Processing difficulty while reading words with neighbors is not due to increased foveal load: Evidence from eye movements

Words with high orthographic relatedness are termed "word neighbors" (angle/angel; birch/birth). Activation-based models of word recognition assume that lateral inhibition occurs between words and their activated neighbors. However, studies of eye movements during reading have not found inhibitory effects in early measures assumed to reflect lexical access (e.g., gaze duration). Instead, inhibition in eye-movement studies has been found in later measures of processing (e.g., total time, regressions in). We conducted an eye-movement boundary change study (Rayner, Cognitive Psychology, 7(1), 65-81, 1975) that manipulated the parafoveal preview of the word following the neighbor word (word N+1). In this way, we explored whether the late inhibitory effects seen with transposed letter words and words with higher-frequency neighbors result from reduced parafoveal preview due to increased foveal load and/or interference during late stages of lexical processing (the L2 stage within the E-Z Reader framework). For word N+1, while there were clear preview effects, there was not an effect of the neighborhood status of word N, nor a significant interaction. This suggests that the late inhibitory effects of earlier eye-movement studies are driven by misidentification of neighbor words rather than being due to increased foveal load.

Neighborhood effects on the health of elderly persons: evidence from China

BACKGROUND

Presently, global aging has become increasingly serious, whereas the health concerns brought by aging have become a public issue that warrants an urgent solution from all countries across the world. Therefore, this research paper discusses the influence of neighborhood health on elderly individuals' health, and extending a realistic basis for the other economies to improve the neighborhood environment and promote the health of the elderly.

METHODS

Based on the data of CHARLS2018, this research paper adopts the samples that fulfill the study requirements (N = 7326). we constructed a comprehensive research framework integrating oprobit regression model, heterogeneity analysis, conditional mixed process(CMP)robustness testing, Furthermore, the KHB decomposition method is implemented to ascertain the influential mechanism of NMH and NPH on the mental- and physical health of elderly persons.

RESULTS

The oprobit regression model analysis indicates that NMH 0.434 and NPH 0.550 exert positive influences on the elderly's mental- and physical health. Meanwhile, the effects of conditional mixed process on NMH and NPH stand at 0.381 and4.372, which are different from the oprobit regression results; thereby, indicating the existence of endogeneity. Afterward, KHB mediating effect confirms that Internet use, gift reciprocity, and charity activity contribute 30.21% and 16.83% to mental- and physical health, respectively.

CONCLUSIONS

Firstly, the NMH and NPH demonstrate a positive influence on the mental- and physical health of the elder population. However, there exist heterogeneous differences. Secondly, the conditional mixed process deals with the endogeneity of NMH and NPH. Thirdly, social integration, social interaction, and social engagement serve as significant transmission mechanisms for the influences of NMH and NPH on the health of elderly persons.

Childhood neighborhoods and cause-specific adult mortality in Sweden 1939-2015

The socioeconomic health gradient has widened in recent decades. We study how childhood socioeconomic neighborhood conditions influence gender- and cause-specific adult mortality. Using uniquely detailed geocoded longitudinal microdata for a Swedish town (1939-1967), with a follow-up in national registers (1968-2015), we apply Cox proportional hazards models and estimate individual neighborhoods at the address-level. We find that childhood neighborhood social class has a lasting influence on male adult mortality (ages 40-69), even when adjusting for class position, class origin, neighborhood physical attributes and school districts. This impact was particularly pronounced for preventable causes of death, pointing to lifestyle and behavioral factors as important mechanisms.

Isolation and survival: The impact of local and MSA isolation on survival among non-Hispanic Black women diagnosed with breast cancer in the United States using a SEER-Medicare cohort

BACKGROUND

Residential segregation is an important factor that negatively impacts cancer disparities, yet studies yield mixed results and complicate clear recommendations for policy change and public health intervention. In this study, we examined the relationship between local and Metropolitan Statistical Area (MSA) measures of Black isolation (segregation) and survival among older non-Hispanic (NH) Black women with breast cancer (BC) in the United States. We hypothesized that the influence of local isolation on mortality varies based on MSA isolation-specifically, that high local isolation may be protective in the context of highly segregated MSAs, as ethnic density may offer opportunities for social support and buffer racialized groups from the harmful influences of racism.

METHODS

Local and MSA measures of isolation were linked by Census Tract (CT) with a SEER-Medicare cohort of 5,231 NH Black women aged 66-90 years with an initial diagnosis of stage I-IV BC in 2007-2013 with follow-up through 2018. Proportional and cause-specific hazards models and estimated marginal means were used to examine the relationship between local and MSA isolation and all-cause and BC-specific mortality, accounting for covariates (age, comorbidities, tumor stage, and hormone receptor status).

FINDINGS

Of 2,599 NH Black women who died, 40.0% died from BC. Women experienced increased risk for all-cause mortality when living in either high local (HR = 1.20; CI = 1.08-1.33; p < 0.001) or high MSA isolation (HR = 1.40; CI = 1.17-1.67; p < 0.001). A similar trend existed for BC-specific mortality. Pairwise comparisons for all-cause mortality models showed that high local isolation was hazardous in less isolated MSAs but was not significant in more isolated MSAs.

INTERPRETATION

Both local and MSA isolation are independently associated with poorer overall and BC-specific survival for older NH Black women. However, the impact of local isolation on survival appears to depend on the metropolitan area's level of segregation. Specifically, in highly segregated MSAs, living in an area with high local isolation is not significantly associated with poorer survival. While the reasons for this are not ascertained in this study, it is possible that the protective qualities of ethnic density (e.g., social support and buffering from experiences of racism) may have a greater role in more segregated MSAs, serving as a counterpart to the hazardous qualities of local isolation. More research is needed to fully understand these complex relationships.

FUNDING

National Cancer Institute.

Examining neighborhood effects on mental health utilizing a novel two-stage modeling approach

PURPOSE

Neighborhood conditions may affect health, but health may also determine a preference for where to live. This study estimates the effect of neighborhood characteristics on mental health while aiming to adjust for this residential self-selection.

METHODS

A two-step method was implemented using register data from Statistics Netherlands from all residents of the city of Rotterdam relocating within the city in 2013 (N = 12,456). First, using a conditional logit model, we estimated for each individual the probability of relocating to a neighborhood over all other neighborhoods in Rotterdam, based on personal and neighborhood characteristics in 2013. Second, we corrected this selection process in a model investigating the effects of neighborhood characteristics in 2014 on reimbursed anti-depressant or anti-psychotic medication in 2016.

RESULTS

Personal and neighborhood characteristics predicted neighborhood choice, indicating strong patterns of selection into neighborhoods. Unadjusted for selection log neighborhood income was associated with reimbursed medication (β = -0.040, 95% CI = -0.060, -0.020), but the association strongly attenuated after controlling for self-selection into neighborhoods (β = -0.010, 95% CI = -0.030, 0.011). The opposite was observed for contact with neighbors; unadjusted for self-selection there was no association (β = -0.020, 95% CI = -0.073, 0.033), but after adjustment increased neighborhood contact was associated with an 8.5% relative reduction in reimbursed medication (β = -0.075, 95% CI = -0.126, -0.025).

CONCLUSIONS

The method illustrated in this study offers new opportunities to disentangle selection from causation in neighborhood health research.

Structural Racism as an Environmental Justice Issue: A Multilevel Analysis of the State Racism Index and Environmental Health Risk from Air Toxics

Communities of color and poor neighborhoods are disproportionately exposed to more air pollution-a pattern known as environmental injustices. Environmental injustices increase susceptibility to negative health outcomes among residents in affected communities. The structural mechanisms distributing environmental injustices in the USA are understudied. Bridging the literatures on the social determinants of health and environmental justice highlights the importance of the environmental conditions for health inequalities and sheds light on the institutional mechanisms driving environmental health inequalities. Employing a critical quantitative methods approach, we use data from an innovative state racism index to argue that systematic racialized inequalities in areas from housing to employment increase outdoor airborne environmental health risks in neighborhoods. Results of a multilevel analysis in over 65,000 census tracts demonstrate that tracts in states with higher levels of state-level Black-white gaps report greater environmental health risk exposure to outdoor air pollution. The state racism index explains four-to-ten percent of county- and state-level variation in carcinogenic risk and noncarcinogenic respiratory system risks from outdoor air toxics. The findings suggest that the disproportional exposure across communities is tied to systematic inequalities in environmental regulation and other structural elements such as housing and incarceration. Structural racism is an environmental justice issue.

Effects of neighborhood features on healthy aging in place: the composition and context of urban parks and traditional local coffeeshops in Singapore

BACKGROUND

Healthy aging in place is affected by what the neighborhood provides for older adults. The mixed-methods ethnographic study explored the built environmental and contextual effects of urban parks and traditional local coffeeshops (kopitiam) on health practices among older adults in Singapore.

METHODS

A door-to-door survey with 497 older adults from 32 residential blocks in a public housing town assessed exercise and smoking. The walking distances from the residential blocks to the facilities were calculated. Regression analysis examined the associations between the distance and rates of exercise and smoking. Ethnographic assessment data contextualized the quantitative findings.

RESULTS

Older adults' exercise was associated with proximity to an urban park but not traditional local coffeeshops. High rates of smoking were clustered in the housing blocks close to the coffeeshops, which provided casual drinking places with smoking tables. The proximity to the coffeeshops was significantly associated with increased smoking and decreased exercise. A walking distance of 200 m to the park and coffeeshops was found to discriminate the outcomes.

CONCLUSIONS

The findings suggested that walking distances of a few blocks influenced health behaviors among older adults. Their smoking habits appeared to be maintained through environmental features and cultural norms attached to the coffeeshops. Policy of urban planning and redevelopment for the aging population needs to consider the socioecology of healthy aging in place.

Localized social capital in action: How neighborhood relations buffered the negative impact of COVID-19 on subjective well-being and trust

The importance of neighbors is highlighted in times of crisis, such as the COVID-19 pandemic: they offer support by providing small services and a sense of community. Using panel data from Switzerland, this study investigates how and for whom relations with neighbors changed during the pandemic. In a second step, changes in subjective well-being and trust in other people are linked to changes in neighborly relations. The results show that the negative impact of the pandemic on people's subjective well-being and trust was much less pronounced for those who improved their relations with neighbors. Meanwhile, people with more resources prior to the pandemic were generally more likely to improve neighborly relations. Consequently, the most vulnerable groups in terms of health and socio-economic status saw their subjective well-being and trust negatively impacted through the challenging circumstances of the pandemic as well as indirectly through a relative deterioration of neighborly relations. Robustness analyses further show that the documented effects are attributable to changes induced by the pandemic.

Moving to greener pastures: Health selection into neighborhood green space among a highly mobile and diverse population in California

Global urbanization has sparked substantial environmental, public health, and social science research on the importance of conserving and propagating natural environments. A large subset of this work focuses on the benefits of green space for health. An often-overlooked methodological concern when examining relations between green space and health, however, involves residential self-selection. The selective movement of individuals into greener neighborhoods on the basis of preexisting health and correlated social factors may bias associations, particularly in cross-sectional studies, which predominate existing green space/health research. To quantify the extent of residential self-selection bias, this study used a longitudinal sibling comparison design with repeated individual and neighborhood measures to estimate associations between pre-move health factors, including maternal body mass index (BMI) and infant birthweight, and post-move neighborhood green space in a residentially mobile sample of mothers in California, 2007 to 2015 (n = 288,333). Results show that better health before moving predicted higher levels of neighborhood green space after moving, providing evidence of health selection. Findings also indicate some support for differential health selection into neighborhood green space by race/ethnicity, including that evidence of selection emerges for white and Hispanic, but not Black, mothers. However, weak relations between pre-move individual factors and post-move neighborhood green space across analyses suggest that potential bias due to residential self-selection appears relatively minimal in a large, diverse, and highly mobile sample of families in California. Findings support calls to increase green space in historically marginalized neighborhoods as a means to promote environmental and health equity.

Neighborhood social context and suicide mortality: A multilevel register-based 5-year follow-up study of 2.7 million individuals

Previous studies have linked neighborhood social characteristics to suicide mortality. However, the effects of the operational definition of neighborhoods and the general importance of neighborhood context on suicide mortality have received little attention, with most studies using various administrative areas as neighborhood delineations. In this study, neighborhoods were delineated by micro-areas generated with an automated redistricting algorithm and divided by physical barriers, such as large roads. The geographic data were linked to register data on the Danish adult population in the age range of 20-59 years in December 2013 (N = 2,672,799 individuals nested into 7943 neighborhoods). This cohort was followed for five years to evaluate the association between suicide mortality and neighborhood socioeconomic deprivation, social fragmentation, and population density. We used the median hazard ratio (MHR) to quantify the general contextual effect (GCE) of neighborhoods on suicide mortality and hazard ratios to quantify the specific contextual effects (SCEs) using multilevel survival models stratified by age group. The results showed a larger GCE and larger SCEs of neighborhoods on suicide mortality for individuals aged 20-39 years compared with those aged 40-59 years. After controlling for individual characteristics, higher suicide mortality was observed for individuals living in the least densely populated neighborhoods and the most socially fragmented neighborhoods for both age groups. We found cross-level interactions between neighborhood population density and gender and ethnicity for those aged 40-59 years, as well as between neighborhood social fragmentation and ethnicity for those aged 20-39 years. The results indicate that beyond individual characteristics, the neighborhood social context may affect the risk of suicide, especially for people aged 20-39 years.

Socially Connected Neighborhoods and the Spread of Sexually Transmitted Infections

Sexually transmitted infections (STIs) in the United States have been increasing at record levels and exhibit unequal spatial patterning across urban populations and neighborhoods. Research on the effects of residential and nearby neighborhoods on STI proliferation has largely ignored the role of socially connected contexts, even though neighborhoods are routinely linked by individuals' movements across space for work and other social activities. We showcase how commuting and public transit networks contribute to the social spillover of STIs in Chicago. Examining data on all employee-employer location links recorded yearly by the Census Bureau for more than a decade, we assess network spillover effects of local community STI rates on interconnected communities. Spatial and network autoregressive models show that exposure to STIs in geographically proximate and socially proximate communities contributes to increases in local STI levels, even net of socioeconomic and demographic factors and prior STIs. These findings suggest that geographically proximate and socially connected communities influence one another's infection rates through social spillover effects.

Post-purchase Federal Financial Aid: How (in)Effective is the IRS's Student Loan Interest Deduction (SLID) in Reaching Lower-Income Taxpayers and Students?

Federal financial aid policies for higher education may be classified based on their "for-purchase" and "post-purchase" natures. The former include grants, loans, and workstudy and intend to help students finance or afford college attendance, persistence, and graduation. Post-purchase policies are designed to minimize financial burdens associated with having invested in college attendance and are granted as tax incentives/expenditures. One of these expenditures is the IRS's Student Loan Interest Deduction (SLID)-which offers up to $2500 as an adjustment for taxable income based on having paid interest on student loans and has an annual cost of $12.81 billion-about 45.7% of the Pell grant cost. Despite this high cost, SLID has remained virtually unstudied. Accordingly, the study's purpose is to assess how (in)effective SLID may be in reaching lower-income taxpayers. To address this purpose, we relied on an innovative analytic framework "multilevel modelling with spatial interaction effects" that allowed controlling for contextual and systemic observed and unobserved factors that may both affect college participation and may be related with SLID disbursements over and above income prospects. Data sources included the IRS, ACS, FBI, IPEDS, and the NPSAS:2015-2016. Findings revealed that SLID is regressive at the top, wealthier taxpayers and students attending more expensive colleges realize higher tax benefits than lower income taxpayers and students. Indeed, 75% of community college students were found to not be eligible to receive SLID-data and replication code (https://cutt.ly/COyfdKC) are provided. Is this the best use of this multibillion tax incentive? Is SLID designed to exclude the poorest, neediest students? A policy similar to Education Credits, focused on outstanding debt rather than on interest, that targets below-poverty line students with up to $5000 in debt, would represent a true commitment, and better use of public funds, to close socioeconomic gaps, by helping those more prone to default.

Wealth, Race, and Place: How Neighborhood (Dis)advantage From Emerging to Middle Adulthood Affects Wealth Inequality and the Racial Wealth Gap

Do neighborhood conditions affect wealth accumulation? This study uses the National Longitudinal Survey of Youth 1979 cohort and a counterfactual estimation strategy to analyze the effect of prolonged exposure to neighborhood (dis)advantage from emerging adulthood through middle adulthood. Neighborhoods have sizable, plausibly causal effects on wealth, but these effects vary significantly by race/ethnicity and homeownership. White homeowners receive the largest payoff to reductions in neighborhood disadvantage. Black adults, regardless of homeownership, are doubly disadvantaged in the neighborhood-wealth relationship. They live in more-disadvantaged neighborhoods and receive little return to reductions in neighborhood disadvantage. Findings indicate that disparities in neighborhood (dis)advantage figure prominently in wealth inequality and the racial wealth gap.

Environmental Influences on Life Satisfaction and Depressive Symptoms Among Older Adults With Multimorbidity: Path Analysis Through Loneliness in the Canadian Longitudinal Study on Aging

BACKGROUND AND OBJECTIVES

More older adults with multimorbidity are aging in place than ever before. Knowing how the environment affects their mental well-being could enhance the efficacy of age-friendly interventions for multimorbidity resilience. With reference to the Transdisciplinary Neighborhood Health Framework, we construct and examine a priori models of environmental influences on life satisfaction and depressive symptoms.

RESEARCH DESIGN AND METHODS

Baseline and follow-up data (after 3 years) were drawn from the Canadian Longitudinal Study on Aging to identify a subsample (n = 14,301) of participants aged at least 65 years with at least 2 chronic diseases. Path analysis examined sociobehavioral attributes (i.e., social support, social participation, walking) and loneliness as primary and secondary mediators, controlling for age, sex, education, and outcomes during baseline.

RESULTS

Good model fit was found (TFI = 1.00; CFI = 1.00; RMSEA < 0.001; SRMR < 0.001). The total effects of housing quality (rtotal = 0.08, -0.07) and neighborhood cohesion (rtotal = 0.03, -0.06) were weak but statistically significant in the expected direction. The mediators explained 21%-31% of the total effects of housing quality and 67%-100% of the total effects of neighborhood cohesion. Loneliness mediated 27%-29% of these environmental influences on mental well-being, whereas walking mediated a mere 0.4%-0.9% of the total effects. Walking did not explain the relationship between housing quality and mental well-being.

DISCUSSION AND IMPLICATIONS

Data supported a priori pathways from environment to mental well-being through sociobehavioral attributes and loneliness. If these pathways from neighborhood cohesion to life satisfaction reflect causal effects, community-based age-friendly interventions should focus on enhancing neighborhood cohesion to mitigate loneliness among multimorbid older adults for their mental well-being.

Racial disparities in triple negative breast cancer: toward a causal architecture approach

BACKGROUND

Triple negative breast cancer (TNBC) is an aggressive subtype of invasive breast cancer that disproportionately affects Black women and contributes to racial disparities in breast cancer mortality. Prior research has suggested that neighborhood effects may contribute to this disparity beyond individual risk factors.

METHODS

The sample included a cohort of 3316 breast cancer cases diagnosed between 2012 and 2020 in New Castle County, Delaware, a geographic region of the US with elevated rates of TNBC. Multilevel methods and geospatial mapping evaluated whether the race, income, and race/income versions of the neighborhood Index of Concentration at the Extremes (ICE) metric could efficiently identify census tracts (CT) with higher odds of TNBC relative to other forms of invasive breast cancer. Odds ratios (OR) and 95% confidence intervals (CI) were reported; p-values < 0.05 were significant. Additional analyses examined area-level differences in exposure to metabolic risk factors, including unhealthy alcohol use and obesity.

RESULTS

The ICE-Race, -Income-, and Race/Income metrics were each associated with greater census tract odds of TNBC on a bivariate basis. However, only ICE-Race was significantly associated with higher odds of TNBC after adjustment for patient-level age and race (most disadvantaged CT: OR = 2.09; 95% CI 1.40-3.13), providing support for neighborhood effects. Higher counts of alcohol and fast-food retailers, and correspondingly higher rates of unhealthy alcohol use and obesity, were observed in CTs that were classified into the most disadvantaged ICE-Race quintile and had the highest odds of TNBC.

CONCLUSION

The use of ICE can facilitate the monitoring of cancer inequities and advance the study of racial disparities in breast cancer.

Neighborhoods, networks, and delivery methods

We examine the contribution of information transmission among pregnant women to geographic variation in C-sections in Lombardy, Italy. Defining networks as pregnant women living in the same municipality, we observe that if the incidence of C-sections within the womans network is one standard deviation higher over the 12 months preceding delivery, then her probability of delivering by C-section is 0.007 percentage points (3%) higher. This result is mainly a network effect on Italian women, while it arises from both network and neighborhood effects on foreign women. Both groups respond to additional information, such as the incidence of C-section complications. The selection of pregnant women across hospitals does not uniquely explain our results, which are robust to alternative sample selections and specifications.

Neighborhood Profiles and Body Mass Index Trajectory in Female Adolescents and Young Adults

PURPOSE

The purpose of this study is to identify distinct neighborhood profiles patterned by key structural, physical, and social characteristics and test whether living in different profiles are associated with body mass index trajectories during adolescence in racial/ethnic minority female youth.

METHODS

Participants were 1,328 sexually active female adolescents and young adults aged 14-23 years, predominately Hispanic and black, enrolled in an human papillomavirus type 4 vaccine (Gardasil) surveillance study at a large adolescent health clinic in New York City between 2007 and 2018. Body mass index was calculated from weight and height every 6 months. A comprehensive set of neighborhood structural, social, and physical characteristics from multiple national and state datasets was linked to each participant based on home address.

RESULTS

Latent profile analysis revealed five distinct neighborhood profiles in New York City: High Structural/High Social Advantage, Moderate Advantage/Low Crime, Low SES (Socioeconomic Status)/High Activity, Low SES/High Social Advantage, and High Disadvantage. Results from multilevel growth curve analysis revealed that living in Low SES/High Activity neighborhoods was associated with a lower BMI at age 22 (b = -1.32, 95% confidence interval -2.49, -.16), as well as a slower increase in BMI from age 14 to 22 years (b = -.22, 95% confidence interval -.46, .02), compared to the High Disadvantage profile.

CONCLUSIONS

Our findings suggest that improving neighborhood structural, social, and physical environments may help promote healthy weight and reduce health disparities during adolescence and young adulthood.

Shifting neighborhoods, shifting health: A longitudinal analysis of gentrification and health in Los Angeles County

Gentrification is characterized by an influx of capital, built environment upgrades, and physical and social displacement of residents and institutions. The numerous, relatively rapid transitions that occur during gentrification make accounting for duration of exposure to gentrification particularly important when exploring its relationship to health. Though a large literature explores how timing and duration of exposure to relatively stable neighborhood conditions are linked to health, little is known about how exposure to gentrification is linked to the health of longtime residents. Using restricted, longitudinal data from the Los Angeles Family and Neighborhood Survey, I ask (1) how is duration of exposure to gentrification linked to the self-reported health of those who remain in the neighborhood? (2) How does this relationship vary for members of different racial and ethnic groups? Results indicate that the longer an individual lives in a gentrifying neighborhood, the better their self-reported health. The results do not vary by race or ethnicity. The results of this study are not an endorsement of the use of gentrification as a public health intervention, as previous work finds that gentrification can also be associated with social, physical, and institutional displacement. Instead, findings reiterate the importance of neighborhood investments for the health and well-being of their residents over time.

Neighborhood socioeconomic deprivation and psychiatric medication purchases. Different neighborhood delineations, different results? A nationwide register-based multilevel study

Previous studies of neighborhood socioeconomic deprivation and mental health treatment have shown mixed results. Multiple reviews have highlighted that the definition and measurement of neighborhoods can lead to different results, providing one explanation for these mixed findings. This study compares the use of micro-areas created using an automated redistricting algorithm and divided by physical barriers with the use of two administrative units, Danish parishes and postal codes. The geographical data are linked to Danish register data of the Danish population from age 16 in 2017, N = 4,347,001, to measure the association between the purchase of psychiatric medication and neighborhood socioeconomic deprivation using logistic multilevel models. Neighborhood socioeconomic deprivation is associated with a slightly increased probability of redeeming prescriptions for psychiatric medication after controlling for individual sociodemographic composition. However, this association was present only for micro-areas and not for parishes or postal codes. The results indicate that neighborhood effects on psychiatric medication purchases are affected by the neighborhood delineations used and that future studies should carefully consider how neighborhoods are defined and measured.

Predictability eliminates neighborhood effects during Chinese sentence reading

Previous research has demonstrated effects of both orthographic neighborhood size and neighbor frequency in word recognition in Chinese. A large neighborhood-where neighborhood size is defined by the number of words that differ from a target word by a single character-appears to facilitate word recognition, while the presence of a higher-frequency neighbor has an inhibitory effect. The present study investigated modulation of these effects by a word's predictability in context. In two eye-movement experiments, the predictability of a target word in each sentence was manipulated. Target words differed in their neighborhood size (Experiment 1) and in whether they had a higher-frequency neighbor (Experiment 2). The study replicated the previously observed effects of neighborhood size and neighbor frequency when the target word was unpredictable, but in both experiments neighborhood effects were absent when the target was predictable. These results suggest that when a word is preactivated by context, the activation of its neighbors may be diminished to such an extent that these neighbors do not effectively compete for selection.

Neighborhood Ethnic Composition and Self-rated Health Among Chinese and Vietnamese American Immigrants

Immigrants tend to live in areas with higher co-ethnic density, and the effect of neighborhood ethnic composition could be particularly salient for health. This study explored associations between neighborhood ethnic composition and self-rated health among Asian immigrants. We analyzed data collected at baseline from 670 Chinese and Vietnamese immigrants enrolled in a lifestyle intervention trial. Residential addresses were geocoded and combined with neighborhood socio-demographic profiles based on census data. We used generalized estimating equations to examine neighborhood ethnic composition and self-rated health. Independent of individual-level factors, living in neighborhoods more densely populated by whites was associated with poor/fair self-rated health. Neighborhood household income and density of participants' own ethnic group were not associated with poor/fair self-rated health. More research is warranted to disentangle reasons why Chinese and Vietnamese immigrants living in white-concentrated neighborhoods reported poorer self-rated health, including investigating effects of discrimination, relative deprivation, and availability of social resources.

Day time, night time, over time: geographic and temporal uncertainty when linking event and contextual data

BACKGROUND

The growth of geolocated data has opened the door to a wealth of new research opportunities in the health fields. One avenue of particular interest is the relationship between the spaces where people spend time and their health outcomes. This research model typically intersects individual data collected on a specific cohort with publicly available socioeconomic or environmental aggregate data. In spatial terms: individuals are represented as points on map at a particular time, and context is represented as polygons containing aggregated or modeled data from sampled observations. Uncertainty abounds in these kinds of complex representations.

METHODS

We present four sensitivity analysis approaches that interrogate the stability of spatial and temporal relationships between point and polygon data. Positional accuracy assesses the significance of assigning the point to the correct polygon. Neighborhood size investigates how the size of the context assumed to be relevant impacts observed results. Life course considers the impact of variation in contextual effects over time. Time of day recognizes that most people occupy different spaces throughout the day, and that exposure is not simply a function residential location. We use eight years of point data from a longitudinal study of children living in rural Pennsylvania and North Carolina and eight years of air pollution and population data presented at 0.5 mile (0.805 km) grid cells. We first identify the challenges faced for research attempting to match individual outcomes to contextual effects, then present methods for estimating the effect this uncertainty could introduce into an analysis and finally contextualize these measures as part of a larger framework on uncertainty analysis.

RESULTS

Spatial and temporal uncertainty is highly variable across the children within our cohort and the population in general. For our test datasets, we find greater uncertainty over the life course than in positional accuracy and neighborhood size. Time of day uncertainty is relatively low for these children.

CONCLUSIONS

Spatial and temporal uncertainty should be considered for each individual in a study since the magnitude can vary considerably across observations. The underlying assumptions driving the source data play an important role in the level of measured uncertainty.

(2018)

We revisit a novel causal model published in Demography by Hicks et al. (2018), designed to assess whether exposure to neighborhood disadvantage over time affects children's reading and math skills. Here, we provide corrected and new results. Reconsideration of the model in the original article raised concerns about bias due to exposure-induced confounding (i.e., past exposures directly affecting future exposures) and true state dependence (i.e., past exposures affecting confounders of future exposures). Through simulation, we show that our originally proposed propensity function approach displays modest bias due to exposure-induced confounding but no bias from true state dependence. We suggest a correction based on residualized values and show that this new approach corrects for the observed bias. We contrast this revised method with other causal modeling approaches using simulation. Finally, we reproduce the substantive models from Hicks et al. (2018) using the new residuals-based adjustment procedure. With the correction, our findings are essentially identical to those reported originally. We end with some conclusions regarding approaches to causal modeling.

Neighborhood Risk Factors for Recidivism: For Whom do they Matter?

Justice-involved people vary substantially in their risk of reoffending. To date, recidivism prediction and prevention efforts have largely focused on individual-level factors like antisocial traits. Although a growing body of research has examined the role of residential contexts in predicting reoffending, results have been equivocal. One reason for mixed results may be that an individual's susceptibility to contextual influence depends upon his or her accumulated risk of reoffending. Based on a sample of 2218 people on probation in San Francisco, California, this study draws on observational and secondary data to test the hypothesis that individual risk moderates the effect of neighborhood factors on recidivism. Results from survival analyses indicate that individual risk interacts with neighborhood concentrated disadvantage and disorder-and these factors increase recidivism among people relatively low in individual risk, but not those at higher risk. This is consistent with the disadvantage saturation perspective, raising the possibility that some people classified as low risk might not recidivate but for placement in disadvantaged and disorderly neighborhoods. Ultimately, residential contexts "matter" for lower risk people and may be useful to consider in efforts to prevent recidivism.

Neighborhood effects in mixed-species flocks affect foraging efficiency of intermediate and little egrets

Birds aggregate for various survival needs, and ardeids form both conspecific and mixed-species flocks. However, it remains unclear whether and how ardeids' foraging while joining a flock is affected differently in conspecific versus mixed-species flocks. We studied egret flocks in southwestern Taiwan to assess the flock size and neighborhood effects on flock formation and foraging performance of egrets by examining landing tendencies and expelling behaviors of Little (Egretta garzetta) and Intermediate (E. intermedia) egrets, and assessing strike rates, strike efficiency, and intake rates of singles and egrets in conspecific and mixed-species flocks. We found no evidence of non-random landings to mixed-species flocks by either species, but egrets showed a trend of landing closer to conspecifics when conspecifics represented lower proportions in flocks. Intermediate Egrets displayed expelling behavior more frequently. Expelling by earlier arrived egrets interrupted subsequent flock formation on 45.2 % occasions, but was not affected by egrets' foraging performance. Solitary Little Egrets had higher strike and fish intake rates, but lower strike efficiency, than solitary Intermediate Egrets, whereas their biomass intake rates were similar. Strike and fish intake rates increased in flocks compared to singles in both species, but declined for Little Egrets as flocks increased from medium (11-30 birds) to large sizes (> 30). Intermediate Egrets had higher strike, fish intake, and biomass intake rates, but Little Egrets had lowered strike efficiency and fish- and biomass-intake rates, when near each other than when near conspecifics. Overall, Intermediate Egrets in mixed-species flocks improved foraging efficiency and food intakes by neighborhood effects at costs of reduced foraging efficiency to Little Egrets. The variation in landing tendency over flock compositions suggests potential interactions of the neighborhood effect with egrets' conspecific attraction.

Neighborhood social environments, healthy resources, and adult diabetes: Accounting for activity space exposures

This study broadens contextual environments to include adults' activity spaces-inside and outside the residential neighborhood-to examine how contextual exposures shape type 2 diabetes risk. We use novel longitudinal data from the Los Angeles Family and Neighborhood Survey, construct time-weighted exposure measures of adults' social-structural and healthy resource environments, and execute random effects logistic models predicting the probability of being diabetic. Results indicate that residential and activity space exposures are independently associated with adult diabetes, and that residential and activity space healthy resources combine to influence diabetes risk in synergistic ways. Living in more socioeconomically advantaged neighborhoods reduces diabetes risk, particularly when spending time in activity spaces with greater access to recreational facilities. Moreover, healthier activity space environments may compensate for living in neighborhoods devoid of healthy food options to lessen diabetes risk. Adopting an activity space framework can inform multilevel interventions aimed at alleviating type 2 diabetes and other chronic ailments.

Neighborhood social capital and adolescents' individual health development

Neighborhood social capital is argued to influence individual health. However, many studies do not make the distinction between individual level and group level social capital. Furthermore, many studies on this topic are cross-sectional studies based in Western countries. In this study I will examine health and neighborhood social capital by measuring social capital on both the individual and the aggregated neighborhood level. Data from two waves of the Taiwan Youth Project give a longitudinal perspective into the development of health of adolescents from northern Taiwan. The data consist of 2207 adolescents, with measures at ages 14 and 15. The adolescents are clustered within 39 neighborhoods. The results show that adolescents' individual level neighborhood social capital is related to their baseline health status, but not to changes in health status. Only neighborhood level social capital is related to changes in health status. More social capital in the neighborhood is related to positive changes in health status. To test whether the effect of neighborhood social capital changes, depending on how important the neighborhood context is in someone's life, I studied differential effects for adolescents with more or less alternative contacts outside of the neighborhood and the years adolescents resided in the neighborhood. The original results were not affected by these factors, suggesting that the relation between neighborhood social capital and health is pervasive, despite individuals' integration in the neighborhood.

Associational effects of plant ontogeny on damage by a specialist insect herbivore

Intraspecific variation in plant traits is a major cause of variation in herbivore feeding and performance. Plant defensive traits change as a plant grows, such that ontogeny may account for a substantial portion of intraspecific trait variation. We tested how the ontogenic stage of an individual plant, of an individual in the context of its neighboring plants, and of a patch of plants with mixed or uniform stages affect plant-herbivore interactions. To do this, we conducted an experimental study of the interactions between Lepidium draba, a perennial brassicaceous weed, and Plutella xylostella, a common herbivore of L. draba. We found that L. draba foliar glucosinolates, secondary metabolites often implicated in defense, decreased in concentration with plant age. In single-stage patches, herbivores performed similarly on L. draba plants of different ages. Furthermore, we found no difference in the cumulative performance of herbivores reared on mixed- or even-staged patches of L. draba. However, in mixed-stage patches, the damage experienced by a focal plant depended on the stage of neighboring plants, suggesting a preference hierarchy of the herbivore among plant stages. In our study, the amount of herbivory depended on the ontogenic neighborhood in which the plant grew. However, from the herbivore's perspective, variation in plant ontogenic stage was unimportant to its success in terms of feeding rate and final weight.

Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation

Urbanization processes have accelerated over recent decades, prompting efforts to model land use change (LUC) patterns for decision support and urban planning. Cellular automata (CA) are extensively employed given their simplicity, flexibility, and intuitiveness when simulating dynamic LUC. Previous research, however, has ignored the spatial heterogeneity among sub-regions, instead applying the same transition rules across entire regions; moreover, most existing methods extract neighborhood effects with only one data time slice, which is inconsistent with the nature of neighborhood interactions as a long-term process exhibiting obvious spatiotemporal dependency. Accordingly, we propose a hybrid cellular automata model coupling area partitioning and spatiotemporal neighborhood features learning, named PST-CA. We use a machine-learning-based partitioning strategy, self-organizing map (SOM), to divide entire regions into several homogeneous sub-regions, and further apply a spatiotemporal three-dimensional convolutional neural network (3D CNN) to extract the spatiotemporal neighborhood features. An artificial neural network (ANN) is then built to create a conversion probability map for each sub-region using both spatiotemporal neighborhood features and factors that drive the LUC. Finally, the dynamic simulation results of entire study area are generated by fusing these probability maps, constraints and stochastic factors. Land use data collected from 2000 to 2015 in Shanghai were selected to verify our proposed method. Four traditional models were implemented for comparison, including logistic regression (LR)-CA, support vector machine (SVM)-CA, random forest (RF)-CA and conventional ANN-CA. Results illustrate that the proposed PST-CA outperformed four traditional models, with overall accuracy increased by 4.66%~6.41%. Moreover, three distinctly different "coverage rate-growth rate" composite patterns of built-up areas are shown in the SOM partitioning results, which verifies SOM's ability to address spatial heterogeneity; while the optimal time steps in 3D CNN generally maintained a positive correlation with the growth rate of built-up areas, which implies longer temporal dependency should be captured for rapidly developing areas.

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

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

The dual contingencies of ethnoraciality: Status-context disparities in health information sources among sexual minorities

Researchers often explore health (care) beliefs as a function of individual characteristics; yet, few consider the role of context in shaping both beliefs and the behaviors that are informed by them. As a sociopolitical construct, ethnoraciality provides a concerning source of bias in studies of health (care) beliefs because it inhabits both individual and contextual forms. This study examines whether the ethnoracial context of the residential area where sexual minorities live is associated with a particular health (care) belief - sources of trustworthy health information - and considers how ethnoracial group membership status differentiates these ecological associations drawing on mediation and moderation models. Using data from the 2010 Social Justice Sexuality Project, our analysis shows that sexual minorities who live with high concentrations of Latinos and Whites are less likely to rely exclusively on medical professionals for trustworthy health information than those who live with high concentrations of Blacks. Moreover, exclusive reliance on medical professionals for health information among Black and Latino sexual minorities is stronger in co-ethnic communities (predominately Black and Latino areas, respectively). The analysis also documents status and contextual differentials and status-context contingencies of reliance on the Internet, social networks, and multiple agents ("triangulation") as sources of health information. Findings suggest that place-based co-ethnic networks may facilitate disease prevention among Black and Latino sexual minorities by improving the quality of their relationships with sick role gatekeepers and breaking down the silos of the medical complex. The study concludes by considering the value of a place-based approach to alleviating health disparities among sexual minorities vis-à-vis the health care system.

Intergenerational transmission of socio-economic status: The role of neighborhood effects

INTRODUCTION

Little attention has been paid to the role of neighborhoods as a predictor of intergenerational transmission of socio-economic status. This study uses a nationally representative, longitudinal sample from the United States to examine how neighborhoods impact racial/ethnic disparities in the intergenerational transmission of socio-economic status.

METHODS

The study sample is derived from Waves 1 and 4 of the National Longitudinal Study of Adolescent to Adult Health. The sample size comprises 13,738 participants (aged 15 at Wave 1; 51% female). Multilevel regression is used to predict racial/ethnic disparities in intergenerational transmission of socio-economic status. Six neighborhood-level indicators are regressed on the indicators of intergenerational transmission of education, income and occupational prestige, while controlling for a range of individual socio-demographic variables.

RESULTS

Results reveal that: (1) African-American and Hispanic children are less likely to surpass their parents' levels of education, income and occupational prestige than Asian-Pacific Islander and non-Hispanic white children; (2) these racial/ethnic differences in intergenerational transmission of socio-economic status are attenuated but not fully explained by neighborhood-level indicators; (3) all but one of the neighborhood-level factors examined were significant in predicting the pace of intergenerational transmission of socio-economic status.

CONCLUSIONS

The implication of these results is that policies aimed at reducing inequalities between residential neighborhoods are likely to beneficially affect all racial/ethnic groups but are not sufficient in reducing racial/ethnic disparities in intergenerational transmission of socio-economic status.

Exploring the contingent associations between functional limitations and depressive symptoms across residential context: a multilevel panel data analysis

Objectives: This study examines the multilevel relationship between functional limitations and depressive symptoms among community-dwelling US older adults, and how it is moderated by community environmental characteristics (neighborhood fear, social cohesion, structural disadvantage and residential stability).Method: Data come from two waves of National Social Life, Health and Aging Project (NSHAP) collected in 2005/2006 and 2010/2011, consisting of 2,261 individuals aged 57-85 (mean = 68.5; SD = 7.5) nested in 100 regional areas. Two-level hierarchical linear models are fitted to test if and to what extent limited physical capacity and neighborhood measures are interactively related to depressive symptoms.Results: Adjusting for confounders (e.g. age, gender, education, employment status, social support), we find a significant positive relationship between functional limitations and depressive symptoms. At the aggregate level, socially cohesive neighborhoods are negatively related to depression. Several cross-level interactions are also observed. First, the association between poor functional health and depression is greater in neighborhoods perceived to be less safe. It is also stronger in places with more structural disadvantages. Lastly, the physical impairment-depression link is more pronounced where there is higher residential stability, i.e., greater proportion of long-term residents.Conclusion: Our study bridges an important empirical gap in the literature. Prior studies have rarely investigated how the connection between functional limitations and depressive symptoms among older adults is conditioned by neighborhood characteristics. By using multilevel analysis of population-based longitudinal data, we show that physical space (neighborhood community) plays a critical role in understanding this important, yet understudied, relationship.

Adolescent Sexual Initiation: A Cross-Classified Multilevel Analysis of Peer Group-, School-, and Neighborhood-Level Influences

PURPOSE

This study examines the simultaneous roles of neighborhood, school, and peer group contexts on variation in age of U.S. adolescent sexual initiation (coitarche). All three contexts have been shown to be important determinants of adolescent sexual and reproductive health outcomes but are typically examined separately, leaving a large gap in our understanding of their relative and joint importance. Furthermore, little is known about whether these contexts matter differently for boys and girls.

METHODS

Using sociocentric network data from the National Longitudinal Study of Adolescent to Adult Health, we combine gender-stratified analyses, social network community detection (to identify teens' social cliques), and cross-classified multilevel modeling to simultaneously analyze gender, neighborhood, school, and peer group effects. These results are compared against results from traditional multilevel models (MLMs), which analyze the contexts individually.

RESULTS

Evaluated separately in MLM, peer groups accounted for 6.79% of the total variation in coitarche, schools for 3.56%, and neighborhoods for 4.11%. Under simultaneous cross-classified multilevel modeling analysis, a different story emerges: peer groups and schools accounted for 3.66% and 3.19% of the total variation in coitarche, respectively, whereas neighborhood explained only 1.16% of the total variation. Stratified analyses indicate that gender modifies these associations.

CONCLUSIONS

Results demonstrate that omitting any one of these contexts may lead to an overestimation of the importance of contexts included in models. When modeled simultaneously with neighborhoods, our findings suggest that peer groups and schools are meaningful contributing contexts to the variance in sexual initiation, and that these contexts matter differently for boys and girls.

Downward Neighborhood Poverty Mobility during Childhood Is Associated with Child Asthma: Evidence from the Geographic Research on Wellbeing (GROW) Survey

Causal evidence regarding neighborhood effects on health remains tenuous. Given that children have little agency in deciding where they live and spend proportionally more of their lives in neighborhoods than adults, their exposure to neighborhood conditions could make their health particularly sensitive to neighborhood effects. In this paper, we examine the relationship between exposure to poor neighborhoods from birth to ages 4-10 and childhood asthma. We used data from the 2003-2007 California Maternal Infant and Health Assessment (MIHA) and the 2012-2013 Geographic Research on Wellbeing (GROW) survey (N = 2619 mother/child dyads) to fit relative risks of asthma for children who experience different types of neighborhood poverty mobility using Poisson regression controlling for individual-level demographic and socioeconomic characteristics, and neighborhood satisfaction. Our results demonstrate that [1] living in a poor neighborhood at baseline and follow-up and [2] moving into a poor neighborhood were each associated with higher risk of asthma, compared with children not living in a poor neighborhood at either time. Exposure to impoverished neighborhoods and downward neighborhood poverty mobility matters for children's health, particularly for asthma. Public health practitioners and policymakers need to address downward neighborhood economic mobility, in addition to downward family economic mobility, in order to improve children's health.

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.

When neighborhoods matter: Developmental timing and youth reading achievement and problem behaviors

Consistent evidence links neighborhood socioeconomic status with children's development outcomes. However, it is less clear precisely whether or when neighborhoods are most strongly associated with children's socioemotional functioning and achievement. Couched in bioecological and developmental theory, this study tests two models of neighborhood effects: childhood and adolescent exposure. We used the Project on Human Development in Chicago Neighborhoods, a longitudinal, multi-cohort study of children in Chicago in the 1990s and 2000s. We examined two cohorts of children, early childhood and adolescence, to compare the relative associations between neighborhood socioeconomic advantage and disadvantage, as measured by U.S. Census data. We conducted multilevel latent growth models (MLGMs), investigating children's initial status and growth in reading, internalizing and externalizing behaviors across the three developmental periods by neighborhood characteristics, controlling for a rich set of child- and family-level covariates. Results provided some support for the childhood and adolescent exposure models, but not precisely as hypothesized.

Residential neighborhood greenery and children's cognitive development

Children who grow up in neighborhoods with more green vegetation show enhanced cognitive development in specific domains over short timespans. However, it is unknown if neighborhood greenery per se is uniquely predictive of children's overall cognitive development measured across many years. The E-Risk Longitudinal Study, a nationally representative 1994-5 birth-cohort of children in Britain (n = 1658 urban and suburban-dwelling participants), was used to test whether residential neighborhood greenery uniquely predicts children's cognitive development across childhood and adolescence. Greenery exposure was assessed from ages 5 to 18 using the satellite imagery-based normalized difference vegetation index (NDVI) in 1-mile buffers around the home. Fluid and crystalized intellectual performance was assessed in the home at ages 5, 12, and 18 using the Wechsler Intelligence Scale, and executive function, working memory, and attention ability were assessed in the home at age 18 using the Cambridge Neuropsychological Test Automated Battery. Children living in residences surrounded by more neighborhood greenery scored significantly higher, on average, on IQ measures at all ages. However, the association between greenery and cognitive measures did not hold after accounting for family or neighborhood socioeconomic status. After adjustment for study covariates, child greenery exposure was not a significant predictor of longitudinal increases in IQ across childhood and adolescence or of executive function, working memory, or attention ability at age 18. Children raised in greener neighborhoods exhibit better overall cognitive ability, but the association is likely accounted for by family and neighborhood socioeconomic factors.

Mixed land use and neighborhood crime

The concentration of certain land uses has been linked to crime rates; yet, it remains to be seen whether mixed land use, defined as heterogeneity among several land uses, independently affects neighborhood crime. The goal of the current study, therefore, is to build upon the extant literature by examining how mixed land use influences crime, net of specific land uses and sociodemographic characteristics. Using data on Los Angeles block groups, a Herfindahl index was constructed of eight specific land uses to capture mixed land use, and a series of negative binomial regression models were estimated to assess the main and moderating effects of mixed land use on neighborhood crime. Although mixed land use was found to exert a deleterious influence on two crime types, concentrated disadvantage moderated the effect of mixed land use on all crime types. The implications of these findings for criminology, urban studies, and policy are discussed.

The relationship between neighborhood-level socioeconomic characteristics and individual mental disorders in five cities in Latin America: multilevel models from the World Mental Health Surveys

PURPOSE

Our understanding of community-level predictors of individual mental disorders in large urban areas of lower income countries is limited. In particular, the proportion of migrant, unemployed, and poorly educated residents in neighborhoods of these urban areas may characterize group contexts and shape residents' health.

METHODS

Cross-sectional household interviews of 7251 adults were completed across 83 neighborhoods of Buenos Aires, Argentina; Medellín, Colombia; São Paulo, Brazil; Lima, Peru; and Mexico City, Mexico as part of the World Mental Health Survey Initiative. Past-year internalizing and externalizing mental disorders were assessed, and multilevel models were used.

RESULTS

Living in neighborhoods with either an above-average or below-average proportion of migrants and highly educated residents was associated with lower odds of any internalizing disorder (for proportion migrants: OR 0.75, 95% CI 0.62-0.91 for the bottom tertile and OR 0.79, 95% CI 0.67-0.94 for the top tertile compared to the middle tertile; for proportion highly educated: OR 0.76, 95% CI 0.64-0.90 for the bottom tertile and OR 0.58, 95% CI 0.37-0.90 for the top tertile compared to the middle tertile). Living in neighborhoods with an above-average proportion of unemployed individuals was associated with higher odds of having any internalizing disorder (OR 1.49, 95% CI 1.14-1.95 for the top tertile compared to the middle tertile). The proportion of highly educated residents was associated with lower odds of externalizing disorder (OR 0.54, 95% CI 0.31-0.93 for the top tertile compared to the middle tertile).

CONCLUSIONS

The associations of neighborhood-level migration, unemployment, and education with individual-level odds of mental disorders highlight the importance of community context for understanding the burden of mental disorders among residents of rapidly urbanizing global settings.

Are some neighborhoods bad for your waistline? A test of neighborhood exposure effects on BMI

I study the causal impact of neighborhoods on body mass index (BMI). Through exploiting variation in the number of years individuals have lived in their neighborhood, using a data set from California, I examine if there exist causal effects of exposure to neighborhoods with high potential effects on one's BMI. The identifying assumption is that there are no unobserved individual level characteristics correlated with both BMI and moving, after controlling for observables. I find evidence that suggests that neighborhoods do not have a causal impact on BMI.

The Influence of Neighborhood Social Capital on Leisure-Time Physical Activity: a Population-Based Study in Brazil

Environmentally targeted approaches to promote physical activity are emerging in recent years as a complementary strategy to the traditional individual approaches. This study explored the relation between community social capital and leisure-time physical activity in an adult population-based sample in Brazil. We applied a generalized estimating equation approach to analyze a cross-sectional survey of 3667 adults living in 149 neighborhoods. Social capital was assessed by scales that measured collective efficacy and social cohesion in the neighborhood. We find that individuals living in areas with higher level of social cohesion were more likely to be physically active even after controlling for potentially confounding individual and area-level covariates (PR = 1.56; 95% CI = 1.13, 2.16). Collective efficacy was not significantly associated with leisure-time physical activity. Interventions to strengthen social cohesion in the community may be an avenue for promoting physical activity.

Neighborhood effects on body mass: Temporal and spatial dimensions

Research examining the effects of neighborhood characteristics on obesity and excess body weight has generally neglected the influence of both life-course exposure and geographically-proximate communities. Using data on 9357 respondents to the National Longitudinal Survey of Youth, 1979 Cohort, in conjunction with tract-level data from the 1980-2010 U.S. censuses, this study examines how black, Hispanic, and white individuals' cumulative exposure to varying levels of neighborhood poverty and co-ethnic density from their mid-teens through mid-adulthood, as well as the levels of poverty and co-ethnic density in nearby, or "extralocal," neighborhoods, are associated with their body mass index (BMI). Fixed-effect regression models show that, among Hispanics and whites, cumulative exposure to co-ethnic neighbors is a stronger positive predictor of BMI than the co-ethnic density of the immediate, point-in-time neighborhood. Among whites, cumulative exposure to neighborhood poverty is a stronger positive predictor of BMI than is the poverty rate of the current neighborhood of residence. And among both blacks and whites, the distance-weighted poverty rate of extralocal neighborhoods is significantly and inversely related to BMI, suggesting that relative affluence in nearby neighborhoods engenders relative deprivation among residents of the focal neighborhood, leading to increased BMI. Overall, the results suggest that greater attention to both the temporal and spatial dimensions of neighborhood effects has the potential to enhance our understanding of how neighborhoods affect obesity and related health outcomes.

Associations of neighborhood socioeconomic, natural and built environmental characteristics with a 13-year trajectory of non-work physical activity among civil servants in Rio de Janeiro, Brazil: The Pro-Saude Study

Positive influences of natural and built environment characteristics on human physical activity have been observed mainly in high-income countries, but mixed results exist. We explored these relationships in Rio de Janeiro, Brazil, where exuberant nature coexists with high levels of social inequality and urban violence. Data originated from questionnaires self-administered by 1731 civil servants at university campuses who participated in 4 waves (1999, 2001, 2007, 2012) of a longitudinal study, and had their residential addresses geocoded. In multinomial regression models, adjusted for individual sociodemographic characteristics, mutually adjusted associations were estimated between 13-year trajectories of non-work physical activity and 8 contextual variables: distances from waterfronts, cycle paths, outdoor gym equipment, and squares; 2 indicators of exposure to greenness (a vegetation index - NDVI - derived from satellite images, and trees close to home); an indicator of walkability (street density), and neighborhood average income. Compared to participants living in the upper quartile of distance to waterfronts, those living in its lowest quartile had 2.6-fold higher odds (aOR: 2.62, 95% CI: 1.37-5.01) of reporting non-work PA in all 4 study waves. Similar results were observed in relation to distance to cycle paths; no independent associations were observed with other natural and built environment variables.

The Temporal Dynamics of Neighborhood Disadvantage in Childhood and Subsequent Problem Behavior in Adolescence

Research on neighborhood effects has increasingly focused on how long children have lived in a deprived neighborhood during childhood (duration), but has typically ignored when in childhood the exposure occurred (timing) and whether neighborhood circumstances were improving or deteriorating (sequencing). In this article, the authors applied sequence analysis to simultaneously capture children’s duration, timing, and sequencing of exposure to neighborhood (dis)advantage in childhood. Logistic regression analysis was subsequently used to test how different patterns of exposure are related to teenage parenthood, school dropout, and delinquent behavior. Using register data from the Netherlands, an entire cohort was followed from birth in 1995 up until age 19 in 2014 (N = 168,645, 48.8% females, 83.2% native Dutch). Compared to children who had lived in a deprived neighborhood throughout childhood, children who were exposed to neighborhood deprivation only during adolescence were found to be equally likely to become a teenage parent and were even more likely to drop out of school. Unexpectedly, children who had lived in an affluent neighborhood throughout childhood were most likely to engage in delinquent behavior. Possible explanations and implications are discussed.

Interaction Effects of Neighborhood Disadvantage and Individual Social Support on Frequency of Alcohol Use in Youth Living with HIV

Youth living with HIV (YLH) experience multiple disease-related stresses along with the same structural and developmental challenges faced by their uninfected peers; alcohol use among YLH represents a risk behavior by virtue of potential effects on youth health and increased likelihood of engaging in unprotected sex while drinking alcohol. Research aimed at better understanding the interplay of individual- and neighborhood-level influences on alcohol use for YLH is needed to inform interventions. This study examined whether socioeconomic disadvantage (SED) and social support influence, independently and through interaction, alcohol use in YLH. Data from the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) consisted of YLH across 538 neighborhoods in the United States who acquired HIV behaviorally. Neighborhood-specific data were compiled from the 2010 U.S. Census Bureau and matched with individual-level data from the ATN (N = 1,357) to examine effects that contribute to variation in frequency of alcohol use. Other drug use, being male, being non-Black, and older age were associated with greater alcohol use. Higher social support was negatively associated with alcohol use frequency. A cross-level interaction indicated that the association found between decreasing social support and increasing alcohol use frequency was weakened in areas with lower SED. Implications are discussed.

Perceptions as the crucial link? The mediating role of neighborhood perceptions in the relationship between the neighborhood context and neighborhood cohesion

This study examines the effects of neighborhood racial in-group size, economic deprivation and the prevalence of crime on neighborhood cohesion among U.S. whites. We explore to what extent residents' perceptions of their neighborhood mediate these macro-micro relationships. We use a recent individual-level data set, the American Social Fabric Study (2012/2013), enriched with contextual-level data from the U.S. Census Bureau (2010) and employ multi-level structural equation models. We show that the racial in-group size is positively related to neighborhood cohesion and that neighborhood cohesion is lower in communities with a high crime rate. Individuals' perceptions of the racial in-group size partly mediate the relationship between the objective racial in-group size and neighborhood cohesion. Residents' perceptions of unsafety from crime also appear to be a mediating factor, not only for the objective crime rate but also for the objective racial in-group size. This is in line with our idea that racial stereotypes link racial minorities to crime whereby neighborhoods with a large non-white population are perceived to be more unsafe. Residents of the same neighborhood differ in how they perceive the degree of economic decay of the neighborhood and this causes them to evaluate neighborhood cohesion differently, however perceptions of neighborhood economic decay do not explain the link between the objective neighborhood context and neighborhood cohesion.

Girls' self-efficacy in the context of neighborhood gender stratification

Scholars have linked neighborhood characteristics to self-efficacy, but few have considered how gender factors into this association. We integrate literature on neighborhoods, gender stratification, and self-efficacy to examine the association between women's relative resources among neighborhood residents and adolescents' self-efficacy. We hypothesize that girls report more self-efficacy when they reside in neighborhoods where women have more socioeconomic resources relative to men. We test this hypothesis using data from the Project on Human Development in Chicago Neighborhoods and the 1990 Census. Results from multilevel regression models with gender-interacted effects indicate the neighborhood level of women's relative resources was not associated with boys' self-efficacy. However, girls reported higher self-efficacy when women's relative resources in their neighborhoods were greater. This association persisted after including potential individual- and neighborhood-level confounding variables. Our study underscores the importance of attending to gendered processes when understanding how neighborhoods impact youth.

Intergenerational Neighborhood Attainment and the Legacy of Racial Residential Segregation: A Causal Mediation Analysis

Advances in mediation analysis are used to examine the legacy effects of racial residential segregation in the United States on neighborhood attainments across two familial generations. The legacy effects of segregation are anticipated to operate through two primary pathways: a neighborhood effects pathway and an urban continuity pathway. The neighborhood effects pathway explains why parent's exposure to racial residential segregation during their family-rearing years can influence the residential outcomes of their children later in life. The urban continuity pathway captures the temporal consistency of the built and topographical environment in providing similar residential opportunities across generations. Findings from the Panel Study of Income Dynamics and U.S. Census data indicate that the legacy effect of racial residential segregation among black families operates primarily through the neighborhood effects that influence children growing up. For white families, there is less support for the legacy effects of segregation. The findings are supported by a comprehensive mediation analysis that provides a formal sensitivity analysis, deploys an instrumental variable, and assesses effect heterogeneity. Knowledge of the legacy of segregation moves neighborhood attainment research beyond point-in-time studies of racial residential segregation to provide a deeper understanding into the ways stratified residential environments are reproduced.

Perceived Housing Discrimination and Self-Reported Health: How Do Neighborhood Features Matter?

BACKGROUND

While the association between perceived discrimination and health has been investigated, little is known about whether and how neighborhood characteristics moderate this association.

PURPOSE

We situate discrimination in the housing context and use relative deprivation and social capital perspectives to fill the knowledge gap.

METHODS

We applied multilevel logistic modeling to 9,842 adults in 830 neighborhoods in Philadelphia to examine three hypotheses.

RESULTS

First, the detrimental effect of discrimination on self-reported health was underestimated without considering neighborhood features as moderators. The estimated coefficient (β) increased from approximately 0.02 to 1.84 or higher. Second, the negative association between discrimination and self-reported health was enhanced when individuals with discrimination experience lived in neighborhoods with higher housing values (β = 0.42). Third, the adverse association of discrimination with self-reported health was attenuated when people reporting discrimination resided in neighborhoods marked by higher income inequality (β = -4.34) and higher concentrations of single-parent households with children (β = -0.03) and minorities (β = -0.01).

CONCLUSIONS

We not only confirmed the moderating roles of neighborhood characteristics, but also suggested that the relative deprivation and social capital perspectives could be used to understand how perceived housing discrimination affects self-reported health via neighborhood factors.