This research note highlights emerging findings that speak to the challenges of joining the transnational elite, particularly for those coming from the Global South. For a longitudinal study of wealth inheritors becoming more transnational via their educational paths, we spoke with 16 young people who were all in their early 20s and primarily from economic elite families in the Global South. Some participants had clear ambitions, while others were less sure about their future, wondering where they should move and what they should do when they got there. Their various narratives reveal that underlying the possibilities and problems of where to locate themselves was our participants\' access to different constellations of economic, social and cultural capital, as well as their race, citizenship and \'home\' country\'s geopolitical situation. Their parents\' ambitions that they become part of a global elite remained in most cases largely unfulfilled-despite a significant economic investment in their secondary and university educations. Only a small minority of our participants aspired to and/or were able to secure such transnational futures.

The relationship between socioeconomic level and health outcomes in older people has been widely studied, but less information about health inequalities associated with gender and place of residence exists. Also, there is scarce evidence of longitudinal inequalities, particularly in countries from the global south. This study aimed to describe the longitudinal patterns of health inequalities associated with wealth, gender, and residence area among older Mexican adults. We used data from two longitudinal studies in Mexico: The Study on Global AGEing and Adult Health (SAGE) and the Mexican Health and Aging Study (MHAS). Three domains to characterize health inequities were used: wealth, gender, and rurality. We conducted an outcome-wide analysis with nine health indicators assessing older adults\' physical and cognitive function. The Slope Index of Inequality and the Relative Index of Inequality were used as inequality measurements. Our results indicate that the greatest inequalities are observed in relation to wealth and gender. Older adults with lower socioeconomic status demonstrated higher rates of depression, sarcopenia, falls, and limitations in both basic and instrumental activities of daily living compared to their wealthier counterparts, with increasing trends in physical functionality over time. Furthermore, women experienced higher rates of depression, sarcopenia, frailty, and physical limitations compared to men. The only significant difference related to rurality was a lower rate of frailty among rural older adults. Longitudinal trajectories revealed an increase in the gap of inequality for various health indicators, especially in terms of wealth and gender. Health inequalities in old age are one of the greatest challenges facing health systems globally. Actions like universal coverage of health services for older people and the empowerment of individuals and their communities to have control over their lives and circumstances must be guaranteed.

It is well evidenced that South Africa is characterised by extreme socioeconomic inequality, which is strongly racialised. We offer an original sociological perspective, which departs from established perspectives considering the dynamics of vulnerability and poverty to focus on the structuring of classed and racialised privilege. We map how stocks of economic, cultural, and social capital intersect to generate systematic and structural inequalities in the country and consider how far these are associated with fundamental racial divides. To achieve this, we utilise rich, nationally representative data from the National Income Dynamics Study and employ Multiple Correspondence Analysis to construct a model of South African \'social space\'. Our findings underscore how entrenched racial divisions remain within South Africa, with White people being overwhelmingly located in the most privileged positions. However, our cluster analysis also indicates that forms of middle-class privilege percolate beyond a core of the 8% of the population that is white. We emphasise how age divisions are associated with social capital accumulation. Our cluster analysis reveals that trust levels increase with economic and cultural capital levels within younger age groups and could therefore come to intensify social and racial divisions.

While much research has documented stark racial gaps in total net worth, few studies have examined the development of racial gaps across different types of assets using longitudinal data. Drawing on data from the National Longitudinal Survey of Youth (1997), we study the emergence of Black-White and Hispanic-White wealth gaps across different types of assets and debt among a recent cohort of young adults. We find that the gaps in net worth, financial assets, home equity, and debt all increase over time. The racial gaps in financial assets widen at a rate that exceeds the corresponding gaps in other components of net worth. Indeed, a decomposition analysis reveals that financial assets contribute more than home equity to exacerbating net worth disparities. Our findings underscore the unique role that financial assets play in expanding racial wealth gaps in young adulthood.

This study examined the demographic, socioeconomic, health, and well-being of rural-dwelling older Cambodians and identified differentials based on age and gender. The goal is to understand disparities in wealth, health, well-being, and support systems among older adults within the context of Cambodia\'s history of civil unrest and socio-cultural norms. A regionally representative sample from three northwestern Cambodian provinces was used to evaluate household wealth, economic satisfaction, health, psychological well-being, social support, and a government welfare program. Analysis was conducted to document how these factors differed by age and gender. Significant gender differentials in demographics, well-being, and support systems were observed. Older women outnumbered men and reported lower levels of social support and psychological well-being, potentially influenced by high widowhood rates and gender-linked cultural norms. Education levels were generally low, possibly due to disruption from wars and conflicts. Relative to neighboring countries, the health status of older Cambodians was poor, though no significant gender-based health disparities were identified. There were differences in debt and wealth accumulation among age groups but no variation in welfare support by age or gender. These findings underline the significance of addressing gender disparities and socio-cultural factors affecting older Cambodians. They underscore the need for policy attention toward older women\'s psychological well-being and support systems, as well as health and social support interventions for the oldest age groups. Future research should investigate these observed patterns, accounting for regional variations and survivor selection bias.

OBJECTIVE: This study examined the association between various socioeconomic status (SES) indicators and dental visits among older Japanese.
BACKGROUND: When examining health inequalities, an adequate indicator of SES should be applied. In older adults, wealth and pensions are considered more appropriate indicators of SES than education and income, but few studies have examined.
METHODS: This cross-sectional study used data from 12 391 individuals aged 65 years or older from the 2016 Japan Gerontological Evaluation Study (JAGES). The Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were applied to examine the association of education, income, wealth and pensions with dental visits for treatment and check-up adjusting for covariates.
RESULTS: The mean age of the participants was 74.0 ± 6.2 years. In the previous year, 56.3% of participants had visited a dentist for a check-up, and 65.9% had visited for treatment. Inequalities in dental treatment visits were observed for wealth, pensions and income rather than education. Income was not significantly associated with check-up visits. Wealth showed the largest association with dental visits for treatment [(SII 0.09, 95% CI 0.06 to 0.13), (RII 1.14, 95% CI 1.09 to 1.21)] and check-up [(SII 0.08, 95% CI 0.05 to 0.12), (RII 1.16, 95% CI 1.09 to 1.23)].
CONCLUSIONS: When measuring inequalities in access to dental care among the older population, wealth and pensions could be important indicators of SES.

To examine the role of work in the bereavement process, we focused on health changes among widowed adults. We analyzed a sample of 518 adults (aged 52-95) from the Korean Retirement and Income Study (2011-2019) who experienced spousal loss during the study period. The widowed participants provided data on their employment status and perceived health at both pre-loss and post-loss. Widowed participants reported worse physical and mental health after the bereavement, but the significant health deterioration was not observed among employed participants. Adjusting for pre-loss health status and other covariates, employed widow(er)s showed a smaller decrease in physical and mental health, compared to their counterparts. The effect of employment on physical health changes was more pronounced for economically vulnerable widow(er)s. Work might serve as a restoring coping strategy for widowed individuals; economic benefits from the job may also contribute to their health and well-being.

In South Korea, the polarization of wealth is very serious, and its pace is faster than in other countries. Recently, investments in instruments such as stocks, bitcoins and in real estate are seen as decisive factors that intensify the polarization of wealth in South Korea. The motivation for this study is to analyze effects of investment on polarization of wealth. We carried out a study focused on the impact of investments on the polarization of wealth. In this study, we analyzed the effect of investment on the polarization of wealth. We studied the effect of real estate, stocks, and bitcoin on the polarization of wealth. We conducted multiple regression analysis on the income quintile share ratio, real estate, stocks, and bitcoins and then carry out multiple regression analysis with interest rates, household debt, incomes, and price indices. In order to analyze the investment impact on the polarization of wealth, the public data (2015-2020) from the government and institutions were utilized. Results showed that real estate, stocks, and bitcoins set as investment instruments in this study did not have a significant impact on the polarization of wealth. It is because the popularity of investments in real estates, stocks, and bitcoins in South Korea began in earnest from 2020, and has actually accelerated the polarization of wealth. This study has the theoretical contribution because the impact of investments on the polarization of wealth is analyzed, and policies for economic stability are discussed and presented. In addition, a new academic contribution of this study is to analyze the investment and polarization of wealth at the same time.

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UNASSIGNED: The prevalence of type 2 diabetes is increasing with the burden disproportionately falling on older adults and racial/ethnic minorities. Older adults with diabetes show greater cognitive decline and there are disparities in cognitive function by race/ethnicity that can be explained by social determinants such as wealth.
UNASSIGNED: To understand whether there is a differential relationship between wealth and cognitive function by race/ethnicity among older U.S. adults with diabetes.
UNASSIGNED: Data on 9,006 adults aged 50+ with diabetes from the Health and Retirement Study (2006-2016) were analyzed. The primary outcome, cognitive function, was a score ranging from range 0-27 categorized as: normal [12-27], mild cognitive impairment (MCI) [7-11], and dementia including Alzheimer\'s disease [0-6]. Three modeled outcomes were: 1) normal versus MCI, 2) normal versus dementia, 3) MCI versus dementia. Wealth was log transformed and used as continuous and binary (≥median, wealth and cognitive function and models were stratified by race/ethnicity. Models were adjusted for demographics, lifestyle, functional limitations, and comorbidities.
UNASSIGNED: In adjusted models, greater wealth was significantly associated with lower odds of MCI and dementia for all groups. Similarly, having wealth less than the sample median was associated with higher odds of MCI and dementia compared to wealth≥sample median.
UNASSIGNED: Increased wealth was significantly protective against MCI and dementia for all ethnic groups. Wealth less than the sample median was associated with greater odds of dementia for NHB and NHW.