Search

ObjectivesLiving in ethnic enclaves may protect racial/ethnic minority populations from discrimination and stress by facilitating positive intergroup relations in those neighborhoods. This study examines how two different aspects of ethnic enclaves-neighborhood ethnic concentration and cultural institutions-are associated with discrimination and stress among Asian American women, and how these associations differ by nativity and time lived in the United States.MethodA community-based survey of Asian American women with geocoded residential addresses was linked with U.S. Census and business listing data. We created neighborhood variables of ethnic concentration and number of Asian cultural institutions. Analyses consisted of linear regression predicting day-to-day discrimination, general stress, and immigration stress.ResultsFindings revealed that for established immigrants and U.S.-born, higher ethnic concentration was associated with higher discrimination and general stress. For recent immigrants, higher ethnic concentration was associated with lower discrimination, general stress, and immigration stress. For all Asian American women, living in neighborhoods with more cultural institutions was associated with lower discrimination. For recent immigrants, living in neighborhoods with more cultural institutions was associated with lower general stress.ConclusionsThis study highlights how ethnic enclaves are associated with discrimination and stress experiences differently, depending on nativity and time in the United States. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

We examined associations of individual- and neighborhood-level life-course (LC) socioeconomic status (SES) with incident dementia in the Atherosclerosis Risk in Communities cohort. Individual- and neighborhood-level SES were assessed at 3 life epochs (childhood, young adulthood, midlife) via questionnaire (2001-2002) and summarized into LC-SES scores. Dementia was ascertained through 2013 using cognitive exams, telephone interviews, and hospital and death certificate codes. Cox regression was used to estimate hazard ratios of dementia by LC-SES scores in race-specific models. The analyses included data from 12,599 participants (25% Black) in the United States, with a mean age of 54 years and median follow-up of 24 years. Each standard-deviation greater individual LC-SES score was associated with a 14% (hazard ratio (HR) = 0.86, 95% confidence interval (CI): 0.81, 0.92) lower risk of dementia in White and 21% (HR = 0.79, 95% CI: 0.71, 0.87) lower risk in Black participants. Education was removed from the individual LC-SES score and adjusted for separately to assess economic factors of LC-SES. A standard-deviation greater individual LC-SES score, without education, was associated with a 10% (HR = 0.90, 95% CI: 0.84, 0.97) lower dementia risk in White and 15% (HR = 0.85, 95% CI: 0.76, 0.96) lower risk in Black participants. Neighborhood LC-SES was not associated with dementia. We found that individual LC-SES is a risk factor for dementia, whereas neighborhood LC-SES was not associated.

BackgroundDespite well-documented cardiovascular disparities between racial groups, within-race determinants of cardiovascular health among Black adults remain understudied. Factors promoting cardiovascular resilience among Black adults in particular warrant further investigation. Our objective was to examine whether individual psychosocial resilience and neighborhood-level cardiovascular resilience were associated with better cardiovascular health in Black adults, measured utilizing Life's Simple 7 (LS7) scores.MethodsWe assessed LS7 scores in 389 Black adults (mean age, 53±10 years; 39% men) living in Atlanta, Georgia. A composite score of individual psychosocial resilience was created by assessing environmental mastery, purpose in life, optimism, resilient coping, and depressive symptoms. Neighborhood-level cardiovascular resilience was separately determined by the census tract-level rates of cardiovascular mortality/morbidity events. Generalized linear mixed regression models were used to examine the association between individual psychosocial resilience, neighborhood cardiovascular resilience, and LS7 scores.ResultsHigher individual psychosocial resilience was significantly associated with higher LS7 (β=0.38 [0.16-0.59] per 1 SD) after adjustment for sociodemographic factors. Similarly, higher neighborhood-level cardiovascular resilience was significantly associated with higher LS7 (β=0.23 [0.02-0.45] per 1 SD). When jointly examined, high individual psychosocial resilience (>median) was independently associated with higher LS7 (β=0.73 [0.31-1.17]), whereas living in high-resilience neighborhoods (>median) was not. The largest difference in LS7 score was between those with high and low psychosocial resilience living in low-resilience neighborhoods (8.38 [7.90-8.86] versus 7.42 [7.04-7.79]).ConclusionsIndividual psychosocial resilience in Black adults is associated with better cardiovascular health.

ObjectiveTo examine mediation and moderation of racial/ethnic all-cause mortality disparities among Veteran Health Administration (VHA)-users by neighborhood deprivation and residential segregation.Data sourcesElectronic medical records for 10/2008-9/2009 VHA-users linked to National Death Index, 2000 Area Deprivation Index, and 2006-2009 US Census.Study designRacial/ethnic groups included American Indian/Alaskan Native (AI/AN), Asian, non-Hispanic black, Hispanic, Native Hawaiian/Other Pacific Islander, and non-Hispanic white (reference). We measured neighborhood deprivation by Area Deprivation Index, calculated segregation for non-Hispanic black, Hispanic, and AI/AN using the Isolation Index, evaluated mediation using inverse odds-weighted Cox regression models and moderation using Cox regression models testing for neighborhood*race/ethnicity interactions.Principal findingsMortality disparities existed for AI/ANs (HR = 1.07, 95%CI:1.01-1.10) but no other groups after covariate adjustment. Neighborhood deprivation and Hispanic segregation neither mediated nor moderated AI/AN disparities. Non-Hispanic black segregation both mediated and moderated AI/AN disparities. The AI/AN vs. non-Hispanic white disparity was attenuated for AI/ANs living in neighborhoods with greater non-Hispanic black segregation (P = .047). Black segregation's mediating effect was limited to VHA-users living in counties with low black segregation. AI/AN segregation also mediated AI/AN mortality disparities in counties that included or were near AI/AN reservations.ConclusionsNeighborhood characteristics, particularly black and AI/AN residential segregation, may contribute to AI/AN mortality disparities among VHA-users, particularly in communities that were rural, had greater black segregation, or were located on or near AI/AN reservations. This suggests the importance of neighborhood social determinants of health on racial/ethnic mortality disparities. Living near reservations may allow AI/AN VHA-users to maintain cultural and tribal ties, while also providing them with access to economic and other resources. Future research should explore the experiences of AI/ANs living in black communities and underlying mechanisms to identify targets for intervention.

ObjectiveThis paper demonstrates that localized and chronic stop-question-and-frisk (SQF) practices are associated with community members' utilization of emergency department (ED) resources. To explain this relationship, we explore the empirical applicability of a legal epidemiological framework, or the study of legal institutional influences on the distribution of disease and injury.Data and study designAnalyses are derived from merging data from the Philadelphia Vehicle and Pedestrians Investigation, the National Historical Geographic Information System, and the Southeastern Philadelphia Community Health database to zip code identifiers common to all datasets. Weighted multilevel negative binomial regressions measure the influence that local SQF practices have on ED use for this population. Analytic methods incorporate patient demographic covariates including household size, health insurance status, and having a doctor as a usual source of care.Principal findingsFindings reveal that both tract-level frisking and poor health are linked to more frequent use of hospital EDs, per respondent report. Despite their health care needs, however, reporting poor/fair health status is associated with a substantial decrease in the rate of emergency department visits as neighborhood frisk concentration increases (IRR = 0.923; 95% CI: 0.891, 0.957). Moreover, more sickly people in high-frisk neighborhoods live in tracts that have greater racial disparities in frisking-a pattern that accounts for the moderating role of neighborhood frisking in sick people's usage of the emergency room.ConclusionsFindings indicating the robust association reported above interrogate the chronic incompatibility of local health and human service system aims. The study also provides an interdisciplinary theoretical lens through which stakeholders can make sense of these challenges and their implications.

BACKGROUND: Recent studies suggest that greater exposure to natural vegetation, or green space is associated with lower diabetes risk, possibly through increasing physical activity. However, there is limited research on green space and insulin resistance in youth. We hypothesized greater green space at early-life sensitive time periods would be associated with lower insulin resistance in youth. METHODS: We used data from Project Viva (N = 460), a pre-birth cohort study that recruited pregnant women in eastern Massachusetts, 1999-2002, and followed offspring into adolescence. We defined residential green space exposure at infancy (median age - 1.1 years), early childhood (3.2 years), mid-childhood (7.7 years), and early adolescence (12.8 years), using 30 m resolution Landsat satellite imagery to estimate the Normalized Difference Vegetation Index [NDVI]. Our main outcome was early adolescence estimated insulin resistance (HOMA-IR). We used multiple imputation to account for missing data and multiple linear regression models adjusted for age, sex, race/ethnicity, parental education, household income, and neighborhood median household income. RESULTS: The highest green space tertile had the highest percentage of white participants (85%), college-educated mothers (87%) and fathers (85%), and households with income higher than US$70,000 (86%). Unadjusted models showed that participants living in the highest green space tertile at infancy had a 0.15 unit lower HOMA-IR (95% CI: -0.23, -0.06) in early adolescence, than those living in the lowest tertile. However, in adjusted models, we did not observe evidence of associations between green space from infancy to early adolescence and HOMA-IR in early adolescence, although some point estimates were in the hypothesized direction. For example, participants in the highest green space tertile in infancy had 0.03 units lower HOMA-IR (95%CI: -0.14, 0.08) than those living in the lowest tertile. CONCLUSIONS: Exposure to green space at early life sensitive time periods was not associated with HOMA-IR in youth. Early-life longitudinal studies across diverse populations are needed to confirm or refute our results.

Community-engaged research (CEnR) builds on the strengths of the Clinical and Translational Science Awards (CTSA) framework to address health in underserved and minority communities. There is a paucity of studies that identify the process from which trust develops in CEnR partnerships. This study responds to the need for empirical investigation of building and maintaining trust from a multistakeholder perspective. We conducted a multi-institutional pilot study using concept mapping with to better understand how trust, a critical outcome of CEnR partnerships, can act as "social capital." Concept mapping was used to collect data from the three stakeholder groups: community, health-care, and academic research partners across three CTSAs. Concept mapping is a mixed-methods approach that allows participants to brainstorm and identify factors that contribute to a concept and describe ways in which those factors relate to each other. This study offers important insights on developing an initial set of trust measures that can be used across CTSAs to understand differences and similarities in conceptualization of trust among key stakeholder groups, track changes in public trust in research, identify both positive and negative aspects of trust, identify characteristics that maintain trust, and inform the direction for future research.

BackgroundLiving in greener areas of cities was linked to increased physical activity levels, improved mental well-being, and lowered harmful environmental exposures, all of which may affect human health. However, whether living in greener areas may be associated with lower risk of cardiovascular disease incidence, progression, and premature mortality is unclear.ObjectivesWe conducted a cohort study to examine the associations between residential green spaces and the incidence of acute myocardial infarction (AMI) and heart failure (HF), post-AMI and HF hospital readmissions, and mortality.MethodsWe simultaneously followed four large population-based cohorts in Ontario, Canada, including the entire adult population, adults free of AMI and HF, and survivors of AMI or HF from 2000 to 2014. We estimated residential exposure to green spaces using satellite-derived observations and ascertained health outcomes using validated disease registries. We estimated the associations using spatial random-effects Cox proportional hazards models. We conducted various sensitivity analyses, including further adjusting for property values and performing exploratory mediation analysis.ResultsEach interquartile range increase in residential greenness was associated with a 7% [95% confidence interval (CI): 4%, 9%] decrease in incident AMI and a 6% (95% CI: 4%, 7%) decrease in incident HF. Residential greenness was linked to a ∼10% decrease in cardiovascular mortality in both adults free of AMI and HF and the entire adult population. These associations remained consistent in sensitivity analyses and were accentuated among younger adults. Additionally, we estimated that the decreases in AMI and HF incidence associated with residential greenness explained ∼53% of the protective association between residential greenness and cardiovascular mortality. Conversely, residential greenness was not associated with any delay in readmission or mortality among AMI and HF patients.ConclusionsLiving in urban areas with more green spaces was associated with improved cardiovascular health in people free of AMI and HF but not among individuals who have already developed these conditions. https://doi.org/10.1289/EHP6161.

Nowadays, 23% of the world population lives in multi-million cities. In these metropolises, criminal activity is much higher and violent than in either small cities or rural areas. Thus, understanding what factors influence urban crime in big cities is a pressing need. Seminal studies analyse crime records through historical panel data or analysis of historical patterns combined with ecological factor and exploratory mapping. More recently, machine learning methods have provided informed crime prediction over time. However, previous studies have focused on a single city at a time, considering only a limited number of factors (such as socio-economical characteristics) and often at large in a single city. Hence, our understanding of the factors influencing crime across cultures and cities is very limited. Here we propose a Bayesian model to explore how violent and property crimes are related not only to socio-economic factors but also to the built environmental (e.g. land use) and mobility characteristics of neighbourhoods. To that end, we analyse crime at small areas and integrate multiple open data sources with mobile phone traces to compare how the different factors correlate with crime in diverse cities, namely Boston, Bogotá, Los Angeles and Chicago. We find that the combined use of socio-economic conditions, mobility information and physical characteristics of the neighbourhood effectively explain the emergence of crime, and improve the performance of the traditional approaches. However, we show that the socio-ecological factors of neighbourhoods relate to crime very differently from one city to another. Thus there is clearly no one fits all model.

Neighborhood conditions are associated with health outcomes, but whether individual health behaviors are independent of or associated with the settings are not clear. We analyzed the California Health Interview Survey (CHIS) (N = 11,152) data to determine if the perceptions and behaviors of similar individuals with an income low enough to be eligible for SNAP-Ed services differed based on whether they lived in high- or low-income neighborhoods. We found that SNAP-Ed eligible individuals living in low-income neighborhoods walked for transportation more frequently (3.04 times versus 2.38 times, p = 0.001), drank sugary beverages more frequently in the past month (2.93 times versus 1.69 times, p = 0.000), and had a higher risk of obesity than similar low-income individuals living in high-income neighborhoods (0.34 versus 0.26, p = 0.012).

Firearm violence may indirectly affect health among pregnant women living in neighborhoods where it is endemic. We used birth, death, emergency department, and hospitalization data from California from 2007-2011 to estimate the association between living in a neighborhood with high firearm violence and preterm delivery, and assessed whether there was mediation by diagnoses of pregnancy complications and health behaviors during pregnancy. We used an ensemble machine learning algorithm to predict the propensity for neighborhoods to be classified as having a high level of firearm violence. Risk differences for the total effect and stochastic direct and indirect effects were estimated using targeted maximum likelihood. Residence in high-violence neighborhoods was associated with higher prevalence of preterm birth (risk difference (RD) = 0.46, 95% confidence interval (CI): 0.13, 0.80), infections (RD = 1.34, 95% CI: -0.17, 2.86), asthma (RD = 0.76, 95% CI: 0.03, 1.48), and substance use (RD = 0.74, 95% CI: 0.00, 1.47). The largest indirect effects for the association between violence and preterm birth were observed for infection (stochastic indirect effect = 0.04, 95% CI: 0.00, 0.08) and substance use (stochastic indirect effect = 0.04, 95% CI: 0.01, 0.06). Firearm violence was associated with risk of preterm delivery, and this association was partially mediated by infection and substance use.

Cardiovascular disease disparities are shaped by differences in risk factors across racial and ethnic groups. Housing remains an important social determinant of health. The objective of this statement is to review and summarize research that has examined the associations of housing status with cardiovascular health and overall health. PubMed/Medline, Centers for Disease Control and Prevention data, US Census data, Cochrane Library reviews, and the annual Heart Disease and Stroke Statistics report from the American Heart Association were used to identify empirical research studies that examined associations of housing with cardiovascular health and overall well-being. Health is affected by 4 prominent dimensions of housing: stability, quality and safety, affordability and accessibility, and neighborhood environment. Vulnerable and underserved populations are adversely affected by housing insecurity and homelessness, are at risk for lower-quality and unsafe housing conditions, confront structural barriers that limit access to affordable housing, and are at risk for living in areas with substandard built environment features that are linked to cardiovascular disease. Research linking select pathways to cardiovascular health is relatively strong, but research gaps in other housing pathways and cardiovascular health remain. Efforts to eliminate cardiovascular disease disparities have recently emphasized the importance of social determinants of health. Housing is a prominent social determinant of cardiovascular health and well-being and should be considered in the evaluation of prevention efforts to reduce and eliminate racial/ethnic and socioeconomic disparities.

Objective: To assess whether unhealthy behaviors moderated the relationship between allostatic load (AL) and future significant depressive symptoms (SDSs) among 1,789 older Latinos. Method: Longitudinal data included baseline AL, three unhealthy behaviors (UBs), and 2-year follow-up SDS. Multivariable logistic regression analyses, stratified by birthplace (U.S. vs. foreign born), modeled the effects of AL, UB count (range = 0-3), and their interaction on follow-up SDS. Results: Compared with U.S.-born, foreign-born participants engaged in fewer UBs (0.52 vs. 0.60 behaviors, p = .01) and had higher baseline SDS (31% vs. 20%, p < .001). Among foreign-born participants, the effect of AL on future SDS (adjusted odds ratios [aORs]; 95% confidence interval [CI]) significantly increased across UB counts of 0 to 3: 1.06 [0.83, 1.35], 1.46 [1.14, 1.87], 2.00 [1.18, 3.41], and 2.75 [1.18, 6.44], respectively. Discussion: Among foreign-born Latinos, these results were most pronounced for women and adults above age 80, which may represent higher risk groups requiring more intensive screening for depression.

Female genital mutilation/cutting (FGM/C) is outlawed in much of the world but still mainly occurs from infancy-age 15. Many at-risk and FGM/C-affected girls live in the US. No standard pediatric training exists. A questionnaire assessing FGM/C education, knowledge, diagnostic confidence and external genital examination (EGE) approach was sent to pediatric listservs at 3 hospitals and a child abuse pediatrician (CAP) network. Analysis used χ2 and Fisher's exact tests. Compared to general pediatricians, CAP reported more FGM/C education (RR 2.0 [95% CI 1.3-3.2]), awareness of ICD-9/10 codes (RR 3.2 [95% CI 1.4-7.3]), confidence in identifying sub-types (RR 4.5 [95% CI 2.3-8.7]) and discussing FGM/C (RR 4.2 [95% CI 2.3-7.6]). For 6-12 month olds, 10% of general pediatricians reported never performing EGE at female well child visits (WCV), increasing to > 50% for 17-18 year olds. Pediatric physicians are not trained to diagnose or manage FGM/C. EGE are not done at WCVs and FGM/C diagnoses are missed.

BackgroundReproductive aging may contribute to cardiometabolic comorbid conditions. We integrated data on gynecologic history with levels of an ovarian reserve marker (anti-müllerian hormone [AMH)] to interrogate reproductive aging patterns and associated factors among a subset of cisgender women with human immunodeficiency virus (WWH) enrolled in the REPRIEVE trial.MethodsA total of 1449 WWH were classified as premenopausal (n = 482) (menses within 12 months; AMH level ≥20 pg/mL; group 1), premenopausal with reduced ovarian reserve (n = 224) (menses within 12 months; AMH 12 months of amenorrhea). Excluding WWH with surgical menopause, age at final menstrual period was summarized for postmenopausal WWH (group 3) and estimated among all WWH (groups 1-3) using an accelerated failure-time model.ResultsCardiometabolic and demographic parameters associated with advanced reproductive age (controlling for chronologic age) included waist circumference (>88 vs ≤88 cm) (odds ratio [OR], 1.38; 95% confidence interval, 1.06-1.80; P = .02), hemoglobin (≥12 vs

BackgroundGiven the substantive health inequalities in peri-urban communities and the potential for physical activity to promote health in these communities, identifying modifiable physical activity determinants in this population is important. This study explored effects of the peri-urban environment and psychological constructs on physical activity intentions and behavioural automaticity guided by an integrated theoretical framework.MethodsPeri-urban Australians (N = 271) completed self-report measures of environmental (i.e. physical/social environment, and neighbourhood selection), motivational (i.e. autonomous motivation), and social cognition (i.e. attitudes, norms, and perceived behavioural control [PBC]) constructs, past behaviour, intentions, and automaticity.ResultsA well-fitting path analytic model revealed that: autonomous motivation predicted all social cognition constructs; subjective norms and PBC, but not attitudes; autonomous motivation predicted intentions and automaticity; and subjective norms and PBC mediated effects of autonomous motivation on intentions. Of the environmental constructs, only neighbourhood selection was related to intentions, mediated by PBC.ConclusionsAutonomous motivation is an important correlate of physical activity intentions and automaticity, and subjective norms and PBC also related to intentions. Individuals perceiving a supportive environment were more likely to report positive PBC and intentions. Targeting change in autonomous motivation, and normative and control beliefs may help enhance physical activity intentions and automaticity in peri-urban communities.

The study's main aim was to examine whether adults' accelerometer-based physical activity and sedentary time mediated the associations of neighbourhood physical environmental perceptions with body mass index (BMI) and weight status across 10 high- and middle-income countries. Data from the IPEN Adult study, an observational multi-country study (n = 5712) were used. Results showed that sedentary time was a non-significant or inconsistent mediator in all models. MVPA mediated the associations of street connectivity, land use mix-diversity, infrastructure/safety for walking and aesthetics with BMI in single models. In the multiple model, MVPA only fully mediated the relation between land use mix-diversity and BMI. This finding was replicated in the models with weight status as outcome. MVPA partially mediated associations of composite environmental variables with weight status. So, although MVPA mediated some associations, future comprehensive studies are needed to determine other mechanisms that could explain the relation between the physical environment and weight outcomes. Food intake, food accessibility and the home environment may be important variables to consider. Based on the consistency of results across study sites, global advocacy for policies supporting more walkable neighbourhoods should seek to optimize land-use-mix when designing and re-designing cities or towns.

Women are more likely than men to forego care-including preventive care. Understanding which factors influence womens preventive care use has the potential to improve health. This study focuses on the largely understudied areas of psychological barriers (depression) and neighborhood factors (support and stressors) that may be associated with womens preventive care use through secondary analysis of the Chicago Community Adult Health Study. Across models, 30-40% of the variance in preventive care adherence was explained by the neighborhood. Depressive symptoms were not associated with preventive care use when neighborhood factors were included. However, stratified models showed that associations varied by race/ethnicity. Previous research has tended to focus on individual determinants of care, but this study suggests that barriers to care are far more complex. Efforts aimed at improving care utilization need to be multipronged and interventions need to take an individuals demographics, mental health, and context into account.

The novel 2019 Coronavirus Disease (COVID-19) pandemic has led to the closing of all but essential businesses in California. However, several nonessential businesses have remained open in Southern California despite the mandated "stay at home" order issued by the governor. As part of an ongoing vape shop project involving 88 participating shops, this study investigated the number of vape shops that remained open amidst the coronavirus outbreak and related mandates. Examination of shop social media websites and telephone calls to shops revealed that 61.4% (n = 54) have remained open, particularly within Korean/Asian and Hispanic/Latino ethnic locations (32 of the 54 shops). Importantly, walk-in service was much higher within Hispanic/Latino locations compared to African American, Korean/Asian, or non-Hispanic White neighborhoods (p = 0.03). It is not known if shops that stayed open were in direct violation of the order, didn't know all the details of the order, or found a loophole in the order and believed that they were an essential business. Better communication between the vape shop industry and public health officials during this pandemic is needed.

BackgroundEffective place-based interventions for childhood obesity call for the recognition of the high-risk neighbourhoods and an understanding of the determinants present locally. However, such an approach is uncommon. In this study, we identified neighbourhoods with elevated prevalence of childhood obesity ('hotspots') in the Porto Metropolitan Area and investigated to what extent the socio-economic and built environment characteristics of the neighbourhoods explained such hotspots.MethodsWe used data on 5203 7-year-old children from a population-based birth cohort, Generation XXI. To identify hotspots, we estimated local obesity odds ratios (OR) and 95% confidence intervals (95%CI) using generalized additive models with a non-parametric smooth for location. Measures of the socio-economic and built environment were determined using a Geographic Information System. Associations between obesity and neighbourhood characteristics were expressed as OR and 95%CI after accounting for individual-level variables.ResultsAt 7 years of age, 803 (15.4%) children were obese. The prevalence of obesity varied across neighbourhoods and two hotspots were identified, partially explained by individual-level variables. Adjustment for neighbourhood characteristics attenuated the ORs and further explained the geographic variation. This model revealed an association between neighbourhood socio-economic deprivation score and obesity (OR = 1.014, 95%CI 1.004-1.025), as well as with the presence of fast-food restaurants at a walkable distance from the residence (OR = 1.37, 1.06-1.77).ConclusionsIn our geographic area it was possible to identify neighbourhoods with elevated prevalence of childhood obesity and to suggest that targeting such high-priority neighbourhoods and their environmental characteristics may help reduce childhood obesity.

Long-term outcomes remain suboptimal following pediatric liver transplantation; only one third of children have normal biochemical liver function without immunosuppressant comorbidities 10 years posttransplant. We examined the association between an index of neighborhood socioeconomic deprivation with graft and patient survival using the Scientific Registry of Transplant Recipients. We included children

PurposeTo examine cross-sectional associations between perceived neighborhood environment and cognitive function among middle-aged and older Hispanic/Latino women and men.MethodsData from the Hispanic Community Health Study/Study of Latinos (2008-2011) and its Sociocultural Ancillary Study (2009-2010) were used. Participants were Hispanic/Latino women (n = 1812) and men (n = 1034) aged 45-74 years. Survey-weighted linear regression models were used to examine associations between self-reported perceived neighborhood environment (i.e., neighborhood social cohesion and problems categorized as quintiles, and neighborhood safety from crime categorized as low, medium, or high) with cognitive function (i.e., global cognition, verbal learning, memory, verbal fluency, and processing speed scores) in women and men. Final model adjusted for age, Hispanic/Latino background, language, field site, household income, education, years lived in neighborhood, and depressive symptoms.ResultsWomen in the lowest quintile of perceived neighborhood problems (vs. highest quintile) had higher global cognition (β 0.48, 95% CI 0.03, 0.94, p trend 0.229) and memory scores (0.60, 95% CI 0.11, 1.09, p trend: 0.060). Women in the highest quintile of perceived neighborhood social cohesion (vs. lowest quintile) had lower global cognition (β - 0.56, 95% CI - 1.02, - 0.09, p trend 0.004), verbal learning (B - 1.01, 95% CI - 2.00, - 0.03, p trend 0.015), verbal fluency (B - 2.00, 95% CI - 3.83, - 0.16, p trend 0.006), and processing speed (B - 2.11, 95% CI - 3.87, - 0.36, p trend 0.009). There was no association between perceived neighborhood safety from crime and cognition among women, or between any perceived neighborhood environment measure and cognition among men.ConclusionsMiddle-aged and older Hispanic/Latina women living in neighborhoods with the lowest perceived problems had higher global cognition and memory. Women living in neighborhoods with the highest perceived social cohesion had lower global cognition, verbal learning, verbal fluency, and processing speed.

IntroductionInsufficient physical activity (PA) and obesity-related health conditions have reached epidemic proportions worldwide. Mexican American women (MAW) report low leisure time physical activity. Few studies examine activities beyond leisure time. Qualitative research suggests that partner support influence provides a cultural approach relevant to PA among MAW.MethodThis cross-sectional study used an ecological model to investigate community (the physical environment), interpersonal (partner support, attitudinal familism), and intrapersonal (age, health conditions, acculturation, employment, and body mass index) factors associated with PA among 112 MAW. Community-based participatory research recommendations guided the preparatory phase of the study and the face-to-face interviews. Frequencies and descriptive statistics were computed. Multivariable linear regression analyses were used to examine associations between study variables.ResultsModerate to high PA levels were found based on combined activities performed during leisure time, transportation, household tasks, and occupational duties. Women with greater partner support reported higher PA levels. Although acculturation levels were low among women, those with higher acculturation were found to be more physically active.ConclusionsFuture studies should examine strategies to increase partner support and address acculturation within intervention programs to enhance overall PA among MAW.

PurposeThe type of dwelling where a child lives is an important factor when considering residential exposure to environmental agents. In this paper, we explore its role when estimating the potential effects of magnetic fields (MF) on leukemia using data from the California Power Line Study (CAPS). In this context, dwelling type could be a risk factor, a proxy for other risk factors, a cause of MF exposure, a confounder, an effect-measure modifier, or some combination.MethodsWe obtained information on type of dwelling at birth on over 2,000 subjects. Using multivariable-adjusted logistic regression, we assessed whether dwelling type was a risk factor for childhood leukemia, which covariates and MF exposures were associated with dwelling type, and whether dwelling type was a potential confounder or an effect-measure modifier in the MF-leukemia relationship under the assumption of no-uncontrolled confounding.ResultsA majority of children lived in single-family homes or duplexes (70%). Dwelling type was associated with race/ethnicity and socioeconomic status but not with childhood leukemia risk, after other adjustments, and did not alter the MF-leukemia relationship upon adjustment as a potential confounder. Stratification revealed potential effect-measure modification by dwelling type on the multiplicative scale.ConclusionDwelling type does not appear to play a significant role in the MF-leukemia relationship in the CAPS dataset as a leukemia risk factor or confounder. Future research should explore the role of dwelling as an effect-measure modifier of the MF-leukemia association.

While there is evidence that access to nature and parks benefits pediatric health, it is unclear how low-income families living in an urban center acknowledge or prioritize access to parks.MethodsWe conducted a study about access to parks by pediatric patients in a health system serving low-income families. Adult caregivers of pediatric patients completed a survey to identify and prioritize unmet social and economic needs, including access to parks. Univariate and multivariate analyses were conducted to explore associations between lack of access to parks and sociodemographic variables. We also explored the extent to which access to parks competed with other needs.ResultsThe survey was completed by 890 caregivers; 151 (17%) identified "access to green spaces/parks/playgrounds" as an unmet need, compared to 397 (45%) who endorsed "running out of food before you had money or food stamps to buy more". Being at or below the poverty line doubled the odds ( Odds ratio 1.96, 95% CI 1.16-3.31) of lacking access to a park (reference group: above the poverty line), and lacking a high school degree nearly doubled the odds. Thirty-three of the 151 (22%) caregivers who identified access to parks as an unmet need prioritized it as one of three top unmet needs. Families who faced competing needs of housing, food, and employment insecurity were less likely to prioritize park access (p < 0.001).ConclusionClinical interventions to increase park access would benefit from an understanding of the social and economic adversity faced by patients.

IntroductionIn the USA, transgender women are among the most vulnerable to HIV. In particular, transgender women of colour face high rates of infection and low uptake of important HIV prevention tools, including pre-exposure prophylaxis (PrEP). This paper describes the design, sampling methods, data collection and analyses of the TURNNT ('Trying to Understand Relationships, Networks and Neighbourhoods among Transgender women of colour') study. In collaboration with communities of transgender women of colour, TURNNT aims to explore the complex social and environmental (ie, neighbourhood) structures that affect HIV prevention and other aspects of health in order to identify avenues for intervention.Methods and analysesTURNNT is a prospective cohort study, which will recruit 300 transgender women of colour (150 Black/African American, 100 Latina and 50 Asian/Pacific Islander participants) in New York City. There will be three waves of data collection separated by 6 months. At each wave, participants will provide information on their relationships, social and sexual networks, and neighbourhoods. Global position system technology will be used to generate individual daily path areas in order to estimate neighbourhood-level exposures. Multivariate analyses will be conducted to assess cross-sectional and longitudinal, independent and synergistic associations of personal relationships (notably individual social capital), social and sexual networks, and neighbourhood factors (notably neighbourhood-level social cohesion) with PrEP uptake and discontinuation.Ethics and disseminationThe TURNNT protocol was approved by the Columbia University Institutional Review Board (reference no. AAAS8164). This study will provide novel insights into the relationship, network and neighbourhood factors that influence HIV prevention behaviours among transgender women of colour and facilitate exploration of this population's health and well-being more broadly. Through community-based dissemination events and consultation with policy makers, this foundational work will be used to guide the development and implementation of future interventions with and for transgender women of colour.

PurposeThe rise of noncigarette, alternative tobacco product (ATP) use among adolescents may be due in part to an increase in retail availability of ATPs. We examined whether proximity and density of tobacco retailers near students' homes are associated with a higher likelihood of initiating ATP use over time.MethodsUsing data from 728 adolescents (aged 13-19 years at baseline) residing in 191 different neighborhoods and attending 10 different California high schools, longitudinal multilevel and cross-classified random effect models evaluated individual-level, neighborhood-level, and school-level risk factors for ATP initiation after 1 year. Covariates were obtained from the American Community Survey and the California Department of Education.ResultsThe sample was predominantly female (63.5%) and was racially and ethnically diverse. Approximately one third of participants (32.5%) reported ever ATP use at baseline, with 106 (14.5%) initiating ATP use within 1 year. The mean number of tobacco retailers per square mile within a tract was 5.66 (standard deviation = 6.3), and the average distance from each participant's residence to the nearest tobacco retailer was .61 miles (standard deviation = .4). Living in neighborhoods with greater tobacco retailer density at baseline was associated with higher odds of ATP initiation (odds ratio = 1.22, 95% confidence interval = 1.07-2.12), controlling for individual and school factors.ConclusionsTobacco retailers clustered in students' home neighborhood may be an environmental influence on adolescents' ATP use. Policy efforts to reduce adolescent ATP use should aim to reduce the density of tobacco retailers and limit the proximity of tobacco retailers near adolescents' homes and schools.

Trees can sequester air pollutants, and air pollution is associated with poor tuberculosis outcomes. However, the health impacts of urban trees on tuberculosis patients are unknown. To elucidate the effects of urban tree canopy on mortality during tuberculosis treatment, we evaluated patients diagnosed with active tuberculosis in California from 2000 through 2012, obtaining patient data from the California tuberculosis registry. Our primary outcome was all-cause mortality during tuberculosis treatment. We determined percent tree cover using 1 mresolution color infrared orthoimagery categorized into land cover classes, then linked tree cover to four circular buffer zones of 50-300 m radii around patient residential addresses. We used the Kaplan-Meier method to estimate survival probabilities and Cox regression models to determine mortality hazard ratios, adjusting for demographic, socioeconomic, and clinical covariates. Our cohort included 33,962 tuberculosis patients of median age 47, 59% male, 51% unemployed, and 4.9% HIV positive. Tuberculosis was microbiologically confirmed in 79%, and 1.17% were multi-drug resistant (MDR). Median tree cover was 7.9% (50 m buffer). Patients were followed for 23,280 person-years with 2370 deaths during tuberculosis treatment resulting in a crude mortality rate of 1018 deaths per 10,000 person-years. Increasing tree cover quintiles were associated with decreasing mortality risk during tuberculosis treatment in all buffers, and the magnitude of association decreased incrementally with increasing buffer radius: In the 50 m buffer, patients living in neighborhoods with the highest quintile tree cover experienced a 22% reduction in mortality (HR 0.78, 95%CI 0.68-0.90) compared to those living in lowest quintile tree cover; whereas for 100, 200, and 300 m buffers, a 21%, 13%, and 11% mortality risk reduction was evident. In conclusion, urban tree canopy was associated with decreased mortality during tuberculosis treatment even after adjusting for multiple demographic, socioeconomic, and clinical factors, suggesting that trees might play a role in improving tuberculosis outcomes.

Research supports that exposure to stressors (e.g., perceived stress and racism) during pregnancy can negatively impact the immune system, which may lead to infection and ultimately increases the risk for having a preterm or low-birthweight infant. It is well known that Black women report higher levels of stressors at multiple timepoints across pregnancy compared with women of all other racial and ethnic groups. This study addresses gaps in the literature by describing pregnant and early post-partum Black women's exposures to structural racism and self-reported experiences of racial discrimination, and the extent to which these factors are related. We used a cross-sectional study design to collect data related to exposures to racism from pregnant and early post-partum Black women residing in Oakland, California, from January 2016 to December 2017. Comparative analysis revealed that living in highly deprived race + income neighborhoods was associated with experiencing racial discrimination in three or more situational domains (p = .01). Findings show that Black women are exposed to high levels of racism that may have negative impacts on maternal health outcomes.

ObjectiveThis study determined the extent to which schools adhered to select nutrition and wellness provisions of the 2010 Healthy, Hunger-Free Kids Act and examined differences by US region and school poverty level.DesignComparison of cross-sectional observational data from the Healthy Communities Study (2013-2015) by region and school poverty level.ParticipantsA total of 401 US elementary and middle schools.Main outcome measuresAdherence with federal nutrition standards for meals and competitive foods; extent of implementation of select aspects of school wellness policies.AnalysisDescriptive statistics and multivariate regression were used. Differences were examined by school poverty level and region, adjusting for other school- and community-level covariates.ResultsMost schools reported meeting reimbursable school meal nutrition standards (74%); more schools in the West met nutrition standards (82%) than in the Midwest (64%). Most grains offered at lunch were whole grain-rich (82%), and most competitive foods complied with standards (78%) before they were required. Most schools had a wellness coordinator (80%). Lowest levels of adherence were reported for guidelines for classroom or school event foods. No differences were observed by school poverty level.Conclusions and implicationsFindings suggest that Healthy Hunger-Free Kids Act provisions were feasible across a wide variety of schools, and schools successfully implemented reimbursable school meal nutrition standards regardless of school poverty level.

Background and objectivesGlobally, obesity influences the risk of many major chronic diseases. Our study examines the association between individual nativity and neighborhood level concentration of immigrants with 10-year changes in weight, body mass index (BMI), and waist circumference (WC) among older Latinos.Research design and methodsThe Sacramento Area Latino Study on Aging (SALSA) is a population-based prospective study of community-dwelling older adults of Mexican origin (baseline ages 58-101 years). The primary outcome was repeated measures of weight over a 10-year period for 1,628 respondents. Nativity was defined by participants' reported place of birth (US-born or Latin American foreign born). Neighborhood immigrant concentration was measured as the percentage of foreign born at census tract level (2000 US Census). We used linear mixed models with repeated measures of weight, height, BMI, and WC as dependent variables (level 1), clustered within individuals (level 2) and neighborhood migrant concentration (level 3).ResultsForeign born (FB) respondents had lower baseline weight than the US-born (mean, 160 vs. 171 lbs, p < .0001). Over time, weight differences between the FB and the US-born decreased by 1.7 lbs/5 years as US-born weight decreased more rapidly. We observed a significant interaction between individual nativity and neighborhood immigrant concentration (p = .012). We found similar patterns for BMI, but did not find statistically significant differences in WC trajectories.Discussion and implicationsOur study observed significant differences by foreign born vs. US nativity in baseline weight/BMI and in their trajectories over time. Additionally, we found weight/BMI differences in neighborhood immigrant concentration for the FB, but not for the US-born.

Obesity and type 2 diabetes disproportionately impact U.S. racial and ethnic minority communities and low-income populations. Improvements in implementing efficacious interventions to reduce the incidence of type 2 diabetes are underway (i.e., the National Diabetes Prevention Program), but challenges in effectively scaling-up successful interventions and reaching at-risk populations remain. In October 2017, the National Institutes of Health convened a workshop to understand how to (1) address socioeconomic and other environmental conditions that perpetuate disparities in the burden of obesity and type 2 diabetes; (2) design effective prevention and treatment strategies that are accessible, feasible, culturally relevant, and acceptable to diverse population groups; and (3) achieve sustainable health improvement approaches in communities with the greatest burden of these diseases. Common features of guiding frameworks to understand and address disparities and promote health equity were described. Promising research directions were identified in numerous areas, including study design, methodology, and core metrics; program implementation and scalability; the integration of medical care and social services; strategies to enhance patient empowerment; and understanding and addressing the impact of psychosocial stress on disease onset and progression in addition to factors that support resiliency and health.

ObjectiveInitiatives to reduce neighborhood-based health disparities require access to meaningful, timely, and local information regarding health behavior and its determinants. We examined the validity of Twitter as a source of information for neighborhood-level analysis of dietary choices and attitudes.Materials and methodsWe analyzed the "healthiness" quotient and sentiment in food-related tweets at the census tract level, and associated them with neighborhood characteristics and health outcomes. We analyzed keywords driving the differences in food healthiness between the most and least-affluent tracts, and qualitatively analyzed contents of a random sample of tweets.ResultsSignificant, albeit weak, correlations existed between healthiness and sentiment in food-related tweets and tract-level measures of affluence, disadvantage, race, age, U.S. density, and mortality from conditions associated with obesity. Analyses of keywords driving the differences in food healthiness revealed foods high in saturated fat (eg, pizza, bacon, fries) were mentioned more frequently in less-affluent tracts. Food-related discussion referred to activities (eating, drinking, cooking), locations where food was consumed, and positive (affection, cravings, enjoyment) and negative attitudes (dislike, personal struggles, complaints).DiscussionTweet-based healthiness scores largely correlated with offline phenomena in the expected directions. Social media offer less resource-intensive data collection methods than traditional surveys do. Twitter may assist in informing local health programs that focus on drivers of food consumption and could inform interventions focused on attitudes and the food environment.ConclusionsTwitter provided weak but significant signals concerning food-related behavior and attitudes at the neighborhood level, suggesting its potential usefulness for informing local health disparity reduction efforts.

This study analyzes data from a new Urban Health and Demographic Surveillance (UHDSS) in five slums in Dhaka (North and South) and Gazipur City Corporations to examine the relationship between migration status and maternal and child health service utilization. Migration status was determined by duration in urban slums (

Neighborhood characteristics and the built environment are important determinants in shaping health inequalities. We evaluate the role of a retail density ordinance in reducing concentration of tobacco stores based on neighborhood characteristics and land use pattern in San Francisco. The study evaluated the spatial distribution of tobacco retailers before and after the ordinance to identify geographic pockets where the most significant reduction had occurred. A generalized additive model was applied to assess the association between the location of the closure of tobacco retailer and socio-demographic characteristics and land use pattern. We did not find a meaningful change in the overall concentration of retailers based on neighborhood income and ethnicity but found a significant association based on patterns of land use. Our findings suggest that future polices must account for the differential distribution of retailers based on land use mix to lower concentration in areas where it is needed the most.

The mass incarceration of African Americans is both a driver of racial health inequalities in the USA. Systemic social biases which associate African American men with criminality, violence, and as a particular threat to white women may partially explain their over-representation in the criminal justice system. We combined data from the Washington, DC Metro Police Department (MPD) and the American Community Survey to test whether neighborhood-level gender, race, and economic makeup were associated with elevated drug-related arrest disproportions for African American men. We found that African American men were significantly overrepresented in all drug-related arrests across the District, and that this arrest disproportion was significantly higher in neighborhoods that had a higher percentage of white female residents. The association between race and gender was somewhat attenuated, but not completely eliminated, when we introduced socio-economic variables to our model. Addressing the social determinants of criminal justice disparities must account for the intersection of race, gender, and economics, rather than considering race in isolation.

We conducted secondary data analyses of pooled data from a clinical trial that prescribed park visits to children and their caregivers in a low-income, urban setting. Data were collected at the prescribing visit (baseline) and at one and three months of follow up from 78 families. Family characteristics were identified at baseline; regression models were used to explore changes during follow up in associations of park use with knowledge, attitudes and perceived access to parks. At baseline, park users differed from non-users in demographics, knowledge of park locations, attitudes about the value of park visits, but not affinity for nature. Park users were also more likely than non-users to feel that their neighborhood was safe for children to play in. Changes in knowledge of park locations, nature affinity, and perceived access to parks were each significantly associated with increased park use by families at one and three months after the park prescription. Adjusting for age, gender, race, poverty, and US birth, increases in knowing the location of parks were associated with an increase of 0.27 weekly park visits (95% CI 0.05, 0.49; p = 0.016); increases in feeling a caregiver had money to visit parks were associated with 0.48 more weekly park visits (95% CI 0.28, 0.69; p < 0.001); increases in perceived money for park outings were associated with 0.24 increased park visits per week (95% CI 0.05, 0.42; p = 0.01); each unit increase in nature affinity was associated with 0.34 more weekly park visits (95% CI 0.09, 0.59; p = 0.007). In other words, knowing where to go, valuing nature, and having time, and money contributed to increased likelihood of visiting a park. We discuss in terms of health behavior theory how demographics, knowledge, attitudes and perceived barriers to park use can inform park prescription interventions.

During puberty, a woman's breasts are vulnerable to environmental damage ("window of vulnerability"). Early exposure to environmental carcinogens, endocrine disruptors, and unhealthy foods (refined sugar, processed fats, food additives) are hypothesized to promote molecular damage that increases breast cancer risk. However, prospective human studies are difficult to perform and effective interventions to prevent these early exposures are lacking. It is difficult to prevent environmental exposures during puberty. Specifically, young women are repeatedly exposed to media messaging that promotes unhealthy foods. Young women living in disadvantaged neighborhoods experience additional challenges including a lack of access to healthy food and exposure to contaminated air, water, and soil. The purpose of this review is to gather information on potential exposures during puberty. In future directions, this information will be used to help elementary/middle-school girls to identify and quantitate environmental exposures and develop cost-effective strategies to reduce exposures.

BackgroundAsthma disproportionately affects communities of colour in the USA, but the underlying factors for this remain poorly understood. In this study, we assess the role of historical redlining as outlined in security maps created by the Home Owners' Loan Corporation (HOLC), the discriminatory practice of categorising neighbourhoods on the basis of perceived mortgage investment risk, on the burden of asthma in these neighbourhoods.MethodsWe did an ecological study of HOLC risk grades and asthma exacerbations in California using the security maps available for the following eight cities: Fresno, Los Angeles, Oakland, Sacramento, San Diego, San Jose, San Francisco, and Stockton. Each census tract was categorised into one of four risk levels (A, B, C, or D) on the basis of the location of population-weighted centroids on security maps, with the worst risk level (D) indicating historical redlining. We obtained census tract-level rates of emergency department visits due to asthma from CalEnviroScreen 3.0. We assessed the relationship between risk grade and log-transformed asthma visit rates between 2011 and 2013 using ordinary least squares regression. We included potential confounding variables from the 2010 Census and CalEnviroScreen 3.0: diesel exhaust particle emissions, PM2·5, and percent of the population living below 2 times the federal poverty level. We also built random intercept and slope models to assess city-level variation in the relationship between redlining and asthma.FindingsIn the 1431 census tracts assessed (64 [4·5%] grade A, 241 [16·8%] grade B, 719 [50·2%] grade C, and 407 [28·4%] grade D), the proportion of the population that was non-Hispanic black and Hispanic, the percentage of the population living in poverty, and diesel exhaust particle emissions all significantly increased as security map risk grade worsened (p

ObjectiveImprovement in health-related quality of life (HRQoL) is a public health goal of Healthy People 2020. Hispanics living in the United States are at risk for poor HRQoL, but the causes and correlates of this risk are not well understood. Thus, the present study examined individual-level psychosocial and neighborhood-level built environment correlates of physical and mental HRQoL among Hispanic adults.MethodA community sample of Hispanic adults (N = 383) completed self-report health-related questionnaires, and census tract was used to collect data on neighborhood-level built environment variables. Multilevel modeling was used to examine individual-level psychosocial (language preference, religiosity, subjective social status, discrimination, and number of years lived in the United States) and neighborhood-level built-environment (the retail food environment, proximity to alcohol retailers, and tobacco retailer density) correlates of physical and mental HRQoL.ResultsHigher subjective social status was significantly associated with better HRQoL, and more experiences with discrimination were significantly associated with lower HRQoL. For physical HRQoL, these relationships were stronger in neighborhoods with a higher density of tobacco retail outlets.ConclusionsFindings from this study suggest that subjective social status and discrimination play important roles in HRQoL among Hispanics, in particular in neighborhoods with a higher density of tobacco retail outlets. This study highlights the importance of considering neighborhood context, and in particular neighborhood disadvantage, when examining the relationship between social status, discrimination and HRQoL among Hispanics. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Individuals with serious mental illness experience changes in their clinical states over time that are difficult to assess and that result in increased disease burden and care utilization. It is not known if features derived from speech can serve as a transdiagnostic marker of these clinical states. This study evaluates the feasibility of collecting speech samples from people with serious mental illness and explores the potential utility for tracking changes in clinical state over time. Patients (n = 47) were recruited from a community-based mental health clinic with diagnoses of bipolar disorder, major depressive disorder, schizophrenia or schizoaffective disorder. Patients used an interactive voice response system for at least 4 months to provide speech samples. Clinic providers (n = 13) reviewed responses and provided global assessment ratings. We computed features of speech and used machine learning to create models of outcome measures trained using either population data or an individual's own data over time. The system was feasible to use, recording 1101 phone calls and 117 hours of speech. Most (92%) of the patients agreed that it was easy to use. The individually-trained models demonstrated the highest correlation with provider ratings (rho = 0.78, p

BackgroundUrban trails are a useful resource to promote physical activity. This study identified features of urban trails that correlated with trail use.MethodsMultiuse urban trails were selected in Chicago, Dallas, and Los Angeles. An audit of each trail was completed using the Systematic Pedestrian and Cyclist Environmental Scan for Trails instrument, identifying built environmental features. A self-report of trail use was obtained from trailside residents (N = 331) living within 1 mile of each trail. Univariate and multivariate Poisson regressions controlled for trail time from home and motivation for physical activity.ResultsPositive associations with the past month's hours on the trail were observed for the presence of distance signs, vegetation height, vegetation maintenance, and trail crowding, and a negative association was observed for the presence of crossings on the trail. Positive associations with dichotomous trail use were observed for the presence of distance signs, vegetation height, and vegetation maintenance, and a negative association was observed for the presence of crossings on the trail.ConclusionsThese correlates should be confirmed in other studies and, if supported, should be considered in the promotion and design of urban trails.

IntroductionExpert opinion suggests that efforts to address childhood obesity should seek to transform the environments in which children operate. The objective of this study was to describe the extent to which multisetting programs and policies interact with community and child predictors and are associated with child body mass index (BMI) in the 130 US communities participating in the Healthy Communities Study.MethodsFor 2 years beginning in fall 2013, we collected data through key informant interviews on community programs and policies related to healthy weight among children that occurred in the 10 years before the interview. We characterized community programs and policies by intensity of efforts and the number of settings in which a program or policy was implemented. Child height and weight were measured during household data collection. We used multilevel modeling to examine associations of community programs and policies in multiple settings and child and community predictors with BMI z scores of children.ResultsThe mean number of settings in which community policies and programs were implemented was 7.3 per community. Of 130 communities, 31 (23.8%) implemented community programs and policies in multiple settings. Higher-intensity community programs and policies were associated with lower BMI in communities that used multiple settings but not in communities that implemented programs and policies in few settings.ConclusionEfforts to prevent childhood obesity may be more effective when community programs and policies are both intensive and are implemented in multiple settings in which children live, learn, and play.

BackgroundCardiovascular disease is linked to cognitive decline and disorders (e.g., dementia). The evidence is based largely on older non-Latino White cohorts.ObjectiveExamine the association between global vascular risk and cognitive function among Hispanics/Latinos in the United States.MethodsWe used data from a large sample of stroke- and cardiovascular disease-free, middle-aged and older Hispanics/Latinos with diverse backgrounds (n=7,650) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We compared associations between two measures of cardiovascular risk (CVR), the Framingham Cardiovascular Risk Score (FCRS) and the multiethnic Global Vascular Risk Score (GVRS), and cognitive performance using measures of global and domain specific cognitive function, and tested for modification by sex and age.ResultsHigher FCRS and GVRS were associated with lower global cognition and higher probability of low mental status, after covariates adjustment. Both CVR indices were associated with lower performances in learning and memory, verbal fluency, and psychomotor speed. Higher GVRS presented stronger associations with lower cognitive function compared to the FCRS. Women and younger age (45-64 years) exhibited more pronounced associations between higher CVR and worse cognition, particularly so with the GVRS.DiscussionCVR is also a risk for compromised cognitive function and evident in middle-age among Hispanics/Latinos. The multiethnic GVRS, tailored to specific risks based on racial/ethnic background, is feasible to use in primary care settings and can provide important insight on cognitive risk. Even modest shifts in population toward cardiovascular health in the high-risk Hispanic/Latino population can have important positive impacts on healthy cognitive aging.

Participatory mapping is a powerful methodology for working with community residents to examine social and environmental determinants of public health disparities. However, this empowering methodology has only been applied sparingly in public health research and practice, with limited examples in the literature. To address this literature gap, we 1) review participatory mapping approaches that may be applied to exploring place-based factors that affect community health, and 2) present a mixed-methods participatory geographic information systems (PGIS) examination of neighborhood assets (eg, streetlights) and challenges (eg, spaces of crime and violence) related to access to public parks in South Los Angeles, California. By taking a participatory, fine-grained spatial approach to examining public park access with input from 40 South Los Angeles adolescent and adult residents, our community-engaged PGIS approach identified tobacco shops as previously unrecognized community institutions that are associated with increased neighborhood crime and violence. Our investigation revealed unique challenges in community-level public park access that would likely have been overlooked by conventional spatial epidemiology and social science methods, such as surveys and questionnaires. Furthermore, our granular community-informed approach supported resident and stakeholder advocacy efforts toward reducing the proliferation of tobacco shops through community organizing and policy change initiatives. We thus contend that it would benefit public health research and practice to further integrate empowering, grassroots-based participatory mapping approaches toward informing advocacy efforts and policies that promote health and well-being in disadvantaged communities.

RationaleIndividual socioeconomic status has been shown to influence the outcomes of patients with chronic obstructive pulmonary disease (COPD). However, contextual factors may also play a role. The objective of this study is to evaluate the association between neighborhood socioeconomic disadvantage measured by the area deprivation index (ADI) and COPD-related outcomes.MethodsResidential addresses of SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS) subjects with COPD (FEV1/FVC

IntroductionUganda has one of the highest rates of alcohol use in sub-Saharan Africa but prevalence and correlates of drinking are undocumented in the Rakai region, one of the earliest epicenters of the HIV/AIDS epidemic in East Africa.MethodsWe analyzed cross-sectional data from 18,700 persons (8,690 men, 10,010 women) aged 15-49 years, living in agrarian, trading and fishing communities and participating in the Rakai Community Cohort Study (RCCS) between March 2015 and September 2016. Logistic regression models assessed associations between past year alcohol use and sociodemographic characteristics, other drug use and HIV status, controlling for age, religion, education, occupation, marital status, and household socioeconomic status.ResultsPast year alcohol prevalence was 45%. Odds of drinking were significantly higher in men (versus women) and fishing communities (versus agrarian areas). Odds of drinking increased with age, previous (versus current) marriage and past year drug use. By occupation, highest odds of drinking were among fishermen and (in women) bar/restaurant workers. Alcohol-related consequences were more commonly reported by male (vs. females) drinkers, among whom up to 35% reported alcohol dependence symptoms (e.g., unsteady gait). HIV status was strongly associated with alcohol use in unadjusted but not adjusted models.ConclusionsAlcohol use differed by gender, community type and occupation. Being male, living in a fishing community and working as a fisherman or restaurant/bar worker (among women) were associated with higher odds of drinking. Alcohol reduction programs should be implemented in Uganda's fishing communities and among people working in high risk occupations (e.g., fishermen and restaurant/bar workers).

There is a critical need to improve trauma-informed services in structurally marginalized communities impacted by violence and its associated traumatic grief. For community residents, particularly gang-associated youth, repeated exposure to traumatic grief causes serious adverse effects that may include negative health outcomes, delinquency, and future violent offenses. The recent proliferation of digital social media platforms, such as Twitter, provide a novel and largely underutilized resource for responding to these issues, particularly among these difficult-to-reach communities. In this paper, we explore the potential for using a human-machine partnered approach, wherein qualitative fieldwork and domain expertise is combined with a computational linguistic analysis of Twitter content among 18 gang territories/neighborhoods on Chicago's South Side. We first employ in-depth interviews and observations to identify common patterns by which residents in gang territories/neighborhoods express traumatic grief on social media. We leverage these qualitative findings, supplemented by domain expertise and computational techniques, to gather both traumatic grief- and gang-related tweets from Twitter. We next utilize supervised machine learning to construct a binary classification algorithm to eliminate irrelevant tweets that may have been gathered by our automated query and extraction techniques. Last, we confirm the validity, or ground truth, of our computational findings by enlisting additional domain expertise and further qualitative analyses of the specific traumatic events discussed in our sample of Twitter content. Using this approach, we find that social media provides useful signals for identifying moments of increased collective traumatic grief among residents in gang territories/neighborhoods. This is the first study to leverage Twitter to systematically ground the collective online articulations of traumatic grief in traumatic offline events occurring in violence-impacted communities. The results of this study will be useful for developing more effective tools-including trauma-informed intervention applications-for community organizations, violence prevention initiatives, and other public health efforts.