The impact of socioeconomic inequality on access to health care for patients with advanced cancer: A qualitative study.

Objective: In Canada, populations experiencing socioeconomic inequality have lower rates of access to screening and diagnosis and higher mortality rates than people from higher-income areas. Limited evidence exists concerning their experiences when living with advanced cancer. We explored how socioeconomic inequality shapes the experiences of patients with advanced cancer. Methods: We utilized a qualitative study design that combined tenets of hermeneutic phenomenological inquiry and critical theory. Four individuals with advanced cancer from low-income neighborhoods, three family members, and six cancer care providers were accrued through a tertiary cancer center in a western Canadian city. One-on-one interviews and brief notes were used for data collection. Data were analyzed through thematic analysis. Results: Three interrelated themes were identified: 'Lack of access to socioeconomic supports,' 'Gaps in access to health care resources and services,' and 'Limited access to symptom relief.' Patients experienced inadequate finances, housing, and transportation. Most patients lived alone and had limited family and social support. Patients reported lack of knowledge of available resources and health system navigation issues, including communication problems with providers and among levels of care. Cancer care providers and patients described issues achieving symptom relief as well as challenges associated with extensive disease. Conclusions: Study findings suggest that socioeconomic inequality interferes with the ability of persons with advanced cancer to access health care and contributes to less optimal cancer outcomes. Socioeconomic inequality may increase symptom severity. Findings call for the development of tailored interventions for populations with advanced cancer and socioeconomic inequality.

Decomposing socioeconomic inequality in household out of pocket health expenditures in Pakistan (2010-11-2018-19).

BACKGROUND: The increased socioeconomic inequality in catastrophic health expenditure (CHE) disproportionately affects disadvantaged populations, subjecting them to financial hardships, limiting their access to healthcare, and exacerbating their vulnerability to morbidity. OBJECTIVES: This study examines changes in socioeconomic inequality related to CHE and analyzes the contributing factors responsible for these changes in Pakistan between 2010-11 and 2018-19. METHODS: This paper extracted the data on out-of-pocket health expenditures from the National Health Accounts for 2009-10 and 2017-18. Sociodemographic information was gathered from the Household Integrated Economic Surveys of 2010-11 and 2018-19. CHE was calculated using budget share and the ability-to-pay approaches. To assess socioeconomic inequality in CHE in 2010-11 and 2018-19, both generalized and standard concentration indices were used, and Wagstaff inequality decomposition analysis was employed to explore the causes of socioeconomic inequality in each year. Further, an Oaxaca-type decomposition was applied to assess changes in socioeconomic inequality in CHE over time. RESULTS: The concentration index reveals that socioeconomic inequality in CHE decreased in 2018-19 compared to 2010-11 in Pakistan. Despite the reduction in inequality, CHE was concentrated among the poor in Pakistan in 2010-11 and 2018-19. The inequality decomposition analysis revealed that wealth status was the main cause of inequality in CHE over time. The upper wealth quantiles indicated a positive contribution, whereas lower quantiles showed a negative contribution to inequality in CHE. Furthermore, urban residence contributed to pro-rich inequality, whereas employed household heads, private healthcare provider, and inpatient healthcare utilization contributed to pro-poor inequality. A noticeable decline in socioeconomic inequality in CHE was observed between 2010 and 2018. However, inequality remained predominantly concentrated among the lower socio-economic strata. CONCLUSION: These results underscore the need to improve the outreach of subsidized healthcare and expand social safety nets.

Socioeconomic Disparities in Healthcare Access and Implications for All-Cause Mortality among US Adults: A 2000-2019 Record Linkage Study.

The United States (US) has witnessed a notable increase in socioeconomic disparities in all-cause mortality since 2000. While this period is marked by significant macroeconomic and health policy changes, the specific drivers of these mortality trends remain poorly understood. In this study, we assessed healthcare access variables and their association with socioeconomic status (SES)-related differences (exposure) in US all-cause mortality (outcome), since 2000. Our research drew upon cross-sectional data from the National Health Interview Survey (NHIS, 2000-2018), linked to death records from the National Death Index (NDI, 2000-2019) (n=486,257). The findings reveal that the odds of a lack of health insurance and unaffordability of needed medical care were over two-fold higher among individuals with lower education, compared to those with high education, following differential time trends. Moreover, elevated mortality risk was associated with lower education (up to 77%), uninsurance (17%), unaffordability (43%), and delayed care (12%). Uninsurance and unaffordability accounted for 4-6% of the disparities in time to mortality between low- and high-education groups. These findings were corroborated by income-based sensitivity analyses, emphasizing that inadequate healthcare access partially contributed to socioeconomic disparities in mortality. Effective policies promoting equitable healthcare access are imperative to mitigate socioeconomic disparities in mortality.

Measuring socioeconomic inequalities in postnatal health checks for newborns in Ethiopia: a decomposition analysis.

Background: Addressing health inequity is a top priority for achieving sustainable development goals. The existing evidences in Ethiopia have shown that there are substantial inequalities in the use of health services among various socioeconomic strata. Therefore, the present study aimed to measure socioeconomic inequalities and the contributing factors in postnatal health checks for newborns in Ethiopia. Methods: We used a secondary data from the recent 2019 Ethiopia Mini Demographic and Health Survey dataset. The study includes a weighted sample of 2,105 women who gave birth in the 2 years preceding to the survey. The study participants were selected using two stage cluster sampling techniques. The socioeconomic inequality in postnatal health checks for newborns was measured using the Erreygers Normalized Concentration Index (ECI) and illustrated by the concentration curve. A decomposition analysis was done to identify factors contributing to the socioeconomic related inequality in postnatal health checks for newborns in Ethiopia. Results: The concentration curve of postnatal health checks for newborns lay below the line of equality, and the Erreygers normalized concentration index was 0.133, with a standard error = 0.0333, and a p value <0.001; indicating that the postnatal health check for newborns was disproportionately concentrated among newborns with higher socioeconomic status. The decomposition analysis reported that antenatal care (ANC) visit (59.22%), household wealth index (34.43%), and educational level of the mother (8.58%) were the major contributors to the pro-rich socioeconomic inequalities in postnatal health checks for newborns. Conclusion: The finding revealed that there is a pro-rich inequality in postnatal health checks for newborns in Ethiopia. To reduce the observed socioeconomic health inequality, the government needs to improve ANC visits, implement strategies to access health service for economically disadvantaged groups, and increase educational attainment among women.

Socioeconomic Status Correlates With Initial Patient-Reported Outcomes Measurement Information System-Pain Interference (PROMIS-PI) Scores but Not the Likelihood of Spine Surgery.

Objective To explore how socioeconomic status and patient characteristics may be associated with initial self-reports of pain and determine if there was an increased association with undergoing spine surgery. Methods Patients at an academic center between 2015 and 2021 who completed the Patient-Reported Outcomes Measurement Information System-Pain Interference (PROMIS-PI) questionnaire were included. Multivariable linear regression models were used to determine the association between insurance type and patient factors with initial reports of pain. Multivariable logistic regression models were used to determine the association between PI and the likelihood of surgery in two time periods, three and 12 months. Results The study included 9,587 patients. The mean PROMIS-PI scores were 61.93 (SD 7.82) and 63.74 (SD 6.93) in the cervical and lumbar cohorts, respectively. Medicaid and Workers' Compensation insurance patients reported higher pain scores compared to those with private insurance: Medicaid (cervical: 2.77, CI (1.76-3.79), p<0.001; lumbar (2.05, CI (1.52-2.59), p<0.001); Workers' Compensation (cervical: 2.12, CI (0.96-3.27), p<0.001; lumbar: 1.51, CI (0.79-2.23), p<0.001). Black patients reported higher pain compared to White patients (cervical: 1.50, CI (0.44-2.55), p=0.01; lumbar: 1.51, CI (0.94-2.08), p<0.001). Higher PROMIS-PI scores were associated with a higher likelihood of surgery. There was no increased association of likelihood of surgery in Black, Medicaid, or Workers' Compensation patients when controlling for pain severity. Conclusion Black patients and patients with Medicaid and Workers' compensation insurance were likely to report higher pain scores. Higher initial pain scores were associated with an increased likelihood of surgery. However, despite increased pain scores, Black patients and those with Medicaid and Workers' Compensation insurance did not have a higher likelihood of undergoing surgery.

The Uncontrollable Mortality Risk Hypothesis: Theoretical foundations and implications for public health.

The 'Uncontrollable Mortality Risk Hypothesis' employs a behavioural ecological model of human health behaviours to explain the presence of social gradients in health. It states that those who are more likely to die due to factors beyond their control should be less motivated to invest in preventative health behaviours. We outline the theoretical assumptions of the hypothesis and stress the importance of incorporating evolutionary perspectives into public health. We explain how measuring perceived uncontrollable mortality risk can contribute towards understanding socioeconomic disparities in preventative health behaviours. We emphasize the importance of addressing structural inequalities in risk exposure, and argue that public health interventions should consider the relationship between overall levels of mortality risk and health behaviours across domains. We suggest that measuring perceptions of uncontrollable mortality risk can capture the unanticipated health benefits of structural risk interventions, as well as help to assess the appropriateness of different intervention approaches.

[Subjective health in the early phase of the COVID-19 pandemic-a comparison of socio-demographic groups and pandemic-related risk factors]. / Subjektive Gesundheit in der Frühphase der COVID-19-Pandemie ­ ein Vergleich von soziodemografischen Gruppen und pandemiebezogenen Risikofaktoren.

BACKGROUND: In the early stages of the COVID-19 pandemic in 2020, daily life was significantly restricted due to the containment measures of the initial lockdown while SARS-CoV­2 incidences remained relatively low. This study analyses socio-demographic and socio-economic groups in terms of changes in their subjective health during this phase. METHODS: Data from the Socio-Economic Panel (n = 14,856, March-July 2020) were used to estimate the relative frequency of self-reported good health, great worries about one's own health, and high life satisfaction of men and women stratified by age, education, income, migration history, pre-existing medical conditions, and high-risk occupation. The results were mutually adjusted using logistic regression, displayed on a monthly basis, and compared with the pre-pandemic period. RESULTS: Individuals of higher age, with lower education or income, and with pre-existing medical conditions reported positive health outcomes less frequently and worries more often. The differences between the subgroups remained largely stable compared to the pre-pandemic period. During the period of strongest restrictions due to infection-control measures, good health was reported less frequently by individuals with lower education or income compared to individuals with higher education or income. DISCUSSION: The impact of the early phase of the pandemic on subjective health and life satisfaction was low for the majority of the examined groups. Relative impairments were only identified for women in low socio-economic positions.

Assessing interstate racial and socioeconomic disparities in newborn screening policies in the United States.

Introduction: This paper explores racial and socioeconomic disparities in newborn screening (NBS) policies across the United States. While inter-state inequality in healthcare policies is often considered a meaningful source of systemic inequity in healthcare outcomes, to the best of our knowledge, no research has explored racial and socioeconomic disparities in newborn screening policies based on state of residence. Methods: We investigate these disparities by calculating weighted average exposure to specific NBS tests by racial and socioeconomic group. We additionally estimate count models of the number (and type) of NBS conditions screened for by state racial and socioeconomic composition. Results: Adding to the knowledge base that social determinants of health and health disparities are linked, our analysis surprisingly reveals little evidence of substantial inter-state inequity in newborn screenings along racial and socioeconomic lines. Discussion: While there is substantial nationwide racial and socioeconomic inequity in terms of infant health, the distribution of state-level policies does not appear to be structured in a manner to be a driver of these disparities. Our findings suggest that efforts to reduce inequities in outcomes related to NBS should shift focus toward the delivery of screening results and follow-up care as discussion builds on expanding NBS to include more conditions and genomic testing.

Earth at risk: An urgent call to end the age of destruction and forge a just and sustainable future.

Human development has ushered in an era of converging crises: climate change, ecological destruction, disease, pollution, and socioeconomic inequality. This review synthesizes the breadth of these interwoven emergencies and underscores the urgent need for comprehensive, integrated action. Propelled by imperialism, extractive capitalism, and a surging population, we are speeding past Earth's material limits, destroying critical ecosystems, and triggering irreversible changes in biophysical systems that underpin the Holocene climatic stability which fostered human civilization. The consequences of these actions are disproportionately borne by vulnerable populations, further entrenching global inequities. Marine and terrestrial biomes face critical tipping points, while escalating challenges to food and water access foreshadow a bleak outlook for global security. Against this backdrop of Earth at risk, we call for a global response centered on urgent decarbonization, fostering reciprocity with nature, and implementing regenerative practices in natural resource management. We call for the elimination of detrimental subsidies, promotion of equitable human development, and transformative financial support for lower income nations. A critical paradigm shift must occur that replaces exploitative, wealth-oriented capitalism with an economic model that prioritizes sustainability, resilience, and justice. We advocate a global cultural shift that elevates kinship with nature and communal well-being, underpinned by the recognition of Earth's finite resources and the interconnectedness of its inhabitants. The imperative is clear: to navigate away from this precipice, we must collectively harness political will, economic resources, and societal values to steer toward a future where human progress does not come at the cost of ecological integrity and social equity.

Socioeconomic inequalities in psychosocial well-being among adolescents under the COVID-19 pandemic: a cross-regional comparative analysis in Hong Kong, mainland China, and the Netherlands.

BACKGROUND: Despite evidence on socioeconomic inequalities in psychosocial well-being of adolescents under the COVID-19 pandemic, the explanatory factors and their potential variations across contexts remained understudied. Hence, this cross-regional study compared the extent of inequalities and the mediating pathways across Hong Kong, Mainland China, and the Netherlands. METHODS: Between July 2021 and January 2022, 25 secondary schools from diverse socioeconomic background were purposively sampled from Hong Kong, Zhejiang (Mainland China), and Limburg (the Netherlands). 3595 junior students completed an online survey during class about their socioeconomic position, psychosocial factors, and well-being. Socioeconomic inequalities were assessed by multiple linear regressions using the Slope Index of Inequality (SII), whereas the mediating pathways through learning difficulty, overall worry about COVID-19, impact on family' financial status, resilience, trust in government regarding pandemic management, and adaptation to social distancing were examined by mediation analyses moderated by regions. RESULTS: The adverse psychosocial impact of COVID-19 was stronger in the Netherlands and Hong Kong compared with Mainland China. The greatest extent of socioeconomic inequalities in the change in psychosocial well-being was observed among students in the Netherlands (SII = 0.59 [95% CI = 0.38-0.80]), followed by Hong Kong (SII = 0.37 [0.21-0.52]) and Mainland China (SII = 0.12 [0.00-0.23]). Learning difficulty and resilience were the major mediators in Mainland China and Hong Kong, but to a lesser extent in the Netherlands. CONCLUSION: Socioeconomic inequalities in psychosocial well-being were evident among adolescents under the pandemic, with learning difficulty and resilience of students as the key mediators. Differences in the social contexts should be considered to better understand the variations in inequalities and mediating pathways across regions.

Exploring socioeconomic inequality in caries experience in an adult Norwegian population; the HUNT4 Oral Health Study.

OBJECTIVES: To investigate socioeconomic inequality in caries experience in an adult Norwegian population. METHODS: This population-based study included 4549 dentate participants aged 25-94 years from the cross-sectional HUNT4 Oral Health Study conducted in Central Norway in 2017-2019. Participants were randomly sampled from the larger HUNT4 Survey and answered questionnaires and underwent clinical and radiographic examinations. Caries experience was measured as numbers of decayed, missing and filled teeth (DMFT index) and socioeconomic position was denoted by education and household income. Negative binomial regression models were used to estimate associations between caries experience and socioeconomic position. RESULTS: Lower levels of both education and income were associated with higher caries experience, particularly pronounced for missing teeth. Socioeconomic gradients were observed for all outcomes DMFT, DT, MT and FT (p-value linear trends <.001). Gradients were similar for both income and education and were apparent for all age groups but were most evident in middle-aged and older individuals. High level of education was associated with a 50% lower mean number of missing teeth compared with basic level education, whereas high income was associated with a 24% lower mean number of decayed teeth and a 15% higher mean number of filled teeth than low income. CONCLUSIONS: There was a socioeconomic gradient for caries experience in the study population that was present from early adulthood and increased with age. The gradient was particularly pronounced for missing teeth. Findings indicate that inequality was more associated with treatment given than with untreated disease.

Socioeconomic inequalities in healthcare system efficiency in Japan during COVID-19 pandemic: an analysis of the moderating role of vaccination.

Background: In the context of the COVID-19 pandemic, limited research has focused on socioeconomic disparities in Local Healthcare System Efficiency (LHSE) among Japanese prefectures. This study seeks to investigate the moderating impact of vaccination on the relationship between LHSE and socioeconomic characteristics and endowments. Methods: To explore these relationships, we first utilized the Data Envelopment Analysis with Slack-Based Measure to measure the LHSE, based on data from Japanese prefectures during waves 2 to 5 of the pandemic. Then estimating the impact of socioeconomic variables on LHSE. Finally, we assessed the changes in the way socioeconomic variables affect LHSE before and after vaccine deployment using the Seemingly Unrelated Estimation t-test methodology. Results: The research findings suggest an overall reduction in LHSE disparities across various regions due to the utilization of vaccines. Particularly in areas with relatively nsufficient bed resources, a significant improvement in LHSE was observed in most regions. However, there was no evidence supporting the role of vaccine deployment in mitigating socioeconomic inequalities in LHSE. Conversely, the utilization of vaccines showed a positive correlation between the improvement in LHSE and the proportion of older adult population in regions with sufficient bed resources. In regions facing bed shortages, the enhancement of LHSE became more reliant on reducing the occupancy rate of secured beds for severe cases after the introduction of vaccination. Discussion: In regions facing bed shortages, the enhancement of LHSE became more reliant on reducing the occupancy rate of secured beds for severe cases. This underscores the importance for policymakers and implementers to prioritize the treatment of severe cases and ensure an effective supply of medical resources, particularly secured beds for severe cases, in their efforts to improve LHSE, in the post-COVID-19 era with rising vaccine coverage.

Inequalities in women's health insurance coverage before and after the implementation of universal health insurance in Indonesia.

Indonesia implemented a National Social Security System (Jaminan Kesehatan Nasional, JKN) in 2014. To examine the changes in the magnitude of socioeconomic inequity in women's health insurance coverage among those of reproductive age, we conducted a repeated cross-sectional study design using data from the Indonesia Demographic and Health Surveys conducted in 2012 and 2017, before and after the implementation of JKN. Results showed that while the JKN program helped to increase health insurance coverage among Indonesian women of childbearing age, low education level and household wealth status were associated with an increase in inequalities in health insurance coverage. The findings highlight the need to sustain coverage for citizens and to extend the JKN program to informal workers to reduce health coverage disparities. Further research is required to explore the mechanisms responsible for health coverage inequality based on socioeconomic indicators.

COVID-19 inequalities in England: a mathematical modelling study of transmission risk and clinical vulnerability by socioeconomic status.

BACKGROUND: The COVID-19 pandemic resulted in major inequalities in infection and disease burden between areas of varying socioeconomic deprivation in many countries, including England. Areas of higher deprivation tend to have a different population structure-generally younger-which can increase viral transmission due to higher contact rates in school-going children and working-age adults. Higher deprivation is also associated with a higher presence of chronic comorbidities, which were convincingly demonstrated to be risk factors for severe COVID-19 disease. These two major factors need to be combined to better understand and quantify their relative importance in the observed COVID-19 inequalities. METHODS: We used UK Census data on health status and demography stratified by decile of the Index of Multiple Deprivation (IMD), which is a measure of socioeconomic deprivation. We calculated epidemiological impact using an age-stratified COVID-19 transmission model, which incorporated different contact patterns and clinical health profiles by decile. To separate the contribution of each factor, we considered a scenario where the clinical health profile of all deciles was at the level of the least deprived. We also considered the effectiveness of school closures and vaccination of over 65-year-olds in each decile. RESULTS: In the modelled epidemics in urban areas, the most deprived decile experienced 9% more infections, 13% more clinical cases, and a 97% larger peak clinical size than the least deprived; we found similar inequalities in rural areas. Twenty-one per cent of clinical cases and 16% of deaths in England observed under the model assumptions would not occur if all deciles experienced the clinical health profile of the least deprived decile. We found that more deaths were prevented in more affluent areas during school closures and vaccination rollouts. CONCLUSIONS: This study demonstrates that both clinical and demographic factors synergise to generate health inequalities in COVID-19, that improving the clinical health profile of populations would increase health equity, and that some interventions can increase health inequalities.

A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus.

Background: As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D. Methods: A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed. Results: A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways. Conclusions: Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.

From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands.

INTRODUCTION: The COVID-19 pandemic exacerbated healthcare needs and caused excess mortality, especially among lower socioeconomic groups. This study describes the emergence of socioeconomic differences along the COVID-19 pathway of testing, healthcare use and mortality in the Netherlands. METHODOLOGY: This retrospective observational Dutch population-based study combined individual-level registry data from June 2020 to December 2020 on personal socioeconomic characteristics, COVID-19 administered tests, test results, general practitioner (GP) consultations, hospital admissions, Intensive Care Unit (ICU) admissions and mortality. For each outcome measure, relative differences between income groups were estimated using log-link binomial regression models. Furthermore, regression models explained socioeconomic differences in COVID-19 mortality by differences in ICU/hospital admissions, test administration and test results. RESULTS: Among the Dutch population, the lowest income group had a lower test probability (RR = 0.61) and lower risk of testing positive (RR = 0.77) compared to the highest income group. However, among individuals with at least one administered COVID-19 test, the lowest income group had a higher risk of testing positive (RR = 1.40). The likelihood of hospital admissions and ICU admissions were higher for low income groups (RR = 2.11 and RR = 2.46, respectively). The lowest income group had an almost four times higher risk of dying from COVID-19 (RR = 3.85), which could partly be explained by a higher risk of hospitalization and ICU admission, rather than differences in test administration or result. DISCUSSION: Our findings indicated that socioeconomic differences became more pronounced at each step of the care pathway, culminating to a large gap in mortality. This underlines the need for enhancing social security and well-being policies and incorporation of health equity in pandemic preparedness plans.

Socioeconomic inequalities in type 2 diabetes mellitus: a study based on a population-based survey in Iran.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran. METHODS: Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14. RESULTS: A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124). CONCLUSIONS: Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.

The Contribution of the Underlying Factors to Socioeconomic Inequalities in Obesity: A Life Course Perspective.

Objectives: Socioeconomic disparities in obesity have been observed in both childhood and adulthood. However, it remains unclear how the role of risk factors influencing these inequalities has evolved over time. Methods: Longitudinal data on 2,866 children and adolescents (6-17 years old) from the China Health and Nutrition Survey were used to track their BMI during childhood, adolescence, and adulthood. Concentration Index was utilized to measure socioeconomic inequalities in obesity, while Oaxaca decomposition was employed to determine the share of different determinants of inequality. Results: The concentration index for obesity during childhood and adulthood were 0.107 (95% CI: 0.023, 0.211) and 0.279 (95% CI: 0.203, 0.355), respectively. Changes in baseline BMI (24.6%), parental BMI (10.4%) and socioeconomic factors (6.7%) were found to be largely responsible for the increasing inequality in obesity between childhood and adulthood. Additionally, mother's education (-7.4%) was found to contribute the most to reducing these inequalities. Conclusion: Inequalities in obesity during childhood and adulthood are significant and growing. Interventions targeting individuals with higher BMI, especially those who are wealthy, can significantly reduce the gap.

Urban dog densities reveal environmental inequities in Santiago, Chile.

Dogs can negatively affect the wellbeing of people and nature, but if this changes along a socioeconomic gradient, then social inequity might be at fault. Here, we identify environmental injustice at the city scale by modeling differences in the density of urban dog populations according to varying levels of socioeconomic development across municipalities of Chile's capital, Santiago. Our analysis demonstrates a strong relation between dog density and social inequity, specifically because dog density increases along with poverty, but decreases in municipalities with higher municipal income. We offer specific proposals to ameliorate and reverse this inequity. These results expose another aspect of the impacts people and nature are subjected to by dogs, adding a new social lens to address the dog problem worldwide.

Socioeconomic inequalities in deaths of despair: Age heterogeneity in Canada's working age population.

PURPOSE: Although prior literature documented socioeconomic inequalities in deaths of despair among working age population, it is unclear whether and how (a) the link between socioeconomic status and deaths of despair differs by age (b) each measure of socioeconomic status has independent effects on deaths of despair. This study aims to reduce these knowledge gaps. METHODS: Using data from a large scale nationally representative linked dataset (2011 Canadian Census Health and Environment Cohorts), this study employed Fine-Gray subdistribution hazard models to estimate the link between socioeconomic status and deaths of despair due to suicide, drug overdose, and alcoholic liver disease among working age population (N = 4,076,530). Age stratified analysis was conducted to examine age heterogeneity. RESULTS: Socioeconomic status, such as housing tenure, employment status, household income, and education level, was associated with deaths of despair among working age population. Age differences in the association between socioeconomic status and deaths of despair were found. While education level was pronounced for deaths of despair for younger adults, a combination of socioeconomic status was significantly associated with deaths of despair for those in late adulthood. CONCLUSIONS: Socioeconomic inequalities in deaths of despair are manifest among Canadian working age population. This study lends support the social and health policies aimed at reducing gaps in mortalities.