Project description:ImportanceThe burden of firearm violence in US cities continues to rise. The role of access to trauma center care as a trauma system measure with implications for firearm injury mortality has not been comprehensively evaluated.ObjectiveTo evaluate the association between geospatial access to care and firearm injury mortality in an urban trauma system.Design, setting, and participantsRetrospective cohort study of all people 15 years and older shot due to interpersonal violence in Philadelphia, Pennsylvania, between January 1, 2015, and August 9, 2021.ExposuresGeospatial access to care, defined as the predicted ground transport time to the nearest trauma center for each person shot, derived by geospatial network analysis.Main outcomes and measuresRisk-adjusted mortality estimated using hierarchical logistic regression. The population attributable fraction was used to estimate the proportion of fatalities attributable to disparities in geospatial access to care.ResultsDuring the study period, 10 105 people (910 [9%] female and 9195 [91%] male; median [IQR] age, 26 [21-28] years; 8441 [84%] Black, 1596 [16%] White, and 68 other [<1%], including Asian and unknown, consolidated owing to small numbers) were shot due to interpersonal violence in Philadelphia. Of these, 1999 (20%) died. The median (IQR) predicted transport time was 5.6 (3.8-7.2) minutes. After risk adjustment, each additional minute of predicted ground transport time was associated with an increase in odds of mortality (odds ratio [OR], 1.03 per minute; 95% CI, 1.01-1.05). Calculation of the population attributable fraction using mortality rate ratios for incremental 1-minute increases in predicted ground transport time estimated that 23% of shooting fatalities could be attributed to differences in access to care, equivalent to 455 deaths over the study period.Conclusions and relevanceThese findings indicate that geospatial access to care may be an important trauma system measure, improvements to which may result in reduced deaths from gun violence in US cities.
Project description:IntroductionFirearm-related injuries in the U.S. have risen 37% since 2015. Understanding how the association between firearm incidents and state-level firearm restrictiveness is modified by community-level distress and economic connectedness (EC) may inform upstream injury prevention efforts.MethodsA national cross-sectional study of firearm incidents (interpersonal and unintentional firearm events) occurring between 1/2015 and 12/2021 was performed using the Gun Violence Archive. The exposures were community distress (Distressed Communities Index, DCI), EC, and year-state-level firearm restrictiveness. The primary outcome was mean annual urban firearm incidence rate per ZIP Code Tabulation Area. Generalized linear mixed models were fit to evaluate the modification of the firearm law-firearm incident association by DCI and EC. Data analyses took place in 2022.ResultsAbout 266,020 firearm incidents were included. The mean rate was higher with each DCI tertile, with a RR of 3.18 (95% CI: 3.06, 3.30) in high versus low distress communities. Low EC was associated with over 1.8 times greater rate of firearm-related injury. The least restrictive firearm laws were associated with 1.20 times higher risk of firearm incidents (95% CI: 1.12, 1.28). The association between restrictive laws and lower incidence rates was strongest in low and medium distress and high EC communities.ConclusionsStricter firearm laws are associated with lower rate of firearm incidents. The magnitude of this association is smallest for communities experiencing the greatest economic disadvantage.
Project description:Cardiovascular disease (CVD), the leading cause of death in the United States, is impacted by neighborhood-level factors including social deprivation. To measure the association between social deprivation and CVD mortality in Harris County, Texas, global (Ordinary Least Squares (OLS) and local (Geographically Weighted Regression (GWR)) models were built. The models explored the spatial variation in the relationship at a census-tract level while controlling for age, income by race, and education. A significant and spatially varying association (p < .01) was found between social deprivation and CVD mortality, when controlling for all other factors in the model. The GWR model provided a better model fit over the analogous OLS model (R2 = .65 vs. .57), reinforcing the importance of geography and neighborhood of residence in the relationship between social deprivation and CVD mortality. Findings from the GWR model can be used to identify neighborhoods at greatest risk for poor health outcomes and to inform the placement of community-based interventions.
Project description:ImportancePresenting with complicated appendicitis, which is associated with higher rates of complications and readmissions compared with simple appendicitis, may indicate delayed access to care. Although both patient-level and neighborhood-level social determinants of health are associated with access to care, little is known about the association between neighborhood factors and access to acute pediatric surgical care.ObjectiveTo examine the association between neighborhood factors and the odds of presenting with complicated appendicitis and unplanned postdischarge health care use.Design, setting, and participantsA retrospective cohort study of patients aged 18 years or younger diagnosed with appendicitis was conducted. Discharge data from October 1, 2015, to September 30, 2018, were obtained from the Pediatric Health Information System Database and linked to the Child Opportunity Index (COI) 2.0 Database. Data analysis was conducted from January 1 through July 1, 2021.ExposuresThe COI, a composite score of zip code neighborhood opportunity level information, divided into quintiles ranging from very low to very high opportunity.Main outcomes and measuresBased on COI level, the main outcome was the odds of presenting with complicated appendicitis, which was defined using the Agency for Healthcare Research and Quality-specified International Statistical Classification of Diseases, 10th Edition, Clinical Modification codes. The secondary outcome was the odds of unplanned postdischarge health care use (emergency department visits and/or readmissions) for patients with simple and with complicated appendicitis.ResultsA total of 67 489 patients (mean [SD] age, 10.5 [3.9] years) had appendicitis, with 31 223 cases (46.3%) being complicated. A total of 1699 patients (2.5%) were Asian, 24 234 (35.9%) were Hispanic, 4447 (6.6%) were non-Hispanic Black, and 29 234 (43.3%) were non-Hispanic White; 40 549 patients (60.1%) were male; and 32 343 (47.9%) were publicly insured. Patients living in very low-COI neighborhoods had 28% higher odds of presenting with complicated appendicitis (odds ratio, 1.28; 95% CI, 1.20-1.35) compared with those in very high-COI neighborhoods. There was no significant association between COI level and unplanned postdischarge health care use (very high COI, 20.8%; very low COI, 19.1%).Conclusions and relevanceIn this cohort study, children from lower-COI neighborhoods had increased odds of presenting with complicated appendicitis compared with those from higher-COI neighborhoods, even after controlling for patient-level social determinants of health factors. These findings may inform policies and programs that seek to improve access to pediatric surgical care.
Project description:Neighborhood context might influence the risk of chronic kidney disease (CKD), a condition that impacts approximately 10% of the United States population and is associated with significant morbidity, mortality, and costs. We included a sample of 23,692 individuals in Philadelphia, Pennsylvania, who were seen in a large academic primary care practice between January 1, 2016 and December 31, 2017. We used generalized linear equations to estimate the associations between indicators of neighborhood context (e.g., proximity to healthy foods stores, neighborhood walkability, social capital, crime rate, socioeconomic status) and CKD, adjusted for age, sex, race/ethnicity, and insurance coverage. Among those with CKD, secondary outcomes were poor glycemic control (hemoglobin A1c ≥ 6.5%) and uncontrolled blood pressure (systolic ≥ 140 mm Hg and/or diastolic ≥ 90 mm Hg). The cohort represented residents from 97% of Philadelphia census tracts. CKD prevalence was 10%. When all neighborhood context metrics were considered collectively, only lower neighborhood socioeconomic index (a composite assessment of neighborhood income, educational attainment, and occupation) was associated with a higher risk of CKD (lowest tertile vs. highest tertile: adjusted relative risk [aRR] 1.46 [1.25, 1.69]; mid-tertile vs. highest-tertile: aRR 1.35 [1.25, 1.52]). Among those with CKD, compared to residence in the most walkable neighborhoods (i.e., where most essential resources are accessible by foot), residence in neighborhoods with mid-level WalkScore® (i.e., where only some essential neighborhood resources are accessible by foot) was independently associated with poor glycemic control (aRR 1.20, 95% CI 1.01-1.42). These findings suggest a potential role for measures of neighborhood socioeconomic status in identifying communities that would benefit from screening and treatment for CKD. Studies are also needed to determine mechanisms to explain why residence in neighborhoods not easily navigated by foot or car might hinder glycemic control among people with CKD.
Project description:ImportanceFinancial toxicity resulting from cancer care poses a substantial public health concern, leading some patients to turn to online crowdfunding. However, the practice may exacerbate existing socioeconomic cancer disparities by privileging those with access to interpersonal wealth and digital media literacy.ObjectiveTo test the hypotheses that higher county-level socioeconomic status and the presence (vs absence) of text indicators of beneficiary worth in campaign descriptions are associated with amount raised from cancer crowdfunding.Design, setting, and participantsThis cross-sectional analysis examined US cancer crowdfunding campaigns conducted between 2010 and 2019 and data from the American Community Survey (2013-2017). Data analysis was performed from December 2019 to March 2020.ExposuresNeighborhood deprivation index of campaign location and campaign text features indicating the beneficiary's worth.Main outcomes and measuresAmount of money raised.ResultsThis study analyzed 144 061 US cancer crowdfunding campaigns. Campaigns in counties with higher neighborhood deprivation raised less (-26.07%; 95% CI, -27.46% to -24.65%; P < .001) than those in counties with less neighborhood deprivation. Campaigns raised more funds when legitimizing details were provided, including clinical details about the cancer type (9.58%; 95% CI, 8.00% to 11.18%; P < .001) and treatment type (6.58%; 95% CI, 5.44% to 7.79%; P < .001) and financial details, such as insurance status (1.39%; 95% CI, 0.20% to 2.63%; P = .02) and out-of-pocket costs (7.36%; 95% CI, 6.18% to 8.55%; P < .001). Campaigns raised more money when beneficiaries were described as warm (13.80%; 95% CI, 12.30% to 15.26%; P < .001), brave (15.40%; 95% CI, 14.11% to 16.65%; P < .001), or self-reliant (5.23%; 95% CI, 3.77% to 6.72%; P < .001).Conclusions and relevanceThese findings suggest that cancer crowdfunding success ay disproportionately benefit those in high-socioeconomic status areas and those with the internet literacy necessary to portray beneficiaries as worthy. By rewarding those with existing socioeconomic advantage, cancer crowdfunding may perpetuate socioeconomic disparities in cancer care access. The findings also underscore the widespread nature of financial toxicity resulting from cancer care.
Project description:ImportanceNeighborhood deprivation is associated with age-related disease, mortality, and reduced life expectancy. However, biological pathways underlying these associations are not well understood.ObjectiveTo evaluate the association between neighborhood deprivation and epigenetic measures of age acceleration and genome-wide methylation.Design, setting, and participantsThis cross-sectional study used data from the Sister Study, a prospective cohort study comprising 50 884 women living in the US and Puerto Rico aged 35 to 74 years at enrollment who had a sister with breast cancer but had not had breast cancer themselves. Cohort enrollment occurred between July 2003 and March 2009. Participants completed a computer-assisted telephone interview on demographic, socioeconomic, lifestyle, and residential factors and provided anthropometric measures and peripheral blood samples at a home examination. DNA methylation data obtained for 2630 non-Hispanic White women selected for a case-cohort study in 2014 were used in this cross-sectional analysis. DNA methylation was measured using the HumanMethylation450 BeadChips in whole blood samples collected at baseline. Data analysis for this study was performed from October 17, 2019, to August 27, 2020.ExposuresEach participants' primary address was linked to an established index of neighborhood deprivation.Main outcomes and measuresEpigenetic age was estimated using 4 epigenetic clocks (Horvath, Hannum, PhenoAge, and GrimAge). Age acceleration was determined using residuals from regressing chronologic age on each of the 4 epigenetic age metrics. Linear regression was used to estimate associations between neighborhood deprivation and epigenetic age acceleration as well as DNA methylation at individual cytosine-guanine sites across the genome.ResultsMean (SD) age of the 2630 participants was 56.9 (8.7) years. Those with the greatest (>75th percentile) vs least (≤25th percentile) neighborhood deprivation had higher epigenetic age acceleration estimated by Hannum (β = 0.23; 95% CI, 0.01-0.45), PhenoAge (β = 0.28; 95% CI, 0.06-.50), and GrimAge (β = 0.37; 95% CI, 0.12-0.62). Increasing US quartiles of neighborhood deprivation exhibited a trend with Hannum, PhenoAge, and GrimAge. For example, GrimAge showed a significant dose-response (P test for trend <.001) as follows: level 2 vs level 1 (β = 0.30; 95% CI, 0.17-0.42), level 3 vs level 1 (β = 0.35; 95% CI, 0.19-0.50), and level 4 vs level 1 (β = 0.37; 95% CI, 0.12-0.62). Neighborhood deprivation was found to be associated with 3 cytosine-phosphate-guanine sites, with 1 of these annotated to a known gene MAOB (P = 9.71 × 10-08).Conclusions and relevanceThe findings of this study suggest that residing in a neighborhood with a higher deprivation index appears to be reflected by methylation-based markers of aging.
Project description:ObjectiveWhen socioeconomic status is measured at the individual and/or family level, it has long been associated with cognition in children. However, the association between neighborhood deprivation, an index of community-level socioeconomic status, and child cognition is not fully understood. The goal of this study was to investigate (1) the relationship between neighborhood deprivation and child cognitive functioning and (2) whether child age moderates the relationship between cognitive functioning and neighborhood deprivation.MethodsThis study included 9878 children, ages 3 through 17 years (M = 10.4 yrs, SD = 3.4 yrs). Data were gathered from children referred for and evaluated at an urban, outpatient neuropsychology assessment clinic between 2006 and 2022, located in the Mid-Atlantic region of the United States. Neighborhood socioeconomic status was measured at the census block level using the Area Deprivation Index composite.ResultsThere was a 20-point median difference in overall intelligence between the neighborhoods with the lowest and highest levels of deprivation. Overall intelligence and verbal comprehension, compared with working memory, fluid reasoning, and processing speed, demonstrated the strongest negative association with neighborhood deprivation (all p < 0.05). Older children had lower overall intelligence scores compared with younger children in neighborhoods with high levels of deprivation ( p < 0.01), suggesting a cumulative influence of poverty exposure.ConclusionThis study demonstrates the stark disparities in child cognitive functioning across levels of neighborhood deprivation. Findings support the importance of access to early interventions and services that promote intellectual growth and verbal capacity among children who live in neighborhoods with great deprivation.
Project description:Background and objectivePediatric firearm injuries increased during the coronavirus disease 2019 pandemic, but recent trends in firearm injury emergency department (ED) visits are not well described. We aimed to assess how pediatric firearm injury ED visits during the pandemic differed from expected prepandemic trends.MethodsWe retrospectively studied firearm injury ED visits by children <18 years old at 9 US hospitals participating in the Pediatric Emergency Care Applied Research Network Registry before (January 2017 to February 2020) and during (March 2020 to November 2022) the pandemic. Multivariable Poisson regression models estimated expected visit rates from prepandemic data. We calculated rate ratios (RRs) of observed to expected visits per 30 days, overall, and by sociodemographic characteristics.ResultsWe identified 1904 firearm injury ED visits (52.3% 15-17 years old, 80.0% male, 63.5% non-Hispanic Black), with 694 prepandemic visits and 1210 visits during the pandemic. Death in the ED/hospital increased from 3.1% prepandemic to 6.1% during the pandemic (P = .007). Firearm injury visits per 30 days increased from 18.0 prepandemic to 36.1 during the pandemic (RR 2.09, 95% CI 1.63-2.91). Increases beyond expected rates were seen for 10- to 14-year-olds (RR 2.61, 95% CI 1.69-5.71), females (RR 2.46, 95% CI 1.55-6.00), males (RR 2.00, 95% CI 1.53-2.86), Hispanic children (RR 2.30, 95% CI 1.30-9.91), and Black non-Hispanic children (RR 1.88, 95% CI 1.34-3.10).ConclusionsFirearm injury ED visits for children increased beyond expected prepandemic trends, with greater increases among certain population subgroups. These findings may inform firearm injury prevention efforts.
Project description:Although urban birth, upbringing, and living are associated with increased risk of nonaffective psychotic disorders, few studies have used appropriate multilevel techniques accounting for spatial dependency in risk to investigate social, economic, or physical determinants of psychosis incidence. We adopted Bayesian hierarchical modeling to investigate the sociospatial distribution of psychosis risk in East London for DSM-IV nonaffective and affective psychotic disorders, ascertained over a 2-year period in the East London first-episode psychosis study. We included individual and environmental data on 427 subjects experiencing first-episode psychosis to estimate the incidence of disorder across 56 neighborhoods, having standardized for age, sex, ethnicity, and socioeconomic status. A Bayesian model that included spatially structured neighborhood-level random effects identified substantial unexplained variation in nonaffective psychosis risk after controlling for individual-level factors. This variation was independently associated with greater levels of neighborhood income inequality (SD increase in inequality: Bayesian relative risks [RR]: 1.25; 95% CI: 1.04-1.49), absolute deprivation (RR: 1.28; 95% CI: 1.08-1.51) and population density (RR: 1.18; 95% CI: 1.00-1.41). Neighborhood ethnic composition effects were associated with incidence of nonaffective psychosis for people of black Caribbean and black African origin. No variation in the spatial distribution of the affective psychoses was identified, consistent with the possibility of differing etiological origins of affective and nonaffective psychoses. Our data suggest that both absolute and relative measures of neighborhood social composition are associated with the incidence of nonaffective psychosis. We suggest these associations are consistent with a role for social stressors in psychosis risk, particularly when people live in more unequal communities.