Socioeconomic Status Areas Research Articles

Construction of residential histories to estimate long-term environmental exposures in the California Teachers Study cohort.

Environmental epidemiologic studies using geospatial data often estimate exposure at a participant's residence upon enrollment, but mobility during the exposure period can lead to misclassification. We aimed to mitigate this issue by constructing residential histories for participants in the California Teachers Study through follow-up (1995-2018). Address records have been collected from the US Postal Service, LexisNexis, Experian, and California Cancer Registry. We identified records of the same address based on geo-coordinate distance (≤250 m) and street name similarity. We consolidated addresses, prioritizing those confirmed by participants during follow-up questionnaires, and estimating the duration lived at each address using dates associated with records (e.g., date-first-seen). During 23 years of follow-up, about half of participants moved (48%, including 14% out-of-state). We observed greater mobility among younger women, Hispanic/Latino women, and those in metropolitan and lower socioeconomic status areas. The cumulative proportion of in-state movers remaining eligible for analysis was 21%, 32%, and 41% at 5, 10, and 20 years post enrollment, respectively. Using self-reported information collected 10 years after enrollment, we correctly identified 94% of movers and 95% of non-movers as having moved or not moved from their enrollment address. This dataset provides a foundation for estimating long-term environmental exposures in diverse epidemiologic studies in this cohort. IMPACT: Our efforts in constructing residential histories for California Teachers Study participants through follow-up (1995-2018) benefit future environmental epidemiologic studies. Address availability during the exposure period can mitigate misclassification due to residential changes, especially when evaluating long-term exposures and chronic health outcomes. This can reduce differential misclassification among more mobile subgroups, including younger women and those from lower socioeconomic and urban areas. Our approach to consolidating addresses from multiple sources showed high accuracy in comparison to self-reported residential information. The residential dataset produced from this analysis provides a valuable tool for future studies, ultimately enhancing our understanding of environmental health impacts.

Associations between brake and tire wear-related PM2.5 metal components, particulate oxidative stress potential, and autism spectrum disorder in Southern California

BackgroundAir pollution is a global health concern, with fine particulate matter (PM2.5) constituents posing potential risks to human health, including children's neurodevelopment. Here we investigated associations between exposure during pregnancy and infancy to specific traffic-related PM2.5 components with Autism Spectrum Disorder (ASD) diagnosis. MethodsFor exposure assessment, we estimated PM2.5 components related to traffic exposure (Barium [Ba] as a marker of brake dust and Zinc [Zn] as a tire wear marker, Black Carbon [BC]) and oxidative stress potential (OSP) markers (Hydroxyl Radical [OPOH] formation, Dithiothreitol activity [OPDTT], reactive oxygen species [ROS]) modeled with land use regression with co-kriging based on an intensive air monitoring campaign. We assigned exposures to a cohort of 444,651 children born in Southern California between 2016 and 2019, among whom 11,466 ASD cases were diagnosed between 2018 and 2022, Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained with logistic regression for single pollutant and PM2.5 mass co-adjusted models, also adjusting for sociodemographic characteristics. ResultsAmong PM2.5 components, we found the strongest positive association with ASD for our brake wear marker Ba (ORper IQR = 1.29, 95 % CI: 1.24, 1.34). This was followed by an increased risk for all PM2.5 oxidative stress potential markers; the strongest association was with ROS formation (ORper IQR = 1.22, 95 % CI: 1.18, 1.25). PM2.5 mass was linked to ASD in Hispanic and Black children, but not White children, while traffic-related PM2.5 and OSP markers increased ASD risk across all groups. In neighborhoods with the lowest socioeconomic status (SES), associations with ASD were stronger for all examined pollutants compared to higher SES areas. ConclusionsOur findings suggest that brake wear-related PM2.5 and PM2.5 OSP are associated with ASD diagnosis in Southern California. These results suggest that strategies aimed at reducing the public health impacts of PM2.5 need to consider specific sources.

COVID-19 hospitalization risk after outpatient nirmatrelvir/ritonavir use, January to August 2022, North Carolina.

In the USA, nirmatrelvir/ritonavir is authorized for the treatment of mild-to-moderate COVID-19 in patients at least 12 years of age, at high risk for progression to severe COVID-19. To estimate the impact of outpatient nirmatrelvir/ritonavir on COVID-19 hospitalization risk in a US healthcare system. We conducted a cohort study using electronic health records among outpatients with a positive SARS-CoV-2 PCR test between January and August 2022. We evaluated the association of nirmatrelvir/ritonavir therapy with time to hospitalization by estimating adjusted HRs and assessed the impact of nirmatrelvir/ritonavir on predicted COVID-19 hospitalizations using machine-learning methods. Among 44 671 patients, 4948 (11%) received nirmatrelvir/ritonavir, and 201 (0.4%) were hospitalized within 28 days of COVID-19 diagnosis. Nirmatrelvir/ritonavir recipients were more likely to be older, white, vaccinated, have comorbidities and reside in areas with higher average socioeconomic status. The 28 day cumulative incidence of hospitalization was 0.06% (95% CI: 0.02%-0.17%) among nirmatrelvir/ritonavir recipients and 0.52% (95% CI: 0.46%-0.60%) among non-recipients. For nirmatrelvir/ritonavir versus no therapy, the age-adjusted HR was 0.08 (95% CI: 0.03-0.26); the fully adjusted HR was 0.16 (95% CI: 0.05-0.50). In the machine-learning model, the primary features reducing predicted hospitalization risk were nirmatrelvir/ritonavir, younger age, vaccination, female gender and residence in a higher socioeconomic status area. COVID-19 hospitalization risk was reduced by 84% among nirmatrelvir/ritonavir recipients in a large, diverse healthcare system during the Omicron wave. These results suggest that nirmatrelvir/ritonavir remained highly effective in a setting substantially different than the original clinical trials.

Universal healthy school start intervention reduced the body mass index of young children with obesity.

To evaluate the effect of a universal, school-based family support programme on body mass index (BMI) of children aged 5-7 years, using pooled data from three trials. The programme has three to four components and is delivered during the first school year. It aims to promote healthy dietary and physical activity behaviours, and secondarily prevent unhealthy weight gain. Three cluster-randomised controlled trials were conducted between 2010 and 2018 in low and mixed socioeconomic status areas in Sweden. Weight and height were measured. Multiple mixed linear regression analysis was performed on the pooled data. In total, 961 children were included (50% girls, mean age 6.3 years). The post-intervention effect on BMI z-score in all children was small, but in those with obesity at baseline, we observed a significant, clinically relevant, decrease in BMI z-score (-0.21). This was most pronounced in children with a non-Nordic born parent (-0.24). Five to six months after the intervention, decreases were no longer statistically significant. The intervention resulted in changes in BMI comparable to obesity treatment programmes focusing on behaviour change. However, the effect attenuated with time suggesting the programme should be sustained and evaluated for a longer time.

The Effect of Background Noise, Bilingualism, Socioeconomic Status, and Cognitive Functioning on Primary School Children's Narrative Listening Comprehension.

This study focuses on 7- to 9-year-old children attending primary school in Swedish areas of low socioeconomic status, where most children's school language is their second language. The aim was to better understand what factors influence these children's narrative listening comprehension both in an ideal listening condition (in quiet) and for the primary school classroom, a typical listening condition (with multitalker babble noise). A total of 86 typically developing 7- to 9-year-olds performed a narrative listening comprehension test (Lyssna, Förstå och Minnas [LFM]; English translation: Listen, Comprehend, and Remember) in two listening conditions: quiet and multitalker babble noise. They also performed the crosslinguistic nonword repetition test and a digit span backwards (DSB) test. A predictive statistical model including these factors, the children's degree of school language exposure, parental education level, and age was derived. Listening condition had the strongest predictive value for LFM performance, followed by school language exposure and nonword repetition accuracy. Parental education level was also a significant predictor. There was a significant three-way interaction effect between listening condition, age, and DSB performance. Multitalker babble noise has a negative effect on children's narrative listening comprehension. The effect of multitalker babble noise could be explained by age differences in the ability to allocate working memory capacity during the narrative listening comprehension task, suggesting that younger children may be more vulnerable for missing information when listening in background noise than their older peers. https://doi.org/10.23641/asha.25209248.

The Burden of Human Metapneumovirus- and Influenza-Associated Hospitalizations in Adults in New Zealand, 2012-2015.

Unlike influenza, information on the burden of human metapneumovirus (HMPV) as a cause of hospitalizations in adults with acute respiratory illness (ARI) is limited. We compared the population-based incidence, seasonality, and clinical characteristics of these 2 viral infections among adults aged ≥20 years with ARI hospitalizations in Auckland, New Zealand, during 2012-2015 through the Southern Hemisphere Influenza Vaccine Effectiveness Research and Surveillance (SHIVERS) project. Of the 14 139 ARI hospitalizations, 276 of 6484 (4.3%) tested positive for HMPV and 1342 of 7027 (19.1%) tested positive for influenza. Crude rates of 9.8 (95% confidence interval [CI], 8.7-11.0) HMPV-associated and 47.6 (95% CI, 45.1-50.1) influenza-associated ARI hospitalizations were estimated for every 100 000 adult residents annually. The highest rates for both viruses were in those aged ≥80 years, of Māori or Pacific ethnicity, or living in low socioeconomic status (SES) areas. HMPV infections were more common than influenza in those with chronic medical conditions. Although HMPV infections accounted for fewer hospitalizations than influenza in adults aged ≥20 years, HMPV-associated ARI hospitalization rates were higher than influenza in older adults, Māori and Pacific people, and those of low SES. This highlights a need for vaccine/antiviral development.

Patterns and Correlates of Participation in a Weekly Mass Participation Physical Activity Event, parkrun, in Australia, 2011-2020.

Studying effective interventions already operating at scale is critical to improving physical activity intervention research translation. The free, weekly, timed 5-km run or walk parkrun represents a unique opportunity to examine successful organic dissemination. We conducted an ecological analysis to identify patterns of growth in Australian parkrun participation and their correlates from 2011 to 2020. Outcome variables were (1)weekly counts of walkers/runners and (2)monthly number of new parkrun registrants. We used latent class analysis to characterize growth trajectories followed by logistic regression on class membership. Covariates included parkrun course characteristics (eg,surface type and route), site-level aggregate participant profile (eg,proportion women and mean age), and surrounding area characteristics (eg,population density and physical activity norm). Three hundred and sixty-three parkruns were included (n = 8,388,695 participation instances). Sixty-nine percent followed a low-growth and 31% a high-growth participation pattern. High growth was associated with greater participation by women, concrete/bitumen surface type, lower area socioeconomic status, and greater volunteer heterogeneity. Odds of being in the slow-growth class were higher if the course contained >1km of repetition, higher average age of participants, better average parkrun performance, and higher running group membership. Two patterns of new registration were identified: high start followed by steep decline; and low start, slow decline with similar correlates to participation. Parkruns with a less competitive social milieu may have more rapid dissemination. As a free and regular event, parkruns in low socioeconomic areas have the potential to improve the activity levels of those with fewer resources.

Mediating role of birth at a baby-friendly hospital in the association between parental socioeconomic status and infant exclusive breastfeeding at six months old

BackgroundCurrent evidence suggests that the exclusive breastfeeding (EBF) rate at six months postpartum in China falls considerably below the targets recommended by the World Health Organization (WHO). Socioeconomic disparities in EBF have been observed in developing countries, with significant heterogeneity across studies. Despite the implementation of the Baby-Friendly Hospital Initiative (BFHI) in China since the 1990s to promote breastfeeding, there has been a lack of assessment concerning infants from different socioeconomic backgrounds. This study sought to investigate the association between socioeconomic status (SES) and EBF and explore the potential impact of giving birth at a Baby-Friendly Hospital (BFH) on this association.MethodsWe analyzed data from 98,469 mother-child dyads selected from the Maternal and Child Health Management Information System. We used log-binomial models to examine the relationships between SES and EBF, SES and giving birth at a BFH, as well as BFH births and EBF. Additionally, we explored a counterfactual mediation approach to assess the mediating role of BFH births in the SES-EBF association.FindingsWe identified a significant association between SES and EBF (RRMedium vs. Low = 1.47, 95% CI 1.39–1.55; RRHigh vs. Low = 1.40, 95% CI 1.32–1.49). Mothers with higher SES were more likely to give birth at BFHs (RRMedium vs. Low = 1.85, 95% CI 1.81–1.88; RRHigh vs. Low=2.29, 95% CI 2.25–2.33). The significance of the SES-EBF association was attenuated when the type of hospital for childbirth was considered, revealing the significant mediating effect of BFH births in the SES-EBF association.ConclusionSocioeconomic disparities are linked to infant EBF rates, with giving birth at a BFH mediating this association, especially for cases with low SES in rural areas.

Environmental Inequalities in Ecosystem Services Benefits of Green Infrastructure: A Case Study from China

Rapid urbanization is widespread globally, particularly impacting developing countries. In the face of climate challenges and shrinking public spaces resulting from urbanization, the significance of green infrastructure (GI) for human well-being and sustainability has increasingly taken center stage. This study employs an array of social-environmental benefits to evaluate GI’s contributions to human well-being, including mitigation of the urban heat island (UHI) effect, recreational functions, enhanced landscape connectivity, and efficient stormwater management. By mapping GI’s advantages, we scrutinized tradeoffs and ‘hot spots’ linked to these benefits within a metropolitan region. Moreover, we correlated GI’s advantages with the well-being of different socio-economic status (SES) groups by global and local regression. The study reveals environmental inequality, with higher SES areas—such as affluent and well-educated neighborhoods—providing superior and multifaceted GI benefits. The income coefficient is significantly positively correlated with the recreation function at the 1% significance level, while the coefficient for education is significant at the 10% level. Moreover, the income coefficient (0.349) surpasses the education coefficient (0.012). Our research also highlights that accessibility to GI’s recreational services may be an essential and overlooked indicator of environmental justice, especially for communities with a high proportion of elderly and low-income individuals.

Socio-Spatial Segregation of Unhealthy Food Environments across Public Schools in Santiago, Chile.

Santiago, Chile is a very segregated city, with higher childhood obesity rates observed in vulnerable areas. We compared the counts and proximity of unhealthy food outlets (UFOs) around a 400 m buffer of 443 public schools (municipal and subsidized) located in socioeconomically diverse neighborhoods in 14 municipalities of Santiago. This was a cross-sectional study in which the socioeconomic status (SES) of the population living inside the buffer was classified as middle-high, middle, and low. We used the Kruskal-Wallis test for comparisons of density and proximity between type of school, SES, and population density. We used a negative binomial model (unadjusted and adjusted by population density) to determine the expected change in counts of UFOs by SES, which was compared to the reference (middle-high). Low SES neighborhoods had significantly more counts of UFOs, and these were located much closer to schools. Low and middle SES neighborhoods had an 88% and 48% higher relative risk of having UFOs compared to middle-high SES areas; (IRR = 1.88; 95% CI 1.59-2.23) and (IRR = 1.48; 95% CI 1.20-1.82), respectively. A socio-spatial segregation of UFOs associated with childhood obesity across public schools was observed in Santiago.

Mapping the prevalence of cancer risk factors at the small area level in Australia

BackgroundCancer is a significant health issue globally and it is well known that cancer risk varies geographically. However in many countries there are no small area-level data on cancer risk factors with high resolution and complete reach, which hinders the development of targeted prevention strategies.MethodsUsing Australia as a case study, the 2017–2018 National Health Survey was used to generate prevalence estimates for 2221 small areas across Australia for eight cancer risk factor measures covering smoking, alcohol, physical activity, diet and weight. Utilising a recently developed Bayesian two-stage small area estimation methodology, the model incorporated survey-only covariates, spatial smoothing and hierarchical modelling techniques, along with a vast array of small area-level auxiliary data, including census, remoteness, and socioeconomic data. The models borrowed strength from previously published cancer risk estimates provided by the Social Health Atlases of Australia. Estimates were internally and externally validated.ResultsWe illustrated that in 2017–2018 health behaviours across Australia exhibited more spatial disparities than previously realised by improving the reach and resolution of formerly published cancer risk factors. The derived estimates revealed higher prevalence of unhealthy behaviours in more remote areas, and areas of lower socioeconomic status; a trend that aligned well with previous work.ConclusionsOur study addresses the gaps in small area level cancer risk factor estimates in Australia. The new estimates provide improved spatial resolution and reach and will enable more targeted cancer prevention strategies at the small area level. Furthermore, by including the results in the next release of the Australian Cancer Atlas, which currently provides small area level estimates of cancer incidence and relative survival, this work will help to provide a more comprehensive picture of cancer in Australia by supporting policy makers, researchers, and the general public in understanding the spatial distribution of cancer risk factors. The methodology applied in this work is generalisable to other small area estimation applications and has been shown to perform well when the survey data are sparse.

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 <0.0001). This association was even stronger among NHB patients (RR = 7.94, 95% CI = 5.45 - 11.52, p-value < 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 B095: Association of race and neighborhood deprivation with early-stage breast cancer survival in the United States

Abstract Introduction: Socioeconomic status (SES) of individuals and their neighborhoods holds significant influence over their access to the healthcare system and consequently, the outcomes of their diseases. Inequities in opportunities, education, income, and developmental infrastructure can contribute to poor prognosis and unfavorable outcomes for breast cancer (BC) in areas with lower SES. We studied the association of race and ethnicity with the neighborhood deprivation index (NDI) and the survival of early-stage BC. Methodology We utilized the NDI quintile (qn) developed by the National Cancer Institute, which incorporates variables from dimensions such as wealth and income, education, occupation, and housing conditions. By querying the SEER database from 2010 to 2016, we identified early-stage BC patients (pts) and examined the association between NDI, race/ethnicity and overall survival (OS) and disease-specific survival (DSS). Cox multivariate regression was employed to assess the association between NDI and OS/DSS. Kruskal-Wallis test, and chi-square tests were used for comparisons of continuous, categorical variables respectively. All analyses were adjusted for age, race, grade, insurance, and treatments. Statistical analyses were performed using SAS. Results Out of the 88,572 early-stage BC pts, 27.4 % (n= 24,307) were in the most deprivation (MD) qn, 26.5% (n= 23,447) were in the average deprivation (AD) qn, 17% (n= 15,035) were in the above average deprivation (AA) qn, 15.6% (n= 13,838) were in the least deprivation (LD) qn and 13.5% (n= 11,945) were in the below average deprivation (BA) qn. There was a predominance of racial minorities in the MD and AA qn with Blacks being 13-15% and Hispanics being 15% compared to only 8% Blacks and 6% Hispanics in the LD qn (p<0.001). There was a higher percentage of uninsured pts in the MD qn compared to LD qn (2.2% vs 1.7%, p<0.001). The interaction between NDI and race for OS and DSS was significant (p-interaction 0.0030 and 0.02 respectively). In the multivariate analysis, Whites residing in the MD and AA qn had higher overall and disease-specific mortality compared to those residing in the LD qn (OS- MD: HR= 1.23, 95% CI= 1.14-1.34, p<0.001, AA: HR= 1.32, 95% CI= 1.21-1.44, p<0.001; DSS- MD: HR= 1.29, 95% CI= 1.15-1.45, p<0.001, AA: HR= 1.37, 95% CI= 1.21-1.56, p<0.001). However, this disparity in mortality based on the NDI was not observed for Blacks with early-stage BC (OS- MD: HR= 1.2, 95% CI= 0.98-1.46, p=0.06, AA: HR= 1.17, 95% CI= 0.95-1.44, p= 0.01, DSS- MD: HR= 1.2, 95% CI= 0.94-1.55, p= 0.12, AA: HR= 1.22, 95% CI= 0.94-1.6, p=0.11). Conclusion Blacks with early-stage BC have poor OS and DSS regardless of the SES of the neighborhoods. Personalized treatments are needed for Blacks with early-stage BC to improve their clinical outcomes. Whites living in areas with early-stage BC have poor OS and DSS. To reduce healthcare disparities and enhance breast cancer outcomes, targeted investments and policies should prioritize improving the SES of underprivileged areas with high deprivation. Citation Format: Arya Mariam Roy, Anthony George, Archit Patel, Kristopher Attwood, Shipra Gandhi. Association of race and neighborhood deprivation with early-stage breast cancer survival in the United States [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 B095.

Abstract C129: Impact of COVID-19 on colorectal cancer screening disparities: Results from a large commercially insured population in the United States

Abstract Background: Although colorectal cancer (CRC) screening reduces both CRC incidence and CRC-related mortality, it is underutilized, especially among those with lower socioeconomic status (SES) and in racial and ethnic minoritized populations who have been disproportionately impacted by COVID-19. The shift in healthcare priorities to contain and mitigate COVID-19 over the last few years reduced clinical capacity for non-urgent care, including CRC screening. This study aimed to assess the impact of COVID-19 on disparities in CRC screening. Methods: Blue Cross Blue Shield (BCBS) insures approximately one third of Americans. We leveraged BCBS Axis data to examine temporal patterns in CRC screening among individuals aged 45-75 years during 2017-2021, focusing on three periods: 1) first wave of COVID-19 outbreak (Mar-Apr 2020); 2) second wave of COVID-19 outbreak (i.e., the Delta variant, Jan-Feb 2021); and 3) the most recent 2-month interval for which data are available (Nov-Dec 2021). Both invasive and non-invasive CRC screening procedures were identified, and beneficiaries who received screening one year before were excluded. Screening rates within each 2-month interval were calculated. Neighborhood SES was assessed by Social Deprivation Index at the zip code level and categorized into quintiles. Results: The study cohort included 27,628,570 individuals. Throughout the 5-year period, except for the 1st wave of COVID-19 outbreak, screening rates were higher in areas with higher SES. Prior to the pandemic (Jan 2017–Feb 2020), the average bimonthly screening rate in areas with the highest SES was 2.1%, compared to 1.7% in areas with the lowest SES (p <0.001). During the 1st wave of COVID-19 outbreak, screening rate decreased to approximately 0.8% across all SES quintiles. During the 2nd wave of COVID-19 outbreak, screening rates were 1.7% and 1.3% in the highest and lowest SES areas, respectively. For the last 2-month interval in our study period (Nov-Dec 2021), screening rates increased to 2.4% and 1.8% in areas with the highest and lowest SES, respectively. Among 9,565,516 beneficiaries with known race and ethnicity, 8.0%, 11.0%, 3.3% and 0.4% were non-Hispanic Black, Hispanic/Latino, Asian, and Native Americans/Pacific Islanders, respectively. Across all racial and ethnic groups, the average bimonthly screening rate was 1.9% prior to the pandemic, 0.7% in Mar-Apr 2020, 1.5% in Jan-Feb 2021, and 2.1% in Nov-Dec 2021. Conclusion: After the onset of COVID-19, CRC screening rate decreased broadly and reached a similar level in all SES groups in early 2020, but it then recovered at a different pace for individuals with different SES, maintaining and even exacerbating inequities that existed prior to the pandemic. Screening patterns were comparable across different racial and ethnic groups who were privately insured through BCBS. Findings from this very large study may help inform interventions to address social and structural determinants of health and reduce the disproportionate burden of CRC in individuals residing in socially deprived areas. Citation Format: Arfan Siddique, Rong Wang, Jacquelyne Gaddy, Cary Gross, Xiaomei Ma. Impact of COVID-19 on colorectal cancer screening disparities: Results from a large commercially insured population in the United States [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 C129.

Inequities in Autologous Stem Cell Transplantation, Chimeric Antigen Receptor T-Cell Therapy and Clinical Trial Participation in Patients Receiving Second-Line and Later Multiple Myeloma Treatment

Introduction: Despite improvements in care and novel therapies for the treatment of multiple myeloma (MM), nearly all patients experience relapse. However, few real-world studies have focused on treatment inequities that occur later in the MM patient journey with subsequent lines of therapy - the setting of particular interest for salvage treatment and novel drug development. The objectives of this study were to measure receipt of autologous stem cell transplantation (ASCT), chimeric antigen receptor T-cell therapy (CAR-T) and participation in clinical trials following initiation of second-line (2L) MM treatment and to describe inequities by race/ethnicity and area-level sociodemographic factors. Methods: This was a retrospective cohort study using the nationwide, electronic health record-derived Flatiron Health de-identified database. We included patients that previously received therapy for newly diagnosed MM and were initiating 2L between 2011 and 2023. The exposures of interest were race/ethnicity and area-level (census block group) socioeconomic status (SES) measured by the Yost index. Outcomes of interest were receipt of ASCT, CAR-T and clinical trial participation. Patients were followed from the date of 2L initiation until the first of the outcome of interest, death or end of the study period. Multivariable cause-specific hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations with receipt of ASCT, CAR-T and clinical trial participation separately and as a single outcome. Informed by the Institute of Medicine's framework for healthcare disparities, models were adjusted for clinical factors, specifically, age, sex, and Eastern Cooperative Oncology Group (ECOG) performance status. Results: In a cohort of 2,017 patients with MM that were ASCT and CAR-T naïve with a median age of 72 years (interquartile range [IQR] 63-79), 52% were male, 52% had ECOG scores of 0 or 1, and 59% were treated in community oncology practices. Prior to 2L, 73% received fluorescence in situ hybridization testing for cytogenetic abnormalities and most patients received either doublet (34%) or triplet (51%) therapy. The majority of patients included were non-Latinx (NL)-White (61%), 21% were NL-Black and 4% were Latinx. Compared to NL-White patients, fewer NL-Black patients received FISH testing (70% versus 73%) and either doublet or triplet therapy (81% versus 86%) for newly diagnosed MM. A higher proportion of Black and Latinx patients resided in areas in the lowest quintile of SES (42% and 40% respectively) compared to NL-White patients (8%). Overall, 12.7% received ASCT, 0.8% received CAR-T and 1.3% participated in a clinical trial following the start of 2L. Compared with NL-White patients, Black and Latinx patients had lower rates of treatment with ASCT and CAR-T; and clinical trial participation was also lower among Latinx patients relative to NL-White patients (see Figure). Patients living in the highest quintile of SES had higher rates of ASCT (19.2%), CAR-T (0.8%) and clinical trial participation (2.3%) compared to those living in the lowest quintile of SES (10.1%, 0.3% and 1.5% respectively). In multivariable models, NL-Black (HR 0.57, 95% CI 0.42-0.76) and Latinx (HR 0.41, 95% CI 0.25-0.76) patients had a lower likelihood of receiving these treatments or participating in a clinical trial compared to NL-White patients; similarly, living in the lowest SES quintile (HR 0.38, 95% CI 0.26-0.56) was also associated with lower likelihood of these outcomes. Other area-level factors associated with inequities in ASCT, CAR-T and trial participation included living in segregated Black neighborhoods and areas with greater concentration of non-citizen residence and no vehicle ownership. Conclusion: We observed lower receipt of ASCT, CAR-T, and participation in clinical trials among Black and Latinx patients initiating 2L or later MM therapy, as well as patients living in areas of low SES. Persistent inequities in MM span the entirety of the patient journey, including the limited uptake and availability of novel therapies at later stages of the disease and a lack of representation in trials investigating new MM therapies.

Small-group vocabulary intervention combining elements from shared book Reading and the Lexicon pirate method – A pilot study of multilingual children with speech, language and communication needs

Multilingual children living in areas with low socioeconomic status (SES) are at an increased risk of having speech, language and communication needs (SLCN). Many multilingual children with SLCN in Sweden have insufficient basic vocabulary knowledge in the majority language, preventing them from achieving the school's learning goals. However, there is a lack of studies of interventions that could improve vocabulary development in this group, and that can be delivered in an everyday educational setting. This pilot study evaluates the effect of a school-based vocabulary group intervention, which combines elements from shared book reading and the Lexicon Pirate method, on vocabulary skills. A non-randomised pretest–posttest control group design was used. Eighteen six- to seven-year-old multilingual children attending preschool class in low SES areas either received intervention (n = 9) or were included in a control group (n = 9). The intervention group participated in 12 intervention sessions over six weeks. Word knowledge, semantic fluency, and comprehension of semantic relations were assessed pre- and post-intervention. Results revealed that children in the intervention group demonstrated significant gains in knowledge of both trained and untrained words, compared to the control group. No effects were found on semantic fluency or comprehension of semantic relations.

Examining area- and individual-level differences in suicide ideation severity and suicide attempt among youth.

Youth suicide is a pressing problem and suicide rates are not equally distributed across geographic areas or socioeconomic status (SES). Death by suicide is often preceded factors including hopelessness and suicide ideation, planning, and attempt. The current study examined area- and individual-level differences in suicide ideation severity and suicide attempt in a state-representative sample of youth from 2019 (N = 78,740) and 2021 (N = 61,396). Youth from higher SES and rural areas showed lower suicide ideation severity and odds of suicide attempt. After including individual-level covariates, SES differences in ideation severity and suicide attempt persisted for 2019 but not 2021. Rural differences for ideation severity persisted across years but not for suicide attempt. Further research on geographic variation in suicide risk is needed.

Capturing youth voices to improve food policy: applying CO-CREATE’s Dialogue Forum Tool in Ireland

Abstract Background The percentage of children eating fruit and vegetables and consuming milk in Europe is low The EU School Fruit, Vegetable, and Milk Scheme (SFVMS) is funded by the European Commission to promote the daily consumption of fruit, vegetables and milk. In 2023, the Commission plan to revise the scheme and are interested in hearing the views of young people. The aim of this research is to capture the voices of European Youth on the SFVMS from a collaboration of 4 countries. The present study provides initial findings from 11 and 12 year olds living in Ireland using the novel CO-CREATE Dialogue Forum Tool (DFT). Methods Two primary schools were recruited from a list of schools participating in the EU school, fruit, vegetables and milk scheme. The schools were from a high and a low socioeconomic status area. In each school, 6 pupils were invited to participate in the forum with consent from their parents. The DFT was applied to capture youth voices. The tool involved a moderated structured discussion about a prewritten SFVMS policy idea. The moderator guided the participants through the discussion with a series of activities on a physical canvas. Results The participants felt the policy idea was important to improve health. They discussed the obstacles and opportunities to the policy idea, including the quality of the school food products and their preferences. They proposed actions for improvement, including raising awareness of the quality and creating an advertising campaign. The participants enjoyed taking part in the dialogue forum and felt it was important to have their voices heard. Conclusions The CO-CREATE DFT was useful to discuss a policy idea for the EU SFVMS. The implementation of the tool by other countries will provide a wider European perspective of the policy idea. Key messages • Participants engaged well with The CO-CREATE dialogue forum tool. • Youth voices can be readily captured to co-create food related policies.

The Suitability of Stool Antigen Testing in the Detection of Helicobacter pylori in a Regional and Rural Area of Australia

Background. Helicobacter pylori is considered the most widespread bacterial pathogen worldwide. Successful eradication protocols are well established, highlighting the importance of appropriate infection detection. Noninvasive testing (NIT) methods are commonly used to detect infection, with test selection dependent on access and previous infection. This study examined trends in NIT by age group and test selection for eradication screening as well as examining H. pylori area prevalence by socioeconomic status (SES) in the Illawarra Shoalhaven and surrounding region. Materials and Methods. This retrospective cohort quantitative study is based on 20,998 NIT including stool antigen test (SAT), urea breath test (UBT), or H. pylori serology via Southern.IML Pathology between 2018 and 2020. Test percentage positives per and total test percentages within age groups were calculated for each NIT. Positive sample postcode data was assigned to socioeconomic percentiles. Total test utilisation and prevalence were calculated and depicted as geospatial representations. Results. Overall: 58.5% UBT, 31% serology, and 10.5% SAT were performed, with 14.7% positive for any NIT. Highest percent positive age group: SAT 80-89yo (18.6%), UBT 0-9yo (20.8%), and serology 90–99yo (32.6%). Test majority per age group: SAT 0-9yo (67.4%), UBT 10-89yo (59.4%), and serology 90-99yo (48.3%). A trend was seen between increasing infection prevalence and increasing socioeconomic disadvantage ( p = 0.161 , R 2 = 0.0361 ). Prevalence rates visually correlated with total test utilisation. Conclusions. SAT was underutilised compared to UBT or serology. Serology was inappropriately used in older age groups, and the result validity was questioned following confirmed infection. SAT is a viable alternative for use in these settings. No significant correlation was seen between lower SES areas and higher H. pylori infection prevalence, but low-test utilisation suggests likely prevalence underestimation within the studied area and may indicate reduced accessibility to healthcare.

Enabling mothers of young children in a low SES area to co-design the support they are seeking for the adoption of healthy behaviours.

There is a need for interventions that meet the needs of low socioeconomic status (SES) groups, to encourage the adoption of healthy diets and physical activity, in line with current public health guidance. This qualitative research used co-production, a method which actively involves the relevant community, to identify and describe public health interventions to support a group of mothers of young children living in a low SES area. A group of 20 mothers took part in three in-depth qualitative interviews to discuss in detail the type of support that would be of value to them for the adoption and maintenance of healthy behaviours. The mothers were subsequently invited to take part in a public engagement project, a community-based self-help group. Four themes explained the principles of interventions that would be of value in supporting the mothers with the adoption of healthy behaviours, namely, a community-based self-help group, support for the whole family and support in the home and influencing the environment. These were then further developed into two types of intervention (1) learning for self-help and family care, which encompassed the first three learning-based themes and (2) community of support, which covered influencing the environment and the experience of the community-based self-help group. Co-production enabled a group of mothers of young children, from a low SES area, to describe the type of support that would help them with the establishment and maintenance of healthy lifestyle behaviours. A community-based self-help group warrants further research.