Objectives: This article investigates distinct patterns of adverse childhood experiences (ACEs) in a representative sample of US older adults, and how the ACEs patterns relate to major depression and substance use disorder (SUD). Methods: Data came from the National Epidemiologic Survey on Alcohol and Related Conditions III. The study sample consisted of older adults aged 55 or older (N = 11,386). The dependent variable was past-year SUD measuring any DSM-5 diagnosis for alcohol, tobacco, cannabis, and other illicit drugs. The independent variables were the classes of ACEs identified using 11 types of early adversities. The mediating variable was past-year major depressive disorder. We conducted a latent class analysis (LCA) to identify latent classes of ACEs, estimated the relationships between the ACEs classes, major depressive disorder, and SUD, and tested mediation by major depression. Results: Results of the LCA identified four classes of ACEs: High Adversity (6%), Low Adversity (69%), Child Abuse (16%), and Parental Substance Use (8%). The three classes of High Adversity, Child Abuse, and Parental Substance Use showed significantly higher rates of SUD than the Low Adversity class. The High Adversity and Child Abuse classes were more likely to have major depression compared to the Low Adversity class. In addition, major depression mediated the association between ACEs and SUD for those two classes. Conclusion: The findings provide evidence for a long-term impact of ACEs on mental health and SUD later in life and emphasize trauma-informed care principles in interventions for older adults with SUD.

Cities and counties worldwide have adopted the concept of “age-friendly communities.” These communities aspire to promote older adults’ well-being by providing a safe, affordable built environment and a social environment that encourages their participation. A major limitation in this field is the lack of valid and reliable measures that capture the complex dimensionality and dynamic nature of the aging–environment interface. This study uses data from the AARP 2016 Age-Friendly Community Surveys (N = 3,652 adults aged 65 and older). The survey includes 62 indicators of age-friendliness, for example, outdoor spaces, transportation, housing, social participation, and community and health services. We randomly split the sample into 2 equal subsamples for confirmatory factor analysis (CFA) and structural equation modeling (SEM). CFA results indicated that both the 5-factor model and the second-order factor model adequately fit the data. In the SEM 5-factor model, outdoor space (β = 0.134; p = .017), social participation (β = 0.307; p < .001), and community and health services (β = −0.149; p = .008) were associated with self-rated health, the outcome of interest. The path coefficients of housing and transportation were not significant. In the second-order factor model, people who lived in more age-friendly communities reported better self-rated health (β = 0.295; p < .001). Our findings show that the Age-Friendly Community Survey measures demonstrate reliability and concurrent validity. To promote older adults’ well-being, practitioners, policymakers, and researchers should focus on improving their built and social environments. They can use these measures for short- and long-term planning, monitoring, and evaluating age-friendly community initiatives.

As age-friendly community (AFC) initiatives grow, it will be essential to determine whether older adults who live in an AFC have better health than those who live in other environments. This study uses data from the 2017 AARP AFC Surveys and the AARP Livability Index to assess whether AFCs promote the health of older adults. We analyze data for 3027 adults aged 65 and older who reside in 262 zip code areas. Following AARP guidelines, we allocated the sample into two groups: an AFC group (livability score of 51+; n = 2364) and a non-AFC (score ≤ 50, n = 663). The outcome variable was self-rated health (M = 3.5; SD = 1.1; range: 1–5). We used an inverse probability weighting approach to evaluate whether older adults who live in an AFC reported better self-rated health than those who live in a non-AFC. Findings showed that older adults who lived in an AFC had better self-rated health than those in a non-AFC (b = 0.08, p = 0.027). Compared to non-Hispanic Whites, Black and Hispanic older adults reported worse self-rated health. Inasmuch as living in an AFC can promote the well-being of older adults, policymakers and practitioners should continue to develop and sustain high-quality, accessible built and social environments.

Background and Objectives: Research shows that living in segregated neighborhoods may have deleterious health outcomes via social, physical, and socioeconomic contexts that deepen existing inequities. However, there has been limited scholarship examining the effects of segregation on older adults, despite an increasing focus on aging in place. Guided by the Ecological Model of Aging, we examined the effects of segregation on older adults’ self-rated health and mental health, accounting for both individual characteristics and neighborhood opportunities and risks (e.g., social cohesion) and the potential moderating role of race and economic vulnerability. Research Design and Methods: We used data from the first 4 rounds of the National Health and Aging Trends Study (2011–2014) merged with tract-level census data for a final sample size of 3,084 community-dwelling older adults in urban areas. We conducted multivariate regression analyses after conditioning on residential location selection variables. Results: There was no significant association between neighborhood segregation and self-rated health or between segregation and anxiety and depression symptoms. Consistent with the literature, perceived social cohesion was protective of health in each model. Discussion and Implications: Our findings highlight the need for more rigorous research on segregation and older residents that utilize longitudinal and spatial data. Our findings also have implications for policies and programs that aim to support the ability to age in place for older adults who have different racial identities and live in different neighborhood contexts. Because social cohesion can be a protective factor for older adults’ health and mental health, policymakers and practitioners should support initiatives to increase social cohesion.

Background: Family members are involved in the decision-making process of advance care planning (ACP). However, there is limited evidence about how family caregiving situations affect engagement in ACP. Objective: To understand how agreement on caregiving situations and caregiving burdens are predictive of engagement in ACP of older adults. Design: Cross-sectional secondary data. Setting/Subjects: Subjects were nationally representative of adults ages 65 or older from the National Health and Aging Trends Study. Measurements: Informal engagement in ACP was measured based on whether respondents had discussed an end-of-life care option. The study involving formal engagement in ACP asked whether respondents have completed durable powers of attorney or living wills. Family members' agreement on caregiving situations and caregiving burdens were used to measure caregiving situations. We also include sociodemographic and health-related variables. Results: Higher levels of disagreement between family members concerning care for older adults were associated with engagement in formal ACP (odds ratio [OR] = 0.5); there were higher levels of caregiver burdens with engagement in formal ACP (OR = 1.1). The factors of being age 85 or older (OR = 2.2) and having fallen down in the previous year (OR = 1.9) were also related to formal engagement in ACP. Being white and having high school diplomas were associated with both informal and formal engagement in ACP. Conclusions: Caregiving situations may affect care recipients' decision-making regarding informal and formal engagement in ACP in different ways, suggesting different intervention strategies for different types of ACP.

This study examined how the interprofessional experience, including education and practice, affects graduate health science students’ attitudes toward interprofessional practice in health care teams. Data were collected from 227 graduate students, using the Attitudes toward Health Care Teams (ATHCT) scale. Both social work and other health science students had positive attitudes toward interprofessional collaboration with regard to its ability to improve the quality of a patient’s care. The results from hierarchical linear regression analyses demonstrated that female students, older students, and students with longer interprofessional practice experiences had more positive attitudes toward interprofessional collaboration in health care teams. Based on these results, implications for interprofessional education are discussed.