Objective: Little is known about sexual minority (SM) older adults’ activities of daily living (ADL) and instrumental activities of daily living (IADL) limitations and their subsequent access to lo...

Labor unions might have various effects beyond the workplace. We link data on mothers from the National Longitudinal Survey of Youth (NLSY79) to data on their children from the NLSY79 Child Survey to analyze whether a mother's unionization history while a child is growing up affects two childhood outcomes-cognitive skill and behavior-and two adult outcomes-educational attainment and earnings. We similarly use the Panel Study of Income Dynamics (PSID) to analyze the effect of the unionization history of the household heads on similar childhood and adult outcomes. As these outcomes are likely the product of cumulative childhood experiences, we emphasize the use of unique, cumulative measures of mother or household head union status. We do not find a strong pattern of results indicative of a significant union influence on these measures of the quality of a child's life course.

Background and Objectives: Abundant evidence documents racial/ethnic disparities in

<p>Most older adults reside in low- and middle-income countries (LMICs) but most research dollars spent on interventions to improve the lives of older adults are awarded to researchers in High-Income Countries (HICs). One approach to improve implementation of evidence-based innovations for older adults in LMICs is designing interventions that are relevant to LMICs and HICs simultaneously. We propose that researchers in HICs could partner with stakeholders in an LMIC throughout the intervention design process to better position their intervention for implementation in that LMIC. We provide an example study from an adaptation of the Resources for Enhancing Caregiver Health (REACH) II in Vietnam, which did not use this strategy but may have benefited from this strategy. We then turn to several considerations that are important for researchers to contemplate when incorporating this strategy. Finally, we explore incentives for creating interventions that are relevant to both HICs and LMICs for funders, intervention designers, and intervention receivers. Although this is not the only strategy to bring interventions to LMICs, it may represent another tool in researchers’ toolboxes to help expedite implementation of efficacious interventions in LMICs.</p>

The U.S. Census Bureau plans to use a new disclosure avoidance technique based on differential privacy to protect respondent confidentiality for the 2020 Decennial Census of Population and Housing. Their new technique injects noise based on a number of parameters into published statistics. While the noise injection does protect respondent confidentiality, it achieves the protection at the cost of less accurate data. To better understand the impact that differential privacy has on accuracy, we compare data from the complete-count 1940 Census with multiple differentially private versions of the same data set. We examine the absolute and relative accuracy of population counts in total and by race for multiple geographic levels, and we compare commonly used measures of residential segregation computed from these data sets. We find that accuracy varies by the global privacy-loss budget and the allocation of the privacy-loss budget to geographic levels (e.g., states, counties, enumeration district) and queries. For measures of segregation, we observe situations where the differentially private data indicate less segregation than the original data and situations where the differentially private data indicate more segregation than the original data. The sensitivity of accuracy to the overall global privacy-loss budget and its allocation highlight the fundamental importance of these policy decisions. Data producers like the U.S. Census Bureau must collaborate with users not only to determine the most useful set of parameters to receive allocations of the privacy-loss budget, but also to provide documentation and tools for users to gauge the reliability and validity of statistics from publicly released data products. If they do not, producers may create statistics that are unusable or misleading for the wide variety of use cases that rely on those statistics.

Purpose: Comprehensive sexuality education (CSE) has been shown to reduce sexual risk-taking behaviors and promote healthy sexual development, and studies have shown high support for this approach. However, the past decade has seen many changes in the political landscape and social controversies. The present study reports on an updated survey and analysis of changes in support from 2006 to 2021. Methods: Survey data were collected by telephone in 2006 (N = 1,605) and online and in-person in 2021 (N = 719) from separate samples of Minnesota parents of school-age children. Parents responded to items regarding preferences for CSE, support for teaching numerous specific sexuality education topics, and the grade level at which topics should be introduced. Chi-square tests and logistic regression (with weighted 2021 data) were used to detect differences in support between survey years and across demographic and personal characteristics. Results: At both time points, approximately 90% of parents thought that CSE should be taught in schools, with significant increases in support within several demographic categories. Support for including all specific topics was high, including for topics typically considered highly controversial (e.g., gender identity, 68.7%; abortion, 77.7% in 2021). Parents endorsed introducing most topics in elementary or middle school years. Discussion: Findings suggest that policy makers and educators in Minnesota can be confident of strong parental support for CSE covering a wide range of content to meet students’ needs. Advocacy and action to advance the use of national sexuality education standards are in keeping with the views of the overwhelming majority of parents of school-age children.

Doubling in size since the 1970s, the aging needs of the African immigrant population are not fully understood. This qualitative study examined experiences of aging and retirement planning for African immigrant older adults in the United States (U.S.). Specifically, it explored the factors, processes, and ultimate decision of where these older adults planned to retire. Secondary analysis of semi-structured interviews with 15 older African immigrants in the Baltimore–Washington Metropolitan area was conducted. Data was analyzed using thematic analyses in NVivo. The majority of participants were women, with a mean age of 64. Three overarching themes with ten sub-themes were identified. The themes included: (1) cultural identity, which indicated the participant’s comfort with the U.S. society and culture; (2) decision making, meaning factors that impact participants’ choice of retirement location; and (3) decision made, meaning the final choice of where participants would like to retire. Age-friendliness for immigrant older adults in the U.S. is complex and it includes traditional domains such as physical and sociocultural environment (e.g., housing, transportation, and income). However, immigrant age-friendliness also needs to include wider contextual aspects such as political climate of their country of origin, immigrant status, family responsibilities, and acculturation in the U.S. More research is needed to better understand and facilitate age-friendly environments and transnational aging of immigrant older adults.

BACKGROUND AND OBJECTIVES: Despite research documenting gender differences in numerous outcomes in later life, we know little about gender differences in quality of life (QoL) for nursing home (NH) residents. This study examines the relationship between gender and residents' QoL, including possible reasons for differences observed. RESEARCH DESIGN AND METHODS: We used a mixed methods design including surveys with a random sample of Minnesota NH residents using a multidimensional measure of QoL (n=9,852), resident clinical data, facility-level characteristics (n=364), interviews with residents (n=64), and participant observations. We used linear mixed models and thematic analysis of resident interviews and observations to examine possible gender-related differences in residents' QoL. RESULTS: After controlling for individual and facility characteristics, men reported lower overall QoL than women, including significantly lower ratings in several QoL domains. In interviews, men noted being less satisfied with activities than women, having fewer friends, and being less able to rely on family for support. Some women described the NH as a place of respite, but men more often described being dissatisfied with life in the NH and undesirable for long-term living. Our observations were consistent with interview findings but provide additional nuances, such as that some men organized their own social groups. DISCUSSION AND IMPLICATIONS: Our findings suggest men and women experience QoL differently in NHs, with men reporting lower QoL in several domains. Tailoring more activities for men and finding ways to strengthen relationships for men in NHs could help reduce the gender differences in QoL we observed.

Purpose: The purpose of this report from the field is to describe the process by which an multidisciplinary workgroup, selected by the CDC Foundation in partnership with maternal health experts, developed a definition of racism that would be specifically appropriate for inclusion on the Maternal Mortality Review Information Application (MMRIA) form. Description: In the United States Black women are nearly 4 times more likely to experience a pregnancy-related death. Recent evidence points to racism as a fundamental cause of this inequity. Furthermore, the CDC reports that 3 of 5 pregnancy related deaths are preventable. With these startling facts in mind, the CDC created the Maternal Mortality Review Information Application (MMRIA) for use by Maternal Mortality Review Committees (MMRC) to support standardized data abstraction, case narrative development, documentation of committee decisions, and analysis on maternal mortality to inform practices and policies for preventing maternal mortality. Assessment: Charged with the task of defining racism and discrimination as contributors to pregnancy related mortality, the work group established four goals to define their efforts: (1) the desire to create a product that was inclusive of all forms of racism and discrimination experienced by birthing people; (2) an acknowledgement of the legacy of racism in the U.S. and the norms in health care delivery that perpetuate racist ideology; (3) an acknowledgement of the racist narratives surrounding the issue of maternal mortality and morbidity that often leads to victim blaming; and (4) that the product would be user friendly for MMRCs. Conclusion: The working group developed three definitions and a list of recommendations for action to help MMRC members provide suggested interventions to adopt when discrimination or racism were contributing factors to a maternal death. The specification of these definitions will allow the systematic tracking of the contribution of racism to maternal mortality through the MMRIA and allow a greater standardization of its identification across participating jurisdictions with MMRCs that use the form.

Racist policies and practices that restrict Black, as compared to white workers, from employment may drive racial inequities in birth outcomes among workers. This study examined the association between structural racism in labor markets, measured at a commuting zone where workers live and commute to work, and low-birthweight birth. We found the deleterious effect of structural racism in labor markets among US-born Southern Black pregnant people of working age, but not among African- or Caribbean-born counterparts in any US region. Our analysis highlights the intersections of structural racism, culture, migration, and history of racial oppression that vary across regions and birth outcomes of Black workers.

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.