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OBJECTIVES: We analyzed neighborhood heterogeneity in associations among mortality, race/ethnicity, and area poverty. METHODS: We performed a multilevel statistical analysis of Massachusetts all-cause mortality data for the period 1989 through 1991 (n=142836 deaths), modeled as 79813 cells (deaths and denominators cross-tabulated by age, gender, and race/ethnicity) at level 1 nested within 5532 block groups at level 2 within 1307 census tracts (CTs) at level 3. We also characterized CTs by percentage of the population living below poverty level. RESULTS: Neighborhood variation in mortality across CTs and block groups was not accounted for by these areas' age, gender, and racial/ethnic composition. Neighborhood variation in mortality was much greater for the Black population than for the White population, largely because of CT-level variation in poverty rates. CONCLUSIONS: Neighborhood heterogeneity in the relationship between mortality and race/ethnicity in Massachusetts is statistically significant and is closely related to CT-level variation in poverty. [ABSTRACT FROM AUTHOR]

Use of multilevel frameworks and area-based socioeconomic measures (ABSMs) for public health monitoring can potentially overcome the absence of socioeconomic data in most US public health surveillance systems. To assess whether ABSMs can meaningfully be used for diverse race/ethnicity-gender groups, we geocoded and linked public health surveillance data from Massachusetts and Rhode Island to 1990 block group, tract, and zip code ABSMs. Outcomes comprised death, birth, cancer incidence, tuberculosis, sexually transmitted infections, childhood lead poisoning, and nonfatal weapons-related injuries. Among White, Black, and Hispanic women and men, measures of economic deprivation (e.g., percentage below poverty) were most sensitive to expected socioeconomic gradients in health, with the most consistent results and maximal geocoding linkage evident for tract-level analyses. [ABSTRACT FROM AUTHOR]

The authors examine the research evidence on the effect of residential segregation on health, identify research gaps, and propose new research directions. Four recommendations are made on the basis of a review of the sociological and social epidemiology literature on residential segregation: (1) develop multilevel research designs to examine the effects of individual, neighborhood, and metropolitan-area factors on health outcomes; (2) continue examining the health effects of residential segregation among African Americans but also initiate studies examining segregation among Hispanics and Asians; (3) consider racial/ethnic segregation along with income segregation and other metropolitan area factors such as poverty concentration and metropolitan governance fragmentation; and (4) develop better conceptual frameworks of the pathways that may link various segregation dimensions to specific health outcomes. [ABSTRACT FROM AUTHOR]

Objectives: To determine the extent to which opioid prescribing rates vary across US congressional districts., Methods: In an observational cross-sectional framework using secondary data, we constructed 2016 congressional district-level opioid prescribing rate estimates using a population-weighted methodology., Results: High prescribing rate districts were concentrated in the South, Appalachia, and the rural West. Low-rate districts were concentrated in urban centers., Conclusions: In the midst of an opioid overdose crisis, we identified congressional districts of particular concern for opioid prescription saturation. Public Health Implications. The congressional district geography represents a policy-relevant boundary and a politically important level at which to monitor the crisis and determine program funding. Furthermore, in the context of the opioid crisis, knowing how congressional districts rank across the country and in states is useful in the creation of policies targeted to areas in need.

Objectives: We analyzed the likelihood of rural children (aged 6-24 months) being stunted according to whether they were enrolled in Mutuelles, a community-based health-financing program providing health insurance to rural populations and granting them access to health care, including nutrition services., Methods: We retrieved health facility data from the District Health System Strengthening Tool and calculated the percentage of rural health centers that provided nutrition-related services required by Mutuelles' minimum service package. We used data from the 2010 Rwanda Demographic and Health Survey and performed multilevel logistic analysis to control for clustering effects and sociodemographic characteristics. The final sample was 1061 children., Results: Among 384 rural health centers, more than 90% conducted nutrition-related campaigns and malnutrition screening for children. Regardless of poverty status, the risk of being stunted was significantly lower (odds ratio = 0.60; 95% credible interval = 0.41, 0.83) for Mutuelles enrollees. This finding was robust to various model specifications (adjusted for Mutuelles enrollment, poverty status, other variables) or estimation methods (fixed and random effects)., Conclusions: This study provides evidence of the effectiveness of Mutuelles in improving child nutrition status and supported the hypothesis about the role of Mutuelles in expanding medical and nutritional care coverage for children.

Objectives: We examined whether racial/ethnic disparities in the United States increased over time., Methods: We analyzed data from 3 868 956 adults across the United States from the Behavioral Risk Factor Surveillance System from 1999 to 2011. We used random intercepts models (individuals nested in states) to examine racial/ethnic disparities and time trends in asthma lifetime and its current prevalence, adjusted for covariates. We also investigated the heterogeneity in asthma prevalence by ethnicity of the major zone of residence., Results: Lifetime and current asthma prevalence were higher among non-Hispanic Black populations, with time trends highlighting increasing differences over time (b = 0.0078; 95% confidence interval [CI] = 0.0043, 0.0106). Lower odds ratios (ORs) of asthma were noted for Hispanic populations (OR = 0.74; 95% CI = 0.73, 0.76). Hispanics in states with more Puerto Rican residents reported greater risks of asthma (OR = 1.55; 95% CI = 1.24, 1.93) compared with Hispanics in states with larger numbers of Mexican or other ethnicities., Conclusions: Disparities in asthma prevalence by racial/ethnic groups increased in the last decade, with non-Hispanic Blacks and Puerto Rican Hispanics at greater risk. Interventions targeting asthma treatments need to recognize racial, ethnic, and geographic disparities.

Objectives: Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents., Methods: Analyzing data from wave 1 (1994-1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to examine between-level variation and individual-, school-, and neighborhood-level predictors of adolescent depressive symptoms. Also, we compared the results of our cross-classified multilevel models (CCMMs) with those of a multilevel model wherein either school or neighborhood was excluded., Results: In CCMMs, the school-level random effect was significant and more than 3 times the neighborhood-level random effect, even after individual-level characteristics had been taken into account. Individual-level indicators (e.g., race/ethnicity, socioeconomic status) were associated with depressive symptoms, but there was no association with either school- or neighborhood-level fixed effects. The between-level variance in depressive symptoms was driven largely by schools as opposed to neighborhoods., Conclusions: Schools appear to be more salient than neighborhoods in explaining variation in depressive symptoms. Future work incorporating cross-classified multilevel modeling is needed to understand the relative effects of schools and neighborhoods.

Objectives: We assessed the extent to which living near foreclosed properties is associated with individuals' subsequent weight gain., Methods: We linked health and address information on 2068 Framingham Offspring Cohort members (7830 assessments) across 5 waves (1987-2008) to records of all Massachusetts foreclosures during that period. We used counts of lender-owned foreclosed properties within 100 meters of participants' homes to predict body mass index (BMI; defined as weight in kilograms divided by the square of height in meters) and the odds of being overweight (BMI ≥ 25), adjusted for individual and area-level covariates., Results: Mean BMI increased from 26.6 in 1987-1991 to 28.5 in 2005-2008; overweight prevalence increased from 59.0% to 71.3%. Foreclosures were within 100 meters of 159 (7.8%) participants' homes on 187 occasions (1.8%), in 42 municipalities (21%). For each additional foreclosure, BMI increased by 0.20 units (95% confidence interval [CI] = 0.03, 0.36), and the odds ratio for being overweight associated with proximity to a foreclosure was 1.77 (95% CI = 1.02, 3.05)., Conclusions: We found a robust association between living near foreclosures and BMI, suggesting that neighbors' foreclosures may spur weight gain.

Objectives: We examined the association between neighborhood incarceration rate and asthma prevalence and morbidity among New York City adults., Methods: We used multilevel modeling techniques and data from the New York City Community Health Survey (2004) to analyze the association between neighborhood incarceration rate and asthma prevalence, adjusting for individual-level sociodemographic, behavioral, and environmental characteristics. We examined interactions between neighborhood incarceration rate, respondent incarceration history, and race/ethnicity., Results: The mean neighborhood rate of incarceration was 5.4% (range = 2.1%-12.8%). Neighborhood incarceration rate was associated with individual-level asthma prevalence (odds ratio [OR] = 1.06; 95% confidence interval [CI] = 1.03, 1.10) in unadjusted models but not after adjustment for sociodemographic characteristics (OR = 1.01; 95% CI = 0.98, 1.04). This association did not differ according to respondent race/ethnicity., Conclusions: Among New York City adults, the association between neighborhood incarceration rate and asthma prevalence is explained by the sociodemographic composition of neighborhoods and disparities in asthma prevalence at the individual level. Public health practitioners should further engage with criminal justice professionals and correctional health care providers to target asthma outreach efforts toward both correctional facilities and neighborhoods with high rates of incarceration.

Objectives: We examined whether social norms toward spousal violence in Nigeria, at the state level, are associated with a woman's exposure to physical and sexual violence perpetrated by her husband., Methods: Using data from the 2008 Demographic and Health Survey, we fit four 3-level random intercepts models to examine contextual factors associated with spousal violence while accounting for individual-level predictors., Results: Of the 18,798 ever-married Nigerian women in our sample, 18.7% reported exposure to spousal sexual or physical violence. The prevalence was geographically patterned by state and ranged from 3% to 50%. Permissive state-level social norms toward spousal violence were positively associated with a woman's report of physical and sexual violence perpetrated by her husband (odds ratio [OR] = 1.80; 95% confidence interval [CI] = 1.17, 2.77), after adjusting for individual-level characteristics. A number of individual-level variables were significantly associated with victimization, including a woman's accepting beliefs toward spousal violence (OR = 1.11; 95% CI = 1.09, 1.14). Women living in states with Sharia law were less likely to report spousal violence (OR = 0.58; 95% CI = 0.35, 0.95)., Conclusions: Efforts to end violence against women, particularly spousal violence, should consider broader social and contextual determinants of violence including social norms.

Objectives: We examined the association between workplace social capital and all-cause mortality in a large occupational cohort from Finland., Methods: We linked responses of 28 043 participants to surveys in 2000 to 2002 and in 2004 to national mortality registers through 2009. We used repeated measurements of self- and coworker-assessed social capital. We carried out Cox proportional hazard and fixed-effects logistic regressions., Results: During the 5-year follow-up, 196 employees died. A 1-unit increase in the mean of repeat measurements of self-assessed workplace social capital (range 1-5) was associated with a 19% decrease in the risk of all-cause mortality (age- and gender-adjusted hazard ratio [HR] = 0.81; 95% confidence interval [CI] = 0.66, 0.99). The corresponding point estimate for the mean of coworker-assessed social capital was similar, although the association was less precisely estimated (age- and gender-adjusted HR = 0.77; 95% CI = 0.50, 1.20). In fixed-effects analysis, a 1-unit increase in self-assessed social capital across the 2 time points was associated with a lower mortality risk (odds ratio = 0.81; 95% CI = 0.55, 1.19)., Conclusions: Workplace social capital appears to be associated with lowered mortality in the working-aged population.

Personal freedoms have been characterized as "positive" (freedom to pursue opportunities) and "negative" (freedom from external constraints on decision making). An ecological analysis of US data revealed a strong positive association (r = 0.41; P = .003) between state-level negative personal freedom (defined in terms of regulation of personal behavior) and state-level age-adjusted rates of unintentional injury. A conceptual emphasis on positive freedom construed as freedom to pursue a life without risk of unintentional injury could help motivate a conversation to improve public health.

Objectives: We examined whether social processes of neighborhoods, such as collective efficacy, during individual's adolescent years affect the likelihood of being involved in physical dating violence during young adulthood., Methods: Using longitudinal data on 633 urban youths aged 13 to 19 years at baseline and data from their neighborhoods (collected by the Project on Human Development in Chicago Neighborhoods), we ran multilevel linear regression models separately by gender to assess the association between collective efficacy and physical dating violence victimization and perpetration, controlling for individual covariates, neighborhood poverty, and perceived neighborhood violence., Results: Females were significantly more likely than were males to be perpetrators of dating violence during young adulthood (38% vs 19%). Multilevel analyses revealed some variation in dating violence at the neighborhood level, partly accounted for by collective efficacy. Collective efficacy was predictive of victimization for males but not females after control for confounders; it was marginally associated with perpetration (P=.07). The effects of collective efficacy varied by neighborhood poverty. Finally, a significant proportion (intraclass correlation=14%-21%) of the neighborhood-level variation in male perpetration remained unexplained after modeling., Conclusions: Community-level strategies may be useful in preventing dating violence.

Objectives: We assessed the relative contribution of Hispanic ethnicity, country of origin, and nativity to lifetime prevalence of asthma among mothers and children enrolled in the Project on Human Development in Chicago Neighborhoods., Methods: We used multilevel models to analyze data from wave 3 of the Project on Human Development in Chicago Neighborhoods study (2000 to 2001). Mothers reported physician-diagnosed asthma for themselves and their children. Maternal race, ethnicity, country of origin, and nativity were the predictors of interest., Results: We found substantial heterogeneity in lifetime asthma within Hispanic subgroups for mothers and children. Hispanics of non-Mexican origin had greater odds of having asthma than did non-Hispanic Whites; respondents of Mexican origin did not differ from non-Hispanic Whites. Odds of experiencing asthma were more strongly related to nativity than to race, Hispanic ethnicity, or country of origin. Only immigrant Mexicans reported asthma prevalence lower than that of native non-Hispanic Whites., Conclusions: Nativity is a strong predictor of lifetime asthma prevalence, suggesting the importance of potential interactions between genetic susceptibilities and environmental factors in both the native and the host countries.

We investigated the relative importance of sociodemographic factors and psychiatric disorders for smoking among 453 pregnant women in the National Epidemiological Survey on Alcohol and Related Conditions. Women with less than a high school education and those with current-year nicotine dependence had the highest risk of smoking (90.5%), compared with women with a college degree and without nicotine dependence (3.9%). More effective and accessible interventions for nicotine dependence among pregnant smokers are needed.

Objectives: We examined the role of women's education and proximate educational context on intimate partner violence (IPV)., Methods: We examined a sample of 83627 married women aged 15 to 49 years from the 1998 to 1999 Indian National Family Health Survey. We used multilevel multiple logistic regression modeling to estimate the relative effect of women's and their husband's levels of education, spousal education differential, and community-level literacy on women's risk of recent and lifetime IPV., Results: In adjusted models, odds of recent IPV among women without any education were 5.61 times (95% confidence interval [CI] = 3.53, 8.92) those of college-educated women, and odds among wives of uneducated men were 1.84 times (95% CI=1.44, 2.35) those of wives of college-educated men. Women with more education than their husbands were more likely than those with educational parity to report recent IPV (odds ratio [OR]=1.18; 95% CI=1.05, 1.33). The results were similar for lifetime IPV. After we controlled for individual factors, as community male and female literacy levels increased, likelihood of IPV declined., Conclusions: Although increasing women's levels of education is crucial to reducing IPV for women, proximate educational context is also an important factor in reducing this public health burden.

Limited research has examined the association of diet with immigrant status, adjusting for multiple socio-demographic and contextual influences. Among 662 WIC-eligible postpartum women, those who were foreign-born and had lived in the United States for 4 or fewer years consumed 2.5 more fruit and vegetable servings daily than native-born women; this difference diminished with longer US residence. White women consumed 1 serving less than Latinas, and those speaking both English and Spanish at home consumed 1.4 servings more than English-only speakers after adjusting for other covariates.

We compared all-cause mortality rates stratified by individual-level education and by census tract area-based socioeconomic measures for Massachusetts (1999-2001). Among persons aged 25 and older, the age-adjusted relative index of inequality was slightly higher for the census tract than for the individual education measures (1.5 vs 1.2, respectively). Only the census tract socioeconomic measures could provide a relative index of inequality (2-3) for deaths before age 25 or detect expected socioeconomic disparities for deaths among persons 65 and older (relative index of inequality= approximately 1.2 vs 0.8 for census tract measures and individual education, respectively).

Objectives: Botswana has one of the world's highest HIV-prevalence rates and the world's highest percentages of orphaned children among its population. We assessed the ability of income-earning households in Botswana to adequately care for orphans., Methods: We used data from the Botswana Family Health Needs Study (2002), a sample of 1033 working adults with caregiving responsibilities who used public services, to assess whether households with orphan-care responsibilities encountered financial and other difficulties. Thirty-seven percent of respondents provided orphan care, usually to extended family members. We applied logistic regression models to determine the factors associated with experiencing problems related to orphan caregiving., Results: Nearly half of working households with orphan-care responsibilities reported experiencing financial and other difficulties because of orphan care. Issues of concern included caring for multiple orphans, caring for sick adults and orphans simultaneously, receiving no assistance, and low income., Conclusions: The orphan crisis is impoverishing even working households, where caregivers lack sufficient resources to provide basic needs. Neither the public sector nor communities provide adequate safety nets. International assistance is critical to build capacity within the social welfare infrastructure and to fund community-level activities that support households. Lessons from Botswana's orphan crisis can provide valuable insights to policymakers throughout sub-Saharan Africa.

Objectives: We investigated the contributions of gender, caste, and standard of living to inequalities in mortality across the life course in India., Methods: We conducted a multilevel cross-sectional analysis of individual mortality, using the 1998-1999 Indian National Family Health Survey data for 529321 individuals from 26 states., Results: Substantial mortality differentials were observed between the lowest and highest standard-of-living quintiles across all age groups, ranging from an odds ratio (OR) of 4.61 (95% confidence interval [CI]=2.98, 7.13) in the age group 2 to 5 years to an OR of 1.97 (95% CI=1.68, 2.32) in the age group 45 to 64 years. Excess mortality for girls was evident only for the age group 2 to 5 years (OR=1.33, 95% CI=1.13, 1.58). Substantial caste differentials were observed at the beginning and end stages of life. Area variation in mortality is partially a result of the compositional effects of household standard of living and caste., Conclusions: The mortality burden, across the life course in India, falls disproportionately on economically disadvantaged and lower-caste groups. Residual state-level variation in mortality suggests an underlying ecology to the mortality divide in India.

Objectives: We describe a method to facilitate routine monitoring of socioeconomic health disparities in the United States., Methods: We analyzed geocoded public health surveillance data including events from birth to death (c. 1990) linked to 1990 census tract (CT) poverty data for Massachusetts and Rhode Island., Results: For virtually all outcomes, risk increased with CT poverty, and when we adjusted for CT poverty racial/ethnic disparities were substantially reduced. For half the outcomes, more than 50% of cases would not have occurred if population rates equaled those of persons in the least impoverished CTs. In the early 1990s, persons in the least impoverished CT were the only group meeting Healthy People 2000 objectives a decade ahead., Conclusions: Geocoding and use of the CT poverty measure permit routine monitoring of US socioeconomic inequalities in health, using a common and accessible metric.

Objectives: We carried out analyses of smoking in relation to poverty and child care responsibility among women aged 18-54 years residing in the United States., Methods: With data from the Behavioral Risk Factor Surveillance System, we assessed the interaction effects of poverty and living with young children on maternal smoking behavior among 61,700 women aged 18-54 years in 4 different racial/ethnic groups., Results: For non-White racial/ethnic groups, the prevalence of smoking among women with small children in the household was lower than that among women without small children. However, White women were more likely to smoke if they were poor and living with small children (odds ratio=1.14, 95% confidence interval=1.03, 1.26)., Conclusions: These results suggest that child care responsibility confers an increased risk of smoking among low-income White women.

Use of multilevel frameworks and area-based socioeconomic measures (ABSMs) for public health monitoring can potentially overcome the absence of socioeconomic data in most US public health surveillance systems. To assess whether ABSMs can meaningfully be used for diverse race/ethnicity-gender groups, we geocoded and linked public health surveillance data from Massachusetts and Rhode Island to 1990 block group, tract, and zip code ABSMs. Outcomes comprised death, birth, cancer incidence, tuberculosis, sexually transmitted infections, childhood lead poisoning, and nonfatal weapons-related injuries. Among White, Black, and Hispanic women and men, measures of economic deprivation (e.g., percentage below poverty) were most sensitive to expected socioeconomic gradients in health, with the most consistent results and maximal geocoding linkage evident for tract-level analyses.

The authors examine the research evidence on the effect of residential segregation on health, identify research gaps, and propose new research directions. Four recommendations are made on the basis of a review of the sociological and social epidemiology literature on residential segregation: (1) develop multilevel research designs to examine the effects of individual, neighborhood, and metropolitan-area factors on health outcomes; (2) continue examining the health effects of residential segregation among African Americans but also initiate studies examining segregation among Hispanics and Asians; (3) consider racial/ethnic segregation along with income segregation and other metropolitan area factors such as poverty concentration and metropolitan governance fragmentation; and (4) develop better conceptual frameworks of the pathways that may link various segregation dimensions to specific health outcomes.