Youth, family and society: Examining the dynamics of e-cigarette use in Latino college students.

OBJECTIVES: We aimed to document the social factors encouraging and discouraging e-cigarette use amongst Latino college students. PARTICIPANTS: Participants were second-generation Latino male college students. METHODS: We interviewed 20 second-generation Latino male college students, 10 regular smokers and 10 infrequent smokers, at the University of California, Irvine and the University of California, Riverside. RESULTS: Regular and infrequent smokers present similar motivations that either encourage or discourage e-cigarette use. Repeated peer-exposure, skepticism of the harmfulness of recreational use, and disagreement with familial views of substance use encourage e-cigarette use. High costs, weak nicotine euphoria, and evidence of health risks discourage e-cigarette use. CONCLUSIONS: Our results suggest that motivations for e-cigarette use in Latino college students are similar to those of young, non-Latinos and that regular and infrequent users may be determined by temporal circumstances and opportunity as opposed to unique social factors. Further research is warranted to comprehensively investigate this phenomenon.

Institutional Racism and Health: a Framework for Conceptualization, Measurement, and Analysis.

Despite growing interest in the health-related consequences of racially discriminatory institutional policies and practices, public health scholars have yet to reach a consensus on how to measure and analyze exposure to institutional racism. The purpose of this paper is to provide an overview of the conceptualization, measurement, and analysis of institutional racism in the context of quantitative research on minority health and health disparities in the United States. We begin by providing definitions of key concepts (e.g., racialization, racism, racial inequity) and describing linkages between these ideas. Next, we discuss the hypothesized mechanisms that link exposure to institutional racism with health. We then provide a framework to advance empirical research on institutional racism and health, informed by a literature review that summarizes measures and analytic approaches used in previous studies. The framework addresses six considerations: (1) policy identification, (2) population of interest, (3) exposure measurement, (4) outcome measurement, (5) study design, and (6) analytic approach. Research utilizing the proposed framework will help inform structural interventions to promote minority health and reduce racial and ethnic health disparities.

Structural racism, air pollution and the association with adverse birth outcomes in the United States: the value of examining intergenerational associations.

Structurally racist policies and practices of the past are likely to be a driving factor in current day differences in exposure to air pollution and may contribute to observed racial and ethnic disparities in adverse birth outcomes in the United States (U.S.). Non-Hispanic Black women in the U.S. experience poorer health outcomes during pregnancy and throughout the life course compared to non-Hispanic White women. This disparity holds even among non-Hispanic Black women with higher socioeconomic status. Reasons for this finding remain unclear, but long-term environmental exposure, either historical exposure or both historical and ongoing exposure, may contribute. Structural racism likely contributes to differences in social and environmental exposures by race in the U.S. context, and these differences can affect health and wellbeing across multiple generations. In this paper, we briefly review current knowledge and recommendations on the study of race and structural racism in environmental epidemiology, specifically focused on air pollution. We describe a conceptual framework and opportunities to use existing historical data from multiple sources to evaluate multi-generational influences of air pollution and structurally racist policies on birth and other relevant health outcomes. Increased analysis of this kind of data is critical for our understanding of structural racism's impact on multiple factors, including environmental exposures and adverse health outcomes, and identifying how past policies can have enduring legacies in shaping health and well-being in the present day. The intended purpose of this manuscript is to provide an overview of the widespread reach of structural racism, its potential association with health disparities and a comprehensive approach in environmental health research that may be required to study and address these problems in the U.S. The collaborative and methodological approaches we highlight have the potential to identify modifiable factors that can lead to effective interventions for health equity.

Low Job Control and Racial Disparities in Breastfeeding.

BACKGROUND: Low job control may predict shorter breastfeeding (BF) among working mothers and may contribute to racial disparities in BF. METHODS: We used demographic, employment, and health data for n = 631 observations from the Panel Study of Income Dynamics. Job control scores came from a job-exposure matrix.Using path analysis, we assessed whether job control predicted BF and mediated Black-White BF differences. We controlled for education, working hours, marital status, and low birthweight. RESULTS: Lower job control predicted decreased odds of BF for at least 6 months (odds ratio, 0.61; 95% confidence interval, 0.31-0.90; reference, no BF). Low job control explained 31% of the Black-White difference for both shorter-term and longer-term BF. CONCLUSIONS: Low job contributes to shorter BF and to BF disparities by race. Intervening to enhance job control could improve BF.

Undocumented Older Latino Immigrants in the United States: Population Projections and Share of Older Undocumented Latinos by Health Insurance Coverage and Chronic Health Conditions, 2018-2038.

OBJECTIVES: This article focuses on the older Latino undocumented population and anticipates how their current demographic characteristics and health insurance coverage might affect future population size and health insurance trends. METHODS: We use the 2013-2018 American Community Survey as a baseline to project growth in the Latino 55 and older undocumented population over the next 20 years. We use the cohort component method to estimate population size across different migration scenarios and distinguish between aging in place and new immigration. We also examine contemporary health insurance coverage and chronic health conditions among 55 and older undocumented Latinos from the 2003-2014 California Health Interview Survey. We then project health insurance rates in 2038 among Latino immigrants under different migration and policy scenarios. RESULTS: If current mortality, migration, and policy trends continue, projections estimate that 40% of undocumented Latino immigrants will be 55 years or older by 2038-nearly all of whom will have aged in place. Currently, 40% of older Latino undocumented immigrants do not have insurance. Without policies that increase access to insurance, projections estimate that the share who are uninsured among all older Latinos immigrants will rise from 15% to 21%, and the share who is both uninsured and living with a chronic health condition will rise from 5% to 9%. DISCUSSION: Without access to health care, older undocumented immigrants may experience delayed care and more severe morbidity. Our projections highlight the need to develop and enact policies that can address impending health access concerns for an increasingly older undocumented Latino population.

Severity of Inpatient Hospitalizations Among Undocumented Immigrants and Medi-Cal Patients in a Los Angeles, California, Hospital: 2019.

Objectives. To compare the severity of inpatient hospitalizations between undocumented immigrants and Medi-Cal patients in a large safety-net hospital in Los Angeles, California. Methods. We conducted a retrospective analysis of all 2019 inpatient stays at a Los Angeles hospital (n = 22 480), including patients of all races/ethnicities. We examined 3 measures by using insurance status to approximate immigration status: illness severity, length of hospital stay, and repeat hospitalizations. We calculated group differences between undocumented and Medi-Cal patients by using inverse probability weighted regression adjustment separately for patients aged 18 to 64 years and those aged 65 years and older. Results. Younger undocumented patients had less severe illness and shorter lengths of stay than their Medi-Cal counterparts. Older undocumented immigrants also had less severe illness, but had similar lengths of stay and were more likely to have repeated hospitalizations. Conclusions. While existing work suggests that undocumented immigrants could have more severe health care needs on account of their poorer access to medical care, we did not see clear health disadvantages among hospitalized undocumented immigrants, especially younger patients. There were fewer differences between undocumented and Medi-Cal patients who were older. (Am J Public Health. 2021;111(11):2019-2026. https://doi.org/10.2105/AJPH.2021.306485).

Work, race and breastfeeding outcomes for mothers in the United States.

BACKGROUND: In the United States, mothers' employment status and occupation are related to breastfeeding. However, it is unclear whether not working leads to longer breastfeeding duration even when compared to professional/managerial jobs, which tend to accommodate breastfeeding better than service/manual labor jobs. Furthermore, occupation and breastfeeding are racially patterned, and it is possible that race could moderate the relationships between mother's work and breastfeeding. METHODS: Using data from the Panel Study of Income Dynamics, we modeled breastfeeding duration based on mother's employment/occupation (not working, professional/managerial work, or service/labor work) during the first 6 months postpartum, as well as mother's race (White, Black or other) and other potential confounders. We used zero-inflated negative binomial regression models and tested an interaction between employment/occupation type and race. Predictive margins were used to compare breastfeeding duration among subgroups. RESULTS: Mothers working in service/labor occupations had the shortest breastfeeding duration of the three employment/occupation groups, and there was no significant difference in duration between not working and professional/managerial occupation. White mothers had longer breastfeeding duration than Black mothers on average. When we included an interaction between employment/occupation and race, we found that among White mothers, non-working mothers breastfed the longest, while mothers in service/labor work breastfed for the shortest duration, but among Black mothers, mothers in professional/managerial work breastfed for longer than mothers in the other two work categories. DISCUSSION: Race moderated the relationship between employment status/occupation type and breastfeeding such that, for White mothers, not working was the most advantageous circumstance for breastfeeding, in line with traditional work-family conflict theory. In contrast, for Black mothers, professional/managerial work was the most advantageous circumstance. These findings support the idea of the Market-Family Matrix, which allows that different work scenarios may be more or less advantageous for parenting behaviors like breastfeeding, depending on mothers' circumstances.

Comparing immigration status and health patterns between Latinos and Asians: Evidence from the Survey of Income and Program Participation.

Undocumented status is widely recognized as an important social determinant of health. While undocumented immigrants have lower levels of health care access, they do not have consistently poorer physical health than the US-born or other immigrant groups. Furthermore, heterogeneity by race/ethnicity has been largely ignored in this growing literature. This paper used the 2001, 2004, 2008 panels of the restricted Survey of Income and Program Participation (SIPP), one of the only representative surveys equipped to adequately identify Asian undocumented immigrants, to compare health patterns between Asians and Latinos by immigration status. We examined three general measures of health/health access: self-rated health, disability, and current health insurance. Latino undocumented immigrants displayed some advantages in self-rated health and disability but had lower insurance coverage compared to US-born Latinos. In contrast, Asian undocumented immigrants did not differ from US-born Asians in any of the three outcomes. While undocumented status has been proposed as a fundamental cause of disease, we found no evidence that Latino and Asian undocumented immigrants consistently fare worse in health access or physical health outcomes than immigrants in other status categories. Different racial groups also appeared to have unique patterns between immigration status and health outcomes from one another.

Beyond access: Psychosocial barriers to undocumented students' use of mental health services.

RATIONALE: Little is known about how undocumented immigrants navigate healthcare utilization issues apart from access. OBJECTIVE: We examine a unique population of undocumented immigrants who have access to healthcare - college students at the University of California - to identify how immigration status hinders mental health service utilization in the absence of barriers related to eligibility and insurance coverage. METHOD: We conducted semistructured interviews between March and July 2017 with 30 undocumented students at a University of California campus. RESULTS: We argue that undocumented immigration status informs mental health-related illness cognitions to negatively affect students' ability to assess their own mental health and need for services. Students expressed low perceived need because they normalized mental strain as a natural product of their unstable immigration status. Many viewed treatment as futile because it could not address underlying immigration-related issues. They also anticipated stigmas associated with mental illness as well as their own undocumented status. CONCLUSION: Solutions to address utilization disparities must go beyond eliminating formal barriers to health access and address such psychosocial barriers, as well as the larger political and social context that produces them.

Exploring Dietary Factors in the Food Insecurity and Obesity Relationship Among Latinos in California.

We explored the role of dietary factors, as measured by individual behaviors and neighborhood produce availability, in the relationship between food insecurity and obesity among a representative sample of Latinos in California. We utilized data from the 2012, 2013/2014 California Health Interview Survey and included Latinos aged 18-65 years and under 200% of the federal poverty line (n=5,957). We conducted logistic regressions to first estimate the association between food insecurity and obesity and then examine whether this association remained significant after adjusting for soda and fast food consumption, perceived neighborhood fresh produce environment, and covariates. Latina women, and not men, were significantly more likely to be obese if they were very food insecure (OR=1.50, 95% CI=1.03-2.19). After adjusting for diet and neighborhood variables, only neighborhood affordability of fresh produce reduced this significant association. Policy efforts to remediate obesity among food insecurity households should focus on the affordability of neighborhood fresh produce.

Trends in food insecurity among California residents from 2001 to 2011: Inequities at the intersection of immigration status and ethnicity.

Although immigrants are healthier than non-immigrants on numerous outcomes, the reverse appears to be true with regards to food insecurity. Most studies ignore heterogeneity in the risk for food insecurity within immigration status and by ethnicity, even though significant variation likely exists. We consider how immigration status and ethnicity are related to trends in food insecurity among Latinos and Asians in California from 2001 through 2011. Data come from the 2001 to 2011 restricted California Health Interview Survey (n=245,679). We categorized Latinos and Asians as US-born, naturalized/legal permanent residents (naturalized/LPR), and non-LPRs (students, temporary workers, refugees, and undocumented persons). Multivariable weighted logistic regression analyses assessed temporal trends over the 10-year period after adjustment for demographics, socioeconomic characteristics, and program participation. Across this period, US-born Asians reported similar levels of food insecurity as US-born Whites. Conversely, Latinos, regardless of immigration status or nativity, and Asian immigrants (i.e., naturalized/LPR and non-LPR) reported greater food insecurity than US-born Whites. Further, from 2001 through 2009, non-LPR Latinos reported higher risk of food insecurity than naturalized/LPR Latinos. Thus, food insecurity differs between ethnic groups, but also differs within ethnic group by immigration status. Efforts to reduce food insecurity should consider the additional barriers to access that are faced by immigrants, particularly those without legal permanent residency.

An examination of health selection among U.S. immigrants using multi-national data.

While migrants are widely believed to be positively selected on health, there has been very little empirical exploration of the actual health differential between migrants and non-migrants. This paper explored: 1) the extent of health selection by comparing US immigrants from 19 sending countries to their non-migrating counterparts still residing in the countries of origin; 2) country-level correlates of health selection; and 3) whether country-level health selection accounted for differences in self-rated health between immigrants and US-born Whites. We combined nationally-representative international data with data from US immigrants from the 2003-2007 Current Population Survey. The health selectivity measure was the Net Difference Index (NDI), which compares the distribution of self-rated health between migrants and non-migrants. We calculated Spearman correlation and bivariate regression coefficients between the NDI and economic, health, distance, and migration characteristics of the sending countries. We used generalized estimating equation models to examine the association between country-level health selection and immigrants' current self-rated health. We found immigrants from South America to show the most positive health selection. Health selection was significantly correlated with visa mode of entry, where family networks decrease, but work-related networks increase health selection. There was little evidence that country-level health selection explained differences in the self-rated health of US immigrants relative to US-born Whites. Our findings do not support the idea that country-level health selection underlies the "healthy immigrant effect".

The longer you stay, the worse your health? A critical review of the negative acculturation theory among Asian immigrants.

Researchers have become increasingly interested in the health patterns of immigrants with longer residence in the United States, as this reveals the health consequences of integration processes. The negative acculturation effect has been the dominant interpretation of duration patterns, despite empirical and theoretical uncertainties about this assumption. This theory assumes that immigrant health declines with longer residence in the United States because of poorer health behaviors and health risks that reflect Americanized lifestyles. This paper reviews the empirical support for the negative acculturation theory among Asian immigrants to determine if and when it is an appropriate interpretation for duration patterns. I conclude that empirical inconsistencies and methodological issues limit the negative acculturation theory as the primary interpretation for duration patterns. First, there is no consistent evidence that health behaviors decline with time. There is also substantial group heterogeneity in duration patterns as well as heterogeneity across health outcomes. The literature has not adequately addressed methodological shortcomings, such as confounding by cohort effects or non-linear duration patterns. Length of residence in the United States is still an important aspect of Asian immigrant health, but the mechanisms of this relationship are still understudied. I propose alternative frameworks between duration and health that consider environmental influences and end with future research directions to explore research gaps.

Residential mobility across local areas in the United States and the geographic distribution of the healthy population.

Determining whether population dynamics provide competing explanations to place effects for observed geographic patterns of population health is critical for understanding health inequality. We focus on the working-age population-the period of adulthood when health disparities are greatest-and analyze detailed data on residential mobility collected for the first time in the 2000 U.S. census. Residential mobility over a five-year period is frequent and selective, with some variation by race and gender. Even so, we found little evidence that mobility biases cross-sectional snapshots of local population health. Areas undergoing large or rapid population growth or decline may be exceptions. Overall, place of residence is an important health indicator; yet, the frequency of residential mobility raises questions of interpretation from etiological or policy perspectives, complicating simple understandings that residential exposures alone explain the association between place and health. Psychosocial stressors related to contingencies of social identity associated with being black, urban, or poor in the United States may also have adverse health impacts that track with structural location even with movement across residential areas.

Racial discrimination and health among Asian Americans: evidence, assessment, and directions for future research.

Research shows that racial discrimination is related to illness among diverse racial and ethnic populations. Studies of racial discrimination and health among Asian Americans, however, remain underdeveloped. In this paper, the authors review evidence on racial discrimination and health among Asian Americans, identify gaps in the literature, and provide suggestions for future research. They identified 62 empirical articles assessing the relation between discrimination and health among Asian Americans. The majority of articles focused on mental health problems, followed by physical and behavioral problems. Most studies find that discrimination was associated with poorer health, although the most consistent findings were for mental health problems. This review suggests that future studies should continue to investigate the following: 1) the measurement of discrimination among Asian Americans, whose experiences may be qualitatively different from those of other racial minority groups; 2) the heterogeneity among Asian Americans, including those factors that are particularly salient in this population, such as ethnic ancestry and immigration history; and 3) the health implications of discrimination at multiple ecologic levels, ranging from the individual level to the structural level.

Social status correlates of reporting gender discrimination and racial discrimination among racially diverse women.

The growing body of research on discrimination and health indicates a deleterious effect of discrimination on various health outcomes. However, less is known about the sociodemographic correlates of reporting racial discrimination and gender discrimination among racially diverse women. We examined the associations of social status characteristics with lifetime experiences of racial discrimination and gender discrimination using a racially-diverse sample of 754 women attending family planning clinics in North California (11.4% African American, 16.8% Latina, 10.1% Asian and 61.7% Caucasian). A multivariate analysis revealed that race, financial difficulty and marital status were significantly correlated with higher reports of racial discrimination, while race, education, financial difficulty and nativity were significantly correlated with gender discrimination scores. Our findings suggest that the social patterning of perceiving racial discrimination is somewhat different from that of gender discrimination. This has implications in the realm of discrimination research and applied interventions, as different forms of discrimination may have unique covariates that should be accounted for in research analysis or program design.