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The Delta-Omicron wave of the COVID-19 pandemic (Wave 4) in the United States occurred in Fall of 2021 through Spring of 2022. Although vaccinations were widely available, this was the deadliest period to date in the U.S., and the toll was especially high in rural areas, exacerbating an existing rural mortality penalty. This paper uses county-level multilevel regression models and publicly available data for 47 U.S. states and the District of Columbia. We describe differences in COVID-19 case and mortality rates across the rural-urban continuum during Wave 4 of the COVID-19 pandemic. Using a progressive modeling approach, we evaluate the relative contribution of a range of explanatory factors for the rural disadvantage we observe, including: pre-pandemic population health composition, vaccination rates, political partisanship, socioeconomic composition, access to broadband internet rate, and primary care physicians per capita. Results show that rural counties had higher observed burdens of cases and deaths in Wave 4 compared to more urban counties. The most remote rural counties had Wave 4 COVID-19 mortality rates 52% higher than the most urban counties. Older age composition, worse pre-pandemic population health, lower vaccination rates, higher share of votes cast for Donald Trump in the 2020 Presidential election, and lower socioeconomic composition completely explained the rural disadvantage in reported COVID-19 case rates in Wave 4, and accounting for these factors reversed the observed rural disadvantage in COVID-19 mortality. In models of mortality rate, Trump vote share had the largest effect size, followed by the percentage of the population age 50 or older, the poverty rate, the pre-pandemic mortality rate, the share of residents with a 4-year college degree, and the vaccination rate. These findings add to a growing literature describing the disproportionate toll of the COVID-19 pandemic on rural America, highlighting the combined effect of multiple sources of rural disadvantage. • Rural counties had higher case and death rates in the Delta-Omicron wave. • Rural counties had up to 51% more deaths per capita than the most urban counties. • Age, health, and SES composition partially explained the rural disadvantage. • Vaccination and Trump vote share were separate factors in the rural disadvantage. • Multiple sources of disadvantage combined in rural areas to produce poor outcomes. [ABSTRACT FROM AUTHOR]

Opioid overdose events and deaths have become a serious public health crisis in the United States, and understanding the spatiotemporal evolution of the disease occurrences is crucial for developing effective prevention strategies, informing health systems policy and planning, and guiding local responses. However, current research lacks the capability to observe the dynamics of the opioid crisis at a fine spatial-temporal resolution over a long period, leading to ineffective policies and interventions at the local level. This paper proposes a novel regionalized sequential alignment analysis using opioid overdose events data to assess the spatiotemporal similarity of opioid overdose evolutionary trajectories within regions that share similar socioeconomic status. The model synthesizes the shape and correlation of space-time trajectories to assist space-time pattern mining in different neighborhoods, identifying trajectories that exhibit similar spatiotemporal characteristics for further analysis. By adopting this methodology, we can better understand the spatiotemporal evolution of opioid overdose events and identify regions with similar patterns of evolution. This enables policymakers and health researchers to develop effective interventions and policies to address the opioid crisis at the local level. The proposed methodology provides a new framework for understanding the spatiotemporal evolution of opioid overdose events, enabling policymakers and health researchers to develop effective interventions and policies to address this growing public health crisis. • New framework for understanding spatiotemporal dynamic of opioid overdose evolution. • Identifies patterns and regions for effective crisis interventions. • Fills the gap in fine spatial-temporal resolution research. • Guides policymakers in addressing the opioid overdose crisis. [ABSTRACT FROM AUTHOR]

Whites in the USA are the dominant racial group, with greater than average access to most material and social rewards. Yet, while whites have better outcomes than other racial groups on some health indicators, whites paradoxically compare poorly on other measures. Further, whites in the USA also rank poorly in international health comparisons. In this paper, we present a framework that combines the concept of whiteness—a system that socially, economically, and ideologically benefits European descendants and disadvantages people in other groups—with research from a variety of fields in order to comprehensively model the social factors that influence whites' health. The framework we present describes how whiteness and capitalism in the USA shape societal conditions, individual social characteristics and experiences, and psychosocial responses to circumstances to influence health outcomes. We detail specific examples of how social policies supported by whiteness, the narratives of whiteness, and the privileges of whiteness may positively and negatively affect whites' health. In doing so, we suggest several areas for future research that can expand our understanding of how social factors affect health and can contribute to the patterns and paradoxes of whites' health. By expanding research to include theoretically-grounded analyses of the dominant group's health, we can achieve a more complete picture of how systems of racial inequity affect health. [ABSTRACT FROM AUTHOR]

There has been a great deal of state-level legislative activity focused on immigration and immigrants over the past decade in the United States. Some policies aim to improve access to education, transportation, benefits, and additional services while others constrain such access. From a social determinants of health perspective, social and economic policies are intrinsically health policies, but research on the relationship between state-level immigration-related policies and Latino health remains scarce. This paper summarizes the existing evidence about the range of state-level immigration policies that affect Latino health, indicates conceptually plausible but under-explored relationships between policy domains and Latino health, traces the mechanisms through which immigration policies might shape Latino health, and points to key areas for future research. We examined peer-reviewed publications from 1986 to 2016 and assessed 838 based on inclusion criteria; 40 were included for final review. These 40 articles identified four pathways through which state-level immigration policies may influence Latino health: through stress related to structural racism; by affecting access to beneficial social institutions, particularly education; by affecting access to healthcare and related services; and through constraining access to material conditions such as food, wages, working conditions, and housing. Our review demonstrates that the field of immigration policy and health is currently dominated by a “one-policy, one-level, one-outcome” approach. We argue that pursuing multi-sectoral, multi-level, and multi-outcome research will strengthen and advance the existing evidence base on immigration policy and Latino health. [ABSTRACT FROM AUTHOR]

Obesity is a significant health problem in the United States that has encouraged a search for modifiable risk factors, such as walkable neighborhood designs. Prior research has shown linkages between a family history of obesity (i.e., due to either genetic or non-genetic factors) and an individual's risk of elevated body mass index (BMI). Yet, we know little about the possible interactions between neighborhood walkability and family susceptibility to unhealthy BMI in predicting individual BMI. This paper addresses this important research gap using a sample of 9918 women, derived from vital and administrative data in the Utah Population Database. We use a novel indicator of familial risk (a summary measure of siblings' BMI) and a neighborhood walkability score to capture familial susceptibility and environmental exposures, respectively. The analysis focuses on distinct risk combinations of familial susceptibility and neighborhood walkability. Compared with the “best” combination of lean family BMI history and more walkable neighborhoods, women in all of the other three family weight history/neighborhood categories show greater risks of obesity. Our results also indicate that the neighborhood environment has a strong association with individual obesity among women with higher family risk of obesity but that the association between neighborhood environment and individual obesity is even stronger for women with a lower family risk of obesity. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate the effects of state-level Earned Income Tax Credit (EITC) laws in the U.S. on maternal health behaviors and infant health outcomes. Using multi-state, multi-year difference-in-differences analyses, we estimated effects of state EITC generosity on maternal health behaviors, birth weight and gestation weeks. We find little difference in maternal health behaviors associated with state-level EITC. In contrast, results for key infant health outcomes of birth weight and gestation weeks show small improvements in states with EITCs, with larger effects seen among states with more generous EITCs. Our results provide evidence for important health benefits of state-level EITC policies. [ABSTRACT FROM AUTHOR]

In this paper, we present novel evidence of the extent to which intergenerational mobility is generalized or specific across domains of human and health capital. That is, do children who experience greater mobility in one domain (e.g., income) also experience mobility in other domains (education, health status, health behaviors, crime). Using rich data in Add Health, we find evidence against generalized mobility—families that are more mobile in one domain are not more mobile in others. We then ask a place-based version of this question, motivated by Chetty et al. (2014)'s work showing high levels of geographically-based income mobility in the US. The school-based sampling combined with parent-child links across many outcome domains of the Add Health allows us to use a common dataset between the two analyses. Like our individual-based results, we find limited evidence of generalized mobility by place—indeed, most estimates suggest close-to-zero correlations between many of the ten domains we explore. • Theoretically, intergenerational mobility could be generalized or specific. • Empirically, we find more evidence of specific mobility. • People and places with high income mobility may not have high health mobility. [ABSTRACT FROM AUTHOR]

Empirical evidence points to a persistent Black-White racial gap in police-caused homicides. Some scholarship treats the gap as denoting criminal justice exposure either in terms of involvement in crime or living in a high-crime context. By contrast, health scholarship typically points to the importance of racism including the attitudes, institutional practices, and overall structures that operate to privilege one group over another. Still, given the demographics of US society, the Black-White racial contrast overlooks the 25% of Americans who are neither Black nor White: Native Americans, Latinos, and Asians. The question of how the groups should be organized vis-a-vis the current Black-White model and theories arises. An answer is not straightforward. There is a rank-ordering to the groups' mortality rates as well as an exponential increase in the number of possible comparisons. In this paper we systematically review the literature on race and police-caused homicide with a particular focus on studies that attempt to move beyond the Black-White model. We find that studies on race and police-caused homicide either make no comparison between the groups, or, alternatively, use a White-non-White, a Black-non-Black, and/or a Black-Native American-Latino vs. White-Asian comparison. We use data on group-specific mortality rates to examine the strengths and limits of each of these practices. The limits are the selection of counterfactual gaps, the selection of smaller gaps, and/or the omission of larger gaps. To address these limits, we propose that a Black-Native American vs. Latino-White-Asian model best captures the higher and lower mortality rates in police-caused homicide data. • Mortality rates from police-caused homicide vary by race and ethnicity. • The Black group has the highest rate followed by the Native American, Latino, White and Asian groups. • The literature makes one of several contrasts between these groups. • These are White-non-White; Black-non-Black, or Black-Native American-Latino vs. White-Asian. • Black-Native American vs. Latino-White-Asian contrast best reflects the groups' mortality rates. [ABSTRACT FROM AUTHOR]

Many studies have examined the diffusion of health care innovation but less is known about the diffusion of health care fraud. In this paper, we consider the diffusion of potentially fraudulent Medicare home health care billing in the United States during 2002–16, with a focus on the 21 hospital referral regions (HRRs) covered by local Department of Justice (DOJ) anti-fraud "strike force" offices. We hypothesize that patient-sharing across home health care agencies (HHAs) provides a mechanism for the rapid diffusion of fraudulent strategies. We measure such activity using a novel bipartite mixture (or BMIX) network index, which captures patient sharing across multiple agencies and thus conveys more information about the diffusion process than conventional unipartite network measures. Using a complete population of fee-for-service Medicare claims data, we first find a remarkable increase in home health care activity between 2002 and 2009 in many regions targeted by the DOJ; average billing per Medicare enrollee in McAllen TX and Miami increased by $2127 and $2422 compared to just an average $289 increase in other HRRs not targeted by the DOJ. Second, we establish that the HRR-level BMIX (but not other network measures) was a strong predictor of above-average home health care expenditures across HRRs. Third, within HRRs, agencies sharing more patients with other agencies were predicted to increase billing. Finally, the initial 2002 BMIX index was a strong predictor of subsequent changes in HRR-level home health billing during 2002–9. These results highlight the importance of bipartite network structure in diffusion and in infection and contagion models more generally. • In some regions, Medicare home health care billing rose > 3-fold over 2002–2009. • A theoretical model linking home health agencies billing to their regional network. • Novel bipartite measure for the regional network of home health agencies. • The bipartite network measure strongly predicts regional home health billing. • There is evidence of peer-associations in agencies billing and treatment practices. [ABSTRACT FROM AUTHOR]

Previous studies have shown that financial turbulence is associated with a short-term increase in road traffic collisions, largely due to drivers' emotional state, distraction, sleep deprivation and alcohol consumption. In this paper we advance this debate by studying the association between economic uncertainty and road traffic mortality in the United States. We used a State-level uncertainty index and State fatalities for the period 2008–2017 and found that a one standard deviation increase in economic uncertainty is associated with an additional 0.013 monthly deaths per 100,000 people per State, on average (a 1.1% increase) - or 40 more monthly deaths in total nationwide. Results are robust to different model specifications. Our findings show that, similar to drink-driving, it is important to raise awareness about driving when distracted due to financial worries and during periods of economic uncertainty. • Financial turbulence has been associated with an increase in road traffic collisions. • We study the link between economic uncertainty and road traffic mortality in the US. • A one standard deviation increase in uncertainty is linked to 1.1% higher mortality. [ABSTRACT FROM AUTHOR]

In many parts of the world nursing home residents have experienced a disproportionate risk of exposure to COVID-19 and have died at much higher rates than other groups. There is a critical need to identify the factors driving COVID-19 risk in nursing homes to better understand and address the conditions contributing to their vulnerability during public health crises. This study investigates the characteristics associated with COVID-19 cases and deaths among residents in U.S. nursing homes from 2020 to 2021, with a focus on geospatial and racial inequalities. Using data from the Centers for Medicare and Medicaid Services and LTCFocus, this paper uses zero-inflated negative binomial regression models, Kruskal-Wallis tests, and Local Moran's I to generate statistical and geospatial results. Our analysis reveals that majority Hispanic facilities have alarmingly high COVID-19 cases and deaths, suggesting that these facilities have the greatest need for policy improvements in staffing and financing to reduce racial inequalities in nursing home care. At the same time we also detect COVID-19 hot spots in rural areas with predominately White residents, indicating a need to rethink public messaging strategies in these areas. The top states with COVID-19 hot spots are Kentucky, Pennsylvania, Illinois, and Oklahoma. This research provides new insights into the socio-spatial contexts and inequities that contribute to the vulnerability of nursing home residents during a pandemic. • Geographic and racial inequalities are important indicators of covid-19 risk. • Covid-19 cases & deaths are high among facilities with majority Hispanic residents. • Facilities with majority Hispanic residents have high covid-19 vaccination rates. • Most covid-19 hot spots of cases & deaths are in predominantly White, rural areas. • The top states with covid-19 hot spots of cases & deaths are KY, PA, IL, and OK. [ABSTRACT FROM AUTHOR]

Antimicrobial resistance (AMR) continues to present a challenge to international healthcare systems and structures of public health. The focus on optimizing antibiotic prescribing in human populations has challenged healthcare systems charged with making responsible their physician-prescribers. In the United States, physicians in almost every specialty and role use antibiotics as part of their therapeutic armamentariums. In United States hospitals, most patients are administered antibiotics during their stay. Therefore, antibiotic prescribing and utilization is a commonly accepted part of medical practice. In this paper, we utilize social science work on antibiotic prescribing to examine a critical space of care in United States hospital settings. From March to August 2018, we used ethnographic methods to study hospital-based medical intensive care unit physicians at the offices and hospital floors they frequent in two urban United States teaching hospitals. We focused on eliciting the interactions and discussions surrounding antibiotic decision-making that are uniquely influenced by the context of medical intensive care units. We argue that antibiotic use in the medical intensive care units under study was shaped by urgency, hierarchy, and uncertainty representative of the medical intensive care unit's role within the larger hospital system. We conclude that by studying the culture of antibiotic prescribing in medical intensive care units, we can see more clearly both the vulnerability of the looming antimicrobial resistance crisis and by contrast the perceived insignificance of stewarding antibiotic use when considered alongside the fragility of life amidst acute medical concerns regularly experienced in the unit. • Antibiotic prescribing in the intensive care unit was shaped by existing workflows. • The pressure to treat patients in an urgent manner led to increased antibiotic use. • Felt urgency combined with complicated patient cases fostered uncertainty. • Participants recognized an interconnectedness with other teams working in the unit. • Participants used timeliness as a rationale for antibiotic prescribing. [ABSTRACT FROM AUTHOR]

Research on disadvantage across generations typically focuses on the resources that parents pass on to their children. Yet, social disadvantage might also result from the transmission of adverse experiences from children to their parents. This paper explores one such adverse experience by examining the influence of a son's incarceration on his mother's health. Using panel data from the 1979 National Longitudinal Survey of Youth and its young adult follow up (n = 2651 mothers; 18,390 observations), the paper shows that mothers are more likely to suffer health limitations after a son is incarcerated. A time-distributed fixed effects analysis indicates that the effect on maternal health may persist or even grow over time. Rather than a short-term shock whose effect soon diminishes, a son's incarceration is a long-term strain on mothers' health. The disproportionate incarceration of young men in disadvantaged communities is thus likely to contribute to cumulative adversity among mothers already at risk of severe hardship. More broadly, the results suggest how children's adverse experiences may influence parental well-being, producing further disadvantage across generations. • Mothers experience significant health decline after their son's incarceration. • Harmful effect on maternal health may persist or even grow over time. • Fixed effects analysis better accounts for confounding than prior studies. • Racial disparities in incarceration contribute to racial disparities in health. • Young adults' adverse experiences can influence parental disadvantage. [ABSTRACT FROM AUTHOR]

Older adults consume the most prescription medication in the U.S. For those who develop Alzheimer's disease, risk of medication misuse increases with the progression of the disease. Family members commonly intervene to lessen risks by taking over the management and administering of a medication regimen. Despite the potential for grave harm around the misuse of powerful drugs, few studies provide insight into the household social context of medication use for this disease. Drawing on 60 in-depth interviews conducted in four waves over 2.5 years, this study investigates how family members administered prescription and over-the-counter medications to elders with Alzheimer's. The findings detail how family members initially created and enacted the role of proxy-administrator to avoid self-administration errors and then expanded the role to manage disruptive behaviors. During this process, family members perceived themselves as working in partnership with doctors, especially in the effort to craft a regimen that controlled the affected individual's mood and sleep/wake cycle. The paper concludes by discussing the implications that family members used medications to improve conformity to a preferred household social order. The study offers conceptual advances in understanding 1) the process of proxy-administration in Alzheimer's care and 2) the role of proxy-administrators in the medicalization of deviant behavior. [ABSTRACT FROM AUTHOR]

In this paper, we delineate how staff of two complex care management (CCM) programs in urban safety net hospitals in the United States understand trauma. We seek to (1) describe how staff in CCM programs talk about trauma in their patients' lives; (2) discuss how trauma concepts allow staff to understand patients’ symptoms, health-related behaviors, and responses to care as results of structural conditions; and (3) delineate the mismatch between long-term needs of patients with histories of trauma and the short-term interventions that CCM programs provide. Observation and interview data gathered between February 2015 and August 2016 indicate that CCM providers define trauma expansively to include individual experiences of violence such as childhood abuse and neglect or recent assault, traumatization in the course of accessing health care and structural violence. Though CCM staff implement elements of trauma-informed care, the short-term design of CCM programs puts pressure on the staff to titrate their efforts, moving patients towards graduation or discharge. Trauma concepts enable clinicians to name structural violence in clinically legitimate language. As such, trauma-informed care and structural competency approaches can complement each other. [ABSTRACT FROM AUTHOR]

There is growing concern among US-based clinicians, patients, policy makers, and in the media about the personal and community health risks associated with opioids. Perceptions about the efficacy and appropriateness of opioids for the management of chronic non-cancer pain (CNCP) have dramatically transformed in recent decades. Yet, there is very little social scientific research identifying the factors that have informed this transformation from the perspectives of prescribing clinicians. As part of an on-going ethnographic study of CNCP management among clinicians and their patients with co-occurring substance use, we interviewed 23 primary care clinicians who practice in safety-net clinical settings. In this paper, we describe the clinical and social influences informing three historic periods: (1) the escalation of opioid prescriptions for CNCP; (2) an interim period in which the efficacy of and risks associated with opioids were re-assessed; and (3) the current period of “opioid pharmacovigilance,” characterized by the increased surveillance of opioid prescriptions. Clinicians reported that interpretations of the evidence-base in favor of and opposing opioid prescribing for CNCP evolved within a larger clinical-social context. Historically, pharmaceutical marketing efforts and clinicians' concerns about racialized healthcare disparities in pain treatment influenced opioid prescription decision-making. Clinicians emphasized how patients' medical complexity (e.g. multiple chronic health conditions) and structural vulnerability (e.g. poverty, community violence) impacted access to opioids within resource-limited healthcare settings. This clinical-social history of opioid prescribing practices helps to elucidate the ongoing challenges of CNCP treatment in the US healthcare safety net and lends needed specificity to the broader, nationwide conversation about opioids. [ABSTRACT FROM AUTHOR]

Increasing “patient engagement” has become a priority for health care organizations and policy-makers seeking to reduce cost and improve the quality of care. While concepts of patient engagement have proliferated rapidly across health care settings, little is known about how health care providers make use of these concepts in clinical practice. This paper uses 20 months of ethnographic and interview research carried out from 2015 to 2016 to explore how health care providers working at two public, urban, safety-net hospitals in the United States define, discuss, and assess patient engagement. We investigate how health care providers describe engagement for high cost patients—the “super-utilizers” of the health care system—who often face complex challenges related to socioeconomic marginalization including poverty, housing insecurity, exposure to violence and trauma, cognitive and mental health issues, and substance use. The health care providers in our study faced institutional pressure to assess patient engagement and to direct care towards engaged patients. However, providers considered such assessments to be highly challenging and oftentimes inaccurate, particularly because they understood low patient engagement to be the result of difficult socioeconomic conditions. Providers tried to navigate the demand to assess patient engagement in care by looking for explicit positive and negative indicators of engagement, while also being sensitive to more subtle and intuitive signs of engagement for marginalized patients. [ABSTRACT FROM AUTHOR]

While the overall impact of the COVID-19 pandemic on U.S. population health has been devastating, it has not affected everyone equally. The risks of hospitalization and death from the disease are relatively low for the population as a whole, but much higher for specific subpopulations defined by age, health status, and race or ethnicity. The extent to which Americans perceive these disparities is an open question, with potentially important political implications. Recognition of unequal impacts may prime concerns about justice and fairness, making Americans more concerned and willing to support government intervention. On the other hand, belief that the pandemic primarily threatens "other people" or out-groups may reduce, rather than increase, a person's concern. Partisanship and media consumption habits are also likely to play a role in these perceptions, as they do in most issues related to COVID-19. In this paper, we use original survey data from the Cooperative Election Study (N = 1000) to explore Americans' perceptions of which groups are most harmed by the pandemic, the demographic and political determinants of these perceptions, and the relationship of these perceptions with their opinions about COVID-related mitigation policy. We find that, on average, people perceived accurately that certain groups (e.g., Black Americans, older people) were more affected, but these group perceptions varied by demographic and political characteristics of respondents. We find, in contrast with recent experimental evidence, that the perception that populations of color were harmed was associated with more support for pandemic mitigation strategies. More research should investigate the relationships among pandemic politics and the racial dynamics of the target populations most affected. • In fall 2020, survey participants recognized groups harmed by COVID based on age. • They had lower recognition of racial groups harmed, lowest for Native Americans. • Perceptions of groups harmed varies by information exposure and politics. • Perceiving group disparities was associated with more support for pandemic policy. • The racial dynamics surrounding the politics of COVID-19 requires more attention. [ABSTRACT FROM AUTHOR]

Although the United States has been a nation of immigrants since its founding, the massive number of asylum seekers arriving at the US-Mexico Border is a relatively new phenomenon that requires attention and study. This paper describes the lived experience of three asylum seekers, demonstrating how physical and mental health are structured by US policies and politics. The in-depth accounts are informed by participant observation and policy analysis of humanitarian, non-governmental organizations advocating for asylum seekers. We focus on health and geographical trajectories using the triple trauma paradigm that includes trauma in the country of origin, trauma incurred during transit/flight, and the trauma of arrival and relocation/resettlement in the host country. We suggest that a form of necropower, understood as processes exacerbating the potentiality for death, is embedded in the structure of the US asylum apparatus. • Asylum seekers' lived experience reveals stressors undermining physical/mental health • Exacerbation of the potentiality for death is embedded in the US asylum seeking system • Racialized targeting of immigrant bodies by the US asylum apparatus is "by design" • Decisions by specific actors and anonymous cultural patterns promote a politics of death [ABSTRACT FROM AUTHOR]

A major challenge in managing disasters during a pandemic is assessing the inequalities in society and protecting vulnerable people. The objective of this paper is to geographically understand the discrimination and inequality against minorities by COVID-19. This study designed a locational discrimination index (LDI) to measure COVID-19 discrimination against minorities at county-level in the US. LDI is the difference between the death proportion of a minority and the proportion of a minority's population. If LDI >0 is significant, COVID-19 discrimination is identified against a minority in a county. I further developed a locational minority inequality index (LMII), and LMII of a minority is directly quantified by comparing its LDI with the LDI of the majority population (i.e., the White population in the US). If LMII>0 is significant, a significant health inequality is confirmed against a minority in a county. In the US, I found 157 counties with significant discrimination against Black people, and 103 counties with significant inequality against Black people; 58 counties with significant discrimination against the American Indian population, but 38 counties with significant inequality against the American Indian population; 17 counties with significant discrimination against Native Hawaiians, but only 8 counties with significant inequality; for Hispanic people, 47 counties had significant discrimination, and 64 counties had significant inequality; for Asians, 7 counties had significant discrimination, but 28 had significant inequality. LDI, LMII, and the thematic mapping provide novel insight into COVID-19 discrimination and inequalities. To the best of our knowledge, this is the first time anyone has quantitatively and statistically defined and mapped COVID-19 discrimination and inequality against minorities at a county-level across the US. Based on this, governments and communities could make efficient decisions and take effective action to addressthe significant discrimination and inequality against Black, American Indian, Native Hawaiian, Hispanic, and Asian people, which can be applied to other pandemics or public health disasters in the USA or other countries. • The significant discrimination and inequality of COVID-19 are tested and mapped. • Locational discrimination index to quantify minority's vulnerability is developed. • Locational minority inequality index is developed to further compare inequality in vulnerability. • COVID-19 caused significant spatial inequality between minorities and the white population in the USA. [ABSTRACT FROM AUTHOR]

The United States has a mortality disadvantage relative to its political and economic peer group of other rich democracies . Recently it has been suggested that there could be a role for social policy in explaining this disadvantage. In this paper, we test this “social policy hypothesis” by presenting a time-series cross-section analysis from 1970 to 2010 of the association between welfare state generosity (for unemployment insurance, sickness benefits, and pensions) and life expectancy, for the US and 17 other high-income countries. Fixed-effects estimation with autocorrelation-corrected standard errors (robust to unmeasured between-country differences and serial autocorrelation of repeated measures) found strong associations between welfare generosity and life expectancy. A unit increase in overall welfare generosity yields a 0.17 year increase in life expectancy at birth (p < 0.001), and a 0.07 year increase in life expectancy at age 65 (p < 0.001). The strongest effects of the welfare state are in the domain of pension benefits (b = 0.439 for life expectancy at birth, p < 0.001; b = 0.199 for life expectancy at age 65, p < 0.001). Models that lag the measures of social policy by ten years produce similar results, suggesting that the results are not driven by endogeneity bias. There is evidence that the US mortality disadvantage is, in part, a welfare-state disadvantage. We estimate that life expectancy in the US would be approximately 3.77 years longer, if it had just the average social policy generosity of the other 17 OECD nations. [ABSTRACT FROM AUTHOR]

Investments in neighborhood built environments could increase physical activity and overall health. Disproportionate distribution of these changes in advantaged neighborhoods could inflate health disparities. Little information exists on where changes are occurring. This paper aims to 1) identify changes in the built environment in neighborhoods and 2) investigate associations between high levels of change and sociodemographic characteristics. Using Geographic Information Systems, neighborhood land-use, local destinations (for walking, social engagement, and physical activity), and sociodemographics were characterized in 2000 and 2010 for seven U.S. cities. Linear and change on change models estimated associations of built environment changes with baseline (2000) and change (2010–2000) in sociodemographics. Spatial patterns were assessed using Global Moran's I to measure overall clustering of change and Local Moran's I to identify statistically significant clusters of high increases surrounded by high increases (HH). Sociodemographic characteristics were compared between HH cluster and other tracts using Analysis of Variance (ANOVA). We observed small land-use changes but increases in the destination types. Greater increases in destinations were associated with higher percentage non-Hispanic whites, percentage households with no vehicle, and median household income. Associations were present for both baseline sociodemographics and changes over time. Greater increases in destinations were associated with lower baseline percentage over 65 but higher increases in percentage over 65 between 2000 and 2010. Global Moran's indicated changes were spatially clustered. HH cluster tracts started with a higher percentage non-Hispanic whites and higher percentage of households without vehicles. Between 2000 and 2010, HH cluster tracts experienced increases in percent non-Hispanic white, greater increases in median household income, and larger decreases in percent of households without a vehicle. Changes in the built environment are occurring in neighborhoods across a diverse set of U.S. metropolitan areas, but are patterned such that they may lead to increased health disparities over time. [ABSTRACT FROM AUTHOR]

Socioeconomic inequalities in childhood Body Mass Index (BMI) are becoming increasingly more pronounced across the world. Although countries differ in the direction and strength of these inequalities, cross-national comparative research on this topic is rare. This paper draws on harmonized longitudinal cohort data from four wealthy countries—Germany, the Netherlands, the United Kingdom (UK), and the United States (US)—to 1) map cross-country differences in the magnitude of socioeconomic inequalities in childhood BMI, and 2) to examine cross-country differences in the role of three energy-balance-related behaviors—physical activity, screen time, and breakfast consumption—in explaining these inequalities. Children were aged 5–7 at our first timepoint and were followed up at age 8–11. We used data from the German National Educational Panel Study, the Dutch Generation R study, the UK Millennium Cohort Study and the US Early Childhood Longitudinal-Kindergarten Study. All countries revealed significant inequalities in childhood BMI. The US stood out in having the largest inequalities. Overall, inequalities between children with low versus medium educated parents were smaller than those between children with high versus medium educated parents. The role of energy-balance-related behaviors in explaining inequalities in BMI was surprisingly consistent. Across countries, physical activity did not, while screen time and breakfast consumption did play a role. The only exception was that breakfast consumption did not play a role in the US. Cross-country differences emerged in the relative contribution of each behavior in explaining inequalities in BMI: Breakfast consumption was most important in the UK, screen time explained most in Germany and the US, and breakfast consumption and screen time were equally important in the Netherlands. Our findings suggest that what constitutes the most effective policy intervention differs across countries and that these should target both children from medium as well as low educated families. • All countries showed substantial socioeconomic inequalities in childhood BMI. • In all countries, inequalities in BMI steepen over course of primary school. • Protective factors among the most advantaged seem to mainly drive inequalities. • Across most countries, underlying mechanisms for inequalities in BMI are similar. • The relative contribution of each mechanism to BMI inequalities differs per country. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the possibility that genetic variation contributes to self-perceived weight status among adolescents and young adults in the U.S. Using samples of identical and fraternal twins across four waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health) study, we calculate heritability estimates for objective body mass index (BMI) that are in line with previous estimates. We also show that perceived weight status is heritable (h 2 ∼ 0.47) and most importantly that this trait continues to be heritable above and beyond objective BMI (h 2 ∼ 0.25). We then demonstrate significant sex differences in the heritability of weight identity across the four waves of the study, where h 2 women = 0.39, 0.35, 0.40, and 0.50 for each wave, respectively, and h 2 men = 0.10, 0.10, 0.23, and 0.03. These results call for a deeper consideration of both identity and gender in genetics research. [ABSTRACT FROM AUTHOR]

Prior research suggests that racial inequalities in health vary in magnitude across societies. This paper uses the largest nationally representative samples available to compare racial inequalities in health in the United States and Canada. Data were obtained from ten waves of the National Health Interview Survey (n = 162,271,885) and the Canadian Community Health Survey (n = 19,906,131) from 2000 to 2010. We estimated crude and adjusted odds ratios, and risk differences across racial groups for a range of health outcomes in each country. Patterns of racial health inequalities differed across the United States and Canada. After adjusting for covariates, black-white and Hispanic-white inequalities were relatively larger in the United States, while aboriginal-white inequalities were larger in Canada. In both countries, socioeconomic factors did not explain inequalities across racial groups to the same extent. In conclusion, while racial inequalities in health exist in both the United States and Canada, the magnitudes of these inequalities as well as the racial groups affected by them, differ considerably across the two countries. This suggests that the relationship between race and health varies as a function of the societal context in which it operates. [ABSTRACT FROM AUTHOR]

In the post-1996 welfare reform period in the U.S., disability assistance has become a significant source of government aid for low-income residents as other forms of public support have faced considerable reductions and restrictions. In order to qualify for Supplemental Security Income (SSI) – a means-tested assistance program that provides income stipends to qualified residents – working-age individuals with disabilities must have little income and resources, and procure medical documentation that confirms that they are unable to work due to a disability. The result of rising SSI enrollment in the face of cutbacks to other government programs is the increasing medicalization of welfare, whereby receipt of welfare benefits is contingent on a medical diagnosis of disability. Using county-level data from the American Community Survey and the Social Security Administration, this paper examines the changing spatial patterns of SSI participation of the working-age population in 2000 and 2010 across the U.S. in addition to the interconnections between disability, welfare, and poverty. Results from spatial analyses illustrate geographic variation in SSI prevalence, with distinctive spatial clusters of higher than average SSI participation in the southeast and Appalachian regions of the U.S. and in northern California. Multiple linear regression model results reveal that SSI participation is significantly correlated with disability, poverty, race, family type, and level of education in both 2000 and 2010. The findings suggest that spatial concentrations of disability, poverty, and underemployment persist in largely rural areas. The discussion explores the potential social and economic implications of long-term SSI clustering on localities and residents, and points to future research directions. [ABSTRACT FROM AUTHOR]

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”. [ABSTRACT FROM AUTHOR]

All individuals are subject to multiple risk factors for mortality. In this paper, we consider the nature of interactions between certain major sociodemographic and behavioral risk factors associated with all-cause mortality in the United States. We develop the formal logic pertaining to two forms of interaction between risk factors, additive and multiplicative relations. We then consider the general circumstances in which additive or multiplicative relations might be expected. We argue that expectations about interactions among socio-demographic variables, and their relation to behavioral variables, have been stated in terms of additivity. However, the statistical models typically used to estimate the relation between risk factors and mortality assume that risk factors act multiplicatively. We examine empirically the nature of interactions among five major risk factors associated with all-cause mortality: smoking, obesity, race, sex, and educational attainment. Data were drawn from the cross-sectional NHANES III (1988–1994) and NHANES 1999–2010 surveys, linked to death records through December 31, 2011. Our analytic sample comprised 35,604 respondents and 5369 deaths. We find that obesity is additive with each of the remaining four variables. We speculate that its additivity is a reflection of the fact that obese status is generally achieved later in life. For all pairings of socio-demographic variables, risks are multiplicative. For survival chances, it is much more dangerous to be poorly educated if you are black or if you are male. And it is much riskier to be a male if you are black. These traits, established at birth or during childhood, literally result in deadly combinations. We conclude that the identification of interactions among risk factors can cast valuable light on the nature of the process being studied. It also has public health implications by identifying especially vulnerable groups and by properly identifying the proportion of deaths attributable to a risk factor. [ABSTRACT FROM AUTHOR]

Puerto Ricans experience disproportionately high levels of emotional distress and co-occurring adverse health outcomes. Our study sought to elicit Puerto Rican men's perceptions of health disparities while centering dialogue on stressors, coping mechanisms, and general well-being. This paper focuses on one pronounced finding in our study, that of internalized racism and the effect it has on both individual well-being and intra-group cohesion. A significant gap within racial health disparity work is the role of internalized racism and its connection to psychological distress, ruptures in social unity, and resulting ill-health of racial and ethnic populations. Based on this, we probed this particular finding to further understand internalized racism within this Puerto Rican population. Using a hybrid thematic analysis approach, this study presents qualitative findings from in-depth interviews with Latino (92.5% Puerto Rican) men living in Springfield, Massachusetts and conducted between October 2019 and January 2020. Our findings reveal a duality throughout: The acceptance and propagation of negative Latinx stereotypes and consequent intragroup division exists alongside expressions of community pride and desire for Latinx unity. This duality is analyzed by using W.E.B. Du Bois's theory of double consciousness. Double consciousness not only explains the self-disparagement toward oneself and one's own racial and ethnic group, but also elucidates a liberatory pathway toward political consciousness and well-being. The concept of "second sight" within double consciousness is particularly germane, speaking to one's awakening to the learned self-subjugation imposed by White supremacy. Internalized racism contributes to the persistent propagation of disparate health burdens in minoritized communities. Remediation can and should include community-led frameworks for the development of efficacious multilevel health interventions. The Young Lords community health activism provides such a model. These findings provide viable evidence-based examples of how the academy can synergize with community-led efforts to achieve collective agency. • Internalized racism is a key contributor to emotional distress and intragroup cohesion. • Men repeated disparaging Latinx stereotypes alongside a desire for unity. • Research and community-led efforts can synergize toward collective agency and equity. • Critical praxis counters individual "self-help" public health initiatives. • Internalized racism can be tackled by engaging in community struggle and collectivity. [ABSTRACT FROM AUTHOR]

Black and low-income neighborhoods tend to have higher concentrations of fast-food restaurants and low produce supply stores. Limited access to and consumption of nutrient-rich foods is associated with poor health outcomes. Given the realities of food access, many members within the Black communities grow food as a strategy of resistance to food apartheid, and for the healing and self-determination that agriculture offers. In this paper, we unpack the history of Black people, agriculture, and land in the United States. In addition to our brief historical review, we conduct a descriptive epidemiologic study of community food-growing spaces, food access, and neighborhood racial composition in present day Philadelphia. We leverage one of the few existing datasets that systematically documents community food-growing locations throughout a major US city. By applying spatial regression techniques, we use conditional autoregressive models to determine if there are spatial associations between Black neighborhoods, poverty, food access, and urban agriculture in Philadelphia. Fully adjusted spatial models showed significant associations between Black neighborhoods and urban agriculture (RR: 1.28, 95% CI = 1.03, 1.59) and poverty and urban agriculture (RR: 1.27, 95% CI = 1.1, 1.46). The association between low food access and the presence of urban agriculture was generally increased across neighborhoods with a higher proportion of Black residents. These results show that Philadelphia neighborhoods with higher populations of Black people and neighborhoods with lower incomes, on average, tend to have more community gardens and urban farms. While the garden data is non-temporal and non-causal, one possible explanation for these findings, in alignment with what Philadelphia growers have claimed, is that urban agriculture may be a manifestation of collective agency and community resistance in Black and low-income communities, particularly in neighborhoods with low food access. • Black neighborhoods, on average, have more community gardens and urban farms. • High poverty neighborhoods have more community gardens and urban farms. • Philadelphia City Council should support and implement the Urban Agriculture Plan. [ABSTRACT FROM AUTHOR]

This paper investigated whether the commonly observed immigrant health advantage persists among undocumented immigrants in the U.S. and provides nationally representative evidence on the health of this vulnerable population. Data were derived from pooled cross-sections of the National Health Interview Survey (NHIS, 2000–2018). The legal status of foreign-born NHIS respondents is imputed using a non-parametric machine learning model built based on information from the 2004, 2008 and 2014 cohorts of the Survey of Income and Program Participation (SIPP). Multivariate logistic regression analysis indicated that, despite exposure to numerous additional risk factors, the undocumented population experienced a more pronounced Healthy Migrant Effect, with lower odds of reporting fair or poor self-rated health, any physician-diagnosed chronic conditions or being obese. The observed patterns in undocumented health outcomes may be related to the additional challenges and exclusionary policies associated with undocumented migration that could in turn lead to a more pronounced selection of healthy and resilient individuals. • Undocumented immigrants had 26% lower odds of reporting poor or fair health. • Undocumented immigrants had 23% lower odds of having been diagnosed with a chronic condition. • Undocumented immigrants had 8% lower odds of being obese. • Differences in health behaviors do not explain the health advantage of undocumented immigrants. • Residence in the US 5+ years is positively associated with worse health outcomes. [ABSTRACT FROM AUTHOR]

Care at the end-of-life in the United States has expanded in the past decade in large part due to structural changes such as increased access to hospice care, the integration of palliative care, policy mandates, and financial incentives. Despite these shifts, research shows that appropriate end-of-life care continues to be underutilized. This paper uses conversation analytic (CA) and ethnographic methods to examine doctor-patient interactions among a sample of 14 Stage IV cancer patients and the way decisions unfold about next steps in treatment during a moment that larger policy changes began to take place following passage of the Affordable Care Act. This work reveals that, despite structures designed to better facilitate end-of-life care transitions for patients in late life, doctors continue to demonstrate interactional hesitancy in discussing the possibility of a patient's end-of-life in treatment discussions and an orientation to the treatment imperative. Examining doctor-patient interaction as one key trouble source in end-of-life care implementation shows in situ evidence that the treatment imperative supersedes the structural shifts supporting less medical intervention in late life. • Despite policies supporting end-of-life care, doctors are hesitant to offer such treatment. • Doctors demonstrate pursuit of the treatment imperative in recommending treatment. • Analyzing micro-interactions offers critical insights into institutional inertia. [ABSTRACT FROM AUTHOR]

Controlling population weight gain is a major concern for industrialized nations because of associated health risks. Although Japan is experiencing rising prevalence of obesity and overweight, historically they have had and continue to maintain a low prevalence relative to other developed countries. Therefore, Japan provides an interesting case study of strategies to curb population weight gain. In this paper we explore Japanese approaches to obesity and diet through observational and ethnographic interviews conducted between June 2009 and September 2013. Nineteen interviews were conducted at four companies and three schools in Tokyo, as well as at a central Tokyo community health care center and school lunch distribution center. Interviewees included physicians, a Ministry of Health bureaucrat, human resources managers, welfare nurses employed by health insurance organizations, school nurses (also government employees), school nutritionists, and a school counselor. We highlight the role of culture and social norms in encouraging healthful behavior in Japan, focusing on the Ministry of Health, Labor, and Welfare's metabolic syndrome screening program (implemented in 2005) and the Japanese national school lunch program. The Japanese government prescribes optimal body metrics for all Japanese citizens and relies on institutions such as schools and health insurance organizations that are in some instances closely affiliated with the workplace to carry out education. Japan's socio-cultural approach leads us reflect on the cultural and social conditions that make different policy prescriptions more politically feasible and potentially effective. It also provokes us to question whether limited behavioral modifications and “nudging” can lead to broader change in an environment like the United States where there are fewer broadly shared socio-cultural norms regarding acceptable health behavior. [ABSTRACT FROM AUTHOR]

This paper discusses increasing differentiation of U.S. dietary components by socioeconomic strata and its health implications. While upper-income groups have had increasing access to higher-quality foods, lower-to-middle-income class diets are heavily focused on “energy-dense” fares. This neoliberal diet is clearly associated with the proliferation of obesity that disproportionately affects the poor. We provide a critical review of the debate about obesity from within the critical camp in food studies, between individual-focused and structural perspectives. Using official data, we show how the US diet has evolved since the 1960s to a much greater emphasis on refined carbohydrates and vegetable oils. Inequality is demonstrated by dividing the population into households-income quintiles and how they spend on food. We then introduce our Neoliberal Diet Risk Index (NDR), comprised of measures of food-import dependency, the Gini coefficient, rates of urbanization, female labor-force participation, and economic globalization. Our index serves to measure the risk of exposure to the neoliberal diet comparatively, across time and between nations. We conclude that only a societal actor like the state can redirect the food-production system by modifying its agricultural subsidy policies. Inequality-reducing policies will make the healthier food involved in such change widely available for all. [ABSTRACT FROM AUTHOR]

The use of complementary/alternative medicine (CAM) is typically modeled as a function of individual health beliefs, including changes in perceptions of conventional medicine, an orientation toward more holistic care, and increasing patient involvement in health care decision-making. Expanding on research that shows that health-related behavior is shaped by social networks, this paper examines the possibility that CAM usage is partly a function of individuals' social network structure. We argue that people are more likely to adopt CAM when they function as bridges between network members who are otherwise not (or poorly) connected to each other. This circumstance not only provides individuals with access to a wider range of information about treatment options, it also reduces the risk of sanctioning by network members if one deviates from conventional forms of treatment. We test this idea using data from the National Social Life, Health, and Aging Project (NSHAP), a nationally representative study of older Americans. Analyses of egocentric social network data show that older adults with bridging potential in their networks are significantly more likely to engage in a greater number of types of CAM. We close by discussing alternative explanations of these findings and their potential implications for research on CAM usage. [ABSTRACT FROM AUTHOR]

In this paper, we use the policy variation of two different types of health insurance in the US and in Denmark – employer-provided and universal insurance combined with substantial differences in expected and actual medical out-of-pocket expenditures – to explore the effect of new severe health shocks on the labor force participation of older workers. Our results not only provide insight into how relative disease risk affects labor force participation at older ages, but also into how different types of health care and health insurance systems affect individual decisions of labor force participation. Although employer-tied health insurance and greater out-of-pocket medical expenditures give US Americans greater incentives to continue to work, we find only small differences in the work response between the two countries. We provide compelling evidence that our somewhat counterintuitive finding is the result of differential mortality and baseline health differences coupled with distinct treatment regimes under the respective health care systems. [ABSTRACT FROM AUTHOR]

At the start of the twenty-first century, two arms of U.S. immigration policy shape the lives of families and children. The first, enforcement practices, lead to the involuntary separation of parents and children—or the fears of this outcome—when the United States government detains and forcibly removes the parents of U.S. citizen children. The second, the policies which restrict migration to the United States, cause children to experience both long and short term separations when their parents migrate without them. In this paper I use interviews collected between the years of 2003–2006 and 2009–2012 with children and their parents or guardians in both the United States and in Mexico to assess the meanings these two types of separations have for families and the potential impacts for children's well-being. I find that enforcement practices create economic and emotional hardship due to feelings of uncertainty, while restrictive immigration policies lead to resentment among children even post-reunification. [ABSTRACT FROM AUTHOR]

Coronary artery disease (CAD) has dominated mortality for most of the past century, not just in Europe and North America but worldwide. Treatments for CAD, both pharmaceutical and surgical, have become leading sectors of the healthcare economy. This paper focuses on the therapeutic landscape for CAD in the United States. We hope to add texture to the broader conversation of pharmaceuticalization explored in this issue by situating pharmaceutical therapies as just one element in the broader therapeutic terrain, alongside cardiac surgery and interventional cardiology. Patients with CAD must navigate a therapeutic landscape with three intersecting paths: lifestyle change, pharmaceuticals, and surgery. While pharmaceuticals are often seen as a quick fix, a way of avoiding more difficult lifestyle changes, it is surgery and angioplasty that promise patients the quickest fix of all. There also is another option, often overlooked by analysts but popular among physicians and patients: inaction. The U.S. context is often critiqued as a site of excessive treatment with respect to both drugs and procedures, and yet there is deep stratification within it – over-treatment in many populations and under-treatment in others. People who experience the serious risks of CAD do so in a racialized terrain of durable preoccupations with difference and unequal access to care. While the pharmaceuticalization literature disproportionately attends to lifestyle drugs, which some observers consider to be medically inappropriate or unnecessary, CAD does remain the leading cause of death. Thus, the stakes are high. Examination of the pharmaceuticalization of CAD in light of surgical treatments and racial disparities offers a window into the pervasiveness and persuasiveness of pharmaceuticals in an increasingly consumer-driven medicine, as well as the limits of their appeal and their reach. [ABSTRACT FROM AUTHOR]

This paper takes the biological drug human Growth Hormone (hGH) as a case study to investigate processes of pharmaceuticalisation and medicalisation in configuring childhood short stature as a site for pharmaceutical intervention. Human growth hormone is considered to have legitimate applications in treating childhood growth hormone deficiency and short stature associated with other recognised conditions. It is also regarded by bioethicists and others as a form of human biomedical enhancement when applied to children with idiopathic or ‘normal’ short stature. The purpose of this study is not to evaluate whether treatment of idiopathic short stature is enhancement or not, but to evaluate how some applications of hGH in treating short stature have come to be accepted and stabilised as legitimate ‘therapies’ while others remain contested as ‘enhancements’. A comparative, historical approach is employed, drawing on approaches from medical sociology and Science and Technology Studies (STS) to set out a socio-technical history of hGH in the US and UK. Through this history the relative influence and interplay of drivers of pharmaceuticalisation, including industry marketing and networks of drug distribution, and processes of medicalisation will be employed to address this question and simultaneously query the value of enhancement as a sociological concept. [ABSTRACT FROM AUTHOR]

Nearly four in ten American use complementary or alternative medicine (CAM) each year. Even with a large number of patients, CAM practitioners face scrutiny from physicians and biomedical researchers who, in an era of evidence-based medicine, argue there is little evidence to support CAM treatments. Examining how CAM has or has not been integrated into American health care is crucial in understanding the contemporary boundaries of healthcare systems. An analytical tool from science and technology studies, boundary objects, can help scholars of medicine understand which practices become integrated into these systems. Using a comparative analysis based on archival and interview data, this paper examines the use of boundary objects in two alternative medical practices – acupuncture and Christian Science. While boundary objects alone cannot explain what health practices succeed or fail, juxtaposing the use of boundary objects by different CAM groups identifies the work boundary objects do to facilitate integration and the conditions under which they “work.” I find that acupuncturists' use of sterile needles as a boundary objects assists in their effective integration into U.S. healthcare because needles are both a symbol of biomedical prowess and a potentially unsafe device requiring regulation. Christian Scientists' use of the placebo effect as a boundary object has not succeeded because they fail to acknowledge the different contextual definitions of the placebo effect in biomedical communities. This comparative analysis highlights how context affects which boundary objects “work” for CAM practices and theorizes why alternative health practices succeed or fail to become integrated into healthcare systems. [ABSTRACT FROM AUTHOR]

Estimating the effects of education on health and mortality has been the subject of intense debate and competing findings and summaries. The original Lleras-Muney (2005) methods utilizing state compulsory schooling laws as instrumental variables for completed education and US data to establish effects of education on mortality have been extended to several countries, with mixed and often null findings. However, additional US studies have lagged behind due to small samples and/or lack of mortality information in many available datasets. This paper uses a large, novel survey from the AARP on several hundred thousand respondents to present new evidence of the effects of education on a variety of health outcomes. Results suggest that education may have a role in improving several dimensions of health, such as self reports, cardiovascular outcomes, and weight outcomes. Other results appear underpowered, suggesting that further use of this methodology may require even larger, and potentially unattainable, sample sizes in the US. [ABSTRACT FROM AUTHOR]

Recent research has found that children who attended pre-kindergarten programs in childhood were more likely to be healthy as adults. One intuitive way of improving population health and longevity may therefore be to invest in pre-kindergarten programs. However, much of the research linking pre-kindergarten programs to health is very recent and has not been synthesized. In this paper, I review the mechanisms linking pre-kindergarten programs in childhood to adult longevity, and the experimental evidence backing up these linkages. I conclude with a critical exploration of whether investments in pre-kindergarten programs could also serve as investments in public health. [ABSTRACT FROM AUTHOR]

Has the shape of the association between educational attainment and U.S. adult mortality changed in recent decades? If so, is it changing consistently across demographic groups? What can changes in the shape of the association tell us about the possible mechanisms in play for improving health and lowering mortality risk over the adult life course? This paper develops the argument that societal technological change may have had profound effects on the importance of educational attainment – particularly advanced education – in the U.S. adult population for garnering health advantages and that these changes should be reflected in changes in the functional form of the association between educational attainment and mortality. We review the historical evidence on the changing functional form of the association, drawing on studies based in the United States, to assess whether these changes are consistent with our argument about the role of technological change. We also provide an updated analysis of these functional form patterns and trends, contrasting data from the early 21st Century with data from the late 20th Century. This updated evidence suggests that the shape of the association between educational attainment and U.S. adult mortality appears to be reflecting lower and lower adult mortality for very highly educated Americans compared to their low-educated counterparts in the 21st Century. We draw on this review and updated evidence to reflect on the question whether education's association with adult mortality has become increasingly causal in recent decades, why, and the potential research, policy, and global implications of these changes. [ABSTRACT FROM AUTHOR]

As medicine continues to advance, fragmentation problems in care delivery – and the promise of care integration to solve them – will remain central. But focused research over the past thirty years has yet to uncover the key factors that enable integrated care. In their paper, Burns and colleagues offer a path to new discovery in this well-trodden area: drawing on network theory to better understand the social processes through which integrated care is produced. Social processes are a vital and understudied aspect of integration, and applying network theory may help to refocus integration in a more comprehensive way. However, to transform our understanding of integrated care – and to enable impact in practice – will require expansion beyond the usual network approaches to also capture the communication and work processes that occur among entities. This is no small endeavor. It will take considerable humility, open-mindedness, and focus. [ABSTRACT FROM AUTHOR]

Most people want to be both happy and healthy. But which matters most when there is a trade-off between them? This paper addresses this question by asking 4000 members of the UK and US public to make various choices between being happy or being physically healthy. The results suggest that these trade-offs are determined in substantial part by the respondent's own levels of happiness and health, with unhappy people more likely to choose unhappy lives and unhealthy people more likely to choose unhealthy ones: "better the devil you know, than the devil you don't". Age also plays an important role; older people are more likely to choose being healthy over being happy. Information about adaptation to physical health conditions matters too, but less so than respondent characteristics. These results further our understanding of public preferences with important implications for policymakers concerned with satisfying those preferences. • Most people want to be both happy and healthy, but which matters most? • We trade-off levels of happiness and physical health in the UK and the US. • Choices are determined by respondents' own levels of happiness and health. • Information about adaptation to physical health conditions matters too. • The results have implications for policymakers seeking to satisfy those preferences. [ABSTRACT FROM AUTHOR]

Research in several countries shows higher Covid-19 vaccination willingness and uptake among physicians than nurses. Our paper aims to characterize and explain this difference. In early 2021, we surveyed 1047 U.S. primary care professionals who served adolescents, ages 11–17. The national sample included physicians (71%) as well as nurses and advanced practice providers. The survey assessed the three domains of the Increasing Vaccination Model: thinking and feeling , social processes , and direct behavior change. Covid-19 vaccine uptake was higher among physicians than among nurses and advanced practice providers (91% vs. 76%, p <.05). Overall, in the thinking and feeling domain, higher confidence in Covid-19 vaccination, higher perceived susceptibility to the disease, and stronger anticipated regret were associated with higher vaccine uptake (all p <.05). In the social processes domain, perceiving more positive social norms for Covid-19 vaccination, receiving recommendations to get the vaccine, and wanting to help others were associated with higher vaccine uptake (all p <.05). In the direct behavior change domain, receiving an invitation to get the vaccine and better access to vaccination were associated with higher uptake (both p <.05). Of these variables, most of the thinking and feeling and social processes variables mediated the association of training with vaccine uptake. Physicians had higher Covid-19 vaccine uptake than nurses and advanced practice providers, corresponding with their more supportive vaccine beliefs and social experiences. Efforts to reach the remaining unvaccinated cohort can build on these findings. • Covid-19 vaccine uptake among advanced practice providers and nurses was lower than in physicians. • Vaccine confidence and social norms explained the difference in Covid-19 vaccine uptake. • Recommendations from employers and providers suppressed some differences in vaccination. • Behavioral nudges – invitation and incentives – were associated with more vaccine uptake. • Offers directions and contexts for future vaccination interventions and programs in the U.S. [ABSTRACT FROM AUTHOR]

A number of conceptual frameworks have emerged with the goal of helping clinicians understand and navigate the intersections of the health system and broader political, economic, and cultural processes when they care for patients. In this study, we analyze the impact that one emerging framework, "structural competency," had on medical students' and physicians' understanding of societal problems affecting patient health and the practices of health systems. In this sub-analysis of a longitudinal qualitative study conducted between August and December 2020, we analyzed 19 semi-structured interviews with 7 first-year medical students, 7 upper-level medical students, and 5 physician course facilitators who participated in a course called Introduction to Medicine and Society at an medical school in the United States affiliated with a large urban academic medical center. This paper focuses on three main findings: how medical students and faculty describe "structures" and their effects on patients and patient care; how they use or imagine using structural competency to improve patient-physician communication and work interprofessionally to address social needs; and the emotional and personal reactions that confronting societal challenges provokes. We conclude that structural competency enhances existing efforts to improve patient-physician communication and to address patients' social needs. However, we highlight how structural competency efforts might fall short of their goal to shift physicians' perspectives "upstream" to the determinants of health due to both critical ambiguities in the concept and inattention to the emotional and personal impacts of addressing societal problems in the clinic. These findings have practical implications for how clinicians are trained to act on societal issues from within the health system and conceptual implications for refining how existing frameworks and curricula conceive of the intersection between healthcare and broader processes. • Ambiguity of 'structure' and 'structural competency' hinders applicability. • Emphasis on 'structure' may unintentionally essentialize marginalized patients. • Trainees' affective responses are key to addressing societal factors in the clinic. • Humility and self-reflection helped trainees better address 'structure'. [ABSTRACT FROM AUTHOR]

This paper explores differences in how primary care doctors process the clinical presentation of depression by African American and African-Caribbean patients compared with white patients in the US and the UK. The aim is to gain a better understanding of possible pathways by which racial disparities arise in depression care. One hundred and eight doctors described their thought processes after viewing video recorded simulated patients presenting with identical symptoms strongly suggestive of depression. These descriptions were analysed using the CliniClass system, which captures information about micro-components of clinical decision making and permits a systematic, structured and detailed analysis of how doctors arrive at diagnostic, intervention and management decisions. Video recordings of actors portraying black (both African American and African-Caribbean) and white (both White American and White British) male and female patients (aged 55 years and 75 years) were presented to doctors randomly selected from the Massachusetts Medical Society list and from Surrey/South West London and West Midlands National Health Service lists, stratified by country (US v.UK), gender, and years of clinical experience (less v. very experienced). Findings demonstrated little evidence of bias affecting doctors' decision making processes, with the exception of less attention being paid to the potential outcomes associated with different treatment options for African American compared with White American patients in the US. Instead, findings suggest greater clinical uncertainty in diagnosing depression amongst black compared with white patients, particularly in the UK. This was evident in more potential diagnoses. There was also a tendency for doctors in both countries to focus more on black patients' physical rather than psychological symptoms and to identify endocrine problems, most often diabetes, as a presenting complaint for them. This suggests that doctors in both countries have a less well developed mental model of depression for black compared with white patients. [ABSTRACT FROM AUTHOR]

Physical activity is an important determinant of obesity and overall health for children, but significant race/ethnic and nativity disparities exist in the amount of physical activity that children receive, with immigrant children particularly at risk for low levels of physical activity. In this paper, we examine and compare patterns in physical activity levels for young children of U.S.-born and immigrant mothers from seven race/ethnic and nativity groups, and test whether physical activity is associated with subjective (parent-reported) and objective (U.S. Census) neighborhood measures. The neighborhood measures include parental-reported perceptions of safety and physical and social disorder and objectively defined neighborhood socioeconomic disadvantage and immigrant concentration. Using restricted, geo-coded Early Childhood Longitudinal Study-Kindergarten (ECLS-K) data (N = 17,510) from 1998 to 1999 linked with U.S. Census 2000 data for the children's neighborhoods, we utilize zero-inflated Poisson (ZIP) models to predict the odds of physical inactivity and expected days of physical activity for kindergarten-aged children. Across both outcomes, foreign-born children have lower levels of physical activity compared to U.S.-born white children. This disparity is not attenuated by a child's socioeconomic, family, or neighborhood characteristics. Physical and social disorder is associated with higher odds of physical inactivity, while perceptions of neighborhood safety are associated with increased expected days of physical activity, but not with inactivity. Immigrant concentration is negatively associated with both physical activity outcomes, but its impact on the probability of physical inactivity differs by the child's race/ethnic and nativity group, such that it is particularly detrimental for U.S.-born white children's physical activity. Research interested in improving the physical activity patterns of minority and second-generation immigrant children should consider how neighborhood context differentially impacts the health and physical activity of children from various racial, ethnic and nativity backgrounds. [ABSTRACT FROM AUTHOR]

Preterm delivery (PTD), defined as delivery prior to 37 weeks gestation, is a key contributor to persistent racial disparities in infant mortality in the United States. Five major funding initiatives were devoted to advancing PTD epidemiology during the 1990s and 2000s. By examining content and rhetorical features of 94 studies conducted under these initiatives, and published between 1993 and 2011, this paper considers how calls for more "contextual" approaches (focusing on social and environmental contexts) interacted with more "conventional" approaches (focusing on individual-level risk factors) to PTD epidemiology during this period. Contextual advocates initially emphasized complex biosocial reasoning to better connect social adversity with embodied outcomes. Yet responses by researchers invested in conventional approaches, as well as in studies published under new initiatives that explicitly claimed to incorporate contextual insights, often reframed this complex reasoning in biologically reductionist terms. Subsequent contextual advocates then focused on developing statistical methods to support research about social and environmental causes of PTD, and this strategy appears to have gained some traction with conventional researchers. These findings call for closer attention to language and power in both social scientific studies of epidemiological knowledge production, as well as among epidemiologists themselves. [ABSTRACT FROM AUTHOR]