Examination of how neighborhood definition influences measurements of youths' access to tobacco retailers: a methodological note on spatial misclassification

Measuring variation in infant mortality and deaths of despair by US congressional district in Pennsylvania: a methodological case study

Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.

Disadvantaged groups have greater spatial access to pharmacies in New York state

BACKGROUND

The accessibility of pharmacies has been associated with overall health and wellbeing. Past studies have suggested that low income and racial minority communities are underserved by pharmacies. However, the literature is inconsistent in finding links between area-level income or racial and ethnic composition and access to pharmacies. Here we aim to assess area-level spatial access to pharmacies across New York State (NYS), hypothesizing that Census Tracts with higher poverty rates and higher percentages of Black and Hispanic residents would have lower spatial access.

METHODS

The population weighted mean shortest road network distance (PWMSD) to a pharmacy in 2018 was calculated for each Census Tract in NYS. This statistic was calculated from the shortest road network distance to a pharmacy from the centroid of each Census block within a tract, with the mean across census blocks weighted by the population of the census block. Cross-sectional analyses were conducted to assess links between Tract-level socio demographic characteristics and Tract-level PWMSD to a pharmacy.

RESULTS

Overall the mean PWMSD to a pharmacy across Census tracts in NYS was 2.07 Km (SD = 3.35, median 0.85 Km). Shorter PWMSD to a pharmacy were associated with higher Tract-level % poverty, % Black/African American (AA) residents, and % Hispanic/Latino residents and with lower Tract-level % of residents with a college degree. Compared to tracts in the lowest quartile of % Black/AA residents, tracts in the highest quartile had a 70.7% (95% CI 68.3-72.9%) shorter PWMSD to a pharmacy. Similarly, tracts in the highest quartile of % poverty had a 61.3% (95% CI 58.0-64.4%) shorter PWMSD to a pharmacy than tracts in the lowest quartile.

CONCLUSION

The analyses show that tracts in NYS with higher racial and ethnic minority populations and higher poverty rates have higher spatial access to pharmacies.

Use of geofencing interventions in population health research: a scoping review

OBJECTIVES

Technological advancements that use global positioning system (GPS), such as geofencing, provide the opportunity to examine place-based context in population health research. This review aimed to systematically identify, assess and synthesise the existing evidence on geofencing intervention design, acceptability, feasibility and/or impact.

DESIGN

Scoping review, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidance for reporting.

DATA SOURCES

PubMed, CINAHL, EMBASE, Web of Science, Cochrane and PsycINFO for articles in English published up to 31 December 2021.

ELIGIBILITY CRITERIA

Articles were included if geofencing was used as a mechanism for intervention delivery.

EXCLUSION CRITERIA

(1) a component or combination of GPS, geographical information system or ecological momentary assessment was used without delivery of an intervention; (2) did not include a health or health-related outcome from the geofencing intervention; or (3) was not a peer-reviewed study.

DATA EXTRACTION AND SYNTHESIS

Several researchers independently reviewed all abstracts and full-text articles for final inclusion.

RESULTS

A total of 2171 articles were found; after exclusions, nine studies were included in the review. The majority were published in 5 years preceding the search (89%). Geofences in most studies (n=5) were fixed and programmed in the mobile application carried by participants without their input. Mechanisms of geofencing interventions were classified as direct or indirect, with five studies (56%) using direct interventions. There were several different health outcomes (from smoking to problematic alcohol use) across the five studies that used a direct geofencing intervention.

CONCLUSIONS

This scoping review found geofencing to be an emerging technology that is an acceptable and feasible intervention applied to several different populations and health outcomes. Future studies should specify the rationale for the locations that are geofenced and user input. Moreover, attention to mechanisms of actions will enable scientists to understand not only whether geofencing is an appropriate and effective intervention but why it works to achieve the outcomes observed.

How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods

Measuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies' and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies' distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.

Neighborhood level facilitators and barriers to hypertension management: A Native Hawaiian perspective

Native Hawaiians have a disproportionately high prevalence of hypertension, which is an important and modifiable risk factor for cardiovascular disease (CVD). To reduce CVD among Native Hawaiians, we must better understand facilitators and barriers to hypertension management (i.e., diet, physical activity, stress reduction) unique to Native Hawaiians. Despite evidence of neighborhood-level facilitators and barriers to hypertension management in other populations, there is limited research in Native Hawaiians. Participants from a randomized controlled trial (n = 40) were recruited for 5 focus groups. All participants were self-reported Native Hawaiians and had uncontrolled hypertension. Discussions elicited experiences and perceptions of neighborhood-level stressors as they relate to participants' hypertension management efforts. Audio recordings were transcribed and analyzed using ATLAS.ti for emergent themes. Five themes were identified: neighborhood description, community resources, neighborhood change, safety, and social connectedness. Novel barriers to hypertension control included loss of culture and loss of respect for elders, change in community feel, and over-development. Facilitators included social cohesion and collective power. These data provide a deeper understanding of how Native Hawaiians experience neighborhood factors and how those factors impact their efforts to improve their diets, physical activity, and stress management. The findings help to inform the development of multilevel CVD prevention programs. Further research is needed to explore the subtheme of social and emotional stress related to neighborhood change and CVD health risk due to cultural and historic trauma references.

Geographic information science and the United States opioid overdose crisis: A scoping review of methods, scales, and application areas

BACKGROUND

The Opioid Overdose Crisis (OOC) continues to generate morbidity and mortality in the United States, outpacing other prominent accident-related reasons. Multiple disciplines have applied geographic information science (GIScience) to understand geographical patterns in opioid-related health measures. However, there are limited reviews that assess how GIScience has been used.

OBJECTIVES

This scoping review investigates how GIScience has been used to conduct research on the OOC. Specific sub-objectives involve identifying bibliometric trends, the location and scale of studies, the frequency of use of various GIScience methodologies, and what direction future research can take to address existing gaps.

METHODS

The review was pre-registered with the Open Science Framework ((https://osf.io/h3mfx/) and followed the PRISMA-ScR guidelines. Scholarly research was gathered from the Web of Science Core Collection, PubMed, IEEE Xplore, ACM Digital Library. Inclusion criteria was defined as having a publication date between January 1999 and August 2021, using GIScience as a central part of the research, and investigating an opioid-related health measure.

RESULTS

231 studies met the inclusion criteria. Most studies were published from 2017 onward. While many (41.6%) of studies were conducted using nationwide data, the majority (58.4%) occurred at the sub-national level. California, New York, Ohio, and Appalachia were most frequently studied, while the Midwest, north Rocky Mountains, Alaska, and Hawaii lacked studies. The most common GIScience methodology used was descriptive mapping, and county-level data was the most common unit of analysis across methodologies.

CONCLUSIONS

Future research of GIScience on the OOC can address gaps by developing use cases for machine learning, conducting analyses at the sub-county level, and applying GIScience to questions involving illicit fentanyl. Research using GIScience is expected to continue to increase, and multidisciplinary research efforts amongst GIScientists, epidemiologists, and other medical professionals can improve the rigor of research.

The Association Between Tobacco Retailer Outlet Density and Prevalence of Cigarette Smoking in Virginia

OBJECTIVE

We examine the association between tobacco retail outlet density and adult smoking prevalence at the county level in Virginia, controlling for spatial autocorrelations.

AIMS AND METHODS

Pooling data from 2020 County Health Rankings (compiled data from various sources including, but not limited to, the National Center for Health Statistics-Mortality Files, the Behavioral Risk Factor Surveillance System (BRFSS), and the American Community Survey) and Counter Tools, we conducted regression analyses that accounted for spatial autocorrelation (spatial lag models, LMlag) and adjusted for county-level access to healthcare, demographics, SES, environmental factors, risk conditions or behaviors, and population health measures.

RESULTS

Our estimates provide evidence that every increase of one tobacco retail outlet per 1000 persons was associated with 1.16 percentage points (95% CI: 0.80-1.52) higher smoking prevalence at the county level in Virginia after controlling for spatial autocorrelation. The effect of outlet density was largely explained by social determinants of health such as SES, risky conditions or behaviors, and environmental factors. We further noticed that the impact of social determinants of health were closely related and can be explained by indicators of population health (rates of mental distress (β = 1.49, 95% CI: 1.31-1.67) and physical inactivity (β = 0.07, 95% CI: 0.04-0.10).

CONCLUSIONS

Although higher tobacco outlet density was associated with an increase in county-level smoking prevalence, the impact of outlet density was largely explained by social determinants of health and mental illness. Improving well-being at the community level could be a promising strategy in future tobacco control policies.

IMPLICATION

The influence of tobacco outlet density seems to be explained by other social determinants of health and population level of mental or physical health. Thus, efforts to reduce tobacco use and consequent negative health effects should explore the impact of improving regional living standards. However, a sole focus on economic growth may not be sufficient, whereas a focus on such things as promoting work-life balance and improving overall well-being at the community level may be more.

Association of walkability and NO2 with metabolic syndrome: A cohort study in China

BACKGROUND

Epidemiological studies have reported an association between traffic-related pollution with risk of metabolic syndrome (MetS). However, evidence from prospective studies on the association of walkability and nitrogen dioxide (NO₂) with MetS is still scarce. We, therefore, aimed to evaluate the association of long-term exposure to NO₂ and walkability with hazards of incident MetS.

METHODS

A total of 17,965 participants without MetS diagnosed within one year at baseline were included in our study from a population-based prospective cohort in Yinzhou District, Ningbo, Zhejiang Province, China. Participants were followed up by the regional Health Information System (HIS) until December 15, 2021. MetS was defined based on the criteria of Chinese Diabetes Society (CDS2004). We used walkscore tools, calculating with amenity categories and decay functions, and spatial-temporal land-use regression (LUR) models to estimate walkability and NO₂ concentrations. We used Cox proportional hazards regression models to examine the association of walkability and NO₂ with hazards of MetS incidence reporting with hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

Overall, we followed up 77,303 person-years and identified 4040 incident cases of MetS in the entire cohort. Higher walkability was inversely associated with incident MetS (HR = 0.94, 95 % CI: 0.91-0.99), whereas NO₂ was positively associated with MetS incidence (HR = 1.07, 95 %CI: 1.00-1.15) per interquartile range increment in two-exposure models. Furthermore, we found a significant multiplicative interaction between walkability and NO₂. Stronger associations were observed for NO₂ and incident MetS among men, smokers, drinkers and participants who aged < 60 years and had higher levels of income.

CONCLUSION

In summary, we found living in areas with lower walkability and higher concentrations of NO₂ were associated with increased incidence of MetS. The beneficial effect of higher walkability may be attenuated by exposure to NO₂.

Tobacco retail availability and cigarette and e-cigarette use among youth and adults: a scoping review

OBJECTIVE

States and localities are formulating strategies to reduce the widespread retail availability of tobacco products. Evidence of associations between retailer density/proximity and tobacco use outcomes can help inform those strategies. We conducted a scoping review on tobacco retail availability and cigarette/e-cigarette use in adults and youth, and considered variations in spatial units, measures of retailer exposure and outcomes across studies.

METHODS

A systematic search for studies examining the association between retailer density/proximity and youth and adult cigarette/e-cigarette use was conducted across MEDLINE (PubMed), Web of Science and Google Scholar through 27 August 2020 with no restrictions.

RESULTS

Thirty-five studies were included in our qualitative synthesis. While there were differences in neighbourhood definitions (eg, egocentric vs administrative), there is evidence for a positive association between higher retailer density in egocentric neighbourhoods around homes and current smoking in adults and adolescents. Administrative unit measures in some studies showed associations with adult current smoking, and adolescent lifetime and current smoking. Studies on tobacco outlet proximity to homes obtained mixed results. Density/proximity of tobacco outlets around schools showed no or inverse association with adolescent smoking, but suggests higher susceptibility to smoking. Evidence of an association between e-cigarette retail availability and e-cigarette use is limited due to a small number of studies.

CONCLUSION

The current literature provides limited empirical evidence of the association between tobacco retailer availability and smoking or e-cigarette use. More research with uniform measures of environmental exposure to tobacco retailers is needed to allow for greater comparability between studies.

Objective and Subjective Neighborhood Crime Associated with Poor Sleep among Young Sexual Minority Men: a GPS Study

Sleep disparities in sexual minority male (SMM) populations have received relatively little attention but they may be critical to explaining other health disparities seen among SMM, via neural or hormonal pathways. Recent research suggests that crime may be a psychosocial stressor that contributes to sleep disparities but that finding has been based on subjective measures of crime. We conducted the P18 Neighborhood Study of 250 SMM in New York City, including 211 with adequate GPS tracking data. We used the GPS tracking data to define daily path area activity spaces and tested the associations of violent crime in those activity spaces and in the subject's residential neighborhood, perceived neighborhood safety, and witnessing crime with a subjective measure of sleep. Using quasi-Poisson regression, adjusted for individual and neighborhood socio-demographics, we found that SMM who witnessed more types of crime experienced significantly more nights of poor sleep over the course of a month (RR: 1.16, 95%CI: 1.05-1.27, p-value: < 0.01). We did not find any associations between violent crime rates in either the activity area or residential area and sleep. Our findings support the conclusion that personal exposure to crime is associated with sleep problems and provide further evidence for the pathway between stress and sleep. The lack of association between neighborhood crime levels and sleep suggests that there must be personal experience with crime and ambient presence is insufficient to produce an effect.

Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum

BACKGROUND

There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies.

METHODS

Using PRISMA guidelines, peer-reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed.

RESULTS

Twenty-four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly-correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index.

CONCLUSIONS

This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity-related disease processes and improve the identification of vulnerable populations in need of intervention.

Food environment and diabetes mellitus in South Asia: A geospatial analysis of health outcome data

BACKGROUND

The global epidemic of type 2 diabetes mellitus (T2DM) renders its prevention a major public health priority. A key risk factor of diabetes is obesity and poor diets. Food environments have been found to influence people's diets and obesity, positing they may play a role in the prevalence of diabetes. Yet, there is scant evidence on the role they may play in the context of low- and middle-income countries (LMICs). We examined the associations of food environments on T2DM among adults and its heterogeneity by income and sex.

METHODS AND FINDINGS

We linked individual health outcome data of 12,167 individuals from a network of health surveillance sites (the South Asia Biobank) to the density and proximity of food outlets geolocated around their homes from environment mapping survey data collected between 2018 and 2020 in Bangladesh and Sri Lanka. Density was defined as share of food outlets within 300 m from study participant's home, and proximity was defined as having at least 1 outlet within 100 m from home. The outcome variables include fasting blood glucose level, high blood glucose, and self-reported diagnosed diabetes. Control variables included demographics, socioeconomic status (SES), health status, healthcare utilization, and physical activities. Data were analyzed in ArcMap 10.3 and STATA 15.1. A higher share of fast-food restaurants (FFR) was associated with a 9.21 mg/dl blood glucose increase (95% CI: 0.17, 18.24; p < 0.05). Having at least 1 FFR in the proximity was associated with 2.14 mg/dl blood glucose increase (CI: 0.55, 3.72; p < 0.01). A 1% increase in the share of FFR near an individual's home was associated with 8% increase in the probability of being clinically diagnosed as a diabetic (average marginal effects (AMEs): 0.08; CI: 0.02, 0.14; p < 0.05). Having at least 1 FFR near home was associated with 16% (odds ratio [OR]: 1.16; CI: 1.01, 1.33; p < 0.05) and 19% (OR: 1.19; CI: 1.03, 1.38; p < 0.05) increases in the odds of higher blood glucose levels and diagnosed diabetes, respectively. The positive association between FFR density and blood glucose level was stronger among women than men, but the association between FFR proximity and blood glucose level was stronger among men as well as among those with higher incomes. One of the study's key limitations is that we measured exposure to food environments around residency geolocation; however, participants may source their meals elsewhere.

CONCLUSIONS

Our results suggest that the exposure to fast-food outlets may have a detrimental impact on the risk of T2DM, especially among females and higher-income earners. Policies should target changes in the food environments to promote better diets and prevent T2DM.

Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities

INTRODUCTION

In low-middle income countries (LMICs) the role of food environments on obesity has been understudied. We address this gap by 1) examining the effect of food environments on adults' body size (BMI, waist circumference) and obesity; 2) measuring the heterogeneity of such effects by income and sex.

METHODS

This cross-sectional study analysed South Asia Biobank surveillance and environment mapping data for 12,167 adults collected between 2018 and 2020 from 33 surveillance sites in Bangladesh and Sri Lanka. Individual-level data (demographic, socio-economic, and health characteristics) were combined with exposure to healthy and unhealthy food environments measured with geolocations of food outlets (obtained through ground-truth surveys) within 300 m buffer zones around participants' homes. Multivariate regression models were used to assess association of exposure to healthy and unhealthy food environments on waist circumference, BMI, and probability of obesity for the total sample and stratified by sex and income.

FINDINGS

The presence of a higher share of supermarkets in the neighbourhood was associated with a reduction in body size (BMI, β = - 3∙23; p < 0∙0001, and waist circumference, β = -5∙99; p = 0∙0212) and obesity (Average Marginal Effect (AME): -0∙18; p = 0∙0009). High share of fast-food restaurants in the neighbourhood was not significantly associated with body size, but it significantly increased the probability of obesity measured by BMI (AME: 0∙09; p = 0∙0234) and waist circumference (AME: 0∙21; p = 0∙0021). These effects were stronger among females and low-income individuals.

INTERPRETATION

The results suggest the availability of fast-food outlets influences obesity, especially among female and lower-income groups. The availability of supermarkets is associated with reduced body size and obesity, but their effects do not outweigh the role of fast-food outlets. Policies should target food environments to promote better diets and reduce obesity.

Association Between Tobacco Retailer Density and Smoking Among Adults With Diabetes and Serious Mental Illness in New York State

INTRODUCTION

Smoking prevalence is high among adults with comorbid diabetes and serious mental illness. This population is at elevated risk of smoking-related health consequences and premature death. We focused on the community environment and investigated the association between tobacco retailer density and smoking in this population.

METHODS

We obtained individual-level data from the 2017 Patient Characteristics Survey, a medical record-based survey of patients served by the public mental health system in New York State. We computed the density of state-authorized tobacco retailers at the 3-digit zip code level.

RESULTS

The data included 19,492 adults (aged ≥18) with comorbid diabetes and serious mental illness. Of these, 55.6% resided in New York City, 53.1% were female, 38.1% were non-Hispanic White, 30.7% were non-Hispanic Black, 25.2% were Hispanic, and 38.1% were smokers, including electronic cigarette users. The density of tobacco retailers (range, 6.1-16.4 per 10,000 population) was positively associated with smoking (odds ratio = 1.05; 95% CI, 1.03-1.07) after adjusting for sex, race or ethnicity, education, employment, health insurance coverage, obesity, and region (New York City vs outside New York City). We observed no interaction between region and tobacco retailer density.

CONCLUSION

Findings of this study suggest that allocating more smoking cessation resources to zip code areas with a high density of tobacco retailers, especially in rural areas, along with supporting policy change to reduce tobacco retailor density, may mitigate the negative health consequences of smoking among people with comorbid diabetes and serious mental illness.

Effects of Buffer Size and Shape on the Association of Neighborhood SES and Adult Fruit and Vegetable Consumption

Introduction: Neighborhood environment factors are relevant for dietary behaviors, but associations between home neighborhood context and disease prevention behaviors vary depending on the definition of neighborhood. The present study uses a publicly available dataset to examine whether associations between neighborhood socioeconomic status (NSES) and fruit/vegetable (FV) consumption vary when NSES is defined by different neighborhood sizes and shapes.

Methods: We analyzed data from 1,736 adults with data in GeoFLASHE, a geospatial extension of the National Cancer Institute's Family Life, Activity, Sun, Health, and Eating Study (FLASHE). We examined correlations of NSES values across neighborhood buffer shapes (circular or street network) and sizes (ranging from 400 to 1,200 m) and ran weighted simple and multivariable regressions modeling frequency of FV consumption by NSES for each neighborhood definition. Regressions were also stratified by gender.

Results: NSES measures were highly correlated across various neighborhood buffer definitions. In models adjusted for socio-demographics, circular buffers of all sizes and street buffers 750 m and larger were significantly associated with FV consumption frequency for women only.

Conclusion: NSES may be particularly relevant for women's FV consumption, and further research can examine whether these associations are explained by access to food stores, food shopping behavior, and/or psychosocial variables. Although different NSES buffers are highly correlated, researchers should conceptually determine spatial areas a priori.

Geographic Density and Uptake of Pre-exposure Prophylaxis (PrEP) Among Young Gay, Bisexual and Other Sexual Minority Men: A Global Positioning System (GPS) Study

The geographic availability of pre-exposure prophylaxis (PrEP) providers is one important factor that significantly affects PrEP uptake. While most previous studies have employed spatial accessibility in static residential neighborhood definitions or self-reported healthcare accessibility, we examined the associations of the objectively measured geographic density of PrEP services with current PrEP use, using global positioning system (GPS) among sexual minority men (SMM) in New York City. 250 HIV-negative SMM participated in a 2-week GPS monitoring (January 2017–January 2018). Geographic PrEP density was measured as total numbers of PrEP providers in (1) individual activity space defined as daily path area of GPS points, (2) residential street network buffers and (3) census tract and ZIP code of residential locations. Geographic PrEP density within GPS-based activity space was positively associated with current PrEP use (prevalence ratio for 50-m activity space = 1.10, 95% confidence interval: [1.02, 1.18]). PrEP provider counts in residential buffer areas and administrative neighborhoods were not associated with PrEP use. Although it is not generalizable beyond New York City, our finding suggests the importance of daily mobility pattern in HIV prevention and PrEP implementation strategies.

Neighborhood Factors Associated with Racial/Ethnic Disparities in Achieving Sustained HIV Viral Suppression Among Miami-Dade County Ryan White Program Clients

Racial/ethnic minorities are disproportionately affected by poor HIV care outcomes. Studies have also examined the effects of neighborhood-level factor on an individual's health outcomes. Thus, the objective of this study was to assess the effects of neighborhood factors on the association between race/ethnicity and sustained viral suppression (all viral load tests <200 copies/mL per year). Data for 6491 people with HIV in the 2017 Miami-Dade County Ryan White Program and neighborhood-level data by ZIP code tabulated areas from the American Community Survey were utilized. Multi-level logistic regression models were used to assess the role of neighborhood factors on the association between race/ethnicity and sustained viral suppression. Results show that non-Hispanic Blacks had lower odds of sustained viral suppression in low socioeconomic disadvantage [adjusted odds ratio (aOR): 0.39; 95% confidence interval (CI): 0.20-0.74], moderate residential instability (aOR: 0.31; 95% CI: 0.15-0.65), and low and high racial/language homogeneity neighborhoods (aOR: 0.38; 95% CI: 0.16-0.88) and (aOR: 0.38; 95% CI: 0.19-0.75), respectively, when compared to non-Hispanic Whites (NHWs). Haitians also exhibited poor outcomes in neighborhoods characterized by moderate residential instability (aOR: 0.42; 95% CI: 0.18-0.97) and high racial/language homogeneity (aOR: 0.49; 95% CI: 0.26-0.93), when compared to NHWs. In conclusion, disparities in rates of sustained viral suppression were observed for racial/ethnic minorities within various neighborhood-level factors. These findings indicate the importance of addressing neighborhood characteristics to achieve optimal care for minorities.

Geographies of Sexual Assault: A Spatial Analyses to Identify Neighborhoods Affected by Sexual and Gender-Based Violence

Emergency departments are a common access point for survivors of sexual and gender-based violence (SGBV), but very little is known about where survivors live and the neighborhoods they return to. The objectives of this study were to describe the patient population that present for a sexual or partner-based assault and explore the geographic distribution of cases across the Ottawa-Gatineau area. Data for this study were extracted from the Sexual Assault and Partner Abuse Care Program (SAPACP) case registry (January 1 to December 31, 2015) at The Ottawa Hospital. Spatial analyses were conducted using six-digit postal codes converted into Canadian Census Tract units to identify geographic areas with concentrated cases of SGBV. Concentrated areas were defined as Census Tracts with seven or more SGBV cases within a single calendar year. In 2015, there were 406 patients seen at the SAPACP and 348 had valid postal codes and were included in the analyses. More than 90% of patients were female and 152 (43.68%) were below 24 years of age. More than 70% knew their assailant and the most common locations of the assault were at the survivors' home (31.03%), assailants' home (27.01%), or outdoors (10.92%). Eight concentrated areas were identified including three in the downtown entertainment district, three lower income areas, one high-income neighborhood, and one suburb more than 20 km from downtown. The findings from this study describe the typical clinical presentation of sexual and domestic assault survivors and also challenge geographic stereotypes of where survivors live and what areas of the city are most affected by SGBV. Using residential information provides a survivor-centric approach that highlights the widespread nature of SGBV and supports the need for population-based approaches to improve care for survivors.

Social and Economic Differences in Neighborhood Walkability Across 500 U.S. Cities

INTRODUCTION

Neighborhood walkability has been established as a potentially important determinant of various health outcomes that are distributed inequitably by race/ethnicity and sociodemographic status. The objective of this study is to assess the differences in walkability across major urban centers in the U.S.

METHODS

City- and census tract-level differences in walkability were assessed in 2020 using the 2019 Walk Score across 500 large cities in the U.S.

RESULTS

At both geographic levels, high-income and majority White geographic units had the lowest walkability overall. Walkability was lower with increasing tertile of median income among majority White, Latinx, and Asian American and Native Hawaiian and Pacific Islander neighborhoods. However, this association was reversed within majority Black neighborhoods, where tracts in lower-income tertiles had the lowest walkability. Associations varied substantially by region, with the strongest differences observed for cities located in the South.

CONCLUSIONS

Differences in neighborhood walkability across 500 U.S. cities provide evidence that both geographic unit and region meaningfully influence associations between sociodemographic factors and walkability. Structural interventions to the built environment may improve equity in urban environments, particularly in lower-income majority Black neighborhoods.

Tobacco Retail Environment and Smoking: A Systematic Review of Geographic Exposure Measures and Implications for Future Studies

INTRODUCTION

To review the geographic exposure measures used to characterize the tobacco environment in terms of density of tobacco outlets and proximity to tobacco outlets, and its association with smoking-related outcomes.

METHODS

We used PubMed and Google Scholar to find articles published until December 2019. The search was restricted to studies that (1) measured the density of and/or proximity to tobacco outlets and (2) included associations with smoking outcomes. The extraction was coordinated by several observers. We gathered data on the place of exposure, methodological approaches, and smoking outcomes.

RESULTS

Forty articles were eligible out of 3002 screened papers. Different density and proximity measures were described. 47.4% density calculations were based on simple counts (number of outlets within an area). Kernel density estimations and other measures weighted by the size of the area (outlets per square kilometer), population, and road length were identified. 81.3% of the articles which assessed proximity to tobacco outlets used length distances estimated through the street network. Higher density values were mostly associated with higher smoking prevalence (76.2%), greater tobacco use and smoking initiation (64.3%), and lower cessation outcomes (84.6%). Proximity measures were not associated with any smoking outcome except with cessation (62.5%).

CONCLUSION

Associations between the density of tobacco outlets and smoking outcomes were found regardless of the exposure measure applied. Further research is warranted to better understand how proximity to tobacco outlets may influence the smoking outcomes. This systematic review discusses methodological gaps in the literature and provides insights for future studies exploring the tobacco environment.

IMPLICATIONS

Our findings pose some methodological lessons to improve the exposure measures on the tobacco outlet environment. Solving these methodological gaps is crucial to understand the influence of the tobacco environment on the smoking outcomes. Activity spaces should be considered in further analyses because individuals are exposed to tobacco beyond their residence or school neighborhood. Further studies in this research area demand density estimations weighted by the size of the area, population, or road length, or measured using Kernel density estimations. Proximity calculations should be measured through the street network and should consider travel times apart from the length distance.

Density of Fast Food Outlets around Educational Facilities in Riyadh, Saudi Arabia: Geospatial Analysis

BACKGROUND

Childhood obesity remains a public health issue globally. The latest estimate from the World Health Organization showed that over 340 million children and adolescents aged 5-19 were overweight or obese in 2016.

OBJECTIVE

Our study aimed to assess the density of fast food outlets around educational facilities in Riyadh, Saudi Arabia.

METHODS

We employed geospatial and quantitative analyses using data on fast food outlets (from surveys conducted between November 2019 and May 2020) and educational facilities in Riyadh city. Data analyses conducted using ArcMap 10.6 and Stata 15 compared the density within 500 m and 500-1000 m from the facilities.

RESULTS

We found a high density of fast food outlets around educational facilities. Nearly 80% of fast food were within twelve-minute walking or five-minute driving distances from schools, and nearly 70% of all educational facilities had at least one fast food outlet within the buffer. We also found the densities were high within both the areas closer and the areas farther away from educational facilities. In addition, the density was significantly higher around private schools compared to government schools, and the density around girls-only schools and both-gender schools was higher than that around boys-only schools.

CONCLUSION

There is a high density of fast food outlets around educational facilities in Saudi Arabia. Effective policies are needed to help reduce potential exposure to fast food among young people in Saudi Arabia and other countries with similar settings.

Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology

Retail environments, such as healthcare locations, food stores, and recreation facilities, may be relevant to many health behaviors and outcomes. However, minimal guidance on how to collect, process, aggregate, and link these data results in inconsistent or incomplete measurement that can introduce misclassification bias and limit replication of existing research. We describe the following steps to leverage business data for longitudinal neighborhood health research: re-geolocating establishment addresses, preliminary classification using standard industrial codes, systematic checks to refine classifications, incorporation and integration of complementary data sources, documentation of a flexible hierarchical classification system and variable naming conventions, and linking to neighborhoods and participant residences. We show results of this classification from a dataset of locations (over 77 million establishment locations) across the contiguous U.S. from 1990 to 2014. By incorporating complementary data sources, through manual spot checks in Google StreetView and word and name searches, we enhanced a basic classification using only standard industrial codes. Ultimately, providing these enhanced longitudinal data and supplying detailed methods for researchers to replicate our work promotes consistency, replicability, and new opportunities in neighborhood health research.

Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

Neighborhood deprivation plays an important role in childhood health and development, but defining the appropriate neighborhood definition presents theoretical as well as practical challenges. Few studies have compared neighborhood definitions outside of highly urbanized settings. The purpose of the current study was to evaluate how various administrative and ego-centric neighborhood definitions may impact measured exposure to deprivation across the urban-rural continuum. We do so using the Family Life Project, a prospective longitudinal population-based sample of families living in North Carolina and Pennsylvania (USA), which also sets the stage for future investigations of neighborhood impacts on childhood health and development. To measure neighborhood deprivation, a standardized index of socioeconomic deprivation was calculated using data from the 2007-2011 American Community Survey. Families' residential addresses when children were 2 months of age (n=1036) were geocoded and overlaid onto a deprivation index layer created at the census block group level to construct multiple administrative and ego-centric neighborhood definitions. Friedman tests were used to compare distributions of neighborhood deprivation across these neighborhood definitions within urbanized areas, urban clusters, and rural areas. Results indicated differences in urbanized areas (Chisquare= 897.75, P<0.001) and urban clusters (Chi-square=687.83, P<0.001), but not in rural areas (Chi-square=13.52, P=0.332). Findings imply that in urban areas, choice of neighborhood definition impacts measured exposure to neighborhood deprivation. Although exposure to neighborhood deprivation appears to be less sensitive to neighborhood definition in rural areas, researchers should apply theoretical reasoning to choose appropriate definitions of children's neighborhood.

Is Youth Smoking Related to the Density and Proximity of Outdoor Tobacco Advertising Near Schools? Evidence from Indonesia

BACKGROUND

Smoking was among the top contributors to deaths and disability as the prevalence among male adults remains high, and that among male youth increases in Indonesia. While local studies have shown high visibility of outdoor tobacco advertising around schools, the country still has no outdoor tobacco advertising ban.

OBJECTIVE

To examine the association between youth smoking behavior and measures of outdoor tobacco advertising density and proximity in Indonesia.

METHODS

We combined two primary data sources, including outdoor tobacco advertising and smoking behavior among male youth in Semarang city. We randomly selected and interviewed 400 male students at 20 high schools in the city. In addition, we interviewed 492 male adults who lived near the schools for comparison.

RESULTS

We found significant associations between smoking use among youth (but not among adults) and measures of outdoor tobacco advertising density and proximity in Semarang city. Youth at schools with medium and high density of outdoor tobacco advertising were up to 2.16 times more likely to smoke, compared to those with low density. Similarly, youth at senior high schools with proximity to outdoor tobacco advertising were 2.8 times more likely to smoke. Also, young people at poorer-neighborhood schools with a higher density of and proximity to outdoor tobacco advertising were up to 5.16 times more likely to smoke.

CONCLUSIONS

There were significant associations between smoking use among male youth (but not among male adults) and measures of outdoor tobacco advertising density and proximity in Indonesia. This highlights the need to introduce an outdoor tobacco advertising ban effectively, at least near schools.

From Traditional and Socialist Work-Unit Communities to Commercial Housing: The Association between Neighborhood Types and Adult Health in Urban China

The urban structure in China has been transformed profoundly through rounds of economic reforms. Over the past 60 years, various types of neighborhoods have emerged at different stages of economic and social transition. Formed and organized in different ways, these neighborhoods provide distinct economic, social, and physical environments to residents. However, little is known about the link between neighborhood types and the health of residents in urban China. Using longitudinal data from the China Labor-Force Dynamics Survey (2012-2014), we estimate multilevel regression models to predict self-rated health (SRH) while controlling for a lagged measure of SRH. Results show that living in traditional communities in old districts and work-unit compounds for state-owned enterprises is associated with better SRH among older adults (≥50 years old) compared with living in other types of neighborhoods, such as commercial-housing communities and migrant enclaves. Neighborhood types do not matter for the health of younger adults (< 50 years old). Neighborhood water quality and distance to facilities are associated with SRH for older adults but do not account for the relationships between neighborhood types and SRH.

Urban HEART Detroit: the Application of a Health Equity Assessment Tool

The Urban Health Assessment Response Tool (Urban HEART) was developed by the World Health Organization. In 2016, the Urban HEART was adapted and used by the Healthy Environments Partnership, a long-standing community-based participatory research partnership focused on addressing social determinants of health in Detroit, Michigan, to identify health equity gaps in the city. This paper uses the tool to: (1) examine the geographic distributions of key determinants of health in Detroit, across the five Urban HEART specified domains: physical environment and infrastructure, social and human development, economics, governance, and population health, and (2) determine whether these indicators are associated with the population health indicators at the neighborhood level. In addition to the Urban HEART matrix, we developed various tools including graphs and maps to further examine Detroit's health equity gaps. Although not required by Urban HEART, we statistically analyzed the associations between each indicator with the health outcomes. Our results showed that all the domains contained one or more indicators associated with one or more health outcomes, making this an effective tool to study health equity in Detroit. The Urban HEART Detroit project comes at a critical time where the nation is focusing on health equity and understanding underlying determinants of health inequities in urban areas. A tool like Urban HEART can help identify these areas for rapid intervention to prevent unnecessary burden from disease. We recommend the application of the Urban HEART, in active dialog with community groups, organizations, and leaders, to promote health equity.

Where we eat is who we are: a survey of food-related travel patterns to Singapore's hawker centers, food courts and coffee shops

Background

The development of empirically-grounded policies to change the obesogenic nature of urban environment has been impeded by limited, inconclusive evidence of the link between food environments, dietary behaviors, and health-related outcomes, in part due to inconsistent methods of classifying and analyzing food environments. This study explores how individual and built environment characteristics may be associated with how far and long people travel to food venues,that can serve as a starting point for further policy-oriented research to develop a more nuanced, context-specific delineations of ‘food environments’ in an urban Asian context.

Methods

Five hundred twenty nine diners in eight different neighborhoods in Singapore were surveyed about how far and long they travelled to their meal venues, and by what mode. We then examined how respondents’ food-related travel differed by socioeconomic characteristics, as well as objectively-measured built environment characteristics at travel origin and destination, using linear regression models.

Results

Low-income individuals expended more time traveling to meal destinations than high-income individuals, largely because they utilized slower modes like walking rather than driving. Those travelling from areas with high food outlet density travelled shorter distances and times than those from food-sparse areas, while those seeking meals away from their home and work anchor points had lower thresholds for travel. Respondents also travelled longer distances to food-dense locations, compared to food-sparse locations.

Conclusion

Those seeking to improve food environments of poor individuals should consider studying an intervention radius pegged to typical walking distances, or ways to improve their transport options as a starting point. Policy-focused research on food environments should also be sensitive to locational characteristics, such as food outlet densities and land use.

Moderators of Parents' Perceptions of the Neighborhood Environment and Children's Physical Activity, Time Outside, and Screen Time

BACKGROUND

Increased physical inactivity and sedentary behavior among children are a global health concern.

PURPOSE

Examine associations between parents' perceived neighborhood environment and children's physical activity, outside time, and screen time, and whether these associations were moderated by age and socioeconomic position (SEP).

METHODS

Parents (N = 1212) completed a survey during the Recording and EValuating Activity in a Modified Park study. The neighborhood perceptions (social and physical environment), children's age, physical activity, outside time, and screen time were parent-reported. The SEP was derived from the Index of Relative Socio-economic Advantage and Disadvantage. Multiple linear and logistic regressions were performed with age and SEP interactions.

RESULTS

Favorable perceptions of opportunities to be active and exercise were associated with a higher likelihood of meeting physical activity guidelines. Favorable perceptions of neighborhood ease for walking and a larger social network were also associated with more outdoor time. Moderation analyses revealed that favorable perceptions of several physical and social neighborhood environment features were associated with a higher likelihood of meeting physical activity guidelines in the high-SEP group and were negatively associated with preschoolers' weekday screen time.

CONCLUSION

Future neighborhood environment initiatives and interventions aiming to promote active living communities should consider differences in age and SEP.

Tobacco Retail Density and Initiation of Alternative Tobacco Product Use Among Teens

PURPOSE

The 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.

METHODS

Using 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.

RESULTS

The 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.

CONCLUSIONS

Tobacco 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.

Neighborhood racial, ethnic, and income disparities in accessibility to multiple tobacco retailers: Mecklenburg County, North Carolina, 2015

•Existing studies assess an individual's proximity to a single tobacco retailer.•Measuring proximity to more than one retailer may better capture accessibility.•Disparities in multi-retailer proximity exist by neighborhood race and income.•Policies to address disparities in tobacco retailer exposure are needed.

Neighbourhood drivability: environmental and individual characteristics associated with car use across Europe

BACKGROUND

Car driving is a form of passive transportation associated with higher sedentary behaviour, which is associated with morbidity. The decision to drive a car is likely to be influenced by the 'drivability' of the built environment, but there is lack of scientific evidence regarding the relative contribution of environmental characteristics of car driving in Europe, compared to individual characteristics. This study aimed to determine which neighbourhood- and individual-level characteristics were associated with car driving in adults of five urban areas across Europe. Second, the study aimed to determine the percentage of variance in car driving explained by individual- and neighbourhood-level characteristics.

METHODS

Neighbourhood environment characteristics potentially related to car use were identified from the literature. These characteristics were subsequently assessed using a Google Street View audit and available GIS databases, in 59 administrative residential neighbourhoods in five European urban areas. Car driving (min/week) and individual level characteristics were self-reported by study participants (analytic sample n = 4258). We used linear multilevel regression analyses to assess cross-sectional associations of individual and neighbourhood-level characteristics with weekly minutes of car driving, and assessed explained variance at each level and for the total model.

RESULTS

Higher residential density (β:-2.61, 95%CI: - 4.99; -0.22) and higher land-use mix (β:-3.73, 95%CI: - 5.61; -1.86) were significantly associated with fewer weekly minutes of car driving. At the individual level, higher age (β: 1.47, 95%CI: 0.60; 2.33), male sex (β: 43.2, 95%CI:24.7; 61.7), being employed (β:80.1, 95%CI: 53.6; 106.5) and ≥ 3 person household composition (β: 47.4, 95%CI: 20.6; 74.2) were associated with higher weekly minutes of car driving. Individual and neighbourhood characteristics contributed about equally to explained variance in minutes of weekly car driving, with 2 and 3% respectively, but total explained variance remained low.

CONCLUSIONS

Residential density and land-use mix were neighbourhood characteristics consistently associated with minutes of weekly car driving, besides age, sex, employment and household composition. Although total explained variance was low, both individual- and neighbourhood-level characteristics were similarly important in their associations with car use in five European urban areas. This study suggests that more, higher quality, and longitudinal data are needed to increase our understanding of car use and its effects on determinants of health.

Associations Between Neighborhood Problems and Sexual Behaviors Among Black Men Who Have Sex with Men in the Deep South: The MARI Study

There is a disproportionately high HIV incidence among Black men who have sex with men (MSM) despite equal or lower levels of HIV risk behaviors compared to White MSM. Due to high levels of racial segregation in the U.S., Black MSM have an elevated likelihood of living in neighborhoods that contain psychosocial stressors, which, in turn, may increase behaviors promoting HIV infection. We examined associations between perceived neighborhood problems and sexual behaviors among Black MSM in the Deep South, a population at highest risk of HIV. Data came from the MARI Study, which included Black MSM ages 18-66 years recruited from the Jackson, MS, and Atlanta, GA, metropolitan areas (n = 377). Participants completed questions about neighborhood problems (e.g., excessive noise, heavy traffic/speeding cars and trash/litter) and sexual behaviors (e.g., condomless sex and drug use before or during sex). We used Poisson's regression model with robust standard errors to estimate the adjusted prevalence ratio (aPR; 95% confidence intervals [CI]) of neighborhood problems (coded as tertiles [tertile 1 = low neighborhood problems, tertile 2 = medium neighborhood problems, tertile 3 = high neighborhood problems] as well as continuously) with sexual behaviors, after adjustment for sociodemographic characteristics and other variables. About one-fourth of the sample reported at least one neighborhood problem, with the most common (31.6%) being no/poorly maintained sidewalks, which indicates an infrastructural problem. In multivariable models, compared to those in the lowest tertile, those reporting more neighborhood problems (tertile 2: aPR = 1.49, 95% CI = 1.04, 2.14 and tertile 3: aPR = 1.53, 95% CI = 1.05, 2.24) reported more drug use before or during sex (p for trend = .027). Neighborhood problems may promote behaviors (e.g., drug use before or during sex) conducive to HIV infection. Structural interventions could improve community infrastructure to reduce neighborhood problems (e.g., no/poorly maintained sidewalks and litter). These interventions may help to reduce HIV incidence among Black MSM in the Deep South.

PhenX: Vector measures for tobacco regulatory research

The PhenX (Phenotypes and eXposures) Toolkit provides researchers with recommended standard consensus measures for use in epidemiological, biomedical, clinical and translational studies. To expand the depth and breadth of measures in the PhenX Toolkit, the National Institutes of Health and U.S. Food and Drug Administration have launched a project to identify 'Core' and 'Specialty' collections of measures recommended for human subjects studies in tobacco regulatory research (TRR). The current paper addresses the PhenX Toolkit TRR Vector specialty area and describes the 6-month process to identify high-priority, low-burden, scientifically supported consensus measures. Self-reported, interviewer-administered and observational measurements were considered, and input from the research community assisted in justifying the inclusion of 13 tobacco industry-relevant measures (mainly interviewer-administered or self-reported measures) in the PhenX Toolkit. Compared with measures of addiction or the use of tobacco products, assessments of many Vector factors are much newer and at an earlier stage of development. More work is needed to refine and validate measures of the spatial distribution of tobacco retailers, retail environment, price promotions and corporate social responsibility.

Association of Food Access, Recreational Opportunities, and Natural Amenities with Engagement in the Veterans MOVE! Weight Management Program

OBJECTIVE

The aim of this study was to examine the association of county-level food access, recreational opportunities, and natural amenities with participant engagement in a weight management program.

METHODS

In this cohort study, participants in the Veterans Health Administration MOVE! weight management program between October 1, 2007, and September 30, 2013, were observed for 12 months after enrollment. Engagement was measured as the number of program visits per year at 12 months. Cross-sectional analysis and spatial regression were used to examine county characteristics associated with greater participant engagement at 12 months.

RESULTS

A total of 321,624 participants in 2,708 counties were included. Greater engagement was associated with older age, female sex, white race, being married, and being retired. After accounting for similarities between nearby communities, engagement at 12 months was 3.1 visits higher for each additional farmers' market per 1,000 population (P = 0.01). Engagement was highest for participants living in counties with the most natural amenities (P < 0.001). Recreational opportunities had only a small effect on engagement in the program (β = 0.02 visits at 12 months; P = 0.002).

CONCLUSIONS

Consideration of a participant's county characteristics in addition to other known demographics and program factors may help to explain variation in engagement in weight management programs.

Using global positioning system methods to explore mobility patterns and exposure to high HIV prevalence neighbourhoods among transgender women in New York

The aim of this study was to assess mobility patterns among a sample of transgender women (n=14) in New York City via survey and Global Positioning System (GPS) monitoring. We found varying levels of concordance between the residential neighbourhood and each of the non-residential contexts: 64.3% considered the neighbourhood that they socialised in most often to be different from their residential neighbourhood. While participants' residences represented 10 zone improvement plan code tabulation areas (ZCTAs), GPS data were recorded in 124 of 263 ZCTAs (47.1%). Overall, 58.2% (n=373,262) were recorded in ZCTAs in the highest quartile of human immunodeficiency virus (HIV) prevalence. The association between place, community HIV prevalence, mobility, and factors that increase the vulnerability of transgender women to HIV infection are worthy of future investigation in reducing the burden of the HIV epidemic in these communities.

Child Antisocial Behavior Is more Environmental in Origin in Disadvantaged Neighborhoods: Evidence Across Residents' Perceptions and Geographic Scales in Two Samples

Prior research has suggested that disadvantaged neighborhood contexts alter the etiology of youth antisocial behavior (ASB). Unfortunately, these studies have relied exclusively on governmental data collected in administratively-defined neighborhoods (e.g., Census tracts or block groups, zip codes), a less than optimal approach for studying neighborhood effects. It would thus be important to extend prior findings of GxE using neighborhood sampling techniques, in which disadvantage is assessed via resident informant-reports of the neighborhood. The current study sought to do just this, examining two independent twin samples from the Michigan State University Twin Registry. Neighborhood disadvantage was assessed via maternal and neighbor informant-reports, the latter of which were analyzed multiple ways (i.e., all neighbors within 1 km, nearest neighbor, and all neighbors within the County). Analyses revealed clear and consistent evidence of moderation by neighborhood disadvantage, regardless of informant or the specific operationalization of neighborhood. Shared environmental influences on ASB were observed to be several-fold larger in disadvantaged contexts, while genetic influences were proportionally more influential in advantaged neighborhoods. Such findings indicate that neighborhood disadvantage exerts rather profound effects on the origins of youth ASB. Efforts should now be made to identify the active ingredients of neighborhood disadvantage.

Location of Pre-exposure Prophylaxis Services Across New York City Neighborhoods: Do Neighborhood Socio-demographic Characteristics and HIV Incidence Matter?

Despite an increasing pre-exposure prophylaxis (PrEP) use among populations at highest risk of HIV acquisition, comprehensive and easy access to PrEP is limited among racial/ethnic minorities and low-income populations. The present study analyzed the geographic distribution of PrEP providers and the relationship between their location, neighborhood characteristics, and HIV incidence using spatial analytic methods. PrEP provider density, socio-demographics, healthcare availability, and HIV incidence data were collected by ZIP-code tabulation area in New York City (NYC). Neighborhood socio-demographic measures of race/ethnicity, income, insurance coverage, or same-sex couple household, were not associated with PrEP provider density, after adjusting for spatial autocorrelation, and PrEP providers were located in high HIV incidence neighborhoods (P < 0.01). These findings validate the need for ongoing policy interventions (e.g. public health detailing) vis-à-vis PrEP provider locations in NYC and inform the design of future PrEP implementation strategies, such as public health campaigns and navigation assistance for low-cost insurance.

Assessing the spatial scale of context effects: The example of neighbourhoods' educational composition and its relevance for individual aspirations

The neighbourhood environment has repeatedly proven to be a relevant context for central aspects of individuals' lives, such as educational attainment. The conventional approach of measuring neighbourhood characteristics within disjunct geographical units fixed at a particular scale is less suitable for representing the characteristics of individual action spaces in everyday activities and for detecting scale-dependent relationships. We, therefore, adapted an ego-centred context approach by aggregating contextual characteristics within (approximately) circular areas around individual respondents' places of residence (ego-hoods). We also used an analytical framework that considers the quality of hierarchical context effects. This allowed us to derive conclusions about the spatial reference of micro-level mechanisms from the scale of context effects observed as a macro-micro relationship. We linked contextual indicators to individual-level data from the German Socio-Economic Panel. Comparing ego-hoods of different ranges, we confirmed the expectation of distance decay in the relevance of neighbours for individual educational aspirations.

Evaluating the impact and equity of a tobacco-free pharmacy law on retailer density in New York City neighbourhoods

BACKGROUND

In 2018, New York City (NYC) implemented a tobacco-free pharmacy law as part of a comprehensive policy approach to curb tobacco use. This study models the reduction in tobacco retailer density following the ban to examine differences in the policy's impact across neighbourhoods.

METHODS

Tobacco retailer density per 1000 residents was calculated in July 2017 for each of NYC's Neighborhood Tabulation Areas (NTAs, n=188) before and after removing pharmacies as licensed tobacco retailers. Pearson correlations and linear regression (with predictors scaled to 10 unit increments) measured associations between the projected change in retailer density after the ban and NTA demographic characteristics.

RESULTS

On average, retailer density decreased by 6.8% across neighbourhoods (SD: 6.3), with 17 NTAs experiencing reductions over 15%. Density reduction was greater in NTAs with higher median household income (r: 0.41, B: 1.00, p<0.0001) and a higher proportion of non-Hispanic white residents (r: 0.35, B: 0.79, p<0.0001). NTAs with a higher percentage of adults with less than a high school education (r: -0.44, B: -2.60, p<0.0001) and a higher proportion of Hispanic residents (r: -0.36, B: -1.07, p<0.0001) benefited less from the policy. These relationships held after assessing absolute changes in density (vs per cent change).

CONCLUSIONS

NYC's tobacco-free pharmacy law substantially reduces tobacco retailer density overall, but the impact is not equal across neighbourhoods. In order to minimise disparities in the tobacco retail environment, local governments considering a similar ban should supplement this strategy with other retailer restrictions to achieve equitable outcomes.

Neighborhood features and depression in Mexican older adults: A longitudinal analysis based on the study on global AGEing and adult health (SAGE), waves 1 and 2 (2009-2014)

A growing body of literature shows that neighborhood characteristics influence older adults' mental health. Therefore, the aim of this study was to examine the association between structural and social characteristics of the neighborhood, and depression in Mexican older adults. A longitudinal study was conducted based on waves 1 (2009-2010) and 2 (2014) of the Mexican sample from the Study on global AGEing and adult health (SAGE). A street-network buffer around each participant's household was used to define neighborhood, so that built environment and social characteristics were assessed within it. Depression was ascertained by using an algorithm based on the Composite International Diagnostic Interview. In the analysis, multilevel logistic regression models were constructed separately for each built and social environments measurement, adjusted for socioeconomic, demographic and health-related covariates, and stratified by area of residence (urban versus rural). The results showed that a length of space between 15-45 meters restricted to vehicles was significantly associated with a lower risk of depression in older adults from the urban area (OR: 0.44; IC 95% 0.23-0.83) and the protective association appeared to be larger with increasing space with this restriction, although it lacked significance. Contrarily, the built environment measures were not predictive of depression in the rural setting. On the other hand, none of the variables from the social environment had a significant association, although safety appeared to behave as a risk factor in the overall (OR: 1.48; CI 95% 0.96-2.30; p = 0.08) and rural (OR: 3.44; CI 95% 0.95-12.45; p = 0.06) samples, as it reached marginal significance. Research about neighborhood effects on older adults' mental health is an emergent field that has shown that depression might be treated not only from the individual-level, but also from the neighborhood-level. Additionally, further research is needed, especially in low- and middle-income countries, to help guide neighborhood policies.

The Social Context of HIV Prevention and Care among Black Men Who Have Sex with Men in Three U.S. Cities: The Neighborhoods and Networks (N2) Cohort Study

Background: In many parts of the world, stark racial disparities in human immunodeficiency virus (HIV) prevalence, incidence, prevention, and care outcomes persist among gay, bisexual, and other men who have sex with men (MSM), with Black MSM significantly impacted in the United States (U.S.). Individual-level characteristics, including sexual behaviors and socioeconomic status, do not fully account for racial/ethnic disparities in HIV among MSM. We hypothesize that neighborhood contexts and network characteristics influence risk for HIV infection as well as HIV-related prevention and care behaviors. As such, the study design includes the use of real-time geospatial methods and in-depth assessments of multiple network typologies to investigate the impact of neighborhood and network-level factors on HIV prevention and treatment among Black MSM residing in longstanding priority HIV elimination areas in the U.S., namely Chicago, Illinois and in the Deep South (Jackson, Mississippi and New Orleans, Louisiana) (n = 450, n = 50, and n = 100, respectively). We describe the design, sampling methods, data collection, data management methods, and preliminary findings of the ongoing 'Neighborhoods and Networks (N2) Cohort Study'. Methods/Design: N2 employs a prospective longitudinal design. The sample includes Black MSM participants in Chicago recruited via respondent-driven sampling and assessed every six months over two years of follow-up. Participants enrolled in Jackson and New Orleans are being recruited through existing health and community services and assessed every six months over one year of follow-up. Mobility within and between neighborhoods is being assessed using global positioning system (GPS) technology. Social and sexual networks among Black MSM are being studied through egocentric network inventories as well as newer methods of creating meso-level networks that involve social media (Facebook) and mobile phone contacts. Key HIV prevention outcomes such as pre-exposure prophylaxis (PrEP) care engagement, and HIV/STI (sexually transmitted infections) biomarkers will be examined at baseline and follow-up. Results: As of 31 December 2018, a total of 361 men were enrolled across all study sites: 259 in Chicago and 102 in the Deep South (75 in New Orleans and 27 in Jackson). At baseline, participants ranged in age from 17 to 65 years old (mean = 34.3, standard deviation = 5.1) with 123 men (34.1%) self-reported as HIV positive. While HIV treatment levels were similar between sites, men in the Deep South reported higher rates of adherence than men in Chicago (63.3% versus 49.4%, p = 0.03). Sexual risk profiles were mainly the same between men from different study sites, with 22.9% of men in Chicago and 28.9% in the Deep South reporting consistent condom use during vaginal and anal sex (p = 0.26). Regarding their home neighborhoods, men in the Deep South were more likely than those in Chicago to characterize theirs as having a good reputation (43.1% versus 24.7%, p < 0.001) and as being safe (37.3% versus 21.2%, p = 0.002). Conclusions: The focus on Black MSM in the N2 Study will allow for a nuanced exploration of the attitudes, beliefs, behaviors, and practices of a diverse group of Black MSM. The study is also positioned to provide novel insight about neighborhood and network characteristics that influence HIV-related behaviors. A health equity framework ensures that Black MSM are not explicitly or implicitly deemed as deviant, disordered, or the non-reference group. Findings from N2 will provide guidance for the implementation of more impactful HIV prevention interventions that engage a diverse population of Black MSM as we work toward HIV elimination in the U.S.

Individual Mobility and Uncertain Geographic Context: Real-time Versus Neighborhood Approximated Exposure to Retail Tobacco Outlets Across the US

There is growing interest in the way exposure to neighborhood risk and protective factors affects the health of residents. Although multiple approaches have been reported, empirical methods for contrasting the spatial uncertainty of exposure estimates are not well established. The objective of this paper was to contrast real-time versus neighborhood approximated exposure to the landscape of tobacco outlets across the contiguous US. A nationwide density surface of tobacco retail outlet locations was generated using kernel density estimation (KDE). This surface was linked to participants' (N p  = 363) inferred residential location, as well as to their real-time geographic locations, recorded every 10 min over 180 days. Real-time exposure was estimated as the hourly product of radius of gyration and average tobacco outlet density (N hour = 304, 164 h). Ordinal logit modeling was used to assess the distribution of real-time exposure estimates as a function of each participant's residential exposure. Overall, 61.3% of real-time, hourly exposures were of relatively low intensity, and after controlling for temporal and seasonal variation, 72.8% of the variance among these low-level exposures was accounted for by residence in one of the two lowest residential exposure quintiles. Most moderate to high intensity exposures (38.7% of all real-time, hourly exposures) were no more likely to have been contributed by subjects from any single residential exposure cluster than another. Altogether, 55.2% of the variance in real-time exposures was not explained by participants' residential exposure cluster. Calculating hourly exposure estimates made it possible to directly contrast real-time observations with static residential exposure estimates. Results document the substantial degree that real-time exposures can be misclassified by residential approximations, especially in residential areas characterized by moderate to high retail density levels.

Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual's mobility.

Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes

Social media offers a unique window into attitudes like racism and homophobia, exposure to which are important, hard to measure and understudied social determinants of health. However, individual geo-located observations from social media are noisy and geographically inconsistent. Existing areas by which exposures are measured, like Zip codes, average over irrelevant administratively-defined boundaries. Hence, in order to enable studies of online social environmental measures like attitudes on social media and their possible relationship to health outcomes, first there is a need for a method to define the collective, underlying degree of social media attitudes by region. To address this, we create the Socio-spatial-Self organizing map, "SS-SOM" pipeline to best identify regions by their latent social attitude from Twitter posts. SS-SOMs use neural embedding for text-classification, and augment traditional SOMs to generate a controlled number of nonoverlapping, topologically-constrained and topically-similar clusters. We find that not only are SS-SOMs robust to missing data, the exposure of a cohort of men who are susceptible to multiple racism and homophobia-linked health outcomes, changes by up to 42% using SS-SOM measures as compared to using Zip code-based measures.

Childhood neighborhood context and adult substance use problems: the role of socio-economic status at the age of 30 years

OBJECTIVES

To examine whether the (a) childhood neighborhood context predicts alcohol use disorder, nicotine dependence, and cannabis use disorder symptoms at the age of 39 years; and (b) socio-economic status during young adulthood mediates these relationships. Gender differences were also examined.

STUDY DESIGN

The Seattle Social Development Project is a prospective longitudinal study of 808 individuals followed up from ages 10 to 39 years in Seattle, Washington, United States. The sample was gender balanced (51% were men).

METHODS

Alcohol, nicotine, and cannabis use disorder symptoms were assessed using the Diagnostic and Statistical Manual of Mental Disorders IV-based Diagnostic Interview Schedule. Childhood neighborhood data consisted of 10 neighborhood-level variables from the 1990 national census, which were consolidated using principal component analyses. Two components with eigenvalues greater than 1 were extracted-neighborhood disadvantage and neighborhood stability. Educational attainment and employment status represented socio-economic status during young adulthood. Covariates included baseline symptoms of psychopathology, baseline substance use, gender, ethnicity, and childhood socio-economic status at the family level. Negative binomial regression was used as the primary modeling strategy. Six models for each outcome measure were estimated. The first three models examined associations between two neighborhood components and each substance use outcome measure. Next, we tested the second research question by adding unemployment and college graduate indicators at the age of 30 years as potential mediators underlying the link between the childhood neighborhood context and three substance use measures.

RESULTS

Study findings revealed that childhood neighborhood stability significantly reduced alcohol and cannabis use disorder symptoms nearly 3 decades later. Path analyses suggested that socio-economic status during the transition to adulthood did not influence these relationships but rather had independent effects on problematic nicotine and cannabis use. Furthermore, the effects of childhood neighborhood factors on problematic nicotine use were stronger for men.

CONCLUSIONS

Neighborhood characteristics during childhood may be important factors for alcohol and cannabis use disorder symptoms among adults and nicotine dependence disorder symptoms among men. Prevention efforts that address community stability and disadvantage can and should start in childhood, with a focus on intervention targets that might gain salience later in life to discourage the development and persistence of problematic substance use in adulthood.

Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City

Little is known about how neighborhood noise influences cardiovascular disease (CVD) risk among low-income populations. The aim of this study was to investigate associations between neighborhood noise complaints and body mass index (BMI) and blood pressure (BP) among low-income housing residents in New York City (NYC), including the use of global positioning system (GPS) data. Data came from the NYC Low-Income Housing, Neighborhoods and Health Study in 2014, including objectively measured BMI and BP data (N = 102, Black = 69%), and 1 week of GPS data. Noise reports from "NYC 311" were used to create a noise complaints density (unit: 1000 reports/km²) around participants' home and GPS-defined activity space neighborhoods. In fully-adjusted models, we examined associations of noise complaints density with BMI (kg/m²), and systolic and diastolic BP (mmHg), controlling for individual- and neighborhood-level socio-demographics. We found inverse relationships between home noise density and BMI (B = -2.7 [kg/m²], p = 0.009), and systolic BP (B = -5.3 mmHg, p = 0.008) in the fully-adjusted models, and diastolic BP (B = -3.9 mmHg, p = 0.013) in age-adjusted models. Using GPS-defined activity space neighborhoods, we observed inverse associations between noise density and systolic BP (B = -10.3 mmHg, p = 0.019) in fully-adjusted models and diastolic BP (B = -7.5 mmHg, p = 0.016) in age-adjusted model, but not with BMI. The inverse associations between neighborhood noise and CVD risk factors were unexpected. Further investigation is needed to determine if these results are affected by unobserved confounding (e.g., variations in walkability). Examining how noise could be related to CVD risk could inform effective neighborhood intervention programs for CVD risk reduction.