancer survival.

METHODS

This study used population-based cancer survival data from the Surveillance, Epidemiology, and End Results 18 database for black, white, and Hispanic children who had been diagnosed at the ages of 0 to 19 years in 2000-2011 (n = 31,866). Black-white and Hispanic-white mortality hazard ratios and 95% confidence intervals, adjusted for age, sex, and stage at diagnosis, were estimated. The inverse odds weighting method was used to test for mediation by SES, which was measured with a validated census-tract composite index.

RESULTS

Whites had a significant survival advantage over blacks and Hispanics for several childhood cancers. SES significantly mediated the race/ethnicity-survival association for acute lymphoblastic leukemia, acute myeloid leukemia, neuroblastoma, and non-Hodgkin lymphoma; SES reduced the original association between race/ethnicity and survival by 44%, 28%, 49%, and 34%, respectively, for blacks versus whites and by 31%, 73%, 48%, and 28%, respectively, for Hispanics versus whites ((log hazard ratio total effect - log hazard ratio direct effect)/log hazard ratio total effect).

CONCLUSIONS

SES significantly mediates racial/ethnic childhood cancer survival disparities for several cancers. However, the proportion of the total race/ethnicity-survival association explained by SES varies between black-white and Hispanic-white comparisons for some cancers, and this suggests that mediation by other factors differs across groups.

Mediation of Neighborhood Effects on Adolescent Substance Use by the School and Peer Environments

BACKGROUND

Evidence suggests that aspects of the neighborhood environment may influence risk of problematic drug use among adolescents. Our objective was to examine mediating roles of aspects of the school and peer environments on the effect of receiving a Section 8 housing voucher and using it to move out of public housing on adolescent substance use outcomes.

METHODS

We used data from the Moving to Opportunity (MTO) experiment that randomized receipt of a Section 8 housing voucher. Hypothesized mediators included school climate, safety, peer drug use, and participation in an after-school sport or club. We applied a doubly robust, semiparametric estimator to longitudinal MTO data to estimate stochastic direct and indirect effects of randomization on cigarette use, marijuana use, and problematic drug use. Stochastic direct and indirect effects differ from natural direct and indirect effects in that they do not require assuming no posttreatment confounder of the mediator-outcome relationship. Such an assumption would be at odds with any causal model that reflects an intervention affecting a mediator and outcome through adherence to treatment assignment.

RESULTS

Having friends who use drugs and involvement in after-school sports or clubs partially mediated the effect of housing voucher receipt on adolescent substance use (e.g., stochastic indirect effect 0.45% [95% confidence interval: 0.12%, 0.79%] for having friends who use drugs and 0.04% [95% confidence interval: -0.02%, 0.10%] for involvement in after-school sports or clubs mediating the relationship between housing voucher receipt and marijuana use among boys). However, these mediating effects were small, contributing only fractions of a percent to the effect of voucher receipt on probability of substance use. No school environment variables were mediators.

CONCLUSIONS

Measured school- and peer-environment variables played little role in mediating the effect of housing voucher receipt on subsequent adolescent substance use.

Socioeconomic Status and Childhood Cancer Incidence: A Population-Based Multilevel Analysis

The etiology of childhood cancers remains largely unknown, especially regarding environmental and behavioral risk factors. Unpacking the association between socioeconomic status (SES) and incidence may offer insight into such etiology. We tested associations between SES and childhood cancer incidence in a population-based case-cohort study (source cohort: Minnesota birth registry, 1989-2014). Cases, ages 0-14 years, were linked from the Minnesota Cancer Surveillance System to birth records through probabilistic record linkage. Controls were 4:1 frequency matched on birth year (2,947 cases and 11,907 controls). We tested associations of individual-level (maternal education) and neighborhood-level (census tract composite index) SES using logistic mixed models. In crude models, maternal education was positively associated with incidence of acute lymphoblastic leukemia (odds ratio (OR) = 1.10, 95% confidence interval (CI): 1.02, 1.19), central nervous system tumors (OR = 1.12, 95% CI: 1.04, 1.21), and neuroblastoma (OR = 1.15, 95% CI: 1.02, 1.30). Adjustment for established risk factors-including race/ethnicity, maternal age, and birth weight-substantially attenuated these positive associations. Similar patterns were observed for neighborhood-level SES. Conversely, higher maternal education was inversely associated with hepatoblastoma incidence (adjusted OR = 0.70, 95% CI: 0.51, 0.98). Overall, beyond the social patterning of established demographic and pregnancy-related exposures, SES is not strongly associated with childhood cancer incidence.

Composition or Context: Using Transportability to Understand Drivers of Site Differences in a Large-scale Housing Experiment

BACKGROUND

The Moving To Opportunity (MTO) experiment manipulated neighborhood context by randomly assigning housing vouchers to volunteers living in public housing to use to move to lower poverty neighborhoods in five US cities. This random assignment overcomes confounding limitations that challenge other neighborhood studies. However, differences in MTO's effects across the five cities have been largely ignored. Such differences could be due to population composition (e.g., differences in the racial/ethnic distribution) or to context (e.g., differences in the economy).

METHODS

Using a nonparametric omnibus test and a multiply robust, semiparametric estimator for transportability, we assessed the extent to which differences in individual-level compositional characteristics that may act as effect modifiers can account for differences in MTO's effects across sites. We examined MTO's effects on marijuana use, behavioral problems, major depressive disorder, and generalized anxiety disorder among black and Latino adolescent males, where housing voucher receipt was harmful for health in some sites but beneficial in others.

RESULTS

Comparing point estimates, differences in composition partially explained site differences in MTO effects on marijuana use and behavioral problems but did not explain site differences for major depressive disorder or generalized anxiety disorder.

CONCLUSIONS

Our findings provide quantitative, rigorous evidence for the importance of context or unmeasured individual-level compositional variables in modifying MTO's effects.

Do pregnancy characteristics contribute to rising childhood cancer incidence rates in the United States?

BACKGROUND

Since 1975, childhood cancer incidence rates have gradually increased in the United States; however, few studies have conducted analyses across time to unpack this temporal rise. The aim of this study was to test the hypothesis that increasing cancer incidence rates are due to secular trends in pregnancy characteristics that are established risk factors for childhood cancer incidence including older maternal age, higher birthweight, and lower birth order. We also considered temporal trends in sociodemographic characteristics including race/ethnicity and poverty.

PROCEDURE

We conducted a time series county-level ecologic analysis using linked population-based data from Surveillance, Epidemiology, and End Results cancer registries (1975-2013), birth data from the National Center for Health Statistics (1970-2013), and sociodemographic data from the US Census (1970-2010). We estimated unadjusted and adjusted average annual percent changes (AAPCs) in incidence of combined (all diagnoses) and individual types of cancer among children, ages 0-4 years, from Poisson mixed models.

RESULTS

There was a statistically significant unadjusted temporal rise in incidence of combined childhood cancers (AAPC = 0.71%; 95% CI = 0.55-0.86), acute lymphoblastic leukemia (0.78%; 0.49-1.07), acute myeloid leukemia (1.86%; 1.13-2.59), central nervous system tumors (1.31%; 0.94-1.67), and hepatoblastoma (2.70%; 1.68-3.72). Adjustment for county-level maternal age reduced estimated AAPCs between 8% (hepatoblastoma) and 55% (combined). However, adjustment for other county characteristics did not attenuate AAPCs, and AAPCs remained significantly above 0% in models fully adjusted for county-level characteristics.

CONCLUSION

Although rising maternal age may account for some of the increase in childhood cancer incidence over time, other factors, not considered in this analysis, may also contribute to temporal trends.

Adolescence Is a Sensitive Period for Housing Mobility to Influence Risky Behaviors: An Experimental Design

PURPOSE

Test whether neighborhood mobility effects on adolescent risky behaviors varies at different developmental ages and gender.

METHODS

The Moving to Opportunity (MTO) study randomly assigned volunteer families (1994-1997) to receive a Section 8 voucher to move to lower poverty neighborhoods versus a public housing control group. We tested three-way treatment, gender, and age-at-randomization interactions using intent-to-treat linear regression predicting a risky behavior index (RBI; measured in 2002, N = 2,829), defined as the fraction of 10 behaviors the youth reported (six measuring risky substance use [RSU], four measuring risky sexual behavior), and the RSU and risky sexual behavior subscales.

RESULTS

The treatment main effect on RBI was nonsignificant for girls (B = -.01, 95% confidence interval -.024 to .014) and harmful for boys (B = .03, 95% confidence interval .009 to .059; treatment-gender interaction p = .01). The treatment, gender, and age interaction was significant for RBI (p = .02) and RSU (p ≤ .001). Treatment boys 10 years or older at randomization were more likely (p < .05) than controls to exhibit RBI and RSU, whereas there was no effect of treatment for boys <10 years. There were no treatment control differences by age for girls' RBI, but girls 9+ years were less likely than girls ≤8 years to exhibit RSU (p < .05).

CONCLUSIONS

Moving families of boys aged 10 years or older with rental vouchers may have adverse consequences on risky behaviors but may be beneficial for girls' substance use. Developmental windows are different by gender for the effects of improving neighborhood contexts on adolescent risky behavior.

Housing mobility and adolescent mental health: The role of substance use, social networks, and family mental health in the Moving to Opportunity Study

The Moving to Opportunity (MTO) experiment was a housing mobility program begun in the mid-nineties that relocated volunteer low income families from public housing to rental units in higher opportunity neighborhoods in 5 US cities, using the Section 8 affordable housing voucher program. Compared to the control group who stayed behind in public housing, the MTO voucher group exhibited a harmful main effect for boys’ mental health, and a beneficial main effect for girls’ mental health. But no studies have examined how this social experiment caused these puzzling, opposite gender effects. The present study tests potential mediating mechanisms of the MTO voucher experiment on adolescent mental health (n=2829, aged 12–19 in 2001–2002). Using Inverse Odds Ratio Weighting causal mediation, we tested whether adolescent substance use comorbidity, social networks, or family mental health acted as potential mediators. Our results document that comorbid substance use (e.g. past 30 day alcohol use, cigarette use, and number of substances used) significantly partially mediated the effect of MTO on boys’ behavior problems, resulting in -13% to -18% percent change in the total effect. The social connectedness domain was a marginally significant mediator for boys’ psychological distress. Yet no tested variables mediated MTO's beneficial effects on girls’ psychological distress. Confounding sensitivity analyses suggest that the indirect effect of substance use for mediating boys’ behavior problems was robust, but social connectedness for mediating boys’ psychological distress was not robust. Understanding how housing mobility policies achieve their effects may inform etiology of neighborhoods as upstream causes of health, and inform enhancement of future affordable housing programs.

•

It is unclear why a large housing voucher experiment affected youth mental health.

•

We tested mediators to understand the effects of this policy relevant exposure.

•

We apply innovative, flexible mediation methods and bias sensitivity analyses.

•

Substance use was a robust mediator of housing mobility on boys’ behavior problems.

•

Mediators of opposite-gender housing mobility effects may be gender-specific.

Neighborhood Differences in Post-Stroke Mortality

BACKGROUND

Post-stroke mortality is higher among residents of disadvantaged neighborhoods, but it is not known whether neighborhood inequalities are specific to stroke survival or similar to mortality patterns in the general population. We hypothesized that neighborhood disadvantage would predict higher poststroke mortality, and neighborhood effects would be relatively larger for stroke patients than for individuals with no history of stroke.

METHODS AND RESULTS

Health and Retirement Study participants aged ≥50 years without stroke at baseline (n=15 560) were followed ≤12 years for incident stroke (1715 events over 159 286 person-years) and mortality (5325 deaths). Baseline neighborhood characteristics included objective measures based on census tracts (family income, poverty, deprivation, residential stability, and percent white, black, or foreign-born) and self-reported neighborhood social ties. Using Cox proportional hazard models, we compared neighborhood mortality effects for people with versus people without a history of stroke. Most neighborhood variables predicted mortality for both stroke patients and the general population in demographic-adjusted models. Neighborhood percent white predicted lower mortality for stroke survivors (hazard ratio, 0.75 for neighborhoods in highest 25th percentile versus below, 95% confidence interval, 0.62-0.91) more strongly than for stroke-free adults (hazard ratio, 0.92; 95% confidence interval, 0.83-1.02; P=0.04 for stroke-by-neighborhood interaction). No other neighborhood characteristic had different effects for people with versus without stroke. Neighborhood-mortality associations emerged within 3 months after stroke, when associations were often stronger than among stroke-free individuals.

CONCLUSIONS

Neighborhood characteristics predict mortality, but most effects are similar for individuals without stroke. Eliminating disparities in stroke survival may require addressing pathways that are not specific to traditional poststroke care.

Child Marriage and Intimate Partner Violence in Rural Bangladesh: A Longitudinal Multilevel Analysis

Child marriage (before age 18) is a risk factor for intimate partner violence (IPV) against women. Worldwide, Bangladesh has the highest prevalence of IPV and very early child marriage (before age 15). How the community prevalence of very early child marriage influences a woman's risk of IPV is unknown. Using panel data (2013-2014) from 3,355 women first married 4-12 years prior in 77 Bangladeshi villages, we tested the protective effect of a woman's later first marriage (at age 18 or older), the adverse effect of a higher village prevalence of very early child marriage, and whether any protective effect of a woman's later first marriage was diminished or reversed in villages where very early child marriage was more prevalent. Almost one-half (44.5 %) of women reported incident physical IPV, and 78.9 % had married before age 18. The village-level incidence of physical IPV ranged from 11.4 % to 75.0 %; the mean age at first marriage ranged from 14.8 to 18.0 years. The mean village-level prevalence of very early child marriage ranged from 3.9 % to 51.9 %. In main-effects models, marrying at 18 or later protected against physical IPV, and more prevalent very early child marriage before age 15 was a risk factor. The interaction of individual later marriage and the village prevalence of very early child marriage was positive; thus, the likely protective effect of marrying later was negated in villages where very early child marriage was prevalent. Collectively reducing very early child marriage may be needed to protect women from IPV.

Life-course Social Mobility and Reduced Risk of Adverse Birth Outcomes

INTRODUCTION

Higher adult socioeconomic position (SEP) is associated with better birth outcomes. However, few studies incorporate life-course or intergenerational SEP, which may inform etiology and targeted prevention efforts. This study tested whether life-course social mobility from childhood was associated with lower risk of adverse birth outcomes.

METHODS

Data were from the Life-course Influences of Fetal Environments (LIFE) retrospective cohort study among black women, 2009-2011, in metropolitan Detroit, MI. This study (analyzed in 2014-2016) examined whether social mobility was associated with two primary birth outcomes: small for gestational age (SGA) and preterm birth (PTB). Childhood and adulthood SEP were measured by survey in adulthood, for two constructs, measured ordinally: educational attainment and perceived financial sufficiency (subjective income/wealth). Social mobility was calculated as the difference of adulthood minus childhood SEP.

RESULTS

In covariate-adjusted Poisson regression models, 1-SD improved educational social mobility from childhood to adulthood was protective for SGA (adjusted risk ratio=0.76; 95% CI=0.64, 0.91); this association remained after adjusting for financial mobility. Upward financial social mobility from early childhood was marginally protective for SGA (adjusted risk ratio=0.85; 95% CI=0.72, 1.02), but became nonsignificant after controlling educational mobility. There were no overall associations of social mobility with PTB or low birth weight, although sensitivity analyses identified that improved financial mobility was associated with 16% marginally lower risk of spontaneous PTB and 28% marginally lower risk of low birth weight among upwardly mobile/stable women only.

CONCLUSIONS

Improved life-course social mobility is associated with reduced risk for SGA and spontaneous PTB among black women.

The effects of a housing mobility experiment on participants' residential environments

We used the Moving to Opportunity (MTO) housing experiment to inform how housing choice vouchers and housing mobility policies can assist families living in high-poverty areas to make opportunity moves to higher quality neighborhoods, across a wide range of neighborhood attributes. We compared the neighborhood attainment of the three randomly-assigned MTO treatment groups (Low Poverty voucher, Section 8 voucher, Control group) at 1997 and 2002 locations (4-7 years after baseline), by using survey reports, and by linking residential histories to numerous different administrative and population-based datasets. Compared to controls, families in Low-Poverty and Section 8 groups experienced substantial improvements in neighborhood conditions across diverse measures, including economic conditions, social systems (e.g., collective efficacy), physical features of the environment (e.g., tree cover) and health outcomes. The Low-poverty voucher group moreover achieved better neighborhood attainment compared to Section 8. Treatment effects were largest for New York and Los Angeles. We discuss the implications of our findings for expanding affordable housing policy.

The Consistency Assumption for Causal Inference in Social Epidemiology: When a Rose is Not a Rose

The assumption that exposures as measured in observational settings have clear and specific definitions underpins epidemiologic research and allows us to use observational data to predict outcomes in interventions. This leap between exposures as measured and exposures as intervened upon is typically supported by the consistency assumption. The consistency assumption has received extensive attention in risk factor epidemiology but relatively little emphasis in social epidemiology. However, violations of the consistency assumption may be especially important to consider when understanding how social and economic exposures influence health. Efforts to clarify the definitions of our exposures, thus bolstering the consistency assumption, will help guide interventions to improve population health and reduce health disparities. This article focuses on the consistency assumption as considered within social epidemiology. We explain how this assumption is articulated in the causal inference literature and give examples of how it might be violated for three common exposure in social epidemiology research: income, education and neighborhood characteristics. We conclude that there is good reason to worry about consistency assumption violations in much of social epidemiology research. Theoretically motivated explorations of mechanisms along with empirical comparisons of research findings under alternative operationalizations of exposure can help identify consistency violations. We recommend that future social epidemiology studies be more explicit to name and discuss the consistency assumption when describing the exposure of interest, including reconciling disparate results in the literature.

Heterogeneous Effects of Housing Vouchers on the Mental Health of US Adolescents

OBJECTIVES

To assess the mental health effects on adolescents of low-income families residing in high-poverty public housing who received housing vouchers to assist relocation.

METHODS

We defined treatment effects to compare 2829 adolescents aged 12 to 19 years in families offered housing vouchers versus those living in public housing in the Moving to Opportunity experiment (1994-1997; Boston, MA; Baltimore, MD; Chicago, IL; Los Angeles, CA; New York, NY). We employed model-based recursive partitioning to identify subgroups with heterogeneous treatment effects on psychological distress and behavior problems measured in 2002. We tested 35 potential baseline treatment modifiers.

RESULTS

For psychological distress, Chicago participants experienced null treatment effects. Outside Chicago, boys experienced detrimental effects, whereas girls experienced beneficial effects. Behavior problems effects were null for adolescents who were aged 10 years or younger at baseline. For adolescents who were older than 10 years at baseline, violent crime victimization, unmarried parents, and unsafe neighborhoods increased adverse treatment effects. Adolescents who were older than 10 years at baseline without learning problems or violent crime victimization, and whose parents moved for better schools, experienced beneficial effects.

CONCLUSIONS

Health effects of housing vouchers varied across subgroups. Supplemental services may be necessary for vulnerable subgroups for whom housing vouchers alone may not be beneficial.

Racism in the form of micro aggressions and the risk of preterm birth among black women

PURPOSE

This study sought to examine whether perceived interpersonal racism in the form of racial micro aggressions was associated with preterm birth (PTB) and whether the presence of depressive symptoms and perceived stress modified the association.

METHODS

Data stem from a cohort of 1410 black women residing in Metropolitan Detroit, Michigan, enrolled into the Life-course Influences on Fetal Environments (LIFE) study. The Daily Life Experiences of Racism and Bother (DLE-B) scale measured the frequency and perceived stressfulness of racial micro aggressions experienced during the past year. Severe past-week depressive symptomatology was measured by the Centers for Epidemiologic Studies-Depression scale (CES-D) dichotomized at ≥ 23. Restricted cubic splines were used to model nonlinearity between perceived racism and PTB. We used the Perceived Stress Scale to assess general stress perceptions.

RESULTS

Stratified spline regression analysis demonstrated that among those with severe depressive symptoms, perceived racism was not associated with PTB. However, perceived racism was significantly associated with PTB among women with mild to moderate (CES-D score ≤ 22) depressive symptoms. Perceived racism was not associated with PTB among women with or without high amounts of perceived stress.

CONCLUSIONS

Our findings suggest that racism, at least in the form of racial micro aggressions, may not further impact a group already at high risk for PTB (those with severe depressive symptoms), but may increase the risk of PTB for women at lower baseline risk.

Perceived Physical and Social Residential Environment and Preterm Delivery in African-American Women

Perceptions of the residential environment may be associated with preterm delivery (PTD), though few studies exist. Data from the Life-course Influences on Fetal Environments (LIFE) Study (metropolitan Detroit, Michigan, 2009-2011) were used to examine whether perceptions of the current social and physical environment were associated with PTD rates among postpartum African-American women (n = 1,411). Perceptions of the following neighborhood characteristics were measured with validated multi-item scales: healthy food availability, walkability, safety, social cohesion, and social disorder. No significant associations between perceived residential environment and PTD were found in the total sample. However, education significantly modified 4 of the 5 associations (all interaction P's < 0.05). In women with ≤12 years of education, significant inverse associations were observed between PTD rates and perceptions of the following neighborhood characteristics: healthy food availability (unadjusted prevalence ratio (uPR) = 0.81, 95% confidence interval (CI): 0.68, 0.98), walkability (uPR = 0.77, 95% CI: 0.64, 0.95), and safety (uPR = 0.73, 95% CI: 0.56, 0.95). Women with ≤12 years of education also had higher PTD rates with higher social disorder (age-adjusted PR = 1.54, 95% CI: 1.10, 2.17). Null associations existed for women with >12 years of education. The PTD rates of women with lower education may be significantly affected by the physical and social residential environment.

Change in waist circumference with longer time in the United States among Hispanic and Chinese immigrants: the modifying role of the neighborhood built environment

PURPOSE

We examined whether living in neighborhoods supportive of healthier diets and more active lifestyles may buffer immigrants against the unhealthy weight gain that is purported to occur with longer length of US residence.

METHODS

Neighborhood data referring to a 1-mile buffer around participants' baseline home addresses were linked to longitudinal data from 877 Hispanic and 684 Chinese immigrants aged 45 to 84 years in the Multi-Ethnic Study of Atherosclerosis. We used ethnicity-stratified linear mixed models to examine whether food and activity-based neighborhood measures (healthy food stores, walkability, and recreational facilities) were associated with change in waist circumference (WC) over a 9-year follow-up.

RESULTS

Among Hispanics, living in neighborhoods with more resources for healthy food and recreational activity was related to lower baseline WC. However, there was no association with change in WC over time. Among Chinese, living in more walkable neighborhoods was associated with lower baseline WC and with slower increases in WC over time, especially among the most recent immigrant arrivals.

CONCLUSIONS

Where immigrants reside may have implications for health patterns that emerge with longer time in the United States.

Where we used to live: validating retrospective measures of childhood neighborhood context for life course epidemiologic studies

Early life exposures influence numerous social determinants of health, as distal causes or confounders of later health outcomes. Although a growing literature is documenting how early life socioeconomic position affects later life health, few epidemiologic studies have tested measures for operationalizing early life neighborhood context, or examined their effects on later life health. In the Life-course Influences on Fetal Environments (LIFE) Study, a retrospective cohort study among Black women in Southfield, Michigan (71% response rate), we tested the validity and reliability of retrospectively-reported survey-based subjective measures of early life neighborhood context(N=693). We compared 3 subjective childhood neighborhood measures (disorder, informal social control, victimization), with 3 objective childhood neighborhood measures derived from 4 decades of historical census tract data 1970-2000, linked through geocoded residential histories (tract % poverty, tract % black, tract deprivation score derived from principal components analysis), as well as with 2 subjective neighborhood measures in adulthood. Our results documented that internal consistency reliability was high for the subjective childhood neighborhood scales (Cronbach’s α =0.89, 0.93). Comparison of subjective with objective childhood neighborhood measures found moderate associations in hypothesized directions. Associations with objective variables were strongest for neighborhood disorder (rhos=.40), as opposed to with social control or victimization. Associations between subjective neighborhood context in childhood versus adulthood were moderate and stronger for residentially-stable populations. We lastly formally tested for, but found little evidence of, recall bias of the retrospective subjective reports of childhood context. These results provide evidence that retrospective reports of subjective neighborhood context may be a cost-effective, valid, and reliable method to operationalize early life context for health studies.

Practical guidance for conducting mediation analysis with multiple mediators using inverse odds ratio weighting

Despite the recent flourishing of mediation analysis techniques, many modern approaches are difficult to implement or applicable to only a restricted range of regression models. This report provides practical guidance for implementing a new technique utilizing inverse odds ratio weighting (IORW) to estimate natural direct and indirect effects for mediation analyses. IORW takes advantage of the odds ratio's invariance property and condenses information on the odds ratio for the relationship between the exposure (treatment) and multiple mediators, conditional on covariates, by regressing exposure on mediators and covariates. The inverse of the covariate-adjusted exposure-mediator odds ratio association is used to weight the primary analytical regression of the outcome on treatment. The treatment coefficient in such a weighted regression estimates the natural direct effect of treatment on the outcome, and indirect effects are identified by subtracting direct effects from total effects. Weighting renders treatment and mediators independent, thereby deactivating indirect pathways of the mediators. This new mediation technique accommodates multiple discrete or continuous mediators. IORW is easily implemented and is appropriate for any standard regression model, including quantile regression and survival analysis. An empirical example is given using data from the Moving to Opportunity (1994-2002) experiment, testing whether neighborhood context mediated the effects of a housing voucher program on obesity. Relevant Stata code (StataCorp LP, College Station, Texas) is provided.