Higher Area Deprivation Research Articles

Low Socioeconomic Indicators Correlate with Critical Pre-Operative Glenoid Bone Loss and Care Delays

BackgroundChronic and recurrent shoulder dislocations prior to stabilization can increase the risk of glenoid bone loss. Glenoid bone loss exceeding critical levels can lead to further instability and decreased outcomes following arthroscopic labral repair. Indicators of low socioeconomic status (SES), such as high Area Deprivation Index (ADI) and non-commercial insurance, are related to generalized delays to orthopedic care, which can cause recurrent instability and increase glenoid bone loss. Hypothesis/PurposeHigher national ADI and non-commercial insurance would be associated with greater levels of radiographic glenoid bone loss after glenoid instability. MethodsA retrospective study was performed with patients who underwent anterior labral repair. Chart review included demographics, course of care data, preoperative instability data, national ADI, and insurance status. The Neighborhood Atlas Website and patients’ home addresses were used to obtain national ADI. Glenoid bone loss was measured using the Best-fit circle Pico method on three-dimensionally aligned magnetic resonance images (MRIs). Researchers were blinded to SES indicators during radiographic analysis. Glenoid bone loss was compared between SES indicators using one-way ANOVAs. Results146 patients met inclusion criteria and had complete datasets (23.3% female; 22.4±7.0-years-old; national ADI=16.1±15.3). Patients experienced on average 9.12±6.63% glenoid bone loss. A curve fitting tool determined a quadratic non-linear regression best characterized the association of glenoid bone loss and ADI (R2 = 0.392, p < 0.001). Individuals with commercial insurance experienced 8.58%±6.69% glenoid bone loss as compared to 11.78%±6.30% in individuals with Medicaid insurance (p=0.03). Critical bone loss at a threshold of 13.5% was more likely with higher national ADI (p<0.001) and Medicaid insurance (OR=2.49, CI=1.02-6.09). However, only national ADI was predictive of subcritical bone loss at a threshold of 10% (p<0.001). ConclusionPatients with greater national ADI and Medicaid insurance status had greater rates of critical preoperative glenoid bone loss at a threshold of 13.5%. Greater national ADI is also predictive of subcritical glenoid bone loss at a threshold of 10% and overall glenoid bone loss. Further study is needed to assess the postoperative implications of these findings in this population.

Disparities in Spatial Access to Sleep Health Care in the United States: A Population-Based Geospatial Analysis

ObjectivesTo examine spatial access to sleep health care in the United States and investigate associations with demographic and socioeconomic characteristics, thereby identifying high-risk communities with limited spatial access to sleep health service. DesignA cross-sectional population-based geospatial analysis. Settings and ParticipantsResidents in US Census tracts across the 48 contiguous states, Alaska, and Hawaii. MethodsThe 2020 American Community Survey 5-year estimates, 2010 rural-urban commuting area codes, 2020 Area Deprivation Index, and sleep care provider locations from the National Provider Identifier file were used to assess the spatial access and related demographic/socioeconomic characteristics. Spatial access was measured by spatial access ratio using enhanced 2-step floating catchment area methods. The associations were investigated using logistic regression analysis and multivariate linear regression analysis. ResultsA total of 45.8 million residents experienced low spatial access to sleep health care. Spatial access decreased in rural and high Area Deprivation Index areas, and in areas characterized by higher population with uninsured status, vehicle unavailability, internet unavailability, cognitive difficulties, and hearing difficulties. With a 10% increase in the percentage of the racial minority (non-white) population, metropolitan census tracts experienced an increase in spatial access (3.268%), whereas micropolitan (−1.526%) and rural (−4.493%) areas experienced a decrease in spatial access. Similar findings were observed within the ethnic minority (Hispanic or Latino) population. Conclusions and ImplicationsDisparities exist in spatial access to sleep health care across the United States, especially for disadvantaged individuals. Racial/ethnic minorities exhibit contrasting spatial access patterns in urban and rural areas, with those in rural areas facing more challenges in spatial access to sleep health care.

The Effect of Social Drivers of Health on 90-Day Readmission Rates and Costs After Primary Total Hip and Total Knee Arthroplasty.

The effect of social drivers of health (SDOH) on readmissions and costs after total hip arthroplasty (THA) and total knee arthroplasty (TKA) is poorly understood. Policies such as the Hospital Readmissions Reduction Program have targeted overall readmission reduction, using value-based strategies to improve healthcare quality. However, the implications of SDOH on these outcomes are not yet understood. We hypothesized that the area deprivation index (ADI) as a surrogate for SDOH would markedly influence readmission rates and healthcare costs in the 90-day postprocedural period for THA and TKA. We used the 100% US fee-for-service Medicare claims data from 2019 to 2021. Patients were identified using diagnosis-related groups. Our primary outcomes included 90-day unplanned readmission after hospital discharge and cost of care, treated as "high cost" if > 1 standard deviation above the mean. The relationships between ADI and primary outcomes were estimated with logistic regression models. A total of 628,399 patients were included in this study. The mean age of patients was 75.6, 64% were female, and 7.8% were dually eligible for Medicaid. After full covariate adjustment, readmission was higher for patients in more deprived areas (high Area Deprivation Index (ADI)) (low socioeconomic status (SES) group OR: 1.30 [95% confidence intervals 1.23, 1.38]). ADI was associated with high cost before adjustment (low SES group odds ratio 1.08 [95% confidence intervals 1.04, 1.11], P < 0.001), although, after adjustment, this association was lost. This analysis highlights the effect of SDOH on readmission rates after THA and TKA. A nuanced understanding of neighborhood-level disparities may facilitate targeted strategies to reduce avoidable readmissions in orthopaedic surgery. Regarding cost, although there is some association between ADI and cost, this study may illustrate that ADI for THA and TKA is not sufficiently granular to identify the contribution of social drivers to elevated costs.

High Area Deprivation Index is Associated With Discharge to Foster Care in Pediatric Patients With Non-accidental Trauma

BackgroundOutcomes after non-accidental trauma (NAT) have been shown to be impacted by social determinants of health. Our study aims to investigate the association between NAT, patient demographics, neighborhood disadvantage as measured by the Area Deprivation Index (ADI), and patient disposition. MethodsAn 8-year retrospective chart review was conducted in pediatric patients presenting to our level I trauma center with suspected NAT. Patient demographics, ADI, injury severity score (ISS), Glasgow coma scale (GCS), length of stay, and discharge disposition were analyzed using univariate and multivariate techniques to evaluate associations between patient demographics, injury severity, and patient outcomes. ResultsA total of 84 patients were admitted with suspected NAT. Of our study population, 45% of patients were White and 26% were Black. Black children were overrepresented in this cohort compared to general population means, while White children were underrepresented (p < 0.05). Median ADI was 6.5 (IQR 4.0–8.0). Of our cohort, 65 patients were discharged home, and 18 patients to foster care. One patient in our cohort died. An ADI >6 was the only factor significantly associated with discharge to foster care. This association held on both univariate (OR 1.4; 95% CI 1.07–1.84, p = 0.02) and multivariate (OR 1.4; 95% CI 1.05–1.86, p = 0.02) analyses. ConclusionOur study found that neighborhood disadvantage, as measured by ADI, is an independent predictor of discharge to foster care. Additionally, Black children remain over-represented in the NAT population referred to our institution, including those discharged to foster care. Efforts to address healthcare disparities and community-based NAT prevention and reunification programs are necessary. Type of StudyPrognosis Study (Retrospective Case-Control Study). Level of EvidenceLevel III.

CORR Insights®: High Area Deprivation Index is Associated With Not Achieving the Patient-acceptable Symptom State After TKA.

CORR Insights®: High Area Deprivation Index is Associated With Not Achieving the Patient-acceptable Symptom State After TKA.

Limited Access to Aortic Valve Procedures in Socioeconomically Disadvantaged Areas.

To explore how differences in local socioeconomic deprivation impact access to aortic valve procedures and the treatment of aortic valve disease, in comparison to other open and minimally invasive surgical procedures. Procedure volume data were obtained from the Healthcare Cost and Utilization Project from 18 states from 2016 to 2019 and merged with area deprivation index data, an index of zip code-level socioeconomic distress. We estimate the relationship between local deprivation ranking and differences in volumes of aortic valve replacement, which include transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR), versus coronary artery bypass graft surgery and laparoscopic colectomy (LC). All regressions control for state and year fixed effects and an array of zip code-level characteristics. TAVR procedures have increased over time across all zip codes. The rate of increase is negatively correlated with deprivation ranking, regardless of the higher share of hospitalizations per population in high deprivation areas. Distributional analysis further supports these findings, showing that lower area deprivation index areas account for a disproportionately large share of SAVR, TAVR, and LC procedures in our sample relative to their share of all hospitalizations in our sample. By comparison, the cumulative distribution of coronary artery bypass graft procedures was nearly identical to that of total hospitalizations, suggesting that this procedure is equitably distributed. Regressions show high area deprivation index areas have lower prevalence of SAVR (β=-15.1%, [95% CI, -26.8 to -3.5]), TAVR (β=-9.1%, [95% CI, -18.0 to -0.2]), and LC (β=-19.9%, [95% CI, -35.4 to -4.4]), with no statistical difference in the prevalence of coronary artery bypass graft (β=-2.5%, [95% CI, -12.7 to 7.6]), a widespread and commonly performed procedure. In the population aged ≥80 years, results show high area deprivation index areas have a lower prevalence of TAVR (β=-11.9%, [95% CI, -18.7 to -5.2]) but not SAVR (β=-0.8%, [95% CI, 8.1 to 6.3]), LC (β=-3.5%, [95% CI, -13.4 to -6.4]), or coronary artery bypass graft (β=5.2%, [95% CI, -1.1 to 1.1]). People living in high deprivation areas have less access to life-saving technologies, such as SAVR, and even moreso to device-intensive minimally invasive procedures such as TAVR and LC.

High Area Deprivation Index Is Associated With an Increased Risk of Button Battery Ingestion in a Pediatric Cohort

High Area Deprivation Index Is Associated With an Increased Risk of Button Battery Ingestion in a Pediatric Cohort

Factors Associated with Antihypertensive Therapy Prescription in Youth Delaware Medicaid Recipients with Primary Hypertension Diagnosis.

Higher neighborhood deprivation is associated with hypertension diagnosis in youth. In this study, we assess if there is an association between neighborhood deprivation and antihypertensive therapy prescription among insured youth with a primary hypertension diagnosis. Using a retrospective cross-sectional design, we assessed the proportion of youth with a diagnosis of primary hypertension prescribed antihypertensive therapy. We evaluated the proportion of youth prescribed antihypertensive therapy and compared prescribing patterns by area deprivation index (ADI), age, sex, obesity diagnosis, race, ethnicity, and duration of Medicaid coverage. Of the 65,452 non-pregnant Delaware Medicaid recipients, 8-18 years of age, 1,145 (1.7%) had an International classification of diseases (ICD)-9/ICD-10 diagnosis of primary hypertension; 165 of the 1,145 (14%) were prescribed antihypertensive therapy. Factors associated with a greater odds of prescription by multivariable logistic regression were age, obesity diagnosis, and duration of Medicaid full benefit coverage. Odds of antihypertensive therapy prescription did not vary by race, ethnicity, or ADI. Antihypertensive therapy prescription rates are poor despite national guideline recommendations. Among youth receiving Delaware Medicaid between 2014 and 2019, prescription proportions were highest among youth of older age, with an obesity diagnosis, and among youth with longer duration of Medicaid benefit coverage. Although high area deprivation has been shown to be associated with the diagnosis of hypertension, high vs. low area deprivation was not associated with greater antihypertensive therapy prescription among youth with primary hypertension. Our finding of a mismatch between hypertension diagnosis and antihypertensive therapy prescription highlights a potential disparity in antihypertensive therapy prescription in youth.

The Epidemiology of Domain-Specific Physical Activity in New Zealand Adults: A Nationally Representative Cross-Sectional Survey.

Surveillance of domain-specific physical activity (PA) helps to target interventions to promote PA. We examined the sociodemographic correlates of domain-specific PA in New Zealand adults. A nationally representative sample of 13,887 adults completed the International PA Questionnaire-long form in 2019/20. Three measures of total and domain-specific (leisure, travel, home, and work) PA were calculated: (1)weekly participation, (2)mean weekly metabolic energy equivalent minutes (MET-min), and (3)median weekly MET-min among those who undertook PA. Results were weighted to the New Zealand adult population. The average contribution of domain-specific activity to total PA was 37.5% for work activities (participation = 43.6%; median participating MET-min = 2790), 31.9% for home activities (participation = 82.2%; median participating MET-min = 1185), 19.4% for leisure activities (participation = 64.7%; median participating MET-min = 933), and 11.2% for travel activities (participation = 64.0%; median MET-min among participants = 495). Women accumulated more home PA and less work PA than men. Total PA was higher in middle-aged adults, with diverse patterns by age within domains. Māori accumulated less leisure PA than New Zealand Europeans but higher total PA. Asian groups reported lower PA across all domains. Higher area deprivation was negatively associated with leisure PA. Sociodemographic patterns varied by measure. For example, gender was not associated with total PA participation, but men accumulated higher MET-min when taking part in PA than women. Inequalities in PA varied by domain and sociodemographic group. These results should be used to inform interventions to improve PA.

Neighborhood Socioeconomic Disadvantage and Abnormal Birth Weight.

To examine whether exposure to community or neighborhood socioeconomic disadvantage as measured by the ADI (Area Deprivation Index) is associated with risk of abnormal birth weight among nulliparous individuals with singleton gestations. This was a secondary analysis from the prospective cohort NuMoM2b study (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be). Participant addresses at cohort enrollment between 6 and 13 weeks of gestation were geocoded at the Census tract level and linked to the 2015 ADI. The ADI, which incorporates the domains of income, education, employment, and housing quality into a composite national ranking of neighborhood socioeconomic disadvantage, was categorized by quartiles (quartile 1, least disadvantaged, reference; quartile 4, most disadvantaged). Outcomes were large for gestational age (LGA; birth weight at or above the 90th percentile) and small for gestational age (SGA; birth weight below the 10th percentile) compared with appropriate for gestational age (AGA; birth weight 10th-90th percentile) as determined with the 2017 U.S. natality reference data, standardized for fetal sex. Multinomial logistic regression models were adjusted for potential confounding variables. Of 8,983 assessed deliveries in the analytic population, 12.7% (n=1,143) were SGA, 8.2% (n=738) were LGA, and 79.1% (n=7,102) were AGA. Pregnant individuals living in the highest ADI quartile (quartile 4, 17.8%) had an increased odds of delivering an SGA neonate compared with those in the lowest referent quartile (quartile 1, 12.4%) (adjusted odds ratio [aOR] 1.32, 95% CI 1.09-1.55). Pregnant individuals living in higher ADI quartiles (quartile 2, 10.3%; quartile 3, 10.7%; quartile 4, 9.2%) had an increased odds of delivering an LGA neonate compared with those in the lowest referent quartile (quartile 1, 8.2%) (aOR: quartile 2, 1.40, 95% CI 1.19-1.61; quartile 3, 1.35, 95% CI 1.09-1.61; quartile 4, 1.47, 95% CI 1.20-1.74). Neonates of nulliparous pregnant individuals living in U.S. neighborhoods with higher area deprivation were more likely to have abnormal birth weights at both extremes.

Liver transplantation access and outcomes: Impact of variations in liver-specific specialty care

BackgroundWe sought to characterize the impact access to gastroenterologists/hepatologists has on liver transplantation listing, as well as time on the liver transplantation waitlist and post-transplant outcomes. MethodsLiver transplantation registrants aged >18 years between January 1, 2004 and December 31, 2019 were identified from the Scientific Registry of Transplant Recipients Standard Analytic Files. The liver transplantation registration ratio was defined as the ratio of liver transplant waitlist registrations in a given county per 1,000 liver-related deaths. ResultsA total of 150,679 liver transplantation registrants were included. Access to liver transplantation centers and liver-specific specialty physicians varied markedly throughout the United States. Of note, the liver transplantation registration ratio was lower in counties with poor access to liver-specific care versus counties with adequate access (poor access 137.2, interquartile range 117.8–163.2 vs adequate access 157.6, interquartile range 127.3–192.2, P < .001). Among patients referred for liver transplantation, the cumulative incidence of waitlist mortality and post-transplant graft survival was comparable among patients with poor versus adequate access to liver-specific care (both P > .05). Among liver transplantation recipients living in areas with poor access, after controlling for recipient and donor characteristics, cold ischemic time, and model for end-stage liver disease score, the area deprivation index predicted graft survival (referent, low area deprivation index; medium area deprivation index, hazard ratio 1.52, 95% confidence interval 1.03–12.23; high area deprivation index, 1.45, 95% confidence interval 1.01–12.09, both P < .05). ConclusionPoor access to liver-specific care was associated with a reduction in liver transplantation registration, and individuals residing in counties with high social deprivation had worse graft survival among patients living in counties with poor access to liver-specific care.

Differential Treatment and Outcomes for Patients With Heart Attacks in Advantaged and Disadvantaged Communities.

Background Racially and ethnically minoritized groups, people with lower income, and rural communities have worse access to percutaneous coronary intervention (PCI) than their counterparts, but PCI hospitals have preferentially opened in wealthier areas. Our study analyzed disparities in PCI access, treatment, and outcomes for patients with acute myocardial infarction based on the census-derived Area Deprivation Index. Methods and Results We obtained patient-level data on 629 419 patients with acute myocardial infarction in California between January 1, 2006 and December 31, 2020. We linked patient data with population characteristics and geographic coordinates, and categorized communities into 5 groups based on the share of the population in low or high Area Deprivation Index neighborhoods to identify differences in PCI access, treatment, and outcomes based on community status. Risk-adjusted models showed that patients in the most advantaged communities had 20% and 15% greater likelihoods of receiving same-day PCI and PCI during the hospitalization, respectively, compared with patients in the most disadvantaged communities. Patients in the most advantaged communities also had 19% and 16% lower 30-day and 1-year mortality rates, respectively, compared with the most disadvantaged, and a 15% lower 30-day readmission rate. No statistically significant differences in admission to a PCI hospital were observed between communities. Conclusions Patients in disadvantaged communities had lower chances of receiving timely PCI and a greater risk of mortality and readmission compared with those in more advantaged communities. These findings suggest a need for targeted interventions to influence where cardiac services exist and who has access to them.

Co-Occurrence of Social Risk Factors and Associated Outcomes in Patients With Heart Failure.

Background Among patients with heart failure (HF), social risk factors (SRFs) are associated with poor outcomes. However, less is known about how co-occurrence of SRFs affect all-cause health care utilization for patients with HF. The objective was to address this gap using a novel approach to classify co-occurrence of SRFs. Methods and Results This was a cohort study of residents living in an 11-county region of southeast Minnesota, aged ≥18 years with a first-ever diagnosis for HF between January 2013 and June 2017. SRFs, including education, health literacy, social isolation, and race and ethnicity, were obtained via surveys. Area-deprivation index and rural-urban commuting area codes were determined from patient addresses. Associations between SRFs and outcomes (emergency department visits and hospitalizations) were assessed using Andersen-Gill models. Latent class analysis was used to identify subgroups of SRFs; associations with outcomes were examined. A total of 3142 patients with HF (mean age, 73.4 years; 45% women) had SRF data available. The SRFs with the strongest association with hospitalizations were education, social isolation, and area-deprivation index. We identified 4 groups using latent class analysis, with group 3, characterized by more SRFs, at increased risk of emergency department visits (hazard ratio [HR], 1.33 [95% CI, 1.23-1.45]) and hospitalizations (HR, 1.42 [95% CI, 1.28-1.58]). Conclusions Low educational attainment, high social isolation, and high area-deprivation index had the strongest associations. We identified meaningful subgroups with respect to SRFs, and these subgroups were associated with outcomes. These findings suggest that it is possible to apply latent class analysis to better understand the co-occurrence of SRFs among patients with HF.

High area deprivation index is associated with increased injury severity in pediatric burn patients

BackgroundBurn injuries play a significant role in pediatric injury-related mortality and morbidity. In this study, we aim to explore the relationship between patient demographics, socioeconomic factos and burn severity in pediatric patients. MethodsPatients under age 14 hospitalized at Westchester Medical Center for burn injury between 2015 and 2021 were reviewed. Demographic variables including mechanism of burn, total body surface area (TBSA) involvement, surgical intervention, hospital length of stay (LOS), and LOS per TBSA burn were extracted. The Area Deprivation Index (ADI) was calculated to further assess socioeconomic factors. ResultsWe included 399 patients under the age of 14 hospitalized for burn injuries at our institution between 2015 and 2021. The median age was 2 (IQR 1–6) years old, and 42.6% were female. High ADI (p = 0.018), Caucasian race (p = 0.001), and flame mechanism (p < 0.001) were independently associated with burn TBSA> 5%. LOS per TBSA was shorter in the Caucasian population (p = 0.022). ConclusionIn burn injury patients, further research is necessary to investigate modifiable risk factors in individuals of Caucasian race or lower socioeconomic status to target effective prevention campaigns.

An Increase in the Use of ICD-10 Z-Codes for Social Risks and Social Needs: 2015 to 2019

Attention to 10th Revision of the International Classification of Disease (ICD-10)-CM Z-codes as a mechanism for capturing social risk has grown over the years. However, it remains unclear whether the use of Z-codes has changed over time. This study sought to examine the trends in Z-code use between their introduction in 2015 and the end of 2019 across 2 markedly different states. Using the Healthcare Cost and Utilization Project, all emergency department visits or hospitalizations at short-term general hospitals in Florida and Maryland from 2015 Q4 through 2019 were identified. This study focused on a subset of the Z-codes that are intended to capture social risk to identify the percentage of encounters with a Z-code, percentage of facilities using Z-codes, and facility median of number of encounters with a Z-code per 1000 encounters across quarters, states, and care settings. In total, 495,212 (0.84%) of 58,993,625 encounters had a Z-code. Despite Florida's higher area deprivation, Z-codes were less frequently used and increasing more slowly than when compared with those in Maryland. There were 2.1 times the use of Z-codes in Maryland than in Florida at the encounter level. This difference was also seen when evaluating the median number of encounters with a Z-code, per 1000 encounters (12.1 vs. 3.4). Z-codes were more commonly used at major teaching facilities, and for patients who were uninsured or on Medicaid. The use of ICD-10-CM Z-codes has increased over time, with this increase occurring at nearly all short-term general hospitals. Their use was higher in Maryland than in Florida and among major teaching facilities.

Proceedings from the Second Medical Summit on Firearm Injury Prevention, 2022: Creating a Sustainable Healthcare Coalition to Advance a Multidisciplinary Public Health Approach.

Proceedings from the Second Medical Summit on Firearm Injury Prevention, 2022: Creating a Sustainable Healthcare Coalition to Advance a Multidisciplinary Public Health Approach.

Abstract 87: Area Deprivation And Race Synergistically Contribute To Undiagnosed Hypertension Leading To Acute Ischemic Stroke

Background: Area deprivation is one of the leading social determinants of health and is associated with lower access to clinical care. We hypothesize that undiagnosed hypertension is more prevalent in highly deprived areas as well as in people from black race and that undiagnosed hypertension is associated with a higher risk of incident stroke. Methods: We conducted an observational study analyzing participants from the All of Us study (AoU). We identified people who meet the criteria for hypertension based on blood pressure measurements at the time of enrollment but were not known to have the condition according to EHR or survey data. We evaluated area deprivation using the Deprivation Index (DI), an aggregate variable derived from six metrics of the American Community Survey. We used multivariable logistic regression to test for interaction between tertiles of DI and race in a model predicting undiagnosed hypertension adjusting for age, sex, income, and education. Results: Out of 372,397 participants enrolled in AoU, 269,063 had data for area deprivation and blood pressure, including 6,690 (2.5%) who sustained a stroke. Compared to low area deprivation, intermediate and high deprivation were associated with 3.4% (OR 1.034, 95%CI 1.00-1.07) and 17.4% (OR 1.174, 95%CI 1.14-1.21) higher risk of undiagnosed hypertension (test-for-trend p&lt;0.0001). Compared to White participants, Black participants had a 67.4% (OR 1.674, 95%CI 1.62-1.73, p&lt;0.0001) higher risk of undiagnosed hypertension. There was significant synergy between DI and race (interaction p&lt;0.0001): compared to White participants living in areas of low deprivation, Black participants living in areas of high deprivation had 106% (OR 2.06, 95%CI 1.96-2.16, p&lt;0.0001) higher risk of undiagnosed hypertension. In the whole cohort, undiagnosed hypertension was associated with a 34% (OR 1.34, 95%CI 1.12-1.62, p=0.002) higher risk of incident stroke when adjusting for prevalent hypertension and the remaining socioeconomic factors. Conclusion: High area deprivation and Black race are associated with a higher risk of undiagnosed hypertension. Undiagnosed hypertension is associated with a higher risk of ischemic stroke after accounting for prevalent hypertension diagnosis.

Determinants of exposure to endocrine disruptors following hurricane Harvey

Hurricane Harvey was a category four storm that induced catastrophic flooding in the Houston metropolitan area. Following the hurricane there was increased concern regarding chemical exposures due to damage caused by flood waters and emergency excess emissions from industrial facilities. This study utilized personal passive samplers in the form of silicone wristbands in Houston, TX to both assess chemical exposure to endocrine disrupting chemicals (EDCs) immediately after the hurricane and determine participant characteristics associated with higher concentrations of exposure. Participants from the Houston-3H cohort (n = 172) wore a wristband for seven days and completed a questionnaire to determine various flood-related and demographic variables. Bivariate and multivariate analysis indicated that living in an area with a high Area Deprivation Index (ADI) (indicative of low socioeconomic status), identifying as Black/African American or Latino, and living in the Houston neighborhoods of Baytown and East Houston were associated with increased exposure to EDCs. These results provide evidence of racial/ethnic and socioeconomic injustices in exposure to EDCs in the Houston Metropolitan Area. Since the multiple regression models conducted did not fully explain exposure (0.047 < R2 < 0.34), more research is needed on the direct sources of EDCs within this area to create effective exposure mitigation strategies.

Geographic hot spots of kidney transplant candidates wait-listed post-dialysis.

Preemptive wait-listing of deceased donor kidney transplant (DDKT) candidates before maintenance dialysis increases the likelihood of transplantation and improves outcomes among transplant patients. Previous studies have identified substantial disparities in rates of preemptive listing, but a gap exists in examining geographic sources of disparities, particularly for sub-regional units. Identifying small area hot spots where delayed listing is particularly prevalent may more effectively inform both health policy and regionally appropriate interventions. We conducted a retrospective cohort study utilizing 2010-2020 Scientific Registry of Transplant Recipients (SRTR) data for all DDKT candidates to examine overall and race-stratified geospatial hot spots of post-dialysis wait-listing in U.S. zip code tabulation areas (ZCTA). Three geographic clustering methods were utilized to identify robust statistically significant hot spots of post-dialysis wait-listing. Novel sub-regional hot spots were identified in the southeast, southwest, Appalachia, and California, with a majority existing in the southeast. Race-stratified results were more nuanced, but broadly reflected similar patterns. Comparing transplant candidates in hot spots to candidates in non-clusters indicated a strong association between residence in hot spots and high area deprivation (OR: 6.76, 95%CI: 6.52-7.02), indicating that improving access healthcare in these areas may be particularly beneficial. Our study identified overall and race-stratified hot spots with low rates of preemptive wait list placement in the U.S., which may be useful for prospective healthcare policy and interventions via targeting of these narrowly defined geographical areas.

Head injuries in early childhood in the UK; is there a social gradient?

ObjectivesTo examine if there is a social gradient in early childhood head injuries among UK children.MethodsCross-sectional study, using data from the UK Millennium Cohort Study (MCS). The second, third and...