Census Tracts Research Articles

Energy burden and mental health: A national study in the United States

The prevalence of mental health issues in the US has significantly risen over the past decade, and it is presumably linked to an energy burden issue that has recently gained attention as a critical social determinant of mental health. Utilizing extensive nationwide datasets at the census tract, we found that the census tract level energy burden is positively associated with two key mental health indicators even after accounting for living, housing, and sociodemographic characteristics: the prevalence of frequent mental distress and physician-diagnosed depression, across all US urban areas. We also observe that these associations are consistent across various climate regions. The findings highlight that energy burden has a detrimental impact on mental health, and that it should be e considered a significant social determinant of health in future studies. Lastly, our study advocates for national policies to achieve energy justice and address disparities in mental health.

Association between outdoor artificial light at night and low birth weight in California.

Artificial light at night (ALAN) is a growing environmental issue associated with adverse health consequences, but the association with low birth weight remains unknown. We aim to explore associations between outdoor ALAN and low birth weight across 7,808 census tracts in California. We use data from the California Communities Environmental Health Screening Tool (CalEnviroScreen) at the census tract level. VIIRS Nighttime Day/Night Band Composites Version 1 dataset within the Google Earth Engine platform was used to assess outdoor ALAN. Multivariable linear regression was used to analyze the data. Our findings showed that an interquartile range increase in outdoor ALAN resulted in an increase of 0.42% (95% CI: 0.37, 0.46) in low birth weight rate on average, after adjusting for all potential covariates. The results demonstrate a significant association between outdoor ALAN and low birth weight. These associations remained consistent in sensitivity analyses.

Racial and Ethnic Disparities in HIV Diagnosis Rates by Social Determinants of Health at the Census Tract Level among Adults in the United States and Puerto Rico, 2021.

To compare racial and ethnic disparities in HIV diagnosis rates among adults in census tracts with most disadvantaged vs advantaged levels of social determinants of health (SDOH). In this ecological analysis, we used the National HIV Surveillance System data in 2021 and SDOH data from 2017-2021 American Community Survey. We measured racial and ethnic disparities stratified by sex in the most disadvantaged quartiles and advantaged quartiles for: 1) Poverty 2) Education level 3) Median household income and 4) Insurance coverage. We calculated 8 relative disparity measures (Black-to-White rate ratio [RR], Hispanic/Latino-to-White RR, Index of Disparity [ID], population-weighted ID, Mean Log Deviation, Theil Index, Population Attributable Proportion, Gini coefficient) and 4 absolute disparity measures (Black-to-White rate difference [RD], Hispanic/Latino-to-White RD, absolute ID, and population-weighted absolute ID). Comparing the most disadvantaged quartiles to the most advantaged quartiles, all four absolute disparity measures decreased, but 7 of the 8 relative disparity measures increased: the median percentage decrease in the absolute measures for males and females respectively was 38.1% and 47.6% for poverty, 12.4% and 42.6% for education level, 43.6% and 44.0% for median household income, and 44.2% and 45.4% for insurance coverage. The median percentage increases for the relative measures for males and females respectively were 44.3% and 61.3% for poverty, 54.9% and 95.3% for education level, 19.6% and 90.0% for median household income, and 32.8% and 46.4% for insurance coverage. Racial and ethnic disparities in the most disadvantaged and advantaged quartiles highlight the need for strategies addressing the root causes of disparities.

Racial Residential Segregation and Mental Health During Pregnancy

Research suggests the social, physical, and socioeconomic contexts of residing in segregated neighborhoods may negatively affect mental health. To assess the association between racial residential segregation and prenatal mental health among Asian, Black, Hispanic, and White individuals. This population-based cross-sectional study was conducted in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system. Participants included self-identified Asian, Black, Hispanic, and White pregnant individuals who attended at least 1 prenatal care visit at KPNC between January 1, 2014, and December 31, 2019. Data were analyzed from January 14, 2023, to August 15, 2024. Racial residential segregation, defined by the local Getis-Ord Gi* statistic, was calculated in each racial and ethnic group and categorized as low (<0), medium (0-1.96), or high (>1.96). A positive Gi* statistic indicates overrepresentation (greater clustering or segregation) of the racial and ethnic group in an index census tract and neighboring tracts compared with the larger surrounding geographic area. Prenatal depression and anxiety defined by diagnoses codes documented in the electronic health record between the first day of the last menstrual period and the day prior to birth. Among the 201 115 participants included in the analysis (mean [SD] age, 30.8 [5.3] years; 26.8% Asian, 6.6% Black, 28.0% Hispanic, and 38.6% White), prenatal depression and anxiety were highest in Black individuals (18.3% and 18.4%, respectively), followed by White (16.0% and 18.2%, respectively), Hispanic (13.0% and 14.4%, respectively), and Asian (5.7% and 6.4%, respectively) individuals. Asian (40.8% vs 31.1%) and Black (43.3% vs 22.6%) individuals were more likely to live in neighborhoods with high vs low segregation, while Hispanic individuals were equally likely (34.3% vs 34.7%). High compared with low segregation was associated with greater odds of prenatal depression (adjusted odds ratio [AOR], 1.25 [95% CI, 1.10-1.42]) and anxiety (AOR, 1.14 [95% CI, 1.00-1.29]) among Black individuals. High segregation was associated with lower odds of prenatal depression among Asian (AOR, 0.75 [95% CI, 0.69-0.82]), Hispanic (AOR, 0.88 [95% CI, 0.82-0.94]), and White (AOR, 0.91 [95% CI, 0.86-0.96]) individuals. Similar associations were found for anxiety among Asian (AOR, 0.80 [95% CI, 0.73-0.87]) and Hispanic (AOR, 0.88 [95% CI, 0.82-0.93]) but not White (AOR, 0.95 [95% CI, 0.90-1.00]) individuals. In this cross-sectional study, racial and ethnic residential segregation was associated with worse prenatal mental health for Black individuals but better mental health for Asian, Hispanic, and White individuals. Policies reducing segregation and its impact may improve mental health outcomes in pregnant Black individuals.

Navigating stroke care: Geospatial assessment of regional stroke center accessibility: Geospatial Assessment of Stroke Centers

IntroductionReducing time between stroke onset and hospital intervention is crucial for positive outcomes in stroke patients. While EMS utilization decreases time to intervention, many US regions are not within timely proximity to an advanced-care-capable stroke center (ASC), defined as a comprehensive or thrombectomy-capable center. This study aims to utilize geographic methodology to identify regions in Wisconsin with both high stroke mortality and low physical accessibility to certified stroke centers (SCs), particularly ASCs. MethodsGeocoded mortality records for stroke death between 2015 and 2020 were accessed from the Wisconsin Department of Health Services. Indirectly age-standardized mortality ratios (SMRs) were estimated continuously across Wisconsin using adaptive spatial filtering and mortality records at the census block group level; the surface was then averaged by census tract for tract level SMRs. Addresses for SC locations within Wisconsin and bordering states were collected, and drive times from Wisconsin census tract centroids to the nearest SC subtypes were estimated. Drive times and mortality ratios were evaluated at the tract level alongside Rural-Urban Commuting Area (RUCA) codes. Spatial error regression modeling was used to determine RUCA classifications with the highest stroke risk independent of accessibility to stroke centers. ResultsApproximately 50%, 68%, and 78% of Wisconsin residents resided within 30, 45, and 60 minutes of an ASC, respectively. Median drive time from census tract centroids to the nearest ASC were highest for rural tracts (M=90 minutes, IQR=68-115) compared to small-town (M=82 minutes, IQR=49-113), micropolitan (M=53 minutes, IQR=43-77), and metropolitan tracts (M=19 minutes, IQR=11-35; p<0.001). Clusters of high stroke SMRs were found in urban centers as well as rural areas irrespective of county declinations. Spatial regression modeling suggested small-town census tracts had the highest SMR irrespective of physical accessibility to care and spatial correlation. In small-town census tracts >45 minutes from the nearest ASC, the median stroke SMR was 1.12 (IQR=0.94-1.40) with 226,000 residents and 150 stroke deaths per year. ConclusionSmall-town areas are associated with both long drive distance to ASC locations and high stroke mortality. Geographical analyses reveal apparent stroke care deserts and may inform strategic allocation of emergency medicine resources and coverage.

Evolution of food deserts and food swamps in a Brazilian metropolis between 2008 and 2020.

The aim of the current ecological study is to assess the evolution of food deserts and food swamps in the metropolitan city of Belo Horizonte between 2008 and 2020. Food deserts were determined based on the density of healthy establishments per 10,000 inhabitants, whereas food swamps were set based on the density of ultra-processed food procurement establishments per 10,000 inhabitants. The rate of census tracts classified as food deserts has decreased between 2008 and 2020, whereas that of census tracts classified as food swamps has increased within this same period. Furthermore, despite the reduced number of food deserts, these areas have increased in census tracts living under lower socioeconomic vulnerability condition. Food swamps recorded sharp increase in census tracts living under higher vulnerability condition. The population living in the herein investigated city has been increasingly exposed to an unhealthy community food environment over 12 years. Monitoring changes in community food environment is key strategy to enable tracking the effectiveness and efficiency of actions taken in food environments to ensure the human right to adequate food.

Depression risk and resilience in a diverse sample of older adults in the United States

Living in poor and physically deteriorating neighborhoods is associated with heightened likelihood of experiencing depression. At the same time, not all people experience their neighborhoods in the same way. We predicted and tested the possibility that variability in this association can be explained by the social support that people derive both from their personal networks and other people residing in the same neighborhood, and that this moderation varies by race/ethnicity. Health and Retirement Study data (2018/2020 waves) were used to evaluate the role of individual-level and contextual risk and resilience factors in association with depression among US older non-Hispanic white adults (n = 4,986, mean age 67 years), non-Hispanic black adults (n = 1,342, mean age 65 years), and Hispanic adults (n = 937, mean age 64 years). Four notable findings emerged. First, perceived neighborhood disorder was related to increased depression risk for non-Hispanic white and black participants, but not Hispanic participants. Second, participants residing in census tracts with higher poverty rates were more likely to report depression. Third, non-Hispanic white participants residing in census tracts with greater Hispanic resident density had reduced depression risk. This same pattern was not observed among non-Hispanic black participants. Finally, perceived support from family was associated with reduced depression risk among all participants. These data suggest both individual- and contextual-level sources of risk and resiliency for depression. The implications for theories that seek to explain the relative resilience to neighborhood disorder observed among US Hispanic residents are discussed.

Association of the Area Deprivation Index With Dementia Basic Workup and Diagnosis in Central and Western Virginia: A Cross-Sectional Study.

The Area Deprivation Index (ADI) provides a validated and multidimensional metric of areal disadvantage. Our goals were to determine if the ADI influences the likelihood of receiving workup based on published guidelines and an etiologic diagnosis of dementia in Central and Western Virginia. We collected deidentified data from the electronic health record of individuals aged 50-105 years diagnosed with dementia at the University of Virginia (UVA) Medical Center (2016-2021) and at Carillion Clinic (2018-2021). Visit-specific ICD-10 codes were used to classify each dementia diagnosis as "disease-specific" (e.g., Alzheimer disease) or "general" (e.g., unspecified dementia). Following the American Academy of Neurology guidelines, we considered the evaluation performed as "adequate" if patients had vitamin B12, thyroid-stimulating hormone, and brain CT or magnetic resonance imaging within 6 months of the initial diagnosis. Census tract ADI was linked to study participants using the unique census tract identifier derived from the participants' home addresses at the time of diagnosis. Statistical modeling occurred under a Bayesian paradigm implemented using a standard code in R. The study included 13,431 individuals diagnosed with dementia at UVA (n = 7,152) and Carillion Clinic (n = 6,279). Of those, 32.5% and 20.4% received "disease-specific" diagnoses at UVA and Carillion Clinic and 8.2% and 20.4% underwent "adequate" workup, respectively. The adjusted relationship between census tract ADI and the likelihood of a disease-specific diagnosis was U-shaped: Residence in moderately disadvantaged areas was associated with the lowest likelihood of disease-specific diagnosis. Most patients diagnosed with dementia did not receive an adequate evaluation or an etiologic diagnosis. Those living in locations just above the national median ADI levels had the lowest likelihood of receiving an etiologic diagnosis, lower than those in the least and most deprived areas. Renewed awareness efforts among providers are needed to increase compliance with diagnostic guidelines.

Examining community-level social vulnerability and emergency department use for people living with sickle cell disease in Michigan.

This study examined associations between emergency department (ED) visits and social vulnerability index (SVI) among Michigan's population with sickle cell disease (SCD) using data from the Michigan Sickle Cell Data Collection program (n=3658 in 2018). SVI was higher among census tracts where people with SCD resided (mean SVI=0.67; SD=0.27) compared to census tracts without SCD residents (mean SVI=0.39; SD=0.25; p<.001). For children with SCD, for every 0.1 increase in SVI score, the number of ED visits increased by 6% (IRR=1.061; SE=0.03; p=.038). Future research should investigate the association between SVI and ED use, at the community and household levels, to elucidate strategies to reduce ED use among children with SCD.

Socioeconomic Status and Major Adverse Transplant Events in Pediatric Heart Transplant Recipients

Low socioeconomic status (SES) has been associated with higher risk of rejection and graft loss in pediatric heart transplant (HT) recipients. The association of SES with other posttransplant morbidities is unknown. To assess whether low SES is associated with higher risk of a major adverse transplant event (MATE) among pediatric HT recipients. Retrospective single-center cohort study at a children's hospital in Boston with consecutive primary HT recipients from 2006 to 2019 and follow-up through 2022. Data were analyzed from June 2023 to March 2024. Very low or low, moderate, and high or very high Childhood Opportunity Index (COI) for neighborhood (census tract) of patient residence. Primary outcome was 3-year MATE-6 score assessed in 6-month survivors as cumulative burden of acute cellular rejection, antibody-mediated rejection, coronary vasculopathy, lymphoproliferative disease, kidney dysfunction, and infection, each as an ordinal score from 0 to 4 (24 for death or retransplant). Secondary outcomes were freedom from rejection during first 6 months, freedom from death or retransplant, MATE-3 score for events 1 to 3 (under immune suppression) and events 4 to 6 (chronic immune suppression effects), and each MATE component. Of 153 children analyzed, the median (IQR) age at HT was 7.2 (1.5-14.8) years, 99 (65%) were male, 16 (10%) were Black, 17 (11%) were Hispanic, and 106 (69%) were White. Fifty patients (33%) lived in very low or low, 17 (11%) in moderate, and 86 (56%) in high or very high COI neighborhoods. There was no significant group difference in mean (SD) 3-year MATE-6 score (very low or low COI, 3.4 [6.5]; moderate COI, 2.4 [6.3]; and high or very high COI, 4.0 [6.9]). Furthermore, there was no group difference in mean (SD) MATE-3 scores for underimmune suppression (very low or low COI, 1.9 [3.5]; moderate COI, 1.2 [3.2]; and high or very high COI, 2.2 [3.6]), chronic immune suppression effects (very low or low COI, 1.6 [3.3]; moderate COI, 1.1 [3.2]; and high or very high COI, 1.8 [3.6]), individual MATE components, rejection during the first 6 months, or death or retransplant. In this cohort study of pediatric HT recipients, there was no difference in posttransplant outcomes among recipients stratified by SES, a notable improvement from prior studies. These findings may be explained by state-level health reform, standardized posttransplant care, and early awareness of outcome disparities.

Bridging PrEP access gaps: Mapping geospatial accessibility across the US and leveraging community pharmacies for expansion

BackgroundPre-exposure prophylaxis (PrEP) is key to ending the US HIV epidemic, but uptake remains low. Federal legislation permitting community pharmacists to initiate PrEP nationwide could expand access to PrEP services. ObjectivesThis study aimed to evaluate census tract-level geospatial access to PrEP facilities and community pharmacies across the US and characterize geographic areas and populations where community pharmacies could help bridge the gap in care. MethodsWe identified census tracts with limited or no access (“deserts”) to PrEP facilities and community pharmacies in 2022 using 2 primary definitions: 1) a tract with no PrEP facilities or pharmacies within a 30-minute drive of the tract centroid; and 2) a tract with low income and low access (no PrEP facilities or pharmacies within one mile of the centroid for low vehicle access tracts, 2 miles in urban tracts, 10 miles in suburban tracts, 20 miles in rural tracts). Tracts with access were “oases,” and “PrEP desert, pharmacy oasis” tracts represented areas without PrEP facilities where community pharmacies could expand access. We characterized the social determinants of health associated with desert status and conducted sensitivity analyses exploring additional access definitions. ResultsOf the 82,729 census tracts in our analysis, most were classified as dual PrEP and pharmacy oases. We categorized 13.3% as PrEP deserts under the 30-minute definition, and 94.3% of these tracts were pharmacy oases. Under the low income and low access definition, 17.0% of all tracts were PrEP deserts, 78.2% of which were pharmacy oases. PrEP deserts were predominantly located in the Midwest and South and associated with higher poverty, social vulnerability, and uninsurance. ConclusionOur analysis confirmed inequitable access to PrEP facilities across the US. Federal recognition of pharmacists as health care providers empowered to initiate PrEP nationwide has the potential to substantially bridge access gaps for underserved communities.

Higher levels of neighborhood deprivation and risk for incident colorectal cancer and mortality outcomes: A systematic review and meta-analysis.

131 Background: Significant geographic and racial disparities exist for colorectal cancer (CRC) incidence and mortality in the United States (US), which may be caused by neighborhood-level deprivation and limited access to preventative cancer screening. We completed the first systematic review and meta-analysis of neighborhood-level deprivation in relation to CRC incidence, mortality, and screening among individuals from the US. Methods: A systematic literature review was completed to identify original research articles from PubMed, Scopus, and Web of Science. Eligible studies reported associations between deprivation at the census block or tract level using a validated deprivation index (e.g. the Area Deprivation Index or Yost Index) and CRC incidence, mortality, or screening outcomes in a US-based sample. A fixed-effects meta-analysis was completed using inverse-variance weighting to estimated hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) for CRC incidence, mortality, and screening outcomes, comparing the highest vs. lowest quantiles of neighborhood-level deprivation. All analyses were completed using the meta package in R. Results: In total, 19 studies were included in the meta-analysis. Living in a neighborhood in the highest quantile of deprivation was associated with significantly higher risk for incident CRC (HR 1.37, 95% CI 1.34-1.41, seven studies). In stratified analysis, positive associations with incident CRC were observed for White (HR 1.43, 95% CI 1.39-1.47, three studies), Black (HR 1.18, 95% CI 0.96-1.44, three studies), and Asian/Pacific Islander individuals (HR 1.18, 95% CI 1.08-1.28, two studies). For individuals diagnosed with CRC, higher deprivation was associated with elevated risk for overall mortality (HR 1.11, 95% CI 1.10-1.13, four studies) and CRC-specific mortality (HR 1.17, 95% CI 1.15-1.19, seven studies). Higher deprivation was associated with lower completion of recommended screening for CRC, including colonoscopy, sigmoidoscopy, or fecal occult blood testing (OR 0.76, 95% CI 0.74-0.79, four studies). Conclusions: Individuals who reside in neighborhoods with high levels of deprivation have significantly elevated risk for CRC incidence and mortality compared to individuals from low deprivation neighborhoods. Targeting healthcare resources to highly deprived neighborhoods to increase uptake of preventative screening may help to address racial and geographic disparities for CRC.

Are new pediatric trauma centers located close to the high-risk populations? A geolocation study.

Higher rates of injury occur in children who live in low socioeconomic areas. Since 2010, the number of verified Level I and Level II pediatric trauma centers (PTCs) has doubled. The purpose of this study is to look at the location of new verified PTC in relation to children living in high-risk areas. Historical and recent data about verified Level I and Level II PTCs were obtained from the American College of Surgeons (ACS), the American Trauma Society, and State Data where available. Census data were obtained from the US Census Bureau's American Community Survey for 2010 and 2020 for children younger than 18 years. The pediatric population was stratified by (1) poverty threshold and (2) living within 30 miles of PTC. The census data and trauma center locations were geocoded using the ArcGIS Pro program. Data analysis was performed at the census tract level. A total of 55 Level I or Level II ACS-verified PTCs were in the United States in 2010 and 116 in 2020. In 2010, there were 14.5 million children (19.6%) below the poverty threshold and 12.9 million (17.8%) in 2020. In 2010, 23 states did not have an ACS-verified PTC either in the state or in a neighboring state within 30 miles. By 2020, only nine states did not have an ACS-verified PTC or a center in a neighboring state within 30 miles. When state level data were included, this dropped to four. The 19 states who had new verified PTCs covered between 14% and 21% of children below the poverty level. The percentage of children below the poverty threshold and less than 30-mile access to a Level I or Level II PTC in 2010 was 74.56% compared with children above poverty and less than 30-mile access, which was 70.34% (p < 0.0001). In 2020, children below poverty without 30-mile access had been reduced to 52% and 45.54% for children above poverty level (p < 0.0001). Thus, there was a greater increase in 30-mile access for children above the poverty level than for those below the poverty level (24.8% vs. 22.6%, p < 0.001). On a national level, despite doubling the number of PTC, it has not improved 30-mile access for high-risk children. Alternatively, 19 states now have better access. Retrospective Cohort Study, Level III.

Is naloxone where it needs to be? Using spatial analytics to examine equitable distribution of community-based naloxone sites

BackgroundOne of the most effective harm reduction services for preventing opioid overdose deaths is naloxone. Given the ongoing opioid crisis, which has led to a surge in overdose deaths across the country, expanding access to naloxone is critical. Community-based naloxone distributions sites in Palm Beach County can increase access to naloxone. However, several rural and disadvantaged regions rarely have any type of access to naloxone. The purpose of this descriptive paper is to examine the spatial distribution of and evaluate equitable accessibility to community-based naloxone sites in Palm Beach County. MethodsWe examined health equity in the distribution of community-based naloxone sites using a mixed-methods approach with ArcGIS Pro version 3.0, which is a geographic information system (GIS) software used for mapping, spatial analysis, and data visualization. ResultsThe Belle Glade region was identified as the location most adversely affected with health inequities and limited accessibility to naloxone distribution sites, as it ranked in the 100 % percentile for all social vulnerability index (SVI) themes. The 30-minute drive-time area calculated a county service area of 1885.3 km2 (km2), which covers about 34 % of the 478.0 km2 land area of census tracts. Drive-time areas did not account for periods of heavier traffic such as during rush hour. Maximum distances during heavier traffic may be smaller, thus decreasing accessibility to naloxone distribution sites. ConclusionThere is a need for effective policy-led strategies tailored to expanding our understanding of the challenges that are experienced by the individuals in need of naloxone and encountered by the distribution sites themselves, as accessible naloxone is crucial for preventing nonfatal and fatal overdoses and ensuring timely emergency responses in vulnerable communities.

Evaluating Statewide Wastewater Affordability for Users of Sewer Systems and Onsite Wastewater Treatment Systems Based on Household Incomes at the Census Tract Level

Evaluating Statewide Wastewater Affordability for Users of Sewer Systems and Onsite Wastewater Treatment Systems Based on Household Incomes at the Census Tract Level

Non-receipt of targeted and immunotherapies in diverse patients with metastatic cancers.

93 Background: The rapid evolution of molecularly targeted kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) in the treatment of metastatic cancer, coupled with high drug costs, raises potential for unwarranted variation in patient management. We evaluated correlates of non-receipt of TKIs and ICIs in a diverse, population-based sample of patients with metastatic non-small cell lung cancer (NSCLC), kidney and bladder (GU) cancer, and melanoma. Methods: We identified 2240 patients diagnosed in 2019 with metastatic NSCLC, GU cancer, or melanoma and reported to the Georgia or Los Angeles SEER registries. Using SEER registry data, we linked all patients to a managing oncology physician. We collected data from the managing physician regarding receipt of TKIs and ICIs. We used bivariate analyses and multivariable logistic regression models to assess associations between non-receipt of TKIs and ICIs and patient-level factors. Results: We present results for a preliminary sample (N=894). About half (55%) of the patients had NSCLC, 31% had GU cancer, and 14% had melanoma. The mean age was 62 (SD 12); 59% were male; 65% were White, 16% were Black, 11% were Hispanic, and 7% were Asian; 52% had Medicare, 29% had private insurance, 9% had Medicaid, and 4% had no insurance; 89% resided in urban areas, 11% resided in rural areas. 22% lived in a census tract area with &gt;20% of the population living below the poverty level. The Table shows that in bivariate analyses, non-receipt of TKIs was associated with NSCLC, older age, male sex, non-white race, and non-private or no insurance (all p&lt;0.05). After adjustment, non-receipt of TKIs was associated with NSCLC, older age, male sex, and race. Asian and Hispanic patients had lower rates of non-receipt, and Black patients had higher rates. In bivariate analyses, non-receipt of ICIs was associated with NSCLC and GU cancer (p=0.004); this association remained significant after adjustment. Conclusions: Non-receipt of TKIs was associated with important non-clinical factors including race and sex. Non-receipt of ICIs was associated only with cancer type. These findings suggest that policy-relevant factors such as out-of-pocket costs for oral cancer therapies and differential access to molecular sequencing may contribute to unwarranted variation in receipt of TKIs. Bivariate analyses of non-receipt. Did not Receive TKI Did not Receive ICI % P % P Cancer type NSCLC GU Melanoma 786572 0.002 313015 0.004 Age &lt;50 50-64 65-74 75-84 85+ 5471757986 &lt;0.001 2625302940 0.385 Sex Male Female 7670 0.048 2631 0.085 Race &amp; Ethnicity White Black Hispanic Asian Other 7579655860 0.002 2329312927 0.981 Marital Status Married Unmarried 7373 0.645 2630 0.158 Insurance Medicare Medicaid Private Other government None 7075637080 &lt;0.001 3130215031 0.101 Geography Urban Rural 7375 0.784 2826 0.567 % population below poverty level 0-5% 5-&lt;10% 10-&lt;20% 20-100% 69717774 0.314 29273222 0.138

Urban greenery distribution and its link to social vulnerability

Urban greenery plays a pivotal role in urban environments, impacting the environmental well-being and people’s comfort. Several studies have demonstrated a strong link between urban greenery and socioeconomic status but still lack an analysis of greenery on uneven distribution in social vulnerability. This study assesses how multi-level greenery rates distribute and associate the social vulnerability of people in 429 census tracts in the Seattle metropolitan area. It integrates multi-source urban informatics data, including remote sensing data and street view imagery, to identify various vegetation types. Then, it uses the interpretable machine learning model to explore the relationship between street-level green space distribution and community vulnerability. The results show a serious problem of uneven distribution of green spaces in urban centers since urban areas are built up and fragmented the landscape. Areas with low urban greening in the Seattle area have higher rates of poverty, unemployment, racial segregation, and housing overcrowding. Besides, greening features like street green views, which are more related to human perception, have a great association with social vulnerability. These findings contribute to the urban green spaces to better promote community equity and vulnerability.

Understanding the zero-emission vehicle market spatial diffusion and its determinants from 2019 to 2022 using spatial econometric models

Due to the rapid rise in the acceptance of zero-emission vehicles (ZEVs), much research has been conducted on the market evolution of alternative fuel technology. The research reported in this paper builds on prior studies by incorporating several new directions. Firstly, the spatial distribution of ZEV purchases in California is explored, then seven models (two nonspatial models and five spatially explicit models) are developed to predict regional ZEV sales. The predictions are based on fundamental and widely accessible characteristics such as infrastructure and demographic statistics. Next, a spatial econometric model known as the “spatial error model” is chosen to distribute ZEV sales from their original postal code (ZIP) level to the more often utilized US census tract level. This allows for carrying out a comprehensive analysis that includes studying the correlation of ZEV sales with local incentives and disadvantaged communities. Results reveal that ZEV sales in California increased significantly between 2019 and 2022, as spatial autocorrelation decreased. Vulnerable groups were less likely to have access to ZEVs, particularly during the initial stage of the ZEV market penetration in 2019. As expected, regions with considerable ZEV sales tended to also experience substantial purchase rebates and lower disadvantaged population, especially in 2019.

Neighborhood social vulnerability as a mediator of racial disparities in insomnia severity

Study objectivesRecent data has indicated that Black Americans experience more severe insomnia compared to their White counterparts. Although previous studies have identified psychosocial mechanisms driving this disparity, little is known about the structural determinants of insomnia disparities. This study tested neighborhood social vulnerability as a mechanism driving Black-White disparities in insomnia severity in the United States. MethodsParticipants with a previous diagnosis of insomnia (N = 196) reported their race and insomnia severity (Insomnia Severity Index). As a measure of the neighborhood environment Social Vulnerability Index was calculated by geocoding home address at the time of participation to the respective census tract from the 2020 US Census. A mediation analysis tested the indirect effect of the Social Vulnerability Index between race and insomnia severity. ResultsBlack participants reported worse insomnia severity compared to White participants. Black participants also had 3.3 times the odds of living in neighborhoods with higher social vulnerability compared to White participants, with a group median difference of 0.26 percentile points (scale 0 to 1). As hypothesized, results revealed a significant indirect effect of the Social Vulnerability Index, which accounted for 31.1% of the variance between race and insomnia severity. ConclusionLiving in a socially vulnerable neighborhood environment may be a mechanism driving racial disparities in insomnia severity. Interventions that consider structural determinants of health, including community-based and policy-level interventions could have an enhanced impact on addressing insomnia and its public health consequences.

Monitoring Changes in Walkability Over Time: An Environmental Exposure Change Detection Framework with Implications for Equity and Social Justice

Evidence suggests that walkability and greenspace impact travel related activity patterns and vehicle emissions which affect sustainability, public health, and equity. Resulting levels of physical activity, active, or sedentary travel time impact obesity, diabetes, and heart disease which impact COVID-19 mortality. It is now possible to track changes in locally controlled land use characteristics known to impact sustainability and health. This information can provide decisionmakers with feedback required to spatially prioritize and better link state and nationally funded transportation investments with locally sanctioned land use actions. Linking the achievement of established benchmarks of health equity-based indicators with funding establishes a more performance-based approach connecting land use with transportation investment. This study longitudinally tracks neighborhood-level walkability features at the census tract level for 2013 and 2020 for the entire USA. Longitudinal volatility-based change detection models are developed to examine how changes in walkability over time correlate with racialization and social justice. Walkability tends to increase over time with significant variations across metro regions and the urban-rural continuum. Largest and smallest increases in walkability were observed in Western Pacific and Northwest states, respectively. Increased racial and social justice disparities were observed in access to more walkable infrastructure by marginalized populations (such as less-educated, older, unemployed, and black individuals). Significant heterogeneity in the spatial distribution of walkability was observed, over the variation captured by observed sociodemographic, regional, and urban/rural factors. The findings highlight the potential for an “environmental surveillance” system to support a “performance-based” approach to transportation funding that prioritizes resource allocation consistent with Justice40 and United Nation's Sustainable Development Goals.