Cognitive Aging in Same- and Different-Sex Relationships: Comparing Age of Diagnosis and Rate of Cognitive Decline in the Health and Retirement Study.

INTRODUCTION: The ongoing marginalization of lesbian, gay, and bisexual people has been hypothesized to produce poorer late-in-life cognitive outcomes, according to mechanisms posited by minority stress and allostatic load theories. Yet the existence of those outcomes remains understudied, and results of existing studies have been contradictory. Using a population-based longitudinal aging study, this paper will compare age at diagnosis of Alzheimer's disease (AD) or a related dementia and rates of cognitive decline between participants in same-sex relationships (SSRs) and different-sex relationships (DSRs). METHODS: The study used longitudinal cognitive-health data from the Health and Retirement Study (HRS; 1998-2018; N = 26,344) to analyze the onset of cognitive impairment and AD/dementia and the rates of cognitive change between participants in SSRs and those in DSRs. We hypothesized that SSR participants would have worse overall cognitive functioning in old age and would experience earlier onset of cognitive impairment. Using multiple regression, we compared the ages at which participants in SSRs and DSRs first reported AD or dementia diagnoses and the ages at which they first scored below cutoffs for cognitive impairment, not dementia (CIND) and possible dementia as determined using the cognitive assessment. The study then compared rates of cognitive decline over time across the SSR and DSR groups, including stratified analyses by education, race/ethnicity, wealth, and sex/gender. RESULTS: Participants in SSRs reported dementia diagnoses (ß = -12.346; p = 0.001), crossed the threshold into CIND (ß = -8.815; p < 0.001) and possible dementia (ß = -13.388; p < 0.001) at a younger age than participants in DSRs. When adjusted for covariates, participants in SSRs also had lower cognition at baseline (ß = 0.745; p = 0.003), though having slower rates of cognitive decline when SSR was interacted with time (ß = 0.066; p = 0.003). In separate analyses, cognitive differences for SSR participants were only found in participants without undergraduate degrees, with below-median household incomes, and women. CONCLUSION: Our findings support theories suggesting that marginalization and stigma cause premature cognitive impairment. Findings also suggest that higher education might mitigate the adverse effects of sexuality-minority status on cognitive aging. Results do not support these theories' claims of more rapid cognitive decline; the lower slopes of cognitive decline with time are compatible with the possibility of slower rates of decline for aging individuals in SSRs.

Cognitive Decline After Divorce and Widowhood: Is Marital Loss Always a Loss?

Background and Objectives: We used longitudinal data to determine whether the type of marital loss is associated with the rate of cognitive change before and after divorce or widowhood. Previous research found that relationship status was associated with older adults' cognitive performance: married persons performed better on memory assessments and had lower dementia risk than unmarried-cohabitating, never-married, divorced, and widowed persons. However, the end of a marriage may cause distress or reduce distress because a stressor disappears. Questions thus remain about the mechanisms by which marital change affects cognitive outcomes and, specifically, whether termination of marriage can improve cognitive performance for some. Research Design and Methods: Using data from the 1998-2016 waves of the Health and Retirement Study (N = 23,393), we conducted two analyses. First, we used trajectory analysis to create clusters of participants with similar cognitive trajectories and tested the association between participants' cluster membership and marital loss type. Second, we used multilevel modeling to analyze the relationship between participants' cognitive scores while married and following divorce or widowhood and linked these to marital features. Results: Participants who divorced showed no difference in trajectory distribution; widowed participants were more likely to be in the lower-performing and more quickly declining groups. Participants had lower rates of decline following divorce (ß = .136, p < .001), while widowed participants had accelerated decline following spousal death (ß = -0.183, p < .001) and an immediate decline following spousal death (ß = -0.113, p = .028). Discussion and Implications: We found that the type of marital loss was important, and predicted improvements in cognition for some and decrements for others, with individuals who were divorced performing best while those who were widowed or separated but not divorced performing worse.

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.

BACKGROUND: Researchers are increasingly interested in better methods for assessing the pace of aging in older adults, including vocal analysis. The present study sought to determine whether paralinguistic vocal attributes improve estimates of the age and risk of mortality in older adults. METHODS: To measure vocal age, we curated interviews provided by male U.S. World War II Veterans in the Library of Congress collection. We used diarization to identify speakers and measure vocal features and matched recording data to mortality information. Veterans (N = 2 447) were randomly split into testing (n = 1 467) and validation (n = 980) subsets to generate estimations of vocal age and years of life remaining. Results were replicated to examine out-of-sample utility using Korean War Veterans (N = 352). RESULTS: World War II Veterans' average age was 86.08 at the time of recording and 91.28 at the time of death. Overall, 7.4% were prisoners of war, 43.3% were Army Veterans, and 29.3% were drafted. Vocal age estimates (mean absolute error = 3.255) were within 5 years of chronological age, 78.5% of the time. With chronological age held constant, older vocal age estimation was correlated with shorter life expectancy (aHR = 1.10; 95% confidence interval: 1.06-1.15; p < .001), even when adjusting for age at vocal assessment. CONCLUSIONS: Computational analyses reduced estimation error by 71.94% (approximately 8 years) and produced vocal age estimates that were correlated with both age and predicted time until death when age was held constant. Paralinguistic analyses augment other assessments for individuals when oral patient histories are recorded.

Obesity in Late-Life as a Protective Factor Against Dementia and Dementia-Related Mortality.

OBJECTIVE: We estimated the conversion from cognitively normal to mild cognitive impairment (MCI) to probable dementia and death for underweight, normal, overweight, and obese older adults, where the timing of examinations is associated with the severity of dementia. METHODS: We analyzed six waves of the National Health and Aging Trends Study (NHATS). Body mass (BMI) was computed from height and weight. Multi-state survival models (MSMs) examined misclassification probability, time-to-event ratios, and cognitive decline. RESULTS: Participants (n = 6078) were 77 years old, 62% had overweight and/or obese BMI. After adjusting for the effects of cardiometabolic factors, age, sex, and race, obesity was protective against developing dementia (aHR=.44; 95%CI [.29-.67]) and dementia-related mortality (aHR=.63; 95%CI [.42-.95]). DISCUSSION: We found a negative relationship between obesity and dementia and dementia-related mortality, a finding that has been underreported in the literature. The continuing obesity epidemic might complicate the diagnosis and treatment of dementia.

Ask Again: Including Gender Identity in Longitudinal Studies of Aging.

Information on transgender people's health, and especially their experiences of aging, is lacking, including from major longitudinal studies of aging like the Health and Retirement Study and its sister studies in the Gateway to Global Aging Data project. This paper surveys the state of gender data collection among major longitudinal studies and finds that all but one fail to collect adequate information on participants' gender to determine participants' gender identities. It identifies the unique challenges that population-wide longitudinal data collection poses to current best practices for identifying transgender survey participants and proposes a modified "two-question model": one question for sex assigned at birth and a second for gender identity, both of which offer 3 responses.