Impact of Race, Socioeconomic Status, and Geography on Healthcare Outcomes for Children With Sickle Cell Disease in the United States: A Scoping Review

A large proportion of patients with sickle cell disease (SCD) identify as Black or African American (AA). Social bias and stigma in healthcare outcomes for children with SCD are impossible to explore without considering the impact of racial/cultural identity, socioeconomic status (SES), and geography. It is important to understand the current influences of social movements, expanded health insurance coverage, and telehealth on these variables when considering healthcare outcomes for patients with SCD. The objective of this study was to determine the roles of racial identity, SES, and geography in healthcare outcomes for the pediatric population of children with SCD in the United States (US). This study is a scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The databases utilized included Cochrane, CINHAL, Medline, and Nursing and Allied Health Collection, all accessed through the EBSCO Information Services. Studies met the following inclusion criteria: published in English, pediatric patients residing in the US, and published between 2017 and 2022. Search terms included "sickle cell" AND "pediatric", which were then combined with "minority" OR "racial" OR "rural" OR "urban" OR "poverty" OR "income" OR "socioeconomic status". The initial search yielded 635 unique articles, with 17 articles meeting full inclusion criteria. Overall, it was clear that there are examples of positive effects of race, low SES, and rural geographic location on positive health outcomes, though a large number of studies oscillated between showing negative associations or no association at all. Barriers to care for patients with SCD are multifaceted, making it difficult to isolate and analyze the impact of individual variables. Many studies demonstrated the significance of family, community, and institutional relationships as positive support for patients with SCD. This review highlights the need for additional research on the healthcare outcome benefits of patient/familial support groups aiming to bring together patients who share racial experience and SCD diagnosis regardless of SES and geography.

The Impact of Socioeconomic Factors on Pediatric Oral Health: A Review

This narrative review examines the impact of socioeconomic status (SES) on pediatric oral health, emphasizing disparities in dental caries prevalence and oral health-related quality of life (OHRQoL) among children from different socioeconomic backgrounds. Utilizing an extensive literature search through PubMed, Google Scholar, and the chat.consensus.app plugin, we synthesized findings from studies published up to December 2023. The review highlights a consistent association between lower SES and adverse pediatric oral health outcomes, influenced by parental education, household income, food security, and neighborhood conditions. It also underscores the importance of the life-course perspective, showing how early-life socioeconomic disadvantages can have long-lasting effects on oral health. Furthermore, the review points to the critical role of school-based oral health education programs and the complex interplay between mental health, SES, and pediatric oral health. By examining the impact of socioeconomic factors across different childhood stages and the effectiveness of educational interventions, this review calls for targeted interventions and policy initiatives aimed at reducing socioeconomic inequalities in pediatric oral health. The findings advocate for a multifaceted approach to improve oral health outcomes for children across socioeconomic backgrounds, ensuring equitable access to oral health care and promoting overall well-being.

The Association Between Economic Status and Religious Identity With Oral Health Disparities and Inequalities Around the World

INTRODUCTION

The inequalities in oral health remain one of the current issues in the global public health agenda. The number of studies investigating health disparity by religious identity is limited and there is currently no such report relating to oral health. Similarly, there is compelling evidence for oral health disparities between socioeconomic statuses, education levels, and ethnic groups. This ecological study aimed to explore the disparity in oral health-related outcomes between Muslim and non-Muslim countries and country income status.

METHODS

Publicly available data related to oral health measures, country income status, and membership in the Organization of Islamic countries were used. Five oral health-related measures were examined: caries experience (decayed, missing, and filled teeth (DMFT)), percentage of the population with no periodontal disease, and disability-adjusted life years (DALY) attributed to oral conditions, and mouth and oropharynx cancer. One-way analysis of variance (ANOVA) and Kruskal-Wallis tests were used to compare the oral health parameters by country income status and simple linear regression was used to compare the parameters between the non-member countries (n-MC) and member countries (MC). For the significant parameters, adjusted coefficients were obtained using multiple linear regression.

RESULTS

From 170 countries included, 53 (31%) were MC and 117 (69%) were n-MC. Analysis showed that the mean DMFT in adults aged 35-44 years was significantly higher in the n-MC compared to MC after adjusting for country income status (p<0.05) but the latter was the stronger explanatory predictor of the outcome. The strength of the effect of country membership classification (standardized coefficient β: DMFT35-44-year-old = -0.16) was smaller than country income status (β = -0.60) in the multiple regression.

CONCLUSION

There is significant but weak evidence from the available data to support the claim that economic status and religion contribute to oral health disparity.

Association Between Socioeconomic Status Mobility and Inflammation Markers Among White and Black Adults in the United States: A Latent Class Analysis

OBJECTIVE

This article examines whether multidimensional indicators of objective and subjective socioeconomic status (SES) across the life course can be categorized into latent classes of SES mobility and tests the associations of these categories with inflammation markers among white and black adults.

METHODS

Data are from 592 non-Hispanic white and 158 non-Hispanic black participants who completed both the baseline survey and biomarkers assessment of the Midlife in the United States Refresher study. Groups of different SES mobility were examined using latent class analysis.

RESULTS

White and black participants showed different patterns of SES mobility. Among blacks, the latent classes were as follows: 1) objectively always high (24.71%; high objective SES across the life course), 2) subjectively always high (6.48%; high subjective and low objective SES across the life course), 3) downwardly mobile (35.84%; high childhood SES, low adult SES), and 4) always low (32.97%; low childhood SES, education, and adult SES). Among whites, the latent classes were as follows: 1) always high (52.17%; high childhood SES, high education, high adult SES), 2) upwardly mobile (18.14%; low childhood SES, high education, high adult SES), 3) subjectively downward (27.74%; high childhood SES, high education, high objective adult SES, low subjective adult SES), and 4) always low (1.95%; low childhood SES, education, and adult SES). SES mobility was associated with inflammation in white (Wald χ values (3) = 12.89-17.44, p values < .050), but not in black adults (Wald χ values (3) = 2.79-7.22, p values > .050).

CONCLUSION

The lack of SES mobility differentiation on inflammation is an indication of diminished return for the most affluent class among black participants.

Sociodemographic disparities in chronic pain, based on 12-year longitudinal data

Existing estimates of sociodemographic disparities in chronic pain in the United States are based on cross-sectional data, often treat pain as a binary construct, and rarely test for nonresponse or other types of bias. This study uses 7 biennial waves of national data from the Health and Retirement Study (1998-2010; n = 19,776) to describe long-term pain disparities among older (age 51+) American adults. It also investigates whether pain severity, reporting heterogeneity, survey nonresponse, and/or mortality selection might bias estimates of social disparities in pain. In the process, the article clarifies whether 2 unexpected patterns observed cross-sectionally-plateauing of pain above age 60, and lower pain among racial/ethnic minorities-are genuine or artefactual. Findings show high prevalence of chronic pain: 27.3% at baseline, increasing to 36.6% thereafter. Multivariate latent growth curve models reveal extremely large disparities in pain by sex, education, and wealth, which manifest primarily as differences in intercept. Net of these variables, there is no racial/ethnic minority disadvantage in pain scores, and indeed a black advantage vis-à-vis whites. Pain levels are predictive of subsequent death, even a decade in the future. No evidence of pain-related survey attrition is found, but surveys not accounting for pain severity and reporting heterogeneity are likely to underestimate socioeconomic disparities in pain. The lack of minority disadvantage (net of socioeconomic status) appears genuine. However, the age-related plateauing of pain observed cross-sectionally is not replicated longitudinally, and seems partially attributable to mortality selection, as well as to rising pain levels by birth cohort.

Socioeconomic and gender inequalities in job dissatisfaction among Japanese civil servants: the roles of work, family and personality characteristics

This study examines (1) whether there are employment grade and gender differences in job dissatisfaction and (2) whether work, family, and personality characteristics explain grade and gender differences in job dissatisfaction. The participants were 3,812 civil servants, aged 20-65, working at a local government in Japan. In both males and females, low control, low social support, work-to-family conflict, type A behaviour pattern and negative affectivity were significantly associated with job dissatisfaction. In females, high demands, long work hours and being unmarried were also associated with job dissatisfaction. Among males, in comparison with the highest grade employees, the age-adjusted odds ratio (OR) for job dissatisfaction in the lowest grade employees was 1.90 (95% CI: 1.40-2.59). The grade differences reduced to 1.08 (0.76-1.54) after adjustment for work, family and personality characteristics. Among females, similar grade differences were observed, although the differences were not statistically significant. In comparison with males, the age-adjusted OR in females for job dissatisfaction was 1.32 (1.14-1.52). This gender difference was reduced to 0.95 (0.79-1.14) following adjustment for the other factors. The majority of employees belong to low to middle grades, and female employees have increased. Reducing grade and gender differences in work and family characteristics is needed.

Food environment and socioeconomic status influence obesity rates in Seattle and in Paris

OBJECTIVE

To compare the associations between food environment at the individual level, socioeconomic status (SES) and obesity rates in two cities: Seattle and Paris.

METHODS

Analyses of the SOS (Seattle Obesity Study) were based on a representative sample of 1340 adults in metropolitan Seattle and King County. The RECORD (Residential Environment and Coronary Heart Disease) cohort analyses were based on 7131 adults in central Paris and suburbs. Data on sociodemographics, health and weight were obtained from a telephone survey (SOS) and from in-person interviews (RECORD). Both studies collected data on and geocoded home addresses and food shopping locations. Both studies calculated GIS (Geographic Information System) network distances between home and the supermarket that study respondents listed as their primary food source. Supermarkets were further stratified into three categories by price. Modified Poisson regression models were used to test the associations among food environment variables, SES and obesity.

RESULTS

Physical distance to supermarkets was unrelated to obesity risk. By contrast, lower education and incomes, lower surrounding property values and shopping at lower-cost stores were consistently associated with higher obesity risk.

CONCLUSION

Lower SES was linked to higher obesity risk in both Paris and Seattle, despite differences in urban form, the food environments and in the respective systems of health care. Cross-country comparisons can provide new insights into the social determinants of weight and health.

Perceived social position and health: Is there a reciprocal relationship?

Recent work exploring the relationship between socioeconomic status and health has employed a psychosocial concept called perceived social position as a predictor of health. Perceived social position is likely the "cognitive averaging" (Singh-Manoux, Marmot, & Adler, 2005) of socioeconomic characteristics over time and, like other socioeconomic factors, is subject to interplay with health over the life course. Based on the hypothesis that health can also affect perceived social position, in this paper we used structural equation modeling to examine whether perceived social position and three different health outcomes were reciprocally related in the Wisconsin Longitudinal Study, a longitudinal cohort study of older adults in the United States. The relationship between perceived social position and health differed across health outcomes-self-reported health, the Health Utilities Index, and depressive symptoms-as well as across operationalization of perceived social position-compared to the population of the United States, compared to one's community, and a latent variable of which the two items are indicators. We found that perceived social position affected self-reported health when operationalized as latent and US perceived social position, yet there was a reciprocal relationship between self-reported health and community perceived social position. There was a reciprocal relationship between perceived social position and the Health Utilities Index, and depressive symptoms affected perceived social position for all operationalization of perceived social position. The findings suggest that the causal relationship hypothesized in prior studies--that perceived social position affects health--does not necessarily hold in empirical models of reciprocal relationships. Future research should interrogate the relationship between perceived social position and health rather than assume the direction of causality in their relationship.

Early childhood health, reproduction of economic inequalities and the persistence of health and mortality differentials

The persistence of adult health and mortality socioeconomic inequalities and the equally stubborn reproduction of social class inequalities are salient features in modern societies that puzzle researchers in seemingly unconnected research fields. Neither can be satisfactorily explained with standard theoretical frameworks. In the domain of health and mortality, it is unclear if and to what an extent adult health and mortality disparities across socioeconomic status (SES) are the product of attributes of the positions themselves, the partial result of health conditions established earlier in life that influence both adult health and economic success, or the outcome of the reverse impact of health status on SES. In the domain of social stratification, the transmission of inequalities across generations has been remarkably resistant to satisfactory explanations. Although the literature on social stratification is by and large silent about the role played by early health status in shaping adult socioeconomic opportunities, new research on human capital formation suggests this is a serious error of omission. In this paper we propose to investigate the connections between these two domains. We use data from male respondents of the 1958 British Cohort to estimate (a) the influence of early health conditions on adult SES and (b) the contribution of early health status to observed adult health differentials. The model incorporates early conditions as determinants of traits that enhance (inhibit) social mobility and also conventional and unconventional factors that affect adult health and socioeconomic status. Our findings reveal that early childhood health plays a small, but non-trivial role as a determinant of adult SES and the adult socioeconomic gradient in health. These findings enrich current explanations of SES inequalities and of adult health and mortality disparities.

Variability among hospitals and staff in collection of race, ethnicity, birthplace, and socioeconomic information in the greater San Francisco Bay Area

Hospital data on race, ethnicity, birthplace, and socioeconomic status (SES) are important for identifying health disparities; however, little is known about the consistency across and within hospitals in the collection of these data. This study examined hospital practices and policies for the collection of these data and the variability across hospital staff and hospital characteristics. Surveys were mailed to selected hospital staff in all 59 hospitals in the San Francisco Bay Area, and completed questionnaires were received from 141 (of 367) staff from 41 hospitals. While most hospitals collect race/ethnicity (83% always collect) and birthplace (60% always or sometimes collect), few hospitals collect patient information on education (75% never collect) and income (55% never collect). There is vast variability in reported practices and policies across staff within hospitals, and variability across hospitals with regards to certain hospital characteristics. Nationally standardized policies, including standards for where, what, and when these data should be collected, are necessary for accurate and uniform data collection, and for effectively addressing health disparities.

Social determinants of psychological distress in a nationally-representative sample of South African adults

There is substantial evidence from developed countries that lower socioeconomic status (SES) is associated with increased occurrence of mental illness, and growing interest in the role of social support and social capital in mental health. However, there are few data on social determinants of mental health from low- and middle-income nations. We examined the association between psychological distress and SES, social support and bonding social capital in a nationally-representative sample of South African adults. As part of a national survey of mental health, a probability sample of 4,351 individuals was interviewed between 2002 and 2004. Non-specific psychological distress was measured using the Kessler K-10 scale. SES was assessed from an aggregate of household income, individual educational and employment status, and household material and financial resources. Social support, bonding social capital and traumatic life events were measured using multi-item scales. The mean age in the sample was 37 years and 76% of participants were black African. Measures of SES and social capital were inversely associated (p<0.001). Both recent and traumatic life events were more common among individuals with low levels of SES and social support. After adjusting for participant demographic characteristics and life events, high levels of psychological distress were most common among individuals with lower levels of SES and social capital. There was no independent association between levels of social support and psychological distress. The occurrence of recent life events appeared to partially mediate the association between SES and psychological distress (p=0.035) but not the association involving social capital (p=0.40). These data demonstrate persistent associations between levels of SES, social capital and psychological distress in South Africa. The increased frequency of recent life events appears to only partially explain higher levels of psychological distress among individuals of lower SES. Additional research is required to understand the temporality of this association as well as mechanisms through which SES and social capital influence mental health in low- and middle-income settings where high levels of poverty and trauma may contribute to excess burden of mental illness.

Can variation in HIV/STD-related risk be explained by individual SES? Findings from female sex workers in a rural Chinese county

Low socioeconomic status (SES) has been linked to HIV and sexually transmitted disease (STD) at a macro level because the majority of new cases of HIV infection in the world have been reported in underdeveloped or developing countries. However, empirical data on the relationship between individual SES and HIV/STD related risk have been mixed. Employing quantitative data from 454 female sex workers (FSWs), this study was designed to examine the profile of the study sample in terms of their individual SES, HIV/STD-related sexual risk across work locations with different social, cultural, and economic conditions; and to examine the relationship between work location and HIV-related risk behaviors, controlling for individual SES. We have shown in the current study that both SES and HIV/STD-related risk behaviors significantly differed by work location. However, the difference in individual SES was not sufficient to explain the difference of HIV/STD-related risk across the work locations. The findings underscore the need for effective prevention intervention efforts targeting FSWs in rural areas. Based on the findings, we also suggest that HIV/STD intervention efforts among FSWs should take the social and cultural contextual factors of their working environment (and sexual risks) into consideration.

Socio-economic correlates of municipal-level pollution emissions on Montreal Island

BACKGROUND

Differential exposure to environmental hazards is one component of the social gradient in health. Few studies have investigated the association between socioeconomic characteristics and environmental hazards in a Canadian context. We assessed the relationships between pollution emissions and socio-economic characteristics for 27 municipalities on Montreal Island.

METHODS

Pollution emissions were determined using Environment Canada's National Pollutant Release Inventory (NPRI) for the periods 1995-1996 and 2000-2001. Variables included the number of reporting industries, the average annual releases, and the average annual releases density. These data were cross-referenced with socio-economic data from the 1996 and 2001 Canadian Censuses, respectively.

RESULTS

For both periods, pollution measures were inversely related to the average monthly amount of owners' major payments, the average income of households, the proportion of workers in the tertiary sector, and the proportion of individuals with a university education. Pollution measures were positively associated with the unemployment rate, the proportion of workers in the secondary sector, and the proportion of individuals with less than high school education.

CONCLUSION

Socio-economic characteristics are associated with municipal-level pollution emissions on Montreal Island. Whether higher emissions are indicative of higher pollution exposure requires further investigation.