Socioeconomic Inequalities In Health Research Articles

Socioeconomic Status and Students' Mental Health during the COVID-19 University Closure: Mediating Roles of Perceived Social Support and Self-Efficacy.

Despite the need for urgent actions in response to the exacerbated inequalities in mental health resulting from the COVID-19 pandemic, there remains a significant gap in research into the relationships and underlying mechanisms between socioeconomic status (SES) and various mental health outcomes among students during the COVID-19 university closure. With a sample of 839 students from a university in Lanzhou, the capital city of China's Gansu Province, which was closed during the 2022 autumn semester due to the COVID-19 outbreak, this study examined the relationships between SES and both the negative and positive mental health outcomes, with a particular inquiry into the mediating roles of perceived social support and self-efficacy. The results show that SES had significant and negative total associations with psychological distress (β = -0.119, p < 0.001) and loneliness (β = -0.132, p < 0.001), while having significant and positive total associations with life satisfaction (β = 0.90, p < 0.01) and affective well-being (β = 0.108, p < 0.01). Moreover, perceived social support and self-efficacy independently and sequentially mediated the associations between SES and various mental health outcomes. Research implications for the design and improvement of university measures to reduce the socioeconomic inequalities in students' mental health are also discussed.

Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly

ObjectiveWe studied the association between the socioeconomic status (SES), tooth loss, and oral health–related quality of life (OHRQoL) in an adult cohort in western China. As socioeconomic inequalities in oral health are often neglected in oral health promotion. we aimed to verify the impact of SES on tooth loss and OHRQoL. MethodsIn all, 348 participants aged 60 years and older were selected for this study. Relationships amongst SES, tooth loss, and OHRQoL were identified by using a structural equation model (SEM). ResultsIn the final sample, 312 people were included, and the response rate was 89.7%. The bias-corrected 95% confidence intervals of the total, direct, and indirect effects were (−0.267 to 0.475), (−0.489 to 0.185), and (0.088 to 0.450), respectively. The comparative fit index of SEM was 0.943. The model showed that their SES directly affected tooth loss in the elderly population. This indirectly affects their oral health–related quality of life. The numbers of natural teeth and occlusal units (with standardised path coefficients of 0.79 and 0.74, respectively) were found to be the most significant factors relating to tooth loss. ConclusionSES affected the oral health–related quality of life in elderly people through tooth loss in a Chinese study population. Our data suggest that improvements in the social and economic environments are a primary measure that should be implmented to prevent tooth loss and improve the OHRQoL.

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.

Trends in smoking-related diseases by socioeconomic position following a national smoking ban in 2007: a nationwide study in the Danish population

BackgroundNational comprehensive smoke-free legislation has been found to decrease the incidence of several smoking-related diseases. In 2007, Denmark introduced a national smoking ban, which banned smoking indoor in workplaces and public places, although only partial restrictions were applied in certain settings. We examined the impact of the smoking ban on smoking-related diseases and whether this differed across socioeconomic groups.MethodsInterrupted time series analyses of nationwide register data were performed using Poisson regression models to examine the differential impact of the smoking ban on monthly incidence rates of acute myocardial infarction, chronic obstructive pulmonary disease, and smoking-related cancers from 2002 to 2015. Immediate changes in incidence rates after the smoking ban and long-term changes in disease trends were estimated by comparing data from the pre- and post-ban period. Models were stratified by socioeconomic position.ResultsOverall, we found neither immediate changes in rates of acute myocardial infarction, chronic obstructive pulmonary disease, and smoking-related cancers following the smoking ban nor long-term post-ban changes in disease trends as compared to before the ban. Results did not differ across socioeconomic groups. A pronounced socioeconomic gradient in incidence rates was observed for all outcomes both before and after the smoking ban.ConclusionThe national smoking ban was not associated with a lower incidence of smoking-related diseases in the post-ban period compared to pre-ban levels and no differences between socioeconomic groups were observed. Future tobacco control in Denmark should consider which measures most effectively target the low socioeconomic groups to decrease the current strong socioeconomic inequality in health.

Unequally Unequal? Contextual-level status inequality and social cohesion moderating the association between individual-level socioeconomic position and systemic chronic inflammation

BackgroundStatus inequality is hypothesised to increase socioeconomic inequalities in health by creating an environment in which social cohesion erodes and social comparisons intensify. Such an environment may cause systemic chronic inflammation. Although these are often-used explanations in social epidemiology, empirical tests remain rare. MethodsWe analysed data from the West of Scotland Twenty-07 Study. Our sample consisted of 1977 participants in 499 small residential areas. Systemic chronic inflammation was measured by high-sensitivity C-reactive protein (hs-CRP; <10 mg/L). An area-level measurement of status inequality was created using census data and contextual-level social cohesion was measured applying ecometrics. We estimated linear multilevel models with cross-level interactions between socioeconomic position (SEP), status inequality, and social cohesion adjusted for age and gender. Our main analysis on postcode sector-level was re-estimated on three smaller spatial levels. ResultsThe difference in hs-CRP between disadvantaged and advantaged SEPs (0.806 mg/L; p = 0.063; [95%CI: −0.044; 1.656]) was highest among participants living in areas where most residents were in advantaged SEPs. In these status distributions, high social cohesion was associated with a shallower socioeconomic gradient in hs-CRP and low social cohesion was associated with a steeper gradient. In areas with an equal mix of SEPs or most residents in disadvantaged SEPs, the estimated difference in hs-CRP between disadvantaged and advantaged SEPs was −0.039 mg/L (p = 0.898; [95%CI: 0.644; 0.566]) and −0.257 mg/L (p = 0.568; [95%CI: 1.139; 0.625]) respectively. In these status distributions, the gradient in hs-CRP appeared steeper when social cohesion was high and potentially reversed when social cohesion was low. Results were broadly consistent when using area-levels smaller than postcode sectors. ConclusionsInequalities in hs-CRP were greatest among participants living in areas wherein a majority of residents were in advantaged SEPs and social cohesion was low. In other combinations of these contextual characteristics, inequalities in systemic chronic inflammation were not detectable or potentially even reversed.

Development of Body Dissatisfaction in Women and Men at Different Educational Levels During the Life Course

BackgroundOur study examines the rarely investigated associations between body dissatisfaction and educational level over the life course in women and men.MethodsA Finnish cohort (N = 1955) was followed by questionnaires at ages 22, 32, 42, and 52. Body dissatisfaction was measured by asking the respondents to evaluate their appearance using five response options. Analyses were done using logistic regression, while latent class analyses were used to identify classes of body dissatisfaction trajectories over the life course.ResultsBody dissatisfaction increased with age in women and men. Among men, body dissatisfaction was related to lower education at the ages of 32 and 42. Also, men with lower education were more likely to maintain a less positive body image over the life course. In women, increasing body dissatisfaction during the life course was associated with lower education.ConclusionsDifferences in body dissatisfaction based on educational level are important to take into account in public health actions aiming to reduce socioeconomic inequalities in health and well-being.

Socioeconomic inequalities in reproductive, maternal, newborn and child health in Guyana: a time trends analysis

Background Guyana is among the countries committed to achieving the sustainable development goals. This research assessed the patterns of change in reproductive, maternal, newborn, and child health (RMNCH) in Guyana. Methods Four nationally representative surveys conducted from 2009 to 2019 were assessed. Temporal trends in RMNCH indicators were assessed at the national level, by place of residence, and by wealth index. The slope index and concentration index of inequality were calculated to assess trends in inequalities over time. The average absolute annual change (AAAC) of the indicators was calculated using a weighted variance regression. Results From 2006 to 2019, we observed an increase in the coverage of institutional delivery (from 82.6% to 97.7%), and exclusive breastfeeding (from 21.4% to 31.0%), among others. Likewise, antenatal care with four or more visits increased from 77.4% in 2009 to 84.7% in 2019. The opposite was observed for coverage of current contraceptive use (modern methods) (from 32.7% to 28.2%), family planning needed satisfied (from 49.6% to 43.8%), tetanus toxoid in pregnancy (from 31.7% to 8.2%) and full vaccination coverage (from 82.0% to 63.4%). Under-five stunting prevalence decreased from 18.0% to 9.2% and the under-five mortality rate from 40.4 to 29.3 per 1,000 live births. The gap between the poorest and richest women tended to decrease for seven out of the 16 intervention indicators, as well as for under-five stunting prevalence and under-five mortality rate. Institutional delivery was the best performer in increasing coverage and decreasing inequality over time, while immunization with measles was the worst performer. Conclusions Guyana has made great progress in improving its RMNCH indicators. However, the observed decline in the coverage of several RMNCH indicators can be seen as a warning sign to redouble efforts to achieve sustainable development goals, SDGs 1 and 2, by 2030 and to reduce inequalities by lagging no one behind.

Diagnosis and Management of Cardiovascular Risk in Individuals With Spinal Cord Injury: A Narrative Review.

More than 16 000 Americans experience spinal cord injury (SCI), resulting in chronic disability and other secondary sequelae, each year. Improvements in acute medical management have increased life expectancy. Cardiovascular disease is a leading cause of death in this population, and seems to occur earlier in individuals with SCI compared with the general population. People with SCI experience a high burden of traditional cardiovascular disease risk factors, including dyslipidemia and diabetes, and demonstrate anatomic, metabolic, and physiologic changes alongside stark reductions in physical activity after injury. They also experience multiple, complex barriers to care relating to disability and, in many cases, compounding effects of intersecting racial and socioeconomic health inequities. Given this combination of risk factors, some investigators have proposed that people with SCI are at increased risk for cardiovascular disease, beyond that associated with traditional risk factors, and SCI could be considered a risk-enhancing factor, analogous to other risk-enhancing factors defined by the 2019 American Heart Association/American College of Cardiology Primary Prevention Guidelines. However, more research is needed in this population to clarify the role of traditional risk factors, novel risk factors, health care access, social determinants of health, and intersectionality of disability, race, and socioeconomic status. There is an urgent need for primary care physicians and cardiologists to have awareness of the importance of timely diagnosis and management of cardiac risk factors for people with SCI.

Using Relative and Absolute Measures for Socioeconomic Inequalities in Health: Experiences from a Retrospective Cohort Study on COVID-19.

One approach to reducing the burden of diseases can be to identify socioeconomically vulnerable groups. We aimed to estimate the socioeconomic inequality of in-hospital deaths using relative and absolute indices of socioeconomic inequality. In this retrospective cohort study on Covid-19 patients; age, gender, marital status, education level, date of admission, diagnostic method, and final condition were measured. Socioeconomic inequality in inhospital death was assessed using three approaches. We used the relative index of inequality (RII) to measure relative inequality. We used two approaches to evaluate absolute inequality: the slope index of inequality (SII) and the concentration index (ci). Overall, 587 patients' data were collected and 42 (7.2%) of these patients died in the hospital. There were statistically significant differences between the case-fatality rates of different levels of education (P<0.001). In addition, all the inequality indices showed that the distribution of COVID-19-related deaths was higher among the lower education levels. Accordingly, after controlling the effect of age, gender, and comorbidities the RII indicated that the case fatality rate in the lowest education level was 9.42 (95% CI: 2.23 to 39.01, P<0.001) times compared to the case fatality rate in the highest level of education. The results of all three approaches indicate considerable education inequality in CFR in favor of groups of high education levels. These results can improve the prioritization and impact of public health interventions, including prevention and diagnosis of Covid-19 in favor of vulnerable groups.

The implications of socioeconomic factors on salivary bioscience methodological variables in a large pediatric multi-site study.

Salivary bioscience has found increased utilization within pediatric research, given the non-invasive nature of self-collecting saliva for measuring biological markers. With this growth in pediatric utility, more understanding is needed of how social-contextual factors, such as socioeconomic factors or status (SES), influence salivary bioscience in large multi-site studies. Socioeconomic factors have been shown to influence non-salivary analyte levels across childhood and adolescent development. However, less is understood about relationships between these socioeconomic factors and salivary collection methodological variables (e.g., time of saliva collection from waking, time of day of saliva collection, physical activity prior to saliva collection, and caffeine intake prior to saliva collection). Variability in salivary methodological variables between participants may impact the levels of analytes measured in a salivary sample, thus serving as a potential mechanism for non-random systematic biases in analytes. Our objective is to examine relationships between socioeconomic factors and salivary bioscience methodological variables within the Adolescent Brain Cognitive Development Study© cohort of children aged 9-10 years old (n = 10,567 participants with saliva samples). We observed significant associations between household socioeconomic factors (poverty status, education) and salivary collection methodological variables (time since waking, time of day of sampling, physical activity, and caffeine intake). Moreover, lower levels of household poverty and education were significantly associated with more sources of potential bias in salivary collection methodological variables (e.g., longer times since waking, collections later in the day, higher odds of caffeine consumption, and lower odds of physical activity). Consistent associations were not observed with neighborhood socioeconomic factors and salivary methodological variables. Previous literature demonstrates associations between collection methodological variables and measurements of salivary analyte levels, particularly with analytes that are more sensitive to circadian rhythms, pH levels, or rigorous physical activity. Our novel findings suggest that unintended distortions in measured salivary analyte values, potentially resulting from the non-random systematic biases in salivary methodology, need to be intentionally incorporated into analyses and interpretation of results. This is particularly salient for future studies interested in examining underlying mechanisms of childhood socioeconomic health inequities in future analyses.

Reducing socioeconomic health inequalities? A questionnaire study of majorization and invariance conditions

We study the appeal of basic preference conditions that underpin health inequality indices, including the widely used concentration index. We did a lab experiment in which 349 respondents had to choose repeatedly between two policies that generated a distribution of income and health among five groups in society. We found stronger support for preference conditions that focus on inequality in the marginal distribution of health (and income) than for preference conditions that favor reduced correlation between both dimensions. Respondents’ choices were more in line with the principle of income related health transfers when policies did not affect the ranking of groups in terms of health. Respondents also expressed more concern about the correlation between income and health when health was expressed as a shortfall rather than an attainment. Support for the preference conditions was unaffected when all groups in society experienced the same absolute or relative health change.

The impact of the COVID-19 pandemic on inequalities in preventive health screenings: Trends and implications for U.S. population health

The COVID-19 pandemic has profoundly impacted population well-being in the United States, exacerbating existing racial and socioeconomic inequalities in health and mortality. Importantly, as the pandemic disrupted the provision of vital preventive health screenings for cardiometabolic diseases and cancers, more research is needed to understand whether this disruption had an unequal impact across racialized and socioeconomic lines. We draw on the 2019 and 2021 National Health Interview Survey to explore whether the COVID-19 pandemic contributed to racialized and schooling inequalities in the reception of preventive screenings for cardiometabolic diseases and cancers. We find striking evidence that Asian Americans, and to a lesser extent Hispanic and Black Americans, reported decreased reception of many types of cardiometabolic and cancer screenings in 2021 relative to 2019. Moreover, we find that across schooling groups, those with a bachelor's degree or higher experienced the greatest decline in screening reception for most cardiometabolic diseases and cancers, and those with less than a high school degree experienced the greatest decline in screening reception for diabetes. Findings have important implications for health inequalities and U.S. population health in the coming decades. Research and health policy attention should be directed toward ensuring that preventive health care is a key priority for public health, particularly among socially marginalized groups who may be at increased risk of delayed diagnosis for screenable diseases.

Does the immediate reimbursement of medical insurance reduce the socioeconomic inequality in health among the floating population? Evidence from China

BackgroundEnhancing health intervention for floating populations has become an essential aspect of public health around the world. China launched a policy reform aimed at implementing immediate reimbursement for trans-provincial inpatient treatments. The objective of this study was to investigate the effects of this policy change on socioeconomic inequality in health among the floating population.MethodsThis study used two waves of individual-level data from the China Migrants Dynamic Survey (CMDS) collected in 2017 and 2018 as well as administrative hospital data at the city level. The sample included 122061 individuals and 262 cities. Under a quasi-experimental research design, we built up the framework to employ the generalized and multi-period difference-in-differences estimation strategy. We used the number of qualified hospitals that could provide immediate reimbursement to represent the degree and intensity of the implementation of this policy change. We also calculated the Wagstaff Index (WI) to measure socioeconomic inequality in health.ResultsThis policy change and income level had a negative joint impact on the health status of floating population (odds ratio = 0.955, P < 0.01), that is, the lower the income, the better the number of qualified hospitals' effect on health improvement. Furthermore, as the number of qualified tertiary hospitals increased, the health inequality would decrease significantly on average at the city level (P < 0.05). In addition, inpatient utilization as well as total expenditure and reimbursement significantly improved after the policy change, and the magnitude of increase was greater in the relatively lower-income group (P < 0.01). Finally, only inpatient spending could obtain immediate reimbursement in the early stage, thus, compared with primary care, these impacts were greater in tertiary care.ConclusionsOur study revealed that after the implementation of immediate reimbursement, the floating population could obtain greater and more timely reimbursement, which significantly increased its inpatient utilization, promoted health, and reduced the health inequality caused by socioeconomic factors. These results suggest that a more accessible and friendly medical insurance scheme should be promoted for this group.

Mechanisms and contextual factors related to key elements of a successful integrated community-based approach aimed at reducing socioeconomic health inequalities in the Netherlands: A realist evaluation perspective.

Reducing health inequalities is a challenge for policymakers and civil society. A multisectoral and multilevel approach is most promising to reduce those inequalities. Previous research showed what key elements of Zwolle Healthy City, an integrated community-based approach aimed at reducing socioeconomic health inequalities, are. To fully understand approaches that are complex and context dependent, questions as 'how does the intervention work' and 'in what context does it work' are just as important as 'what works'. The current study aimed to identify mechanisms and contextual factors associated with the key elements of Zwolle Healthy City, using a realist evaluation perspective. Transcripts of semi-structured interviews with a wide range of local professionals were used (n = 29). Following realist evaluation logic in the analysis of this primary data, context-mechanism-outcome configurations were identified and thereafter discussed with experts (n = 5). How mechanisms (M) in certain contexts (C) were of influence on the key elements (O) of the Zwolle Healthy City approach are described. For example, how, in the context of the responsible aldermen embracing the approach (C), regular meetings with the aldermen (M) increased support for the approach among involved professionals (O). Or, how, in the context of available financial resources (C), assigning a program manager (M) contributed positively to coordination and communication (O). All 36 context-mechanism-outcome configurations can be found in the repository. This study showed what mechanisms and contextual factors are associated with the key elements of Zwolle Healthy City. By applying realist evaluation logic in the analysis of primary qualitative data we were able to disentangle the complexity of processes of this whole system approach and show this complexity in a structured manner. Also, by describing the context in which the Zwolle Healthy City approach is implemented, we contribute to the transferability of this approach across different contexts.

Challenges to Global Health Emerging from the COVID-19 Pandemic

The COVID-19 pandemic deepened challenges and opened new fronts where old and unresolved problems met with new problems triggered by the pandemic itself. There are several issues, problems, and challenges related to the post-COVID world we are in. This paper discusses some of them from different perspectives and elaborates on the future challenges and their solutions, which need to be tackled. Apart from the pre-existing problems, we are now also facing new military conflicts, interrupted supply chains, even in medicines supplies, as well as the worsening of climate change, further complicated by the military conflicts and a potential new global economic crisis. The COVID-19 pandemic left the world with many uncertainties about the future as there seem to be few answers ready to tackle the combination of the fallout of the COVID-19 pandemic coupled with the pre-existing problems and challenges. Inequalities in terms of socio-economic differences and inequalities in health are driving disease burden, which will again be marked by the population aging and non-communicable diseases (NCDs). Global collaboration and the joint search for solutions to global challenges have become inevitable. Research into behavioral determinants of health and health promotion are essential in understanding the sources of controversy regarding and resistance to proven public health interventions.

Estimation of socioeconomic inequalities in mortality in Japan using national census-linked longitudinal mortality data.

We aimed to develop census-linked longitudinal mortality data for Japan and assess its validity as a new resource for estimating socioeconomic inequalities in health. Using deterministic linkage, we identified, from national censuses for 2000 and 2010 and national death records, persons and deceased persons who had unique personal identifiers (generated using sex, birth year/month, address, and marital status). For the period 2010-2015, 1 537 337 Japanese men and women aged 30-79 years (1.9% in national census) were extracted to represent the sample population. This population was weighted to adjust for confounding factors. We estimated age-standardized mortality rates (ASMRs) by education level and occupational class. The slope index of inequality (SII) and relative index inequality (RII) by educational level were calculated as inequality measures. The reweighted sample population's mortality rates were somewhat higher than those of the complete registry, especially in younger age-groups and for external causes. All-cause ASMRs (per 100 000 person-years) for individuals aged 40-79 years with high, middle, and low education levels were 1078 (95% confidence interval: 1051-1105), 1299 (1279-1320), and 1670 (1634-1707) for men, and 561 (536-587), 601 (589-613), and 777 (745-808) for women, respectively, during 2010-2015. SII and RII by educational level increased among both sexes between 2000-2005 and 2010-2015, which indicates mortality inequalities increased. The developed census-linked longitudinal mortality data provide new estimates of socioeconomic inequalities in Japan that can be triangulated with estimates obtained with other methods.

Identifying a Human Rights Approach to Roma Health Vulnerabilities and Inequalities in Europe: From Concept to Action.

Roma communities across Europe still remain a neglected population group by way of the social and economic disadvantage that largely characterizes their lives. Roma communities continue to experience structural socioeconomic health inequalities on the grounds of their ethnic origin, alarmingly unveiling a pattern of systematic discrimination and ethnic marginalization. Without any doubt, such a highly worrying situation calls for States to incorporate Roma health rights within their law and policy agendas in a manner consistent with right to health requirements. Against this background, this paper seeks to identify an operational human rights framework for States as a driver for better informed policies and implementation as well as for Roma engagement in the deliberations about their life prospects. The paper argues that continuing, concerted, and proactive State engagement is required for effectively addressing the structural obstacles impeding Roma socioeconomic health rights realization and maximizing Roma opportunities for well-being.

Neighborhood socioeconomic status and cardiometabolic risk: mediating roles of domain-specific physical activities and sedentary behaviors

PurposeWe examined the potential mediating roles of domain-specific physical activities and sedentary behaviors in the relationship between area-level socioeconomic status (SES) and cardiometabolic risk. MethodsData were from the 2011/2012 Australian Diabetes, Obesity and Lifestyle study (n = 3431). The outcome was a clustered cardiometabolic risk (CCR) score, and the exposure was suburb-level SES. Potential mediators were domain-specific physical activities and sedentary behaviors. Multilevel linear regression models examined associations between SES and potential mediators (α) and between mediators and CCR (β). Mediation was assessed using the joint-significance test. ResultsHigher SES was associated with a lower CCR score. Lower SES was associated with less frequent walking for transport, lower vigorous-intensity recreational physical activity, and higher TV time, which were associated with higher CCR scores. However, higher SES was associated with longer transport-related sitting time (all modes and in cars), which were associated with higher CCR scores. ConclusionsThe SES-cardiometabolic risk relationship may be partially explained by walking for transport, vigorous-intensity recreational physical activity, and TV viewing. These findings, which require corroboration from prospective evidence and clarification of the roles of transport-related sitting and occupational physical activity, can inform initiatives addressing socioeconomic inequalities in cardiometabolic health.

Environmental pollution and socioeconomic health inequality: Evidence from China

Recent work on socioeconomic health inequality has explored the possible determinants, but there is a lack of empirical evidence examining the associations between environmental pollution and socioeconomic health inequality. Most of studies employed the one-dimensional decomposition method, focusing on health but ignoring rank, to analyze the factors of health inequality. Hence, we fill this gap by using nationally representative individual-level data, employing the recentered influence function regressions method (a two-dimensional decomposition method), and estimating the marginal effect of environmental pollution on socioeconomic inequality in three health outcomes in China straightforward: physical discomfort, chronic disease, and self-rated health. Findings show that environmental pollution increases the income related health inequality of people, and the effect is larger for the middle-aged. The evidence of the possible channel through which environmental pollution is correlated with socioeconomic health inequality is also provided. In the face of environmental pollution, the rich pay more attention to their health condition and increase beneficial health behaviors, such as increasing sleeping hours, decreasing smoking, or having a more balanced diet, compared with the poor. It partly explains why environmental pollution widens the income related health inequality. These findings imply that reducing environmental pollution is an effective strategy for improving environmental quality and narrowing the income related health inequality.

Is socioeconomic inequality in antenatal care coverage widening or reducing between- and within-socioeconomic groups? A case of 19 countries in sub-Saharan Africa

Maternal health statistics have improved in many countries in sub-Saharan Africa (SSA). Still, progress remains slow in meeting the Sustainable Development Goals (SDG) targets. Accelerating antenatal care (ANC) coverage is critical to improving maternal health outcomes. To progress, countries should understand whether to target reducing health disparities between- or within-socioeconomic groups, as policies for achieving these may differ. This paper develops a framework for decomposing changes in socioeconomic inequalities in health into changes in between- and within-socioeconomic groups using the concentration index, a popular measure for assessing socioeconomic inequalities in health. It begins by noting the challenge in decomposing the concentration index into only between- and within-group components due to the possibility of an overlap created by overlapping distributions of socioeconomic status between groups. Using quantiles of socioeconomic status provides a convenient way to decompose the concentration index so that the overlap component disappears. In characterising the decomposition, a pro-poor shift occurs when socioeconomic inequality is reduced over time, including between- and within-socioeconomic groups, while a pro-rich shift or change occurs conversely. The framework is applied to data from two rounds of the Demographic and Health Survey of 19 countries in SSA conducted about ten years apart in each country. It assessed changes in socioeconomic inequalities in an indicator of at least four antenatal care visits (ANC4+) and the count of ANC visits (ANC intensity). The results show that many countries in SSA witnessed significant pro-poor shifts or reductions in socioeconomic inequalities in ANC coverage because pro-rich inequalities in ANC4+ and ANC intensity become less pro-rich. Changes in between-socioeconomic group inequalities drive the changes in ANC service coverage inequalities in all countries. Thus, policies addressing inequalities between-socioeconomic groups are vital to reducing overall disparities and closing the gap between the rich and the poor, a crucial objective for the SDGs.