Individual versus neighborhood socioeconomic status and race as predictors of adolescent ambulatory blood pressure and heart rate

Socioeconomic status (SES) disparities are linked to increased cardiovascular disease risk. Although typically considered an individual or family indicator, SES alternatively can be derived from neighborhood characteristics. Previous research has found both family and neighborhood SES predict laboratory blood pressure responses in youth. The question remains as to whether this SES gradient predicts blood pressure during daily living situations. We evaluated individual versus neighborhood SES and race as predictors of ambulatory blood pressure and heart rate. Participants were recruited from two schools in Pittsburgh, diverse in terms of both race and SES. Adolescents' (N=212, 14.5 years, 50% black) cardiovascular responses were measured at school and home. Individual (parent education, household income) and neighborhood SES indices (derived from 78 census tracts: percentage with high school degree or less, percentage below poverty) were assessed. A neighborhood index of race based on the proportion of blacks in the census tract was also derived as a counterpart to individuals' race. Multi-level modeling indicated neighborhood income predicted systolic blood pressure. Individual race predicted diastolic blood pressure. Individual income and education, and neighborhood race each predicted heart rate. These results have important public health implications as they suggest individual and neighborhood SES and race are linked to cardiovascular risk disparities as early as adolescence.     

Poverty,affluence, and income inequality: neighborhood economic structure and its implications for health

In this paper, we attempt to verify that neighborhood economic structure influences individual health over and above other individual characteristics, and to comparatively evaluate the effects of neighborhood concentrated affluence, concentrated poverty and income inequality in relation to individual health in the USA. We also explore physical environment, health-enhancing services, social hazards (crime) and social resources as mechanisms operating at the neighborhood level that may help to explain the influence of structural economic conditions on health. We use Hierarchical Ordinal Logit Models to examine a rich multi-level data set. Results indicate that affluence exerts significant contextual effects on self-rated health while poverty and income inequality at the neighborhood level are not important structural factors. Moreover, we find that a composite measure of social resources distinguishes itself in both explaining the impact of concentrated affluence and exerting an independent contextual effect on individual health. Physical environment, or the level of physical disorder in the neighborhood, also mediates the effect of affluence on self-rated health, although to a lesser degree than social resources. Our empirical findings suggest that different dimensions of economic structure do not in fact have unique and additive contributions to individual health; the presence of affluent residents is essential to sustain neighborhood social organization which in turn positively affect health.     

Race and ethnic differences in determinants of preterm birth in the USA: broadening the social context

Preterm births occur in 9.7% of all US singleton births. The rate for blacks is double that of whites and the rate is 25% higher for Hispanics than for whites. While a number of individual correlates with preterm birth have been identified, race and ethnic differences have not been fully explained. Influenced by a growing body of literature documenting a relationship among health, individual income, and neighborhood disadvantage, researchers interested in explaining racial differences in preterm birth are designing studies that extend beyond the individual. No studies of adverse birth outcomes have considered contextual effects beyond the neighborhood level. Only a handful of studies, comparing blacks and whites, have evaluated the influence of neighborhood disadvantage on preterm birth. This study examines how preterm birth among blacks, whites and Hispanics is influenced by social context, broadly defined to include measures of neighborhood disadvantage and cumulative exposure to state-level income inequality, controlling for individual risk factors. Neighborhood disadvantage is determined by Census tract data. Cumulative exposure to income inequality is measured by the fraction of the mother's life since age 14 spent residing in states with a state-level Gini coefficient above the median. The results for neighborhood disadvantage are highly sensitive across race/ethnicities to the measure used. We find evidence that neighborhood poverty rates and housing vacancy rates increased the rate of very preterm birth and decreased the rate of moderately preterm birth for blacks. The rate of very preterm increased with the fraction of female-headed households for Hispanics and decreased with the fraction of people employed in professional occupations for whites. We find direct effects of cumulative exposure to income inequality only for Hispanics. However, we do find indirect effects of context broadly defined on behaviors that increased the risk of preterm birth.     

A Case Study of Middle School Food Policy and Persisting Barriers to Healthful Eating

Decreasing access to competitive foods in schools has produced only modest effects on adolescents’ eating patterns. This qualitative case study investigated persistent barriers to healthful eating among students attending an ethnically diverse middle school in a working-class urban neighborhood that had banned on campus competitive food sales. Participant observations, semi-structured interviews and document reviews were conducted. Unappealing school lunches and easily accessible unhealthful foods, combined with peer and family influences, increased the appeal of unhealthy foods. Areas for further inquiry into strategies to improve urban middle school students’ school and neighborhood food environments are discussed.     

Neighborhood physical activity opportunities for inner-city children and youth

The purpose of this study was to assess perceived physical activity (PA) opportunities and barriers for inner-city youth. Data were collected via interviews with 59 children, 8 school staff, and 13 youth workers plus objective neighborhood data. Analyses revealed three themes that influenced PA: neighborhood characteristics, family involvement, and adult-supervised programs. The neighborhood was highly walkable and multiple play spaces were available, but safety concerns restricted access. Children were rarely allowed out alone, but family accompaniment facilitated PA. Organized programs provided adult-supervised PA, but programs faced staffing problems that served to limit the provision of PA opportunities. Multiple ecological factors constrain or enable PA among inner-city youth.     

Health disparities in mid-to-late life: the role of earlier life family and neighborhood socioeconomic conditions

The relationship between neighborhoods of residence in young adulthood and health in mid-to-late life in the United States are examined using the 1968-2005 waves of the Panel Study of Income Dynamics (PSID). The sample consists of persons who were aged 20-30 in 1968 and are followed for a period of 38 years (N=2730). Four-level hierarchical random effects models of self-assessed general health status as a function of individual, family, and neighborhood factors are estimated. Using the original sampling design of the PSID, we analyze adult health trajectories of married couples and neighbors followed from young adulthood through elderly ages to assess the magnitudes of the possible causal effects of family and neighborhood characteristics in young adulthood on health in mid-to-late life. Estimates suggest disparities in neighborhood conditions in young adulthood account for one-quarter of the variation in mid-to-late life health. Living in poor neighborhoods during young adulthood is strongly associated with negative health outcomes in later-life. This result is robust even in the presence of a reasonably large amount of potential unobservable individual and family factors that may significantly affect both neighborhood of residence and subsequent health status. Racial differences in health status in mid-to-late life are also associated with family and neighborhood socioeconomic conditions earlier in life. Three quarters of the black-white gap in health status at ages over 55 can be accounted for by differences in childhood socioeconomic status and neighborhood and family factors in young adulthood.     

Families,Urban Neighborhood Youth Centers,and Peers as Contexts for Development

Abstract: Three social contexts—family, neighborhood youth centers, and peer relationships—were examined in relation to several measures of adjustment among 1,406 mostly minority, inner‐city adolescents. Family and center involvement were directly related to 3 of the 4 adjustment measures (i.e., achievement orientation, emotion regulation, attitudes toward school). Peer connections interacted with family and center involvement to also predict these variables. Substance use, the fourth adjustment measure, was related only to family involvement. Significant 3‐way interactions suggested that within urban settings, favorable attitudes toward school may best be achieved when family, neighborhood youth center, and peer involvement are all strong. The combined effects of these 3 contexts appear to be greater among younger adolescents. Implications for promoting urban youth development programs are discussed.     

The effect of income inequality on the health of selected US demographic groups

OBJECTIVES: This study assessed whether documented effects of income inequality on health are consistent across demographic subgroups of the US population. METHODS: Data from the National Health Interview Survey on White and Black non-Hispanics were used. Logistic regression models were estimated with SUDAAN software. Perceived health was the outcome variable. RESULTS: The results of the multivariate analysis, in which individual family income and county-level poverty rates were included, were not consistent with existing research. In the presence of covariates, the conditional effects of inequality were restricted to Whites aged 18-44 years in the 2 highest income inequality quartiles and middle-aged Whites in counties with the highest level of income inequality. The health of Blacks of all ages, elderly Whites, and middle-aged Whites outside of the areas of highest inequality was unaffected when controls for individual characteristics and county-level poverty were in place. CONCLUSIONS: For the United States, the independent and direct contribution of income inequality to the determination of self-perceived health net of individual income and county income levels is restricted to certain demographic groups.     

Going upstream: Social inequality and children's health

This study explores the impact of income inequality on the health of children. We examine the direct effects of income inequality and the mediating effects of income inequality via poverty concentration at local levels. We use a multilevel study design incorporating individual level data from the 1988 Child Health Supplement to the National Health Interview Survey supplemented with aggregate data from the 1990 Census of Population STF3A economic/ demographic files. Measures of income inequality are constructed at the county level and poverty concentration at the county and neighbourhood level. Multiple indicators are used to examine child health including physiologic, functional status, and psychological measures and behavior and school problems. The association between income inequality and child health was examined using logistic regression models. Direct effects of income inequality were observed for school suspension and indirect effects for chronic conditions, learning disabilities, emotional and behavior problems, school suspension, health status and seeing a counsellor/psychiatrist. To assess whether income inequality works through challenging the integrity of local economic institutions, we also examine whether inequality and poverty concentration at the neighbourhood level or the larger administrative unit influence children's access to health insurance. Income inequality was found to exert both a direct and an indirect effect on children's health insurance status. These findings specifically provide evidence of the effects of income inequality on children's health, and more generally demonstrate that higher level contextual factors need to be incorporated into research in order to enhance our understanding of the determinants of children's health.     

Aggregation and the measurement of income inequality: effects on morbidity

This is a cross-sectional study using records from the National Health Interview Survey linked to Census geography. The sample is restricted to white males ages 25-64 in the United States from three years (1989-1991) of the National Health Interview Survey. Perceived health is used to measure morbidity. Individual covariates include income-to-needs ratio, education and occupation. Contextual level measures of income inequality, median household income and percent in poverty are constructed at the US census county and tract level. The association between inequality and morbidity is examined using logistic regression models. Income inequality is found to exert an independent adverse effect on self-rated health at the county level, controlling for individual socioeconomic status and median income or percent poverty in the county. This corresponding effect at the tract level is reduced. Median income or percent poverty and individual socioeconomic status are the dominant correlates of perceived health status at the tract level. These results suggest that the level of geographic aggregation influences the pathways through which income inequality is actualized into an individuals' morbidity risk. At higher levels of aggregation there are independent effects of income inequality, while at lower levels of aggregation, income inequality is mediated by the neighborhood consequences of income inequality and individual processes.     

Heavy Alcohol Use and Dating Violence Perpetration During Adolescence: Family, Peer and Neighborhood Violence as Moderators

We examined the hypothesis that family, peer and neighborhood violence would moderate relations between heavy alcohol use and adolescent dating violence perpetration such that relations would be stronger for teens in violent contexts. Random coefficients growth models were used to examine the main and interaction effects of heavy alcohol use and four measures of violence (family violence, friend dating violence, friend peer violence and neighborhood violence) on levels of physical dating violence perpetration across grades 8 through 12. The effects of heavy alcohol use on dating violence tended to diminish over time and were stronger in the spring than in the fall semesters. Consistent with hypotheses, across all grades, relations between heavy alcohol use and dating violence were stronger for teens exposed to higher levels of family violence and friend dating violence. However, neither friend peer violence nor neighborhood violence moderated relations between alcohol use and dating violence. Taken together, findings suggest that as adolescents grow older, individual and contextual moderators may play an increasingly important role in explaining individual differences in relations between alcohol use and dating violence. Implications for the design and evaluation of dating abuse prevention programs are discussed.     

Factors affecting the choice of hospital-based ambulatory care by the urban poor.

This study of patients in the outpatient department at an urban hospital revealed that almost all could have reached a neighborhood center in less time and only a small number came to the hospital rather than a neighborhood center out of medical necessity. When the patients were asked about their willingness to obtain treatment at a neighborhood center, 48 per cent were willing, 52 per cent were not. These responses did not vary by demographic or medical characteristics but rather by the patients' stated priorities regarding medical care. Eighty per cent of those willing to change sites stressed convenience of access as a first priority compared with only 17 per ccent of those not willing to change. Emphasis on quality of care (45 per cent) or on familarity with the site (37 per cent) distinguished the group not willing to change. The findings suggest that successful efforts to persuade patients to utilize a neighborhood center must base their appeal on patients' individual priorities.     

Social and behavioral determinants of self-reported STD among adolescents

CONTEXT: Adolescents have among the highest sexually transmitted disease (STD) rates. Rich data are now available to characterize the social and behavioral factors that affect adolescent STD risk. METHODS: Data from Wave 1 (1995) of the National Longitudinal Study of Adolescent Health (Add Health) are used to estimate school, neighborhood, family and individual level effects on acquiring an STD. Data from Waves 1 and 2 (1996) of Add Health are also used to estimate the effects of prior STD acquisition and other factors on STD occurrence between waves. Random intercept logistic regression and random intercept piecewise exponential hazard regression are used to account for possible clustering in the Add Health data. RESULTS: Seven percent of sexually experienced teenagers reported ever having had an STD as of Wave 1, and almost 7% reported having had an STD between Waves 1 and 2. Respondents' age, gender, race or ethnicity, and their family background, neighborhood and school characteristics affect STD acquisition at Wave 1. Among teenagers who were sexually experienced at Wave 1, younger age at first intercourse elevates STD risk. Other factors contribute, but to a lesser degree. For acquisition of an STD between Waves 1 and 2, females, blacks, teenagers with lower levels of mother's education and those who have had a prior STD are at higher risk. CONCLUSIONS: Multiple social and behavioral factors influence lifetime history of STD. Age at first intercourse and STD history affect subsequent STD acquisition. Self-reports of STD acquisition in probability samples of the general population are useful.     

Risky Trade: Individual and Neighborhood-Level Socio-Demographics Associated with Transactional Sex among Urban African American MSM

There is a clear, persistent association between poverty and HIV risk and HIV infection. Low educational attainment, neighborhood disadvantage, and residential instability are ways in which poverty is instrumentally experienced in urban America. We investigated the role of lived poverty at both the individual and neighborhood levels in transactional sex behavior among African American men who have sex with men (MSM) residing in urban neighborhoods. Using population-averaged models estimated by generalized estimating equation (GEE) models, we identified individual-level and neighborhood-level factors that are associated with exchanging sex for drugs and/or money. We tested the association between neighborhood and individual-level socioeconomic status and HIV risk behavior by combining area-based measures of neighborhood quality from the US Census with individual survey data from 542 low-income African American MSM. The primary outcome measure was self-reported transactional sex defined as exchanging sex for drugs or money. Individual-level covariates included high school non-completion, income, and problem drug use. Neighborhood-level covariates were high school non-completion and poverty rates. The findings suggested that educational attainment is associated with both the individual level and neighborhood level. Participants were more likely to engage in transactional sex if they did not complete high school (OR = 1.78), and similarly if their neighbors did not complete high school (OR = 7.70). These findings suggest potential leverage points for both community-level interventions and advocacy for this population, particularly related to transactional sex and education, and will aid HIV prevention efforts that seek to address the contextual constraints on individual risk behavior.     

Protective Family Factors in the Context of Neighborhood: Promoting Positive School Outcomes

Abstract: Three developmental contexts—school, neighborhood, and family—influence school outcomes. The focus of the current investigation was on the promotive role of 4 family factors—family satisfaction, family support, family integration, and home academic culture—on 3 school outcomes. These outcomes included student self‐reported sense of school coherence, avoidance of problem behavior, and academic performance. Utilizing a hierarchical linear modeling strategy and a national probability sample, the family protective factors of interest displayed a significant but differential pattern of impact on the 3 school outcomes studied. Findings related to neighborhood and school factors, as well as race/ethnicity, are also reported and discussed. The implications of these findings with respect to practice and policy are addressed.     

A Longitudinal Study of Youth Assets,Neighborhood Conditions,and Youth Sexual Behaviors

PurposeTo prospectively determine whether individual, family, and community assets help youth to delay initiation of sexual intercourse (ISI); and for youth who do initiate intercourse, to use birth control and avoid pregnancy. The potential influence of neighborhood conditions was also investigated.MethodsThe Youth Asset Study was a 4-year longitudinal study involving 1,089 youth (mean age = 14.2 years, standard deviation = 1.6; 53% female; 40% white, 28% Hispanic, 23% African American, 9% other race) and their parents. Participants were living in randomly selected census tracts. We accomplished recruitment via door-to-door canvassing. We interviewed one youth and one parent from each household annually. We assessed 17 youth assets (e.g., responsible choices, family communication) believed to influence behavior at multiple levels via in-person interviews methodology. Trained raters who conducted annual windshield tours assessed neighborhood conditions.ResultsCox proportional hazard or marginal logistic regression modeling indicated that 11 assets (e.g., family communication, school connectedness) were significantly associated with reduced risk for ISI; seven assets (e.g., educational aspirations for the future, responsible choices) were significantly associated with increased use of birth control at last sex; and 10 assets (e.g., family communication, school connectedness) were significantly associated with reduced risk for pregnancy. Total asset score was significantly associated with all three outcomes. Positive neighborhood conditions were significantly associated with increased birth control use, but not with ISI or pregnancy.ConclusionsProgramming to strengthen youth assets may be a promising strategy for reducing youth sexual risk behaviors.     

Maternal and child health and neighborhood context: the selection and construction of area-level variables

BACKGROUND: Increasingly, maternal and child health researchers are employing the statistical approach of multilevel modeling analysis to simultaneously examine the relationship between contextual and individual determinants and maternal and child health outcomes. This review addresses the following questions: (1) What categories of neighborhood characteristics have been addressed? (2) How were those neighborhood characteristics operationalized? METHODS: A literature review identified 31 relevant articles published between January 1999 and March 2004. The articles were read with special attention toward the measurement of neighborhood characteristics. RESULTS: Twelve categories of neighborhood characteristics represented in the articles include income/wealth, employment, family structure, population composition, housing, mobility, education, occupation, social resources, violence and crime, deviant behavior and physical conditions. A wide diversity of approaches was used to measure these characteristics. The most widely utilized source of data was that of administrative records from the census or local government authorities. Although most authors provided theoretical explanations of their choice to examine broad neighborhood constructs, few were explicit about why certain indicators were selected to measure these constructs. CONCLUSIONS: There are theoretical, methodological and practical barriers in the measurement of the neighborhood context which must be addressed for the field to move forward. These barriers are discussed and recommendations are made for addressing them in future research.     

Is Exposure to Income Inequality a Public Health Concern? Lagged Effects of Income Inequality on Individual and Population Health

Objective. To examine the health consequences of exposure to income inequality.
Data Sources. Secondary analysis employing data from several publicly available sources. Measures of individual health status and other individual characteristics are obtained from the March Current Population Survey (CPS). State-level income inequality is measured by the Gini coefficient based on family income, as reported by the U.S. Census Bureau and Al-Samarrie and Miller (1967) . State-level mortality rates are from the Vital Statistics of the United States ; other state-level characteristics are from U.S. census data as reported in the Statistical Abstract of the United States .
Study Design. We examine the effects of state-level income inequality lagged from 5 to 29 years on individual health by estimating probit models of poor/fair health status for samples of adults aged 25–74 in the 1995 through 1999 March CPS. We control for several individual characteristics, including educational attainment and household income, as well as regional fixed effects. We use multivariate regression to estimate the effects of income inequality lagged 10 and 20 years on state-level mortality rates for 1990, 1980, 1970, and 1960.
Principal Findings. Lagged income inequality is not significantly associated with individual health status after controlling for regional fixed effects. Lagged income inequality is not associated with all cause mortality, but associated with reduced mortality from cardiovascular disease and malignant neoplasms, after controlling for state fixed-effects.
Conclusions. In contrast to previous studies that fail to control for regional variations in health outcomes, we find little support for the contention that exposure to income inequality is detrimental to either individual or population health.     

The Joint Effects of Neighborhoods,Schools, Peers,and Families on Changes in the School Success of Middle School Students*

Abstract: Longitudinal self‐report data from 4,071 students are used to examine the degree to which students’ perceptions of their social environments (people and places) are associated with changes in 3 school success outcomes: school engagement, trouble avoidance, and grades. Specific variable dimensions within the neighborhood, peer, and family domains had significant effects on one or more of these school outcomes. Implications of the findings for further research and intervention practice are discussed, including the availability of a Web‐based resource for linking these findings with evidence‐based intervention and prevention strategies.     

Contextual Risk Profiles and Trajectories of Adolescent Dating Violence Perpetration

Social ecological and developmental system perspectives suggest that interactions among factors within and across multiple contexts (e.g., neighborhood, peer, family) must be considered in explaining dating violence perpetration. Yet, to date, most extant research on dating violence has focused on individual, rather than contextual predictors, and used variable-centered approaches that fail to capture the configurations of factors that may jointly explain involvement in dating violence. The current study used a person-centered approach, latent profile analysis, to identify key configurations (or profiles) of contextual risk and protective factors for dating violence perpetration across the neighborhood, school, friend and family contexts. We then examine the longitudinal associations between these contextual risk profiles, assessed during middle school, and trajectories of psychological and physical dating violence perpetration across grades 8 through 12. Five contextual risk profiles were identified: school, neighborhood, and family risk; school and family risk; school and friend risk; school and neighborhood risk; and low risk. The highest levels of psychological and physical perpetration across grades 8 through 12 were among adolescents in the profile characterized by high levels of school, neighborhood, and family risk. Results suggest that early interventions to reduce violence exposure and increase social regulation across multiple social contexts may be effective in reducing dating violence perpetration across adolescence.