Home Address Research Articles

Neighborhood environments and psychological distress 6-years later: results from the San Diego HCHS/SOL community and surrounding areas study.

The current study examined associations of social and built features of neighborhood environments with psychological distress 6 years later and whether these associations were explained by stress and social factors, among Hispanic/Latino adults from the HCHS/SOL and SOL CASAS Ancillary Study. In the SOL CASAS Ancillary Study, HCHS/SOL San Diego participants' baseline (2008-2011) home addresses were geocoded, neighborhoods were defined using 800m radial buffers, and variables representing neighborhood socioeconomic deprivation, social disorder, walkability, and greenness were created. Psychological distress (anxiety and depression symptoms) and proposed pathway variables chronic stress, social support, and family cohesion were assessed at HCHS/SOL Visit 2 (2014-2017). On average, the population (n = 2785) was 39.47 years old, 53.3% were women, and 92.3% were of Mexican heritage. In complex survey regression analyses that accounted for sociodemographic covariates, the complex sampling design, and sample weights, greater baseline neighborhood socioeconomic deprivation predicted lower family cohesion at Visit 2 (B = -0.99, 95% CI [-1.97, -0.06]). Path models showed indirect associations of baseline neighborhood socioeconomic deprivation with Visit 2 psychological distress through family cohesion (MacKinnon's 95% CI depression [0.001, 0.026]; 3.9% of the variance accounted for; anxiety [0.00071, 0.019] 3.0% of the variance accounted for). Among adults of mostly Mexican heritage from the San Diego, CA area, neighborhood deprivation indirectly predicted later psychological distress through family cohesion. No other effects of neighborhood variables were observed.

Predictors of Pediatric Asthma Management: Identifying Actionable Results With Geographic Determinants.

Pediatric asthma remains one of the most prominent chronic health conditions among US youth. Geographic determinants such as air pollutants have been identified as playing a role in asthma development and exacerbation. The purpose of this study was to determine geospatial predictors of pediatric asthma exacerbation events and to prioritize housing remediation resources. Electronic medical records were abstracted from a health plan in Southern California. The inclusion criteria that created a sample of 51 557 members were those aged 21years and younger, who had at least 1 asthma-related encounter between January 2019 and December 2021. Diagnoses, age, number of clinic and emergency department visits, and home addresses were included. The air quality index from the closest monitoring station during the study period, residential distance from a primary roadway, and residential distance from manufacturing sites were included in the spatial analysis. The average number of asthma-related clinic visits was 2 across the sample. Individuals with more asthma-related clinic visits residing in public housing were more likely to live within 4 km of industrial manufacturing locations (P <.001), reside closer to a major roadway (P <.001), and experience a higher number of poor air quality days (P <.001). Modeling results show these factors were also significantly predictive of an increase of asthma-related health care encounters. The findings of this study were consistent with previous studies linking asthma and poor air quality and further highlighted some of the additive and potentially exponential challenges that public housing, major roadways, and manufacturing sites provide communities in their proximity. This research can guide environmental interventions, including the frequency of public housing inspections, community outreach, and the development of communication strategies, to reduce asthma-related experiences across neighborhoods.

Associations between blood nickel and lung function in young Chinese: An observational study combining epidemiology and metabolomics

Prior research has explored the relationship between occupational exposure to nickel and lung function. Nonetheless, there is limited research examining the correlation between blood nickel levels and lung function among young adults in the general population. The metabolomic changes associated with nickel exposure have not been well elucidated. On August 23, 2019, we enrolled 257 undergraduate participants from the Chinese Undergraduates Cohort to undergo measurements of blood nickel levels and lung function. The follow-up study was conducted in May 2021. A linear mixed-effects model was employed to assess the relationship between blood nickel levels and lung function. We also conducted stratified analyses by home address. In addition, in order to explore the biological mechanism of lung function damage caused by nickel exposure, we performed metabolomic analyses of baseline serum samples (N = 251). Both analysis of variance and mixed linear effect models were utilized to assess the impact of blood nickel exposure on metabolism. Our findings from cross-sectional and cohort analyses revealed a significant association between blood nickel levels and decreased forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC) among young adults in the general population. Furthermore, we found stronger associations in urban areas. In metabolomics analysis, a total of nine metabolites were significantly changed under blood nickel exposure. The changed metabolites were mainly enriched in six pathways including carbohydrate, amino acid, and cofactor vitamin metabolism. These metabolic pathways involve inflammation and oxidative stress, indicating that high concentrations of nickel exposure can cause inflammation and oxidative stress by disrupting the above metabolism of the body.

Socioeconomic Indices Are Associated With Increased Resource Utilizations, but Not 90-Day Complications Following Total Hip and Knee Arthroplasty

BackgroundSocioeconomic disadvantage has been associated with negative outcomes following total hip arthroplasty (THA) and total knee arthroplasty (TKA). The area deprivation index (ADI) and distressed communities index (DCI) are composite rankings that score socioeconomic status (SES) using patients’ home addresses. The purpose of this study was to examine the association of ADI and DCI with outcomes following THA and TKA while controlling for potential confounding covariates. MethodsA series of 4,146 consecutive patients undergoing primary THA and TKA between January 2018 and May 2023 were queried from our institutional total joint registry. The 90-day medical and surgical complications and resource utilization were collected. The ADI and DCI scores were obtained for each patient, and the association between these scores and postoperative outcomes was analyzed. ResultsThe ADI and DCI were both associated with patient age, sex, race, comorbidity burden, and smoking status. After controlling for these variables, higher ADI and DCI scores were associated with increased length of stay (P = 0.003 and P = 0.008, respectively), but were not associated with the occurrence of any 90-day complication, reoperation, or revision. ConclusionsThe SES, as quantified by ADI and DCI, was associated with multiple known risk factors for complications following THA and TKA, but was not independently associated with complications, reoperations, or revision surgeries at 90 days postoperatively. While convenient metrics for the quantification of SES, in some populations, ADI and DCI may not be independently associated with detrimental outcomes following THA and TKA.

Travel-associated carbon emissions of patients receiving cancer treatment from an urban safety net hospital

BackgroundHealthcare transportation, particularly the transportation of patients to access healthcare services, is a significant source of carbon emissions. This study aims to estimate the carbon emissions of patient transportation among patients receiving cancer care at an urban community safety net hospital. Materials and MethodsWe conducted a retrospective study of patients seen at the oncology clinic of an urban community safety net hospital between 1 July 2022 and 30 June 2023. Patients with at least one in-person visit in 1 year, documented home addresses, and oncologic diagnoses were included in the study. The distance between each patient's home address and the hospital was calculated using the Google Map API key and a macro to calculate distance in metres. The total estimated carbon emissions were calculated using the EPA equivalencies calculator. The primary outcome was carbon emissions from patients' round-trip travel from home to hospital. ResultsFrom 1 July 2022 to 30 June 2023, 13,970 visits were made to the oncology clinic. Of these, 8,235 visits made by 1,080 patients met the criteria for inclusion in the final analysis. Of the 8,235 visits recorded, 5,095 (61.8%) were follow-up/laboratory visits. The 1,080 patients who attended the clinic had a mean age of 63.8 years; 700 (64.8%) were male, and 525 (48.6%) were Black or African-American. Breast cancer was the most common diagnosis, accounting for 423 (39.2%) of cancer diagnoses. Each patient travelled 4.8 (0.3–149.3) miles for a one-way trip and 9.6 (0.7–298.6) miles for a round trip to receive cancer care. Approximately 1,520 (280–119,440) g carbon were emitted per patient visit. A total of 79,582 round-trip miles was calculated for the 8,235 visits made by all patients within 1 year, which corresponds to 31,832 kg CO2 emissions equivalent to 35,658 pounds of coal burned, 1,462 propane cylinders used for a home, or 3,872,250 smartphones charged. ConclusionTravel to receive cancer care is associated with significant carbon emissions and poses a climate and public health risk. Efforts to decrease the overall carbon footprint of cancer treatment are needed to minimise the contributions of cancer treatment to climate change.

Digital disease management programme reduces chronic gastrointestinal symptoms among racially and socially vulnerable populations

ObjectiveConsiderable disparities exist in access to gastrointestinal (GI) care and digestive outcomes across gender, racial, and socioeconomic groups. We evaluated (1) whether adults with chronic GI symptoms from diverse demographic...

User Mobility Modeling in Crowdsourcing Application to Prevent Inference Attacks

With the rise of the Internet of Things (IoT), mobile crowdsourcing has become a leading application, leveraging the ubiquitous presence of smartphone users to collect and process data. Spatial crowdsourcing, which assigns tasks based on users’ geographic locations, has proven to be particularly innovative. However, this trend raises significant privacy concerns, particularly regarding the precise geographic data required by these crowdsourcing platforms. Traditional methods, such as dummy locations, spatial cloaking, differential privacy, k-anonymity, and encryption, often fail to mitigate the risks associated with the continuous disclosure of location data. An unauthorized entity could access these data and infer personal information about individuals, such as their home address, workplace, religion, or political affiliations, thus constituting a privacy violation. In this paper, we propose a user mobility model designed to enhance location privacy protection by accurately identifying Points of Interest (POIs) and countering inference attacks. Our main contribution here focuses on user mobility modeling and the introduction of an advanced algorithm for precise POI identification. We evaluate our contributions using GPS data collected from 10 volunteers over a period of 3 months. The results show that our mobility model delivers significant performance and that our POI extraction algorithm outperforms existing approaches.

Area Deprivation Index as a proxy for socioeconomic status in outpatient orthopaedic surgery patients – A prospective registry cross sectional study

BackgroundWe aimed to determine if Area Deprivation Index (ADI) is associated with self-reported metrics socioeconomic status (SES), and to assess the relationship between ADI and preoperative score on common patient reported outcome scores (PROS). MethodsPatients presenting for outpatient orthopaedic surgery completed Patient-Reported Outcome Metric Information System (PROMIS) and joint-specific PROS. ADI was determined from geocoded home address. Sociodemographic data was collected from self-reported survey. Tests of association were used to describe the relationship between ADI and sociodemographic factors as well as the correlation between ADI and PROS. Extreme group analysis was used to examine which PROS may be subject to clinically meaningful variation. ResultsADI was associated with self-reported SES. ADI was correlated with score on all baseline PROS. Extreme group analysis showed that low SES was associated with clinically meaningful differences in some, but not all, PROS. ConclusionADI is associated with self-reported measures of SES in an orthopaedic outpatient surgical population. Lower SES correlates with worse function to a clinically significant degree for some PROS. SES should be considered in the context of preoperative symptom severity in outpatient orthopaedic surgery patients. ADI may be a useful adjunct to self-reported measures of SES for this purpose.

Long-term exposures to low concentrations of source-specific air pollution, road-traffic noise, and systemic inflammation and cardiovascular disease biomarkers

ObjectivesAir pollution and traffic noise are detrimental to cardiovascular health. However, the effects of different sources of these exposures on cardiovascular biomarkers remain unclear. We explored the associations of long-term exposure to source-specific air pollution (vehicular exhausts and residential woodsmoke) at low concentrations and road-traffic noise with systemic inflammation and cardiovascular disease biomarkers. Material and methodsModeled outdoor exposure to fine particulate matter (aerodynamic diameter ≤2.5 μm; PM2.5) from vehicular exhausts and residential woodsmoke, nitrogen dioxide (NO2) from road traffic, and road-traffic noise were linked to the home addresses of the participants (Finnish residents aged 25–74) in the FINRISK study 1997–2012. The participants were located in the cities of Helsinki, Vantaa, and the region of Turku, Finland. The outcomes were high-sensitivity C-reactive protein (CRP), a biomarker for systemic inflammation, and cardiovascular disease biomarkers N-terminal pro-B-type natriuretic peptide (NT-proBNP) and troponin I. We performed cross-sectional analyses with linear and additive models and adjusted for potential confounders. ResultsWe found no association between PM2.5 from vehicular exhausts (% CRP difference for 1 μg/m3 increase in PM2.5: −0.9, 95% confidence interval, CI: −7.2, 5.8), or from residential woodsmoke (% difference: −8.1, 95% CI: −21.7, 7.9) and CRP (N = 4147). Road-traffic noise >70 dB tended to be positively associated with CRP (% CRP difference versus noise reference category of ≤45 dB: 18.3, 95% CI: −0.5, 40.6), but the association lacked significance and robustness (N = 7142). Otherwise, we found no association between road-traffic noise and CRP, nor between NO2 from road traffic and NT-proBNP (N = 1907) or troponin I (N = 1951). ConclusionLong-term exposures to source-specific, fairly low-level air pollution from vehicular exhausts and residential woodsmoke, or road-traffic noise were not associated with systemic inflammation and cardiovascular disease biomarkers in this urban area.

Higher neighborhood disadvantage is associated with weaker interactions among cardiometabolic drivers

BackgroundAdiposity, dysglycemia, and hypertension are metabolic drivers that have causal interactions with each other. However, the effect of neighborhood-level disadvantage on the intensity of interactions among these metabolic drivers has not been studied. The objective of this study is to determine whether the strength of the interplay between these drivers is affected by neighborhood-level disadvantage. MethodsThis cross-sectional study analyzed patients presenting to a multidisciplinary preventive cardiology center in New York City, from March 2017 to February 2021. Patients’ home addresses were mapped to the Area Deprivation Index to determine neighborhood disadvantage. The outcomes of interest were correlation coefficients (range from −1 to +1) among the various stages (0 - normal, 1 - risk, 2 - predisease, 3 - disease, and 4 - complications) of abnormal adiposity, dysglycemia, and hypertension at presentation, stratified by neighborhood disadvantage. ResultsThe cohort consisted of 963 patients (age, median [IQR] 63.8 [49.7–72.5] years; 624 [65.1 %] female). The correlation among the various stages of adiposity, dysglycemia, and hypertension was weaker with increasing neighborhood disadvantage (P for trend <0.001). Specifically, the correlation describing adiposity, dysglycemia, and hypertension interaction was weaker in the high neighborhood disadvantage group compared to the intermediate neighborhood disadvantage group (median [IQR]: 0.34 [0.27, 0.44] vs. median [IQR]: 0.39 [0.34, 0.45]; P < 0.001) and compared to the low neighborhood disadvantage group (median [IQR]: 0.34 [0.27, 0.44] vs. median [IQR]: 0.54 [0.52, 0.57]; P < 0.001), as well as weaker in the intermediate neighborhood disadvantage group compared to the low neighborhood disadvantage group (median [IQR]: 0.39 [0.34, 0.45] vs. 0.54 median [IQR]: 0.54 [0.52, 0.57]; P < 0.001). ConclusionsInteractions among the various stages of abnormal adiposity, dysglycemia, and hypertension with each other are weaker with increasing neighborhood disadvantage. Factors related to neighborhood-level disadvantage, other than abnormal adiposity, might play a crucial role in the development of dysglycemia and hypertension.

Exploring Stress and Coping in Caregivers of Children with Pulmonary Vein Stenosis: A Mixed-Method Study.

(1) Background: This mixed-method study aims to identify and describe factors associated with acute and long-term parenting stressors and coping strategies in caregivers of children with intraluminal pulmonary vein stenosis (PVS). (2) Methods: Parents of children with severe PVS were recruited from a large quaternary hospital to complete a survey that included demographics, the Pediatric Inventory for Parents (PIP), and the Coping Health Inventory for Parents (CHIP). We determined the Social Vulnerability Index (SVI) based on self-reported home address. A subset of caregivers completed a 60 min semi-structured interview via Zoom exploring the impact their child's diagnosis had on their family; experience managing stress in the hospital and at home; current resources and processes for coping; and potential recommendations for hospitals to build resilience and coping. We used multivariable linear regression to examine the association between SVI and parental stress and coping while adjusting for possible confounders. Thematic analysis identified themes related to stress and coping. Finally, we assessed instances of convergence and difference between the qualitative and quantitative results. (3) Results: Participants included 32 caregivers who were 91% female with a mean age of 39 years. The children of participants were 66% female, with a mean age of five years. The parents reported a high amount of stress with an average PIP score of 120, nearly 46 points higher than similar studies in the congenital heart community. We observed no significant associations between SVI and either parental stress or coping in adjusted models. We identified 13 themes, including medical care, hospital, family, support systems, and home medical routine or support. (4) Conclusions: Our study found high levels of illness-related parental stress among caregivers of children with PVS. Stress evolved over time from what caregivers described as 'survival mode' to a future-oriented outlook. Currently, caregivers rely heavily on support networks that are not available to all caregivers or may experience strain over time. Caregivers indicated that communication and parental role functioning were coping strategies that could be better supported by providers and health systems.

Short-term exposure to ambient fine particulate matter constituents and myocardial infarction mortality

Short-term ambient fine particulate matter (PM2.5) exposure has been related to an increased risk of myocardial infarction (MI) death, but which PM2.5 constituents are associated with MI death and to what extent remain unclear. We aimed to explore the associations of short-term exposure to PM2.5 constituents with MI death and evaluate excess mortality. We conducted a time-stratified case-crossover study on 237,492 MI decedents in Jiangsu province, China during 2015–2021. Utilizing a validated PM2.5 constituents grid dataset at 1 km spatial resolution, we estimated black carbon (BC), organic carbon (OC), sulfate (SO42−), nitrate (NO3−), ammonium (NH4+), and chloride (Cl−) exposure by extracting daily concentrations grounding on the home address of each subject. We employed conditional logistic regression models to evaluate the exposure-response relationship between PM2.5 constituents and MI death. Overall, per interquartile range (IQR) increase of BC (lag 06-day; IQR: 1.75 μg/m3) and SO42− (lag 04-day; IQR: 5.06 μg/m3) exposures were significantly associated with a 3.91% and 2.94% increase in odds of MI death, respectively, and no significant departure from linearity was identified in the exposure-response curves for BC and SO42−. If BC and SO42− exposures were reduced to theoretical minimal risk exposure concentration (0.89 μg/m3 and 1.51 μg/m3), an estimate of 4.55% and 4.80% MI deaths would be avoided, respectively. We did not find robust associations of OC, NO3−, NH4+, and Cl− exposures with MI death. Individuals aged ≥80 years were more vulnerable to PM2.5 constituent exposures in MI death (p for difference <0.05). In conclusion, short-term exposure to PM2.5-bound BC and SO42− was significantly associated with increased odds of MI death and resulted in extensive excess mortality, notably in older adults. Our findings emphasized the necessity of reducing toxic PM2.5 constituent exposures to prevent deaths from MI and warranted further studies on the relative contribution of specific constituents.

Impact of socioeconomic status on open globe injuries during the COVID-19 pandemic.

We explored the associations between socioeconomic status, as evaluated by the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index (SVI), and characteristics of open globe injury (OGI) in a Level I trauma center during the COVID-19 pandemic. Retrospective review of electronic medical records of patients who underwent OGI evaluation and repair at Harborview Medical Center between March/2017 and March/2021. Demographic data and patient characteristics were recorded. The SVI was obtained based on the patient's home address. Patients were grouped into the "historical" (pre-COVID) cohort, including dates from March 2017 - March 2020, and the "COVID" cohort, including dates from March 2020 - March 2021. 318 patients (77.4% male) were included. Average ± S.D. age (years) and SVI scores were 44.7 ± 22.7 and 0.413 ± 0.195, respectively. SVI scores were significantly higher (more vulnerable) during the COVID-19 pandemic compared to years prior (p = 0.017), however when compared to scores for the same patients prior to the pandemic, no difference was found (p = 0.609). There was no significant difference between intentional and non-intentional trauma, work-related injuries, OGI type, presence of endophthalmitis, or ocular trauma score (p ≥ 0.293). Still, significantly fewer motor vehicle-associated (MVA) OGIs occurred during the pandemic (p = 0.041). Patients with OGI during the COVID-19 pandemic had higher SVI scores, however when considering the overall effect of the pandemic, our findings are likely reflective of the societal changes at large. There was no identifiable impact on the mechanisms or characteristics of ocular injuries, except for fewer MVA injuries.

Neighborhood-Level Social Determinants of Health and Presenting Characteristics for Rhegmatogenous Retinal Detachments

Functional outcomes after repair of rhegmatogenous retinal detachments (RRDs) are highly dependent on baseline visual acuity and foveal status. Adverse social determinants of health (SDOH) can present barriers to timely presentation for repair and limit vision outcomes. To evaluate the association between neighborhood-level SDOH with baseline severity (visual acuity and fovea status) of RRD. This was a retrospective cohort study that included adult patients 18 years and older who underwent primary repair of uncomplicated RRD at the Wilmer Eye Institute from January 2008 to December 2018. Study data were analyzed from December 2023 to April 2024. The census block group of patient home addresses were matched to multiple neighborhood-level SDOH including the Area Deprivation Index (ADI), per capita income, percentage of renters, percentage of rent burden, percentage of people using a food assistance program, percentage of uninsured individuals, mode of transportation to work, distance to the nearest transit stop, total road density, National Walkability Index, Index of Medical Underservice score, and aggregate cost of medical care. Odds of presenting with vision worse than 20/40 or fovea-involving RRD using multivariable logistic regression adjusting for age, sex, race and ethnicity, and insurance. A total of 700 patients (mean [SD] age, 57.9 [12.4] years; 432 male [61.7%]) were included. Every decile increase in ADI, indicating more socioeconomic disadvantage, was associated with an increased odds of presenting with worse visual acuity and fovea-involving RRD (odds ratio [OR], 1.14; 95% CI, 1.04-1.24; P = .004 and OR, 1.13; 95% CI, 1.04-1.22; P = .005, respectively). Each $1000 increase in per capita income was associated with lower odds of presenting with worse vision (OR, 0.99; 95% CI, 0.98-0.99; P = .001). Every 1% increase in percentage of workers who drove to work was associated with an increased odds of presenting with worse vision and fovea-involving RRD (OR, 1.02; 95% CI, 1.01-1.03; P = .005 and OR, 1.01; 95% CI, 1.00-1.03; P = .04, respectively). Results of this cohort study suggest that patients with a residence in neighborhoods with more socioeconomic deprivation or a higher percentage of workers who drove to work were more likely to present with more severe RRD even after accounting for multiple individual-level characteristics. These findings support consideration of public policy changes to address the barriers faced by patients residing in certain neighborhoods who seek prompt surgical intervention for RRD to reduce health disparities in RRD outcomes.

Understanding the relationship between limited neighbourhood food access and health outcomes of children with obesity.

Childhood obesity is a growing worldwide epidemic that requires a biopsychosocial treatment approach to achieve a healthy lifestyle. This study on children in a weight management program examines the relationship between obesity, disease complications, and social determinants of health. We expect that children with higher degrees of obesity are more likely to live in areas lacking access to healthy food and have similar behavioural and socioeconomic characteristics. Program participants were identified by neighbourhood food access status based on their home address. The prevalence of comorbidities in the participants was analyzed according to neighbourhood food accessibility. Multivariate regressions evaluated the association between participants' health outcomes and their sociodemographic and geographical characteristics. A total of 283 (98.3%) participants had a BMI ≥95th percentile for their age and sex and 68 (23.6%) lived in neighbourhoods with limited food access. Almost a third (Adj. R2 = 0.3302; p < 0.01) of the variability in study population's BMI was driven by sociodemographic factors, self-reported eating and physical activity behaviours, and had a positive relationship with access to healthy food. Nonetheless, HbA1c had a negative relationship with access to healthy food given the limited variation in the sample of participants with HbA1c levels indicating diabetes. Children living in neighbourhoods with limited food access had higher BMIs than other program participants. Thus, it is critical to identify children with limited neighbourhood food accessibility and promote societal and legislative change to improve access to healthy food.

Understanding the Social Risk Factors That Avert Equitable Lung Cancer Care

BackgroundLung cancer remains the leading cause of cancer death in the United States. There is an association between certain social determinants of health (SDOH) and adverse cancer outcomes. These include Black race and low-income, which are associated with poorer adherence to lung cancer screening and presentation at a later stage of disease. MethodsWe conducted a retrospective review of all patients with a diagnosis of lung cancer at a single urban, academic center from 2015 to 2021. Demographic data including race and clinical data including time taken to progress through various checkpoints (ie, concerning CT scan to diagnosis, diagnosis to treatment) were collected. Income data was approximated based on population medians at patient's home address zip code. ResultsA total of 550 patients were included in the final analysis. The study population was 57.4% Black and 61.2% of patients presenting with a household income of $40,000 US Dollars or lower based on approximated median household income. The time from CT scan to first treatment for the entire cohort was 121.3 days with no statistically significant variance by race. However, among patients presenting at stage IV, 72.7% were black and 76.0% resided in a zip code with a median income < $40,000. ConclusionsThis study demonstrated no significant delays in progressing through checkpoints of lung cancer diagnosis and treatment on the basis of race or income approximation. Black patients and patients in low-income households were diagnosed with lung cancer at a more advanced stage. Efforts to close the gap in lung cancer disparities should be focused on targeting screening and early identification toward social groups that may be at highest risk of late presentation. Institutional focus on patient navigation through these stages should be paramount. Tweetable AbstractThere were no delays in progression to lung cancer diagnostic and therapeutic milestones based on race or income approximation. Black race and residing in a low-income area are predictors for presenting at stage IV.

Neighborhood Resources Associated With Psychological Trajectories and Neural Reactivity to Reward After Trauma

Research on resilience after trauma has often focused on individual-level factors (eg, ability to cope with adversity) and overlooked influential neighborhood-level factors that may help mitigate the development of posttraumatic stress disorder (PTSD). To investigate whether an interaction between residential greenspace and self-reported individual resources was associated with a resilient PTSD trajectory (ie, low/no symptoms) and to test if the association between greenspace and PTSD trajectory was mediated by neural reactivity to reward. As part of a longitudinal cohort study, trauma survivors were recruited from emergency departments across the US. Two weeks after trauma, a subset of participants underwent functional magnetic resonance imaging during a monetary reward task. Study data were analyzed from January to November 2023. Residential greenspace within a 100-m buffer of each participant's home address was derived from satellite imagery and quantified using the Normalized Difference Vegetation Index and perceived individual resources measured by the Connor-Davidson Resilience Scale (CD-RISC). PTSD symptom severity measured at 2 weeks, 8 weeks, 3 months, and 6 months after trauma. Neural responses to monetary reward in reward-related regions (ie, amygdala, nucleus accumbens, orbitofrontal cortex) was a secondary outcome. Covariates included both geocoded (eg, area deprivation index) and self-reported characteristics (eg, childhood maltreatment, income). In 2597 trauma survivors (mean [SD] age, 36.5 [13.4] years; 1637 female [63%]; 1304 non-Hispanic Black [50.2%], 289 Hispanic [11.1%], 901 non-Hispanic White [34.7%], 93 non-Hispanic other race [3.6%], and 10 missing/unreported [0.4%]), 6 PTSD trajectories (resilient, nonremitting high, nonremitting moderate, slow recovery, rapid recovery, delayed) were identified through latent-class mixed-effect modeling. Multinominal logistic regressions revealed that for individuals with higher CD-RISC scores, greenspace was associated with a greater likelihood of assignment in a resilient trajectory compared with nonremitting high (Wald z test = -3.92; P < .001), nonremitting moderate (Wald z test = -2.24; P = .03), or slow recovery (Wald z test = -2.27; P = .02) classes. Greenspace was also associated with greater neural reactivity to reward in the amygdala (n = 288; t277 = 2.83; adjusted P value = 0.02); however, reward reactivity did not differ by PTSD trajectory. In this cohort study, greenspace and self-reported individual resources were significantly associated with PTSD trajectories. These findings suggest that factors at multiple ecological levels may contribute to the likelihood of resiliency to PTSD after trauma.

Is the availability and quality of local early childhood education and care services associated with young children's mental health at school entry?

PurposeThis study investigated the relationship between geographic availability (and quality) of local early childhood education and care services and children's early mental health outcomes for all children entering their first year of full-time school in Melbourne, Australia. MethodsWe capitalise on a unique population linked dataset, the Australian Early Development Census – Built Environment, which combines geospatial measures of children's neighbourhoods with demographic information and child mental health outcomes for all school entrants in Australia's 21 most populous cities and towns. Objective early childhood education and care service location and quality exposures were developed for each study child based on home addresses. Four geographic availability exposures (counts within 3 km) were examined for cross-sectional associations with child mental health outcomes (externalising and internalising difficulties, competence). We estimated associations using multilevel logistic regression (Markov Chain Monte Carlo estimation) adjusting for child demographics and stratifying by urbanicity. ResultsChildren with higher counts of high-quality preschool services within 3 km of home had lower odds of difficulties and higher odds of competence. Overall, exposures were most consistently associated with children's competence. Across all outcomes, the most consistent patterning was observed for children living in the inner city and middle ring. Results varied depending on whether service quality was accounted for in measures of availability. Geographic availability of early childhood services showed patterning by neighbourhood disadvantage and by maternal education. ConclusionWe found some evidence that geographic availability of high-quality preschools was associated with better child mental health outcomes, but results varied by urbanicity. While future research is required to unpack these differences, these findings indicate the importance of accounting for both geographic availability and service quality simultaneously in future research, policy and practice.

Towards a home-grown rural health workforce: Evidence from Tasmania, Australia.

To examine the association between place of origin and principal place of practice (PPP) of domestic Tasmanian health graduates who received end-to-end training with the University of Tasmania (UTAS). The 2022 PPP for all UTAS domestic Tasmanian graduates from medicine, nursing, pharmacy, psychology, medical radiation science and paramedicine between 2011 and 2020 was identified using the online Australian Health Practitioner Regulation Agency (Ahpra) registration database. The graduate's place of origin (home address at the time of course application), together with their 2022 PPP, was described using the Modified Monash Model (MM) classification system of remoteness. Data were analysed using STATA. Over the 10-year period, 4079 domestic Tasmanians graduated from health courses at UTAS, of which 3850 (94.4%) were matched to an Australian PPP. In all, 78.3% of graduates were working in Tasmania, while the remainder (21.7%) were employed interstate. Of those with a Tasmanian PPP, 81.4% were working in a regional setting (MM2), while 77.6% of interstate employed graduates recorded a metropolitan (MM1) PPP. Rural place of origin (MM3-7) was associated with rural employment (MM3-7) in both Tasmania (OR, 37.08; 95% CI 29.01-47.39, p < 0.001), and on the Australian mainland (OR, 21.4; 95% CI 17.4-26.3, p < 0.001). Most domestic Tasmanian origin UTAS health graduates contribute to the state's health workforce after qualifying. Further research is needed to explore PPP over time and to understand why some graduates are motivated to seek employment on the Australian mainland and in particular, metropolitan cities.

Association of air pollution with incidence of end-stage kidney disease in two large European cohorts

End-stage kidney disease (ESKD) poses a high burden on patients and health systems. While numerous studies indicate an association between air pollution and chronic kidney disease, studies on ESKD are rare. We investigated the association of long-term exposure to nitrogen dioxide (NO₂), fine particulate matter (PM2.5), black carbon (BC) and ozone (O3) with ESKD incidence in two large population-based European cohorts.We followed individuals in the Austrian Vorarlberg Health Monitoring and Promotion Program (VHM&PP) and the Italian Rome Longitudinal Study (RoLS) using dialysis and kidney transplant registries.Long-term exposure to pollutants was estimated at the home address using Europe-wide land use regression models at 100x100m scale. Hazard ratios (HR) were determined from Cox-proportional hazard models adjusted for individual and neighbourhood level confounders.We observed 501 events among 136,823 individuals in VHM&PP (mean age 42.1 years; crude incidence rate (IR) 0.14 per 1000 person-years) and 3231 events among 1,939,461 individuals in RoLS (mean age 52.4 years; IR 0.22 per 1000 person-years). In VHM&PP, there was no evidence of an association between PM2.5 or O3 and ESKD. There were elevated HRs but with large confidence intervals for BC (HR 1.17 [95 % confidence interval (CI): 0.98, 1.39] for 0.5*10−5/m), and for NO₂ (HR 1.14 [95%CI: 0.96, 1.35] for 10 μg/m3). In RoLS, ESKD was associated with PM2.5 (HR 1.37 [95 % CI: 1.06, 1.76] for an increase of 5 μg/m3), while there was no evidence of association with BC, NO2, or O3 exposure.Our study suggests an association of air pollution with ESKD incidence, which differed between the two cohorts and may possibly be influenced by respective air pollution mixtures.