Studies Of Neighborhood Effects Research Articles

Racial Residential Segregation and the Health of Black Youth With Type 1 Diabetes.

Black youth with type 1 diabetes (T1D) are at heightened risk for suboptimal glycemic control. Studies of neighborhood effects on the health of youth with T1D are limited. The current study investigated the effects of racial residential segregation on the diabetes health of young Black adolescents with T1D. A total of 148 participants were recruited from 7 pediatric diabetes clinics in 2 US cities. Racial residential segregation (RRS) was calculated at the census block group level based on US Census data. Diabetes management was measured via self-report questionnaire. Hemoglobin A1c (HbA1c) information was gathered from participants during home-based data collection. Hierarchical linear regression was used to test the effects of RRS while controlling for family income, youth age, insulin delivery method (insulin pump versus syringe therapy), and neighborhood adversity. HbA1c was significantly associated with RRS in bivariate analyses, whereas youth-reported diabetes management was not. In hierarchical regression analyses, whereas family income, age, and insulin delivery method were all significantly associated with HbA1c in model 1, only RRS, age, and insulin delivery method were significantly associated with HbA1c in model 2. Model 2 explained 25% of the variance in HbA1c (P = .001). RRS was associated with glycemic control in a sample of Black youth with T1D and accounted for variance in HbA1c even after controlling for adverse neighborhood conditions. Policies to reduce residential segregation, along with improved screening for neighborhood-level risk, hold the potential to improve the health of a vulnerable population of youth.

Contextual poverty and obtained educational level and income in Sweden and the Netherlands: A multi-scale and longitudinal study

Studies of neighbourhood effects typically measure the neighbourhood context at one specific spatial scale. It is increasingly acknowledged, however, that the mechanisms through which the residential context affects individual outcomes may operate at different spatial scales, ranging from the very immediate environment to the metropolitan region. We take a multi-scale approach to investigate the extent to which concentrated poverty in adolescence is related to obtained education level and income later in life, by measuring the residential context as bespoke neighbourhoods at five geographical scales that range from areas encompassing the 200 nearest neighbours to areas that include the 200k+ nearest neighbours. We use individual-level geocoded longitudinal register data from Sweden and the Netherlands to follow 15/16-year-olds until they are 30 years old. The findings show that the contextual effects on education are very similar in both countries. Living in a poor area as a teenager is related to a lower obtained educational level when people are in their late 20s. This relationship, however, is stronger for lower spatial scales. We also find effects of contextual poverty on income in both countries. Overall, this effect is stronger in the Netherlands than in Sweden. Partly, this is related to differences in spatial structure. If only individuals in densely populated areas in Sweden are considered, effects on income are similar across the two countries and income effects are more stable across spatial scales. Overall, we find important evidence that the scalar properties of neighbourhood effects differ across life-course outcomes.

Neighbourhood histories and educational attainment: The role of accumulation, duration, timing and sequencing of exposure to poverty

Studies of neighbourhood effects increasingly research the neighbourhood histories of individuals. It is difficult to compare the outcomes of these studies as they all use different datasets, conceptualisations and operationalisations of neighbourhood characteristics and outcome variables. This paper contributes to the literature by studying educational attainment and comparing the effects of the timing, accumulation, duration and sequencing of exposure to neighbourhood poverty. We use longitudinal register data to study the population of children born in the Netherlands in 1995 and follow them until the age of 23. Our findings show that it is important to separate the early adult years (age 18–22) when constructing individual histories of exposure to neighbourhood poverty. We find that the effect of exposure to neighbourhood deprivation on educational attainment during adolescence is slightly stronger than the effect of exposure during childhood. We conclude that the observed relationship between neighbourhood poverty and educational attainment depends on how exposure to the neighbourhood effect is conceptualised and measured; choosing just one dimension could lead to under- or overestimation of the importance of exposure to neighbourhood poverty.

Did the UK COVID-19 Lockdown Modify the Influence of Neighbourhood Disorder on Psychological Distress? Evidence From a Prospective Cohort Study.

Background: National lockdown in the UK during the COVID-19 pandemic severely restricted the mobility of residents and increased time spent in their residential neighbourhoods. This is a unique opportunity to understand how an exogenous factor that reduces mobility may influence the association between neighbourhood social environment and mental health. This study investigates whether the COVID-19 lockdown may modify the effect of neighbourhood disorder on psychological distress.Methods: We tracked changes in psychological distress, using the UK household longitudinal survey across the pre-COVID and lockdown periods in 16,535 adults. Neighbourhood disorder was measured along two subscales: social stressors and property crime. Fixed-effects regression was used to evaluate whether the widespread reduction in mobility modifies the association between the subscales of neighbourhood disorder and psychological distress.Results: The effect of neighbourhood social stressors on psychological distress was stronger in the lockdown period compared to the pre-COVID period. Compared to the pre-COVID period, the effect of being in neighbourhoods with the highest social stressors (compared to the lowest) on psychological distress increased by 20% during the lockdown. Meanwhile, the effect of neighbourhood property crime on mental health did not change during the lockdown.Conclusion: The sudden loss of mobility as a result of COVID-19 lockdown is a unique opportunity to address the endogeneity problem as it relates to mobility and locational preferences in the study of neighbourhood effects on health. Vulnerable groups who have limited mobility are likely more sensitive to neighbourhood social stressors compared to the general population.

Cardiometabolic Profiles and Change in Neighborhood Food and Built Environment Among Older Adults: A Natural Experiment.

The association between neighborhood environment and health may be biased due to confounding by residential self-selection. The displacement of disaster victims can act as a natural experiment that exposes residents to neighborhood environments they did not select, allowing for the study of neighborhood effects on health. We leveraged data from a cohort of older adults 65 years of age or older living in Iwanuma, Japan, located 80 km west of the 2011 Great East Japan Earthquake and Tsunami. Surveys were conducted 7 months before the disaster, as well as 2.5 and 5.5 years afterward, and linked with medical records. We classified each individual's type of exposure to neighborhood environment based on proximity to local food and recreation destinations and walkability. Fixed-effect models indicated that change in the exposure type from low to high urban density was associated with increased body mass index (0.46 kg/m; 95% confidence interval [CI] = 0.20, 0.73), waist circumference (1.8 cm; 95% CI = 0.56, 3.0), low-density lipoprotein cholesterol (11 mg/dl; 95% CI = 5.0, 17), and decreased high-density lipoprotein cholesterol (-3.1 mg/dl; 95% CI = -5.0, -1.3). We observed similar trends when we analyzed only the individuals who experienced postdisaster relocation to temporary homes. Increased proximity to food outlets was simultaneously correlated with greater walkability and accessibility to recreational destinations; however, any protective association of physical activity-promoting built environment appeared to be offset by proximity to unhealthy food outlets, especially fast-food restaurants and bars.

Neighborhood characteristics and transport walking: Exploring multiple pathways of influence using a structural equation modeling approach

In studies of neighborhood effects on transport walking, residential preferences along with other personal characteristics (walking attitude, factors that affect decision to walk for transport) are important factors to consider. However, few studies have examined relationships between neighborhood characteristics and transport walking accounting for a complex suite of personal factors. This study employed a structural equation modeling approach to examine associations between neighborhood characteristics and transport walking behaviors by accounting for residential preferences, self-assessed factors that affect decision to walk for transportation, and socio-demographics; and to examine whether neighborhood effects were modified by walking attitude and residential preferences. Based on a cross-sectional phone and mail survey of 2848 residents of New York City, Baltimore, Chicago, Los Angeles, St. Paul, and Winston Salem in 2011–12, we found neighborhood characteristics had significant independent associations with transport walking, even after adjusting for residential preferences and other personal factors. Neighborhood effects on transport walking did not differ significantly by walking attitude or residential preferences. Our findings highlight the importance of neighborhood effects in promoting transport walking, and suggest that while residential preferences are important factors, they do not obviate the neighborhood effects on transport walking.

NEIGHBORHOOD SOCIAL ENVIRONMENT AND PHYSICAL FUNCTION: EVIDENCE OF RACIAL AND ETHNIC DIFFERENCES

Empirical and theoretical scholarship suggest that as individuals age and their physical, cognitive, and social needs change, their neighborhood environment becomes increasingly important to their health and well-being. Despite recent advances in this area of research, a number of critical gaps remain. Namely, few studies examine the associations between neighborhood social environments and performance-based physical function. Furthermore, racial and ethnic differences are widely understudied. The objectives of this study are (1) to examine the association between neighborhood social cohesion and physical disorder on physical function in older adults, and (2) to identify potential racial/ethnic differences in these associations. Data come from round five (collected in 2015) of the National Health and Aging Trends Study (NHATS; N=5,619). A series of adjusted linear regression models were used to predict performance-based physical function based on characteristics of the neighborhood social environment (i.e., cohesion, disorder). Results showed that only neighborhood physical disorder was statistically significantly associated with poorer physical function (p < 0.05). Similarly, when stratified by race/ethnicity, only neighborhood physical disorder was associated with poorer physical function in Whites (p < 0.05). There was no significant association for either neighborhood social environment characteristic and physical function for Black or Hispanic older adults. Racial and ethnic differences warrant closer investigation in studies of neighborhood effects on health. Community-level interventions, policy makers, and researchers should consider the interactions between minority membership and neighborhood social environments when addressing issues of health and physical function.

Segregation and individual employment: a longitudinal study of neighborhood effects

In this article, we study whether individuals who reside in segregated neighborhoods in Sweden have lower propensity to be employed. We employ full population micro-data, which allow us to follow the same group of individuals over 21 years and make it possible to apply an individual fixed effects strategy to reduce issues of self-selection and individual heterogeneity. The results show that individuals in segregated neighborhoods are less likely to be employed compared to individuals living in non-segregated neighborhoods. This observation is most significant in metropolitan regions. Furthermore, the relationship appears to be particularly attributed to males of foreign background. However, it is not the spatial separation between immigrants and natives that lies behind the negative relationship between segregation and employment, but rather the distress of neighborhoods.

Activity spaces in place and health research: Novel exposure measures, data collection tools, and designs.

Activity space research provides a framework to consider mobility while linking environments to behaviors in the study of neighborhood effects on health. Increased use of wearable location sensors provides new opportunities to observe and analyze fine-grained spatial and temporal information on individuals' mobility patterns, environmental exposures and behaviors; however, these analysis does not easily translate into causal inference. Additional dimensions underlying behavioral decision-making likely influence or even modify environmental effects on behaviors. This commentary discusses how further progresses in exposure measurement, integration of data collection tools, and development of study designs could support future interventions to optimize how environments shape health profiles and inequities.

Incorporating Neighborhood Choice in a Model of Neighborhood Effects on Income

Studies of neighborhood effects often attempt to identify causal effects of neighborhood characteristics on individual outcomes, such as income, education, employment, and health. However, selection looms large in this line of research, and it has been argued that estimates of neighborhood effects are biased because people nonrandomly select into neighborhoods based on their preferences, income, and the availability of alternative housing. We propose a two-step framework to disentangle selection processes in the relationship between neighborhood deprivation and earnings. We model neighborhood selection using a conditional logit model, from which we derive correction terms. Driven by the recognition that most households prefer certain types of neighborhoods rather than specific areas, we employ a principle components analysis to reduce these terms into eight correction components. We use these to adjust parameter estimates from a model of subsequent neighborhood effects on individual income for the unequal probability that a household chooses to live in a particular type of neighborhood. We apply this technique to administrative data from the Netherlands. After we adjust for the differential sorting of households into certain types of neighborhoods, the effect of neighborhood income on individual income diminishes but remains significant. These results further emphasize that researchers need to be attuned to the role of selection bias when assessing the role of neighborhood effects on individual outcomes. Perhaps more importantly, the persistent effect of neighborhood deprivation on subsequent earnings suggests that neighborhood effects reflect more than the shared characteristics of neighborhood residents: place of residence partially determines economic well-being.

Incorporating Neighbourhood Choice in a Model of Neighbourhood Effects on Income

Studies of neighbourhood effects often attempt to identify causal effects of neighbourhood characteristics on individual outcomes, such as income, education, employment, and health. However, selection looms large in this line of research and it has been repeatedly argued that estimates of neighbourhood effects are biased as people non-randomly select into neighbourhoods based on their preferences, income, and the availability of alternative housing. We propose a two-step framework to help disentangle selection processes in the relationship between neighbourhood deprivation and earnings. We first model neighbourhood selection using a discrete choice framework and derive correction components to adjust parameter estimates in a subsequent neighbourhood effects model for the unequal probability that an individual 'chooses' to live in a particular area. Applying this technique to administrative data from the Netherlands, we find significant interactions between personal and neighbourhood characteristics in the selection model. This confirms individual differences in neighbourhood preferences; individuals non-randomly select into neighbourhoods. The baseline neighbourhood effects model reveals a significant effect of average neighbourhood income on individual income. When we include correction components for the differential sorting of individuals into specific neighbourhoods, the effect of neighbourhood income diminishes, but remains significant. These results suggest that researchers need to be attuned to the role of selection bias when assessing the role of neighbourhood effects on individual outcomes. Perhaps more importantly, the strong, persistent effect of neighbourhood deprivation on subsequent earnings suggests that neighbourhood effects reflect more than the shared characteristics of neighbourhood residents; place of residence partially determines economic well-being.

Spatializing Area-Based Measures of Neighborhood Characteristics for Multilevel Regression Analyses: An Areal Median Filtering Approach

Area-based measures of neighborhood characteristics simply derived from enumeration units (e.g., census tracts or block groups) ignore the potential of spatial spillover effects, and thus incorporating such measures into multilevel regression models may underestimate the neighborhood effects on health. To overcome this limitation, we describe the concept and method of areal median filtering to spatialize area-based measures of neighborhood characteristics for multilevel regression analyses. The areal median filtering approach provides a means to specify or formulate "neighborhoods" as meaningful geographic entities by removing enumeration unit boundaries as the absolute barriers and by pooling information from the neighboring enumeration units. This spatializing process takes into account for the potential of spatial spillover effects and also converts aspatial measures of neighborhood characteristics into spatial measures. From a conceptual and methodological standpoint, incorporating the derived spatial measures into multilevel regression analyses allows us to more accurately examine the relationships between neighborhood characteristics and health. To promote and set the stage for informative research in the future, we provide a few important conceptual and methodological remarks, and discuss possible applications, inherent limitations, and practical solutions for using the areal median filtering approach in the study of neighborhood effects on health.

Neighbourhood Effects: Lost in Transition?

Abstract The study of neighbourhood effects has become a major domain in urban research since the publication of Wilson’s book The Truly Disadvantaged in 1987. It is estimated that more than 1,800 articles have been published (van Ham et al. 2012). One of the problems well-known from multilevel analysis is that of specifying the context effects linking levels, e.g., conditions on the aggregate level to outcomes at the next lower level, individuals in most cases. Two problems seem insufficiently solved. First., many different context effects have been suggested, such as contagion, role models or discrimination: but it is questionable whether they are all relevant. Second, how exactly can the transition from the macro (e.g., neighbourhood) to the micro (e.g., individual) level be specified? The article addresses both problems by examining the assumptions underlying the effects. Differentiating between causes and outcomes, the diversity of effects is reduced to five types of effects. Mechanisms are defined as specifications of context effects, and for each type a mechanism is specified and the causes are related to the outcomes. Drawing on the results of the analyses, a detailed set of suggestions for future studies of neighbourhood effects that really capture the mechanisms is presented.

Lingering neighbourhood effects: A framework to account for residential histories and temporal dynamics

The large and growing body of neighbourhood effect studies has almost exclusively neglected individuals’ particular residential histories. Yet, former residential neighbourhoods are likely to have lingering effects beyond those of the current one and are dependent on exposure times and number of moves. This paper tests to what extent this blind spot induced a misestimation of neighbourhood effects for individuals with differential residential histories. Ultimately, we develop a methodological framework for studying the temporal dynamics of neighbourhood effects, capable of dealing with residential histories (moving behaviour, the passage of time and temporal exposure to different neighbourhoods). We apply cross-classified multi-level models (residents nested in current and former neighbourhoods) to analyse longitudinal individual-level population data from Dutch Statistics, covering fine-grained measures of residential histories. Our systematic comparison to conventional models reveals the necessity of including a temporal dimension: our models reveal an overestimation of the effect of the current neighbourhood by 16–30%, and an underestimation of the total body of neighbourhood effects by at least 13–24%. Our results show that neighbourhood effects are lingering, long-lasting and structural and also cannot be confined to a single point in time.

Multi-scalar residential context and recovery from illness: An analysis using Swedish register data

The aim of this paper is to analyse if recovery from ill-health is influenced by geographical context using a multi-scalar approach to context measurement and Swedish longitudinal register-based data on sickness benefit recipiency as an indicator of onset of and recovery from illness. Our sample consists of individuals that have stayed healthy and in work for a three-year period (2000–2002) and then falls ill during the fourth year (2003), some of who recover to good health in the fifth year (2004). The results show that in areas with above-average percentages of people receiving sickness-benefit there is a reduced probability of recovery. In contrast, high levels of employment in the neighbourhood and in the local area have a positive effect on the chances of recovery. These contextual effects are statistically significant but relatively weak in comparison to the influence of individual level factors such as age, sex, marital status, and income. Our conclusion is that individualised scalable neighbourhoods constitute a potentially valuable addition to the toolbox used in neighbourhood effect studies.

How Places Shape Identity: The Origins of Distinctive LBQ Identities in Four Small U.S. Cities.

Tools from the study of neighborhood effects, place distinction, and regional identity are employed in an ethnography of four small cities with growing populations of lesbian, bisexual, and queer-identified (LBQ) women to explain why orientations to sexual identity are relatively constant within each site, despite informants' within-city demographic heterogeneity, but vary substantially across the sites, despite common place-based attributes. The author introduces the concept of "sexual identity cultures"--and reveals the defining role of cities in shaping their contours. She finds that LBQ numbers and acceptance, place narratives, and newcomers' encounters with local social attributes serve as touchstones. The article looks beyond major categorical differences (e.g., urban/rural) to understand how and why identities evolve and vary and to reveal the fundamental interplay of demographic, cultural, and other city features previously thought isolatable. The findings challenge notions of identity as fixed and emphasize the degree to which self-understanding and group understanding remain collective accomplishments.

Selective mobility, segregation and neighbourhood effects

Selective mobility, segregation and neighbourhood effects

Selective mobility, segregation and neighbourhood effects

Selective mobility, segregation and neighbourhood effects

Selective mobility, segregation and neighbourhood effects

Selective mobility, segregation and neighbourhood effects

Do the effects of adolescent employment differ by employment intensity and neighborhood context?

Research on the effects of adolescent employment on primarily middle-class youth suggests that intense employment, working more than 15 or 20 hours during the school year, is associated with increased participation in risky behavior. Despite these findings, scholars who focus on the development of youth living in low-income urban areas often hypothesize that adolescent employment will have beneficial effects on this population. There is some evidence that adolescent employment is associated with increased educational achievement and adult employment for low-income urban youth. The impact of adolescent employment on future engagement in risky behavior across levels of neighborhood deprivation and employment intensity was investigated on a sample of 1,057 adolescents from the Project on Human Development in Chicago Neighborhoods, a longitudinal study of neighborhood effects on development. After controlling for individual characteristics, intense employment during adolescence did predict increased use of cigarettes and alcohol and having a greater number of sexual partners 2years after employment was measured. There were no significant interactions between neighborhood SES and adolescent employment status on involvement in risky behavior. These findings suggest that intense adolescent employment is associated with detrimental developmental outcomes for youth regardless neighborhood context.