Considerable wealth stratification exists between U.S.-born and foreign-born populations (Campbell and Kaufman 2006), with low wealth attainment documented among Mexican immigrants (Hao 2007). High rates of Mexican return migration (Azose and Raftery 2019) suggest that nonrandom selection into return migration on wealth is a potential driver of stratification. Existing theories do not conclusively predict asset accumulation among returnees versus stayers, and empirical research on return migration and wealth stratification is scarce. Combining data from the 2000 U.S. Health and Retirement Study and the 2001 Mexican Health and Aging Study to create a novel data set representing all Mexicans aged 50 and older with a history of migration to the United States and adopting a life course perspective, I find that return migration at younger and older ages is associated with higher wealth accumulation and might be a way to maximize assets at older ages. Thus, return migration may contribute to nativity-based wealth stratification in the United States. The study\'s findings point to the greater financial risks for new cohorts of immigrants aging in place, suggest caution in interpreting wealth stratification as a measure of mobility, and inform theories about the links between return migration and wealth across the life course.

Financial asset ownership is important for a large number of scholarly and practical reasons including for understanding saving propensities, risk taking, personal financial strategies, inequality, the flow of funds across national borders, and organizational marketing strategies. Yet we know little about group differences in approaches to owning various financial instruments. Chinese and Indian immigrants to the United States are large, growing, and diverse groups who are rapidly beginning to comprise a large portion of the U.S. population and whose unique financial asset ownership patterns offer insight into the factors that contribute to cross-group differences in this important behavior. The article studies how members of these two important groups own particular assets. Use data from the U.S. Census Bureau\'s Survey of Income and Program Participation (SIPP) and find that, Chinese and Indian immigrants do, indeed, exhibit unique asset ownership patterns when they are compared to native whites, African Americans, and other immigrants. Their ownership of stocks and mutual funds, interest-earning bank accounts, retirement accounts and whole life insurance. My findings demonstrate that age, tenure in the United States, education, and family traits are important meditating in the relationship between country of birth and financial asset ownership.

In this article, we describe how residential segregation and individual racial disparities generate racialized patterns of subprime lending and lead to financial loss among black borrowers in segregated cities. We conceptualize race as a cumulative disadvantage because of its direct and indirect effects on socioeconomic status at the individual and neighborhood levels, with consequences that reverberate across a borrower\'s life and between generations. Using Baltimore, Maryland as a case study setting, we combine data from reports filed under the Home Mortgage Disclosure Act with additional loan-level data from mortgage-backed securities. We find that race and neighborhood racial segregation are critical factors explaining black disadvantage across successive stages in the process of lending and foreclosure, controlling for differences in borrower credit scores, income, occupancy status, and loan-to-value ratios. We analyze the cumulative cost of predatory lending to black borrowers in terms of reduced disposable income and lost wealth. We find the cost to be substantial. Black borrowers paid an estimated additional 5 to 11 percent in monthly payments and those that completed foreclosure in the sample lost an excess of $2 million in home equity. These costs were magnified in mostly black neighborhoods and in turn heavily concentrated in communities of color. By elucidating the mechanisms that link black segregation to discrimination we demonstrate how processes of cumulative disadvantage continue to undermine black socioeconomic status in the United States today.

In this paper I use measures of childhood growth to assess from both an evolutionary theoretical and an applied public health perspective the impact of polygyny on maternal-child welfare among the Datoga pastoralists of Tanzania. I report that the growth and body composition of children varies in such a way as to suggest that polygyny is not generally beneficial to women in terms of offspring quality. Cross-sectional analysis of covariance by maternal marriage status revealed that children of first and second wives in polygynous marriages grow relatively poorly, that this is correlated with maternal physical status, and that the pattern is not modified by household wealth. I discuss how the dynamics of sexual conflicts operating during the formation and maintenance of marriages may be important factors in the etiology of poor child growth in this population, leading to complex patterns of variation in anthropometric indicators of both women and children. The theoretical conclusion is that improved evolutionary models of polygyny should be designed to examine the potential for adaptive tradeoffs between the currencies of offspring quality and quantity for all types of parents in a polygynous population. The practical conclusion is that a better understanding of the relationships between marriage practices and health outcomes would assist in the development of culturally appropriate health and nutrition interventions.

BACKGROUND: Myocardial Infarction (MI) is a main cause of death and disability worldwide, which involves a number of genetic, physiopathologic and socio-economic determinants. The aim of this study was to assess the patterns of association between education, wealth and some other risk factors with non-fatal MI in Tehran population.
METHODS: Data derived from a second round of large cross-sectional study, Urban HEART-2, conducted in Tehran in 2011. Out of 118542 participants, all 249 self-reported incident cases of nonfatal MI were selected as the case group. A number of 996, matched on age and sex, were selected as controls. Principle component analysis (PCA) was used to calculate wealth index and logistic regression model to assess relations between the study variables.
RESULTS: Mean (SD) age of participants was 60.25 (12.26) years. A total of 870 (69.9%) of the study subjects were men. Education, wealth status, family violence, hypertension and diabetes were observed as independent predictors of non-fatal MI. Overall, as the level of education increased, the odds of non-fatal MI decreased (p<0.001). We observed an almost J-shaped association between wealth status and non-fatal MI. No significant associations were found between marital status, BMI and current smoking with non-fatal MI (p<0.05).
CONCLUSIONS: We found different patterns of association between education and wealth with nonfatal MI among Tehran adults. Lower risk of non-fatal MI is linked to high educated groups whereas economically moderate group has the lowest risk of non-fatal MI occurrence.