Socioeconomic Status Characteristics Research Articles

Fundamental movement skills proficiency in preschool-aged boys and girls: Family matters

ABSTRACT To investigate the associations of fundamental movement skill (FMS) proficiency with family factors, including socioeconomic status (SES) and caregiver characteristics, by sex in young children in China. Participants included 1,207 Chinese children aged 3–6 years in this cross-sectional study. Children’s FMS, consisting of locomotor skills and object control (OC) skills, were assessed. Information on family SES and caregiver characteristics was reported by the parents. Sex differences in outcomes and the associations of FMS with family factors by sex were examined using SPSS 26.0. Boys scored significantly higher than girls in terms of overall FMS and OC skills (both p < 0.01). There were significant and negative associations between children’s FMS and parental education level and parental body mass index (BMI), which varied by sex. Boys who were regularly cared for by parents had higher FMS and OC skill scores than did those who were primarily looked after by grandparents (both p < 0.01). This complex interplay between sex and family factors (i.e. parental education level, parental BMI, and the identity of primary caregiver) on FMS proficiency in young children underscores the urgent need for developing sex-tailored, family-involved, and socio-culturally adapted interventions to enhance FMS proficiency at the preschool stage.

Unraveling psychological burden: the interplay of socio-economic status, anxiety sensitivity, intolerance of uncertainty, and stress in first-year medical students

BackgroundThe escalating prevalence of mental health issues among young adults, set against the backdrop of a global healthcare system under pressure, underscores the necessity for cultivating a resilient medical workforce. This study investigates the influence of socio-economic status (SES) on psychological well-being, with a particular focus on Anxiety Sensitivity (AS) and Intolerance of Uncertainty (IU) among first-year medical students. Understanding the psychological dimensions affecting medical students is crucial for fostering a future medical workforce that is both capable and mentally healthy.MethodsThis research involved 321 first-year medical students, evaluated using the Perceived Stress Questionnaire (PSQ), Anxiety Sensitivity Index (ASI), the Intolerance of Uncertainty Scale (UI-18), and the Student Self-Efficacy Scale (SSE), alongside socio-economic categorization. Employing descriptive statistics, ANOVA, and correlation analyses, the study aimed at elucidating the SES impact on AS and IU, among other psychological constructs.ResultsThe analysis revealed significant SES-related differences, especially in the realms of Anxiety Sensitivity and Intolerance of Uncertainty. Notably, ASI_C (cognitive concerns) exhibited strong positive correlations with both UI_A (reduced ability to act due to IU) (Pearson’s r = 0.562, p < 0.001) and UI_B (burden due to IU) (Pearson’s r = 0.605, p < 0.001), highlighting the link between cognitive aspects of anxiety and uncertainty intolerance. Furthermore, UI_C (vigilance due to IU) was significantly associated with SES (F(4, 316) = 2.719, p = 0.030, η² = 0.033), pointing to the complex ways in which socio-economic factors modulate responses to uncertainty. Self-efficacy emerged as a significant counterbalance, showing protective associations against the adverse effects of heightened Anxiety Sensitivity and Intolerance of Uncertainty.ConclusionOur findings indicate that lower socio-economic status is associated with higher levels of Anxiety Sensitivity and Intolerance of Uncertainty, which contribute to increased stress among first-year medical students. Additionally, Self-Efficacy emerged as a significant protective factor, mitigating the expressions of AS and IU. Although medical faculties cannot change SES characteristics within their student body, recognizing its impact allows for the development of tailored support systems to address the unique challenges faced by students from diverse socio-economic backgrounds. This study underscores the necessity of considering social diversity, particularly regarding AS and IU characteristics, to foster a supportive and effective medical education environment with an outlook on sustainable mental health in a demanding work context.

Decomposition analysis to assess intervention strategies for reducing health-related exposure disparities in Michigan public drinking water systems

ObjectiveContamination in U.S. public drinking water systems (PWS) is estimated to cause millions of illnesses and billions of dollars in medical expenditures annually. Few prior studies have explored intervention strategies, including environmental enforcement, to reduce estimated health-related exposure disparities (exposure disparity) in PWS, which are driven partially by socioeconomic status (SES), racism, and PWS characteristics. MethodThis study used a longitudinal measurement method to estimate the annual health-related exposure level (health level) of each PWS in Michigan, based on data from the Enforcement and Compliance Online (ECHO) and U.S. Census Bureau databases. Using a decomposition model with four strategies, we analyzed how eliminating disparities in SES, proportion minority, environmental enforcement, and PWS characteristics across communities would affect adjusted exposure disparities. ResultsThis study found that adjusted race- and poverty-based exposure disparities have existed since the 1980s but might have decreased in the last one or two decades. PWS characteristics strongly impacted the crude and adjusted exposure disparity. Environmental enforcement, although less effective in minority-concentrated communities, reduced the adjusted race-based exposure disparity by 10%–20% in the 1980s, 8% in the 1990s, and 0.012% in the 2010s. Equalizing the poverty rate distribution reduced the adjusted race-based exposure disparity by 0.72% in the 1980s and 6.8% in the 2010s. However, equalizing racial and ethnic composition distribution increased the adjusted poverty-based exposure disparity in the 2000s. ConclusionThese findings indicate that economically disadvantaged or minority-concentrated communities in Michigan disproportionately suffer from poorer PWS quality. Enhanced environmental enforcement, increased household income, PWS investment, and other actions are needed to address these exposure disparities effectively.

Association Between Social Vulnerability and Streptococcus pneumoniae Antimicrobial Resistance in US Adults.

Growing evidence indicates antimicrobial resistance disproportionately affects individuals living in socially vulnerable areas. This study evaluated the association between the CDC/ATSDR Social Vulnerability Index (SVI) and Streptococcus pneumoniae (SP) antimicrobial resistance (AMR) in the United States. Adult patients ≥18 years with 30-day nonduplicate SP isolates from ambulatory/hospital settings from January 2011 to December 2022 with zip codes of residence were evaluated across 177 facilities in the BD Insights Research Database. Isolates were identified as SP AMR if they were non-susceptible to ≥1 antibiotic class (macrolide, tetracycline, extended-spectrum cephalosporins, or penicillin). Associations between SP AMR and SVI score (overall and themes) were evaluated using generalized estimating equations with repeated measurements within county to account for within-cluster correlations. Of 8008 unique SP isolates from 574 US counties across 39 states, the overall proportion of AMR was 49.9%. A significant association between socioeconomic status (SES) theme and SP AMR was detected with higher SES theme SVI score (indicating greater social vulnerability) associated with greater risk of AMR. On average, a decile increase of SES, indicating greater vulnerability, was associated with a 1.28% increased risk of AMR (95% confidence interval [CI], .61%, 1.95%; P = .0002). A decile increase of household characteristic score was associated with a 0.81% increased risk in SP AMR (95% CI, .13%, 1.49%; P = .0197). There was no association between racial/ethnic minority status, housing type and transportation theme, or overall SVI score and SP AMR. SES and household characteristics were the SVI themes most associated with SP AMR.

Hospital use and cancer treatment by age and socioeconomic status in the last year of life: A Norwegian population-based study of patients dying of cancer

IntroductionCancer is the leading cause of death in Norway. In this nationwide study we describe the number and causes of hospital admissions and treatment in the final year of life for patients who died of cancer, as well as the associations to age and socioeconomic status (SES). Materials and MethodsFrom nationwide registries covering 2010–2014, we identified all patients who were diagnosed with cancer 12–60 months before death and had cancer as their reported cause of death. We examined the number of overnight hospital stays, causes of admission, and treatment (chemotherapy, radiotherapy, surgical procedures) offered during the last year of life by individual (age, sex, comorbidity), cancer (type, stage, months since diagnosis), and socioeconomic variables (co-residential status, income, education). ResultsThe analytical sample included 17,669 patients; 8,247 (47%) were female, mean age was 71.7 years (standard deviation 13.7). At diagnosis, 31% had metastatic disease, while 29% had an intermediate or high comorbidity burden.Altogether, 94% were hospitalized during their final year, 82% at least twice, and 33% six times or more. Patients spent a median of 23 days in hospital (interquartile range 11–41), and altogether 38% died there. Younger age, bladder and ovarian cancer, not living alone, and higher income were associated with having ≥6 hospitalizations. Cancer-related diagnoses were the main causes of hospitalizations (65%), followed by infections (11%).Around 51% had ≥1 chemotherapy episode, with large variations according to patient age and SES; patients who were younger, did not live alone, had high education, and high income received more chemotherapy. Radiotherapy was received by 15% and declined with age, and the variation according to SES characteristics was minor. Of the 12,940 patients with a cancer type where surgery is a main treatment modality, only 835 (6%) underwent surgical procedures for their primary tumor in the last year of life. DiscussionMost patients who die of cancer are hospitalized multiple times during the last year of life. Hospitalizations and treatment decline with advancing age. Living alone and having low income is associated with fewer hospitalizations and less chemotherapy treatment. Whether this indicates over- or undertreatment across various groups warrants further exploration.

Socioeconomic characteristics and domestic work as correlates of family satisfaction in Hong Kong mothers of young children

BackgroundFamily life satisfaction is an important contributor to the mental health of mothers with young children, who are particularly vulnerable to various sources of stressors. However, there is a dearth of studies on this topic in this demographic, the determinants of which likely differ across geographical and cultural contexts. We examined indicators of maternal socioeconomic status (SES) and domestic help as correlates of family satisfaction in Hong Kong mothers of young children.MethodsMothers (N = 322) of young children (3–5 years old) were recruited from neighbourhoods stratified by SES and population density. They self-completed a survey containing items on socio-demographics, SES characteristics (including household income and maternal education and employment status), maternal family satisfaction and division of domestic work in the household and family. Confounder-adjusted associations of maternal SES indicators and participation in housework and childcare activities by various agents (e.g., mother, spouse, other residents) were estimated. We also estimated the moderating effects of household income on the associations between maternal employment and family satisfaction, and those of maternal employment on the associations between domestic work division and family satisfaction.ResultsHousehold income and maternal education were positively related to maternal family satisfaction. Mothers in part-time employment had lower family satisfaction than non-working mothers and mothers working full-time. The latter reported higher family satisfaction than non-working mothers only if their household income was below HK$ 15,000. Domestic work performed by non-residents was predictive of higher family satisfaction, while mothers’ housework and child(ren) tutoring were predictive of lower family satisfaction. Only part-time employed mothers benefited from spouse’s assistance with domestic work. The interaction effects of maternal employment status on the associations between the division of child tutoring and family satisfaction were complex.ConclusionsIn Hong Kong, mothers of young children with lower education and household income, who hold a part-time job and participate in housework and child tutoring activities have the lowest levels of family satisfaction and, hence, are at higher risk of mental health problems. Spouses’ and non-resident family members’ participation in domestic work, as well as the establishment of more family-friendly employment practices, may help mitigate this risk.Trial registrationN/A.

Multilevel Risk Factors for Sleep-Disordered Breathing-Related Symptom Burden in an Urban Pediatric Community-Based Sample

Pediatric sleep-disordered breathing (SDB) disproportionately affects children with low socioeconomic status (SES). The multilevel risk factors that drive these associations are not well understood. What are the associations between SDB risk factors, including individual health conditions (obesity, asthma, and allergies), household SES (maternal education), indoor exposures (environmental tobacco smoke [ETS] and pests), and neighborhood characteristics (neighborhood disadvantage), and pediatric SDB symptoms? Cross-sectional analyses were performed on 303 children (aged 6-12 years) enrolled in the Environmental Assessment of Sleep Youth study from 2018 to 2022. Exposures were determined by caregiver reports, assays of measured settled dust from the child's bedroom, and neighborhood-level Census data (deriving the Childhood Opportunity Index to characterize neighborhood disadvantage). The primary outcome was the SDB-related symptom burden assessed by the OSA-18 questionnaire total score. Using linear regression models, we calculated associations between exposures and SDB-related symptom burden, adjusting for sociodemographic factors, then health conditions, indoor environment, and neighborhood factors. The sample included 303 children (39% Hispanic, Latino, Latina, or Spanish origin; 30% Black or African American; 22% White; and 11% other). Increasing OSA-18 total scores were associated with low household SES after adjustment for demographic factors, and with asthma, allergies, ETS, pests (mouse, cockroach, and rodents), and an indoor environmental index (sum of the presence of pests and ETS; 0-2) after adjusting for sociodemographic factors. Even after further adjusting for asthma, allergies, and neighborhood disadvantage, ETS and pest exposure were associated with OSA-18 (ETS: β = 12.80; 95% CI, 7.07-18.53, also adjusted for pest; pest exposure: β = 3.69; 95% CI, 0.44-6.94, also adjusted for ETS). In addition to associations with ETS, a novel association was observed for indoor pest exposure and SDB symptom burden. Strategies to reduce household exposure to ETS and indoor allergens should be tested as approaches for reducing sleep health disparities.

The Relationship between Certain Parental/Household Socio-Economic Characteristics and Female Adolescent Obesity in Montenegro.

Considering that obesity is characterized today as a public health challenge and an epidemic in many countries in the world and that one of the main predictors for obesity is socio-economic status (SES), the aim of this paper was to assess the relationship between the SES of parents/guardians and female adolescent obesity in Montenegro. A stratified random probability sample method was used, and the number of participants in this study was 596, aged 15.8 ± 0.58, from all three regions in Montenegro. As SES was a factor in this research, specific SES parameters such as household wealth and parental educational level were collected for parent/guardian of each child. The following anthropometric indices were utilized to evaluate nutritional status: body mass index (BMI) and waist to height ratio (WHtR). Regarding nutritional status, it can be said that no statistically significant difference between female adolescents according to the regions of Montenegro was found. Of all the adolescents in the study, 15.4% of them were above the normal nutrition level as measured by BMI, while 12.2% were classified as obese by the WHtR. Furthermore, the study found a significant negative relationship between a mother's level of education and obesity in female adolescents, with odds ratios of 0.31 (p = 0.035) and 0.19 (p = 0.009) for secondary and high level education, respectively. This suggests that daughters of mothers with higher levels of education are less likely to be obese. In regard to the nutritional status of the respondents in this study, their values fell within the normal range compared to the European average. However, the results regarding the relationship between certain SES characteristics and obesity suggest a similarity to developed countries.

Socioeconomic status and social capital as predictors of happiness: evidence and gender differences

Understanding socioeconomic status (SES) and social capital as predictors of life outcomes has remained central to humanitarian, health and social research. This current study explores how socioeconomic status and social capital (community solidarity, locus of control and generalised trust) predict happiness among a sample of South African adults. Possible gender differences were also considered. Cross-sectional data from (n = 1049) South Africans on SES, social capital, happiness and sociodemographic characteristics were collected using an online questionnaire between January 2021 and September 2021. A correlation matrix was calculated to explore bivariate associations between the variables. Hierarchical regression analysis was conducted to examine the predictive influence of SES and social capital indices on happiness and the gender differential in these relationships. SES and all social capital variables were significantly correlated with happiness. The model, including SES and social capital, accounted for 25% of the variance in happiness. Gender differences were found regarding the relationship between SES and all social capital variables (except locus of control) and happiness. The results confirm that efforts to facilitate individual social capital correspond to greater happiness among South Africans. Furthermore, it highlights the need for further empirical exploration of social predictors of life outcomes. The current analysis provides a framework for developing and implementing policies that promote happiness and other life outcomes.

Provider implicit and explicit bias in person-centered maternity care: a cross-sectional study with maternity providers in Northern Ghana

BackgroundPerson-centered maternity care (PCMC) has become a priority in the global health discourse on quality of care due to the high prevalence of disrespectful and lack of responsive care during facility-based childbirth. Although PCMC is generally sub-optimal, there are significant disparities. On average, women of low socioeconomic status (SES) tend to receive poorer PCMC than women of higher SES. Yet few studies have explored factors underlying these inequities. In this study, we examined provider implicit and explicit biases that could lead to inequitable PCMC based on SES.MethodsData are from a cross-sectional survey with 150 providers recruited from 19 health facilities in the Upper East region of Ghana from October 2020 to January 2021. Explicit SES bias was assessed using situationally-specific vignettes (low SES and high SES characteristics) on providers’ perceptions of women’s expectations, attitudes, and behaviors. Implicit SES bias was assessed using an Implicit Association Test (IAT) that measures associations between women’s SES characteristics and providers’ perceptions of women as ‘difficult’ or ‘good’. Analysis included descriptive statistics, mixed-model ANOVA, and bivariate and multivariate linear regression.ResultsThe average explicit bias score was 18.1 out of 28 (SD = 3.60) for the low SES woman vignette and 16.9 out of 28 (SD = 3.15) for the high SES woman vignette (p < 0.001), suggesting stronger negative explicit bias towards the lower SES woman. These biases manifested in higher agreement to statements such as the low SES woman in the vignette is not likely to expect providers to introduce themselves and is not likely to understand explanations. The average IAT score was 0.71 (SD = 0.43), indicating a significant bias in associating positive characteristics with high SES women and negative characteristics with low SES women. Providers with higher education had significantly lower explicit bias scores on the low SES vignette than those with less education. Providers in private facilities had higher IAT scores than those in government hospitals.ConclusionsThe findings provide evidence of both implicit and explicit SES bias among maternity providers. These biases need to be addressed in interventions to achieve equity in PCMC and to improve PCMC for all women.

Neighborhood Characteristics and the Burden of E-Cigarette, or Vaping, Product Use-Associated Lung Injury: An Ecological Comparison Study

Purpose: E-cigarette, or vaping, product use-associated lung injury (EVALI) is a severe consequence of vaping first described in 2019. Investigating associations between neighborhood-level characteristics and EVALI cases is an important step in identifying at-risk communities to implement future targeted prevention programs. Methods: We retrospectively identified 41 adolescents <19 years hospitalized for treatment for EVALI at Children's Medical Center Dallas from December 2018 to June 2021. Patient ZIP codes were extracted from the electronic medical record and were compared with Dallas area ZIP codes containing no EVALI cases. Socioeconomic status (SES) characteristics were obtained from the 2019 American Community Survey, and they were mapped for ZIP codes using ESRI ArcMap geospatial processing software. A parallel analysis was conducted utilizing data of adolescents hospitalized with appendicitis. Results: Ninety-five percent of our cohort used tetrahydrocannabinol-containing products, and 66% obtained their vaping products from informal sources. EVALI cases were less likely to reside in higher SES ZIP codes as measured by the proportion of the population with at least a high school education (odds ratio [OR]: 0.95, 95% confidence interval [CI]: 0.92-0.99), access to broadband access (OR: 0.95, 95% CI: 0.91-0.99), and private health insurance (OR: 0.97, 95% CI: 0.95-0.99). Alternatively, they were more likely to reside in lower SES ZIP codes as measured by proportion of the population without any health insurance (OR: 1.07, 95% CI: 1.01-1.12). No neighborhood level low SES characteristics were associated with appendicitis hospitalizations. Conclusions: Although small in magnitude, EVALI cases were associated with lower SES ZIP codes but not with vape shop density.

Association between socioeconomic status and presenting characteristics and extent of disease in patients with surgically resected nonfunctioning pituitary adenoma.

The aim of this study was to evaluate the association between zip code-level socioeconomic status (SES) and presenting characteristics and short-term clinical outcomes in patients with nonfunctioning pituitary adenoma (NFPA). A retrospective review of prospectively collected data from the University of Southern California Pituitary Center was conducted to identify all patients undergoing surgery for pituitary adenoma (PA) from 2000 to 2021 and included all patients with NFPA with recorded zip codes at the time of surgery. A normalized socioeconomic metric by zip code was then constructed using data from the American Community Survey estimates, which was categorized into tertiles. Multiple imputation was used for missing data, and multivariable linear and logistic regression models were constructed to estimate mean differences and multivariable-adjusted odds ratios for the association between zip code-level SES and presenting characteristics and outcomes. A total of 637 patients were included in the overall analysis. Compared with patients in the lowest SES tertile, those in the highest tertile were more likely to be treated at a private (rather than safety net) hospital, and were less likely to present with headache, vision loss, and apoplexy. After multivariable adjustment for age, sex, and prior surgery, SES in the highest compared with lowest tertile was inversely associated with tumor size at diagnosis (-4.9 mm, 95% CI -7.2 to -2.6 mm, p < 0.001) and was positively associated with incidental diagnosis (multivariable-adjusted OR 1.72, 95% CI 1.02-2.91). Adjustment for hospital (private vs safety net) attenuated the observed associations, but disparities by SES remained statistically significant for tumor size. Despite substantial differences at presentation, there were no significant differences in length of stay or odds of an uncomplicated procedure by zip code-level SES. Patients from lower-SES zip codes were more likely to require postoperative steroid replacement and less likely to achieve gross-total resection. In this series, lower zip code-level SES was associated with more severe disease at the time of diagnosis for NFPA patients, including larger tumor size and lower rates of incidental diagnosis. Despite these differences at presentation, no significant differences were observed in short-term postoperative complications, although patients with higher zip code-level SES had higher rates of gross-total resection.

Impact of neighbourhood-level socioeconomic status, traditional coronary risk factors, and ancestry on age at myocardial infarction onset: A population-based register study

BackgroundThere is consensus that low socioeconomic status (SES) is associated with an increased risk of acute myocardial infarction (AMI), but the extent to which traditional coronary risk factors and other characteristics of low SES mediate this effect remains uncertain. This study examined AMI patients residing in neighbouring city districts with the same local hospital despite having among the most considerable differences in mean SES in Norway. Our purpose was to assess low SES as a coronary risk factor and examine whether traditional coronary risk factors or ancestry mediate this effect.MethodsSix hundred six patients (215 and 391 with a low and high neighbourhood-level SES, respectively) admitted to Diakonhjemmet Hospital with non-ST-elevation myocardial infarction (NSTEMI) between 2014 and 2017, entered analysis. Data from the Norwegian Myocardial Infarction Register were used to identify patient characteristics, and the STATA/SE 15.1 software was used to perform the statistical analyses.ResultsPatients from socioeconomically disadvantaged city-districts had a 4.9 years earlier onset of AMI (68.99 vs. 73.89 years; p < 0.001) and a higher prevalence of previous AMI, known diabetes, and current smokers (36% vs. 27%, 25% vs. 12%, and 33% vs. 17%, respectively; all p ≤ 0.05). When only comparing patients with a first time AMI, an even greater difference in the age at AMI onset was found (6.1 yrs; p < 0.001). The difference in age at AMI onset remained statistically significant when adjusting for traditional coronary risk factors (3.28 yrs; 95% confidence interval (CI) 1.11−5.44; p = 0.003), but not when adjusting for presumed non-Northwest-European ancestry (1.81 yrs; 95% CI −0.55 to 4.17; p = 0.132).ConclusionThis study supports earlier research showing an increased risk of AMI in socioeconomically disadvantaged individuals. In our population, presumed non-Northwest-European ancestry could entirely explain the increased risk, whereas traditional coronary risk factors could only partly explain the increased risk.

Socioeconomic status and access to psychotherapy.

Individuals with low socioeconomic status (SES) have significantly higher prevalence rates of mental disorders than those with higher SES, but are less likely to receive treatment. Studies from the United States show that individuals with higher SES are more likely to be offered a therapy place than those with low SES. In Germany, where the public health care system is without financial barriers, studies on access to treatment are lacking. The present study investigated whether the SES of persons seeking psychotherapeutic help in Germany influences psychotherapists' decision to provide access to treatment. For this purpose, 504 licensed outpatient psychological psychotherapists participated in an online study, in which they read a series of case vignettes and rated how likely they would be to offer treatment in each case. SES was operationalized by occupation and language use. Additionally, we investigated whether treatment offers were affected by the disorder and the gender of the help seeker, the therapists' socioeconomic background, and other characteristics in interaction with SES. Bonferroni-corrected multifactorial repeated measures analysis of variances (ANOVAs) and mixed ANOVAs were calculated. Help seekers with low SES were 4.1% less likely to be offered treatment than those with moderate to high SES (F (1, 503) = 115.64; p = 0.000; η² = 0.187). The influence of SES on the probability of a therapy place offer varied significantly depending on the patient's disorder (p = 0.000): SES had a greater effect for bulimia than for depression and social anxiety disorder. Overall, the effect was small (η² = 0.026). No significant interaction between the gender of potential clients and SES was found (p = 0.062). The influence of SES on treatment accessibility varied depending on the therapeutic method for which the therapist was licensed and on the social status of the district in which the therapist's practice was located. The therapist's socioeconomic background (parental SES) did not interact with the potential client's SES. Therapist biases contributing to unequal access to treatment for individuals with low SES and other characteristics can aggravate mental health care disparities. Even though the effects we found were relatively modest, awareness of the association between SES and offers of therapy places might help practitioners to reflect on their own selection practices.

Association between secondhand smoke exposure in pregnant women and their socioeconomic status and its interaction with age: a cross-sectional study

BackgroundExisting evidence highlights that exposure to secondhand smoke (SHS) is a risk factor for pregnant women’s health and is possibly affected by individual characteristics. This study aimed to explore the effect of individual socioeconomic status (SES) on SHS exposure among pregnant women in the third trimester and the interaction effect of age.MethodsA total of 678 nonsmoking pregnant women with a median age of 29.0 years from 14 communities in a medium-sized city were recruited for this survey. Exposure to SHS was defined as the self-reported smoking habit of a spouse/partner. Individual SES characteristics consisted of marital status, educational attainment, employment and per capita monthly income.ResultsThere were 238 (35.1%) participants who suffered from SHS exposure. Compared to the pregnant women who were employed, those who were unemployed were more likely to suffer from SHS exposure (OR = 1.572, 95% CI: 1.013–2.441). Participants who had a high school or technical secondary school education were more likely to be exposed to SHS than those with a college education or above (OR = 1.601, 95% CI: 1.029–2.449). Advanced age was a protective factor for participants with a college education or above (OR = 0.939, 95% CI: 0.884–0.997), but age increased the risk of SHS exposure among women who had unstable marriages (OR = 1.256, 95% CI: 1.019–1.549).ConclusionExposure to SHS was very common among pregnant women in the third trimester. Pregnant women with a low SES and an older age should be considered a key population for the implementation of public health interventions.

The effect of age on specialized palliative care use in the last year of life for patients who die of cancer: A nationwide study from Norway

IntroductionSpecialized palliative care (SPC) is beneficial towards end of life because of its holistic approach to improve quality of life and comfort of patients and their families. Few studies have described how patient age, sex, comorbidities, and socioeconomic status (SES) are associated with SPC use in nonselective populations who die of cancer. This study aimed to evaluate the use of SPC in the year preceding death by all Norwegian individuals with a recent cancer diagnosis who died of cancer. Materials and MethodsFrom nationwide registries, we identified patients with a recent (<5 years) cancer diagnosis who died during 2010–2014. Using binary logistic regression models, we estimated the probability of receiving hospital-based SPC during the last year of life according to individual (age, sex, comorbidity), cancer (stage, type, and months since diagnosis), and SES (e.g., living alone, household income, and education) characteristics. ResultsThe analytical sample contained 45,521 patients with a median age at death of 75 years; 46% were women. The probability of receiving hospital-based SPC in the total cohort was 0.43 (95% confidence interval [CI] 0.42–0.43). Use of SPC was higher if patients were younger, female, had limited comorbidity, metastatic disease, had one the following cancer types: colorectal, pancreatic, bladder, kidney, or gastric, were diagnosed more than six months before death, and had higher SES. Adjusted model results suggested that the probability of using SPC in the last year of life for patients aged 80–89 years was 0.31 (95% CI 0.30–0.32), compared to a probability of 0.63 (95% CI 0.61–0.65) for patients aged 50–59 years. For patients ≥90 years, the probability was 0.16 (95% CI 0.15–0.18). DiscussionLess hospital-based SPC use among older patients, males, and those with lower SES indicates possible under-treatment in these groups. Future studies should be designed to determine the underlying reasons for these observed differences.

Influence of geographic access and socioeconomic characteristics on breast cancer outcomes: A systematic review.

Socio-economic and geographical inequalities in breast cancer mortality have been widely described in European countries and the United States. To investigate the combined effects of geographic access and socio-economic characteristics on breast cancer outcomes, a systematic review was conducted exploring the relationships between: (i) geographic access to healthcare facilities (oncology services, mammography screening), defined as travel time and/or travel distance; (ii) breast cancer-related outcomes (mammography screening, stage of cancer at diagnosis, type of treatment and rate of mortality); (iii) socioeconomic status (SES) at individuals and residential context levels. In total, n = 25 studies (29 relationships tested) were included in our systematic review. The four main results are: The statistical significance of the relationship between geographic access and breast cancer-related outcomes is heterogeneous: 15 were identified as significant and 14 as non-significant. Women with better geographic access to healthcare facilities had a statistically significant fewer mastectomy (n = 4/6) than women with poorer geographic access. The relationship with the stage of the cancer is more balanced (n = 8/17) and the relationship with cancer screening rate is not observed (n = 1/4). The type of measures of geographic access (distance, time or geographical capacity) does not seem to have any influence on the results. For example, studies which compared two different measures (travel distance and travel time) of geographic access obtained similar results. The relationship between SES characteristics and breast cancer-related outcomes is significant for several variables: at individual level, age and health insurance status; at contextual level, poverty rate and deprivation index. Of the 25 papers included in the review, the large majority (n = 24) tested the independent effect of geographic access. Only one study explored the combined effect of geographic access to breast cancer facilities and SES characteristics by developing stratified models.

Abstract WP233: Socioeconomic Status And Comorbidity Variance In Ischemic Stroke

Introduction: Socioeconomic status (SES) is an upstream determinant of cerebrovascular disease comorbidities and subsequently ischemic stroke. Here we examined the association of SES and modifiable ischemic stroke risk factors. Methods: Hospitalized ischemic stroke patient data from 10/1/2015 - 12/31/2018 was obtained via the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (NIS). Demographic characteristics of age, sex, race, US region, SES (defined as median household income range by zip code) and ischemic stroke risk factors of atrial fibrillation/flutter (AF), type II diabetes (DM), hypertension (HTN), hyperlipidemia (HLD), tobacco use, and obesity were identified using published ICD-10 codes. Multivariable logistic regression was used to assess each condition individually and identify which comorbidities were associated with specific socioeconomic quartiles (Q1, Q4) when adjusted for the abovementioned demographics. Results: Of the 382,734 adult ischemic stroke patients identified, mean age was 70 ±14.2 years and 50.3% were female. Socioeconomic status quartiles ranged from &lt;$43,749 (Q1) to &gt;$73,000 (Q4); 30.9% of ischemic stroke patients were in SES Q1 (vs 19.1% in SES Q4). Patients in Q1 experienced ischemic stroke at a younger age (67.9 ±14.1) as compared to patients in Q4 (72.4 ±14), p&lt;0.001. In adjusted models with Q4 as reference, Q1 patients had increased odds for DM [OR 1.27, p&lt;0.001, 95% CI 1.24 - 1.29], obesity [OR 1.05, p&lt;0.004, CI 1.02 - 1.08], and tobacco use [OR 1.66, p&lt;0.001, CI 1.51 - 1.83]. Conversely, Q1 patients had decreased odds of AF [OR 0.91, p&lt;0.001, CI 0.89 - 0.93] and HLD [OR 0.81, p&lt;0.001, CI 0.79 - 0.82]. There was no significant association between SES quartile and HTN. Conclusion: Lower SES was associated with higher odds of specific ischemic stroke risk factors. While the etiology of the risk factor variance is beyond the scope of current data analysis, the cause is likely multifactorial and influenced by underlying detection bias, income inequity, and level of education/health literacy. Further research and subgroup analysis is warranted as it may impact future preventative measures and treatment protocols.

Genetic Risk for Smoking: Disentangling Interplay Between Genes and Socioeconomic Status

This study aims to disentangle the contribution of genetic liability, educational attainment (EA), and their overlap and interaction in lifetime smoking. We conducted genome-wide association studies (GWASs) in UK Biobank (N = 394,718) to (i) capture variants for lifetime smoking, (ii) variants for EA, and (iii) variants that contribute to lifetime smoking independently from EA (‘smoking-without-EA’). Based on the GWASs, three polygenic scores (PGSs) were created for individuals from the Netherlands Twin Register (NTR, N = 17,805) and the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2, N = 3090). We tested gene–environment (G × E) interactions between each PGS, neighborhood socioeconomic status (SES) and EA on lifetime smoking. To assess if the PGS effects were specific to smoking or had broader implications, we repeated the analyses with measures of mental health. After subtracting EA effects from the smoking GWAS, the SNP-based heritability decreased from 9.2 to 7.2%. The genetic correlation between smoking and SES characteristics was reduced, whereas overlap with smoking traits was less affected by subtracting EA. The PGSs for smoking, EA, and smoking-without-EA all predicted smoking. For mental health, only the PGS for EA was a reliable predictor. There were suggestions for G × E for some relationships, but there were no clear patterns per PGS type. This study showed that the genetic architecture of smoking has an EA component in addition to other, possibly more direct components. PGSs based on EA and smoking-without-EA had distinct predictive profiles. This study shows how disentangling different models of genetic liability and interplay can contribute to our understanding of the etiology of smoking.

Abstract 12975: Socioeconomic Status Impact on Out-of-Hospital Cardiac Arrest Post-Arrest Care and Outcomes

Introduction: Post-arrest care after out-of-hospital cardiac arrest (OHCA) is critical to optimizing outcomes. Large socioeconomic disparities in prehospital resuscitation interventions have been shown. Less is understood about disparities in post-arrest care and their impact on patient outcomes. We evaluated the association of socioeconomic status (SES) with post-arrest care and outcomes. Methods: We included adult OHCA patients who survived to hospital admission using the 2014-2020 data in Texas from the Cardiac Arrest Registry to Enhance Survival (CARES) . We linked CARES data to census tracts and stratified census tracts above and below the median for SES characteristics: household income, employment rate, and high school graduation. We defined outcomes as targeted temperature management (TTM), Percutaneous Coronary Intervention (PCI), survival to discharge, and survival with a Cerebral Performance Category (CPC) 1-2. We fit a mixed effects model, logistic regression evaluating the association between SES characteristics and outcomes, modeling receiving hospital as the random intercept. We adjusted for age, neighborhood race, sex, bystander witnessed arrest, bystander CPR, and initial shockable rhythm. Results: There were 37,055 adult cases of OHCA taken to 164 hospitals, 9,346 survived to admission; median age was 62, 60.7% were male, 32.5% received TTM, 5.7% received PCI, 34.9% survived to hospital discharge, and 22.0% had a good CPC score. Low employment was associated with low PCI (1.5% v 2.8%, aOR 0.5, 95% CI 0.3-0.9). Low education was linked to worse survival (32.3% v 37.5%, aOR 0.9, 95% CI 0.8-0.99). Low employment was linked to worse CPC (17.5% v 26.4%, aOR 0.8, 95% CI 0.7-0.9). Low income was not associated with TTM (aOR 1.05, 95% CI 0.9-1.2), PCI (aOR 0.9, 95% CI 0.9-1.3), survival (aOR 0.9, 95% CI 0.8-1.0), or good CPC (aOR 1.0, 95% CI 0.9-1.2). Low employment was not associated with TTM (aOR 1.0, 95% CI 0.8-1.1), or survival (aOR 1.0, 95% CI 0.9-1.1). Low education was not associated with low PCI (4.0% v 7.4%, aOR 0.8, 95% CI 0.6-0.1.01), low TTM (aOR 1.0, 95% CI 0.9-1.1), or survival (aOR 0.9, 95% CI 0.8-1.03). Conclusion: SES characteristics were linked to lower PCI rates and worse outcomes, but SES was not associated with TTM.