Neighborhood-level Socioeconomic Status Research Articles

Associations between Parental Engagement in the Neonatal Intensive Care Unit and Neighborhood-level Socioeconomic Status.

1) To determine the effect of neighborhood-level socioeconomic status (SES), which considers the social and physical environment where a person lives, on parental engagement in the Neonatal Intensive Care Unit (NICU); 2) To compare the relationships between parental engagement and individual versus neighborhood-level measures of SES. In this cohort study, parents (n=45) of premature neonates ≤ 34 weeks gestation were assessed at two and six weeks after birth from December 2017 to October 2019. Neighborhood-level SES was determined using census data per the Association of Maternal and Child Health Programs' methodology, and parents self-reported their education level as an individual-level measure of SES. Data on frequency of engagement in NICU activities, including telephone updates, visitation, providing expressed breastmilk, and participating in kangaroo care, were collected from the electronic medical record. Parent psychosocial factors were assessed using validated surveys. Statistical analysis was performed using Fisher's exact test, t-test, and logistic regression. In multivariate regression analysis, disadvantaged neighborhood-level SES was associated with decreased odds of kangaroo care (OR 0.16, 95% CI (0.03- 0.89)) and visitation (OR 0.14, 95% CI (0.02-0.87)), while lower individual-level SES was not significantly associated with kangaroo care, visiting, calling, or pumping (p > 0.05). Parental engagement was more consistently and significantly associated with neighborhood-level SES than with individual-level SES. Therefore, neighborhood-level SES measures may be more explanatory than individual-level SES measures. Further studies and targeted interventions are needed to address disparities in the frequency of kangaroo care and visitation according to SES.

The influence of neighborhood income on healthcare utilization in pediatric liver transplant.

Neighborhood contextual factors are associated with liver transplant outcomes. We analyzed associations between neighborhood-level socioeconomic status and healthcare utilization for pediatric liver transplant recipients. We merged the Pediatric Health Information System and Scientific Registry of Transplant Recipients databases and included liver transplant recipients ≤21 years hospitalized between January 2004 and May 2022. Outcomes were annual inpatient bed-days, risk of hospitalizations, and risk of liver biopsies. The primary exposure was zip code-based neighborhood income at transplant. We applied causal inference for variable selection in multivariable analysis. We modeled annual inpatient bed-days with mixed-effect zero-inflated Poisson regression, and rates of hospitalization and liver biopsy with a Cox-type proportional rate model. We included 1006 participants from 29 institutions. Children from low-income neighborhoods were more likely to be publicly insured (67% vs. 46%), Black (20% vs. 12%), Hispanic (30% vs. 17%), and have higher model for end-stage liver disease/pediatric end-stage liver disease model scores at transplant (17 vs. 13) than the remaining cohort. We found no differences in inpatient bed-days or rates of hospitalization across neighborhood groups. In univariable analysis, low-income neighborhoods were associated with increased rates of liver biopsy (RR: 1.57, 95% CI: 1.04-2.34, p = 0.03). These findings persisted after adjusting for insurance, race, and ethnicity (RR: 1.86, 95% CI: 1.23-2.83, p < 0.01). Children from low-income neighborhoods undergo more liver biopsies than other children. These procedures are invasive and potentially preventable. In addition to improving outcomes, interventions to mitigate health inequities among liver transplant recipients may reduce resource utilization.

Differential effects of obesity on perioperative outcomes in renal cell carcinoma patients based on race and ethnicity and neighborhood-level socioeconomic status.

Obesity is a well-established risk factor of renal cell carcinoma (RCC), however the impact of obesity on surgical outcomes for racial and ethnic minority patients with RCC is unclear. This study investigated whether a higher body mass index (BMI) or obesity (BMI ≥30 kg/m2) was associated with worse perioperative outcomes and if there were heterogeneous effects based on race, ethnicity, and neighborhood-level socioeconomic factor. In this single-center cross-sectional study, medical records of patients who underwent partial or radical nephrectomy between 2010 and 2022 were retrospectively reviewed. Logistic regression analysis was performed to assess associations of BMI and perioperative outcomes [ischemia time, estimated blood loss (EBL), and length of hospital stay]. A total of 432 patients, including 49.8% non-Hispanic White (NHW), 35.0% Hispanic, and 6.9% American Indian (AI) patients, were included. Median [interquartile range (IQR)] BMI was 30.2 (26.3-35.2) kg/m2, and Hispanic (31.5) and AI (32.5) patients had higher median BMI than NHW (29.1) patients (P=0.006). Median ischemia time, EBL, and length of hospital stay were 18.5 (IQR, 15.0-22.4) minutes, 150 (IQR, 75.0-300.0) mL, and 3 (IQR, 2-5) days. BMI ≥35 kg/m2 was associated with a longer ischemia time [>18.5 minutes; odds ratio (OR), 5.17; 95% confidence interval (CI): 1.81-14.76; P=0.002], and the association was stronger in NHW than Hispanic patients (BMI continuous OR, 1.13; 95% CI: 1.04-1.22; P=0.004 in NHW and OR, 1.07; 95% CI: 0.98-1.17; P=0.12 in Hispanics). Class I and II/III obese patients had over two-fold increased odds of a larger EBL (>150 mL) than patients with normal weight (OR, 2.17; 95% CI: 1.03-4.59; P=0.04 for class I and OR, 2.24; 95% CI: 1.04-4.84; P=0.04 for class II/III obese patients). This association was stronger in patients from neighborhoods with high social deprivation index (SDI) and in NHW patients (BMI ≥30 vs. <30 kg/m2, OR, 3.53; 95% CI: 1.57-7.97; P=0.002 in high SDI neighborhoods and OR, 2.38; 95% CI: 1.10-5.14; P=0.03 in NHW). BMI was not associated with a longer hospital stay. In this study, obesity increased likelihood of worse perioperative outcomes, and the associations varied based on race and ethnicity and neighborhood-level socioeconomic factors.

Cross-sectional associations between neighborhood characteristics, cognition and dementia risk factor burden in middle-aged and older Australians

Dementia disproportionately affects individuals from disadvantaged backgrounds, including those living in areas of lower neighborhood-level socioeconomic status. It is important to understand whether there are specific neighborhood characteristics associated with dementia risk factors and cognition which may inform dementia risk reduction interventions. We sought to examine whether greenspace, walkability, and crime associated with the cumulative burden of modifiable dementia risk factors and cognition. This was a cross-sectional analysis of 2016–2020 data from the Healthy Brain Project, a population-based cohort of community-dwelling individuals across Australia. Participants were aged 40–70 and free of dementia. Measures included greenspace (greenspace % in the local area, and distance to greenspace, n = 2,181); and intersection density (n = 1,159), and crime (rate of recorded offences; n = 1,159). Outcomes included a modified Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score to index the burden of modifiable vascular dementia risk factors; and composite scores of both memory and attention, derived from the Cogstate Brief Battery. Linear regressions adjusted for age, sex, education, and personal socio-economic status, demonstrated distance to greenspace (b ± SE per 2-fold increase = 0.09 ± 0.03, p =.005) and crime rate (b ± SE per 2-fold increase = 0.07 ± 0.03, p =.018) were associated with higher modified CAIDE. Higher crime was associated with lower memory performance (b ± SE = -0.03 ± 0.01, p =.018). The association between distance to greenspace and modified CAIDE was only present in low-moderate socioeconomic status neighborhoods (p interaction = 0.004). Dementia prevention programs that address modifiable risk factors in midlife should consider the possible role of neighborhood characteristics.

Sociobiome - Individual and neighborhood socioeconomic status influence the gut microbiome in a multi-ethnic population in the US

Lower socioeconomic status (SES) is related to increased incidence and mortality due to chronic diseases in adults. Association between SES variables and gut microbiome variation has been observed in adults at the population level, suggesting that biological mechanisms may underlie the SES associations; however, there is a need for larger studies that consider individual- and neighborhood-level measures of SES in racially diverse populations. In 825 participants from a multi-ethnic cohort, we investigated how SES shapes the gut microbiome. We determined the relationship of a range of individual- and neighborhood-level SES indicators with the gut microbiome. Individual education level and occupation were self-reported by questionnaire. Geocoding was applied to link participants’ addresses with neighborhood census tract socioeconomic indicators, including average income and social deprivation in the census tract. Gut microbiome was measured using 16SV4 region rRNA gene sequencing of stool samples. We compared α-diversity, β-diversity, and taxonomic and functional pathway abundance by SES. Lower SES was significantly associated with greater α-diversity and compositional differences among groups, as measured by β-diversity. Several taxa related to low SES were identified, especially an increasing abundance of Prevotella copri and Catenibacterium sp000437715, and decreasing abundance of Dysosmobacter welbionis in terms of their high log-fold change differences. In addition, nativity and race/ethnicity have emerged as ecosocial factors that also influence the gut microbiota. Together, these results showed that lower SES was strongly associated with compositional and taxonomic measures of the gut microbiome, and may contribute to shaping the gut microbiota.

Association of Neighborhood-Level Socioeconomic Status With Prolapse Management Decision.

This study identifies how neighborhood-level socioeconomic status (SES) may affect patients' treatment decisions for pelvic organ prolapse (POP). This study aimed to evaluate the association of neighborhood-level SES with the decision of surgical versus conservative POP management. This was a retrospective cohort study of patients newly diagnosed with POP at a tertiary medical center between 2015 and 2021. Patients lost to follow-up or poor surgical candidates were excluded. Patient characteristics, demographics, and treatment selection were abstracted from the electronic health record. Conservative management was defined as expectant, pessary, and/or pelvic floor physical therapy. Five-digit zip codes were linked to the Area Deprivation Index and used as a surrogate for neighborhood-level SES. Area Deprivation Indices were dichotomized at or below the sample median (less disadvantaged area) and above the sample median (more disadvantaged area). Logistic regression models estimated the odds of choosing surgical versus conservative management as a function of the Area Deprivation Index. A total of 459 patients met the eligibility criteria (non-Hispanic White, 88.2%). The median age was 63 years (interquartile range, 52-70 years), and the majority had stage 2 POP (65.7%). Of all patients, 59.3% had Medicare/Medicaid, 39.9% were privately insured, and 0.9% were uninsured. Furthermore, 74.7% selected surgical management, and 25.3% chose conservative management. Increasing age and higher Pelvic Organ Prolapse Quantification System stage were significantly associated with selecting surgery (P = 0.01). Women residing in a more disadvantaged area had a 67% increased odds of choosing surgical over conservative management (adjusted odds ratio, 1.67; 95% confidence interval, 1.06-2.64) after adjusting for age, race/ethnicity, body mass index, and Pelvic Organ Prolapse Quantification System stage. Residing in a more disadvantaged zip code was associated with 67% increased odds of choosing surgical versus conservative POP management.

Neighbourhood-level socioeconomic status and prevalence of teacher-reported health disorders among Canadian kindergarten children.

The evidence on the association between neighborhood-level socioeconomic status (SES) and health disorders in young children is scarce. This study examined the prevalence of health disorders in Canadian kindergarten (5-6 years old) children in relation to neighborhood SES in 12/13 Canadian jurisdictions. Data on child development at school entry for an eligible 1,372,980 children out of the total population of 1,435,428 children from 2004 to 2020, collected using the Early Development Instrument (EDI), were linked with neighborhood sociodemographic data from the 2006 Canadian Census and the 2005 Taxfiler for 2,058 neighborhoods. We examined the relationship using linear regressions. Children's HD included special needs, functional impairments limiting a child's ability to participate in classroom activities, and diagnosed conditions. The neighborhood prevalence of health disorders across Canada ranged from 1.8 to 46.6%, with a national average of 17.3%. The combined prevalence of health disorders was 16.4%, as 225,711 children were identified as having at least one health disorder. Results of an unadjusted linear regression showed a significant association between neighborhood-level SES and prevalence of health disorders (F(1, 2051) = 433.28, p < 0.001), with an R2 of 0.17. When province was added to the model, the R2 increased to 0.40 (F(12, 2040) = 115.26, p < 0.001). The association was strongest in Newfoundland & Labrador and weakest in Ontario. Our study demonstrated that the prevalence of health disorders among kindergarten children was higher in lower SES neighborhoods and varied by jurisdiction in Canada, which has implications for practice and resource allocation.

Effect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study

BackgroundAlthough mammography can significantly reduce breast cancer mortality, many women do not receive their annual breast cancer screening. Differences in screening adherence exist by race/ethnicity, socioeconomic status (SES), and insurance status. However, more detailed investigations into the impact of neighborhood disadvantage and access to resources on screening adherence are lacking.MethodsWe comprehensively examined the effect of individual social, economic, and demographic factors (n = 34 variables), as well as neighborhood level SES (nSES) indicators (n = 10 variables) on breast cancer screening adherence across a multi-ethnic population (n = 472). In this cross-sectional study, participants were surveyed from 2017 to 2018. The data was analyzed using univariate regression and LASSO for variable reduction. Significant predictors were carried forward into final multivariable mixed-effect logistic regression models where odds ratios (OR), 95% confidence intervals and p-values were reported.ResultsNineteen percent of participants were non-adherent to breast screening guidelines. Race/ethnicity was not associated with adherence; however, increasing age (OR = 0.97, 95%CI = 0.95–0.99, p = 0.01), renting a home (OR = 0.53, 95%CI = 0.30–0.94, p = 0.04), food insecurity (OR 0.46, 95%CI = 0.22–0.94, p = 0.01), and overcrowding (OR = 0.58, 95% CI = 0.32–0.94, p = 0.01) were significantly associated with lower breast cancer screening adherence.ConclusionSocioeconomic indicators at the individual and neighborhood levels impact low breast cancer screening adherence and may help to inform future screening interventions.

Association of neighborhood-level socioeconomic status and urban heat in China: Evidence from Hangzhou

The escalating contradiction between global urban development and thermal environments has become increasingly apparent, underscoring the imperative to address social inequality in heat exposure and advocate for environmental justice (EJ) in the pursuit of sustainable urban development. To bridge the research gap in this domain, a comprehensive study was conducted to examine the correlation mechanism linking the thermal environment with the socioeconomic status (SES) of Chinese cities, employing Hangzhou as a representative case—a pivotal city among China's "four fire stoves". The investigation involved analyzing the spatial distribution pattern of diurnal Land Surface Temperature (LST) during the summer months spanning 2016 to 2018 (July to September). For SES characterization, a holistic indicator was established. Community-level LST variables were derived from LST surfaces obtained through the Terra and Aqua satellite MODIS sensors, with the community serving as the fundamental unit of analysis. The relationship between SES and LST was explored using random forest regression (RF), eXtreme Gradient Boosting (XGBoost), and support vector regression (SVR) to assess socioeconomic inequality in urban heat. The findings reveal that (1) RF exhibits the highest fitting accuracy and adeptly elucidates the nonlinear relationship and marginal effects between LST variables and SES. (2) Community SES in the Hangzhou metropolitan area exhibits spatial clustering. (3) Residents of low and middle SES communities experience heightened heat inequality. (4) A complex nonlinear relationship exists between daytime and nighttime LST and SES, with significant social disparities in urban heat within specific temperature thresholds. When deciding on measures to advance thermal environmental justice, it is crucial to prioritize both relatively disadvantaged groups and specific temperature intervals. This study departs from conventional approaches, exploring the nonlinear relationship between SES and urban heat at a fine scale, thereby assisting urban planners in developing effective strategies.

Neighborhood-Level Socioeconomic Status and Prescription Fill Patterns Among Patients With Heart Failure

ImportanceMedication nonadherence is common among patients with heart failure with reduced ejection fraction (HFrEF) and can lead to increased hospitalization and mortality. Patients living in socioeconomically disadvantaged areas may be at greater risk for medication nonadherence due to barriers such as lower access to transportation or pharmacies.ObjectiveTo examine the association between neighborhood-level socioeconomic status (nSES) and medication nonadherence among patients with HFrEF and to assess the mediating roles of access to transportation, walkability, and pharmacy density.Design, Setting, and ParticipantsThis retrospective cohort study was conducted between June 30, 2020, and December 31, 2021, at a large health system based primarily in New York City and surrounding areas. Adult patients with a diagnosis of HF, reduced EF on echocardiogram, and a prescription of at least 1 guideline-directed medical therapy (GDMT) for HFrEF were included.ExposurePatient addresses were geocoded, and nSES was calculated using the Agency for Healthcare Research and Quality SES index, which combines census-tract level measures of poverty, rent burden, unemployment, crowding, home value, and education, with higher values indicating higher nSES.Main Outcomes and MeasuresMedication nonadherence was obtained through linkage of health record prescription data with pharmacy fill data and was defined as proportion of days covered (PDC) of less than 80% over 6 months, averaged across GDMT medications.ResultsAmong 6247 patients, the mean (SD) age was 73 (14) years, and majority were male (4340 [69.5%]). There were 1011 (16.2%) Black participants, 735 (11.8%) Hispanic/Latinx participants, and 3929 (62.9%) White participants. Patients in lower nSES areas had higher rates of nonadherence, ranging from 51.7% in the lowest quartile (731 of 1086 participants) to 40.0% in the highest quartile (563 of 1086 participants) (P &amp;amp;lt; .001). In adjusted analysis, patients living in the lower 2 nSES quartiles had significantly higher odds of nonadherence when compared with patients living in the highest nSES quartile (quartile 1: odds ratio [OR], 1.57 [95% CI, 1.35-1.83]; quartile 2: OR, 1.35 [95% CI, 1.16-1.56]). No mediation by access to transportation and pharmacy density was found, but a small amount of mediation by neighborhood walkability was observed.Conclusions and RelevanceIn this retrospective cohort study of patients with HFrEF, living in a lower nSES area was associated with higher rates of GDMT nonadherence. These findings highlight the importance of considering neighborhood-level disparities when developing approaches to improve medication adherence.

Abstract PR019: Evaluating the role of ambient air pollution in racial disparities of colorectal cancer incidence and survival in metropolitan Detroit

Abstract Colorectal cancer (CRC) is the third most diagnosed cancer in the United States and the third leading cause of cancer-related deaths. Moreover, Non-Hispanic Black (NHB) individuals have the highest rates of CRC incidence and mortality in the United States. We have become increasingly aware of the potential impact of social determinants of health (SDOH) on colorectal physiology and carcinogenesis. Other than individual and neighborhood level socioeconomic status (SES), neighborhood quality can also affect an individual’s risk of exposure to harmful environmental contaminants including ambient air pollution. Moreover, as NHB individuals are more likely to live in areas of lower area-level SES they experience these effects even further. We sought to understand whether higher exposure rates to fine particulate matter (PM2.5) played a role in racial differences in CRC incidence and survival in metropolitan Detroit. To do this, we obtained data from the Environmental Protection Agency (EPA) Environmental Justice Mapping and Screening Tool through the Georgetown University Environmental Impact Data Collective (EIDC) and patient data from the Metropolitan Detroit Cancer Surveillance System (MDCSS) registry. Incidence rates were calculated using population data from the American Community Survey. Associations between PM2.5 exposure and CRC incidence were estimated using Poisson modeling. Data were obtained for NHB (n=3778) and Non-Hispanic White (NHW) (n=9727) individuals diagnosed with invasive CRC between 2010 and 2019 in Wayne, Oakland, and Macomb counties, including their geocoded census tract at diagnosis as well as demographic and clinical features. Vital status was reported as months from the date of diagnosis to either death or last contact. PM2.5 metrics were converted to the national percentile of PM2.5 in the air utilizing the Bayesian space-time downscaling fusion model for derived estimates of air quality at the census tract level. Survival was assessed using Cox Proportional Hazards modeling. We found that an increase in the PM2.5 percentile increased the risk for CRC overall for NHB and NHW patients (Relative Risk [RR] = 1.80, 95% Confidence Interval [CI] = 1.55 - 2.08, p-value &amp;lt;0.0001). This association was even stronger among NHB patients (RR = 7.94, 95% CI = 5.45 - 11.52, p-value &amp;lt; 0.0001), but was not statistically significant among NHW patients (RR = 1.12, 95% CI = 0.95 – 1.32, p-value = 0.16). PM2.5 exposure was not associated with survival overall or stratified by race. We conclude that ambient air pollution, particularly PM2.5, increases the risk of CRC cancer and disproportionately affects NHB patients but may not play a role in mortality risk. These results highlight the importance of environmental justice research in biomedical research and the need for a better understanding of the etiology of CRC within and among differing genetic ancestries and races by evaluating the genetic and epigenetic differences in patient tumor samples. Citation Format: Natalie G. Snider, Theresa Hastert, Ed Peters, Elena M. Stoffel, Laura Rozek, Ann Schwartz, Kristen Purrington. Evaluating the role of ambient air pollution in racial disparities of colorectal cancer incidence and survival in metropolitan Detroit [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr PR019.

Abstract A103: Joint associations of education and neighborhood socioeconomic status on smoking prevalence: The Multiethnic Cohort Study

Abstract Background: Smoking is the leading cause of cancer and cancer death. Individual- and neighborhood-level measures of socioeconomic status (SES) have been separately associated with racial and ethnic differences in smoking rates. However, the joint associations of individual- and neighborhood-level SES on smoking have not been studied. Thus, we examined the joint association of education and neighborhood SES (nSES) on smoking status in the Multiethnic Cohort (MEC) study. Methods: We conducted a cross-sectional study of the joint association of nSES and education with smoking for 166,475 MEC participants (26,350 African American, 50,207 Japanese American, 34,490 Latino, 12,326 Native Hawaiian, and 43,102 White participants) recruited from predominately Los Angeles County and Hawaii. Smoking status, education, and other demographics and health behaviors were reported at baseline (1993-1996). Neighborhood SES (nSES) was derived using 1990 US Census data on education, occupation, unemployment, household income, poverty, rent, and house values and assigned to geocoded baseline addresses; and categorized into quintiles using LA County and Hawaii nSES distributions. The joint nSES and education measure was categorized into 4 levels using high nSES (quintiles 4-5), low nSES (quintiles 1-3), high education (≥ high school), and low education (&amp;lt; high school). The study outcome was current smoking vs. non-smoking (never or former smoking). Poisson regression was used to estimate prevalence ratios (PR) and 95% CIs for the joint association of nSES and education with current smoking, adjusting for sex, race/ethnicity, marital status, physical activity, occupation, alcohol, obesity, 2015 healthy eating index, and clustering by census block group. Subgroup analyses were conducted by state (CA and HI), sex, and race/ethnicity. Results: For CA MEC participants, smoking prevalence was highest with low nSES and low education, followed by low nSES and high education, and high nSES and low education (PR=1.50, 1.33, and 1.29, respectively). This pattern was found in females but not males and in African American and Japanese American participants but not Latino or White participants. For HI MEC participants, smoking prevalence was highest with low nSES and low education, followed by high nSES and low education, and low nSES and high education (PR=1.41, 1.36, and 1.20, respectively). This pattern was found in males and females in HI and across all racial and ethnic groups. Interestingly, in Native Hawaiian participants, the smoking prevalence with low nSES and low education was similar to those with high nSES and low education (PR=1.54 and 1.52, respectively). Conclusion: In the MEC, smoking prevalence was highest in CA for females, African American, and Japanese American participants in joint SES categories with low nSES, while in HI, low education appeared more influential, especially among Native Hawaiian participants. These findings demonstrate the importance of considering both individual and neighborhood-level SES measures on smoking prevalence. Citation Format: Catherine P. Walsh, Younghan Lee, Salma Shariff-Marco, Lynne Wilkens, Loic Le Marchand, Christopher A. Haiman, Iona Cheng, S. Lani Park. Joint associations of education and neighborhood socioeconomic status on smoking prevalence: The Multiethnic Cohort Study [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A103.

Association of maternal education, neighborhood deprivation, and racial segregation with gestational age at birth by maternal race/ethnicity and United States Census region in the ECHO cohorts.

In the United States, disparities in gestational age at birth by maternal race, ethnicity, and geography are theorized to be related, in part, to differences in individual- and neighborhood-level socioeconomic status (SES). Yet, few studies have examined their combined effects or whether associations vary by maternal race and ethnicity and United States Census region. We assembled data from 34 cohorts in the Environmental influences on Child Health Outcomes (ECHO) program representing 10,304 participants who delivered a liveborn, singleton infant from 2000 through 2019. We investigated the combined associations of maternal education level, neighborhood deprivation index (NDI), and Index of Concentration at the Extremes for racial residential segregation (ICERace) on gestational weeks at birth using linear regression and on gestational age at birth categories (preterm, early term, post-late term relative to full term) using multinomial logistic regression. After adjustment for NDI and ICERace, gestational weeks at birth was significantly lower among those with a high school diploma or less (-0.31 weeks, 95% CI: -0.44, -0.18), and some college (-0.30 weeks, 95% CI: -0.42, -0.18) relative to a master's degree or higher. Those with a high school diploma or less also had an increased odds of preterm (aOR 1.59, 95% CI: 1.20, 2.10) and early term birth (aOR 1.26, 95% CI: 1.05, 1.51). In adjusted models, NDI quartile and ICERace quartile were not associated with gestational weeks at birth. However, higher NDI quartile (most deprived) associated with an increased odds of early term and late term birth, and lower ICERace quartile (least racially privileged) associated with a decreased odds of late or post-term birth. When stratifying by region, gestational weeks at birth was lower among those with a high school education or less and some college only among those living in the Northeast or Midwest. When stratifying by race and ethnicity, gestational weeks at birth was lower among those with a high school education or less only for the non-Hispanic White category. In this study, maternal education was consistently associated with shorter duration of pregnancy and increased odds of preterm birth, including in models adjusted for NDI and ICERace.

Race- and Gender-Specific Associations between Neighborhood-Level Socioeconomic Status and Body Mass Index: Evidence from the Southern Community Cohort Study.

Obesity and a low socioeconomic status (SES), measured at the neighborhood level, are more common among Americans of Black race and with a low individual-level SES. We examined the association between the neighborhood SES and body mass index (BMI) using data from 80,970 participants in the Southern Community Cohort Study, a cohort that oversamples Black and low-SES participants. BMI (kg/m2) was examined both continuously and categorically using cut points defined by the CDC. Neighborhood SES was measured using a neighborhood deprivation index composed of census-tract variables in the domains of education, employment, occupation, housing, and poverty. Generally, the participants in lower-SES neighborhoods were more likely to have a higher BMI and to be considered obese. We found effect modification by race and sex, where the neighborhood-BMI association was most apparent in White female participants in all the quintiles of the neighborhood SES (ORQ2 = 1.55, 95%CI = 1.34, 1.78; ORQ3 = 1.71, 95%CI = 1.48, 1.98; ORQ4 = 1.76, 95%CI = 1.52, 2.03; ORQ5 = 1.64, 95%SE = 1.39, 1.93). Conversely, the neighborhood-BMI association was mostly null in Black male participants (ORQ2 = 0.91, 95%CI = 0.72, 1.15; ORQ3 = 1.05, 95%CI = 0.84, 1.31; βQ4 = 1.00, 95%CI = 0.81, 1.23; ORQ5 = 0.76, 95%CI = 0.63, 0.93). Within all the subgroups, the associations were attenuated or null in participants residing in the lowest-SES neighborhoods. These findings suggest that the associations between the neighborhood SES and BMI vary, and that other factors aside from the neighborhood SES may better predict the BMI in Black and low-SES groups.

Socioeconomic Status and Risk of Stroke As Assessed By Transcranial Doppler: A Displace Study Secondary Analysis

Background: Transcranial doppler (TCD) screening (Sickle Stroke Screening) identifies children ages 2-16 years with sickle cell disease (SCD) at an increased risk for stroke. Significant barriers to undergoing annual screening exist for patients with SCD. Previous studies have shown that individuals from households on public insurance with limited neighborhood opportunity have increased barriers to receiving adequate healthcare, including routine screening; however it is unknown whether low socioeconomic status (SES) influences TCD results. Methods: We conducted a secondary analysis of the DISPLACE study, which included a cohort of 3243 TCD-eligible individuals aged 2-16 who had at least one TCD screen performed during their year of study enrollment. We utilized insurance type (Medicaid/CHIP or public versus all other insurances) and overall childhood opportunity index (COI) group (Very Low versus all other COI levels [Low, Medium, High, and Very High]) to proxy household- and neighborhood-level SES. We then examined the association between household- and neighborhood-level SES and conditional and/or abnormal TCD screening results. Baseline characteristics of the overall cohort (Table 1) were described by COI group and insurance type. The primary outcome was TCD result at baseline (i.e. a patient's first TCD in the database); categorized as abnormal, high-conditional, and normal (reference group). Multinomial logistic regression analysis was used to assess whether clinical (age, sex [female vs. male], hemoglobin (Hgb) level, white blood cell [WBC] count, presence of clinical hypertension [yes, no], hydroxyurea (HU) prescription at baseline [yes, no]) or socioeconomic factors (insurance type and COI group) were independently associated with TCD result. The multinomial regression accounted for age, Hgb level, WBC count, HU prescription, COI group, and insurance type. All tests were two-tailed and, an alpha level of &amp;lt;0.05 and &amp;lt;0.1 (to reduce type II error in logistic regression) were used to determine statistical significance. Results: The analytic cohort included 3243 children (Table 1), with 1346 (41.5%) children living in Very Low COI neighborhoods and 2180 (67.2%) of households with public insurance. HU was prescribed to 60.7% of individuals, and this varied by COI level (p=0.021), but not insurance type (p=0.758). WBC count was significantly higher in the Very Low COI group (p=0.004) and public insurance group (p&amp;lt;0.001). Hgb level was noted to be significantly lower in the Very Low COI (p=0.031) and public insurance (p&amp;lt;0.001) groups. Bivariate logistic regression analysis revealed that COI group (OR 1.53, p=0.08) and insurance type (OR=1.76, p=0.056) were significantly associated at p&amp;lt;0.1 with abnormal TCD outcome individually. Lack of HU prescription was significantly associated at p&amp;lt;0.05 with abnormal TCD result (Odds Ratio [OR]=20.36, p&amp;lt;0.001), and WBC count (OR=1.05, p=0.055) was significantly associated at p&amp;lt;0.1 with abnormal TCD result individually. In the multinomial logistic regression model (included variables listed above), only lack of HU prescription remained significantly associated at p&amp;lt;0.05 with abnormal TCD result (OR=19.09, p&amp;lt;0.001). Conclusion: The most robust predictive factor determining abnormal or conditional TCD status in this cohort was lack of HU prescription. Public insurance and COI group as proxies for SES were not independently associated with abnormal or conditional TCD results. As such, the disparities seen by individuals from proxied lower SES are likely mediated by utilization of HU. Notably, HU prescription rates differed by COI group, but not insurance type, suggesting possible neighborhood level factors (such as availability of pharmacies dispensing HU) influencing HU prescription that wouldn't be reflected by insurance type. The limitations of using socioeconomic proxies such as COI group and insurance type must be noted, as these proxies assign group characteristics to an individual based on a snapshot in time, which may not be representative of the dynamic nature of one's SES. Nevertheless, these findings highlight the need to better understand the possible association between SES and HU prescription, as limited HU access and utilization could result in significant health disparities in both treatment and outcomes.

Associations between school-level environment and individual-level factors of walking and cycling to school in Canadian youth

Identifying individual-level and school-level correlates of walking and cycling to school remains a public health priority as only one in four Canadian youth actively travels to school. This study aimed to estimate the prevalence of Canadian youth in grades 6 to 10 who walk, cycle, or use motorised transport to go to school, and to examine if school neighbourhood walkability, neighbourhood-level and individual-level correlates are associated with mode of transportation to school. Data come from the 2017/2018 Health Behaviour in School-aged Children study. The walkability of the schools’ neighbourhood was measured using the Canadian Active Living Environments (Can-ALE) index. We observed that only 22.4% and 4.2% of youth walked and cycled to school, respectively. Most (73.4%) used motorised transport to school, including 53.2% of youth who lived less than 5 minutes from school. Schools located in neighbourhoods with higher Can-ALE classes (i.e., higher walkability) were positively associated with walking to school. No statistically significant association between school walkability and cycling to school was observed. Individual-level socioeconomic status (SES) was associated with walking, but not cycling, to school. Conversely, neighbourhood-level SES was associated with cycling, but not with walking, to school. Correlates of walking to school differed from those for cycling to school, suggesting that different approaches to promoting active transportation are needed.

Association of Neighborhood Economic Status and Race With Developing Pelvic Inflammatory Disease After Sexually Transmitted Infections.

To explore the association of neighborhood-level socioeconomic status (SES) and race with developing pelvic inflammatory disease (PID) after sexually transmitted infection (STI) among female adolescents and young adults in Maryland. We used Maryland statewide hospital claims data (outpatient and inpatient visits) for this retrospective cohort study. Female adolescents and young adults aged 15-24 years who had at least one STI from July 1, 2013, to March 31, 2015, were included. A participant entered the cohort on the date of the first STI diagnosis and was followed up until PID occurrence or 3 years after the first STI. Median household income of the participant's residential ZIP code tabulation area was used as the neighborhood-level SES. Discrete-time hazard models were used to estimate the hazard of PID. Of the 2,873 participants, 88.5% were of Black race, and 67.2% were aged 20-24 years. The hazard of PID after an STI among Black women was 1.40 times that of White women (95% CI 1.06-1.85). After adjustment for age, insurance type, and number of STI events, the hazard ratio (HR) did not change. However, adding neighborhood-level SES to the model attenuated the disparity in PID after STI between Black and White women (HR 1.25, 95% CI 0.94-1.67). Racial disparities in PID diagnosis are mitigated by neighborhood-level SES.

Neighbourhood and household level socio-economic status and its association with air pollution exposure in Indian cities

Neighbourhood and household level socio-economic status and its association with air pollution exposure in Indian cities

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia.

Little is known regarding the association between insurance status and treatment delays in women with breast cancer and whether this association varies by neighborhood socioeconomic deprivation status. In this cohort study, we used medical record data of women diagnosed with breast cancer between 2004 and 2022 at two Georgia-based healthcare systems. Treatment delay was defined as >90 days to surgery or >120 days to systemic treatment. Insurance coverage was categorized as private, Medicaid, Medicare, other public, or uninsured. Area deprivation index (ADI) was used as a proxy for neighborhood-level socioeconomic status. Associations between delayed treatment and insurance status were analyzed using logistic regression, with an interaction term assessing effect modification by ADI. Of the 14,195 women with breast cancer, 54% were non-Hispanic Black and 52% were privately insured. Compared with privately insured patients, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 79%, 75%, and 27% higher odds of delayed treatment, respectively (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.32-2.43; OR: 1.75, 95% CI: 1.43-2.13; OR: 1.27, 95% CI: 1.06-1.51). Among patients living in low-deprivation areas, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 100%, 84%, and 26% higher odds of delayed treatment than privately insured patients (OR: 2.00, 95% CI: 1.44-2.78; OR: 1.84, 95% CI: 1.48-2.30; OR: 1.26, 95% CI: 1.05-1.53). No differences in the odds of delayed treatment by insurance status were observed in patients living in high-deprivation areas. Insurance status was associated with treatment delays for women living in low-deprivation neighborhoods. However, for women living in neighborhoods with high deprivation, treatment delays were observed regardless of insurance status.

Contributions of neighborhood social environment and air pollution exposure to Black-White disparities in epigenetic aging.

Racial disparities in many aging-related health outcomes are persistent and pervasive among older Americans, reflecting accelerated biological aging for Black Americans compared to White, known as weathering. Environmental determinants that contribute to weathering are poorly understood. Having a higher biological age, measured by DNA methylation (DNAm), than chronological age is robustly associated with worse age-related outcomes and higher social adversity. We hypothesize that individual socioeconomic status (SES), neighborhood social environment, and air pollution exposures contribute to racial disparities in DNAm aging according to GrimAge and Dunedin Pace of Aging methylation (DPoAm). We perform retrospective cross-sectional analyses among 2,960 non-Hispanic participants (82% White, 18% Black) in the Health and Retirement Study whose 2016 DNAm age is linked to survey responses and geographic data. DNAm aging is defined as the residual after regressing DNAm age on chronological age. We observe Black individuals have significantly accelerated DNAm aging on average compared to White individuals according to GrimAge (239%) and DPoAm (238%). We implement multivariable linear regression models and threefold decomposition to identify exposures that contribute to this disparity. Exposure measures include individual-level SES, census-tract-level socioeconomic deprivation and air pollution (fine particulate matter, nitrogen dioxide, and ozone), and perceived neighborhood social and physical disorder. Race and gender are included as covariates. Regression and decomposition results show that individual-level SES is strongly associated with and accounts for a large portion of the disparity in both GrimAge and DPoAm aging. Higher neighborhood deprivation for Black participants significantly contributes to the disparity in GrimAge aging. Black participants are more vulnerable to fine particulate matter exposure for DPoAm, perhaps due to individual- and neighborhood-level SES, which may contribute to the disparity in DPoAm aging. DNAm aging may play a role in the environment "getting under the skin", contributing to age-related health disparities between older Black and White Americans.