Socioeconomic Disparities In Health Research Articles

Nonlinear associations between the ratio of family income to poverty and all-cause mortality among adults in NHANES study

Socioeconomic status (SES) has been linked to mortality rates, with family income being a quantifiable marker of SES. However, the precise association between the family income-to-poverty ratio (PIR) and all-cause mortality in adults aged 40 and older remains unclear. A cross-sectional study was conducted using data from NHANES III, including 20,497 individuals. The PIR was used to assess financial status, and various demographic, lifestyle, and clinical factors were considered. Mortality data were collected from the NHANES III linked mortality file. The study revealed a non-linear association between PIR and all-cause mortality. The piecewise Cox proportional hazards regression model showed an inflection point at PIR 3.5. Below this threshold, the hazard ratio (HR) for all-cause mortality was 0.85 (95% CI 0.79–0.91), while above 3.5, the HR decreased to 0.66 (95% CI 0.57–0.76). Participants with lower income had a higher probability of all-cause mortality, with middle-income and high-income groups showing lower multivariate-adjusted HRs compared to the low-income group. This study provides evidence of a non-linear association between PIR and all-cause mortality in adults aged 40 and older, with an inflection point at PIR 3.5. These findings emphasize the importance of considering the non-linear relationship between family income and mortality when addressing socioeconomic health disparities.

Socioeconomic status and health disparities drive differences in accelerometer-derived physical activity in fatty liver disease and significant fibrosis

Background and aims The cornerstone of clinical management of patients with nonalcoholic fatty liver disease (NAFLD) are lifestyle changes such as increasing physical activity (PA) aimed at improving cardiometabolic risk. To inform NAFLD prevention and treatment guidelines we aimed to: (i) quantify the role of PA on lowering the risk for NAFLD and fibrosis; (ii) characterize NAFLD and fibrosis association with PA in the context of socioeconomic environment. Methods A sample of 2648 participants from the NHANES 2003–2006 was selected to develop survey weighted multivariable logistic regression models for predicting NAFLD and significant fibrosis, diagnosed non-invasively via fatty liver index (FLI) and fibrosis-4 (FIB-4) index. The PA measures were obtained from a hip-worn accelerometer. Results The predictive model for NAFLD showed AUC of 0.687 and a decrease of 43% in NAFLD risk with moderate vigorous PA (MVPA) (OR = 0.569, p < 0.001). The predictive model for fibrosis had AUC of 0.755 and there was a 48% and a 70% decrease in significant fibrosis risk with MVPA (OR = 0.518, p = 0.022) and total log activity count (TLAC) (OR = 0.296, p = 0.017), respectively. Participants with NAFLD and NAFLD with fibrosis engage in declining PA. Despite having jobs with higher level of PA and participating in more moderate-to-vigorous PA, a larger proportion of Hispanics participants had NAFLD and significant fibrosis. Conclusions These findings demonstrate the role of PA as a protective factor against the presence of NAFLD and significant fibrosis. Protective levels of PA in NAFLD differ by races.

School-Family Partnerships to Support Attendance: Advancing an Equity-Centered Theoretical Framework.

Since returning to in-person instruction after the emergence of COVID-19 schools have seen a dramatic increase in the number of students chronically absent, with data indicating a greater increase for low-income, Black, and Hispanic students. Given the role of school attendance in both promoting positive educational outcomes as well as providing students with physical and mental health supports, it is critical to identify ways to re-engage families in a manner that is culturally responsive and equitable. Current attendance interventions focus primarily on school-based academic and behavioral supports for students while excluding the family. Additionally, traditional family engagement models do not address the sociocultural realities of low-income and/or minoritized families. We present a strengths-based model of family engagement to support attendance. Along with our model, we provide concrete supports that schools can provide, including example measurement items. In this way, schools and districts can self-assess as well as identify action steps to promote positive school-family partnerships for equitable family engagement. Without consistent attendance, schools cannot support positive educational outcomes nor provide important safety net services for students. Attendance is a family engagement challenge, which addressing holistically can reduce racial and socioeconomic educational and health disparities.

Racial and Socioeconomic Status among a Patient Population Presenting with Aneurysmal Subarachnoid Hemorrhage versus Unruptured Intracranial Aneurysm: A Single-Center Study.

Racial and socioeconomic health disparities are well documented in the literature. This study examined patient demographics, including socioeconomic status (SES), among individuals presenting with aneurysmal subarachnoid hemorrhage (aSAH) and unruptured intracranial aneurysm (UIA) to identify factors associated with aSAH presentation. A retrospective assessment was conducted of all patients with aSAH and UIA who presented to a large-volume cerebrovascular center and underwent microsurgical treatment from January 2014 through July 2019. Race and ethnicity, insurance type, and SES data were collected for each patient. Comparative analysis of the aSAH and UIA groups was conducted. Logistic regression models were also employed to predict the likelihood of aSAH presentation based on demographic and socioeconomic factors. A total of 640 patients were included (aSAH group, 251; UIA group, 389). Significant associations were observed between race and ethnicity, SES, insurance type, and aneurysm rupture. Non-White race or ethnicity, lower SES, and having public or no insurance were associated with increased odds of aSAH presentation. The aSAH group had poorer functional outcomes and higher mortality rates than the UIA group. Patients who are non-White, have low SES, and have public or no insurance were disproportionately affected by aSAH, which is historically associated with poorer functional outcomes.

Socioeconomic mental health disparities and income mobility in Australia: A longitudinal factor decomposition analysis

In recent years mental health disparity has been rising in Australia. The contributing factors to this rising disparity are not well understood. We investigated this by measuring and decomposing socioeconomic mental health inequality in Australia using the Household, Income and Labour Dynamics in Australia (HILDA) panel survey datasets between 2009 and 2017 employing the longitudinal factor decomposition method. In this research, we decompose the Income-Related Health Mobility (IRHM) and the Health-Related Income Mobility (HRIM) index. The IRHM index reflects the effect of the relationship between relative health changes at a constant income level, and the HRIM index represents changes in income ranking or income mobility with a fixed health outcome over time. Our findings suggest that poorer individuals cannot procure private health insurance, experience more long-term health conditions and have larger exposure to life shocks than richer individuals. Thus, long-term health conditions, private health insurance coverage, and number of life disruptions are the primary factors that negatively impact the IRHM index, thereby contributing to an increase in socioeconomic inequality in mental health in Australia. Moreover, the HRIM index exhibits a more pronounced adverse impact from labour force status compared to the relatively weaker positive effects observed in the IRHM index, resulting in a net negative effect from labour force status in this period. To address this, Australian governments should focus on implementing cost-effective intervention policies targeting disadvantaged populations to maximise health system resources and minimise mental health disparity by addressing the socioeconomic determinants of mental health.

Stress, Allostatic Load, and Neuroinflammation: Implications for Racial and Socioeconomic Health Disparities in Glaucoma.

Glaucoma is the leading cause of irreversible blindness, and its pathophysiology includes neuroinflammatory changes. The present therapies for glaucoma target pressure-lowering mechanisms with limited success, making neuroinflammation a target for future interventions. This review summarizes the neuroinflammatory pathways seen in glaucoma and their interplay with stress. Glucocorticoids have been shown to activate proinflammatory glial cells, contributing to the neuroinflammation in glaucoma. Glucocorticoids have also been shown to increase the IOP directly. Stress-associated autonomic dysfunction can affect the vascular homeostasis in the retina and create oxidative stress. Diabetes, hyperglycemic-mediated endothelial damage, and vascular inflammation also play important roles in the neuroinflammation in glaucoma and diabetic retinopathy. Psychosocial stress has been implicated in an increased IOP and glaucoma outcomes. People who experience maladaptive chronic stress suffer from a condition known as allostatic load, which describes pathologic neuroendocrine dysregulation. The effects of allostatic load and chronic stress have been studied in patients affected by a lower socioeconomic status (SES) and marginalized racial identities. A lower SES is associated with higher rates of glaucoma and also affects the access to care and screening. Additionally, people of African ancestry are disproportionately affected by glaucoma for reasons that are multifactorial. In conclusion, this review explores neuroinflammation in glaucoma, highlighting opportunities for future investigation.

Food Insecurity, Neighborhood Food Environment, and Health Disparities: State of the Science, Research Gaps and Opportunities

Food insecurity and the lack of access to affordable, nutritious food are associated with poor dietary quality and an increased risk of diet-related diseases, including cardiovascular disease, diabetes, and certain types of cancer. Those of lower socioeconomic status and racial and ethnic minority groups experience higher rates of food insecurity, are more likely to live in under-resourced food environments, and continue to bear the greatest burden of diet-related chronic diseases in the United States. Despite the growing body of literature in this area, there are still significant gaps in our understanding of the various pathways that link food insecurity and neighborhood food environments to racial/ethnic and socioeconomic disparities in health and the most effective intervention strategies to address these disparities. To better understand the science in this area, the National Institutes of Health, in collaboration with the Centers for Disease Control (CDC) and Prevention and the United States Department of Agriculture (USDA), convened a virtual 3-d workshop 21–23 September 2021: Food Insecurity, Neighborhood Food Environment, and Nutrition Health Disparities: State of the Science. The workshop brought together a diverse group of researchers, practitioners, policymakers, and federal partners with expertise in nutrition, the food environment, health and social policy, and behavioral and social sciences. The workshop had the following 3 research objectives: 1) summarize the state of the science and knowledge gaps related to food insecurity, neighborhood food environments, and nutrition health disparities, 2) identify research opportunities and strategies to address research gaps, and 3) examine evidence-based interventions and implementation approaches to address food insecurity and neighborhood food environments to promote health equity. This article summarizes workshop proceedings and describes research gaps and future opportunities that emerged from discussions.

Exploring relationships between socioeconomic status and health disparities in Pre-HSCT multiple myeloma patients and caregivers

Exploring relationships between socioeconomic status and health disparities in Pre-HSCT multiple myeloma patients and caregivers

Early detection of lung cancer through programmatic management of pulmonary nodules in the Mississippi Delta.

126 Background: Lung cancer (LC) causes the most cancer deaths in the US, but early detection improves outcomes. Uptake of Low-Dose CT screening (LDCT) has been low, contributing to race-based disparities. Programmatic management of incidentally detected pulmonary nodules (PN) provides a complementary avenue for early detection which could address disparities. In our PN cohort, Detecting Early LC in the Mississippi Delta (DELUGE), we provide broad access to early detection across a region fraught with geographic, socioeconomic, and race-based disparities. However, many detected PN will not result in LC. After successful implementation at the program level, we seek to evaluate individual-level factors important for early-detection. We evaluated how individuals with small PN identified in DELUGE differ between those who were and were not diagnosed with LC. Methods: DELUGE is a prospective cohort study where we systematically manage incidentally detected PN with trained navigators and evidence-based risk stratification. We constructed DELUGE in a community-based healthcare system across the mid-south with some of the highest per-capita LC incidence and mortality rates in the US. We evaluated all PN ≤30mm in DELUGE from 2015-2022. We compared clinical and demographic characteristics between individuals who were or were not diagnosed with LC within 24 months. Primary analysis used logistic regression, reporting odds ratios (OR) with 95% confidence intervals. Results: From 2015-2022, 17,945 individuals with PN ≤30 mm (71% of the total cohort of 25,339) were identified and enrolled in DELUGE. They had median age of 65 years, were 56% female, and 27% Black / 69% White. 853 (4.8%) patients were diagnosed with LC within two years. PN size significantly predicted LC diagnosis. For every 1 mm increase in nodule size the odds of LC increased by 15% (OR: 1.15 [1.14-1.16]); PN in an upper lobe (OR: 2.0 [1.7-2.2]) and those with cavitation also increased the odds of LC (OR: 2.9[1.9-4.2]). Sex, rural/urban residence, and number of PN were not associated with LC. The most predictive individual level characteristics were age, prior cancer history (OR: 1.3 [1.1-1.5], family cancer history (OR: 1.7 [1.5-2.0], COPD (OR: 3.3 [2.9-3.8]), and smoking history (OR: 6.6 [5.3-8.4]). In the multiple variable model, the most significant associations with LC diagnosis included PN size, age, insurance, family cancer history, COPD, and smoking history (all p<0.0001). This model could provide estimated sensitivity 0.81 and specificity 0.81 for predicting LC (AUC= 0.88). Conclusions: Factors measurable at baseline have predictive ability, and predictive modeling may be useful in management of small PN. More focused follow-up could improve programmatic efficiency, targeting the alleviation of geographic, socioeconomic, and race-based health disparities in this high poverty region of the US.

Municipal social expenditures and maternal health disparities: a study of linked birth and hospitalisation records

BackgroundLocal government expenditures provide services and benefits that can affect health but the extent to which they are associated with narrowing or widening of racial/ethnic and socioeconomic disparities in health...

Do disasters exacerbate socioeconomic inequalities in health among older people?

Disasters can exacerbate socioeconomic health disparities because of differential exposure (e.g., socioeconomically disadvantaged groups are more likely to be exposed to disaster-related trauma) and differential vulnerability (disadvantaged groups are more likely to suffer health consequences of exposure to trauma). We sought to test whether health disparities among older adults widened in the area which was directly affected by the 2011 Great East Japan Earthquake & Tsunami compared to areas which largely escaped tsunami damage. We used data from a cohort of community-dwelling older adults who were directly affected by the 2011 disaster (the Iwanuma Study) and municipalities that were not directly affected (the JAGES parent cohort excluding Iwanuma city). The Iwanuma Study gathered pre-disaster information from participants in 2010 (seven months before the disaster) as well as post-disaster information in 2013, 2016 and 2019 (2.5, 5.5 and 8.5 years after the disaster). Our outcomes were depressive symptoms (GDS) and instrumental activities of daily living (IADL). We examined the pre-versus post-disaster trends in socioeconomic health disparities using the slope index and relative index of inequality. We then conducted a difference-in-difference analysis comparing the pre/post disaster change in health disparities in the “exposed” city (Iwanuma) compared to “control” cities. We found clear pre-disaster socioeconomic inequalities in both GDS and IADL in both the exposed and control cities. However, the magnitude of these inequalities did not change after the disaster on either the absolute or relative scales. The 2011 disaster in northeastern Japan did not exacerbate pre-existing patterns of health inequalities in the older population.

Sleep, Poverty, and Biological Stress: Mitigating Sleep Health Disparities in Early Childhood

In the first years of life, poverty increases the risk of sleep problems such as late bedtimes and frequent night awakenings. In turn, children with sleep problems are more likely to go on to have poor physical and mental health outcomes as adults. The development of sleep and biological stress systems is connected, so that sleep problems can lead to abnormal function of the stress hormone cortisol and contribute to enduring socioeconomic health disparities. Sleep also is critical to brain and cognitive development. Sleep practices such as inconsistent bedtime and absence of a bedtime routine are more common in families experiencing poverty and stress. To address early childhood sleep problems, there is an urgent need for policies that help low-income families to access behavioral sleep interventions; provide families with affordable healthcare, housing, and nutrition; and adjust childcare and school practices to support healthy sleep.

“Not a Major or Complicated Task”: Activating Dugnad under COVID-19 and the Imagination of Equality in the Norwegian Welfare State

In Norway, the institution of the welfare state and trust in the government defined the country’s approach to tackling the pandemic. In particular, the government’s strategy to activate the cultural concept of dugnad (voluntary, reciprocal communal work), which relies on an equal standing of all participants, plays into the national imaginary of an egalitarian and just society. However, like in other countries, COVID-19 has put the spotlight on inequalities in access to healthcare, information, adequate housing, and more. Investigating infection measures and their indirect consequences can clarify which values and people are given priority in a crisis and who is seen as belonging to Norwegian society. This article points to the pandemic as a magnifying glass revealing the lack of enough emergency care nurses, physicians, equipment, hospital and psychiatry beds, adequate health literacy efforts and more. Moreover, it magnifies heteronormative and Eurocentric ideas of who makes up a family, compounded by nationalistic notions of who is Norwegian enough to belong. By activating dugnad, politicians transferred their responsibilities as elected leaders to individual citizens, leading to the growth of socioeconomic inequalities and health disparities during the pandemic while also resulting in the poor communication of the long-term and indirect costs of pandemic measures.

"I don't have the energy": Racial stress, young Black motherhood, and Canadian social policies.

Significant socio-economic, health, and mental health disparities due to highly entrenched and systemic anti-Black racism in Canadian institutions, policies, and practices are now well documented in research and policy reports. Yet, few in-depth studies have addressed the mental health impacts of anti-Black racism on Canadian populations. This article is rooted in a community-based, qualitative research project with young first and second-generation Black Caribbean-Canadian mothers and is informed by Black Feminist epistemologies and intersectional theories and methodologies. Our research demonstrates how participants' childhood experiences with xenophobic and racist immigration policies and educational, child welfare, and childcare systems caused their future mental health challenges as young Black mothers, and how these struggles were exacerbated by their encounters with the racist, ageist, xenophobic medical, social, and mental health services they had to access as young mothers. Based on these findings, we recommend enhancements to current social policies to minimize the differential mental health impacts on young Black Canadian mothers.

Repairing the prosthetic science-policy rift: Challenges to improved access to and translation of prosthetic technologies

We outline a brief history of the technology and state of medical care for individuals with limb loss throughout several eras of innovation in the United States. We review current challenges to preventative and post-amputation prosthetic health access, as well as the racial and socioeconomic health disparities among individuals who experience limb loss. We explore scientifically-inspired solutions to bridge the gap between current and emerging advanced technology and health coverage that can expand patient access to prosthetic devices and services.

Policy Brief.

Policy Brief.

Impact of health disparities on national breast cancer screening participation rates in South Korea

Socioeconomic barriers to cancer screening exist at a regional level. The deprivation index is used to estimate socioeconomic gradients and health disparities across different geographical regions. We aimed to examine the impact of deprivation on breast cancer screening participation rates among South Korean women. Municipal breast cancer screening participation rates in women were extracted from the National Cancer Screening Information System and linked to the Korean version of the deprivation index constructed by the Korea Institute for Health and Social Affairs. A generalised linear mixed model was employed to investigate the association between the deprivation index and age-standardised breast cancer screening participation rates in 2005, 2012, and 2018. Participation rates increased gradually across all age groups from 2005 to 2018. Participants in their 60 s consistently had one of the highest participation rates (2005: 30.37%, 2012: 61.57%, 2018: 65.88%). In 2005, the most deprived quintile had a higher estimate of breast cancer screening participation than the least deprived quintile (2nd quintile; estimate: 1.044, p = 0.242, 3rd quintile; estimate: 1.153, p = 0.192, 4th quintile; estimate: 3.517, p = 0.001, 5th quintile; estimate: 6.913, p = < 0.0001). In 2012, the participation rate also increased as the level of deprivation increased. There were no statistically meaningful results in 2018. Regions with high deprivation have a higher participation rate in breast cancer screening. The role of health disparities in determining cancer outcomes among women in Korea requires further examination.

How socioeconomically disadvantaged people access, understand, appraise, and apply health information: A qualitative study exploring health literacy skills.

Health literacy, or a person's competence to access, understand, appraise and apply health information, can be considered a mediating factor between socioeconomic characteristics and health disparities. Socioeconomically disadvantaged people in particular present with less health literacy skills. To develop targeted interventions tailored to their real needs, it is important to understand how they function and what difficulties they encounter when dealing with health information. The purpose of this study was to explore their experiences when accessing, understanding, appraising, and applying health information in their everyday lives. Semi-structured face-to-face interviews were conducted with 12 socioeconomically disadvantaged adults living in the community in Switzerland (age range: 44-60 years old). Thematic analysis of the interviews yielded four themes, describing the health literacy processes of participants, related barriers, and compensatory strategies used: Financial insecurity triggers the need for health information; Pathway 1: Physicians as ideal (but expensive) interlocutors; Pathway 2: The internet as a suboptimal alternative; and Pathway 3: Relatives as a default resource. The progression of socioeconomically disadvantaged people in the health literacy process is like an 'obstacle course', with numerous steps taken backwards before they can develop compensatory strategies to overcome the barriers to obtaining health information. Financial deprivation seems to be the most important factor contributing to health literacy barriers. Appraising health information is the health literacy skill with which socioeconomically disadvantaged people struggle the most. Physician-based, individual skills-based, organizational, and policy-based interventions are needed to help them overcome their health literacy challenges.

Exploring the relationship between multiple dimensions of subjective socioeconomic status and self-reported physical and mental health: the mediating role of affect.

This study aimed to investigate the predictive effects of two types of subjective socioeconomic status on self-reported physical and mental health. Specifically, we examined the MacArthur Scale (MacArthur) which measures perceived socioeconomic rank in the society and a novel scale called ComSim, which assessed how participants compared themselves socioeconomically to others coming from a similar socioeconomic background. We also considered the influence of income, education, and personal relative deprivation (PRD) in these analyses. Additionally, we explored whether these effects were mediated through negative and positive affect. The data were collected through a cross-sectional, two-wave survey of 294 women and 294 men, with a mean age 41.6 years. Participants were recruited via an online platform. The results from multivariate regression models revealed that socioeconomic status measured with both the MacArthur Scale and ComSim significantly predicted both self-reported health measures, whereas income and education did not predict any of these measures in the full multivariate models. PRD only predicted self-reported mental health. Mediation analyses showed that negative and positive affect mediated the relationships between socioeconomic status measured by ComSim and self-reported health measures. These findings are discussed in the context of the similarity hypothesis of social comparison theory. The results underscore the importance of considering multiple dimensions when examining socioeconomic health disparities.

Socioeconomic Status & Health Disparities: Utilizing a Composite Index across Health Datasets

Research indicates that the relationship between socioeconomic status (SES) and health outcomes are robust, though no ‘gold standard’ as to what best captures SES exists. Many studies use individual proxies to control for SES, but there are a number of limitations to doing so. Additionally, little research has been conducted as to how to develop a US-based composite SES index that can be utilized across various datasets. The aim of the study is to generate a weighted SES index, following the National Assessment of Educational Progress (NAEP)’s call for an understanding of SES groupings and the guidance of the Bureau of Justice’s SES index. After generating a composite SES index, we evaluate whether or not each unique index delivers a similar classification of SES across four national datasets and empirically compare the resulting grouping across datasets utilizing multiple regression analyses. Using weighted descriptive statistics and weighted logistic regression analyses, we reveal the key variations in the distribution of determinants of the socioeconomic index. While previous studies conflated race and ethnicity with SES to resulting health indicators, this study captures both, highlighting the importance of each covariate and a composite index. Our findings suggest similar outcomes with regards to the assigned SES classifications (i.e. low, middle, and high SES) across the four national datasets.