Individual-level Socioeconomic Factors Research Articles

Higher socioeconomic deprivation in areas predicts cognitive decline in New Zealanders without cognitive impairment.

Previous studies identified individual-level socioeconomic factors as key determinants of cognitive health. This study investigated the effect of area-based socioeconomic deprivation on cognitive outcomes in midlife to early late-life New Zealanders without cognitive impairment at baseline. Data stemmed from a subsample of the New Zealand Health, Work and Retirement Study, a cohort study on ageing, who completed face-to-face interviews and were reassessed two years later. Cognitive functioning was measured using Addenbrooke's Cognitive Examination-Revised, adapted for culturally acceptable use in Aotearoa New Zealand. Area-based socioeconomic deprivation was assessed using the New Zealand Deprivation Index (NZDep2006). Linear mixed-effects models analysed the association between area-based socioeconomic deprivation and cognitive outcomes. The analysis included 783 participants without cognitive impairment at baseline (54.7% female, mean age 62.7 years, 25.0% Māori, the Indigenous people of Aotearoa New Zealand). There was an association between higher area-based socioeconomic deprivation and lower cognitive functioning (B = -0.08, 95%CI: -0.15;-0.01; p = .050) and cognitive decline (B = -0.12, 95%CI: -0.20;-0.04, p = .013) over two years, while controlling for covariates. The findings emphasise the importance of considering neighbourhood characteristics and broader socioeconomic factors in strategies aimed at mitigating cognitive health disparities and reducing the impact of dementia in disadvantaged communities.

A matter of measurement? Segregation and all-cause mortality in Sweden’s three metropolitan regions

Abstract Background Residential segregation can be operationalized and measured in many ways, along distinct dimensions. There are multiple mechanisms through which segregation and health mutually affect each other. Consequently, contextual health effects of segregation may vary depending on how segregation is measured. Methods We used longitudinal Swedish register data to compare associations between local measures of residential segregation (migrant density, migrant isolation, and the mutual information index) and all-cause mortality among the adult migrant and native-born populations in Sweden’s three largest metropolitan regions between 2004-2016. Results Among migrants, modest positive mortality gradients were observed across measures of migrant density and isolation, where a higher level of segregation was associated with higher risks of all-cause mortality (Q5 RR ranged from 1.08-1.20 across cities and measures). However, these effects were largely attenuated by individual-level socioeconomic factors, and reversed when further controlling for neighborhood economic deprivation (Q5 RR ranged from 0.74-0.87). Among the native-born, a positive gradient for mortality was found (Q5 RR ranged from 1.31-1.45), although this was reduced when accounting for neighborhood deprivation (Q5 RR ranged from 1.01 -1.11). For both migrants and the native-born, the mutual information index showed no clear association with mortality, although a mortality advantage is observed for migrants in the most segregated areas after individual and neighborhood level adjustments (Q5 RR ranged from 0.73-0.86). Conclusions Our findings show that the manner in which residential segregation is conceptualized and operationalized alters associations with health. However, individual and other contextual level confounders are important determinants which influences the patterns. Much of the negative health effects of residential segregation can be perceived through the lack of economic opportunities. Key messages • Associations between segregation and all-cause mortality depends on how segregation is conceptualized and measured. • The mortality disadvantage observed in local areas with high migrant density may be attributed to the lack of economic opportunities in the neighborhood.

Neighborhood poverty and hopelessness in older adults: The mediating role of perceived neighborhood disorder.

Hopelessness is one of the strongest predictors of health and mortality, particularly for older populations. Prior research has found associations between individual-level socioeconomic factors and hopelessness, but less is known about the potential importance of neighborhood-level socioeconomic contexts for hopelessness. In particular, the role of neighborhood disorder as a potential explanatory factor for poor psychological well-being remains underexplored. This study investigates whether neighborhood poverty is associated with a sense of hopelessness among older adults and if perceived neighborhood disorder mediates the link between poverty and hopelessness. Individual-level data came from the 2014/2016 Health and Retirement Study and were merged with neighborhood-level poverty data from the 2012-2016 and 2014-2018 American Community Survey. Linear regression models were employed to examine the association between neighborhood poverty, disorder, and hopelessness. Respondents in neighborhoods with higher poverty levels reported a greater sense of hopelessness (b = 0.11, 95% CI = 0.08, 0.15, p < .001), controlling for individual-level sociodemographic and health characteristics. Greater perceived neighborhood disorder was also positively associated with a sense of hopelessness (b = 0.16, 95%CI = 0.14, 0.18). When we included both neighborhood poverty and disorder in the same model, the association between neighborhood poverty and hopelessness was reduced by two thirds (b = 0.04, 95%CI = 0.0003, 0.07), while the association between perceived disorder and hopelessness remained robust (b = 0.16, 95%CI = 0.14, 0.18). We further examined the formal mediating effects of neighborhood disorder using structural equation modeling. The total effect of neighborhood poverty on hopelessness was significant (β = 0.08, bootstrapped 95%CI = 0.05, 0.10). The direct effect of neighborhood poverty was not significant (β = 0.02, bootstrapped 95% CI = -0.01, 0.04), while the indirect effect through neighborhood disorder was significant (β = 0.06, bootstrapped 95% CI = 0.05, 0.07). Neighborhood disorder mediated 75% of the association between neighborhood poverty and hopelessness. In light of these findings, improving neighborhood conditions, such as signs of disorder, may alleviate feelings of hopelessness in older adults residing in impoverished neighborhoods.

Area-level socioeconomic inequalities in mortality in China: a nationwide cohort study based on the ChinaHEART project

Socioeconomic status is a key social determinant of health. Compared with individual-level socioeconomic status, the association between area-level socioeconomic status and mortality has not been well investigated in China. We aimed to assess associations between area-level socioeconomic status and all-cause mortality and cause-specific mortality in China, as well as the interplay of area-level and individual-level socioeconomic status on mortality. In this nationwide cohort study, residents aged 35-75 years from 453 districts and counties were included in the China Health Evaluation and Risk Reduction Through Nationwide Teamwork (ChinaHEART) Study. The composite value of area-level socioeconomic status was generated from national census data and categorised into tertiles. Mortality rates and their 95% CIs were calculated using the Clopper-Pearson method. Cox frailty models were fitted to calculate adjusted hazard ratios and 95% CIs for area-level socioeconomic status with the risk of all-cause mortality and cause-specific mortality and their disparities across different population. We also assessed the roles of multiple individual factors as potential mediators. Between December, 2015, and December, 2022, 1 119 027 participants were included, for whom the mean age was 56·1 (SD 9·9) years and 672 385 (60·1%) were female. 24 426 (5·24 [95% CI 5·18-5·31] per 1000 person-years) deaths occurred during the median 4·5-year follow-up. Compared with high area-level socioeconomic status, low area-level socioeconomic status was significantly associated with an increased risk of all-cause (hazard ratio 1·11, 95% CI 1·07-1·16), cardiovascular disease (1·38, 1·29-1·48), and respiratory disease (1·44, 1·22-1·71) mortality. The stronger associations were observed in people older than 60 years, females, and participants with lower individual-level socioeconomic status. The individual-level socioeconomic, behavioural, and metabolic factors mediated 39·5% of the association between area-level socioeconomic status and mortality, of which individual-level socioeconomic status made the largest contribution. There are substantial area-level socioeconomic status-related inequalities in mortality in China. Individual-level socioeconomic, behavioural, and metabolic factors had mediating effects. Actions to improve area-level circumstances and individual factors are needed to improve health equity. The Chinese Academy of Medical Sciences Innovation Fund for Medical Science, the National High Level Hospital Clinical Research Funding, the Ministry of Finance of China, and the National Health Commission of China. For the Chinese translation of the abstract see Supplementary Materials section.

Exposure to PM2.5 air pollution and mortality in Northern Ireland

Objective and ApproachThis study assesses the relationship between PM2.5 air pollution exposure and mortality in Northern Ireland. It draws on a rich array of individual-level mortality and Census data from the Northern Ireland Longitudinal Study linked to finely grained neighbourhood-level modelled air pollution data. ResultsCox proportional hazards models reveal associations between mortality risk and PM2.5 exposure, though the magnitude of the effects depends on the specification. Without adjustment for measured characteristics, an interquartile range increase in the five-year moving average of PM2.5 exposure is associated with a relatively large increase in the hazard of mortality. This effect is reduced after adjusting for individual-level demographic, socioeconomic and health-related factors as well as household-level factors; however, the hazard ratio remains above one and comparable with estimates from other studies. In further analysis focusing on changes in exposure resulting from address changes, propensity score matching is used to assess whether, among those with similar levels of pre-move exposure, those who move to areas with different pollution levels face subsequently different mortality risks. The results show a higher (lower) mortality risk for those moving to a higher (lower) pollution neighbourhood. Conclusions and ImplicationsThis study provides evidence of mortality effects of PM2.5 from a setting in which annual mean PM2.5 concentrations are low by international standards (averaging roughly 8 micrograms per cubic metre during the study period) and offers timely evidence to inform the delivery of Northern Ireland’s first-ever Clean Air Strategy.

The TBI Model Systems Neighborhood Socioeconomic Disadvantage Index (TBIMS-NSDI): Development and Comparison to Individual Socioeconomic Characteristics.

To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI). Community. People enrolled in the TBI Model Systems National Database (TBIMS NDB). Secondary analysis of a longitudinal cohort study. The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI. A single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics. The TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI.

The effects of individual and cultural factors on digital inclusion in European countries: a two-level regression analysis

PurposeWith digitisation, a new kind of inequality has emerged in society between people and groups of people. A lack of digital inclusion creates challenges for the economic and social development of society and citizen participation. This study analyses how the country-level cultural factors defined by Hofstede are associated with citizens' digital skills and internet usage and how they moderate the effects of age, gender, educational level and income level.Design/methodology/approachThis comparative cross-sectional study examines digital inclusion in 22 European countries. Data from the European Social Survey (N = 37,602) are analysed using a two-level regression analysis.FindingsThe study found significant effects of demographic and socio-economic factors and country-level indulgence on digital skills and internet usage. In addition, the study shows that a high value on the indulgence index moderates the negative effect of age.Originality/valueThe digital divide has been studied widely with regard to individual-level influencing factors and international comparisons. The significance of Hofstede’s cultural dimensions in terms of digitisation and digital divides has also been confirmed in previous studies. However, there is a lack of analysis combining the effects of country-level culture and individual-level demographic and socio-economic factors on citizens' digital skills and internet usage. Generally, the research emphasises the significance of national culture in digital inclusion and especially in supporting the digital inclusion of older adults.

What Explains Inequalities in Telehealth Utilization Among North Carolina Medicaid Beneficiaries?

Background: Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics. Methods: Using North Carolina Medicaid claims data of Medicaid beneficiaries with BH or MSK conditions, we apply nonlinear regression-based decomposition analysis-based models developed by Kitagawa, Oaxaca, and Blinder to determine which observed variables are associated with racial, ethnic, and rural inequalities in telehealth usage. Results: In the BH cohort, we found statistically significant differences in telehealth usage by race in the adult population, and by race, Hispanic ethnicity, and rurality in the pediatric population. In the MSK cohort, we found significant inequities by Hispanic ethnicity and rurality among adults, and by race and rurality among children. Inequalities in telehealth use between groups were small, ranging from 0.7 percentage points between urban and rural adults with MSK conditions to 3.8 percentage points between white adults and people of color among those with BH conditions. Overall, we found that racial and ethnic inequalities in telehealth use are not well explained by the observed variables in our data. Rural disparities in telehealth use are better explained by observed variables, particularly area-level broadband internet use. Conclusions: For inequalities between rural and urban residents, our analysis provides observational evidence that infrastructure such as broadband internet access is an important driver of differences in telehealth use. For racial and ethnic inequalities, the pathways may be more complex and difficult to measure, particularly when relying on administrative data sources in place of more detailed data on individual-level socioeconomic factors.

Relations Between Neighborhood Disadvantage and Electrocortical Reward Processing in Youth at High and Low Risk for Depression.

Neighborhood-level disadvantage during childhood is a determinant of health that is hypothesized to confer risk for psychopathology via alterations in neuro-affective processing, including reward responsiveness. However, little research has examined the impact of socioeconomic disadvantage assessed at the community-level on reward processing, which may have important implications for targeted dissemination efforts. Furthermore, not all youth exposed to neighborhood disadvantage may exhibit alterations in reward reactivity, highlighting the need to consider factors that may exacerbate risk for blunted reward reactivity. The current study examined associations between geocoded indices of neighborhood disadvantage and electrocortical reward responsivity in youth and tested whether findings were moderated by maternal history of depression. The sample included 137 youth recruited for studies on the intergenerational transmission of depression. Neighborhood disadvantage was assessed using the Area Deprivation Index (ADI) while the reward positivity (RewP), an event-related potential, indexed reward response. Results revealed a significant interaction between ADI and maternal history of depression on youth RewP, such that greater neighborhood disadvantage was significantly associated with lower reward responsiveness, but only for youth with a maternal history of depression. Results were maintained controlling for youth internalizing symptoms and individual-level socioeconomic factors. Findings suggest that neighborhood disadvantage may impact youth neural reward processing, at least partially independently of individual risk factors, for youth with a maternal history of depression. If replicated, results suggest intervention efforts may be implemented at the community level to enhance reward responsiveness, specifically for youth living in low-resourced neighborhoods with a maternal history of depression.

Association between individual-level socioeconomic factors and intimate partner violence victimisation in women: a systematic review protocol

IntroductionIntimate partner violence (IPV) is a global public health problem. Although both men and women experience IPV, the burden is more on women. To address IPV effectively, it is important...

Impact of socioeconomic disparities on outcomes in adults undergoing allogeneic hematopoietic cell transplantation for acute myeloid leukemia.

Racial and socioeconomic disparities impact outcomes after chemotherapy and limit access to allogeneic hematopoietic cell transplantation (HCT) in acute myeloid leukemia (AML), yet studies have yielded mixed results on the influence of disparities on post-HCT outcomes. Therefore, we studied 1024 adults with AML who underwent allogeneic HCT between 5/2006 and 10/2021 at a single large university-affiliated cancer center. Collected data included non-biologic and demographic characteristics (including race/ethnicity, marital status, distance traveled, and household size), transplant- and disease-related characteristics, and area-level and individual-level socioeconomic factors (i.e., area deprivation index and occupational status). After multivariable adjustment, no socioeconomic- or non-biologic factors were associated with non-relapse mortality (NRM), overall survival (OS), relapse-free survival (RFS), or relapse except being married (associated with improved NRM: hazard ratio [HR] = 0.7 [0.50-0.97]) and having no insurance (associated with worse OS: HR = 1.49 [1.05-2.12] and RFS: HR = 1.41 [1.00-1.98]). Despite a relatively racially homogenous cohort, Asian race was associated with improved NRM (HR = 0.47 [0.23-0.93]) and American Indian/Alaskan Native race was associated with higher relapse risk (HR = 2.45 [1.08-5.53]). In conclusion, in our retrospective analysis, socioeconomic-, demographic-, and non-biologic factors had limited impact on post-HCT outcomes in AML patients allografted in morphologic remission. Further research is needed to investigate disparities among HCT-eligible patients.

Association of Neighborhood Opportunity With Severity of Retinoblastoma at Presentation

PurposeTo examine the relationship between the Child Opportunity Index (COI) and severity of retinoblastoma at presentation. DesignCross-sectional study. MethodsChildren (age <18 years) treated for retinoblastoma at a tertiary care center between January 2000 and May 2023 were included. Residential census tract was used to determine the overall and domain-specific COI score for each child. Collected variables included age, sex, race/ethnicity, insurance type, and the International Classification of Retinoblastoma (ICRB) Group at initial examination. The primary outcome was Group D or E retinoblastoma at presentation. Mixed effects regression models were used to estimate the association of COI scores with disease severity at presentation. ResultsThis study included 125 children (51.2% male). Median age at diagnosis was 13 months (IQR, 5-24 months). 109 (87.2%) of children presented with Group D or E retinoblastoma and 33 (26.4%) resided in low or very low opportunity neighborhoods. Children residing in neighborhoods with low overall COI scores (OR, 1.62; 95% CI, 1.01-2.58; p=0.044) and low education COI scores (OR, 1.77; 95% CI, 1.13-2.79; p=0.013) were at increased odds of presenting with ICRB Group D or E retinoblastoma after adjusting for individual-level socioeconomic factors. ConclusionChildren residing in low opportunity neighborhoods – particularly low education opportunity – more often presented with advanced stage retinoblastoma than children residing in neighborhoods with higher opportunity scores. Efforts to improve preventative vision care and access to eye specialty care for children residing in low-resource areas are needed to reduce existing disparities in retinoblastoma.

Preschool-level socio-economic deprivation in relation to emotional and behavioural problems among preschool children in Sweden.

The aim of this study was to explore the association between preschool-level socio-economic deprivation and emotional and behavioural problems among preschool children in Sweden using a multilevel approach. In this cross-sectional study, we used data on 2267 children whose parents and preschool teachers had responded to items measuring individual-level socio-economic deprivation and the Strengths and Difficulties Questionnaire (SDQ) for assessment of emotional and behavioural problems. Further, the Socioeconomic Structure Compensation Index (SSCI), collected from Uppsala municipality, was used to assess preschool-level socio-economic deprivation. Unadjusted and adjusted multilevel logistic regression models were used to explore the relations between preschool-level socio-economic deprivation and emotional and behavioural problems. In unadjusted models, children who attended preschools classified as highly deprived had elevated odds for emotional symptoms (odds ratio (OR) 1.71) as rated by parents. However, this association did not remain significant after adjusting for individual-level socio-economic deprivation factors. In both unadjusted and adjusted models, children who attended preschools classified as moderately deprived had elevated odds for peer-relationship problems as rated by parents (OR 1.63; adjusted OR 1.48). There were no significant associations between preschool deprivation and emotional and behavioural problems as rated by preschool teachers. Swedish preschools may have a compensatory capacity in addressing children's emotional and behavioural problems, whereas preschool-level deprivation remained significantly associated with peer-relationship problems after controlling for individual-level socio-economic deprivation factors. This implies that peer-relationship problems in deprived preschools need to be addressed in a broader community context.

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.

Neighborhood Socioeconomic Disadvantage and Distance from Treatment Center Do Not Impact Survival Outcomes of Patients with Non-Hodgkin Lymphoma and Multiple Myeloma Treated with CAR T-Cell Therapies

Introduction: Chimeric antigen receptor (CAR) T-cell therapies have radically changed the treatment paradigm of patients (pts.) with relapsed/refractory (r/r) hematologic malignancies. Despite their remarkable efficacy, health care disparities can impact outcomes of pts. in the real-world setting. Living in a disadvantaged neighborhood has been associated with inferior outcomes after allogenic hematopoietic stem cell transplantation (HSCT), independent from individual-level socioeconomic (SE) factors. Our study aimed to identify the impact of neighborhood adversity on survival outcomes of recipients of CAR T-cell therapies, as this has not been yet described. Methods: We retrospectively identified consecutive adult pts. with r/r B-cell non-Hodgkin lymphoma (B-NHL) and multiple myeloma (MM) who received CAR T-cell therapies at our center from May 2018- January 2023. Neighborhood disadvantage was defined by Area Deprivation Index (ADI), a validated tool that allows for ranking of census block groups based on SE domains (income, education, employment, and housing quality) at a national level. The 2021 national ADI percentile ranks (1-100) were obtained for each pt. using the 9-digit zip code of place of residence, with a higher rank corresponding to higher level of disadvantage. We compared overall survival (OS) and progression free survival (PFS) between pts. with high vs. low ADI. We also examined survival outcomes in relation to estimated distance from place of residence to treatment center (DTC). Time dependent outcomes were calculated from date of CAR T infusion. Pts. with B-NHL and MM were analyzed separately. Baseline variables were compared between groups using chi-squared, t-test, and Wilcoxon rank sum tests as appropriate. Survival estimates were calculated with Kaplan-Meier method, and hazard ratios were generated using cox proportional hazards model. Results: CAR T therapy was administered in 124 and 45 pts. with B-NHL and MM, respectively. Median ages were 65 and 62 yrs., 68% and 51% were male, 94% and 84% were White, 47% and 20% had high-risk disease (based on IPI/MIPI for B-NHL, and FISH for MM), 30% and 69% had prior HSCT, and median number of prior therapies were 3 (range 1-6) and 6 (range 4-14), among pts. with B-NHL and MM, respectively. B-NHL subtypes included DLBCL (84%), MCL (6%), FL (5%), and PMBCL (5%), and CAR T products for B-NHL were axi-cel (52%), tisa-cel (24%), liso-cel (18%) and brexu-cel (6%). Ide-cel (82%) and cilta-cel (18%) were used in pts. with MM. We treated pts. from 169 census block groups over 8 states, although 89% pts. were from Ohio. For the entire cohort, median ADI rank was 62.5 (range 1-100) and median DTC was 42.5 (range 1-4559) miles (m). Pts. were categorized (based on median) as having high (&amp;gt; 62.5) or low (≤ 62.5) ADI, and long (&amp;gt; 42.5m) or short (≤ 42.5m) DTC. Longer DTC was significantly associated with higher ADI ( p&amp;lt;0.001). Baseline characteristics (age, sex, prior therapies, prior HSCT, high risk disease, CAR T product) were similar across groups with low vs. high ADI and short vs. long DTC. Median follow up time up was 12 (range 4-60) and 9 (range 4-22) months for living pts. with B-NHL and MM, respectively. For pts. with B-NHL, objective response rates (ORR) (85% vs. 80%; p=0.4), relapse rates (RR) (66% vs. 66%; p=0.9), median OS (19 vs. 14 months; HR of death: 1.2; 95% CI 0.7-1.8; p=0.5) ( Fig.1), and median PFS (10 vs. 5 months, HR of relapse: 1.1, 95% CI 0.7-1.7; p=0.6) were similar for pts. with low vs. high ADI. For pts. with MM, there were no differences in ORR (77% vs. 87%; p=0.3), RR (77% vs. 70%; p=0.5), median OS (14 vs. 18 months; HR of death: 0.8; 95% CI: 0.3-2; p=0.6) ( Fig.2), and median PFS (7 vs. 9 months, HR of relapse: 0.7, 95% CI 0.3-1.4; p=0.3) between those with low vs. high ADI. There were no differences in median OS of pts. with short vs. long DTC for NHL (19 vs. 14 months; HR: 1.2, 95% CI 0.7-1.9, p=0.4) or MM (14 vs. 20 months; HR: 0.9, 95% CI 0.3-2.5; p=0.9), or when DTC was analyzed as a continuous variable. Conclusion: In patients with r/r B-NHL and MM who received CAR T-cell therapies, response rates and survival outcomes were comparable regardless of neighborhood disadvantage level or distance to treatment center. Pts. living in more disadvantaged neighborhoods travelled longer distances for treatment. These findings prompt future investigation into referral patterns and access barriers to cellular immunotherapy, especially in disadvantaged neighborhoods.

Influence of neighborhood-level socioeconomic deprivation and individual socioeconomic position on risk of developing type 2 diabetes in older men: a longitudinal analysis in the British Regional Heart Study cohort

IntroductionEvidence from longitudinal studies on the influence of neighborhood socioeconomic deprivation in older age on the development of type 2 diabetes mellitus (T2DM) is limited. This study investigates the prospective...

Association between socioeconomic status with pregnancy and neonatal outcomes: An international multicenter cohort.

Previous evidence examining the association between socioeconomic status and pregnancy complications are conflicted and often limited to using area-based measures of socioeconomic status. In this study, we aimed to examine the association between individual-level socioeconomic factors and a wide range of adverse pregnancy and neonatal outcomes using data from the IMPROvED birth cohort conducted in Sweden, the Netherlands and Republic of Ireland. The study cohort consisted of women who participated in the IMPROvED birth cohort between 2013 and 2017. Data on socioeconomic factors were self-reported and obtained at 15 weeks' gestation, and included level of education, employment status, relationship status, and income. Data on pregnancy and neonatal outcomes included gestational hypertension, pre-eclampsia, gestational diabetes mellitus, emergency cesarean section, preterm birth, post term delivery, small for gestational age and Apgar score at 1 min. These data were obtained within 72 h following delivery and confirmed using medical records. Multivariable logistic regression examined the association between each socioeconomic variable and each outcome separately adjusting for maternal age, maternal body mass index, maternal smoking, maternal alcohol consumption and cohort center. We also examined the effect of exposure to any ≥2 risk factors compared to none. A total of 2879 participants were included. Adjusted results suggested that those with less than third level of education had an increased odds of gestational hypertension (OR: 1.74, 95% CI: 1.23-2.46), while those on a middle level of income had a reduced odds of emergency cesarean section (OR: 0.59, 95% CI: 0.42-0.84). No significant associations were observed between socioeconomic variables and neonatal outcomes. Exposure to any ≥2 socioeconomic risk factors was associated with an increased risk of preterm birth (OR: 1.75, 95% CI: 1.06-2.89). We did not find strong evidence of associations between individual-level socioeconomic factors and pregnancy and neonatal outcomes in high-income settings overall, with only few significant associations observed among pregnancy outcomes.

The Impact of Neighborhood and Socioeconomic Disparities on Distal Radius Fracture Follow-Up Adherence.

The aims of this retrospective cohort study were (1) to assess whether the Area Deprivation Index (ADI), a novel neighborhood-level socioeconomic disparities metric, is associated with follow-up nonadherence, and (2) to determine the individual-level socioeconomic factors associated with follow-up nonadherence after treatment of distal radius fractures (DRFs). The authors included all patients who underwent nonoperative or operative management of DRFs at an academic level I trauma center between 2019 and 2021. A manual chart review was performed to collect data on ADI, sociodemographic factors, injury characteristics, conservative and surgical interventions, and health care utilization. There was a significant weak negative Spearman-ranked correlation between ADI state deciles and clinic attendance rates ( rs [220] = -0.144 [95% CI, -0.274 to -0.009]; P = 0.032). Socioeconomic factors associated with significant differences in clinic attendance rates were having a spouse or partner (protective) ( P = 0.007), Medicaid insurance ( P = 0.013), male sex ( P = 0.023), and current smoking ( P = 0.026). Factors associated with differences in no-show rates were having a spouse or partner (odds ratio [OR], 0.326 [95% CI, 0.123 to 0.867]; P = 0.025), Medicaid insurance (OR, 7.78 [95% CI, 2.15 to 28.2]; P = 0.002), male sex (OR, 4.09 [95% CI, 1.72 to 9.74]; P = 0.001), and cigarette use (OR, 5.07 [95% CI, 1.65 to 15.6]; P = 0.005). ADI has a weak, negative correlation with clinic attendance rates after DRF treatment. Significant disparities in clinic follow-up adherence exist between patients on the basis of marital status, insurance, sex, and cigarette use. Risk, III.

Investigating the Associations Between Socioeconomic Factors and Unhealthy Days among Adults Using Zero-inflated Negative Binomial Regression

Poor social and economic circumstances affect the health of individuals throughout the life cycle. The purpose of the study was to examine whether state-level and individual-level socioeconomic factors are associated with mentally or physically unhealthy days in the general U.S. population of adults. The Behavioral Risk Factor Surveillance System and the American Community Survey in 2016 were used to examine state-level social determinants of health and the number of self-reported mentally unhealthy days in the last 30 days using Zero-Inflated Negative Binomial (ZINB) regression models. Men, older individuals, minorities, persons with higher educational attainment levels, persons who were employed, persons who were married, or with a partner, and persons with one or zero chronic condition were more likely to report excessive zeros for responses to the mentally, and physically unhealthy days. The negative binomial regression results indicated that higher state-level poverty rates, higher income inequity, lower median income, and higher unemployment rates were related to the higher number of reported mentally, and physically unhealthy days. Persons with higher educational attainment, and who were employed reported lower mentally, and physically unhealthy days. The findings show significant relationships between socioeconomic contexts and general health status. Health planners and policymakers may use the results to allocate resources and guide public policies and programs.

Abstract P433: Predictors of Self-Reported Medication Non-Adherence in Older Adults: The Atherosclerosis Risk in Communities Study

Introduction: Medication non-adherence increases the risk of hospitalization and mortality in older adults. Evidence from previous studies was not conclusive due to small sample size or lack of adjustment for potential confounders. This study aims to investigate the prevalence and predictors of medication non-adherence in older adults, considering both individual-level and neighborhood-level factors. Methods: We studied participants (aged 66-90 years) who were on at least one medication at visit 5 (2011-2013) of the ARIC Study. Potential predictors included demographic factors, individual-level and neighborhood-level socioeconomic factors, behavioral factors, depressive symptoms, and cognitive function. We estimated the prevalence of self-reported medication adherence using the Morisky Green Levine medication adherence questionnaire and considered intermediate and low as medication non-adherence. We used multivariable logistic regression to identify independent predictors of medication non-adherence, further adjusting for race-center, insurance types, comorbidities, and number of medications. Results: Among 5304 participants (mean age of 75.5 [SD 5.1] years, 21.6% Black, and 58.2% female), 2.3% and 37.1% reported low and intermediate medication adherence, respectively. After adjustment, age 66-74 (odds ratio [OR]= 1.23 [95% CI, 1.10-1.38]), current drinker (1.31 [1.10-1.55]), lack of physical activity (PA) (1.18 [1.01-1.37] for intermediate PA; 1.38 [1.21-1.58] for low PA), and depressive symptoms (2.30 [1.82-2.91]) were significant predictors of medication non-adherence ( Table ). Education and ADI were not associated with medication non-adherence. Conclusions: We found that almost 40% of older adults have medication non-adherence. Unhealthy lifestyle factors and depressive symptoms were associated with medication non-adherence. Education and neighborhood-level SES were not. Depression is an important modifiable factor to improve medication adherence in older adults.