COVID-19 mortality increases dramatically with age and is also substantially higher among Black, Indigenous, and People of Color (BIPOC) populations in the United States. These two facts introduce tradeoffs because BIPOC populations are younger than white populations. In analyses of California and Minnesota--demographically divergent states--we show that COVID vaccination schedules based solely on age benefit the older white populations at the expense of younger BIPOC populations with higher risk of death from COVID-19. We find that strategies that prioritize high-risk geographic areas for vaccination at all ages better target mortality risk than age-based strategies alone, although they do not always perform as well as direct prioritization of high-risk racial/ethnic groups. One-sentence summary Age-based COVID-19 vaccination prioritizes white people above higher-risk others; geographic prioritization improves equity.

Substantial racial and ethnic disparities in COVID-19 mortality have been observed at the state and national levels. However, less is known about how race and ethnicity and neighborhood-level disad...

Before, during, and after their immigration to the United States, immigrants face stressful life circumstances that may render them at risk for depressive symptoms. However, there is a dearth of re...

Veterans often experience challenges related to processing traumatic experiences and community reintegration, yet there is a dearth of research on promising community-driven approaches. This paper describes core processes and outcomes of Vets & Friends (V&F), a community-based support program that promotes veteran reintegration by healing trauma and moral injury using a communalization of trauma (CoT) approach. We conducted focus groups with 23 V&F group members. A mix of inductive and deductive codes were generated during thematic analysis. Critical themes identified included processes such as sharing narratives, connecting emotionally with experiences, feeling heard and accepted by group members, and listening as others shared their experiences. Outcomes included restoration of trust, connection with group members, building skills to manage trauma, and community acceptance and engagement. V&F shows promise in meeting veteran-specific needs by employing CoT approaches that offer opportunities to restore community trust and acceptance.

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.

Background: Travel distance to care facilities may shape urban-rural cancer survival disparities by creating barriers to specific treatments. Guideline-supported treatment options for women with early stage breast cancer involves considerations of breast conservation and travel burden: Mastectomy requires travel for surgery, whereas breast-conserving surgery (BCS) with adjuvant radiation therapy (RT) requires travel for both surgery and RT. This provides a unique opportunity to evaluate the impact of travel distance on surgical decisions and receipt of guideline-concordant treatment. Materials and Methods: We included 61,169 women diagnosed with early stage breast cancer between 2004 and 2013 from the Surveillance Epidemiology and End Results (SEER)-Medicare database. Driving distances to the nearest radiation facility were calculated by using Google Maps. We used multivariable regression to model treatment choice as a function of distance to radiation and Cox regression to model survival. Results: Women living farthest from radiation facilities (>50 miles vs. <10 miles) were more likely to undergo mastectomy versus BCS (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.22-1.79). Among only those who underwent BCS, women living farther from radiation facilities were less likely to receive guideline-concordant RT (OR: 1.72, 95% CI: 1.32-2.23). These guideline-discordant women had worse overall (hazards ratio [HR]: 1.50, 95% CI: 1.42-1.57) and breast-cancer specific survival (HR: 1.44, 95% CI: 1.29-1.60). Conclusions: We report two breast cancer treatments with different clinical and travel implications to show the association between travel distance, treatment decisions, and receipt of guideline-concordant treatment. Differential access to guideline-concordant treatment resulting from excess travel burden among rural patients may contribute to rural-urban survival disparities among cancer patients.

Data are needed on the use of oral anticoagulation in patients with atrial fibrillation (AF) in rural versus urban areas, including the initiation of direct oral anticoagulants (DOACs). We used Medicare data to examine rural/urban differences in anticoagulation use in patients with AF. We identified incident AF in a 20% sample of fee-for-service Medicare beneficiaries (aged ≥&nbsp;65&nbsp;years) from 2011 to 2016 and collected ZIP code and covariates at the time of AF. We identified the first anticoagulant prescription filled, if any, following AF diagnosis. We categorized beneficiaries into four rural/urban areas using rural–urban commuting area codes and used Poisson regression models to compare anticoagulant use. We included 447,252 patients with AF (mean age 79&nbsp;±&nbsp;8&nbsp;years), of which 82% were urban, 9% large rural, 5% small rural, and 4% isolated. The percentage who initiated an anticoagulant rose from 34% in 2011 to 53% in 2016, paralleling the uptake of DOACs. In a multivariable-adjusted analysis, those in rural areas (vs. urban) were more likely to initiate an anticoagulant. However, rural beneficiaries (vs. urban) were less likely to initiate a DOAC; those in isolated areas were 17% less likely (95% confidence interval [CI] 13–20), those in small rural areas were 12% less likely (95% CI 9–15), and those in large rural areas were 10% less likely (95% CI 8–12). Among Medicare beneficiaries with AF, anticoagulation use was low but increased over time with the introduction of DOACs. Rural beneficiaries were less likely to receive a DOAC.

BACKGROUND AND OBJECTIVES: The reported percent of nursing home residents suffering adverse outcomes decreased dramatically since Nursing Home Compare began reporting them, but the validity of scores is questionable for nursing homes that score well on measures using facility-reported data but poorly on inspections. Our objective is to assess whether nursing homes with these "discordant" scores are meaningfully better than nursing homes that score poorly across domains. RESEARCH DESIGN AND METHODS: We used a convergent mixed-methods design, starting with quantitative analyses of 2012-2016 national data. We conducted in-depth interviews and observations in 12 nursing homes in 2017-2018, focusing on how facilities achieved their Nursing Home Compare ratings. Additional quantitative analyses were conducted in parallel to study performance trajectories over time. Quantitative and qualitative results were interpreted together. RESULTS: Discordant facilities engage in more quality improvement strategies than poor performers, but do not seem to invest in quality improvement in resource-intensive, broad-based ways that would spill over into other domains of quality and change their trajectory of improvement. Instead, they focus on lower-resource improvements related to data quality, staff training, leadership, and communication. In contrast, poor-performing facilities seemed to lack the leadership and continuity of staff required for even these low-resource interventions. DISCUSSION AND IMPLICATIONS: High performance on the quality measures using facility-reported data is mostly meaningful rather than misleading to consumers who care about those outcomes, although discordant facilities still have quality deficits. The quality measures domain should continue to have a role in Nursing Home Compare.

Background: Relapsing-onset multiple sclerosis (MS) typically starts in early- to mid-adulthood, yet the trajectory of disease activity over the subsequent lifetime remains poorly defined. Previous studies have not quantified the age-specific portion of decreases in annualized relapse rates (ARR). Objective: The aim of this article is to determine, under a range of disease-related assumptions, the age-specific component of decreases in ARR over time among adults with relapsing-onset MS. Methods: We used a simulation modeling approach to examine a range of assumptions about changes in ARR due to age versus disability status. Scenarios included variations in initial ARR and rate of worsening on the Expanded Disability Status Scale. Model parameters were developed through analysis of MS patients in British Columbia, Canada, and literature review. Results: We found a substantial age-specific decrease in ARR in all simulated scenarios, independent of disability worsening. Under a range of clinically plausible assumptions, 88%–97% of the decrease was attributed to age and 3%–13% to disability. The age-specific decrease ranged from 22% to 37% per 5 years for a wide range of initial ARR (0.33–1.0). Conclusion: Decreases in ARR were due mostly to age rather than disability status. To facilitate informed decision making in MS, it is important to quantify the dynamic relationship between relapses and age.

<p>Objectives: To investigate trends in racial/ethnic differences in nursing home (NH) residents’ quality of life (QoL) and assess these patterns within and between facilities. Method: Data include resident-reported QoL surveys ( n = 60,093), the Minimum Data Set, and facility-level characteristics ( n = 376 facilities) for Minnesota. Hierarchical linear models were estimated to identify differences in QoL by resident race/ethnicity and facility racial/ethnic minority composition for 2011–2015. Results: White residents in low-proportion racial/ethnic minority facilities reported higher QoL than both minority and white residents in high-proportion minority facilities. While the year-to-year differences were not statistically significant, the point estimates for white–minority disparity widened over time. Discussion: Racial/ethnic differences in QoL are persistent and may be widening over time. The QoL disparity reported by minority residents and all residents in high-proportion minority facilities underscores the importance of examining NH structural characteristics and practices to ultimately achieve the goal of optimal, person-centered care in NHs.</p>

We investigated the heritability of educational attainment and how it differed between birth cohorts and cultural–geographic regions. A classical twin design was applied to pooled data from 28 cohorts representing 16 countries and including 193,518 twins with information on educational attainment at 25 years of age or older. Genetic factors explained the major part of individual differences in educational attainment (heritability: a2 = 0.43; 0.41–0.44), but also environmental variation shared by co-twins was substantial (c2 = 0.31; 0.30–0.33). The proportions of educational variation explained by genetic and shared environmental factors did not differ between Europe, North America and Australia, and East Asia. When restricted to twins 30 years or older to confirm finalized education, the heritability was higher in the older cohorts born in 1900–1949 (a2 = 0.44; 0.41–0.46) than in the later cohorts born in 1950–1989 (a2 = 0.38; 0.36–0.40), with a corresponding lower influence of common environmental factors (c2 = 0.31; 0.29–0.33 and c2 = 0.34; 0.32–0.36, respectively). In conclusion, both genetic and environmental factors shared by co-twins have an important influence on individual differences in educational attainment. The effect of genetic factors on educational attainment has decreased from the cohorts born before to those born after the 1950s.

<p>This study examines the racial/ethnic disparity among nursing home (NH) residents using a self-reported, validated measure of quality of life (QoL) among long-stay residents in Minnesota. Blinder–Oaxaca decomposition techniques determine which resident and facility factors are the potential sources of the racial/ethnic disparities in QoL. Black, Indigenous, and other People of Color (BIPOC) report lower QoL than White residents. Facility structural characteristics and being a NH with a high proportion of residents who are BIPOC are the factors that have the largest explanatory share of the disparity. Modifiable characteristics like staffing levels explain a small share of the disparity. To improve the QoL of BIPOC NH residents, efforts need to focus on addressing systemic disparities for NHs with a high proportion of residents who are BIPOC.</p>

The Covid-19 pandemic is shaking fundamental assumptions about the human life course in societies around the world. In this essay, we draw on our collective expertise to illustrate how a life course perspective can make critical contributions to understanding the pandemic’s effects on individuals, families, and populations. We explore the pandemic’s implications for the organization and experience of life transitions and trajectories within and across central domains: health, personal control and planning, social relationships and family, education, work and careers, and migration and mobility. We consider both the life course implications of being infected by the Covid-19 virus or attached to someone who has; and being affected by the pandemic’s social, economic, cultural, and psychological consequences. It is our goal to offer some programmatic observations on which life course research and policies can build as the pandemic’s short- and long-term consequences unfold.

<p>Between 1934 and the time of the 1940 Census, the US government built and leased 30,151 units of public housing, but we know little about the residents who benefited from this housing. We use a unique methodology that compares addresses of five public housing developments to complete-count data from the 1940 Census to identify residents of public housing in New York City at the time of the census. We compare these residents to the larger pool of residents living in New York City in 1940 who were eligible to apply for the housing to assess how closely housing authorities adhered to the intent of the National Industrial Recovery Act (1933) and the Housing Act of 1937. This comparison produces a picture of whom public housing administrators considered deserving of this public benefit at the dawn of the public housing program in the United States. Results indicate a shift toward serving households with lower incomes over time. All the developments had a consistent preference for households with a “nuclear family” structure, but policies favoring racial segregation and other discretion on the part of housing authorities for tenant selection created distinct populations across housing developments. Households headed by a naturalized citizen were favored over households headed by a native-born citizen in nearly all the public housing projects. This finding suggests a more nuanced understanding of who public housing administrators considered deserving of the first public housing than archival research accounts had previously indicated.</p>

Aim: Evidence for an association of foetal growth with acute myeloid leukaemia (AML) is inconclusive. AML is a rare childhood cancer, relatively more frequent in girls, with distinct features in infancy. In the context of the Childhood Leukemia International Consortium (CLIC), we examined the hypothesis that the association may vary by age, sex and disease subtype using data from 22 studies and a total of 3564 AML cases. Methods: Pooled estimates by age, sex and overall for harmonised foetal growth markers in association with AML were calculated using the International Fetal and Newborn Growth Consortium for the 21st Century Project for 17 studies contributing individual-level data; meta-analyses were, thereafter, conducted with estimates provided ad hoc by five more studies because of administrative constraints. Subanalyses by AML subtype were also performed. Results: A nearly 50% increased risk was observed among large-for-gestational-age infant boys (odds ratio [OR]: 1.49, 95% confidence interval [CI]: 1.03–2.14), reduced to 34% in boys aged <2 years (OR: 1.34, 95% CI: 1.05–1.71) and 25% in boys aged 0–14 years (OR: 1.25, 95% CI: 1.06–1.46). The association of large for gestational age became stronger in boys with M0/M1subtype (OR: 1.80, 95% CI: 1.15–2.83). Large birth length for gestational age was also positively associated with AML (OR: 1.38, 95% CI: 1.00–1.92) in boys. By contrast, there were null associations in girls, as well as with respect to associations of decelerated foetal growth markers. Conclusions: Accelerated foetal growth was associated with AML, especially in infant boys and those with minimally differentiated leukaemia. Further cytogenetic research would shed light into the underlying mechanisms.