Returning personal genetic information on susceptibility to arsenic toxicity to research participants in Bangladesh.

BACKGROUND: There is growing consensus that researchers should offer to return genetic results to participants, but returning results in lower-resource countries has received little attention. In this study, we return results on genetic susceptibility to arsenic toxicity to participants in a Bangladeshi cohort exposed to arsenic through naturally-contaminated drinking water. We examine the impact on behavioral changes related to exposure reduction. METHODS: We enrolled participants from the Health Effects of Arsenic Longitudinal Study who had (1) high arsenic (≥150 µg/g creatinine) in a recent urine sample and (2) existing data on genetic variants impacting arsenic metabolism efficiency (AS3MT and FTCD). We used genetic data to recruit three study groups, each with n = 103: (1) efficient metabolizers (low-risk), (2) inefficient metabolizers (high-risk), and (3) a randomly-selected control group (NCT05072132). At baseline, all participants received information on the effects of arsenic and how to reduce exposure by switching to a low arsenic well. The two intervention groups also received their arsenic metabolism efficiency status (based on their genetic results). Changes in behavior and arsenic exposure were assessed using questionnaires and urine arsenic measures after six months. RESULTS: Clear decreases in urine arsenic after six months were observed for all three groups. The inefficient group self-reported higher levels of attempted switching to lower arsenic wells than the other groups; however, there was no detectable difference in urine arsenic reduction among the three groups. Participants showed strong interest in receiving genetic results and found them useful. The inefficient group experienced higher levels of anxiety than the other groups. Among the efficient group, that receiving genetic results did not appear to hinder behavioral change. CONCLUSION: Returning genetic results increased self-reported exposure-reducing behaviors but did not have a detectable impact on reducing urine arsenic over and above a one-on-one educational intervention.

Moving Diabetes Upstream: the Social Determinants of Diabetes Management and Control Among Immigrants in the US.

PURPOSE OF REVIEW: Relative to the US-born population, immigrants are less likely to successfully manage and control their diabetes, leading to a host of diabetes-related complications. This review draws on the social determinants of health framework (SDoH) to summarize the multilevel factors that shape diabetes care and management among immigrants in the USA. RECENT FINDINGS: While the diabetes literature is replete with research on individual-level risk factors and health behaviors, empirical literature linking the SDoH to diabetes management among immigrants is limited. However, housing precarity, food insecurity, poverty, uninsurance and underinsurance, and limited support for immigrants in healthcare systems are consistently shown to deter diabetes management and care. Immigrants with diabetes face a multitude of structural constraints to managing their diabetes. More research that theorizes the role of SDoH in diabetes management along with empirical qualitative and quantitative studies are needed. Interventions to address diabetes also require a more upstream approach in order to mitigate the drivers of diabetes disparities among immigrants.

"We have to lie low that sort of poisons me more and more": A qualitative study of violent political rhetoric and health implications for Spanish and Chinese speaking immigrants.

BACKGROUND: In recent years, the historical legacy of anti-immigrant sentiment in the US has resurfaced, fueled by a new wave of anti-immigrant political rhetoric. Violent political rhetoric, defined as either explicit or metaphorically targeted language to dehumanize targeted groups, can incite discriminatory treatment of immigrants at both interpersonal and institutional levels, shaping their health and healthcare experiences. This qualitative study explores and compares how Spanish- and Chinese-speaking immigrant populations in Chicago make sense of violent political rhetoric against their racial and ethnic identities, utilize coping strategies to maintain their sense of belonging, and experience downstream health consequences. METHODS: In 2019, 14 semi-structured focus groups were conducted among immigrants to the U.S. (n = 79). Participants were recruited from four community sites in either Hispanic/Latino or Chinese neighborhoods in Chicago. Focus groups were conducted by racially- and linguistically concordant interviewers in Spanish, Mandarin, or Cantonese. The research team developed a codebook iteratively and analyzed transcripts using grounded theory and the constant comparison method. RESULTS: Participants included Chinese (61%) and Spanish-speaking immigrants (39%), with an average age of 61.4 years (sd = 13); the majority were female (62%), unemployed (68%), and attained less than a high school diploma (53%). Self-reported stress due to political rhetoric was more pronounced among Spanish-speaking participants (93%) than Chinese participants (39.6%). Immigrants responded to manifestations of violent political rhetoric in numerous ways including mobilizing the model minority myth with internalized racism, anticipatory stress, and "high effort" coping mechanisms (John Henryism), all with downstream health effects. CONCLUSION: Violent political rhetoric is one of the mechanisms by which racism and xenophobia exacerbate a toll on the health of racialized immigrant groups. These processes have implications for both interpersonal and institutional experiences, as well as health and healthcare interactions. We propose a conceptual model that outlines these mechanisms and points to potential areas of intervention to ameliorate immigrant health inequities.

The role of smoking history in longitudinal changes in C-reactive protein between Black and White older adults in the US.

Smoking cessation is associated with decreases in C-reactive protein (CRP), a biomarker of systemic inflammation and cancer risk; yet CRP levels remain higher long-term in individuals who quit vs. those who never smoked. While non-Hispanic, Black/African American (NHB) have higher levels of CRP vs. non-Hispanic, White/Caucasian (NHW) adults, the association between CRP and race has not been examined in individuals with smoking history. Utilizing longitudinal data from the Health and Retirement Study (HRS), the current study examined the effects of race and smoking history on CRP in older adults. NHB (n = 242) and NHW (n = 1529) participants completed HRS assessments in 2006, 2010, and 2014. Dried blood spots collected at each wave were assayed for CRP. Linear mixed models were used to examine the effect of race and smoking history on CRP across waves - controlling for sociodemographics, physical activity, body mass index (BMI), and current smoking. Overall, results showed no significant effects of race or current smoking on CRP; rather age, sex, education, BMI, physical activity, smoking history, and time × race predicted CRP (ps<.04). However, while age, sex, education, BMI, physical activity, and smoking history were also predictive of CRP in NHWs (ps<.04) in race-stratified models, only BMI was a significant predictor of CRP in NHBs (p=.012). BMI may be important in explaining inflammation-related disease risk in NHBs with a history of smoking. NHBs may not experience the same reductions in CRP with smoking cessation as NHWs - potentially contributing to tobacco-related health disparities.

Assessment of Structural Barriers and Racial Group Disparities of COVID-19 Mortality With Spatial Analysis.

IMPORTANCE: Although social determinants of health (SDOH) are important factors in health inequities, they have not been explicitly associated with COVID-19 mortality rates across racial and ethnic groups and rural, suburban, and urban contexts. OBJECTIVES: To explore the spatial and racial disparities in county-level COVID-19 mortality rates during the first year of the pandemic. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data for all US counties in 50 states and the District of Columbia for the first full year of the COVID-19 pandemic (January 22, 2020, to February 28, 2021). Counties with a high concentration of a single racial and ethnic population and a high level of COVID-19 mortality rate were identified as concentrated longitudinal-impact counties. The SDOH that may be associated with mortality rate across these counties and in urban, suburban, and rural contexts were examined. The 3 largest racial and ethnic groups in the US were selected: Black or African American, Hispanic or Latinx, and non-Hispanic White populations. EXPOSURES: County-level characteristics and community health factors (eg, income inequality, uninsured rate, primary care physicians, preventable hospital stays, severe housing problems rate, and access to broadband internet) associated with COVID-19 mortality. MAIN OUTCOMES AND MEASURES: Data on county-level COVID-19 mortality rates (deaths per 100 000 population) reported by the US Centers for Disease Control and Prevention were analyzed. Four indexes were used to measure multiple dimensions of SDOH: socioeconomic advantage index, limited mobility index, urban core opportunity index, and mixed immigrant cohesion and accessibility index. Spatial regression models were used to examine the associations between SDOH and county-level COVID-19 mortality rate. RESULTS: Of the 3142 counties included in the study, 531 were identified as concentrated longitudinal-impact counties. Of these counties, 347 (11.0%) had a large Black or African American population compared with other counties, 198 (6.3%) had a large Hispanic or Latinx population compared with other counties, and 33 (1.1%) had a large non-Hispanic White population compared with other counties. A total of 489 254 COVID-19-related deaths were reported. Most concentrated longitudinal-impact counties with a large Black or African American population compared with other counties were spread across urban, suburban, and rural areas and experienced numerous disadvantages, including higher income inequality (297 of 347 [85.6%]) and more preventable hospital stays (281 of 347 [81.0%]). Most concentrated longitudinal-impact counties with a large Hispanic or Latinx population compared with other counties were located in urban areas (114 of 198 [57.6%]), and 130 (65.7%) of these counties had a high percentage of people who lacked health insurance. Most concentrated longitudinal-impact counties with a large non-Hispanic White population compared with other counties were in rural areas (23 of 33 [69.7%]), included a large group of older adults (26 of 33 [78.8%]), and had limited access to quality health care (24 of 33 [72.7%]). In urban areas, the mixed immigrant cohesion and accessibility index was inversely associated with COVID-19 mortality (coefficient [SE], -23.38 [6.06]; P < .001), indicating that mortality rates in urban areas were associated with immigrant communities with traditional family structures, multiple accessibility stressors, and housing overcrowding. Higher COVID-19 mortality rates were also associated with preventable hospital stays in rural areas (coefficient [SE], 0.008 [0.002]; P < .001) and higher socioeconomic status vulnerability in suburban areas (coefficient [SE], -21.60 [3.55]; P < .001). Across all community types, places with limited internet access had higher mortality rates, especially in urban areas (coefficient [SE], 5.83 [0.81]; P < .001). CONCLUSIONS AND RELEVANCE: This cross-sectional study found an association between different SDOH measures and COVID-19 mortality that varied across racial and ethnic groups and community types. Future research is needed that explores the different dimensions and regional patterns of SDOH to address health inequity and guide policies and programs.

The Weight of Migration: Reconsidering Health Selection and Return Migration among Mexicans.

While migration plays a key role in shaping the health of Mexican migrants in the US and those in Mexico, contemporary Mexican migration trends may challenge the health selection and return migration hypotheses, two prevailing assumptions of how migration shapes health. Using data from the Mexican Family Life Survey (2002; 2005), we tested these two hypotheses by comparing the cardiometabolic health profiles of (1) Mexico-US future migrants and nonmigrants and (2) Mexico-US return migrants and nonmigrants. First, we found limited evidence for health selection: the cardiometabolic health of Mexico-US future migrants was not measurably better than the health of their compatriots who did not migrate, although migrants differed demographically from nonmigrants. However, return migrants had higher levels of adiposity compared to those who stayed in Mexico throughout their lives; time spent in the US was also associated with obesity and elevated waist circumference. Differences in physical activity and smoking behavior did not mediate these associations. Our findings suggest positive health selection might not drive the favorable health profiles among recent cohorts of Mexican immigrants in the US. However, the adverse health of return migrants with respect to that of nonmigrants underscores the importance of considering the lived experience of Mexican migrants in the US as an important determinant of their health.

Coming up short: Comparing venous blood, dried blood spots & saliva samples for measuring telomere length in health equity research.

BACKGROUND: Telomere length (TL) in peripheral blood mononuclear cells (PBMC) from fresh venous blood is increasingly used to estimate molecular impacts of accumulated social adversity on population health. Sometimes, TL extracted from saliva or dried blood spots (DBS) are substituted as less invasive and more scalable specimen collection methods; yet, are they interchangeable with fresh blood? Studies find TL is correlated across tissues, but have not addressed the critical question for social epidemiological applications: Do different specimen types show the same association between TL and social constructs? METHODS: We integrate expertise in social epidemiology, molecular biology, and the statistical impact of measurement error on parameter estimates. Recruiting a diverse sample of 132 Metro-Detroit women, we measure TL for each woman from fresh blood PBMC, DBS, and saliva. Using regression methods, we estimate associations between social characteristics and TL, comparing estimates across specimen types for each woman. RESULTS: Associations between TL and social characteristics vary by specimen type collected from the same woman, sometimes qualitatively altering estimates of the magnitude or direction of a theorized relationship. Being Black is associated with shorter TL in PBMC, but longer TL in saliva or DBS. Education is positively associated with TL in fresh blood, but negatively associated with TL using DBS. CONCLUSION: Findings raise concerns about the use of TL measures derived from different tissues in social epidemiological research. Investigators need to consider the possibility that associations between social variables and TL may be systematically related to specimen type, rather than be valid indicators of socially-patterned biopsychosocial processes.

Change in birth outcomes among infants born to Latina mothers after a major immigration raid.

Background: Growing evidence indicates that immigration policy and enforcement adversely affect the well-being of Latino immigrants, but fewer studies examine 'spillover effects' on USA-born Latinos. Immigration enforcement is often diffuse, covert and difficult to measure. By contrast, the federal immigration raid in Postville, Iowa, in 2008 was, at the time, the largest single-site federal immigration raid in US history. Methods: We employed a quasi-experimental design, examining ethnicity-specific patterns in birth outcomes before and after the Postville raid. We analysed Iowa birth-certificate data to compare risk of term and preterm low birthweight (LBW), by ethnicity and nativity, in the 37 weeks following the raid to the same 37-week period the previous year ( n  =   52 344). We model risk of adverse birth outcomes using modified Poisson regression and model distribution of birthweight using quantile regression. Results: Infants born to Latina mothers had a 24% greater risk of LBW after the raid when compared with the same period 1 year earlier [risk ratio (95% confidence interval) = 1.24 (0.98, 1.57)]. No such change was observed among infants born to non-Latina White mothers. Increased risk of LBW was observed for USA-born and immigrant Latina mothers. The association between raid timing and LBW was stronger among term than preterm births. Changes in birthweight after the raid primarily reflected decreased birthweight below the 5th percentile of the distribution, not a shift in mean birthweight. Conclusions: Our findings highlight the implications of racialized stressors not only for the health of Latino immigrants, but also for USA-born co-ethnics.

Redressing the limitations of the Affordable Care Act for Mexican immigrants through bi-national health insurance: a willingness to pay study in Los Angeles.

The 12.4 million Mexican migrants in the United States (US) face considerable barriers to access health care, with 45% of them being uninsured. The Affordable Care Act (ACA) does not address lack of insurance for some immigrants, and the excluded groups are a large proportion of the Mexican-American community. To redress this, innovative forms of health insurance coverage have to be explored. This study analyses factors associated with willingness to pay for cross-border, bi-national health insurance (BHI) among Mexican immigrants in the US. Surveys were administered to 1,335 Mexican migrants in the Mexican Consulate of Los Angeles to assess their health status, healthcare utilization, and willingness to purchase BHI. Logistic regression was used to identify predictors of willingness to pay for BHI. Having a job, not having health insurance in the US, and relatives in Mexico attending public health services were significant predictors of willingness to pay for BHI. In addition, individuals identified quality as the most important factor when considering BHI. In spite of the interest for BHI among 54% of the sampled population, our study concludes that this type of coverage is unlikely to solve access to care challenges due to ACA eligibility among different Mexican immigrant populations.