Research examining the relationship between a neighborhood\'s built-environment and resident health or health-related outcomes has largely either focused on static characteristics using a cross-sectional research design or focuses on the neighborhood in its entirety. Such an approach makes it difficult to understand how specific dynamic neighborhood characteristics are associated with individual well-being. In this analysis, we use longitudinal data from the Pittsburgh Research on Neighborhood Change and Health (PHRESH) studies to assess the relationship between publicly funded neighborhood investments occurring across seven years (2011-2018) on five health-related outcomes: food insecurity, stress, perceived neighborhood safety, neighborhood satisfaction, and dietary quality. We additionally utilize this dataset to determine whether the distance between an individual\'s place of residence and the investment, as measured at the neighborhood, 1 mile, and ½ mile level, effects the magnitude of associations. Using individual and year fixed effects models, we find that when measured at the neighborhood level, a one standard deviation increase in investments (about $130 million dollars) is associated with decreased food insecurity (-0.294 sd), increased safety (0.231 sd), and increased neighborhood satisfaction (0.201 sd) among adults who remain in the study for at least two waves of data collection. We also analyze specific investment types and find that commercial investments are largely driving the changes in food insecurity, safety, and neighborhood satisfaction, while business investments are correlated with the decrease in stress. We find no relationship between investments and dietary quality.

UNASSIGNED: Cigarette smoking is the major preventable cause of premature deaths in the United States. Attempting to quit smoking is an important step toward smoking cessation. Although it has been studied extensively, limited information on the association between attempts to quit smoking and neighborhood air quality problems is available. Therefore, we examined the association between attempts to quit smoking in the past year and perceived neighborhood air quality problems among adult Texans who smoke.
UNASSIGNED: In 2018, a cross-sectional multistage area probability design-based survey was administered to collect sociodemographic, behavioral, and health-related information from a representative sample of 2050 Texas residents. The current study included 486 adult respondents who reported smoking within the past 12 months. The association between attempts to quit smoking and perceived neighborhood air quality (measured by self-reported problems with neighborhood air quality) was examined using a population-weighted multivariable logistic regression analysis.
UNASSIGNED: Overall, 60.7% of the 486 respondents attempted to quit cigarette smoking. The prevalence of attempting to quit was 74.6% for those reporting perceived neighborhood air quality problems. In the multivariable analysis, a higher likelihood of attempting to quit smoking was found among individuals with perceived neighborhood air quality problems (AOR: 1.906 [1.104-3.289]) and those who were married or living as married (AOR: 1.876 [1.161-3.033]). The likelihood of attempts to quit smoking was lower among males (AOR: 0.629 [0.397-0.995]) and decreased with age (AOR: 0.968 [0.951-0.984]).
UNASSIGNED: The perceived neighborhood air quality problems were found to independently predict attempts to quit cigarette smoking in Texas. To encourage quitting smoking among individuals living in neighborhoods with poor air quality, such neighborhoods should receive tailored and evidence-based interventions to improve community education, social support, and healthcare professionals\' assistance to quit smoking.

Engaging in one\'s neighborhood fosters independence, promotes social connectedness, improves quality of life, and increases life expectancy in older adults. There is a lack of evidence synthesis on immigrant older adults\' neighborhood perceptions and experiences, essential for addressing neighborhood-level influences on aging in place. This study systematically synthesizes qualitative evidence on immigrant older adults\' perceptions and experiences of their neighborhoods. A comprehensive search was conducted from inception to 5 April 2023, in multiple databases. This review considered studies including immigrant older adults aged ≥60 years, included studies from any country where the neighborhood was the focus, and only considered qualitative data while excluding review studies, theoretical publications, and protocols. Eligible studies were appraised using the JBI critical appraisal checklist for qualitative research. The Joanna Briggs Institute meta-aggregation approach was used to synthesize findings, and the ConQual approach established confidence in the synthesis. A total of 30 studies were included. Most studies were conducted in North America and explored phenomena such as aging in place, social capital, social cohesion, sense of community, and life satisfaction. Key contextual factors were walkable safe access to social spaces, accessible transportation to amenities, social cohesion with neighbors, and pre-migration neighborhood experiences. Immigrant older adults have varied experiences related to their sense of belonging and social cohesion. Factors such as racial discrimination, feeling unsafe, and social isolation contributed to negative perceptions. This review highlights the need for inclusive neighborhoods that align with the needs and values of immigrant older adults aging in place.

Barbershops and beauty salons provide community-specific opportunities to engage in cardiovascular disease screening and prevention. This editorial articulates the advantages of what is termed the \"barbershop paradigm,\" the community-engaged endeavor that leverages familiarity, trust, and stakeholder engagement to advance cardiovascular health. The authors summarize the neighborhood-based factors that contribute to cardiovascular health, and then identify the strategies implemented by ShopTalk and their specific advantages.

UNASSIGNED: Racial disparities in health outcomes are a persistent threat in gentrifying neighborhoods. A contributor to health outcomes is health services utilization, the extent to which people receive care from a medical professional. There are documented racial disparities in health services utilization in the general population. We aim to determine whether racial disparities in health services utilization exist in gentrifying neighborhoods.
UNASSIGNED: We used data from the American Community Survey to identify gentrifying neighborhoods across the United States from 2006 to 2017. We collected data on three measures of healthcare services utilization (office-based physician visits, office-based nonphysician visits, and having a usual source of care) for 247 Black and 689 White non-Hispanic respondents of the 2014 Medical Expenditure Panel Survey living in gentrifying neighborhoods. We used modified Poisson models to determine whether there is a difference in the prevalence of health services utilization by race among residents of gentrifying neighborhoods.
UNASSIGNED: After adjusting for age, gender, education, income, employment, insurance, marital status, region, and self-rated health, Black residents of gentrifying neighborhoods demonstrated a similar prevalence of having an office-based physician visit, a lower prevalence of having an office-based nonphysician visit (prevalence ratio: 0.74; 95% confidence interval, 0.60 to 0.91), and a lower prevalence of having a usual source of care (prevalence ratio: 0.87; 95% confidence interval, 0.77 to 0.98) than White residents.
UNASSIGNED: The existence of racial disparities in health services utilization in US gentrifying neighborhoods demonstrates a need for policy-relevant solutions to create a more equitable distribution of health resources.

UNASSIGNED: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health.
UNASSIGNED: A survey research design with correlational analyses was used.
UNASSIGNED: A survey packet including the Community Culture Survey - Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes.
UNASSIGNED: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participant\'s demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participant\'s age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants\' overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDC\'s measures of social vulnerability.
UNASSIGNED: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.

BACKGROUND: Finding ways to prolong independence in daily life among older people would be beneficial for both individuals and society. Urban green spaces have been found to improve health, but only a few studies have evaluated the association between urban green spaces and independence in daily life. The aim of this study was to assess the long-term effect of urban green spaces on independence in daily life, using social services and support, mobility aids, and relocation to institutional long-term care as proxies, among community dwelling people 65 + years.
METHODS: We identified 40 357 people 65 + years living in the city of Malmö, Sweden in 2010. Using geographical information systems (GIS), we determined the amount of urban green spaces (total, public, and quiet) within 300 m of each person\'s residence. All three measures were categorized based on their respective percentiles, so that the first quartile represented the 25% with the least access and the fourth quartile the 25% with the most access. In 2015 and 2019, we assessed the outcomes minor assistance (non-personal support), major assistance (personal support), and relocation into institutional long-term care. These three outcome measures were used as proxies for independence in daily life. The effect of amount of urban green spaces in 2010 on the three outcomes in 2015 and 2019, respectively, was assessed by pairwise comparing the three highest quartiles to the lowest.
RESULTS: Compared to the lowest quartile, those in the highest quartile of quiet green spaces in 2010 were less likely to receive minor assistance in both 2015 and 2019. Besides this, there were no indications that any of the measures of urban green space affected independence in daily life at the five- and nine-year follow-up, respectively.
CONCLUSIONS: Although urban green spaces are known to have positive impact on health, physical activity, and social cohesion among older people, we found no effect of total, public, or quiet green spaces on independence in daily life. This could possibly be a result of the choice of measures of urban green spaces, including spatial and temporal aspects, an inability to capture important qualitative aspects of the green spaces, or the proxy measures used to assess independence in daily life.

Elucidating the influence of microsystem and exosystem factors on development is an important goal of developmental psychopathology. This study examined the effects of maltreatment and neighborhood risk on child-caregiver attachment. Maltreatment records, neighborhood risk indices, and Strange Situation data were collected from a diverse sample of 170 four-year-old children and their caregivers. Relative contributions of maltreatment, neighborhood risk, and their interaction on attachment insecurity and disorganization were explored via latent moderation. Maltreated children demonstrated higher rates of insecure attachment, but not attachment disorganization, independent of neighborhood risk. Controlling for maltreatment, preliminary results suggested no effects of neighborhood risk on attachment. Findings support prior research that has identified maltreatment as a salient risk to the formation of secure attachment relationships. However, results add heterogeneity to the limited research investigating effects of neighborhood on attachment. Overall, this study highlights the importance of examining multilevel ecological risk in relation to attachment relationship development.

BACKGROUND: We examined the association of multilevel social determinants of health with incident apparent treatment-resistant hypertension (aTRH).
RESULTS: We analyzed data from 2774 White and 2257 Black US adults from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study taking antihypertensive medication without aTRH at baseline to estimate the association of social determinants of health with incident aTRH. Selection of social determinants of health was guided by the Healthy People 2030 domains of education, economic stability, social context, neighborhood environment, and health care access. Blood pressure (BP) was measured during study visits, and antihypertensive medication classes were identified through a pill bottle review. Incident aTRH was defined as (1) systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg, or systolic BP ≥130 mm Hg or diastolic BP ≥80 mm Hg for those with diabetes or chronic kidney disease while taking ≥3 classes of antihypertensive medication or (2) taking ≥4 classes of antihypertensive medication regardless of BP level, at the follow-up visit. Over a median 9.5 years of follow-up, 15.9% of White and 24.0% of Black adults developed aTRH. A percent of the excess aTRH risk among Black versus White adults was mediated by low education (14.2%), low income (16.0%), not seeing a friend or relative in the past month (8.1%), not having someone to care for them if ill or disabled (7.6%), lack of health insurance (10.6%), living in a disadvantaged neighborhood (18.0%), and living in states with poor public health infrastructure (6.0%).
CONCLUSIONS: Part of the association between race and incident aTRH risk was mediated by social determinants of health.

Existing literature has widely explored the individual roles of housing and neighborhood quality, and there is limited research examining their interactive effects on mental health. This 3-year cohort study utilized a longitudinal design to investigate the individual and interactive effects of housing and neighborhood quality on mental health among 962 community-dwelling adults in Hong Kong. Participants were asked to rate their residential qualities over the 3-year period. Mental health outcomes, including levels of psychological distress and common mental disorders (CMD), were assessed using the Revised Clinical Interview Schedule (CIS-R). Logistic regression and generalized linear models were used to examine the association between housing and neighborhood quality and CMD/psychological distress, adjusting for sociodemographic and residential characteristics and baseline mental disorders. Housing quality was associated with the 3-year CMD (adjusted OR 0.95; 95% CI 0.91 to 0.98). Likewise, neighborhood quality was associated with CMD over 3 years (adjusted OR 0.92; 95% CI 0.87 to 0.96). In a separate model including both quality measures, the effect of housing quality on CMD was attenuated, whereas the neighborhood impact remained significant (adjusted OR 0.92; 95% CI 0.87 to 0.98). Generalized linear models indicated that for participants residing in substandard housing, those with high neighborhood quality had lower CIS-R scores at follow-up compared to those with low neighborhood quality (p = 0.041). Better neighborhood quality alleviated the detrimental effects of poor housing quality on mental health. Planning for an enhanced neighborhood would improve population mental health in an urban environment.