Individual Socioeconomic Status Research Articles

Childhood Community Disadvantage and MRI-Derived Structural Brain Integrity After Age 65 Years

Prior studies associate late-life community disadvantage with worse brain health. It is relatively unknown if childhood community disadvantage associates with late-life brain health. To test associations between childhood residence in an economically disadvantaged community, individual income and education, and late-life cortical brain volumes and white matter integrity. This cohort study was conducted in the ongoing harmonized cohorts KHANDLE (Kaiser Healthy Aging and Diverse Life Experiences Study; initiated 2017) and STAR (Study of Healthy Aging in African Americans; initiated 2018) using all available data collected out of a regional integrated health care delivery network in California between cohort initiation and analysis initiation in June 2023. Eligible participants were Kaiser Permanente Northern California member ages 65 years or older. Data were analyzed between June and November 2023. Residence at birth was geocoded and linked to historical Area Deprivation Indices (ADI). ADI is a nationally ranked percentile; community disadvantage was defined as ADI of 80 or higher. Regional brain volumes and white matter integrity measures were derived from a random subset of participants who underwent 3T magnetic resonance imaging. Models adjusted for race and ethnicity, sex, and parental education. Of a total 2161 individuals in the combined cohort, 443 individuals were eligible for imaging (mean [SD] age, 76.3 [6.5] years; 253 female [57.1%]; 56 Asian [12.6%], 212 Black [47.9%], 67 Latino [15.1%], 109 White [24.6%]). Imaging participants had a mean (SD) 15.0 (2.5) years of education, and 183 (41.3%) earned $55 000 to $99 999 annually. Fifty-four participants (12.2%) resided in a disadvantaged childhood community. Childhood community disadvantage was associated with smaller gray matter volumes overall (-0.39 cm3; 95% CI, -0.65 to -0.10 cm3) and in the cerebellum (-0.39 cm3; 95% CI, -0.66 to -0.09 cm3), hippocampus (-0.37 cm3; 95% CI, -0.68 to -0.04 cm3), and parietal cortex (-0.25 cm3; 95% CI, -0.46 to -0.04 cm3) and larger mean lateral ventricle (0.44 cm3; 95% CI, 0.12 to 0.74 cm3), third ventricle (0.28 cm3; 95% CI, 0.03 to 0.55 cm3), and white matter hyperintensity volume (0.31 cm3; 95% CI, 0.06 to 0.56 cm3). Educational attainment and late-life income did not mediate these associations. In this cohort study of racially and ethnically diverse health plan members, childhood community disadvantage was associated with worse late-life brain health independent of individual socioeconomic status. Future work should explore alternative pathways (eg, cardiovascular health) that may explain observed associations.

Individual and community socioeconomic status and receipt of influenza vaccines among adult primary care patients in a large academic health system: 2017-2019

Individual and community socioeconomic status and receipt of influenza vaccines among adult primary care patients in a large academic health system: 2017-2019

Socioeconomic inequalities and dyslipidaemia in adult population of the Ravansar Non-Communicable Disease Cohort Study: the role of sex and age

ObjectivesThis study represents a pioneering attempt to quantify the contribution of age, sex and socioeconomic status (SES) to the observed inequalities in lipid profile components.DesignCross-sectional study.SettingThe data from the Ravansar...

Material and social deprivation associated with public health actual causes of death among older people in Europe: longitudinal and multilevel results from the Survey of Health, Ageing and Retirement in Europe (SHARE).

Adverse socioeconomic conditions at the individual and regional levels are associated with an increased risk of mortality. However, few studies have examined this relationship using multilevel analysis and, if so, only within a single country. This study aimed to examine this relationship using data from several European countries. Individual-level data were obtained from Waves 5 to 9 of the Survey of Health, Ageing and Retirement in Europe, while regional-level data were obtained from the Luxembourg Income Study Database. Cox regression analysis with gamma-shared frailty and a random intercept for country of residence was used to examine the association between individual mortality from all causes, cancer, heart attack, and stroke and measures of socioeconomic deprivation at the individual level, including material and social deprivation indices, and at the area level, including the Gini index. The risk of mortality from all causes was increased for respondents with material deprivation (hazard ratio (HR) = 1.77, 95% CI = [1.60, 1.96]) and social deprivation (HR = 7.63, 95% CI = [6.42, 9.07]) compared with those without. A similar association was observed between individual deprivation and the risk of mortality from cancer, heart attack, or stroke. Regional deprivation had a modest contextual effect on the individual risk of death from all causes and cancer. However, when individual-level deprivation was included in the models, no contextual effects were found. The results indicate that individual socioeconomic conditions significantly predict causes of death in older European adults, with those with material deprivation and social deprivation having a higher risk of death from all causes, including cancer, heart attack, and stroke, while the Gini index has a minimal effect, although the Gini index reflects regional disparities across Europe.

Social Inequalities in mental health service use and perceived helpfulness: A global analysis across 111 countries

Abstract Social inequalities in mental health are evident in the prevalence of mental health problems, but also the utilisation and patents’ perceived benefits of treatment. However, the extent of these disparities on a global scale and whether there are country-level differences in the predictors of mental health service use remain unknown. This study uses data from the Wellcome Global Monitor 2020, a nationally representative survey encompassing 111 countries and 117,088 individuals. We examine the association of socio-economic factors (such as household income and education), psycho-social factors (including stigma perception and trust in health professionals), and country-level variables (such as GDP, Gini coefficient, and health expenditure) with mental health service use and perceived effectiveness of treatment. Multi-level logistic regression models were employed for analysis. The utilisation of mental health professions of people with depression or anxiety symptomology is higher in HICs (predicted probability of 62% CI[0.60 - 0.65]) compared to LIMCs (predicted probability of 33% CI[0.31 - 0.34]). Higher country GDP (OR = 1.26 CI[1.08-1.47]) and health expenditure (OR = 1.11 CI[1.04-1.19] per percentage of health expenditure) are associated with higher treatment utilisation. On the individual level, those in the wealthiest quintile are more likely to engage with mental health professionals (OR = 1.25[1.14-1.36]) and perceive this treatment as highly beneficial (OR = 1.23[1.07-1.40]). Trust in healthcare practitioners and perceived stigma are also associated with mental healthcare use. This analysis shows strong patterns of mental healthcare use and perceived benefits depending on the wealth of the country, health expenditure and individual socio-economic status. Moreover, disparities in treatment utilization and effectiveness are also influenced by trust in healthcare professionals and perceived mental health stigma.

Socio-Economic Status of Individuals in Tehran University of Medical Sciences Employees` Cohort Study Using PCA, MCA and FAMD Methods

Introduction: Determining socio-economic status (SES) can greatly help decision makers in the field of social health. Because SES can play an important role in accessing medical services or welfare amenities. We aimed to determine the SES using principal component analysis (PCA), multiple correspondence analysis (MCA), and factor analysis of mixed data (FAMD) methods. Methods: In this cross-sectional study (2023), 4448 employees aged 19 to 75 years were included to the study from Tehran University of Medical Sciences employees` cohort (TEC). Demographic variables and socioeconomic factors were considered. Considering the weaknesses of PCA and MCA methods, we calculated the SES score using PCA, MCA and FAMD methods, and the percentile of people was determined. These weaknesses include normality assumption and considering only linear relationship for PCA, inability to interpret the relationships between variables and considering each level of classification variables as a new variable for MCA. Results: We studied 4448 people (39.3% men) with mean age of 42.3 and a standard deviation of 8.7.The correlation between the percentiles obtained through PCA, MCA and FAMD methods was very high, and the highest correlation was related to the percentiles obtained through PCA and FAMD methods with a value of 0.994. The intraclass correlation coefficient value was 0.996. Also, this value was 0.996 and 0.994 in the random samples of 250 and 100 individuals from the original data, respectively. Conclusion: All of the three methods worked similarly on determining the SES and calculating the percentile of people. PCA and FAMD methods had better agreement than others. Therefore, in studies that have both quantitative and qualitative variables, the choice of analysis method depends on the opinion of the researcher.

Association of socioeconomic status and life’s essential 8 with cardiovascular diseases and all-cause mortality in north China: Kailuan study

BackgroundWe aimed to explore the association of socioeconomic status (SES) and life’s essential 8 (LE8) with cardiovascular disease (CVD) and all-cause mortality in north China.MethodsA total of 91,365 adults from the Kailuan study were included in this study. Comprehensive individual SES, mainly including monthly household income, education, Occupation position, and community environment, was confirmed by latent class analysis. Furthermore, the mediation and combination effects of SES and LE8 on CVD and all-cause mortality were further assessed. The Cox regression model was conducted to estimate HRs and 95% CI.ResultsDuring about 13 years of follow-up, 7,646 cardiovascular events and 11,749 deaths were recorded. Relative to the high SES, there were decreased risks of CVD [HR (95% CI): 1.57(1.43–1.72)] and high all-cause death [HR (95% CI): 1.43(1.31–1.53)] in the low SES. The associations between SES and CVD [Mediation % (95% CI): 22.3 (16.4–30.4)] and mortality [Mediation % (95% CI): 10.1 (7.1–14.0)] were partially mediated by LE8 when comparing medium SES to high SES. Meanwhile, relative to high LE8, the elevated risk of death [HR (95% CI): 1.72(1.56–1.89)], and incident CVD [HR (95% CI): 3.34(2.91–3.83)] were detected in low LE8. Compared to participants who had the high SES and LE8, participants who had both the low SES and LE8 further increased the risk of CVD [HR (95% CI): 7.76(5.21–11.55)] and all-cause mortality [HR (95% CI): 2.80(2.19–3.58)].ConclusionLow SES was related to a higher risk of CVD and mortality in low- and middle-income countries, which was partially mediated by LE8.

Associations of individual characteristics and socioeconomic status with heated tobacco product harmfulness perceptions in Japan: A nationwide cross-sectional study (INFORM Study 2020).

IntroductionIn Japan, heated tobacco products (HTPs) are promoted by the tobacco industry as reduced-risk tobacco products despite the lack of evidence for this claim. This study determined the distribution of HTP-harmfulness perception and identify the explanatory factors associated with the perception of HTP as less harmful than conventional cigarettes.MethodsA nationwide cross-sectional survey was conducted with Japanese people aged 20 years or older (INFORM Study 2020) using a self-administered questionnaire. We performed descriptive analysis and weighted logistic regression analysis to examine the relationship between explanatory factors (e.g., individual characteristics, socioeconomic status, and trusted sources of cancer information) and the perception of HTPs as less harmful.ResultsAmong 3,420 participants (response rate: 35.2%), the proportions of those who perceived HTPs as less harmful were 40.3% and 18.3% for users and non-users of tobacco, respectively. For participants aged 20-39 years, the proportion were 49.9% and 30.4%, respectively. Among 1,160 non-tobacco users who were familiar with HTPs, male, aged under 39 years, and had lower education were associated with the perception of HTPs as less harmful. Trusted sources of cancer information were not associated with the perception of HTPs as less harmful.ConclusionsThis study showed that, among non-tobacco users, being male, aged under 39 years, and lower education were associated with a perception of HTPs as less harmful. Public health stakeholders should provide the latest evidence about HTP harmfulness in their daily practice, and strengthen the regulations on HTP marketing directed at both tobacco- and non-tobacco users.

Individual socioeconomic status, neighborhood disadvantage, and cognitive aging: A longitudinal analysis of the CLSA.

There are likely many contributors to variation in the rate of cognitive decline in middle and late adulthood, including individual and neighborhood socio-economic factors. This study examines whether individual socio-economic factors, namely income and wealth, correlate with cognitive decline, in part, through neighborhood-level social and material disadvantage. Using the three waves of data collection from the Canadian Longitudinal Study on Aging (CLSA), this study included 51,338 participants between the age of 45 and 85 years at baseline (51% female). Individual socio-economic status (SES) was assessed by annual household income and by the current value of savings and investments. Neighborhood disadvantage was measured by area-based material and social deprivation indices. Cognition was measured at each wave using verbal fluency, mental alternations, and delayed word recall. Latent change score models, incorporating direct and indirect pathways, were constructed to estimate the indirect effect of individual SES on cognitive change through area-level disadvantage. Multi-group models were constructed on the basis of age-group (45-64 years; 65-74 years; or 75+ years) to allow for varying estimates across age. Among 45-64-year-olds, income and wealth had indirect effects on initial cognitive level and on rate of cognitive decline through material disadvantage (standardized indirect effects = 0.01, p < 0.001), but only wealth had an indirect effect through social disadvantage (p = 0.019). Among 65-74-year-olds, income and wealth had indirect effects on initial cognitive level (p < 0.01) but not on rate of cognitive decline (p > 0.05), and among 75+ year-olds, no indirect effects were observed (p > 0.05). Wealth and income had direct effects, independent of neighborhood disadvantage, on cognition in all age groups (p < 0.05). Among middle-aged adults, greater individual SES may mitigate cognitive decline, in part, by allowing individuals to live in more materially and socially advantaged neighborhoods.

Interplay between childhood socioeconomic status and current job insecurity: A dual-contextual approach to decent work and well-being.

Grounded in the psychology of working theory, the link between economic constraints and decent work is well established. However, previous studies did not incorporate a developmental framework when examining this relationship. Drawing on a life history perspective, this study explored how childhood socioeconomic status (SES) is associated with well-being through decent work. We adopted a dual-contextual approach, examining the interaction between childhood SES and current job insecurity as a predictor of decent work and well-being. Using data collected from 417 workers in South Korea, we tested a moderated mediation model. The results revealed significant indirect relationships between childhood SES and job and life satisfaction through decent work, particularly among individuals with higher job insecurity. Notably, these findings remained significant even after controlling for participants' current SES. Overall, our findings suggest that in contexts where job insecurity is prevalent, an individual's childhood SES is distinctly associated with decent work and well-being, independent of their current SES. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Influence of Neighborhood Disadvantage and Individual Sociodemographic Conditions on Heart Failure Self-care.

Residence in socioeconomically disadvantaged neighborhoods and individual sociodemographic conditions contribute to worse heart failure (HF) outcomes and may influence HF self-care. However, associations between neighborhood disadvantage, socioeconomic conditions, and HF self-care are unclear. The purpose of this secondary analysis was to investigate whether neighborhood disadvantage and individual socioeconomic conditions predicted worse HF self-care. This study was a secondary analysis of baseline data from a mixed-method study of 82 adults with HF. Participant zip codes were assigned a degree of neighborhood disadvantage using the Area Deprivation Index. Those in the top 20% most disadvantaged neighborhoods (Area Deprivation Index ≥ 80) were compared with those in the least disadvantaged neighborhoods. The Self-Care of Heart Failure Index was used to measure self-care maintenance and monitoring. Multiple linear regression was conducted. Of all participants, 59.8% were male, 59.8% were persons of color, and the mean age was 64.87 years. Residing in a disadvantaged neighborhood and living alone predicted worse HF self-care maintenance and monitoring. Having no college education was also a predictor of worse HF self-care maintenance. Although persons of color were more likely to reside in disadvantaged neighborhoods, race was not associated with HF self-care. Residing in a disadvantaged neighborhood and living alone may be important risk factors for worse HF self-care. Differences in self-care cannot be attributed solely to the individual sociodemographic determinants of race, gender, age, annual household income, or marital status. More research is needed to understand the connection between neighborhood disadvantage and HF self-care.

Understanding the determinants of self-reported asthma in Turkey: insights from national data on individual, lifestyle, socioeconomic, and healthcare access factors

Asthma, influenced by genetic, environmental, and social factors is leading to poor outcomes and preventable mortality due to inadequate care and limited access to effective treatments. This study aimed to analyze self-reported asthma prevalence in Turkey, focusing on its determinants, such as individual factors, lifestyle, socioeconomic status, and healthcare access.This study conducts a secondary analysis of the 2019 Turkiye Health Survey (THS), employing a nationally representative cross-sectional design by the Turkish Statistical Institute. The sampling utilized a stratified, two-stage cluster sampling method, with data from 16,976 adults (aged 15 years and older) analyzed for asthma determinants. The independent variables are categorized into four domains: individual factors, lifestyle assessment, socioeconomic factors, and access to the healthcare services.The prevalence of asthma is 9.8%, varying significantly across demographics. Higher asthma rates are observed among older, divorced/widowed individuals, those with communication difficulties, and obese individuals. Cost-related unmet healthcare needs and appointment scheduling delays increase asthma risk. Logistic regression models identified age, marital status, obesity, education level, and healthcare access as significant predictors of asthma.This study underscores the multifaceted determinants of asthma in Turkey, highlighting the necessity for targeted interventions addressing individual, lifestyle, socioeconomic, and healthcare access factors.

Associations of Urban Blue and Green Spaces With Coronary Artery Calcification in Black Individuals and Disadvantaged Neighborhoods.

Proximity to urban blue and green spaces has been associated with improved cardiovascular health; however, few studies have examined the role of race and socioeconomic status in these associations. Data were from the CARDIA study (Coronary Artery Risk Development in Young Adults). We included longitudinal measurements (1985-1986 to 2010-2011) of blue and green spaces, including percentage of blue space cover, distance to the nearest river, green space cover, and distance to the nearest major park. Presence of coronary artery calcification (CAC) was measured with noncontrast cardiac computed tomography in 2010 to 2011. The associations of blue and green spaces with CAC were assessed with generalized estimating equation regression with adjustment for demographics, individual and neighborhood socioeconomic status, health-related behaviors, and other health conditions. We conducted stratified analyses by race and neighborhood deprivation score to investigate whether the association varied according to social determinants of health. The analytic sample included 1365 Black and 1555 White participants with a mean±SD age of 50.1±3.6 years. Among Black participants, shorter distance to a river and greater green space cover were associated with lower odds of CAC (per interquartile range decrease [1.45 km] to the river: odds ratio [OR], 0.90 [95% CI, 0.84-0.96]; per 10 percentage-point increase of green space cover: OR, 0.85 [95% CI, 0.75-0.95]). Among participants in deprived neighborhoods, greater green space cover was associated with lower odds of CAC (per a 10 percentage-point increase: OR, 0.89 [95% CI, 0.80-0.99]), whereas shorter distance to the park was associated with higher odds of CAC (per an interquartile range decrease [5.3 km]: OR, 1.07 [95% CI, 1.00-1.15]). Black participants in deprived neighborhoods had lower odds of CAC with shorter distance to a river (per an interquartile range decrease: OR, 0.90 [95% CI, 0.82-0.98]) and greater green space cover (per a 10 percentage-point increase: OR, 0.85 [95% CI, 0.75-0.97]). There was no statistical interaction between the blue and green spaces and race or neighborhood characteristics in association with CAC. Longitudinally, shorter distance to a river and greater green space cover were associated with less CAC among Black participants and those in deprived neighborhoods. Shorter distance to a park was associated with increased odds of CAC among participants in deprived neighborhoods. Black participants residing in more deprived neighborhoods showed lower odds of CAC in association with greater exposure to river and green space cover.

Air pollution exposure and mortality from neurodegenerative diseases in the Netherlands: A population-based cohort study

BackgroundLong-term exposure to ambient air pollution has been linked with all-cause mortality and cardiovascular and respiratory diseases. Suggestive associations between ambient air pollutants and neurodegeneration have also been reported, but due to the small effect and relatively rare outcomes evidence is yet inconclusive. Our aim was to investigate the associations between long-term air pollution exposure and mortality from neurodegenerative diseases. MethodsA Dutch national cohort of 10.8 million adults aged ≥30 years was followed from 2013 until 2019. Annual average concentrations of air pollutants (ultra-fine particles (UFP), nitrogen dioxide (NO2), fine particles (PM2.5 and PM10) and elemental carbon (EC)) were estimated at the home address at baseline, using land-use regression models. The outcome variables were mortality due to amyotrophic lateral sclerosis (ALS), Parkinson's disease, non-vascular dementia, Alzheimer's disease, and multiple sclerosis (MS). Hazard ratios (HR) were estimated using Cox models, adjusting for individual and area-level socio-economic status covariates. ResultsWe had a follow-up of 71 million person-years. The adjusted HRs for non-vascular dementia were significantly increased for NO2 (1.03; 95% confidence interval (CI) 1.02–1.05) and PM2.5 (1.02; 95%CI 1.01–1.03) per interquartile range (IQR; 6.52 and 1.47 μg/m3, respectively). The association with PM2.5 was also positive for ALS (1.02; 95%CI 0.97–1.07). These associations remained positive in sensitivity analyses and two-pollutant models. UFP was not associated with any outcome. No association with air pollution was found for Parkinson's disease and MS. Inverse associations were found for Alzheimer's disease. ConclusionOur findings, using a cohort of more than 10 million people, provide further support for associations between long-term exposure to air pollutants (PM2.5 and particularly NO2) and mortality of non-vascular dementia. No associations were found for Parkinson and MS and an inverse association was observed for Alzheimer's disease.

Association between hospital procedure volume, socioeconomic status, comorbidities, and adverse events related to surgical abortion: a nationwide population-based cohort study

BackgroundLimited evidence exists on the influence of hospital procedure volume, socioeconomic status, and comorbidities on surgical abortion outcomes. ObjectiveOur study aimed to assess the association between hospital procedure volume, individual and neighborhood deprivation, comorbidities, and abortion-related adverse events. Study DesignA nationwide population-based cohort study of all women hospitalized for surgical abortion was conducted from January 1, 2018, to December 31, 2019 in France. Annual hospital procedure volume was categorized into four levels based on spline function visualization: very low (<80), low ([80-300[), high ([300-650[), and very high-volume (≥650) centers. The primary outcome was the occurrence of at least one surgical-related adverse event, including hemorrhage, retained products of conception, genital tract and pelvic infection, transfusion, fistulas and neighboring lesions, local hematoma, failure of abortion, admission to an intensive care unit or death. These events were monitored during the index stay and during a subsequent hospitalization up to 90 days. The secondary outcome encompassed general adverse events not directly linked to surgery. ResultsOf the 112,842 hospital stays, 4,951 (4.39%) had surgical-related adverse events and 256 (0.23%) had general adverse events. The multivariate analysis showed a volume-outcome relationship, with lower rates of surgical-related adverse events in very high-volume (2.25%, aOR=0.34, 95%CI [0.29-0.39], p<0.001), high-volume (4.24%, aOR=0.61, 95%CI [0.55-0.69], p<0.001), and low-volume (4.69%, aOR=0.81, 95%CI [0.75-0.88], p<0.001) when compared to very low-volume centers (6.65%). Individual socioeconomic status (aOR=1.69, 95%CI [1.47-1.94], p<0.001), neighborhood deprivation (aOR=1.31, 95% CI [1.22-1.39], p<0.001), and comorbidities (aOR=1.79, 95%CI [1.35-2.38], p<0.001) were associated with surgical-related adverse events. Conversely, the multivariate analysis of general adverse events did not reveal any volume-outcome relationship. ConclusionThe presence of a volume-outcome relationship underscores the need for enhanced safety standards in low-volume centers to ensure equity in women's safety during surgical abortions. However, our findings also highlight the complexity of this safety concern which involves multiple other factors including socioeconomic status and comorbidities that policymakers must consider.

Racial Fairness of Individual- and Community-Level Proxies of Socioeconomic Status Among Birthing Parent-Child Dyads.

While precision medicine algorithms can be used to improve health outcomes, concerns have been raised about racial equity and unintentional harm from encoded biases. In this study, we evaluated the fairness of using common individual- and community-level proxies of pediatric socioeconomic status (SES) such as insurance status and community deprivation index often utilized in precision medicine algorithms. Using 2012-2021 vital records obtained from the Ohio Department of Health, we geocoded and matched each residential birth address to a census tract to obtain community deprivation index. We then conducted sensitivity and specificity analyses to determine the degree of match between deprivation index, insurance status, and birthing parent education level for all, Black, and White children to assess if there were differences based on race. We found that community deprivation index and insurance status fail to accurately represent individual SES, either alone or in combination. We found that deprivation index had a sensitivity of 61.2% and specificity of 74.1%, while insurance status had a higher sensitivity of 91.6% but lower specificity of 60.1%. Furthermore, these inconsistencies were race-based across all proxies evaluated, with greater sensitivities for Black children but greater specificities for White children. This may explain some of the racial disparities present in precision medicine algorithms that utilize SES proxies. Future studies should examine how to mitigate the biases introduced by using SES proxies, potentially by incorporating additional data on housing conditions.

Linking sequences of exposure to residential (dis)advantage, individual socioeconomic status, and health

Life course theories suggest that the relationship between residential (dis)advantage and health is best understood by examining the ordering and duration of cumulative exposures across the life course. This study employs sequence and cluster analysis on two decades of residential histories linked to the Survey of the Health of Wisconsin to define typologies of exposure to residential (dis)advantage and use these typologies to predict self-rated fair/poor health. Exposure to residential (dis)advantage is mostly stable across the adult life course and greater disadvantage predicts fair/poor health. Longitudinal exposures to residential (dis)advantage shape health independently of and in tandem with individual-level resources.

Epidemiology of HPV-associated cancers past, present and future: towards prevention and elimination.

Cervical cancer is the first cancer deemed amenable to elimination through prevention, and thus lessons from the epidemiology and prevention of this cancer type can provide information on strategies to manage other cancers. Infection with the human papillomavirus (HPV) causes virtually all cervical cancers, and an important proportion of oropharyngeal, anal and genital cancers. Whereas 20th century prevention efforts were dominated by cytology-based screening, the present and future of HPV-associated cancer prevention relies mostly on HPV vaccination and molecular screening tests. In this Review, we provide an overview of the epidemiology of HPV-associated cancers, their disease burden, how past and contemporary preventive interventions have shaped their incidence and mortality, and the potential for elimination. We particularly focus on the cofactors that could have the greatest effect on prevention efforts, such as parity and human immunodeficiency virus infection, as well as on social determinants of health. Given that the incidence of and mortality from HPV-associated cancers remain strongly associated with the socioeconomic status of individuals and the human development index of countries, elimination efforts are unlikely to succeed unless prevention efforts focus on health equity, with a commitment to both primary and secondary prevention.

Political competition and representation in municipal councils

ABSTRACT I study whether the numbers of high- and low-social status-individuals in French municipal councils are affected by the level of political competition. I argue that because the most-eligible positions within lists of candidates are obtained by high-social-status persons, political competition increases the number of high-status municipal councilors and is thus detrimental to the election of low-social-status candidates. Using the elections of 2008 and 2014, I provide suggestive evidence that the socioeconomic status of individuals is indeed correlated with their position within lists of candidates. Moreover, I show that the presence of an additional competing list during an election is associated with 0.2 additional high-social-status individuals within the municipal councils. I also observe that those additional municipal councilors are males, which is a result that might have been caused by the gender quota policy implemented in French local elections.

Abstract PO1-09-08: Mammography adherence modifies the relationship between multilevel social deprivation and tumor characteristics in the Carolina Breast Cancer Study

Abstract Objective: To describe associations of individual and community socioeconomic status (SES) with breast cancer tumor and treatment characteristics, and to assess potential modification by mammography receipt. Methods: The Carolina Breast Cancer Study is a population-based cohort of women diagnosed with breast cancer between 2008 and 2013. We restricted this analysis to participants with stage 1-3 cancer (n=2,841). Socio-demographic information was obtained during in-home study interviews, and tumor characteristics were obtained from medical records and pathology reports. Community characteristics were obtained from American Community Survey census-tract level data. SES subgroups were identified using latent class analysis, a method for identifying group membership based on multiple shared characteristics. This was done separately using individual data (e.g. household income) and census-tract level data (e.g. poverty rate). We reported prevalence differences (PDs) and 95% CIs for each outcome. Finally, analyses were repeated with stratification by race (Black/non-Black) and receipt of at least one mammogram every 2 years (yes/no), based on self-reported mammography history. Results: Based on the latent class models, participants were sorted into 4 groups based on their individual/community SES: “high/high”, “high/low”, “low/high”, and “low/low”. Black women made up 81% of the low/low group compared to 26% of the high/high. All high individual-SES participants were combined as one referent group because they had similar clinical characteristics regardless of community status. We found that participants with low/low SES had more aggressive tumor characteristics at diagnosis compared to the referent group, such as stage 3 cancer (PD = 5.7%, 2.4-9.0), grade 3 tumor (PD = 9.9%, 5.3-14.4), and triple negative breast cancer (PD = 5.8%, 2.4-9.1). Low/low participants were also more likely to have an interval of at least 30 days between diagnosis and treatment (PD = 4.6%, 0.2-9.0). However, none of these associations were significant for low/high women. When reported separately by race, Black women with low/low SES had greater frequency of stage 3 cancer (PD = 6.3, 1.9-10.8) and prolonged treatment length (PD = 7.5%, 1.1-13.8) compared to high-SES Black women. Race-stratified SES differences were non-significant for genomic subtype and other tumor characteristics like grade and tumor size. After stratifying by screening status, we found that associations of SES with stage and tumor size were only present among those with &amp;lt; 1 mammogram every 2 years. The low/low PDs were (7.9%, 1.5-14.3) for stage 3 and (7.8%, 2.2-13.3) for tumor size &amp;gt;5 cm. Low/low women also had greater frequency of lump detected cancer (PD = 12.6%, 4.0-21.2). In contrast, these associations were not present among women with biannual mammography. Finally, screening status did not modify PDs for genomic subtype (ER+/HER2-, ER-/HER2+, TNBC). Conclusions: Lower community-level SES is associated with less favorable tumor characteristics at diagnosis, mainly among those with low individual SES. Access to mammography may explain part of the disparity in stage and tumor size, suggesting public health benefit for targeted screening initiatives in disadvantaged communities. Still, screening and SES are only 2 mechanisms that contribute to racial disparities; our future work will explore additional intervention points. Demographic and clinical characteristics of CBCS participants by individual and community socioeconomic status (n=2,841) SES groups were derived from latent class models. P-values were assessed by chi-square tests. Participants with race classified as “other” includes all those not identifying as Black or White, including American Indian/Alaska Native, Asian, or another race not listed on the questionnaire. Urbanicity is defined at the census tract-level Citation Format: Matthew Dunn, Marc Emerson, Louise Henderson, Katherine Reeder-Hayes, Terry Hyslop, Melissa Troester. Mammography adherence modifies the relationship between multilevel social deprivation and tumor characteristics in the Carolina Breast Cancer Study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-09-08.