Explaining obesity disparities by urbanicity, 2006 to 2016: A decomposition analysis.

OBJECTIVE: A large, and potentially growing, disparity in obesity prevalence exists between large central metros and less urban United States counties. This study examines its key predictors. METHODS: Using a rich county-year data set spanning 2006 to 2016, the authors conducted a Gelbach decomposition to examine the relative importance of demographic, socioeconomic, environmental, and behavioral factors in shaping the baseline obesity gap and the growth rate over time between large central metros and other counties. RESULTS: Predictors included in this model explain almost the entire obesity gap between large central metros and other counties in the baseline year but can explain only ~32% of the growing gap. At baseline, demographic predictors explain more than half the obesity gap, and socioeconomic and behavioral predictors explain the other half. Behavioral and socioeconomic predictors explain more than half the growing gap over time whereas controlling for environmental and demographic predictors decreases the obesity gap by urbanicity over time. CONCLUSIONS: Results suggest policy makers should prioritize interventions targeting health behaviors of residents in non-large central metros to slow the growth of the obesity gap between large central metros and other counties. However, to fundamentally eliminate the obesity gap, in addition to improving health behaviors, policies addressing socioeconomic inequalities are needed.

Network resources and educational outcomes among Mexican-origin youth.

Despite schooling gains over the last two decades, Mexican-origin adults complete fewer years of schooling than adults from other ethnic backgrounds. Explanations emphasizing network resources suggest Mexican-origin adolescents have social ties that are more likely to be "closed" from adults with experience in higher education-and this, in turn, inhibits the transition to college. In this study, we draw on unusual network data measuring characteristics of students' peers and friends, as well as the socioeconomic background of peers' and friends' parents. We demonstrate that Mexican-origin adolescents are much less likely to have friends whose parents have college educations. 83% of non-Hispanic Asian students and 72% of non-Hispanic white students have nominated friends with college-educated mothers; about half of Mexican-origin students do. These patterns are the result of socioeconomic segregation in social networks both across and within schools. Within schools, we observe that the educational background of friends is predictive of schooling outcomes for non-Mexican students. We find evidence that this network resource shapes non-Mexican students' educational expectations in high school and longer-run completed schooling as adults more so than it shapes the outcomes among Mexican-origin students.

Aging and undocumented: The sociology of aging meets immigration status.

Being undocumented is strongly correlated with low wages, employment in high risk occupations, and poor healthcare access. We know surprisingly little about the social lives of older undocumented adults despite the vast literature about youth and young undocumented migrants. Literature about the immigrant health paradox casts doubts on the argument that unequal social conditions translate to poorer self-reported health and mortality, but few of these studies consider immigration status as the dynamic variable that it is. Reviewing research about older migrants and minorities, I point to the emergence of undocumented older persons as a demographic group that merits attention from researchers and policymakers. This nexus offers important lessons for understanding stratification and inequality. This review offers new research directions that take into account multilevel consequences of growing old undocumented. Rather than arguing that older-aged undocumented migrants are aging into exclusion, I argue that we need careful empirical research to examine how the continuity of exclusion via policies can magnify inequalities on the basis of immigration status and racialization in older age.

An Exploration of the Relationship Between Diabetes and Depression Among Immigrants in the United States.

Research on health outcomes, especially about chronic conditions, among immigrants is necessary to meet the health care needs of this growing population. This study examines the relationship between diabetes and depression among immigrants using the 2006-2015 National Health Interview Survey (NHIS). We find a correlation between having diabetes and depression among foreign-born individuals. Being a woman, poor, and from specific regions in Latin America are associated with a higher odds of comorbid diabetes and depression. Out of the individuals with both diabetes and depression, the burden of both conditions seems to be concentrated among foreign-born individuals from Mexico, Central America, and the Caribbean. We find a correlation between having diabetes and depression among foreign-born individuals, similar to that found in U.S.-born populations. Both of these conditions contribute to the burden of disease in the U.S, and we question whether patterns of both diseases (co-morbidities) are evenly or unevenly distributed in the immigrant population.