Hispanics/Latinos are disproportionately burdened by nutrition-related diseases but immigrants appear healthier than their US-born counterparts. Neighborhoods characterized by high Hispanic/Latino immigrant segregation may provide environments to support healthier diets.
To examine whether or not Hispanic/Latino immigrant segregation is associated with frequency of away-from-home food consumption and diet quality in a large, diverse sample of Hispanic/Latino adults.
Cross-sectional baseline data from the Hispanic Community Health Study/Study of Latinos were analyzed (2008-2011). Residential addresses were geocoded and linked to census tract-level 2008-2012 American Community Survey data. Hispanic/Latino immigrant segregation was characterized using the local Getis-Ord Gi∗ statistic, a spatial clustering measure that quantifies the extent to which demographically similar neighborhoods group together.
Participants were 15,661 adults in the Hispanic Community Health Study/Study of Latinos, a population-based study of Hispanic/Latinos aged 18 to 74 years from 4 US regions (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA).
Away-from-home food consumption was assessed using a modified dietary behavior questionnaire. Diet quality was assessed using the Alternate Healthy Eating Index 2010 (range = 0 to 110) from two 24-hour recalls.
Multilevel linear and logistic regression with multilevel weights were used to estimate associations between Hispanic/Latino immigrant segregation (low, medium, or high) with Alternate Healthy Eating Index 2010 score, and away-from-home food consumption (≥3 vs <3 times/week) in separate models, respectively. The mediating role of neighborhood poverty and whether or not associations differed by nativity were also assessed.
Higher levels of segregation were associated with higher adjusted mean Alternate Healthy Eating Index 2010 scores; estimates were further magnified after accounting for neighborhood poverty (low segregation: reference category; medium segregation: β = 2.43, 95% CI 1.10 to 3.77; and high segregation: β = 1.63, 95% CI .43 to 2.82). Associations were strongest among the foreign-born compared with the US-born. There was no association between segregation and away-from-home food consumption.
These results highlight the potential role of Hispanic/Latino immigrant neighborhoods in supporting healthy diets among residents, especially immigrants.

Residential racial segregation in the U.S. has been hypothesized as a fundamental cause driving health disparities across racial groups. Potential mechanisms include economic and social marginalization, subsequent constrained opportunities, and high stress. Yet evidence on residential segregation\'s association with health among Black and White children-particularly longitudinally-is sparse. This study aims to address this gap. We used data from the Panel Study of Income Dynamics (PSID), a national longitudinal study of U.S. households, analyzing information on 1,251 Black and 1,427 White children who participated in the Child Development Supplement (CDS) at least twice (survey waves 1997, 2002, 2007, 2014). We fit individual fixed-effects models to estimate the within-person association of neighborhood-level residential segregation, measured with local Getis-Ord G* statistics, with three outcomes (general health, weight status, and behavioral problems). We examined heterogeneous effects by age and sex. We also examined associations between health and childhood segregation trajectories, i.e., the pattern of children\'s residential segregation exposures from birth through when their health outcomes were measured, providing additional insight on dynamic experiences of segregation. In fixed effects models, among Black children, higher segregation was associated with worse self-rated health, especially for Black children who were older (aged 11-17 years). In trajectory models, among White children, moving out of highly segregated neighborhoods was associated with a lower probability of poor self-rated health, while moving into those neighborhoods or back and forth between neighborhood types were both associated with increased behavioral problems. Our findings highlight the importance of early-life residential segregation in shaping persistent racial health disparities, as well as the costs of segregation for all children living in highly segregated neighborhoods.

We investigated associations between neighborhood racial/ethnic segregation and cognitive change.
We used data (n = 1712) from the Multi-Ethnic Study of Atherosclerosis. Racial/ethnic segregation was assessed using Getis-Ord (Gi*) z-scores based on American Community Survey Census tract data (higher Gi* = greater spatial clustering of participant\'s race/ethnicity). Global cognition and processing speed were assessed twice, 6 years apart. Adjusted multilevel linear regression tested associations between Gi* z-scores and cognition. Effect modification by race/ethnicity, income, education, neighborhood socioeconomic status, and neighborhood social support was tested.
Participants were on average 67 years old; 43% were White, 11% Chinese, 29% African American/Black, 17% Hispanic; 40% had high neighborhood segregation (Gi* > 1.96). African American/Black participants with greater neighborhood segregation had greater processing speed decline in stratified analyses, but no interactions were significant.
Segregation was associated with greater processing speed declines among African American/Black participants. Additional follow-ups and comprehensive cognitive batteries may further elucidate these findings.
A study of neighborhood racial/ethnic segregation and change in cognition. Study was based on a racially and geographically diverse, population-based cohort of older adults. Racial/ethnic segregation (clustering) was measured by the Getis-ord (Gi*) statistic. We saw faster processing speed decline among Black individuals in segregated neighborhoods.

Social and health disparities persist in Sweden despite a high quality and universally accessible welfare system. One way of bridging social gaps is through social innovations targeting the most vulnerable groups. The South African Philani model, a social innovation for peer support aimed at pregnant women and mothers of young children, was adapted to the local context in southern Sweden. This study aimed to document and analyze the process of adapting the Philani model to the Swedish context.
Eight semi-structured interviews and three workshops were held with eleven stakeholders and peer supporters in the implementing organization and its steering committee. The data were analyzed using thematic analysis.
The analysis resulted in five main themes and fifteen sub-themes representing different aspects of how the peer support model was contextualized. The main themes described rationalizations for focusing on social determinants rather than health behaviors, using indirect mechanisms and social ripple effects to achieve change, focusing on referring clients to established public and civil society services, responding to a heterogeneous sociocultural context by recruiting peer supporters with diverse competencies, and having a high degree of flexibility in how contact was made with clients and how their needs were met.
The South African Philani model was contextualized to support socially disadvantaged mothers and expectant mothers among migrant communities in Sweden. In the process, adaptations of the intervention\'s overall focus, working methods, and recruitment and outreach strategies were motivated by the existing range of services, the composition of the target group and the conditions of the delivering organization. This study highlights various considerations that arise when a social innovation developed in a low- or middle-income context is implemented in a high-income context.

BACKGROUND: Historically, in the United States, nursing programs reflected practices that systematically discriminated against Black students and nurses.
OBJECTIVE: The authors investigated historical nursing school admission policies to determine if racist practices existed that impeded Black students\' ability to access formal nurse training programs. This study further examined whether those historical discriminating practices continue to exist in schools of nursing today and if admission policies in a Southern School of Nursing contributed to inequitable admission of students. Current recommendations for increasing diversity, equity and inclusion in nursing schools will be addressed.
METHODS: This study combines social-historical archival research with a case study of the racial breakdown of applied versus admitted nursing students at a Southern university.
RESULTS: School of Nursing admission data (2019-2021) demonstrate discrepancies in the distribution of admitted students by race, reflecting the ongoing effects of systematic discrimination.
CONCLUSIONS: In the United States, the nursing profession is pursuing strategies to promote diversity, equity, and inclusion. However, the lingering effects of policies that systematically built barriers keeping underrepresented groups from earning a nursing education persist. Holistic admission is one way that nursing programs can address this inequity.

In the United States, concentrations of criteria air pollutants have declined in recent decades. Questions remain regarding whether improvements in air quality are equitably distributed across subpopulations. We assessed spatial variability and temporal trends in concentrations of particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and ozone (O3) across North Carolina from 2002-2016, and associations with community characteristics. Estimated daily PM2.5 and O3 concentrations at 2010 Census tracts were obtained from the Fused Air Quality Surface Using Downscaling archive and averaged to create tract-level annual PM2.5 and O3 estimates. We calculated tract-level measures of: racial isolation of non-Hispanic Black individuals, educational isolation of non-college educated individuals, the neighborhood deprivation index (NDI), and percentage of the population in urban areas. We fitted hierarchical Bayesian space-time models to estimate baseline concentrations of and time trends in PM2.5 and O3 for each tract, accounting for spatial between-tract correlation. Concentrations of PM2.5 and O3 declined by 6.4 μg/m3 and 13.5 ppb, respectively. Tracts with lower educational isolation and higher urbanicity had higher PM2.5 and more pronounced declines in PM2.5. Racial isolation was associated with higher PM2.5 but not with the rate of decline in PM2.5. Despite declines in pollutant concentrations, over time, disparities in exposure increased for racially and educationally isolated communities.

Based on molecular dynamics simulations, the creep behaviors of nanocrystalline Ni before and after the segregation of Mo atoms at grain boundaries are comparatively investigated with the influences of external stress, grain size, temperature, and the concentration of Mo atoms taken into consideration. The results show that the creep strain rate of nanocrystalline Ni decreases significantly after the segregation of Mo atoms at grain boundaries due to the increase of the activation energy. The creep mechanisms corresponding to low, medium, and high stress states are respectively diffusion, grain boundary slip and dislocation activities based on the analysis of stress exponent and grain size exponent for both pure Ni and segregated Ni-Mo samples. Importantly, the influence of external stress and grain size on the creep strain rate of segregated Ni-Mo samples agrees well with the classical Bird-Dorn-Mukherjee model. The results also show that segregation has little effect on the creep process dominated by lattice diffusion. However, it can effectively reduce the strain rate of the creep deformation dominated by grain boundary behaviors and dislocation activities, where the creep rate decreases when increasing the concentration of Mo atoms at grain boundaries within a certain range.

In the present work, atomistic modeling based on the quasiparticle approach (QA) was performed to establish general trends in the segregation of solutes with different atomic size at symmetric ⟨100⟩ tilt grain boundaries (GBs) in α-Fe. Three types of solute atoms X1, X2 and X3 were considered, with atomic radii smaller (X1), similar (X2) and larger (X3) than iron atoms, respectively, corresponding to phosphorus (P), antimony (Sb) and tin (Sn). With this, we were able to evidence that segregation is dominated by atomic size and local hydrostatic stress. For low angle GBs, where the elastic field is produced by dislocation walls, X1 atoms segregate preferentially at the limit between compressed and dilated areas. Contrariwise, the positions of X2 atoms at GBs reflect the presence of tensile and compressive areal regions, corresponding to extremum values of the σXX and σYY components of the strain tensor. Regarding high angle GBs Σ5 (310) (θ = 36.95°) and Σ29 (730), it was found that all three types of solute atoms form Fe9X clusters within B structural units (SUs), albeit being deformed in the case of larger atoms (X2 and X3). In the specific case of Σ29 (730) where the GB structure can be described by a sequence of |BC.BC| SUs, it was also envisioned that the C SU can absorb up to four X1 atoms vs. one X2 or X3 atom only. Moreover, a depleted zone was observed in the vicinity of high angle GBs for X2 or X3 atoms. The significance of this research is the development of a QA methodology capable of ascertaining the atomic position of solute atoms for a wide range of GBs, as a mean to highlight the impact of the solute atoms\' size on their locations at and near GBs.

The ability to sustain a coherent narrative about experiences of trauma and loss is a prominent feature of secure-autonomous attachment states of mind as assessed in narrative tasks such as the Adult Attachment Interview. The current study examines the clinical application of the concepts of narrative coherence and discourse segregation within a therapeutic intervention for whole families. Bumps in the Road is a family drawing task, which aims to facilitate the co-construction of family narratives about adversities such as trauma, loss and hardship. The technique aims to increase the family\'s narrative coherence about such challenging events. The paper first presents a description of the task itself together with the discourse theories of defensive processing of adverse events. The study also presents pilot quantitative findings from 19 parents on the psychometric properties of a coding system of the families\' discourses in undertaking the task and the therapist\'s techniques in administering the task. The predictive association of coding of the narratives were examined as predictors of change in internalising and externalising symptoms in the referred child, using the Child Behaviour Checklist. Findings showed that therapist competence in administration of the task did significantly predict the magnitude of treatment efficacy. The current study is the first presentation of this novel therapeutic task and sets a platform for further research on the use of narrative tasks and the formal coding of discourse in therapeutic work with children and families.

Resting-state functional brain connectivity (rsFC) is in wide use for the investigation of a variety of cognitive neuroscience phenomena. In the first phase of this study, we explored the changes in EEG-reconstructed rsFC in young vs. older adults, in the both the open-eyes (OE) and the closed-eyes (CE) conditions. The results showed significant differences in several rsFC network metrics in the two age groups, confirming and detailing established knowledge that aging modulates brain functional organisation. In the study\'s second phase we investigated the role of rsFC architecture on cognitive performance through a time-based Prospective Memory task involving participants who monitored the passage of time to perform a specific action at an appropriate time in the future. Regression models revealed that the monitoring strategy (i.e. the number of clock checks) can be predicted by rsFC graph metric, specifically, eccentricity and betweenness in the OE condition, and assortativity in the CE condition. These results show for the first time how metrics qualifying functional brain connectivity at rest can account for the differences in the way individuals strategically handle cognitive loads in the Prospective Memory domain.