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INTRODUCTION Neighborhood characteristics are increasingly implicated in cognitive health disparities, but no research has investigated how the historical context of neighborhoods shapes these disparities. METHODS Four hundred sixty‐four Black (55%) and White older adults (Mage = 63.6) were drawn from the Michigan Cognitive Aging Project, a community‐based, prospective study of older adults. Participants’ addresses at baseline (2017–2020) were geocoded and linked to 2000–2017 measures of neighborhood socioeconomic status (NSES): disadvantage [NDis] and affluence [NAff]. Latent class growth analysis (LCGA) characterized 18 interpolated year trajectories of NSES across 1344 census tracts. Path analysis examined whether NSES trajectory classes mediated the association between race and a global cognition composite. RESULTS LCGA identified three NDis and two NAff trajectory classes, which were associated with participant race. Only one NDis class was associated with cognition, and it mediated the association between the Black race and cognition. DISCUSSION Disinvestment in neighborhoods may be particularly salient in race disparities in cognitive function. Highlights Race is implicated in the likelihood of living in more disadvantaged neighborhoods. Historical trends in neighborhood disadvantage are associated with cognitive function in older adulthood. Identifying patterns of neighborhood change may inform neighborhood‐level interventions.

Abstract Area-level neighborhood socioeconomic status (NSES) is often measured without consideration of spatial autocorrelation and variation. In this paper, we compared a non-spatial NSES measure to a spatial NSES measure for counties in the USA using principal component analysis and geographically weighted principal component analysis (GWPCA), respectively. We assessed spatial variation in the loadings using a Monte Carlo randomization test. The results indicated that there was statistically significant variation (p = 0.004) in the loadings of the spatial index. The variability of the census variables explained by the spatial index ranged from 60 to 90%. We found that the first geographically weighted principal component explained the most variability in the census variables in counties in the Northeast and the West, and the least variability in counties in the Midwest. We also tested the two measures by assessing the associations with county-level diabetes prevalence using data from the CDC’s US Diabetes Surveillance System. While associations of the two NSES measures with diabetes did not differ for this application, the descriptive results suggest that it might be important to consider a spatial index over a global index when constructing national county measures of NSES. The spatial approach may be useful in identifying what factors drive the socioeconomic status of a county and how they vary across counties. Furthermore, we offer suggestions on how a GWPCA–based NSES index may be replicated for smaller geographic scopes.

Neuroimaging studies using the social-exclusion paradigm Cyberball indicate increased dorsal anterior cingulate cortex (dACC) and right insula activity as a function of exclusion. However, comparatively less work has been done on how social status factors may moderate this finding. This study used the Cyberball paradigm with 85 (45 females) socio-economically diverse participants from a larger longitudinal sample. We tested whether neighborhood quality during adolescence would predict subsequent neural responding to social exclusion in young adulthood. Given previous behavioral studies indicating greater social vigilance and negative evaluation as a function of lower status, we expected that lower adolescent neighborhood quality would predict greater dACC activity during exclusion at young adulthood. Our findings indicate that young adults who lived in low-quality neighborhoods in adolescence showed greater dACC activity to social exclusion than those who lived in higher quality neighborhoods. Lower neighborhood quality also predicted greater prefrontal activation in the superior frontal gyrus, dorsal medial prefrontal cortex and the middle frontal gyrus, possibly indicating greater regulatory effort. Finally, this effect was not driven by subsequent ratings of distress during exclusion. In sum, adolescent neighborhood quality appears to potentiate neural responses to social exclusion in young adulthood, effects that are independent of felt distress.

Patients are often advised to initiate a physical activity program by walking for transportation or leisure. This study explored whether neighborhood factors beyond the individual might affect compliance. We examined the associations between total walking and neighborhood factors in a multi-ethnic population-based sample in California and the roles race/ethnicity plays in these associations. Cross-sectional study Individual-level data were obtained from the 2003 California Health Interview Survey. Participants' census tracts were linked to Census 2000 data to capture neighborhood SES. The dependent variable was self-reported walking at recommended levels. Neighborhood SES was measured by a scale of 4 Census-based variables (alpha = 0.83). Social cohesion was measured by a scale tapping the extent of perceived social connectedness, trust, and solidarity among neighbors (alpha = 0.70). Neighborhood access to a park, playground, or open space was measured by a single item. Safety was measured by a scale of three items (alpha = 0.66). We performed a series of multiple logit models with robust variance estimates while taking complex survey design into account. Neighborhood social cohesion (odds ratio [OR] = 1.09, 95% CI = 1.04, 1.14) and access to a park, playground, or open space (OR = 1.26, 95% CI = 1.16, 1.36) were significant environmental correlates of walking at recommended levels, independent of individual socio-demographics. Subgroup analysis showed that neighborhood effects were different by race/ethnicity. Neighborhood physical and social environmental factors are significantly associated with walking at recommended levels. Being aware of the ways that the environment could affect a patient's compliance with PA recommendations may help physicians tailor recommendations to circumstances.

Purpose: The relationship between obesity and prostate cancer (CaP) treatment failure is complex and may vary by patient- and neighborhood-level educational attainment. We evaluated whether patient- and neighborhood-level education is associated with the effect of obesity on biochemical recurrence. Methods: Seven hundred and forty-six CaP cases were classified into four groups: Concordant Low–Low: less educated cases (≤4 years college) living inless educated neighborhood (below-median proportion of college-educated residents; n = 164); Concordant High–High: highly educated cases (≥4 years college) living in a highly educated neighborhood (above-median proportion of college-educated residents; n = 326); Discordant Low–High: less educated cases living in a highly educated neighborhood (n = 69); and Discordant High–Low: highly educated cases living in a less educated neighborhood (n = 187). Cox regression models were used to examine associations between obesity and biochemical (PSA) failure after prostatectomy stratified by the concordant/discordant groups. Results: The association of obesity with biochemical failure varied significantly by educational concordance/discordance (p = 0.007). Obesity was associated with risk of biochemical failure for less educated cases residing in less educated neighborhoods (HR 3.72, 95 % CI 1.30–10.65). The relationship was not significant for other concordant/discordant groups. Conclusions: Obesity effects on CaP outcomes vary by multilevel educational discordance/concordance. Strategies to decrease prostate cancer risk of progression may focus on reduction in obesity, particularly for less educated cases residing in less educated neighborhoods.

Using data on cases of intimate assault, we offer a relatively rare examination of disparities in court dispositions across multiple stages of case processing. In this context we introduce the theoretical and empirical relevance of considering the characteristics of defendants' neighborhoods as possible extralegal influences on disposition severity. Bilevel analyses of 2,948 males arrested for misdemeanor assaults on intimates in Cincinnati reveal significant disparities based on neighborhood socioeconomic status (SES) in decisions related to charging, full prosecution, conviction, and incarceration, even when adjusting for compositional differences in defendant's race and SES across neighborhoods. Implications are discussed for the broader literature on extralegal disparities.

Summary Cross-sectoral interventions in low socio-economic status (SES) neighbourhoods are an important contribution to reducing social inequities in health. This article investigates the health perceptions among professionals from public health, social and place-based initiatives, all working in low SES neighbourhoods in Denmark, and what implications these perceptions have on their work with health promotion and on collaboration between the initiatives. Empirically, we draw on 63 semi-structured interviews with frontline professionals across area-based initiatives (ABIs), social housing development plans (SHDPs) and municipal public health departments (PHDs). Our study shows that professionals across all sectors perceive it as important to work with a broad understanding of health to motivate and reach hard-to-reach groups in low SES neighbourhoods as opposed to a more narrow perspective on health and health promotion focussed on lifestyles and monitoring risks. The aims and practice of ABIs and SHDPs support work in line with a broad understanding of health, whereas frontline workers from the PHDs in practice more often end up applying a more narrow understanding of health. Consequently, real collaboration is infrequent and often confined to the coordination of activities. This limits the possibilities of implementing effective interventions in low SES neighbourhoods to reduce inequities in health. This article claims that there is a greater potential for synergy among different initiatives in low SES neighbourhoods if a broad understanding of health can be applied in practice across sectors.

The current study aims to address socioeconomic status (SES) as a moderating variable between psychopathic traits and conduct problems in a sample of 2432 Dutch adolescents (Mage = 14.50 years, SD = 1.67, 56% male). Both family and neighborhood SES were measured, with income as a proxy for the level of SES. There were small but significant positive correlations between the behavioral and interpersonal dimensions of psychopathy and family SES, a small but significant negative correlation between the affective dimension and neighborhood SES, and a small and significant positive correlation between neighborhood SES and the behavioral dimension of psychopathy. Results further showed that the relations between youth psychopathic traits were moderated by neither family SES nor neighborhood SES. The results suggest that the relations between psychopathic traits and conduct problems are equally strong for lower and higher SES youth. Taken together, these findings warrant the conclusions that SES does not play a role as a moderator in the relation between psychopathy and conduct problems.

This chapter contains sections titled: Summary and recommendations for practice Introduction The physical environment Discussion and conclusions References

Neighborhood-level socioeconomic variables, such as the proportion of minority and low-income residents, have been associated with a greater density of tobacco retail outlets (TROs), though less is known about the degree to which these neighborhood indicators are related to vape shop outlet (VSO) density. Many studies of TROs and neighborhood characteristics include only a small set of variables and also fail to take into account the correlation among these variables. Using a carefully curated database of all TROs and VSOs in Virginia (2016–2018), we developed a Bayesian model to estimate a neighborhood disadvantage index and examine its association with rates of outlets across census tracts while also accounting for correlations among variables. Models included 12 census tract variables from the American Community Survey. Results showed that increasing neighborhood disadvantage was associated with a 63% and 64% increase in TRO and VSO risk, respectively. Important variables associated with TRO rates included % renter occupied housing, inverse median gross rent, inverse median monthly housing costs, inverse median monthly housing costs, and % vacant housing units. Important variables associated with VSO rates were % renter occupied housing and % Hispanic population. There were several spatial clusters of significantly elevated risk for TROs and VSOs in western and eastern Virginia.