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Objectives: Racial-ethnic disparities in experiences of economic hardship during the pandemic are well documented in the population overall and among older adults. Existing research shows that this economic hardship was much less common at older than younger ages. Little is known about the intersection of racial-ethnic and age disparities in pandemic-related hardship in later life. This research report investigated racial-ethnic gaps in economic hardship by age group among older adults., Methods: Data were from the 2018 and 2020 U.S. Health and Retirement Study (HRS) including the 2020 coronavirus disease 2019 module. We estimated Heckman-corrected linear probability models to examine differences in experiences of pandemic-related economic hardship in the 2020 HRS by race-ethnicity (non-Hispanic White, non-Hispanic Black, U.S.-born Hispanic, foreign-born Hispanic) across age groups (55-64, 65-74, 75+). In the multivariable analysis, we controlled for sociodemographic characteristics, participation in social programs, pre-existing health conditions and behaviors, and economic resources from the 2018 HRS., Results: Experiences of economic hardship declined with age within each racial-ethnic group. Racial-ethnic gaps in hardship remained at older ages without any controls. However, when all controls were added, racial-ethnic gaps in economic hardship were eliminated for those ages 75+. Individual characteristics prior to the pandemic explained racial-ethnic differences in hardship for the oldest adults (75+) but did not explain gaps for those ages 55-74., Discussion: Results point to structural factors generating new racial-ethnic gaps in pandemic-related economic hardship among those approaching retirement (ages 55-74) that did not affect the oldest adults (ages 75+)., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background and Objectives: The oldest adults faced the highest risk of death and hospitalization from coronavirus disease 2019 (COVID-19), but less is known about whether they also were the most likely to experience pandemic-related economic, healthcare, and mental health challenges. Guided by prior research on vulnerability versus resilience among older adults, the current study investigated age differences in economic hardship, delays in medical care, and mental health outcomes among adults aged 55 and older., Research Design and Methods: Data were from the COVID-19 module and Leave Behind Questionnaire in the 2020 Health and Retirement Study (HRS). We estimated linear probability models to examine differences in experiences of pandemic-related economic and health challenges by age group (55-64, 65-74, 75+) with and without controls for preexisting sociodemographic, social program, health, and economic characteristics from the 2018 HRS. Models accounting for differential mortality also were estimated., Results: Adults aged 65-74 and 75+ experienced fewer economic and mental health challenges and those aged 75+ were less likely to delay medical care than adults aged 55-64. Age gradients were consistent across a broad range of measures and were robust to including controls. For all age groups, economic challenges were less common than delays in medical care or experiences of loneliness, stress, or being emotionally overwhelmed., Discussion and Implications: Even though the oldest adults were at the greatest risk of death and hospitalization from COVID-19, they experienced fewer secondary pandemic-related challenges. Future research should continue to explore the sources of this resilience for older adults., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Activity space research explores the behavioral impact of the spaces people move through in daily life. This research has focused on urban settings, devoting little attention to non-urban settings. We examined the validity of the activity space method, comparing feasibility and data quality in urban and non-urban contexts. Overall, we found that the method is easily implemented in both settings. We also found location data quality was comparable across residential and activity space settings. The major differences in GPS (Global Positioning System) density and accuracy came from the operating system (iOS versus Android) of the device used. The GPS-derived locations showed high agreement with participants' self-reported locations. We further validated GPS data by comparing at-home time allocation with the American Time Use Survey. This study suggests that it is possible to collect daily activity space data in non-urban settings that are of comparable quality to data from urban settings., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Kwiatek et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD) have increased in prevalence., Objective: This article describes the Add Health Parent Study (AHPS) Phase 2, a study of social, behavioral, and biological factors influencing healthy aging and risk for AD/ADRD, in a national sample of adults aged 58-90., Methods: Sample members are parents of the National Longitudinal Study of Adolescent to Adult Health (Add Health) cohort, initially interviewed in Add Health in midlife (1994-95). AHPS Phase 1 (2015-17) collected longitudinal data on a random subsample of parents and their spouse/partners, who were mostly Non-Hispanic (NH) White. AHPS Phase 2 will collect the same longitudinal socio-behavioral, and health survey data on all remaining NH Black and Hispanic parents (Black and Hispanic Supplement, BHS). Additionally, Phase 2 will collect cognitive and DNA data from AHPS Phase 1 and BHS sample parents and their current spouse/partners., Results: Funded by the National Institute on Aging, recruitment will occur between June 2025 and May 2026, producing an expected total AHPS sample of 5506 parents and their spouse/partners., Conclusions: The AHPS will be the first longitudinal cohort study powered to address multigenerational racial/ethnic disparities in AD/ADRD risk and protective factors across race/ethnic groups and socioeconomic strata.

The federal statistical system is experiencing competing pressures for change. On the one hand, for confidentiality reasons, much socially valuable data currently held by federal agencies is either not made available to researchers at all or only made available under onerous conditions. On the other hand, agencies which release public databases face new challenges in protecting the privacy of the subjects in those databases, which leads them to consider releasing fewer data or masking the data in ways that will reduce their accuracy. In this essay, we argue that the discussion has not given proper consideration to the reduced social benefits of data availability and their usability relative to the value of increased levels of privacy protection. A more balanced benefit-cost framework should be used to assess these trade-offs. We express concerns both with synthetic data methods for disclosure limitation, which will reduce the types of research that can be reliably conducted in unknown ways, and with differential privacy criteria that use what we argue is an inappropriate measure of disclosure risk. We recommend that the measure of disclosure risk used to assess all disclosure protection methods focus on what we believe is the risk that individuals should care about, that more study of the impact of differential privacy criteria and synthetic data methods on data usability for research be conducted before either is put into widespread use, and that more research be conducted on alternative methods of disclosure risk reduction that better balance benefits and costs.

Introduction: The generational relevance for determining disease risk for the leading causes of morbidity and mortality for U.S. adults is a source of debate., Methods: Data on 12,300 adults (Add Health Study Members) participating in Wave V (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health (also known as Add Health) were merged with data from respondents' parents (n=2,013) participating in the Add Health Parent Study (2015-2017). Analyses beginning in January 2020 examined the concordance in lifetime occurrence of chronic conditions across 4 generations, including cardiovascular disease, diabetes, hypertension, hyperlipidemia, obesity, cancer, and depression and examined the associations between individual disease history and ones' family health history for the same condition., Results: Mean ages were 37.4 years for Add Health Study Members and 62.9 years for Add Health Parent Study mothers. The histories of mothers from the Add Health Parent Study on hyperlipidemia (AOR=1.61, 95% CI=1.04, 2.48), obesity (AOR=1.77, 95% CI=1.27, 2.48), and depression (AOR=1.87, 95% CI=1.19, 2.95) were significantly associated with increased odds of Add Health Study Member report of these conditions. Maternal great grandparent hyperlipidemia history was significantly associated with the Add Health Study Member hyperlipidemia (AOR=2.81, 95% CI=1.51, 5.21). Histories of diabetes in maternal grandfather (AOR=2.41, 95% CI=1.24, 4.69) and maternal great grandparent (AOR=3.05, 95% CI=1.45, 6.43) were significantly associated with Add Health Study Member diabetes. Each additional point in the Add Health Parent Study mothers' cardiometabolic risk factor index was associated with an 11% increase (incidence rate ratio=1.11, 95% CI=1.04, 1.19) in the expected count of cardiometabolic risk conditions for the Add Health Study Members., Conclusions: Multigenerational health histories have value for quantifying the probability of diabetes, obesity, depression, and hyperlipidemia in early mid-adulthood. Family health history knowledge is relevant for health promotion and disease prevention strategies., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

This paper investigates the wage returns to schooling and actual early work experiences and how these returns have changed over the past 20 years. Using the NLSY surveys, we develop and estimate a dynamic model of the joint schooling and work decisions that young men make in early adulthood and quantify how they affect wages using a generalized Mincerian specification. Our results highlight the need to account for dynamic selection and changes in composition when analyzing changes in wage returns. In particular, we find that ignoring the selectivity of accumulated work experiences results in overstatement of the returns to education.