Toward A Policy-Relevant Analysis Of Geographic And Racial/Ethnic Disparities In Child Health

Socioeconomic Disadvantage and Days at Home After Hospital Discharge of Patients with Heart Failure

The risk of heart failure (HF) readmission may be reduced by disease management programs, but the resource-intensive nature of these requires targeting to the greatest need. As socioeconomic status (SES) is related to other health outcomes, we sought whether regional markers of SES were associated with days at home (alive and out of hospital) after discharge. This study used statewide data of 1,391 HF patients who had their first ever HF admission to a public hospital in Tasmania (Australia) during 2009 to 2012. Measurements of residential SES included four indexes and a remoteness index generated by the Australian Bureau of Statistics. The primary outcome was days at home. Secondary outcomes included 30- and 90-day readmission or death, number of readmissions, and days to first readmission. Our HF patients had a median of 352 days at home [interquartile range 167, 361]. All four SES indexes and the remoteness index (p <0.001) were adversely associated with days at home, independent of other clinical and nonclinical factors. Findings for readmission at 30 and 90 days of discharge were inconsistent; the index of Relative Socioeconomic Advantage and Disadvantage (but not other SES indexes) was independently associated with 30-day readmission (odds ratio 1.58, p = 0.008) and remoteness index was significantly associated with 90-day readmission (odds ratio = 1.99, p = 0.009). Analyzing days to first readmission did not show any significant differences among categories of SES (log-rank test p = 0.81) or remoteness index (log-rank test p = 0.47). Thus, residential SES is associated with adverse outcome in HF, and might be useful in planning services to reduce HF readmission.

Poverty, Transportation Access, and Medication Nonadherence

BACKGROUND AND OBJECTIVES

Variability in primary medication nonadherence (PMN), or failure to fill a new prescription, influences disparities and widens equity gaps. This study sought to evaluate PMN across 1 metropolitan area and assess relationships with underlying zip code-level measures.

METHODS

This was a retrospective observational study using data extracted from 1 regional community pharmacy market-share leader (October 2016-April 2017). Data included patient age, sex, payer, medication type, and home zip code. This zip code was connected to US census measures enumerating poverty and vehicle access, which were treated as continuous variables and within quintiles. The prescription-level outcome was whether prescriptions were not filled within 30 days of reaching the pharmacy. The ecological-level outcome was PMN calculated for each zip code (numerator, unfilled prescriptions; denominator, received prescriptions).

RESULTS

There were 213 719 prescriptions received by 54 included pharmacies; 12.2% were unfilled. Older children, boys, and those with public insurance were more likely to have prescriptions not filled. Prescriptions originating from the highest poverty quintile were significantly more likely to not be filled than those from the lowest poverty quintile (adjusted odds ratio 1.60; 95% confidence interval 1.52-1.69); a similar pattern was noted for vehicle access (adjusted odds ratio 1.77; 95% confidence interval 1.68-1.87). At the ecological level, there were significant, graded relationships between PMN rates and poverty and vehicle access (both P < .0001); these gradients extended across all medication classes.

CONCLUSIONS

Poverty and vehicle access are related to significant differences in prescription- and ecological-level PMN across 1 metropolitan area. Pharmacists and pharmacies can be key partners in population health efforts.

Barrios, ghettos, and residential racial composition: Examining the racial makeup of neighborhood profiles and their relationship to self-rated health

Racial/ethnic disparities in self-rated health persist and according to the social determinants of health framework, may be partially explained by residential context. The relationship between neighborhood factors and self-rated health has been examined in isolation but a more holistic approach is needed to understand how these factors may cluster together and how these neighborhood typologies relate to health. To address this gap, we conducted a latent profile analysis using data from the Chicago Community Adult Health Study (CCAHS; N = 2969 respondents in 342 neighborhood clusters) to identify neighborhood profiles, examined differences in neighborhood characteristics among the identified typologies and tested their relationship to self-rated health. Results indicated four distinct classes of neighborhoods that vary significantly on most neighborhood-level social determinants of health and can be defined by racial/ethnic composition and class. Residents in Hispanic, majority black disadvantaged, and majority black non-poor neighborhoods all had significantly poorer self-rated health when compared to majority white neighborhoods. The difference between black non-poor and white neighborhoods in self-rated health was not significant when controlling for individual race/ethnicity. The results indicate that neighborhood factors do cluster by race and class of the neighborhood and that this clustering is related to poorer self-rated health.

The Child Opportunity Index and Disparities in Pediatric Asthma Hospitalizations Across One Ohio Metropolitan Area, 2011-2013

OBJECTIVES

To determine whether the Child Opportunity Index (COI), a nationally available measure of relative educational, health/environmental, and social/economic opportunity across census tracts within metropolitan areas, is associated with population- and patient-level asthma morbidity.

STUDY DESIGN

This population-based retrospective cohort study was conducted between 2011 and 2013 in a southwest Ohio county. Participants included all children aged 1-16 years with hospitalizations or emergency department visits for asthma or wheezing at a major pediatric hospital. Patients were identified using discharge diagnosis codes and geocoded to their home census tract. The primary population-level outcome was census tract asthma hospitalization rate. The primary patient-level outcome was rehospitalization within 12 months of the index hospitalization. Census tract opportunity was characterized using the COI and its educational, health/environmental, and social/economic domains.

RESULTS

Across 222 in-county census tracts, there were 2539 geocoded hospitalizations. The median asthma-related hospitalization rate was 5.0 per 1000 children per year (IQR, 1.9-8.9). Median hospitalization rates in very low, low, moderate, high, and very high opportunity tracts were 9.1, 7.6, 4.6, 2.1, and 1.8 per 1000, respectively (P < .0001). The social/economic domain had the most variables significantly associated with the outcome at the population level. The adjusted patient-level analyses showed that the COI was not significantly associated with a patient's risk of rehospitalization within 12 months.

CONCLUSIONS

The COI was associated with population-level asthma morbidity. The details provided by the COI may inform interventions aimed at increasing opportunity and reducing morbidity across regions.

Race disparities in pubertal timing: Implications for cardiovascular disease risk among African American women

Compared to white girls, sexual maturation is accelerated in African American girls as measured by indicators of pubertal development, including age at first menses. Increasing epidemiological evidence suggests that the timing of pubertal development may have strong implications for cardio-metabolic health in adolescence and adulthood. In fact, younger menarcheal age has been related prospectively to poorer cardiovascular risk factor profiles, a worsening of these profiles over time, and an increase in risk for cardiovascular events, including non-fatal incident cardiovascular disease and cardiovascular-specific and all-cause mortality. Yet, because this literature has been limited almost exclusively to white girls/women, whether this same association is present among African American girls/women has not been clarified. In the current narrative review, the well-established vulnerability of African American girls to experience earlier pubertal onset is discussed as are findings from literatures examining the health outcomes of earlier pubertal timing and its antecedents, including early life adversity exposures often experienced disproportionately in African American girls. Gaps in these literatures are highlighted especially with respect to the paucity of research among minority girls/women, and a conceptual framework is posited suggesting disparities in pubertal timing between African American and white girls may partially contribute to well-established disparities in adulthood risk for cardio-metabolic disease between African American and white women. Future research in these areas may point to novel areas for intervention in preventing or lessening the heightened cardio-metabolic risk among African American women, an important public health objective.

Review: Genetic research on alcohol use outcomes in African American populations: A review of the literature, associated challenges, and implications

BACKGROUND AND OBJECTIVES

There have been remarkable advances in understanding genetic influences on complex traits; however, individuals of African descent have been underrepresented in genetic research.

METHODS

We review the limitations of existing genetic research on alcohol phenotypes in African Americans (AA) including both twin and gene identification studies, possible reasons for underrepresentation of AAs in genetic research, the implications of the lack of racially diverse samples, and special considerations regarding conducting genetic research in AA populations.

RESULTS

There is a marked absence of large-scale AA twin studies so little is known about the genetic epidemiology of alcohol use and problems among AAs. Individuals of African descent have also been underrepresented in gene identification efforts; however, there have been recent efforts to enhance representation. It remains unknown the extent to which genetic variants associated with alcohol use outcomes in individuals of European and African descent will be shared. Efforts to increase representation must be accompanied by careful attention to the ethical, legal, and social implications of genetic research. This is particularly true for AAs due to the history of abuse by the biomedical community and the persistent racial discrimination targeting this population.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Lack of representation in genetic studies limits our understanding of the etiological factors that contribute to substance use and psychiatric outcomes in populations of African descent and has the potential to further perpetuate health disparities. Involving individuals of diverse ancestry in discussions about genetic research will be critical to ensure that all populations benefit equally from genetic advances. (Am J Addict 2017;26:486-493).

Religious Development in African American Adolescents: Growth Patterns That Offer Protection

Although religiosity promotes resilient outcomes in African American (AA) adolescents, there is a lack of research that examines the protective role of religious development in the context of stressful life events (SLEs). In 1,595 AA adolescents, a cohort-sequential design was used from ages 12 to 18 to examine subtypes of religiosity, as well as distinct developmental patterns within subtypes. The protective role of religious development was also examined in the context of SLEs. The study findings indicated two subtypes of religiosity-extrinsic and intrinsic religiosity-as well as low and high developmental patterns in the identified subtypes. Furthermore, the protective influence of extrinsic and intrinsic religiosity gradually diminished from age 12 to 18 in the context of SLEs.

Does a Crossover Age Effect Exist for African American and Hispanic Binge Drinkers? Findings from the 2010 to 2013 National Study on Drug Use and Health

BACKGROUND

Among general population studies, lower rates of binge drinking tend to be found among African Americans and Hispanics compared to Whites. However, among older adult populations, minority groups have been shown to be at higher risk for binge drinking, suggesting the presence of a crossover effect from low to high risk as a function of age. To date, limited research has examined the crossover effect among African American and Hispanic populations compared to non-Hispanic Whites across large developmental time frames or explored variation in risk based on income or gender. This study aimed to fill these gaps in the literature.

METHODS

Data were compiled from the 2010 to 2013 National Survey on Drug Use and Health surveys, which provide annual, nationally representative data on substance use behaviors among individuals aged 12 and older. Hispanic, non-Hispanic African American, and non-Hispanic White respondents were included (N = 205,198) in the analyses.

RESULTS

A crossover effect was found for African American males and females among the lowest income level (i.e., incomes less than $20,000). Specifically, after controlling for education and marital status, compared to Whites, risk for binge drinking was lower for African American males at ages 18 to 24 and for females at ages 18 to 34, but higher for both African American males and females at ages 50 to 64. No crossover effect was found for Hispanic respondents.

CONCLUSIONS

Although African Americans are generally at lower risk for binge drinking, risk appears to increase disproportionately with age among those who are impoverished. Explanatory factors, such as social determinants of health prevalent within low-income African American communities (e.g., lower education, violence exposure, housing insecurity) and potential areas for intervention programming are discussed.

The Impact of Neighborhood Conditions and Psychological Distress on Preterm Birth in African-American Women

OBJECTIVE

Prior research suggests that adverse neighborhood conditions are related to preterm birth. One potential pathway by which neighborhood conditions increase the risk for preterm birth is by increasing women's psychological distress. Our objective was to examine whether psychological distress mediated the relationship between neighborhood conditions and preterm birth.

DESIGN AND SAMPLE

One hundred and one pregnant African-American women receiving prenatal care at a medical center in Chicago participated in this cross-sectional design study.

MEASURES

Women completed the self-report instruments about their perceived neighborhood conditions and psychological distress between 15-26 weeks gestation. Objective measures of the neighborhood were derived using geographic information systems (GIS). Birth data were collected from medical records.

RESULTS

Perceived adverse neighborhood conditions were related to psychological distress: perceived physical disorder (r = .26, p = .01), perceived social disorder (r = .21, p = .03), and perceived crime (r = .30, p = .01). Objective neighborhood conditions were not related to psychological distress. Psychological distress mediated the effects of perceived neighborhood conditions on preterm birth.

CONCLUSIONS

Psychological distress in the second trimester mediated the effects of perceived, but not objective, neighborhood conditions on preterm birth. If these results are replicable in studies with larger sample sizes, intervention strategies could be implemented at the individual level to reduce psychological distress and improve women's ability to cope with adverse neighborhood conditions.

Hispanic Residential Isolation, ADHD Diagnosis and Stimulant Treatment among Medicaid-Insured Youth

OBJECTIVE

This study aimed to evaluate a conceptual framework that assessed the effect of Hispanic residential isolation on Attention Deficit Hyperactivity Disorder (ADHD) health service utilization among 2.2 million publicly insured youth.

DESIGN

Cross-sectional.

SETTING

Medicaid administrative claims data for ambulatory care services from a US Pacific state linked with US census data.

PARTICIPANTS

Youth, aged 2-17 years, continuously enrolled in 2009.

MAIN OUTCOME MEASURES

The percent annual prevalence and odds of ADHD diagnosis and stimulant use according to two measures of racial/ethnic residential isolation: 1) the county-level Hispanic isolation index (HI) defined as the population density of Hispanic residents in relation to other racial/ethnic groups in a county (<.5; .5-.64; ≥.65); and 2) the proportion of Hispanic residents in a ZIP code tabulation area (<25%; 25%-50%; >50%).

RESULTS

Among the 47,364 youth with a clinician-reported ADHD diagnosis, 60% received a stimulant treatment (N = 28,334). As the county level HI increased, Hispanic residents of ethnically isolated locales were significantly less likely to receive an ADHD diagnosis (adjusted odds ratio [AOR]=.92 [95% CI=.88-.96]) and stimulant use (AOR=.61 [95% CI=.59-.64]) compared with Hispanic youth in less isolated areas. At the ZIP code level, a similar pattern of reduced ADHD diagnosis (AOR=.81 [95% CI=.77-.86]) and reduced stimulant use (AOR=.65 [95% CI=.61-.69]) was observed as Hispanic residential isolation increased from the least isolated to the most isolated ZIP code areas.

CONCLUSIONS

These findings highlight the opportunity for Big Data to advance mental health research on strategies to reduce racial/ethnic health disparities, particularly for poor and vulnerable youth. Further exploration of racial/ethnic residential isolation in other large data sources is needed to guide future policy development and to target culturally sensitive interventions.

The moderating effect of neighborhood sense of community on predictors of substance use among Hispanic urban youth

Hispanic adolescents represent a disproportionate number of youth living in urban communities. These youth confront significant social problems that increase their likelihood for substance use. However, youth that have a greater neighborhood sense of community are postulated, through empowerment theory, to be less influenced by negative environmental experiences and less inclined to engage in drug and alcohol use. We examine the moderating effect neighborhood SOC has on predictors of substance use among Hispanic (N = 538) urban youth in low- (n = 246) and high-conflict homes (n = 292). Using logistic regression analysis and a plotting technique to examine interaction effects, we explore these relationships and provide recommendations for practice and prevention.

Exploring U.S. Hispanic parents' length of time in the United States: Influences on obesity outcomes among U.S. Hispanic children

The 2009 California Health Interview Survey was used to examine effects of Hispanic immigrant parents' length of stay (less or more than 10 years) in the United States on the overweight and obesity outcomes among their children (N = 956, aged 6-11). The socio-ecological model of health was used to conceptualize health risk behaviors and associations with overweight/obesity outcomes among children. Weight (using body mass index) among children was influenced by parents' length of stay, country of origin, income, and urban/rural residence. Future directions for social work professionals working with obese Hispanic children and their families are discussed.

Population-Attributable Risk Percentages for Racialized Risk Environments

Research about relationships between place characteristics and racial/ethnic inequities in health has largely ignored conceptual advances about race and place within the discipline of geography. Research has also almost exclusively quantified these relationships using effect estimates (e.g., odds ratios), statistics that fail to adequately capture the full impact of place characteristics on inequities and thus undermine our ability to translate research into action. We draw on geography to further develop the concept of "racialized risk environments," and we argue for the routine calculation of race/ethnicity-specific population-attributable risk percentages.

The child opportunity index: improving collaboration between community development and public health

Improving neighborhood environments for children through community development and other interventions may help improve children's health and reduce inequities in health. A first step is to develop a population-level surveillance system of children's neighborhood environments. This article presents the newly developed Child Opportunity Index for the 100 largest US metropolitan areas. The index examines the extent of racial/ethnic inequity in the distribution of children across levels of neighborhood opportunity. We found that high concentrations of black and Hispanic children in the lowest-opportunity neighborhoods are pervasive across US metropolitan areas. We also found that 40 percent of black and 32 percent of Hispanic children live in very low-opportunity neighborhoods within their metropolitan area, compared to 9 percent of white children. This inequity is greater in some metropolitan areas, especially those with high levels of residential segregation. The Child Opportunity Index provides perspectives on child opportunity at the neighborhood and regional levels and can inform place-based community development interventions and non-place-based interventions that address inequities across a region. The index can also be used to meet new community data reporting requirements under the Affordable Care Act.

Mapping the Racial Inequality in Place: Using Youth Perceptions to Identify Unequal Exposure to Neighborhood Environmental Hazards

Black youth are more likely than white youth to grow up in poor, segregated neighborhoods. This racial inequality in the neighborhood environments of black youth increases their contact with hazardous neighborhood environmental features including violence and toxic exposures that contribute to racial inequality in youth health and well-being. While the concept of neighborhood effects has been studied at length by social scientists, this work has not been as frequently situated within an environmental justice (EJ) paradigm. The present study used youth perceptions gained from in-depth interviews with youth from one Pittsburgh, Pennsylvania neighborhood to identify neighborhood environmental health hazards. We then mapped these youth-identified features to examine how they are spatially and racially distributed across the city. Our results suggest that the intersection of race and poverty, neighborhood disorder, housing abandonment, and crime were salient issues for youth. The maps show support for the youths' assertions that the environments of black and white individuals across the city of Pittsburgh differ in noteworthy ways. This multi-lens, mixed-method analysis was designed to challenge some of the assumptions we make about addressing environmental inequality using youths' own opinions on the issue to drive our inquiry.

Association of EMR Adoption with Minority Health Care Outcome Disparities in US Hospitals

Objectives

Disparities in healthcare among minority groups can result in disparate treatments for similar severities of symptoms, unequal access to medical care, and a wide deviation in health outcomes. Such racial disparities may be reduced via use of an Electronic Medical Record (EMR) system. However, there has been little research investigating the impact of EMR systems on the disparities in health outcomes among minority groups.

Methods

This study examined the impact of EMR systems on the following four outcomes of black patients: length of stay, inpatient mortality rate, 30-day mortality rate, and 30-day readmission rate, using patient and hospital data from the Medicare Provider Analysis and Review and the Healthcare Information and Management Systems Society between 2000 and 2007. The difference-in-difference research method was employed with a generalized linear model to examine the association of EMR adoption on health outcomes for minority patients while controlling for patient and hospital characteristics.

Results

We examined the association between EMR adoption and the outcomes of minority patients, specifically black patients. However, after controlling for patient and hospital characteristics we could not find any significant changes in the four health outcomes of minority patients before and after EMR implementation.

Conclusions

EMR systems have been reported to support better coordinated care, thus encouraging appropriate treatment for minority patients by removing potential sources of bias from providers. Also, EMR systems may improve the quality of care provided to patients via increased responsiveness to care processes that are required to be more time-sensitive and through improved communication. However, we did not find any significant benefit for minority groups after EMR adoption.

Racial Disparities in Child Adversity in the U.S.: Interactions With Family Immigration History and Income

INTRODUCTION

Childhood adversity is an under-addressed dimension of primary prevention of disease in children and adults. Evidence shows racial/ethnic and socioeconomic patterning of childhood adversity in the U.S., yet data on the interaction of race/ethnicity and SES for exposure risk is limited, particularly with consideration of immigration history. This study examined racial/ethnic differences in nine adversities among children (from birth to age 17 years) in the National Survey of Child Health (2011-2012) and determined how differences vary by immigration history and income (N=84,837).

METHODS

We estimated cumulative adversity and individual adversity prevalences among white, black, and Hispanic children of U.S.-born and immigrant parents. We examined whether family income mediated the relationship between race/ethnicity and exposure to adversities, and tested interactions (analyses conducted in 2014-2015).

RESULTS

Across all groups, black and Hispanic children were exposed to more adversities compared with white children, and income disparities in exposure were larger than racial/ethnic disparities. For children of U.S.-born parents, these patterns of racial/ethnic and income differences were present for most individual adversities. Among children of immigrant parents, there were few racial/ethnic differences for individual adversities and income gradients were inconsistent. Among children of U.S.-born parents, the Hispanic-white disparity in exposure to adversities persisted after adjustment for income, and racial/ethnic disparities in adversity were largest among children from high-income families.

CONCLUSIONS

Simultaneous consideration of multiple social statuses offers promising frameworks for fresh thinking about the distribution of disease and the design of targeted interventions to reduce preventable health disparities.

Explaining racial disparities in infant health in Brazil

OBJECTIVES

We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.

METHODS

We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or African mixed with other ancestries, and European ancestry alone. We used a decomposition model to quantify the contributions of conceptually relevant factors to these disparities.

RESULTS

The model explained 45% to 94% of LBW and 64% to 94% of PTB disparities between the African ancestry groups and European ancestry. Differences in prenatal care use and geographic location were the most important contributors, followed by socioeconomic differences. The model explained the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.

CONCLUSIONS

Public policies to improve children's health should target prenatal care and geographic location differences to reduce health disparities between infants of African and European ancestries in Brazil.

Selective Enrollment, Race, and Shifting the Geography of Educational Opportunity

We have increasingly witnessed a movement toward neoliberalism, an ideological and economic system that promotes aggressiveness in the public environment and shifts the attention of states from addressing the needs of their citizens to exhorting citizens to address their own needs. Beyond deregulation, the reduction of government’s role in the economy, and the dominance of market-oriented ideas, neoliberalism prioritizes education as a mechanism for producing human capital and advancing the global knowledge economy. However, the acquisition of human capital is left largely to individuals (and families). Decoteau (2013) observes that in such a context members of a society become “responsibilized” and “entrepreneurialized” as consumers of public goods. This is observed in Chicago’s discursive constructions of schooling where school choice is the dominant narrative and parents are now presented as responsible consumers who select the best educational alternatives for their children. Such constructions also merge market-oriented school reform with new attempts to achieve racial/ethnic integration as shifting demographics and attention to the role of educational institutions to promote equity have been redefined. In this context, a number of experiments are used to attract enrollment and achieve diversity. Our article draws from a four-year study of a student diversity initiative at an elite public high school during a transition from federal and district supported racial integration to integration based on economic class. The article argues that shifting demographics and educational policies coalesced with tax increment financing, an urban development tool, to manage diversity and accommodate an increasingly affluent clientele at the expense of minority groups, particularly African Americans.

Future Directions for Dissemination and Implementation Science: Aligning Ecological Theory and Public Health to Close the Research to Practice Gap

Dissemination and implementation science (DI) has evolved as a major research model for children's mental health in response to a long-standing call to integrate science and practice and bridge the elusive research to practice gap. However, to address the complex and urgent needs of the most vulnerable children and families, future directions for DI require a new alignment of ecological theory and public health to provide effective, sustainable, and accessible mental health services. We present core principles of ecological theory to emphasize how contextual factors impact behavior and allow for the reciprocal impact individuals have on the settings they occupy, and an alignment of these principles with a public health model to ensure that services span the prevention to intervention continuum. We provide exemplars from our ongoing work in urban schools and a new direction for research to address the mental health needs of immigrant Latino families. Through these examples we illustrate how DI can expand its reach by embedding within natural settings to build on local capacity and indigenous resources, incorporating the local knowledge necessary to more substantively address long-standing mental health disparities. This paradigm shift for DI, away from an overemphasis on promoting program adoption, calls for fitting interventions within settings that matter most to children's healthy development and for utilizing and strengthening available community resources. In this way, we can meet the challenge of addressing our nation's mental health burden by supporting the needs and values of families and communities within their own unique social ecologies.

Racial residential segregation and risky sexual behavior among non-Hispanic blacks, 2006-2010

Sexually transmitted infections (STIs) including human immunodeficiency virus (HIV) have disproportionately affected the non-Hispanic black population in the United States. A person's community can affect his or her STI risk by the community's underlying prevalence of STIs, sexual networks, and social influences on individual behaviors. Racial residential segregation-the separation of racial groups in a residential context across physical environments-is a community factor that has been associated with negative health outcomes. The objective of this study was to examine if non-Hispanic blacks living in highly segregated areas were more likely to have risky sexual behavior. Demographic and sexual risk behavior data from non-Hispanic blacks aged 15-44 years participating in the National Survey of Family Growth were linked to Core-Based Statistical Area segregation data from the U.S. Census Bureau. Five dimensions measured racial residential segregation, each covering a different concept of spatial variation. Multilevel logistic regressions were performed to test the effect of each dimension on sexual risk behavior controlling for demographics and community poverty. Of the 3643 participants, 588 (14.5%) reported risky sexual behavior as defined as two or more partners in the last 12 months and no consistent condom use. Multilevel analysis results show that racial residential segregation was associated with risky sexual behavior with the association being stronger for the centralization [aOR (95% CI)][2.07 (2.05-2.08)] and concentration [2.05 (2.03-2.07)] dimensions. This suggests risky sexual behavior is more strongly associated with neighborhoods with high concentrations of non-Hispanic blacks and an accumulation of non-Hispanic blacks in an urban core. Findings suggest racial residential segregation is associated with risky sexual behavior in non-Hispanic blacks 15-44 years of age with magnitudes varying by dimension. Incorporating additional contextual factors may lead to the development of interventions that promote healthier behaviors and lower rates of HIV and other STIs.

Asthma Management Disparities: A Photovoice Investigation with African American Youth

Disparities in asthma management are a burden on African American youth. The objective of this study is to describe and compare the discourses of asthma management disparities (AMDs) in African American adolescents in Seattle to existing youth-related asthma policies in Washington State. Adolescents participated in a three-session photovoice project and presented their phototexts to the Washington State asthma planning committee. Critical discourse analysis methodology was used to analyze adolescent phototexts and the State asthma plan. We found that the State plan did not address AMD in African American adolescents. Adolescents discussed more topics on AMD than the State plan presented, and they introduced new topics concerning residential mobility, poor nutrition, inadequate athletic opportunities, and schools with stairs. Current health policy may be constraining effective responses to asthma disparities in youth. School nursing leadership can use photovoice to advance youth voice in transforming structural inequities in urban school environments.

Immigrant Latino neighborhoods and mortality among infants born to Mexican-origin Latina women

To compare the association between neighborhood Latino immigrant concentration and infant mortality by maternal nativity among singleton births to Mexican-origin women in Los Angeles County. Information about births, infant deaths, and infant and maternal characteristics were obtained from geocoded Los Angeles County vital statistics records (2002-2005). Linked data on neighborhood characteristics (census tracts) were obtained from the 2000 census. Logistic regression models were used to predict infant mortality while accounting for spatial clustering by census tract. Two-thirds of births to Mexican-origin mothers were to foreign-born women. Foreign-born mothers were older, had less education, and were more likely to have delivery costs paid by Medicaid than US-born mothers. Infants born to foreign-born women had a lower infant mortality rates than infants born to US-born women (3.8/1,000 live births vs. 4.6, p = .002). Among infants of foreign-born mothers, the odds of infant mortality increased with increasing immigrant concentration (OR 1.29; 95 % CI 1.01-1.66). There was a similar pattern of association between immigrant concentration and mortality for infants of US-born mothers (OR 1.29; 95 % CI 0.99-1.67). In Los Angeles County, the odds of infant mortality among foreign-born Mexican-origin Latina were higher in higher-density immigrant neighborhoods, with a similar trend among US-born mothers. Thus, living in immigrant enclaves likely does not help to explain the lower than expected infant mortality rate among infants born to Latina women. Instead, higher neighborhood Latino immigrant concentration may indicate a neighborhood with characteristics that negatively impact maternal and infant health for Latinos.

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.

Does neighborhood deprivation modify the effect of preterm birth on children's first grade academic performance?

Children's cognitive development and academic performance are linked to both fetal and early childhood factors, including preterm birth and family socioeconomic status. We evaluated whether the relationship between preterm birth (PTB) and first grade standardized test performance among Georgia public school students was modified by neighborhood deprivation in early childhood. The Georgia Birth to School cohort followed 327,698 children born in Georgia from 1998 to 2002 through to end-of-year first grade standardized tests. Binomial and log-binomial generalized estimating equations were used to estimate risk differences and risk ratios for the associations of both PTB and the Neighborhood Deprivation Index for the census tract in which each child's mother resided at the time of birth with test failure (versus passing). The presence of additive and multiplicative interaction was assessed. PTB was strongly associated with test failure, with increasing risk for earlier gestational ages. There was positive additive interaction between PTB and neighborhood deprivation. The main effect of PTB versus term birth increased risk of mathematics failure: 15.9% (95%CI: 13.3-18.5%) for early, 5.0% (95% CI: 4.1-5.9%) for moderate, and 1.3% (95%CI: 0.9-1.7%) for late preterm. Each 1 standard deviation increase in neighborhood deprivation was associated with 0.6% increased risk of mathematics failure. For children exposed to both PTB and higher neighborhood deprivation, test failure was 4.8%, 1.5%, and 0.8% greater than the sum of two main effects for early, moderate, and late PTB, respectively. Results were similar, but slightly attenuated, for reading and English/language arts. Our results suggest that PTB and neighborhood deprivation additively interact to produce greater risk among doubly exposed children than would be predicted from the sum of the effects of the two exposures. Understanding socioeconomic disparities in the effect of PTB on academic outcomes at school entry is important for targeting of early childhood interventions.

The impact of neighborhood quality, perceived stress, and social support on depressive symptoms during pregnancy in African American women

Living in a lower-quality neighborhood is associated with higher levels of depressive symptoms in the general population as well as among pregnant and postpartum women. However, little is known of the important pathways by which this association occurs. We proposed a model in which perceived stress and social support mediated the effects of neighborhood quality on depressive symptoms during pregnancy (measured by the 20-item Center for Epidemiologic Studies-Depression, CES-D, scale) in a sample of 1383 African American women from the Detroit metropolitan area interviewed during their delivery hospitalization. Using structural equation modeling (SEM), we built a latent variable of neighborhood quality using 4 measures (neighborhood disorder, neighborhood safety/danger, walking environment, overall rating). We then tested two SEM mediation models. We found that lower neighborhood quality was associated with higher prevalence of depressive symptoms during pregnancy (standardized total effect = .16, p = .011). We found that perceived stress partially mediated the neighborhood quality association with depressive symptoms. Although the association of social support with depressive symptoms was negligible, social support mediated associations of neighborhood quality with perceived stress [standardized path coefficient = .38 (.02), p = .009]. Our results point to the need for public health, health care, as well as non-health related interventions (e.g. crime prevention programs) to decrease overall exposure to stressors, as well as stress levels of women living in poor quality neighborhoods. Interventions that increase the levels of social support of women during pregnancy are also needed for their potential to decrease stress and ultimately improve mental health at this important time in the life course.

Advancing research on racial-ethnic health disparities: improving measurement equivalence in studies with diverse samples

To conduct meaningful, epidemiologic research on racial-ethnic health disparities, racial-ethnic samples must be rendered equivalent on other social status and contextual variables via statistical controls of those extraneous factors. The racial-ethnic groups must also be equally familiar with and have similar responses to the methods and measures used to collect health data, must have equal opportunity to participate in the research, and must be equally representative of their respective populations. In the absence of such measurement equivalence, studies of racial-ethnic health disparities are confounded by a plethora of unmeasured, uncontrolled correlates of race-ethnicity. Those correlates render the samples, methods, and measures incomparable across racial-ethnic groups, and diminish the ability to attribute health differences discovered to race-ethnicity vs. to its correlates. This paper reviews the non-equivalent yet normative samples, methodologies and measures used in epidemiologic studies of racial-ethnic health disparities, and provides concrete suggestions for improving sample, method, and scalar measurement equivalence.

Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study

BACKGROUND

Measures of socioeconomic disadvantage may enable improved targeting of programs to prevent rehospitalizations, but obtaining such information directly from patients can be difficult. Measures of U.S. neighborhood socioeconomic disadvantage are more readily available but are rarely used clinically.

OBJECTIVE

To evaluate the association between neighborhood socioeconomic disadvantage at the census block group level, as measured by the Singh validated area deprivation index (ADI), and 30-day rehospitalization.

DESIGN

Retrospective cohort study.

SETTING

United States.

PATIENTS

Random 5% national sample of Medicare patients discharged with congestive heart failure, pneumonia, or myocardial infarction between 2004 and 2009 (n = 255,744).

MEASUREMENTS

Medicare data were linked to 2000 census data to construct an ADI for each patient's census block group, which were then sorted into percentiles by increasing ADI. Relationships between neighborhood ADI grouping and 30-day rehospitalization were evaluated using multivariate logistic regression models, controlling for patient sociodemographic characteristics, comorbid conditions and severity, and index hospital characteristics.

RESULTS

The 30-day rehospitalization rate did not vary significantly across the least disadvantaged 85% of neighborhoods, which had an average rehospitalization rate of 21%. However, within the most disadvantaged 15% of neighborhoods, rehospitalization rates increased from 22% to 27% with worsening ADI. This relationship persisted after full adjustment, with the most disadvantaged neighborhoods having a rehospitalization risk (adjusted risk ratio, 1.09 [95% CI, 1.05 to 1.12]) similar to that of chronic pulmonary disease (adjusted risk ratio, 1.06 [CI, 1.04 to 1.08]) and greater than that of uncomplicated diabetes (adjusted risk ratio, 0.95 [CI, 0.94 to 0.97]).

LIMITATION

No direct markers of care quality or access.

CONCLUSION

Residence within a disadvantaged U.S. neighborhood is a rehospitalization predictor of magnitude similar to chronic pulmonary disease. Measures of neighborhood disadvantage, such as the ADI, could potentially be used to inform policy and care after hospital discharge.

PRIMARY FUNDING SOURCE

National Institute on Aging and University of Wisconsin School of Medicine and Public Health's Institute for Clinical and Translational Research and Health Innovation Program.

Neighborhood environment and urban African American marijuana use during high school

African American male high school students have the highest rates of marijuana use among all racial, ethnic, and gender groups, yet there is limited research examining contextual factors salient to the African American community. The purpose of this study was to examine how neighborhood environment measured in 8th grade is related to longitudinal transitions in marijuana use during high school (9th to 12th grades) in a sample of urban African Americans. Four hundred and fifty-two African American children were interviewed annually beginning in 1st grade as part of a longitudinal field study in Baltimore city. Latent transition analysis indicated early in high school posed the greatest risk for initiation and progression of marijuana use. Community violence exposure was associated with an increased likelihood of transitioning from no marijuana use to infrequent use (adjusted odds ratios (AOR) = 2.40, p < 0.001). Higher perceived neighborhood disorder (AOR = 3.20, p = 0.004), drug activity and sales in the neighborhood (AOR = 2.28, p = 0.028), and community violence exposure (AOR = 4.54, p < 0.001) were associated with an increased risk of transitioning from no use to frequent/problematic marijuana use. There was evidence for partial mediation of these associations by perceptions of harm and depressed mood. Drug activity and sales was associated with progression from infrequent to frequent and problematic use (AOR = 2.87, p = 0.029). African American youth living in urban environments with exposure to drug activity, violence, and neighborhood disorder are at increased risk for both initiation and progression to more frequent and problematic marijuana use during high school. These findings highlight the need to develop interventions for African American youth that are mindful of the impact of the additional stressors of living in a high-risk urban environment during a critical developmental transition period. Reducing exposure to drug activity and violence in high-risk urban neighborhoods may be the first step to potentially halt increasing rates of marijuana use among African Americans.

Social determinants of disparities in weight among US children and adolescents

PURPOSE

To explore whether contextual variables attenuate disparities in weight among 18,639 US children and adolescents aged 2 to 18 years participating in the National Health and Nutrition Examination Survey, 2001 to 2010.

METHODS

Disparities were assessed using the Symmetrized Rényi Index, a new measure that summarizes disparities in the severity of a disease, as well as the prevalence, across multiple population groups. Propensity score subclassification was used to ensure covariate balance between racial and ethnic subgroups and account for individual-level and contextual covariates.

RESULTS

Before propensity score subclassification, significant disparities were evident in the prevalence of overweight and/or obesity and the degree of excess weight among overweight/obese children and adolescents. After propensity score subclassification, racial/ethnic disparities in the prevalence and severity of excess weight were completely attenuated within matched groups, indicating that racial and ethnic differences were explained by social determinants such as neighborhood socioeconomic and demographic factors.

CONCLUSIONS

The limited overlap in covariate distributions between various racial/ethnic subgroups warrants further attention in disparities research. The attenuation of disparities within matched groups suggests that social determinants such as neighborhood socioeconomic factors may engender disparities in weight among US children and adolescents.

Neighborhood racial composition and trajectories of child self-rated health: an application of longitudinal propensity scores

Children function within multiple socio-environmental contexts including family, school, and neighborhood. The role each of these contexts play in determining well-being is dynamic and changes throughout early-middle childhood. Recent literature on neighborhood context and health suggests that the life-course processes involved in building trajectories of health are not adequately captured in cross-sectional analysis, which has been the empirical focus of much of the research in this area. In this study we use a nationally representative longitudinal sample of approximately 21,400 United States school children derived from the Early Childhood Longitudinal Study--Kindergarten Cohort (ECLS-K) survey to examine the impact of longitudinal measures of neighborhood racial composition on child self-rated health between kindergarten and 8th grade. We employ two-level multilevel longitudinal logistic regression models with time-varying propensity scores to examine variation in the initial status and trajectories of child self-rated health between kindergarten and 8th grade. Since the ECLS-K tracked child mobility over time, we are able to model the impact of changes in neighborhood racial composition. We find significant differences in initial poor self-rated health by child race, household socioeconomic status and parental marital status but no evidence of a change in trajectory of health over time. Using time-varying propensity scores, we find no effect of neighborhood racial composition on initial health status or health status trajectories.

Evidence of accelerated aging among African Americans and its implications for mortality

Blacks experience morbidity and mortality earlier in the life course compared to whites. Such premature declines in health may be indicative of an acceleration of the aging process. The current study uses data on 7644 black and white participants, ages 30 and above, from the third National Health and Nutrition Examination Survey, to compare the biological ages of blacks and whites as indicated from a combination of ten biomarkers and to determine if such differences in biological age relative to chronological age account for racial disparities in mortality. At a specified chronological age, blacks are approximately 3 years older biologically than whites. Differences in biological age between blacks and whites appear to increase up until ages 60-65 and then decline, presumably due to mortality selection. Finally, differences in biological age were found to completely account for higher levels of all-cause, cardiovascular and cancer mortality among blacks. Overall, these results suggest that being black is associated with significantly higher biological age at a given chronological age and that this is a pathway to early death both overall and from the major age-related diseases.

Redefining neighborhoods using common destinations: social characteristics of activity spaces and home census tracts compared

Research on neighborhood effects has focused largely on residential neighborhoods, but people are exposed to many other places in the course of their daily lives-at school, at work, when shopping, and so on. Thus, studies of residential neighborhoods consider only a subset of the social-spatial environment affecting individuals. In this article, we examine the characteristics of adults' "activity spaces"-spaces defined by locations that individuals visit regularly-in Los Angeles County, California. Using geographic information system (GIS) methods, we define activity spaces in two ways and estimate their socioeconomic characteristics. Our research has two goals. First, we determine whether residential neighborhoods represent the social conditions to which adults are exposed in the course of their regular activities. Second, we evaluate whether particular groups are exposed to a broader or narrower range of social contexts in the course of their daily activities. We find that activity spaces are substantially more heterogeneous in terms of key social characteristics, compared to residential neighborhoods. However, the characteristics of both home neighborhoods and activity spaces are closely associated with individual characteristics. Our results suggest that most people experience substantial segregation across the range of spaces in their daily lives, not just at home.

Metropolitan racial residential segregation and cardiovascular mortality: exploring pathways

Racial residential segregation has been associated with an increased risk for heart disease and stroke deaths. However, there has been little research into the role that candidate mediating pathways may play in the relationship between segregation and heart disease or stroke deaths. In this study, we examined the relationship between metropolitan statistical area (MSA)-level segregation and heart disease and stroke mortality rates, by age and race, and also estimated the effects of various educational, economic, social, and health-care indicators (which we refer to as pathways) on this relationship. We used Poisson mixed models to assess the relationship between the isolation index in 265 U.S. MSAs and county-level (heart disease, stroke) mortality rates. All models were stratified by race (non-Hispanic black, non-Hispanic white), age group (35-64 years, ≥ 65 years), and cause of death (heart disease, stroke). We included each potential pathway in the model separately to evaluate its effect on the segregation-mortality association. Among blacks, segregation was positively associated with heart disease mortality rates in both age groups but only with stroke mortality rates in the older age group. Among whites, segregation was marginally associated with heart disease mortality rates in the younger age group and was positively associated with heart disease mortality rates in the older age group. Three of the potential pathways we explored attenuated relationships between segregation and mortality rates among both blacks and whites: percentage of female-headed households, percentage of residents living in poverty, and median household income. Because the percentage of female-headed households can be seen as a proxy for the extent of social disorganization, our finding that it has the greatest attenuating effect on the relationship between racial segregation and heart disease and stroke mortality rates suggests that social disorganization may play a strong role in the elevated rates of heart disease and stroke found in racially segregated metropolitan areas.

Does neighborhood social capital buffer the effects of maternal depression on adolescent behavior problems?

Neighborhood characteristics have been shown to impact child well-being. However, it remains unclear how these factors combine with family characteristics to influence child development. The current study helps develop that understanding by investigating how neighborhoods directly impact child and adolescent behavior problems as well as moderate the influence of family characteristics on behavior. Using multilevel linear models, we examined the relationship among neighborhood conditions (poverty and social capital) and maternal depression on child and adolescent behavior problems. The sample included 741 children, age 5–11, and 564 adolescents, age 12–17. Outcomes were internalizing (e.g. anxious/depressed) and externalizing (e.g. aggressive/hyperactive) behavior problems. Neighborhood poverty and maternal depression were both positively associated with behavior problems for children and adolescents. However, while neighborhood social capital was not directly associated with behavior problems, the interaction of social capital and maternal depression was significantly related to behavior problems for adolescents. This interaction showed that living in neighborhoods with higher levels of social capital attenuated the relationship between maternal depression and adolescent behavior problems and confirmed the expectation that raising healthy well-adjusted children depends not only on the family, but also the context in which the family lives.

Do Social and Economic Policies Influence Health? A Review

Although social and economic policies are not considered part of health services infrastructure, such policies may influence health and disease by altering social determinants of health (SDH). We review social and economic policies in the US that have measured health outcomes among adults in four domains of SDH including housing and neighborhood, employment, family strengthening/marriage, and income supplementation. The majority of these policies target low-income populations. These social policies rarely consider health as their initial mission or outcomes. When measuring health, the programs document mental health and physical health benefits more than half the time, although some effects fade with time. We also find considerable segregation of program eligibility by gender and family composition. Policy makers should design future social policies to evaluate health outcomes using validated health measures; to target women more broadly across the socioeconomic spectrum; and to consider family caregiving responsibilities as ignoring them can have unintended health effects.

Less drinking, yet more problems: understanding African American drinking and related problems

Researchers have found that, compared to European Americans, African Americans report later initiation of drinking, lower rates of use, and lower levels of use across almost all age groups. Nevertheless, African Americans also have higher levels of alcohol problems than European Americans. After reviewing current data regarding these trends, we provide a theory to understand this apparent paradox as well as to understand variability in risk among African Americans. Certain factors appear to operate as both protective factors against heavy use and risk factors for negative consequences from use. For example, African American culture is characterized by norms against heavy alcohol use or intoxication, which protects against heavy use but also provides within-group social disapproval when use does occur. African Americans are more likely to encounter legal problems from drinking than European Americans, even at the same levels of consumption, perhaps thus resulting in reduced consumption but more problems from consumption. There appears to be one particular group of African Americans, low-income African American men, who are at the highest risk for alcoholism and related problems. We theorize that this effect is due to the complex interaction of residential discrimination, racism, age of drinking, and lack of available standard life reinforcers (e.g., stable employment and financial stability). Further empirical research will be needed to test our theories and otherwise move this important field forward. A focus on within-group variation in drinking patterns and problems is necessary. We suggest several new avenues of inquiry.

Neighbourhood economic deprivation explains racial/ethnic disparities in overweight and obesity among children and adolescents in the U.S.A

BACKGROUND

Low-income and some racial and ethnic subpopulations are more likely to suffer from obesity. Inequities in the physical and social environment may contribute to disparities in paediatric obesity, but there is little empirical evidence to date. This study explored whether neighbourhood-level socioeconomic factors attenuate racial and ethnic disparities in obesity among youth in the U.S.A. and whether individual-level socioeconomic status (SES) interacts with neighbourhood deprivation.

METHODS

This analysis used data from 17,100 youth ages 2-18 years participating in the 2001-2010 National Health and Nutrition Examination Survey linked to census tract-level socioeconomic characteristics. Multilevel logistic regression models were used to examine neighbourhood deprivation in association with odds of obesity (age-specific and sex-specific body mass index percentile ≥95).

RESULTS

The unadjusted prevalence of obesity was 15% among non-Hispanic white children and 21% among non-Hispanic black and Mexican-American children. Adjustment for individual-level SES neighbourhood deprivation and the interaction between these two factors resulted in a 74% attenuation of the disparity in obesity between non-Hispanic black and non-Hispanic white children and a 49% attenuation of the disparity between Mexican-American and non-Hispanic white children. There was a significant interaction between individual-level SES and neighbourhood deprivation where higher individual-level income was protective for children living in low-deprivation neighbourhoods, but not for children who lived in high-deprivation areas. Conversely, area deprivation was associated with higher odds of obesity, but only among children who were above the poverty threshold.

CONCLUSIONS

Future research on disparities in obesity and other health outcomes should examine broader contextual factors and social determinants of inequities.

Racial/ethnic minority and low-income hotspots and their geographic proximity to integrated care providers

Background

The high prevalence of mental health issues among clients attending substance abuse treatment (SAT) has pressured treatment providers to develop integrated substance abuse and mental health care. However, access to integrated care is limited to certain communities. Racial and ethnic minority and low-income communities may not have access to needed integrated care in large urban areas. Because the main principle of health care reform is to expand health insurance to low-income individuals to improve access to care and reduce health disparities among minorities, it is necessary to understand the extent to which integrated care is geographically accessible in minority and low-income communities.

Methods

National Survey of Substance Abuse Treatment Services data from 2010 were used to examine geographic availability of facilities offering integration of mental health services in SAT programs in Los Angeles County, California. Using geographic information systems (GIS), service areas were constructed for each facility (N = 402 facilities; 104 offering integrated services) representing the surrounding area within a 10-minute drive. Spatial autocorrelation analyses were used to derive hot spots (or clusters) of census tracts with high concentrations of African American, Asian, Latino, and low-income households. Access to integrated care was reflected by the hot spot coverage of each facility, i.e., the proportion of its service area that overlapped with each type of hot spot.

Results

GIS analysis suggested that ethnic and low-income communities have limited access to facilities offering integrated care; only one fourth of SAT providers offered integrated care. Regression analysis showed facilities whose service areas overlapped more with Latino hot spots were less likely to offer integrated care, as well as a potential interaction effect between Latino and high-poverty hot spots.

Conclusion

Despite significant pressure to enhance access to integrated services, ethnic and racial minority communities are disadvantaged in terms of proximity to this type of care. These findings can inform health care policy to increase geographic access to integrated care for the increasing number of clients with public health insurance.

Neighborhood Effects, Mental Illness and Criminal Behavior: A Review

This paper briefly reviews the social science on “neighborhood effects” as an independent force in shaping poor outcomes, specifically mental illness and criminal behavior, before discussing the implications of that research for understanding the relationship between neighborhoods, race and class. Neighborhood effects research has proliferated in recent years with extensive attention again being focused on the social context of family and individual development and life course. Moreover, recent work has suggested the need to consider the developmental effects of neighborhoods that persist across life-span. This paper will focus specifically on mental illness and criminal behavior as outcomes for understanding neighborhood effects, but will also consider what the structural causes of individual behavior and functioning mean for clinical assessment, especially forensic assessment.

Pregnant and moving: understanding residential mobility during pregnancy and in the first year of life using a prospective birth cohort

To examine residential mobility (i.e., moving) during pregnancy and in the first year of an infant's life using a large, prospective birth cohort in Rhode Island. Participants were recruited from Women and Infants Hospital of Rhode Island between January 5, 2009 and March 19, 2009. Residential histories were collected from mothers in-person immediately post-partum and by phone at 7 months and at 13 months post-partum. Of 1,040 mothers interviewed at birth, 71% (n = 740) completed the 13 month follow-up interview. Forty-one percent of mothers (n = 300) moved at least once between conception and 1 year post-partum, with the number of moves ranging from 0 to 8. Among movers, 69.0% moved once, 21.0% moved twice, and 10.0% moved three or more times. Mothers who moved tended to be younger, have fewer children, were not White, and had lower household incomes than those who did not move. Mothers who moved during pregnancy had 2.05 (95% CI: 1.40-2.98) times the odds of moving post-partum than mothers who had not moved in the antenatal period. There were statistical differences across socio-demographic groups with regard to when, where, and why mothers moved. Forty percent of movers during pregnancy (n = 61) moved for at least one negative reason, while 32.2% of movers during infancy (n = 64) relocated under negative circumstances. A substantial proportion of mothers moved pre- and post-partum, frequently under negative circumstances. Study findings have important implications for obstetric and pediatric providers who seek to understand, retain, and improve the health of their patient populations.

Future research directions for understanding neighborhood contributions to health disparities

This paper proposes several promising future directions for neighborhood research to address health inequalities. First, there is a need to apply a Geography of Opportunity framework to understand how vast spatial (neighborhood, regional) inequality translates into health inequality. Such a framework highlights inequality that unfolds across an entire region, as well as the continuing significance of race/ethnicity for producing disparities in health and in the social determinants of health. The Geography of Opportunity framework also points to some of the methodological limitations of current neighborhood-health studies, given the structure of neighborhood racial inequality in the US for estimating how important neighborhoods are for producing racial health disparities. Second, there is a need to incorporate life-course concepts, data, and methods, including to model residential histories, neighborhood temporal change and residential mobility, starting early in life. A life-course focus would help inform when in life neighborhoods matter most for health and health inequalities, as well as improve exposure assessment of residential contexts. Third, we must model mechanisms linking neighborhoods and health, including the role of individual and household socioeconomic status. Lastly, we need to more meaningfully integrate social determinants of health, including drawing on policy evaluations that aim to improve neighborhood environments or that aim to expand household neighborhood choice. Doing so would inform how specific modifiable neighborhood exposures stimulated by policy may influence health and health disparities.

Invited commentary: integrating a life-course perspective and social theory to advance research on residential segregation and health

Research on racial residential segregation and health typically uses multilevel, population-based, slice-in-time data. Although research using this approach, including that by Kershaw et al. (Am J Epidemiol. 2013;177(4):299-309), has been valuable, I argue that to advance our understanding of how residential segregation influences health and health disparities, it is critical to incorporate a life-course perspective and integrate social theory. Applying a life-course perspective would entail modeling transitions, cumulative risk, and developmental and dynamic processes and mechanisms, as well as recognizing the contingency of contextual effects on different social groups. I discuss the need for analytic methods appropriate for modeling health effects of distal causes experienced across the life course, such as segregation, that operate through multiple levels and sequences of mediators, potentially across decades. Sociological theories of neighborhood attainment (e.g., segmented assimilation, ethnic resurgence, and place stratification theories) can guide effect-modification tests to help illuminate health effects resulting from intersections of residential processes, race/ethnicity, immigration, and other social determinants of health. For example, nativity and immigration history may crucially shape residential processes and exposures, but these have received limited attention in prior segregation-health literature.

Explaining racial disparities in infant health in Brazil

OBJECTIVES

We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.

METHODS

We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or African mixed with other ancestries, and European ancestry alone. We used a decomposition model to quantify the contributions of conceptually relevant factors to these disparities.

RESULTS

The model explained 45% to 94% of LBW and 64% to 94% of PTB disparities between the African ancestry groups and European ancestry. Differences in prenatal care use and geographic location were the most important contributors, followed by socioeconomic differences. The model explained the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.

CONCLUSIONS

Public policies to improve children's health should target prenatal care and geographic location differences to reduce health disparities between infants of African and European ancestries in Brazil.

Future directions in research on institutional and interpersonal discrimination and children's health

Research evidence indicates that 2 forms of racial discrimination-perceived interpersonal discrimination and racial/ethnic residential segregation (a form of institutional discrimination)-may influence children's health and disparities. Although research on these 2 forms of discrimination and health has primarily focused on adults, smaller bodies of work have documented that perceived interpersonal discrimination and segregation have a negative effect on infants' health, and that perceived interpersonal discrimination may negatively affect children's mental health. Three directions for research are (1) incorporating a life-course perspective into studies of discrimination and children's health, (2) linking residential segregation with geography-of-opportunity conceptual frameworks and measures, and (3) considering residential segregation along with segregation in other contexts that influence children's health (e.g., schools).