Measures Of Socioeconomic Status Research Articles

Socioeconomic differences in older adults' unplanned hospital admissions: the role of health status and social network.

the socioeconomic distribution of unplanned hospital admissions in older adults is poorly understood. We compared associations of two life-course measures of socioeconomic status (SES) with unplanned hospital admissions while comprehensively accounting for health, and examined the role of social network in this association. in 2,862 community-dwelling adults aged 60+ in Sweden, we derived (i) an aggregate life-course SES measure grouping individuals into Low, Middle or High SES based on a summative score, and (ii) a latent class measure that additionally identified a Mixed SES group, characterised by financial difficulties in childhood and old age. The health assessment combined measures of morbidity and functioning. The social network measure included social connections and support components. Negative binomial models estimated the change in hospital admissions over 4years in relation to SES. Stratification and statistical interaction assessed effect modification by social network. adjusting for health and social network, unplanned hospitalisation rates were higher for the latent Low SES and Mixed SES group (incidence rate ratio [IRR] = 1.38, 95% confidence interval [CI]: 1.12-1.69, P = 0.002; IRR = 2.06, 95% CI: 1.44-2.94, P < 0.001; respectively; ref: High SES). Mixed SES was at a substantially greater risk of unplanned hospital admissions among those with poor (and not rich) social network (IRR: 2.43, 95% CI: 1.44-4.07; ref: High SES), but the statistical interaction test was non-significant (P = 0.493). socioeconomic distributions of older adults' unplanned hospitalisations were largely driven by health, although considering SES dynamics across life can reveal at-risk sub-populations. Financially disadvantaged older adults might benefit from interventions aimed at improving their social network.

MP12-05 THE IMPACT OF SOCIOECONOMIC STATUS ON THE SURVIVAL OF MEN WITH EARLY-ONSET PROSTATE CANCER

You have accessJournal of UrologyCME1 Apr 2023MP12-05 THE IMPACT OF SOCIOECONOMIC STATUS ON THE SURVIVAL OF MEN WITH EARLY-ONSET PROSTATE CANCER Carlos Riveros, Victor Chalfant, Ahmed El-shafie, Allison H. Feibus, Mohammed Al-Toubat, Soroush Bazargani, SeyedBehzad Jazayeri, Mark Bandyk, and K.C. Balaji Carlos RiverosCarlos Riveros More articles by this author , Victor ChalfantVictor Chalfant More articles by this author , Ahmed El-shafieAhmed El-shafie More articles by this author , Allison H. FeibusAllison H. Feibus More articles by this author , Mohammed Al-ToubatMohammed Al-Toubat More articles by this author , Soroush BazarganiSoroush Bazargani More articles by this author , SeyedBehzad JazayeriSeyedBehzad Jazayeri More articles by this author , Mark BandykMark Bandyk More articles by this author , and K.C. BalajiK.C. Balaji More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003227.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prostate cancer (PC) is considered a disease of older men; about 10% of new diagnoses in the US occur in men ≤55 years old. Socioeconomic status (SES) has shown to influence survival in patients with PC; however, the impact of SES on men with early-onset PC remains undescribed. METHODS: Using the National Cancer Database, we identified men ≤55 years of age with PC between 2004-2018. Descriptive statistics were used to characterize differences among SES groups. Kaplan-Meier (KM) and Cox regression analyses were used to assess the effect of SES on overall survival (OS). To establish the impact of SES, the quartile assignments of median income and education level were combined to create a composite SES measure. Income and education level were determined by matching each patient’s zip code at the time of diagnosis with data derived from the 2016 American Community Survey on median household income and the percentage of people aged ≥25 years old who had not earned a high school diploma, respectively. The quartile assignments (Q1, Q2, Q3, Q4) of the income and education measures were added together to form 4 composite SES categories: 2-3=Low; 4-5=Mid-Low; 6-7=Mid-High; and 8=High. RESULTS: A total of 112,563 patients with early onset PC with a median follow-up of 79.0 months were included in the study cohort. Compared to high SES patients, low SES patients were more likely to be African American (42.4% vs. 8.6%; p<0.001), Hispanic (9.5% vs. 2.7%; p<0.001), and uninsured (5.2% vs. 1.1%; p<0.001); they were also more likely to live in a rural area (3.2% vs 0.1%; p<0.001) and have stage IV disease (5.5% vs. 3.1%; p<0.001). KM analysis showed that a decreasing SES was directly associated with lower rates of OS (log-rank test p<0.001). On multivariable analysis, SES was found to have a negative effect on OS (low SES vs. high SES; hazard ratio [HR] 1.54; 95% confidence interval [CI] 1.41-1.68; p<0.001) (Figure 1). CONCLUSIONS: In patients with early-onset PC, SES was associated with overall survival. SES should be considered when implementing programs to improve the management of patients with early-onset PC Source of Funding: none © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e134 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Carlos Riveros More articles by this author Victor Chalfant More articles by this author Ahmed El-shafie More articles by this author Allison H. Feibus More articles by this author Mohammed Al-Toubat More articles by this author Soroush Bazargani More articles by this author SeyedBehzad Jazayeri More articles by this author Mark Bandyk More articles by this author K.C. Balaji More articles by this author Expand All Advertisement PDF downloadLoading ...

The Impact of Socioeconomic Status, Perceived Threat and Healthism on Vaccine Hesitancy

The ideology of healthism and low perceptions of the threat of vaccine-preventable diseases may explain the positive link between socioeconomic status (SES) and vaccine hesitancy in high-income countries. The present study aimed to examine the effect of three measures of SES (education, income and family economic status), the perceived threat of infectious diseases and two dimensions of healthism (personal responsibility for own health and distrust in healthcare institutions) on vaccine hesitancy, adjusting for sociodemographic variables. A cross-sectional quantitative study was performed in 2019. Non-probability sampling was employed by sending invitations to respondents over the age of 18 to participate in the study. The snowball technique was used, employing e-mails and digital social networks (Facebook, Twitter and Instagram). Data from 661 respondents were collected via 1 ka.si, an online survey tool. Multivariate regression analysis indicated that vaccine hesitancy was significantly more likely to be expressed by women (β = 0.09; p &lt; 0.001), high-income respondents (β = 0.09; p &lt; 0.01), those who have lower perceptions of the threat of vaccine-preventable diseases (β = 0.39; p &lt; 0.001) and those scoring high on two healthism measures (expressing high perceived control of their own health (β = 0.18; p &lt; 0.001) and high distrust in the Slovenian healthcare system and institutions (β = 0.37; p &lt; 0.001)). The findings indicate that among the examined predictors, low perceived threat of vaccine-preventable diseases and low trust in the healthcare system are among the strongest predictors of vaccine hesitancy among the Slovenian public. Policymakers, physicians and other healthcare workers should be especially attentive to the public’s and patients’ perceptions of the risk of infectious diseases and distrust in medical institutions, including during doctor–patient communication and through public health campaigns and policies.

Pessimistic cognitive biases mediate socioeconomic status and children’s mental health problems

Low socioeconomic status (SES) is associated with higher rates of emotional disorders in childhood and beyond. Here we assessed one possible contributor to this disparity, a cognitive bias in the interpretation of negative events, in a group of 341 9-year-olds (49% female, 94% White) ranging widely in SES. This cognitive bias, known as pessimism in the attributional style literature, is the tendency to interpret negative events as persistent (Stable) and pervasive (Global). It was found to be more common among lower SES children (effect sizes = 0.18–0.24 depending on SES measures: income to needs ratio, proportion of poverty from birth to age 9, and parental educational attainment). Moreover, persistent, pervasive adversity in children’s lives predicted this bias and mediated the SES—pessimism link. Pessimistic attributional style, in turn, was related to childhood emotional problems and mediated the relation between SES and these problems. Finally, evidence for serial mediation of the SES-mental health problems relationship was found via persistent, pervasive adversity and pessimism, respectively.

Sleep problems mediate the influence of childhood emotional maltreatment on adolescent non-suicidal self-injury: The moderating effect of rumination

BackgroundNon-suicidal self-injury (NSSI) is a highly serious public health problem among adolescents in China, and childhood emotional maltreatment has been found to be a risk factor for NSSI. ObjectiveLittle is known about the longitudinal association between childhood emotional maltreatment and NSSI as well as its underlying mediating and moderating mechanisms. Thus, we hypothesized whether sleep problems mediated the association between childhood emotional maltreatment and NSSI, and whether this indirect effect was moderated by rumination. Participants and settingA total of 1987 Chinese adolescents (56.1 % males; ages 10 to 14, M = 12.32, SD = 0.53) completed self-report questionnaires regarding childhood emotional maltreatment, sleep problems, rumination non-suicidal self-injury (NSSI) in three waves. MethodsStructural equation model was used to test a moderated mediation model, with gender, age and socioeconomic status and baseline measures as covariates. ResultsChildhood emotional maltreatment was significantly associated with NSSI, and this association was mediated by sleep problems. Moderated mediation analyses revealed that rumination intensified the relation between childhood emotional maltreatment and sleep problems as well as the relation between sleep problems and NSSI. ConclusionsFindings of this study demonstrate a relationship among childhood emotional maltreatment, sleep problems, rumination and NSSI. Interventions that target sleep problems and rumination may be beneficial for reducing NSSI for at-risk adolescents.

Subjective socioeconomic status: an alternative to objective socioeconomic status

BackgroundSubjective “ladder” measurements of socio-economic status (SES) are easy-to-administer tools that ask respondents to rate their own SES, allowing them to evaluate their own material resources and determine where it places them relative to their community. Here, we sought to compare the MacArthur Scale of Subjective Social status to the WAMI, an objective measure of SES that includes data on water and sanitation, asset ownership, education, and income.MethodsLeveraging a study of 595 tuberculosis patients in Lima, Peru, we compared the MacArthur ladder score to the WAMI score using weighted Kappa scores and Spearman’s rank correlation coefficient. We identified outliers that fell outside the 95th percentile and assessed the durability of the inconsistencies between scores by re-testing a subset of participants. We then used Akaike information criterion (AIC) to compare the predictability of logistic regression models evaluating the association between the two SES scoring systems and history of asthma.ResultsThe correlation coefficient between the MacArthur ladder and WAMI scores was 0.37 and the weighted Kappa was 0.26. The correlation coefficients differed by less than 0.04 and the Kappa ranged from 0.26 to 0.34, indicating fair agreement. When we replaced the initial MacArthur ladder scores with retest scores, the number of individuals with disagreements between the two scores decreased from 21 to 10 and the correlation coefficient and weighted Kappa both increased by at least 0.03. Lastly, we found that when we categorized WAMI and MacArthur ladder scores into three groups, both had a linear trend association with history of asthma with effect sizes and AICs that differed by less than 15% and 2 points, respectively.ConclusionOur findings demonstrated fair agreement between the MacArthur ladder and WAMI scores. The agreement between the two SES measurements increased when they were further categorized into 3–5 categories, the form in which SES is often used in epidemiologic studies. The MacArthur score also performed similarly to WAMI in predicting a socio-economically sensitive health outcome. Researchers should consider subjective SES tools as an alternative method for measuring SES, particularly in large health studies where data collection is a burden.

Provider-initiated HIV testing uptake and socio-economic status among women in a conflict zone in the Central African Republic: a mixed-methods cross-sectional study

IntroductionIn the Central African Republic (CAR), HIV/AIDS is the main cause of death in women aged 15–49 years. Increased testing coverage is essential in prevention of HIV/AIDS, especially in areas where conflict hinders access to health care. Socio-economic status (SES) has been shown to be associated with HIV testing uptake. We investigated whether “Provider-initiated HIV testing and counselling” (PITC) could be implemented in a family planning clinic in an active conflict zone in the Central African Republic to reach women of reproductive age and assessed whether socioeconomic status was associated with testing uptake.MethodsWomen aged 15–49 years were recruited from a free family planning clinic run by Médecins Sans Frontières in the capital Bangui. An asset-based measurement tool was created based on analysis of qualitative in-depth interviews. Measures of socioeconomic status were constructed from the tool, also by using factor analysis. Logistic regression was used to quantify the association between SES and HIV testing uptake (yes/no), while controlling for potential confounders: age, marital status, number of children, education level and head of household.ResultsA total of 1419 women were recruited during the study period, where 87.7% consented to HIV testing, and 95.5% consented to contraception use. A total of 11.9% had never been tested for HIV previously. Factors negatively associated with HIV testing uptake were: being married (OR = 0.4, 95% CI 0.3–0.5); living in a household headed by the husband as opposed to by another person (OR = 0.4, 95% CI 0.3–0.6), and lower age (OR = 0.96, 95% CI 0.93–0.99). Higher level of education (OR = 1.0, 95% CI 0.97–1.1) and having more children aged under 15 (OR = 0.92, 95% CI 0.81–1.1) was not associated with testing uptake. In multivariable regression, testing uptake was lower in the higher SES groups, but the differences were not significant (OR = 0.80, 95% CI 0.55–1.18).ConclusionsThe findings show that PITC can be successfully implemented in the patient flow in a family planning clinic, without compromising contraception uptake. Within the PITC framework in a conflict setting, socioeconomic status was not found to be associated with testing uptake in women of reproductive age.

The interaction of socioeconomic stress and race on telomere length in children: A systematic review and meta-analysis

RationaleProposed mechanisms relating early life exposures to poor health suggest that biologic indicators of risk are observable in childhood. Telomere length (TL) is a biomarker of aging, psychosocial stress, and a range of environmental exposures. In adults, exposure to early life adversity, including low socioeconomic status (SES), is predictive of shorter TL. However, results in pediatric populations have been mixed. Defining the true relation between TL and SES in childhood is expected to enhance the understanding of the biological pathways through which socioeconomic factors influence health across the life span. ObjectiveThe aim of this meta-analysis was to systematically review and quantitatively assess the published literature to better understand how SES, race, and TL are related in pediatric populations. MethodsStudies in the United States in any pediatric population with any measure of SES were included and identified through the following electronic databases: PubMed, EMBASE, Web of Science, Medline, Socindex, CINAHL, and Psychinfo. Analysis utilized a multi-level random-effects meta-analysis accounting for multiple effect sizes within a study. ResultsThirty-two studies were included with a total of 78 effect sizes that were categorized into income-based, education-based, and composite indicators. Only three studies directly tested the relation between SES and TL as the primary study aim. In the full model, there was a significant relation between SES and TL (r = 0.0220 p = 0.0286). Analysis by type of SES categorization identified a significant moderating effect of income on TL (r = 0.0480, 95% CI: 0.0155 to 0.0802, p = 0.0045) but no significant effect for education or composite SES. ConclusionsThere is an overall association between SES and TL that is predominately due to the association with income-based SES measures implicating income disparities as a key target for efforts to address health inequity across the life span. Identification of associations between family income and biological changes in children that predict life-span health risk provides key data to support public health policies addressing economic inequality in families and presents a unique opportunity to assess the effect of prevention efforts at the biologic level.

Socio-economic inequalities in undiagnosed, untreated, and uncontrolled diabetes mellitus in Bangladesh: is there a gender difference?

ObjectivesWe aimed to determine: (1) the prevalence and socio-economic distribution of undiagnosed, untreated, and uncontrolled diabetes mellitus (DM); (2) the relationship between socio-economic status (SES) and undiagnosed, untreated, and uncontrolled DM; and (3) if this relationship is mediated by gender. Study designCross-sectional nationally representative household-based survey. MethodsWe used data from the Bangladesh Demographic Health Survey from 2017 to 18. Our findings were based on the responses of 12,144 individuals aged 18 years and older. As a measure of SES, we focused on standard of living (hereinafter referred to as wealth). The study's outcome variables were prevalence of total (diagnosed + undiagnosed), undiagnosed, untreated, and uncontrolled DM. We used three regression-based approaches—adjusted odds ratio, relative inequality index, and slope inequality index—to assess different aspects of SES differences in the prevalence of total, undiagnosed, untreated, and uncontrolled DM. We used logistic regression analysis to look at the adjusted association between SES and the outcomes after gender stratification to see whether gender status moderates the association between SES and the targeted outcomes. ResultsIn our sample analysis, the age-adjusted prevalence of total, undiagnosed, untreated, and uncontrolled DM was 9.1%, 61.4%, 64.7%, and 72.1%, respectively. Females had a higher prevalence of DM and undiagnosed, untreated, and uncontrolled DM than males. When compared to people in the poor SES group, people in the rich and middle SES groups had 2.60 times (95% confidence interval [CI] 2.05–3.29) and 1.47 times (95% CI 1.18–1.83) higher chance of developing DM. When compared to individuals in the poor SES group, those in the rich SES groups were 0.50 (95% CI 0.33–0.77) and 0.55 times (95% CI 0.36–0.85) less likely to have undiagnosed and untreated DM. ConclusionsIn Bangladesh, rich SES groups were more likely than poor SES groups to have DM, whereas poor SES groups with DM were less likely than rich SES groups to be aware of their disease and obtain treatment. The government and other concerned parties are urged by this study to pay more attention to developing suitable policy measures to reduce the risk of DM, particularly among rich SES groups, as well as targeted efforts to screen for and diagnose DM in socio-economically disadvantaged groups.

Variation in State-Level Mammography Use, 2012 and 2020.

Mammography is a screening tool for early detection of breast cancer. Uptake in screening use in states can be influenced by Medicaid coverage and eligibility policies, public health outreach efforts, and the Centers for Disease Control and Prevention-funded National Breast and Cervical Cancer Early Detection Program. We described state-specific mammography use in 2020 and changes as compared with 2012. We estimated the proportion of women aged ≥40 years who reported receiving a mammogram in the past 2 years, by age group, state, and demographic and socioeconomic characteristics, using 2020 Behavioral Risk Factor Surveillance System data. We also compared 2020 state estimates with 2012 estimates. The proportion of women aged 50-74 years who received a mammogram in the past 2 years was 78.1% (95% CI, 77.4%-78.8%) in 2020. Across measures of socioeconomic status, mammography use was generally lower among women who did not have health insurance (52.0%; 95% CI, 48.3%-55.6%) than among those who did (79.9%; 95% CI, 79.3%-80.6%) and among those who had a usual source of care (49.4%; 95% CI, 46.1%-52.7%) than among those who did not (81.0%; 95% CI, 80.4%-81.7%). Among women aged 50-74 years, mammography use varied across states, from a low of 65.2% (95% CI, 61.4%-69.0%) in Wyoming to a high of 86.1% (95% CI, 83.8%-88.3%) in Massachusetts. Four states had significant increases in mammography use from 2012 to 2020, and 8 states had significant declines. Mammography use varied widely among states. Use of evidence-based interventions tailored to the needs of local populations and communities may help close gaps in the use of mammography.

Invited Commentary: Improving Instruments to Counter the Bias in Their Construction.

In this issue of the Journal, Villalonga-Olives et al. (Am J Epidemiol. 2023;192(8):1264-1273) examined the psychometric properties of social capital indicators, comparing responses from Black and White people to identify whether there was differential item functioning (DIF) in social capital by race, and also when stratified by educational attainment, as a measure of socioeconomic status. The authors tested whether there is DIF in social capital items between Black and White people and found that DIF across these items was significant although not large, but they were still indicative of measurement error, which they suspected was related to the way these items were developed-that is, based on cultural assumptions tested in mainstream White America. However, some gaps remain to be fleshed out.

Social and Economic Status and its Relationship Dietary behavior of Female’s Students from Al-Qunfuthah University College

&nbsp;&nbsp;&nbsp; This study aimed to find out the relationship between social and economic factors and dietary behavior among female students of Al-Qunfuthah University College - Umm Al-Qura University - Saudi Arabia. The researcher used the descriptive approach, and the study population consisted of female students at the University College in Al-Qunfuthah - Umm Al-Qura University - Saudi Arabia, and they numbered 1050 students. The sample was selected in a simple random way from the students at the University College in Al-Qunfuthah (literary section), and the sample size was 107 students, of whom 40 are from small families from 1 to 4, while there are 47 members of families of more than 7. The data was collected through the questionnaire electronic measure of socio-economic status and nutritional behavior, where social and economic factors were measured through the number of individuals in the family, income, place of residence, and type of housing, in addition to the social status of the students of Al-Qunfuthah University College - Umm Al-Qura University, nutritional behavior was determined through the extent of commitment to eating breakfast, and the number of main meals. The data were analyzed by chi-square test Constable. The results showed the chi-squared value of the social and economic factors and their relationship to dietary behavior which relates to adherence to breakfast, and to main mealtimes, the number of main meals in addition to the number of snacks, about dietary behavior, and family size, where the results extend from 21.34 to 3.721 is statistically significant at the significance level of 0.001, in favor of dietary behavior according to the variable number of snacks. About food behavior and place of residence, the results extend from 0.01 to 0.389 AH, which are not statistically significant in favor of the place of residence. The results also showed dietary behavior and type of housing, which range from 0.493 to 3.454, and are not statistically significant in favor of the type of housing. As for the results regarding dietary behavior and the work of the head of the household, which ranged from 1.638 to 10.035, it is not statistically significant in favor of the work of the head of the family It also showed the results of food behavior and marriage, which extend from 1.141 is not statistically significant in favor of marriage according to the variable number of basic meals. &nbsp;At the end of the study, the researcher recommends the importance of the social and economic situation and its relationship to dietary behavior and the need to intensify food awareness and spread food culture to university students, especially non-scientific departments, and to all members of society.

The Relative Influence of Subjective and Objective Socioeconomic Status on the Noncognitive Development of First-Year College Students

The study examines the associations between socioeconomic status (SES) and noncognitive development in first year college students, distinguishing between objective (or absolute) and subjective (or relative) measures of SES. The analyses draw from longitudinal data capturing college students (N = 2,488) at the start of the first year of college and again towards the end of the same academic year, across 25 public four-year colleges and universities within a single state higher education system. Results highlight the importance of subjective status, over and above objective status, and suggest strategies that may inform college and university support.

Abstract PD1-03: Neighborhood deprivation and breast cancer mortality among Black and White women

Abstract Background: Neighborhood deprivation is hypothesized as a potential driver of racial disparities in breast cancer mortality. However, research shows that neighborhood deprivation is associated with increased breast cancer mortality among White women, but has little to no association among Black women. No study has previously considered the intersections of race, social cohesion, or urban/rural status in the association between neighborhood deprivation and breast cancer mortality. Methods: Neighborhood deprivation was examined in relation to breast cancer mortality among 31,358 non-Hispanic Black and non-Hispanic White women diagnosed with invasive breast cancer (stage I-IIIA) between 2010-2017, followed through 2019, and identified by the Georgia Cancer Registry. Two composite scores, the Area Deprivation Index (ADI) and neighborhood deprivation index (NDI), were used to characterize neighborhood deprivation. A third composite score, the Yost index, was assessed as a measure of neighborhood socioeconomic status (SES). Each composite score was composed of factors representing six domains: poverty, income, occupation, housing, employment, and education. Data on ADI were obtained from the Neighborhood Atlas and was assessed in deciles. American Community Survey data from 2011-2015 and principal components analysis were used to derive the NDI and Yost index. Both measures were assessed in quartiles. Each composite variable was measured at the block group level and linked to patient data. Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between each composite variable and breast cancer mortality, overall and by race/ethnicity. Intersectionality will be examined by considering the joint effects of race/ethnicity, social cohesion, and urban/rural status. Results: During the 9-year follow-up period, 2,353 (1,347 non-Hispanic White, 1,006 non-Hispanic Black) women died from breast cancer. Regardless of which composite score was assessed, living in the most deprived or lowest SES neighborhoods was associated with an increased risk of breast cancer mortality in models adjusted for age and race (ADI decile 10 vs. 1: HR=1.57, 95% CI 1.26-1.96; NDI quartile 4 vs. 1: HR=1.43, 95% CI 1.26-1.63; Yost index quartile 1 vs 4: HR= 1.34, 95% CI 1.18-1.51). Stratification by race/ethnicity showed associations were slightly stronger among non-Hispanic White women but null among non-Hispanic Black women. Results from analyses examining the joint effects of race/ethnicity, social cohesion, and urban/rural status are forthcoming and will be presented in December. Conclusions: Consistent with previous studies, our study found that living in a deprived neighborhood may increase breast cancer mortality among non-Hispanic White women, but not non-Hispanic Black women. Investigating the association with an intersectionality framework may help identify subgroups of women who are particularly susceptible to the adverse impact of neighborhood deprivation on breast cancer mortality. Citation Format: Lauren E. Barber, Jasmine M. Miller-Kleinhenz, Maret L. Maliniak, Leah Moubadder, Jeffrey Switchenko, Lauren E. McCullough. Neighborhood deprivation and breast cancer mortality among Black and White women [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD1-03.

The relationshİp of socioeconomic status with sexual satisfaction through gender roles and sexual myths

IntroductionSexual life and sexual satisfaction are associated with psychological well-being. It has already been shown that sexual satisfaction is related to sexual myths or stereotypes, somesociodemographic and sociosultural variables, and gender. However, we have not met any study in which socioeconomic status, sexual myths and gender roles were taken together.ObjectivesThe aim of this study was to investigate whether socioeconomic status predicts sexual satisfaction through sexual myths and gender roles.MethodsThe Bem Gender Roles Scale (Ozkan and Lajunen Sex Roles 2005;103-110), the Sexual Myths Scale (Golbasi et al. Sex Disabil 2016; 34 75-87), the New Sexual Satisfaction Scale (Stulhofera et al. J Sex Res 2010;47 257-268), the Socio-Economic Status Measurement Tool (Kalaycioglu et al. J Soc Res 2010; 1 183-220) were applied face-to-face or online to 185 women and 74 men who had heterosexual relationships. Relationships between scale scores were examined with Pearson correlation analysis. Serial multiple mediator analysis was used to test mediator role of either masculinity or sexual myths in the relationship between socioeconomic status and sexual satisfaction.ResultsWe found significant correlations between socioeconomic status and sexual myths (r=-.22, p&lt;.001), between socioeconomic status and sexual satisfaction (r=.13, p&lt;.001), sexual myths and sexual satisfaction (r=.20, p&gt;.001) and between masculinity and sexual satisfaction (r=.18, p=.004), The relationship between femininity and sexual satisfaction was not significant (r=.01, p=.845). Sexual myths (b=-.19, t(257)=-3.48, p&lt;.01) and masculinity (b=.40, t(257)=3.26, p&lt;.01) mediated the relationship between socioeconomic status and sexual satisfaction (b=.15, t(257)= 2.04, p&lt;.05).ConclusionsInterventions on sexual myths will reduce the effect of socioeconomic disadvantage on sexual satisfaction.Disclosure of InterestNone Declared

Abstract P345: Physical Activity and Cardiorespiratory Fitness Among Adolescents With Type 1 and Type 2 Diabetes: A Systemic Review and Meta-Analysis

Background: Physical activity (PA) is a cornerstone in the management of pediatric diabetes, due in part to a dose-response effect on cardiorespiratory fitness (CRF). The extent to which PA and CRF is impaired in children and adolescents with diabetes remains unclear. Hypothesis: We hypothesized that PA and CRF would be lower in children and adolescents with type 1 (T1D) and (T2D) compared to controls. Design and Methods: To test this hypothesis we conducted a systematic review of observational studies in MEDLINE, Embase, the Cochrane Library, and CINAHL from 2000 to April 2022. Cross sectional studies that reported PA and/or CRF for children and adolescents (0-21 years) with T1D, T2D and controls without diabetes were included in the analysis. We excluded studies in adults and those that did not differentiate diabetes type. The main outcomes of interest were objective or subjective measures of PA and direct or indirect measures of CRF. Co-variates extracted from each manuscript included body mass index, sex, measures of socio-economic status, age and ethnicity. A modified risk of bias tool was used to assess the methodological quality of each study. (Prospero registration: CRD42022329303). We used an inverse variance weighted meta-analysis to estimate effect size and precision effects. A random effects model was used. Results: Of 7857 citations retrieved, we included 42 studies with T1D (n=4027 with T1D, n=9699 controls) and 14 studies with T2D (n=581 with T2D, n=1008 controls). 26 and 2 studies included direct and indirect measures of cardiorespiratory fitness respectively. 14 and 26 studies include objective and subjective measures of PA respectively. The standardized mean difference (SMD) was PA [-0.28; 95% CI: -0.46, -0.10; I 2 = 89%] and CRF [-0.30; 95% CI: -0.66, 0.06; I 2 = 92%] were lower children and adolescents with for T1D compared to controls. The SMD for PA [-0.61; 95% CI: -0.98, -0.24; I 2 = 89%] and CRF [-1.20; 95% CI: -1.73, -0.67; I 2 = 91%] were also lower for children and adolescents with T2D compared to controls. The majority of studies were considered a high risk of bias. Conclusions: Children and adolescents with T1D display modestly lower daily PA and CRF compared to controls. Deficits in PA and CRF are more profound among children and adolescents with T2D.

Contribution of parental health to the subsequent social assistance entry of the family with children: a nationwide register-linked birth cohort study in Finland

AimOur aim in this paper was to estimate the contribution of different parental specialised health care diagnoses to the subsequent risk of entry into the social assistance system for families...

Direct Effect of Life-Course Socioeconomic Status on Late-Life Cognition and Cognitive Decline in the Rush Memory and Aging Project.

The role of socioeconomic status (SES) across the life course in late-life cognition is unclear. We tested the hypotheses that: 1) High SES in childhood, young adulthood, midlife, and late life have independent causal effects on higher cognition level and slower cognitive decline; 2) Compared with stable low SES (referent), stable high SES has the largest estimated effect for higher cognition level and slower decline among life-course SES combinations. The Rush Memory and Aging Project enrolled 1,940 dementia-free older adults in northeastern Illinois (1997-2018). We used inverse probability-weighted marginal structural models to estimate the joint and independent effect of each life-course SES on global and domain-specific cognition. A total of 1,746 participants had, on average, 6 years of follow-up. High SES at each life-course stage starting in young adulthood had a protective estimated effect on global and domain-specific cognition intercepts. Compared with consistently low SES, consistently high SES (β= 0.64, 95% confidence interval: 0.48, 0.93) and high SES beyond childhood (β= 0.64, 95% confidence interval: 0.47, 0.83) had the largest benefit for global cognition intercepts. None of the life-course SES measures influenced rate of global or domain-specific decline. Additional understanding of life-course SES components influencing cognitive level is warranted.

Do associations of physical activity and sedentary behaviour with cardiovascular disease and mortality differ across socioeconomic groups? A prospective analysis of device-measured and self-reported UK Biobank data

ObjectiveTo examine if individual-level and area-level socioeconomic status (SES) modifies the association of moderate-to-vigorous physical activity (MVPA), domain-specific physical activity and sedentary behaviour with all-cause mortality (ACM) and incident cardiovascular...

Abstract WMP46: Impact Of Poverty On Stroke Incidence And Recurrence: A Population-based Study

Background: Poorer socioeconomic status (SES) is associated with higher stroke incidence. Less is known about SES and stroke recurrence. We sought to obtain updated estimates of stroke incidence stratified by aggregate measures of SES, and to explore the association between SES and stroke recurrence. Methods: The Greater Cincinnati/Northern Kentucky region includes a population of 1.3 million, representative of the US population in terms of sociodemographics and percent black race. We ascertained all hospitalized strokes in the region in 2015 by screening ICD-9 codes 430-437 and ICD-10 codes I60-69, G45-46. Recurrent strokes were ascertained from 1/1/2015-12/31/2018. Patients’ home addresses were geocoded using DeGAUSS. Population estimates were obtained from the US Census Bureau using the 2015 5-year American Community Survey. Aggregate SES was estimated by percentage below poverty in each census tract. Regional incidence and recurrence rates were adjusted for age, sex, and race and calculated both with and without SES adjustment using Poisson regression models. Results: Stroke incidence and recurrence rates stratified by SES are shown in the Table. Poorer SES was associated with greater stroke incidence (p&lt;0.01) and recurrence (p&lt;0.01) across races. The relative risk (95% CI) for first-ever stroke among black compared with nonblack individuals was 2.06 (1.79-2.38) before adjusting for SES, and 1.79 (1.54-2.08) after adjusting for SES. The relative risk (95% CI) for recurrent stroke among black compared with nonblack individuals was 2.54 (1.91-3.37) before adjusting for SES, and 2.00 (1.47-2.74) after adjusting for SES. There was no race by SES interaction. Conclusions: Poorer SES was associated with increased risk for both incident and recurrent stroke across races. Of the excess risk for stroke incidence among black individuals, 25.5% was accounted for by SES, while 35.1% of the excess risk for recurrence was accounted for by SES.