Structural barriers explain the link between negative community re-entry experiences and motives for illegal behavior in street-identified Black men and women

This study examines how the re-entry process is related to structural barriers in the community and to motives for engaging in illegal behavior-two key risk factors for recidivism. We analyzed survey data collected on perceptions of community re-entry, employment opportunities, neighborhood violence, and illegal behavior motives from 379 formerly incarcerated and street-identified Black-American community members residing in Wilmington, Delaware (Mage  = 32.3/8.9 years old; 77.0% men; 100% Black) by employing Street Participatory Action Research (Street PAR) methodology. We found that negative perceptions of re-entry correlated positively with (i) hardship caused by structural barriers in the community, specifically blocked employment opportunities and neighborhood violence, and (ii) motives for engaging in illegal behavior. Notably, the link between negative perceptions of re-entry and motives for illegal behavior became significantly weaker when the influence of structural barriers on these individual-level factors was included in a multivariate model. Results suggest negative views of the re-entry process reflect the resource-scarce and stressful environments people are living in, and structural barriers can account for the relationship between negative re-entry experiences and why individuals are motivated to engage in illegal behavior. Findings underscore the importance of improving the economic conditions of communities with high numbers of returning citizens.

Place Attachment and Aging in Place: Preferences and Disruptions

This paper examines the links between place attachment and older persons' preferences to age in place, and factors that disrupt these preferences. We use data from the 2001-2021 Household, Income and Labour Dynamics in Australia Survey and panel-data modelling to confirm strong associations between several place attachment dimensions and aging-in-place preferences. Strong ties to children, strong social capital, residence in social housing, homeownership status, housing wealth, and home and neighborhood satisfaction are all positively linked to a stronger preference to age in place. Our findings reveal important differences between older homeowners and older non-owners. For owners, closeness to children is a strong predictor of aging-in-place preferences, although mortgage debt can trigger involuntary moves. For non-owners, tenure security achieved through longer durations at one's address of residence is linked to stronger aging-in-place preferences. However, private renters are more often exposed to involuntary moves. We discuss the policy implications of these disruptions.

Age-Friendly and Climate Resilient Communities: A Grey-Green Alliance

The world's population is aging while the Earth's climate is warming. The climate change crisis poses threats to our aging population and requires concerted action. Steps to address these threats present opportunities for improving livability for people of all ages while addressing the underlying drivers of climate change. Yet prominent action frameworks such as the World Health Organization's (WHO) Global Network of Age-Friendly Cities and Communities do not explicitly include climate resilience and sustainability as essential elements of age-friendly communities. In this essay, we argue for the creation of a cross-cutting and interdependent sustainability and climate resilience domain to complement the existing interconnected WHO age-friendly domains of community and healthcare, communication and information, housing, civic participation and employment, outdoor spaces and buildings, social participation, respect and social inclusion, and transportation. These domains drive the community engagement, planning, action, and evaluation required by the communities who join the Global Network for Age-Friendly Cities and Communities. The age-friendly network currently includes 1,445 communities, across 51 countries. We discuss how the alignment of age-friendly and climate resilience networks strengthens local action and global advocacy through a shared vision for an age-friendly and climate resilient future.

Associations of Subjective Memory with Life Space and Neighborhood Built Environment in Older Adults in the ACTIVE Study

Objectives: To investigate the longitudinal association of life space and neighborhood and built environment (NBE) with subjective memory among individuals 65 and older, and the mediating role of depressive symptoms, a major correlate of life space mobility, NBE, and subjective memory. Methods: We examined community-dwelling participants in the Advanced Cognitive Training for Independent and Vital Elderly study (N = 2,622, Mean age = 73.7 years, 24.9% Black) across annual assessments of up to 3 years. Results: Baseline life space and NBE were positively associated with subjective memory, and these associations were partly mediated by depressive symptoms. Over time, higher baseline life space predicted a better subjective memory as one aged. Life space was concurrently associated with subjective memory across time, mediated by concurrent depressive symptoms. Discussion: Potentially modifiable environmental factors such as life space and NBE appear to influence level and change in subjective memory as we age. Interventions supporting movement in our environments may help offset subjective memory problems, a potential early sign of dementia.

PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-level Overdose Risk in Rhode Island

BACKGROUND

Drug overdose persists as a leading cause of death in the United States, but resources to address it remain limited. As a result, health authorities must consider where to allocate scarce resources within their jurisdictions. Machine learning offers a strategy to identify areas with increased future overdose risk to proactively allocate overdose prevention resources. This modeling study is embedded in a randomized trial to measure the effect of proactive resource allocation on statewide overdose rates in Rhode Island (RI).

METHODS

We used statewide data from RI from 2016 to 2020 to develop an ensemble machine learning model predicting neighborhood-level fatal overdose risk. Our ensemble model integrated gradient boosting machine and super learner base models in a moving window framework to make predictions in 6-month intervals. Our performance target, developed a priori with the RI Department of Health, was to identify the 20% of RI neighborhoods containing at least 40% of statewide overdose deaths, including at least one neighborhood per municipality. The model was validated after trial launch.

RESULTS

Our model selected priority neighborhoods capturing 40.2% of statewide overdose deaths during the test periods and 44.1% of statewide overdose deaths during validation periods. Our ensemble outperformed the base models during the test periods and performed comparably to the best-performing base model during the validation periods.

CONCLUSIONS

We demonstrated the capacity for machine learning models to predict neighborhood-level fatal overdose risk to a degree of accuracy suitable for practitioners. Jurisdictions may consider predictive modeling as a tool to guide allocation of scarce resources.

Ethnic networks in neighborhoods affect mental health: Evidence from a quasi-random assignment of applicants in the public social housing system

This paper examines the impact of residence-based ethnic networks on mental health; such networks are defined as the concentration of residents from the same country of origin in a neighborhood. To estimate the effect, we utilize administrative registry data, together with data on quasi-random assignment of apartments to non-Western households with housing needs to various neighborhoods. After controlling for individual characteristics, time-invariant neighborhood characteristics, and general practitioners (GP) fixed effects, we find that a 1-percentage-point increase in the concentration of residence-based co-ethnics (RBCEs) increases the probability of being treated with psychiatric medications by 0.7-percentage point over a 5-year period after the assignment. With 19% of the population being treated with psychiatric medications the year before assignment, the result translates into an effect size of 3.7%. The results indicate that relatively high concentrations of co-ethnics treated with psychiatric medications increase the probability of being treated with psychiatric medications. The positive impact on treatment with psychiatric medication reflects an increase in the demand for these drugs when moving into a neighborhood with neighbors of the same ethnicity. If new residents are in good mental health condition when moving, these results suggest that moving into a neighborhood with a high co-ethic concentration worsens mental health status. However, as the population in this study is a vulnerable group an increase in treatment with psychiatric medications likely reflects that untreated mental health problems are treated, and the mental health status improved. The group of non-Western immigrants in this study differs significantly from the population in general, thus, results may not be generalized to all non-Western immigrants.

A Scoping Review of Neighborhoods and Cognitive Health Disparities Among US Midlife and Older Adults

Objectives: The neighborhood environment may be an important determinant of racial/ethnic disparities in cognitive function. To understand how neighborhoods are linked to cognition across racial/ethnic groups, this scoping review organizes research investigating relationships between multiple neighborhood domains and cognitive function in diverse samples of US midlife and older adults. Methods: PubMed/MEDLINE, Web of Science, and CAHL were used to extract quantitative disparities-focused studies (n = 17) that included US adults ages 50+, racial/ethnic minoritized populations, cognitive dependent variable(s), and neighborhood-level independent variable(s) published from January 2010 to October 2021. Results: Studies demonstrate variation within and between racial/ethnic groups in how neighborhood factors are associated with cognition. Economically and socially advantaged neighborhoods were associated with better cognition. Findings were mixed for built and neighborhood composition measures. Discussion: More research with greater racial/ethnic representation is needed to disentangle which aspects of the neighborhood are most salient for specific cognitive function domains across diverse populations.

Community perceptions of contributors and solutions related to neighborhood violent crime: A qualitative interview study

The current study is part of a community engaged planning phase and aimed to identify perceptions related to the prevalence of violent crime, crime contributors, the relationship between the community and law enforcement, and potential interventions and solutions. In March 2021, semistructured interviews were conducted with individuals from five groups who resided or worked in Bessemer, Alabama: (1) Law Enforcement, (2) Residents, (3) Civic Leaders, (4) Community Leaders, and (5) Victims of Crime. Interviews lasted approximately 60 min and were audio recorded, transcribed, and analyzed according to the guidelines of thematic analysis using NVivo 12. Emerging themes were examined in accordance with the CDC Social-Ecological Model: A Framework for Prevention. Participants (N = 18) were 50.0% female and 77.8% African American with an age range of 25-59 (mean = 43.4 years). Themes that emerged related to crime were: (1) impact, (2) contributors, and (3) solutions. Results indicate that impacts of violent crime at the individual level focused on fear, which led to widespread mental health issues. Relationship level impacts included a lack of trust of law enforcement and neighbors, and community level impacts were decreased neighborhood social cohesion as well as decreased safety. At the societal level, the poor reputation of the city was consistently highlighted. For contributors of crime, being a youth under age 30, drugs, and money were discussed as factors at the individual level. At the relationship level, participants mentioned poor parenting and gangs as crime contributing factors to violent crime. Furthermore, contributing issues related to underresourced schools as well as a poor relationship with law enforcement were brought up at the community level. Similarly, poverty was the overarching contributing issue at the societal level. Solutions that emerged included: education and training in life skills, focusing on young people, family/parenting, conflict resolution programs, programs within schools, improved relationships with law enforcement, and inclusive economic opportunities. Intervention plans are discussed that can merge these stakeholder findings with other data sources.

Modelling Age-Varying Associations among Group Memberships, Neighborhood Connectedness, and Well-Being

Individuals who maintain group memberships in their community tend to experience improved well-being relative to those who participate in few or no groups. There are, however, few investigations targeting variability in the correlates of group membership across the lifespan. The present examination probed age-related variability in the association between group memberships and subjective connectedness as well as well-being. Participants included 3,940 (mean age = 45.61 years, standard deviation [SD] = 15.62) Canadian and American respondents who completed an online survey during August of 2020 (i.e., amidst the COVID-19 pandemic). Time-varying effects modelling was used to estimate coefficients for group membership at each age within the sample. Memberships in social groups positively predicted connectedness, and this association was strongest in middle-to-older age; a similar association was also evident when predicting well-being. Connectedness was also a positive predictor of well-being throughout most ages. These findings build on emerging research conveying how group memberships have significance for people currently in middle-to-older age.

Associations between the built environment and physical activity in children, adults and older people: A narrative review of reviews

BACKGROUND

Physical activity is essential for promoting public health, and it is affected by the built environment at population level. Extensive evidence exists on the associations between the built environment and physical activity, but results are inconclusive for different age groups. Therefore, we conducted a narrative review summarizing existing reviews on the associations between the built environment and physical activity for children, adults and older people and synthesized their findings.

METHODS

We followed the PRISMA 2020 review procedure and searched for systematic reviews published between January 2010 and April 2022 in seven databases (Scopus, Web of Science, Medline, PsycINFO, EMBASE, SocIndex and Cochrane Library) using keywords related to the built environment, urban interventions, physical activity and health.

RESULTS

The selection process yielded 29 reviews with moderate to high quality. From these reviews, we identified 21 built environment characteristics, several of which were positively related to physical activity. For example, children and older people's physical activity was positively associated with pedestrian-friendly features and general safety. Furthermore, adults and older people's physical activity was positively related to the availability and accessibility of shops/commercial services and parks/open spaces. Lastly, the walkability index was positively associated with physical activity in every age group.

CONCLUSION

Our findings provide valuable information on creating health-promoting urban environments for practitioners. Further research is needed to understand which characteristics make urban environments age friendly for physical activity. Special attention should be paid to less explored promising characteristics such as street lighting and the quality of green spaces.

Neighborhood built and food environment in relation to glycemic control in people with type 2 diabetes in the moving to health study

OBJECTIVE

To examine whether built environment and food metrics are associated with glycemic control in people with type 2 diabetes.

RESEARCH DESIGN AND METHODS

We included 14,985 patients with type 2 diabetes using electronic health records from Kaiser Permanente Washington. Patient addresses were geocoded with ArcGIS using King County and Esri reference data. Built environment exposures estimated from geocoded locations included residential unit density, transit threshold residential unit density, park access, and having supermarkets and fast food restaurants within 1600-m Euclidean buffers. Linear mixed effects models compared mean changes of HbA1c from baseline at 1, 3 (primary) and 5 years by each built environment variable.

RESULTS

Patients (mean age = 59.4 SD = 13.2, 49.5% female, 16.6% Asian, 9.8% Black, 5.5% Latino/Hispanic, 57.1% White, 20% insulin dependent, mean BMI = 32.7±7.7) had an average of 6 HbA1c measures available. Participants in the 1st tertile of residential density (lowest) had a greater decline in HbA1c (-0.42, -0.43, and -0.44 in years 1, 3, and 5 respectively) than those in the 3rd tertile (HbA1c = -0.37 at 1- and 3-years and -0.36 at 5-years; all p-values <0.05). Having any supermarkets within 1600 m of home was associated with a greater decrease in HbA1c at 1-year and 3-years compared to having none (all p-values <0.05).

CONCLUSIONS

Lower residential density and better proximity to supermarkets may benefit HbA1c control in people with people with type 2 diabetes. However, effects were small and indicate limited clinical significance.

Spatial scale effects on associations between built environment and cognitive function: Multi-Ethnic Study of Atherosclerosis

Built environments have the potential to favorably support cognitive function. Despite growing work on this topic, most of the work has ignored variation in the spatial scale of the effect. The issue with spatial scale effects is that the size and shape of the areal unit within which built environment characteristics are measured naturally influence the built environment exposure metric and thus the estimated associations with health. We used spatial distributed lag modeling (DLM) to estimate how associations between built environment exposures (walkable destinations [WD], social destinations [SD]) and change in cognition varied across distance of these destinations from participants' residences. Cognition was assessed as maintained/improved processing speed (PS) and global cognition (GC). Person-level data from Exam 5 (2010-2012) and Exam 6 (2016-2018) of the Multi-Ethnic Study of Atherosclerosis was used (N = 1380, mean age 67). Built environment data were derived from the National Establishment Time Series. Higher availability of walkable and social destinations at closer distance from participants' residence was associated with maintained/improved PS. The adjusted associations between maintained/improved PS and destinations waned with increasing distance from the residence; associations were evident until approximately 1.9-km for WD and 1.5-km for SD. Associations were most apparent for participants living in areas with high population density. We found little evidence for associations between change in GC and built environment at any distance. These results highlight the importance of identifying appropriate spatial scale to understand the mechanisms for built environment-cognition associations.

Dynamic greenspace exposure, individual mental health status and momentary stress level: A study using multiple greenspace measurements

Previous research on the relationship between greenspace exposure and mental health has largely taken a residence-based approach to exposure assessment, ignoring the dynamic nature of people's daily movements. Moreover, most studies evaluated greenspace from an overhead perspective, whereas an eye-level perspective could potentially offer a more comprehensive understanding of individuals' encounters with greenspaces. Based on our survey in two communities in Hong Kong (Sham Shui Po and Tin Shui Wai), we captured people's eye-level greenspace exposure based on their travel routes and visited places using GPS trajectories, streetscape images, and deep learning methods. We then compared the results with those obtained with an overhead greenness exposure measure (the normalized difference vegetation index [NDVI]). The results indicate that these two greenspace measurements are not associated with each other, implying that they encompass distinct facets of greenspace, which may have different effects on mental health. Further, we examined the associations between various greenspace exposure measures and mental health using GPS trajectories and ecological momentary assessment data. The results reveal a negative association between eye-level greenspace exposure and momentary stress, while no similar association was observed when using the top-down NDVI as an indicator of greenspace exposure. Moreover, compared to the total volume of greenspace exposure, the distance-weighted average of greenspace exposure based on dynamic mobility contexts has a stronger association with individual overall mental health. Lastly, the relationship between greenspace exposure and mental health varies between the two communities with different socio-economic attributes. The study indicates that policymakers should focus not only on residential neighborhoods and overhead greenspace but also consider the dynamic environments and socio-economic contexts that people are embedded in.

The role of neighborhood deprivation in the cervicovaginal microbiota

BACKGROUND

Lactobacillus-deficient cervicovaginal microbiota is associated with spontaneous preterm birth and is more common among Black individuals. Persistent racial segregation in the United States has led to differential neighborhood exposures by race that can affect pregnancy outcomes. The extent to which neighborhood exposures may explain racial differences in the cervicovaginal microbiota is unknown.

OBJECTIVE

This study aimed to determine whether neighborhood deprivation, defined as material community deprivation, is associated with a Lactobacillus-deficient cervicovaginal microbiota in a prospective cohort of pregnant individuals. Our hypothesis was that racial differences in neighborhood deprivation may explain the higher prevalence of Lactobacillus-deficient cervicovaginal microbiota in Black birthing people.

STUDY DESIGN

This study analyzed data from Motherhood and Microbiome, a prospective pregnancy cohort enrolled from prenatal clinics in a single hospital system 2013-2016 in which a Lactobacillus-deficient cervicovaginal microbiota was previously shown to be associated with spontaneous preterm birth. This study geocoded addresses to obtain census tract neighborhood deprivation data from the Brokamp Nationwide Community Deprivation Index that uses weighted proportions of poverty, income, public assistance, lack of health insurance, and vacant housing. Generalized linear mixed models quantified associations of deprivation with the cervicovaginal microbiota accounting for geographic clustering by census tract and potential confounders. Because of different distributions of neighborhood deprivation and the cervicovaginal microbiota, race-stratified models were used. Mediation analyses quantified the extent to which deprivation may contribute to racial differences in the cervicovaginal microbiota.

RESULTS

Higher neighborhood deprivation was associated with a Lactobacillus-deficient cervicovaginal microbiota. Per standard deviation increment of deprivation, participants had 28% higher adjusted odds (adjusted odds ratio, 1.28; 95% confidence interval, 1.04-1.58) of a Lactobacillus-deficient microbiota. Black participants had higher odds of a Lactobacillus-deficient microbiota than White participants (adjusted odds ratio, 4.00; 95% confidence interval, 2.05-8.26), and mediation analysis revealed that deprivation accounted for 22% (P=.046) of that disparity.

CONCLUSION

Neighborhood deprivation was associated with Lactobacillus-deficient cervicovaginal microbiota and may partially explain Black-White disparities in the cervicovaginal microbiota. Mechanistic studies to explore how environmental exposures modify the cervicovaginal microbiota are warranted to identify novel opportunities for future interventional strategies to prevent preterm birth. As the findings demonstrate a potential biological effect from neighborhood conditions, policies that drive urban planning should be explored to improve pregnancy outcomes.

Perceived Neighborhood Characteristics and Later-Life Pain Outcomes: Evidence From the Health and Retirement Study

Objectives: This study examines whether perceived neighborhood characteristics relate to pain outcomes among middle-aged and older adults. Methods: Data were from the Health and Retirement Study (2006-2014; n = 18,814). Perceived neighborhood characteristics were physical disorder, social cohesion, safety, and social ties. We fitted adjusted generalized estimating equation models to evaluate prevalence, incidence, and recovery of moderate-to-severe limiting pain 2 years later. Results: The mean age of our sample was 65.3 years; 54.6% were female and 24.2% reported moderate-to-severe limiting pain at baseline. Positive neighborhood characteristics were associated with low prevalence (e.g., prevalence ratio [PR]: .71 for disorder) and reduced incidence (e.g., PR: .63 for disorder) of moderate-to-severe limiting pain. Positive neighborhood characteristics were associated with a high recovery rate from moderate-to-severe limiting pain (e.g., PR = 1.15 for safety), though the 95% CIs for disorder and cohesion crossed the null. Discussion: Neighborhood characteristics may be important determinants in predicting pain in later life.

Motivations Behind Dog Walking in Older Adults: Insights From Guided Walks and Interviews

For many older adults, physical activity declines with age, contributing to chronic disease and social isolation. Companionship from dogs can help mitigate isolation and promote physical activity. Outdoor environments aligned with the abilities of older adults can encourage walking habits and socialization. To understand how neighborhood features influence dog walking, we adapted a Photovoice approach and photographed 12 older adults walking their dog. Photographs were presented during in-person interviews to facilitate discussions about environmental features. Thematic coding revealed that interactions with nature were key. Participants valued choices in walking path type and conveniently placed dog waste stations. Opportunities to socialize with neighbors were also important. Safety from falling, other animals, and motorized traffic were concerns but were not enough to prevent walking. Our findings suggest that walking environments intended for older adults with dogs should include experiences with nature, diverse path designs, and dog-specific amenities.

Association of Hospice Agency Location and Neighborhood Socioeconomic Disadvantage in the U.S

BACKGROUND

Despite the growing increase in the utilization of hospice in the U.S, disparities exist in the utilization of hospice. Accumulating evidence has shown that neighborhood characteristics have an impact on availability of hospice agencies.

OBJECTIVE

To assess the association between neighborhood social vulnerability and hospice agency availability.

METHODS

Using the Medicare Post-Acute Care and Hospice Provider Utilization and Payment Public Use Files (PAC PUF) for 2019. Hospice agency addresses were geocoded to the census tract level. Multivariable Poisson regression models were used to assess the association between socioeconomic status SVI theme and hospice agency availability adjusting for number of home health agencies, primary care health profession shortage, per cent Black, and Percent Hispanic at the census tract level and rurality.

RESULTS

The socioeconomic status SVI subtheme was associated with decreased likelihood of hospice agency availability (adjusted IRR (aIRR), .56; 95% CI, .50- .63; P < .001). Predominantly Black, and predominantly Hispanic neighborhoods had lower rates of hospice agency availability (aIRR, .48; 95% CI, .39-.59; P < .001 and aIRR, .29; 95% CI, .24-.36; P < .001), respectively.

CONCLUSION

Neighborhood socioeconomic disadvantage was associated with lower availability of hospice agencies. Policies aimed at increasing access to hospice should be cognizant of neighborhood socioeconomic disadvantage.

A tale of many neighborhoods: Latent profile analysis to derive a national neighborhood typology for the US

INTRODUCTION

Neighborhoods are complex and multi-faceted. Analytic strategies used to model neighborhoods should reflect this complexity, with the potential to better understand how neighborhood characteristics together impact health. We used latent profile analysis (LPA) to derive a residential neighborhood typology applicable for census tracts across the US.

METHODS

From tract-level 2015-2019 American Community Survey (ACS) five-year estimates, we selected five indicators that represent four neighborhood domains: demographic composition, commuting, socioeconomic composition, and built environment. We compared model fit statistics for up to eight profiles to identify the optimal number of latent profiles of the selected neighborhood indicators for the entire US. We then examined differences in national tract-level 2019 prevalence estimates of physical and mental health derived from CDC's PLACES dataset between derived profiles using one-way analysis of variance (ANOVA).

RESULTS

The 6-profile LPA model was the optimal categorization of neighborhood profiles based on model fit statistics and interpretability. Neighborhood types were distinguished most by demographic composition, followed by commuting and built environment domains. Neighborhood profiles were associated with meaningful differences in the prevalence of health outcomes. Specifically, tracts characterized as "Less educated non-immigrant racial and ethnic minority active transiters" (n = 3,132, 4%) had the highest poor health prevalence (Mean poor physical health: 18.6 %, SD: 4.30; Mean poor mental health: 19.6 %, SD: 3.85), whereas tracts characterized as "More educated metro/micropolitans" (n = 15, 250, 21%) had the lowest prevalence of poor mental and physical health (Mean poor physical health: 10.6 %, SD: 2.41; Mean poor mental health: 12.4 %, SD: 2.67; p < 0.001).

CONCLUSION

LPA can be used to derive meaningful and standardized profiles of tracts sensitive to the spatial patterning of social and built conditions, with observed differences in mental and physical health by neighborhood type in the US.

Neighbourhood characteristics and socioeconomic inequalities in child mental health: Cross-sectional and longitudinal findings from the Growing Up in Ireland study

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort '08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over "people being drunk or taking drugs in public" and "this is a safe neighbourhood" had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

Effects of neighborhood built environment on cognitive function in older adults: a systematic review

BACKGROUND

In the background of an aging population, the risk of cognitive impairment in the older population is prominent. Exposure to complex neighborhood built environments may be beneficial to the cognitive health of older adults, and the purpose of this study was to systematically review the scientific evidence on the effects of neighborhood built environments on cognitive function in older adults.

METHODS

Keywords and references were searched in Web of Science, Pubmed, PsycINFO, and MEDLINE. Studies examining the relationship between the built environment and cognitive function in older adults were included. The neighborhood built environment as an independent variable was classified according to seven aspects: density, design, diversity, destination accessibility, public transportation distance, blue/green space, and built environment quality. The cognitive function as the dependent variable was classified according to overall cognitive function, domain-specific cognitive function, and incidence of dementia. The quality of the included literature was assessed using the National Institutes of Health's Observational Cohort and Cross-Sectional Study Quality Assessment Tool.

RESULTS

A total of 56 studies were included that met the inclusion criteria, including 31 cross-sectional studies, 23 longitudinal studies, 1 cross-sectional study design combined with a case-control design, and 1 longitudinal study design combined with a case-control design. Most of the studies reviewed indicate that the built environment factors that were positively associated with cognitive function in older adults were population density, street connectivity, walkability, number of public transportation stops around the residence, land use mix, neighborhood resources, green space, and quality of the neighborhood built environment. Built environment factors that were negatively associated with cognitive function in older adults were street integration, distance from residence to main road. The relationship between residential density, destination accessibility, and blue space with cognitive function in older adults needs to be further explored.

CONCLUSION

Preliminary evidence suggests an association between the neighborhood built environment and cognitive function in older adults. The causal relationship between the built environment and cognitive function can be further explored in the future using standardized and combined subjective and objective assessment methods, and longitudinal or quasi-experimental study designs. For public health interventions on the cognitive health of older adults, it is recommended that relevant authorities include the neighborhood built environment in their intervention programs.

1 km of living area: age differences in the association between neighborhood environment perception and self-rated health among Chinese people

OBJECTIVES

This study aimed to explore the age differences in the relationship between neighborhood environment perception and self-rated health among Chinese people.

STUDY DESIGN

This is cross-sectional study.

METHODS

The participants were 2,631 residents aged 18 and above from 2021 Chinese General Social Survey (CGSS). Self-rated health was reported by residents. Neighborhood environment was measured by respondents' subjective perception of 1 km living area. Ordered logit regression models were used to examine the relationship between neighborhood environment perception and self-rated health.

RESULTS

In summary, 42.08% were classified as young adults, and 57.92% were classified as middle-aged and older adults. Young adults with higher perception of neighborhood social environment were more likely to perceive good health. Neighborhood built environment was significantly associated with self-rated health among middle-aged and older adults.

CONCLUSION

The neighborhood environment is an important predictor of the health of its residents. Neighborhood environmental modifications should be tailored to meet the needs of different age groups, promoting health equity.

What impact would tobacco retailer proximity limit have on tobacco availability in New Zealand?

INTRODUCTION

One policy option to reduce the density of tobacco retailers is to restrict the distance retailers can be located to each other. This study examined the impacts of proximity limits of 150 m, 300 m and 450 m between tobacco retailers in New Zealand and if critical threshold reduction in tobacco retailers of 90%-95% would be achieved.

METHODS

Using a spatial modelling approach, tobacco retailers were randomly removed based on a minimum distance between retailers until there were zero retailers within each scenario's minimum distance. This was repeated for all three proximity limit scenarios and descriptive statistics are provided for each.

RESULTS

Implementation of 150 m, 300 m or 450 m distance restrictions between tobacco retailers would result in an average reduction in availability of 35%, 49% and 58%, respectively. On average, the current median distance to the closest retailer increases from 110 m to 377 m, to 568 m or to 718 m, respectively. The average median distance from a retailer to the closest school also increases across the three proximity limits, from 1017 m to 1087 m, to 1149 m or to 1231 m, respectively. Reduced clustering in deprived areas would be most apparent if a 450 m restriction policy was implemented.

CONCLUSIONS

A proximity limit of 450 m would reduce retailers by 58%, but would not reach proposed critical behaviour-change threshold of 90%-95% required to reduce smoking prevalence independently. There is a need for a combination of policies, which focus on promoting equity, to achieve this bold endgame goal.

Disparities in neighbourhood characteristics and 10-year dementia risk by nativity status

AIMS

Prior research indicates that neighbourhood disadvantage increases dementia risk. There is, however, inconclusive evidence on the relationship between nativity and cognitive impairment. To our knowledge, our study is the first to analyse how nativity and neighbourhood interact to influence dementia risk.

METHODS

Ten years of prospective cohort data (2011-2020) were retrieved from the National Health and Aging Trends Study, a nationally representative sample of 5,362 U.S. older adults aged 65+. Cox regression analysed time to dementia diagnosis using nativity status (foreign- or native-born) and composite scores for neighbourhood physical disorder (litter, graffiti and vacancies) and social cohesion (know, help and trust each other), after applying sampling weights and imputing missing data.

RESULTS

In a weighted sample representing 26.9 million older adults, about 9.5% (n = 2.5 million) identified as foreign-born and 24.4% (n = 6.5 million) had an incident dementia diagnosis. Average baseline neighbourhood physical disorder was 0.19 (range 0-9), and baseline social cohesion was 4.28 (range 0-6). Baseline neighbourhood physical disorder was significantly higher among foreign-born (mean = 0.28) compared to native-born (mean = 0.18) older adults (t = -2.4, p = .02). Baseline neighbourhood social cohesion was significantly lower for foreign-born (mean = 3.57) compared to native-born (mean = 4.33) older adults (t = 5.5, p < .001). After adjusting for sociodemographic, health and neighbourhood variables, foreign-born older adults had a 51% significantly higher dementia risk (adjusted hazard ratio = 1.51, 95% CI = 1.19-1.90, p < .01). There were no significant interactions for nativity with neighbourhood physical disorder or social cohesion.

CONCLUSIONS

Our findings suggest that foreign-born older adults have higher neighbourhood physical disorder and lower social cohesion compared to native-born older adults. Despite the higher dementia risk, we observed for foreign-born older adults, and this relationship was not moderated by either neighbourhood physical disorder or social cohesion. Further research is needed to understand what factors are contributing to elevated dementia risk among foreign-born older adults.

Neighborhood-Level Stressors and Individual-Level Cardiovascular Disease Risk in Native Hawaiians: a Cross-Sectional Study

Introduction

Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians.

Methods

We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics.

Results

The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R2 = 0.22, F = 4.81, P < .001) demonstrated that age, sex, education level, physical activity, and percentage of fat in the diet were significantly related to BMI. The availability of healthy foods had a significant, independent relationship with BMI (standardized β = -1.47, SE = 0.53, P = .01). The physical activity model (R2 = 0.21, F = 4.46, P < .001) demonstrated that age, sex, education, and BMI were significantly related to physical activity. None of the neighborhood characteristics had significant, independent relationships to physical activity.

Conclusions

We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.

Neighborhood greenness and participation in specific types of recreational physical activities in the Sister Study

BACKGROUND

Urban green spaces have been consistently shown to have important human health benefits across a range of outcomes. These benefits are thought to be achieved, in part, because urban greenness provides opportunities for participation in recreational activity. However, the findings from studies that have assessed links between exposure to greenness and physical activity have been mixed. To date, few studies have examined association between greenness and specific types of recreational physical activities.

OBJECTIVE

We evaluated associations between measures of greenness and specific types of recreational physical activities. Moreover, we explored the extent to which these associations were modified by socioeconomic conditions, and regionally.

METHODS

We analyzed cross-sectional data from 49,649 women in the Sister Study and assigned three residentially-based measures of greenness based on national land cover data at buffer distances of 250 m and 500 m. Data on participation in up to ten specific recreational physical activities, including time spent in each activity were collected. Logistic regression was used to estimate odds ratios (OR) and their 95% confidence intervals (CI) controlling for confounders.

RESULTS

Compared to those in the lowest tertile of greenness, participants in the upper tertile of greenness within a 500 m buffer, were more likely to garden (OR = 1.46, 95% CI = 1.25,1.69), participate in sports (OR = 1.28, 95% CI = 1.19,1.38), run (OR = 1.15, 95% CI = 1.04,1.27), walk (OR = 1.11, 95% CI = 1.06,1.16), and engage in conditioning exercises (OR = 1.10, 95% CI = 1.05,1.16) at least once a week for at least one month over the past year. These associations were modified by household income and US region.

DISCUSSION

Our findings suggest a beneficial effect of greenness on physical activity and provide additional information to inform planning of green environments that contribute to better health and wellbeing.

Association between residential greenness and depression symptoms in Chinese community-dwelling older adults

BACKGROUND

Studies of residential greenness and depression symptoms among community-dwelling older adults in China are limited. However, understanding the role of greenness in depression symptoms among older adults can inform depression prevention and interventions.

OBJECTIVE

This study explored the relationship between residential greenness and depression symptoms among community-dwelling older adults in China.

METHODS

A cluster random sampling method was used to survey 7512 community-dwelling adults aged 60 and above from three towns in Shanghai. Depression symptoms were assessed using the Geriatric Depression Scale (GDS30). Residential greenness was measured using the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). Long-term greenspace exposure was defined as the mean NDVI and EVI in the three years prior to the baseline survey. Controlling for the covariates, the relationship between greenness and depression symptoms was assessed using binomial logistic regression and mixed-effects linear regression. Interaction analysis was conducted to explore which covariates potentially alter the association. We also assessed the mediating role of physical activity.

RESULTS

The prevalence of depression symptoms among the participants was 13.72%. Higher residential greenness was associated with lower odds of depression symptoms, after adjusting for covariates. In the logistic regression analysis, the odds of depression symptoms decreased with increasing NDVI and EVI. In linear regression analysis, GDS30 scores decreased with increasing NDVI and EVI. Interaction analyses revealed that higher NDVI and EVI were more protective against depression among male individuals and older adults living with others than among female individuals and older adults living alone. Additionally, physical activity had a masking effect on residential greenness and depression symptoms.

CONCLUSION

Higher residential greenness is associated with lower odds of depression symptoms in community-dwelling Chinese older adults. Increasing urban and neighborhood green spaces may contribute to the prevention and intervention of depression symptoms in community-dwelling older adults.

Homophily, selection, and choice in segregation models

Schelling's 1971 work on the dynamics of segregation showed that even a small degree of homophily, the desire to live among like neighbors, can lead to a starkly segregated population. One of the driving factors for this result is that the notion of homophily used is based on group identities that are exogenous and immutable. In contrast, we consider a homophily that arises from the desire to be with neighbors who are behaviorally similar, not necessarily those who have the same group identity. The distinction matters because behaviors are neither exogenous nor immutable but choices that can change as individuals adapt to their neighborhoods. We show that in such an environment, integration rather than segregation is the typical outcome. However, the tendency toward adaptation and integration can be impeded when economic frictions in the form of income inequality and housing cost are present.

Detecting high-risk neighborhoods and socioeconomic determinants for common oral diseases in Germany

BACKGROUND

Ideally, health services and interventions to improve dental health should be tailored to local target populations. But this is not the standard. Little is known about risk clusters in dental health care and their evaluation based on small-scale, spatial data, particularly among under-represented groups in health surveys. Our study aims to investigate the incidence rates of major oral diseases among privately insured and self-paying individuals in Germany, explore the spatial clustering of these diseases, and evaluate the influence of social determinants on oral disease risk clusters using advanced data analysis techniques, i.e. machine learning.

METHODS

A retrospective cohort study was performed to calculate the age- and sex-standardized incidence rate of oral diseases in a study population of privately insured and self-pay patients in Germany who received dental treatment between 2016 and 2021. This was based on anonymized claims data from BFS health finance, Bertelsmann, Dortmund, Germany. The disease history of individuals was recorded and aggregated at the ZIP code 5 level (n = 8871).

RESULTS

Statistically significant, spatially compact clusters and relative risks (RR) of incidence rates were identified. By linking disease and socioeconomic databases on the ZIP-5 level, local risk models for each disease were estimated based on spatial-neighborhood variables using different machine learning models. We found that dental diseases were spatially clustered among privately insured and self-payer patients in Germany. Incidence rates within clusters were significantly elevated compared to incidence rates outside clusters. The relative risks (RR) for a new dental disease in primary risk clusters were min = 1.3 (irreversible pulpitis; 95%-CI = 1.3-1.3) and max = 2.7 (periodontitis; 95%-CI = 2.6-2.8), depending on the disease. Despite some similarity in the importance of variables from machine learning models across different clusters, each cluster is unique and must be treated as such when addressing oral public health threats.

CONCLUSIONS

Our study analyzed the incidence of major oral diseases in Germany and employed spatial methods to identify and characterize high-risk clusters for targeted interventions. We found that private claims data, combined with a network-based, data-driven approach, can effectively pinpoint areas and factors relevant to oral healthcare, including socioeconomic determinants like income and occupational status. The methodology presented here enables the identification of disease clusters of greatest demand, which would allow implementing more targeted approaches and improve access to quality care where they can have the most impact.

Unearthing Inequities in the Relationship between Multiple Sociodemographic Factors and Diverse Elements of Park Availability and Quality in a Major Southern Metropolitan Region

Parks are critical components of healthy communities. This study explored neighborhood socioeconomic and racial/ethnic inequalities in park access and quality in a large U.S. southeastern metropolitan region. A total of 241 block groups were examined, including 77 parks. For each block group, we obtained multiple sociodemographic indicators, including unemployment rate, education level, renter-occupied housing, poverty rate, and racial/ethnic minority composition. All parks were mapped using geographical information systems and audited via the Community Park Audit Tool to evaluate their features and quality. We analyzed seven diverse elements of park quality (transportation access, facility availability, facility quality, amenity availability, park aesthetics, park quality concerns, and neighborhood quality concerns), as well as an overall park quality score by calculating the mean for all parks within each block group. The mean percent of residents below 125% of the poverty level and the percentage of renter-occupied housing units were significantly higher among block groups with any parks in comparison to block groups with no parks. In addition, there were significant positive associations between park transportation access scores and both the percentage of residents with less than high school education and the percent identifying as non-Hispanic white. Moreover, there was a significant negative association between park amenity availability and the block group's unemployed population. Further, a significant negative association between park aesthetics and the population with a lower than high school education percentage was observed. Revealed differences in park availability, park acreage, and park quality dimensions emphasized the need for targeted policy, programmatic, and infrastructure interventions to improve park access and quality and address health disparities.

Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies

STUDY OBJECTIVES

To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults.

METHODS

Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score.

RESULTS

Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09).

CONCLUSIONS

Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.

Evidence of COVID-19 fatalities in Swedish neighborhoods from a full population study

The COVID-19 pandemic has highlighted a debate about whether marginalized communities suffered the disproportionate brunt of the pandemic's mortality. Empirical studies addressing this question typically suffer from statistical uncertainties and potential biases associated with uneven and incomplete reporting. We use geo-coded micro-level data for the entire population of Sweden to analyze how local neighborhood characteristics affect the likelihood of dying with COVID-19 at individual level, given the individual's overall risk of death. We control for several individual and regional characteristics to compare the results in specific communities to overall death patterns in Sweden during 2020. When accounting for the probability to die of any cause, we find that individuals residing in socioeconomically disadvantaged neighborhoods were not more likely to die with COVID-19 than individuals residing elsewhere. Importantly, we do find that individuals show a generally higher probability of death in these neighborhoods. Nevertheless, ethnicity is an important explanatory factor for COVID-19 deaths for foreign-born individuals, especially from East Africa, who are more likely to pass away regardless of residential neighborhood.

Associations between neighbourhood characteristics, physical activity and depressive symptoms: the Northern Finland Birth Cohort 1966 Study

BACKGROUND

Due to rapid urbanization, there is a need to better understand the relative roles of residential environment and physical activity in depression. We aimed to investigate whether neighbourhood characteristics are related to the presence of depressive symptoms and whether the association is modified by physical activity.

METHODS

This cross-sectional study used the 46-year-old follow-up data (n = 5489) from the Northern Finland Birth Cohort 1966. Data on depressive symptoms, measured by Beck Depression Inventory-II, and self-reported and accelerometer-measured physical activity were included. Neighbourhood characteristics, population density, distance to the closest grocery store, bus stops and cycle/pedestrian paths, distance to the nearest parks and forests, residential greenness and level of urbanicity were calculated using Geographic Information System methods based on participants' home coordinates.

RESULTS

According to ordinal logistic regression analyses adjusted for physical activity at different intensities and individual covariates, living in a neighbourhood with higher population density and urbanicity level were associated with a higher risk of experiencing more severe depressive symptoms. Higher residential greenness was associated with a lower risk of experiencing more severe depressive symptoms after adjustment for self-reported light and moderate-to-vigorous physical activity, accelerometer-measured moderate-to-vigorous physical activity and individual covariates. Both higher self-reported and accelerometer-measured physical activity were independently associated with a lower risk of more severe depressive symptoms.

CONCLUSIONS

Both residential environment and physical activity behaviour play an important role in depressive symptoms; however, further research among populations of different ages is required. Our findings can be utilized when designing interventions for the prevention of depression.

Constructing Residential Histories in a General Population-Based Representative Sample

Research on neighborhoods and health typically measures neighborhood context at a single point in time. However, neighborhood exposures accumulate over the life course, influenced by both residential mobility and neighborhood change, with potential implications for estimating the impact of neighborhoods on health. Commercial databases offer fine-grained longitudinal residential address data that can enrich life-course spatial epidemiology research, and validated methods for reconstructing residential histories from these databases are needed. Our study draws on unique data from a geographically diverse, population-based representative sample of adult Wisconsin residents and the LexisNexis (New York, New York) Accurint, a commercial personal profile database, to develop a systematic and reliable methodology for constructing individual residential histories. Our analysis demonstrated that creating residential histories across diverse geographical contexts is feasible, and it highlights differences in the information obtained from available residential histories by age, education, race/ethnicity, and rural/urban/suburban residency. Researchers should consider potential address data availability and information biases favoring socioeconomically advantaged individuals and their implications for studying health inequalities. Despite these limitations, LexisNexis data can generate varied residential exposure metrics and be linked to contextual data to enrich research into the contextual determinants of health at varied geographic scales.

Neighborhood-level sleep health and childhood opportunities

Objectives

Regional sleep differences may reflect other important indicators of health and well-being. Examining sleep health at the regional level can help inform policies to improve population health. We examined the relationship between neighborhood-level adult sleep health (modeled in this study via adult sleep duration) and other health metrics and multiple indicators of child-relevant opportunity.

Methods

Data were obtained from the "500 Cities" data collected by the CDC, including the proportion of the adult population in each tract that report obtaining at least 7 h of sleep. The Child Opportunity Index (COI) provides indices for "education," "health and environment," and "social and economic" domains, as well as a global score. When data were merged, 27,130 census tracts were included. Linear regression analyses examined COI associated with the proportion of the adult population obtaining 7 h of sleep.

Results

Adult sleep duration was associated with global COI, such that for each additional percent of the population that obtains ≥ 7 h of sleep, COI increases by 3.6 points (95%CI[3.57, 3.64]). Each component of COI was separately related to adult sleep duration. All associations were attenuated but significant in adjusted analyses. In stepwise analyses, sleep health via adult sleep duration emerged as the strongest correlate of global COI, accounting for 57.2% of the variance (p < 0.0001). Similarly, when stepwise analyses examined each component of COI as dependent variable, sleep health consistently emerged as the most substantial correlate (all p < 0.0001).

Conclusion

Community levels of sufficient sleep are associated with greater childhood opportunities, which itself is robustly associated with a wide range of health and economic outcomes. Future work can examine whether this association can develop into scalable interventions.

Racial and Economic Segregation Over the Life Course and Incident Hypertensive Disorders of Pregnancy Among Black Women in California

Black women in the United States have the highest incidence of hypertensive disorders of pregnancy (HDP) and are disproportionately burdened by its adverse sequalae, compared with women of all racial and ethnic groups. Segregation, a key driver of structural racism for Black families, can provide information critical to understanding these disparities. We examined the association between racial and economic segregation at 2 points and incident HDP using intergenerationally linked birth records of 45,204 Black California-born primiparous mothers (born 1982-1997) and their infants (born 1997-2011), with HDP ascertained from hospital discharge records. Women's early childhood and adulthood neighborhoods were categorized as deprived, mixed, or privileged based on the Index of Concentration at the Extremes (a measure of concentrated racial and economic segregation), yielding 9 life-course trajectories. Women living in deprived neighborhoods at both time points experienced the highest odds of HDP (from mixed effect logistic regression, unadjusted odds ratio = 1.26, 95% confidence interval: 1.13, 1.40) compared with women living in privileged neighborhoods at both time points. All trajectories involving residence in a deprived neighborhood in early childhood or adulthood were associated with increased odds of HDP, whereas mixed-privileged and privileged-mixed trajectories were not. Future studies should assess the causal nature of these associations.

Neighborhood Deprivation and Privilege: an Examination of Racialized-Economic Segregation and Preterm Birth, Florida 2019

The Black-White disparity in preterm birth persists and is not fully explained by individual-level social, behavioral, or clinical risk factors. Consequently, there is increasing emphasis on understanding the role of structural and area-level factors. Racialized-economic segregation measured as the index of concentration at the extremes (ICE) simultaneously captures extremes of deprivation and privilege. Our objective was to examine associations between preterm birth (PTB) and the index of concentration at the extremes (ICE). In this cross-sectional study, we analyzed 193,957 Florida birth records from 2019 linked to 2015-2019 census tract data from the American Community Survey. We assessed PTB (< 37 weeks gestation) by subtypes: (1) early (< 34 weeks) and late (34-36 weeks) and (2) spontaneous and indicated (i.e., provider-initiated) deliveries. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for three ICE measures: (1) ICE_INC: income, (2) INC_INC + WB: income + race/ethnicity (non-Hispanic White vs. Black), and (3) INC_INC + WH: income + race/ethnicity (non-Hispanic White vs. Hispanic). Results. For ICE_INC and INC_INC + WB, aORs for residing in the worst-off vs. best-off areas were 1.25 (95% CI: 1.12, 1.46) and 1.21 (95% CI: 1.07, 1.37) for early PTB, respectively, and 1.16 (95% CI: 1.05, 1.28) to 1.22 (95% CI: 1.12, 1.34) for indicated PTB. In conclusion, deprivation captured by ICE was associated with increased odds of early or indicated PTB. Eliminating PTB disparities may require a multifaceted approach that includes addressing the interplay between income and race/ethnicity in residential areas.

The Two Routes of Collective Psychological Ownership: Rights and Responsibilities Explain Intentions to Exclude Outsiders and Engage in Stewardship Behavior

People can have a sense of collective ownership of a particular territory, such as "our" country, "our" neighborhood, and "our" park. Collective psychological ownership is argued to go together with rights and responsibilities that have different behavioral implications. We found that collective psychological ownership leads to perceived determination right, and indirectly to the exclusion of outsiders from "our" place. Simultaneously, collective psychological ownership leads to perceived group responsibility, and indirectly to engagement in stewardship behavior. These results were found among Dutch adults, cross-sectionally in relation to their country (Study 1; N = 617) and a neighborhood (Study 2; N = 784), and experimentally in relation to an imaginary local park (Study 3; N = 384, Study 4; N = 502, both pre-registered). Our research shows that the feeling that a place is "ours" can, via perceived rights and responsibilities, result in both exclusionary and prosocial behavioral tendencies.

Loss of Autonomy: Likely Dementia and Living Arrangement Transitions Among Mexicans and Mexican Americans

BACKGROUND AND OBJECTIVES

To examine the role of probable dementia on changes in living arrangements and mortality among very old Mexicans and Mexican Americans in 2 different nations.

RESEARCH DESIGN AND METHODS

We employ the Hispanic Established Population for the Epidemiologic Study of the Elderly and the Mexican Health and Aging Study, 2 comparable longitudinal data sets, to identify predictors of changes in living arrangements using multinomial logistic regression, controlling for cognitive status, demographic characteristics, and resources.

RESULTS

In Mexico, women with dementia who lived alone at baseline were more likely to become part of an extended family household than men with similar levels of cognitive impairment. A similar pattern emerges for the oldest Mexican-American women. Spousal loss increases the likelihood of living alone for women in the United States regardless of dementia. Although dementia elevates the risk of mortality for men living alone in the United States, in both countries, women in their 90s who lived alone with dementia had a lower risk of mortality relative to men.

DISCUSSION AND IMPLICATIONS

Longer life spans increase the risk of living alone with dementia in both countries, especially for women. Older individuals in both countries face financial hardships. Mexicans have limited formal options in dementia care. Mexican Americans with dementia continue to live alone despite low income although, unlike the Mexicans, they have access to Medicaid long-term care. For Mexico and the United States, the growing number of older individuals with dementia represents a growing public health concern.

Neighborhoods And Health: Interventions At The Neighborhood Level Could Help Advance Health Equity

Housing is tied to neighborhoods. Therefore, to understand how housing affects health and health equity, the role of neighborhood environments must be considered. This article is a critical review of the relationship between neighborhoods and health. We discuss inequality among US neighborhoods and the roots of that inequality. We then explore the ways in which neighborhood environments may shape health, review the evidence about these effects, and discuss policy responses. Many studies document an association between neighborhoods and physical and mental health, and a few studies suggest that some of these relationships are causal. Thus, the evidence suggests that interventions at the neighborhood scale can potentially help advance health equity. Further research on the long-term impacts of neighborhoods on health and more rigorous studies of the impact of particular neighborhood interventions are needed. To advance health equity, policy makers also need to better understand the institutional arrangements and social policies that have created neighborhood inequality and pursue innovative approaches to changing them.

Multilevel Resilience and HIV Virologic Suppression Among African American/Black Adults in the Southeastern United States

OBJECTIVE

To assess overall and by neighborhood risk environments whether multilevel resilience resources were associated with HIV virologic suppression among African American/Black adults in the Southeastern United States.

SETTING AND METHODS

This clinical cohort sub-study included 436 African American/Black participants enrolled in two parent HIV clinical cohorts. Resilience was assessed using the Multilevel Resilience Resource Measure (MRM) for African American/Black adults living with HIV, where endorsement of a MRM statement indicated agreement that a resilience resource helped a participant continue HIV care despite challenges or was present in a participant's neighborhood. Modified Poisson regression models estimated adjusted prevalence ratios (aPRs) for virologic suppression as a function of categorical MRM scores, controlling for demographic, clinical, and behavioral characteristics at or prior to sub-study enrollment. We assessed for effect measure modification (EMM) by neighborhood risk environments.

RESULTS

Compared to participants with lesser endorsement of multilevel resilience resources, aPRs for virologic suppression among those with greater or moderate endorsement were 1.03 (95% confidence interval: 0.96-1.11) and 1.03 (0.96-1.11), respectively. Regarding multilevel resilience resource endorsement, there was no strong evidence for EMM by levels of neighborhood risk environments.

CONCLUSIONS

Modest positive associations between higher multilevel resilience resource endorsement and virologic suppression were at times most compatible with the data. However, null findings were also compatible. There was no strong evidence for EMM concerning multilevel resilience resource endorsement, which could have been due to random error. Prospective studies assessing EMM by levels of the neighborhood risk environment with larger sample sizes are needed.

Systematic Review of Neighborhood Factors Impacting HIV Care Continuum Participation in the United States

Social determinants have been increasingly implicated in accelerating HIV vulnerability, particularly for disenfranchised communities. Among these determinants, neighborhood factors play an important role in undermining HIV prevention. However, there has been little research comprehensively examining the impact of neighborhood factors on HIV care continuum participation in the US. To address this, we conducted a systematic review (PROSPERO registration number CRD42022359787) to determine neighborhood factors most frequently associated with diminished HIV care continuum participation. Peer-reviewed studies were included if published between 2013 - 2022, centralized in the US, and analyzed a neighborhood factor with at least one aspect of the HIV care continuum. The review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Study quality was guided by LEGEND (Let Evidence Guide Every New Decision) evaluation guidelines. Systematic review analysis was conducted using Covidence software. There were 3,192 studies identified for initial screening. Forty-four were included for review after eliminating duplicates, title/abstract screening, and eligibility assessment. Social and economic disenfranchisement of neighborhoods negatively impacts HIV care continuum participation among persons living with HIV. In particular, five key neighborhood factors (socioeconomic status, segregation, social disorder, stigma, and care access) were associated with challenged HIV care continuum participation. Race moderated relationships between neighborhood quality and HIV care continuum participation. Structural interventions addressing neighborhood social and economic challenges may have favorable downstream effects for improving HIV care continuum participation.

Effectively solve the obstacle in the old residential building energy-saving renovation from the perspective of a four-party evolutionary game

Although the government highly focuses on old residential building energy-saving renovation (ORBESR), many hinders still exist and the efficiency of it is still low. This paper proposes a four-party evolutionary game model to study the impact of relative stakeholders' choices, involving developers, residents, neighborhood councils, and governments. Using this model, this paper studies what influences the conflicts between developers and residents take on the efficiency of ORBESR. In addition, what influence the residents, neighborhood councils, and developers' strategies will take on the ORBESR under the condition of evolutionary stability strategy. This paper finally concludes that governments could propose high penalties first to accelerate the stability of the system, then suitable subsidies to relieve the financial burden and to achieve high efficiency. The governments could provide a suitable plan for residents' investment to promote residents' participation. The neighborhood councils arouse the ways and facilities to help residents understand and participate in the ORBESR and try to solve the conflicts between developers and residents can improve the residents' participation and the developers' willingness to implement the ORBESR.

Did the association between alcohol outlet density and crime change during COVID shelter-in-place orders?

INTRODUCTION

We investigated whether greater concentrations of on- and off-sale alcohol outlets were associated with crime and whether this association was moderated by COVID-19 shelter-in-place orders (SIP) that restricted on-premises consumption of alcohol.

METHODS

Crimes (2019-2020) and addresses of licenced alcohol outlets in a medium-sized California city were geocoded within census block groups (N = 61). On- and off-sale alcohol outlet density was calculated as licenced outlets/2.59 km2 (1 square mile). Multilevel negative binomial regression analyses were conducted to examine associations between alcohol outlet density and crime, and possible moderating effects of SIP, controlling for block group demographic characteristics and density of other retail businesses.

RESULTS

On-sale outlet density was positively associated with total crimes and Part 2 crimes, while off-sale outlet density was inversely associated with total crime and Part 2 crimes. Overall, SIP was not significantly associated with crime, but moderated the associations of on-sale density with total crime and Part 1 crimes such that reductions in crime during SIP were observed in higher density areas. The association of off-sale outlets with crime was not moderated by SIP policies.

DISCUSSION AND CONCLUSION

On-sale outlet density, but not off-sale density, appears to be associated with increased crime. The results further indicate that restrictions in hours and service imposed by SIP policies reduced crime in high on-sale outlet density areas. These findings reinforce the importance of regulating alcohol outlet density and hours of service, especially for on-sale outlets, as a crime reduction strategy.

A Comparison of Three Area-Level Indices of Neighborhood Deprivation and Socioeconomic Status and their Applicability to Breast Cancer Mortality

Neighborhood deprivation indices are widely used in research, but the performance of these indices has rarely been directly compared in the same analysis. We examined the Area Deprivation Index, Neighborhood Deprivation Index, and Yost index, and compared their associations with breast cancer mortality. Indices were constructed for Georgia census block groups using 2011-2015 American Community Survey data. Pearson correlation coefficients and percent agreement were calculated. Associations between each index and breast cancer mortality were estimated among 36,795 women diagnosed with breast cancer using Cox proportional hazards regression. The indices were strongly correlated (absolute value of correlation coefficients > 0.77), exhibited moderate (41.4%) agreement, and were similarly associated with a 36% increase in breast cancer mortality. The similar associations with breast cancer mortality suggest the indices measure the same underlying construct, despite only moderate agreement. By understanding their correlations, agreement, and associations with health outcomes, researchers can choose the most appropriate index for analysis.

Where a child lives matters: neighborhood deprivation and pediatric obesity

PURPOSE OF REVIEW

This article outlines what is currently known regarding the relationship between neighborhood deprivation and pediatric obesity. It discusses the intersectionality between neighborhood deprivation, race, ethnicity, and pediatric obesity. We conclude by proposing several potential solutions to disparities in pediatric obesity related to neighborhood deprivation.

RECENT FINDINGS

Neighborhood deprivation, independent of individual socioeconomic status, is a risk factor for pediatric obesity. The obesogenic characteristics of high deprivation neighborhoods (e.g., lack of safe spaces to be active, easy access to fast food) and the psychological aspects of residing within high deprivation neighborhoods may also contribute to this risk. Intervention strategies and policies designed to address neighborhood related risk for pediatric obesity are needed.

SUMMARY

Pediatric obesity is a growing problem of complex etiology. Neighborhood risk factors should be considered when assessing risk burden and when designing intervention strategies.