This study examines changes in the sociodemographic patterns of deportation and voluntary return of undocumented immigrants from the United States to Mexico during three US presidential administrations (2001 to 2019) with different immigration policies. Most previous studies examining these migration flows for the United States as a whole have relied exclusively on counts of deportees and returnees, thereby ignoring changes over the past 20 y in the characteristics of the undocumented population itself, i.e., the population at risk of deportation or voluntary return. We estimate Poisson models based on two data sources that permit us to compare changes in the sex, age, education, and marital status distributions of both deportees and voluntary return migrants with the corresponding changes in the undocumented population during the Bush, Obama, and Trump administrations: the Migration Survey on the Borders of Mexico-North (Encuesta sobre Migración en las Fronteras de México-Norte) for counts of deportees and voluntary return migrants and the Current Population Survey's Annual Social and Economic Supplement for estimated counts of the undocumented population living in the United States. We find that whereas disparities by sociodemographic characteristics in the likelihood of deportation generally increased beginning in Obama's first term, sociodemographic disparities in the likelihood of voluntary return generally decreased over this period. Despite heightened antiimmigrant rhetoric during the Trump administration, the changes in deportation and voluntary return migration to Mexico among the undocumented during Trump's term were part of a trend that began early in the Obama administration.

Objectives We integrated major theories in immigrant health and assimilation into a single analytical framework to quantify the degrees to which demographic composition, pathways to citizenship, and socioeconomic assimilation account for physical and mental health disparities between naturalized immigrants by region of origin. Methods Using the restricted data from the 2015–2016 California Health Interview Survey, we decomposed differences in physical and mental health into demographic factors, path to citizenship, and socioeconomic characteristics by region of origin using the Karlson, Holm, and Breen (KHB) method. Results Differences in socioeconomic status mediated most of the disparity in physical health between naturalized immigrants from different regions. Factors associated with major immigrant health theories—demographic composition, pathways to citizenship, and socioeconomic assimilation—did not mediate disparities in mental health. Conclusion This article argues that the study of health disparities among immigrants must simultaneously account for differences in demographic composition, immigration experience, and socioeconomic disadvantage. The findings also underscore the need for theory development that can better explain mental health disparities among immigrants.

Racial/ethnic disparities in childhood cancer survival persist despite advances in cancer biology and treatment. Survival rates are consistently lower among non-Hispanic Black and Hispanic children as compared with non-Hispanic White children across a range of hematologic cancers and solid tumors. We provide a framework for considering complex systems and social determinants of health in research examining the drivers of racial/ethnic disparities in childhood cancer survival, given that pediatric patients’ interactions with the healthcare system are filtered through their caregiver, family, and societal structure. Dismantling the multi-level (patient, family, healthcare system, and structural) barriers into modifiable drivers is critical to developing policies and interventions toward equitable health outcomes. This commentary highlights areas at the family, healthcare system, and society levels that merit closer examination and proposes actions and interventions to support improvements across these levels.

Objective To quantify COVID-19 vulnerabilities for Californian residents by their legal immigration status and place of residence. Design Secondary data analysis of cross-sectional population-representative survey data. Data All adult respondents in the restricted version of the California Health Interview Survey (2015–2020, n=128 528). Outcome measure Relative Social Vulnerability Indices for COVID-19 by legal immigration status and census region across six domains: socioeconomic vulnerability; demography and disability; minority status and language barriers; high housing density; epidemiological risk; and access to care. Results Undocumented immigrants living in Southern California’s urban areas (Los Angeles, Orange, San Diego-Imperial) have exceptionally high vulnerabilities due to low socioeconomic status, high language barriers, high housing density and low access to care. San Joaquin Valley is home to vulnerable immigrant groups and a US-born population with the highest demographic and epidemiological risk for severe COVID-19. Conclusion Interventions to mitigate public health crises must explicitly consider immigrants’ dual disadvantage from social vulnerability and exclusionary state and federal safety-net policies.

We examined family isolation, economic hardship, and long-distance migration as potential patterns of an extreme outcome of a lonely death: bodily remains that remain unclaimed and are left to the state. This paper combines a unique dataset—Los Angeles County's records of unclaimed deaths—with the Vital Statistics' Mortality data and the Annual Social and Economic Survey (ASEC) to examine 1) whose remains are more likely to become unclaimed after death and, 2) whether population-level differences and trends in family isolation, economic hardship, and long-distance migration explain the differences in the rates of unclaimed deaths. We employ multivariate Poisson models to estimate relative rates of unclaimed deaths by social and demographic characteristics. We find that increases in never married, divorced/separated, and living without family were positively associated with rates of unclaimed deaths. Unemployment among men and poverty among women was associated with higher unclaimed deaths. Long-distance migration was not associated with more unclaimed bodies.