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Objectives: Volunteering promotes well-being and may provide added purpose to life after retirement. Limited evidence exists regarding the characteristics and study adherence among those who participate in longitudinal studies while also volunteering outside the study. We assessed characteristics and adherence of older adults who volunteered outside of participation in a regular monthly cognitive monitoring study. Method: All 124 participants with complete data were included. Participants were from a regular cognitive monitoring study that required completion of a 15-min monthly online cognitive assessment. Analysis of covariance and logistic regression analysis were performed to examine differences between volunteers and non-volunteers. Results: Those who volunteered outside the study were significantly less likely to be college-educated (although all participants were highly educated) but the two groups were cognitively similar. Volunteers had significantly lower scores for neuroticism. Those who volunteered also were significantly less likely to drop out but had poorer study adherence. The most frequent type of volunteering was religious activities. Volunteers were motivated mainly by altruism, although most reported multiple reasons. Conclusion: Older adults who enroll in a longitudinal research study and volunteer outside the study have similar personal characteristics as those who opt out of additional volunteering, with somewhat less education and more favorable personality traits. However, they may be more likely to drop out and need more reminders. Therefore, those who volunteer outside a study may need more attention from study administrators and potentially a more individualized schedule that works around their volunteer obligations.

As rates of obesity continue to rise, so does the impact of obesity on cognitive function. Engaging in physical activity is one pathway through which individuals can help maintain cognitive function. This study examined whether any link between exercise and cognitive function was associated with weight characteristics. Data from 6,012 participants in the Health and Retirement Study were used. The association between participation in light or moderate physical activity and better cognitive function was particularly strong for overweight or obese adults and less so for those who were normal weight. Overall, the findings suggested that while being physically active is associated with better cognitive function regardless of weight, the associations were stronger for individuals who were overweight/obese compared with those who were normal weight. Given the results were particularly pronounced for waist circumference (relative to body mass index), further research should be conducted to examine if individuals with greater abdominal adiposity may benefit most from staying active in terms of their cognitive function. [ABSTRACT FROM AUTHOR]

University-based retirement communities (UBRCs) are a relatively recent addition to housing options for older adults. The case example of a new UBRC, Mirabella at Arizona State University (ASU), is presented within the context of Age-Friendly University (AFU) principles and New American University design aspirations. We provide an overview of the planning process, describe initial collaborations between Mirabella and research faculty, and outline areas of overlap and distinction between Mirabella's approach and other UBRCs, AFU principles, and the design aspirations of the New American University model. Empirical investigations are needed to identify key characteristics of UBRCs that facilitate university integration and how those characteristics impact individual, community, and university level outcomes. [ABSTRACT FROM AUTHOR]

Complaints represent an important metric for assessing the quality of nursing home (NH) care. Using the Automated Survey Processing Environment (ASPEN) Complaints/Incidents Tracking System dataset (2017), we examined the relationships between zero-deficiency complaints (ZDCs) and zero-deficiency substantiated complaints (ZDSCs) and the proportion of residents with dementia. NHs (N = 15,339) were separated into three groups—proportion of residents with dementia in the top, two middle, and the bottom quartiles. Negative binomial regressions assessed zero-deficiency complaint patterns in relation to NHs' proportion of residents with dementia, controlling for facility characteristics, staffing, and racial pattern. We reported average marginal effects (AMEs) and 95% confidence intervals (CIs). NHs in the top quartile yielded higher numbers of both ZDC (AME =.189, 95% CI :.102−.276, p <.001) and ZDSC (AME =.236, 95% CI :.094−.378, p =.001), than NHs in the bottom quartile. Results suggest a need for more uniform investigation processes and staff training to promote a more valid complaint process for residents with dementia. [ABSTRACT FROM AUTHOR]

Objectives "SuperAgers" are generally defined as people 80+ years old with episodic memory performance comparable to those 20 years younger. Limited knowledge exists to describe characteristics of SuperAgers, with even less known about Hispanic SuperAgers. Methods We examined indicators of cognitive, physical, and psychological resilience in relation to the likelihood of being a SuperAger using data from 2 population-based studies of Hispanic older adults (Puerto Rican Elderly: Health Conditions [PREHCO] Study; Health and Retirement Study [HRS]). SuperAgers were defined as (1) ≥80 years old, (2) recall scores ≥ the median for Hispanic respondents aged 55–64, and (3) no cognitive impairment during the observation period. Overall, 640 PREHCO participants and 180 HRS participants were eligible, of whom 45 (7%) and 31 (17%) met SuperAging criteria. Results Logistic regressions controlling for age and sex demonstrated that higher education (PREHCO: odds ratio [OR] = 1.20, p  < .001; HRS: OR = 1.14, p  = .044) and fewer instrumental activities of daily living limitations (PREHCO: OR = 0.79, p  = .019; HRS: OR = 0.58, p  = .077; cognitive resilience), fewer activities of daily living limitations (PREHCO: OR = 0.72, p  = .031; HRS: OR = 0.67, p  = .068; physical resilience), and fewer depressive symptoms (PREHCO: OR = 0.84, p  = .015; HRS: OR = 0.69, p  = .007; psychological resilience) were associated with SuperAging, although not all results reached threshold for statistical significance, presumably due to low statistical power. Additionally, known indicators of physical health (e.g. chronic conditions and self-rated health) did not relate to SuperAging. Discussion Increasing access to education and recognizing/treating depressive symptoms represent potential pathways to preserve episodic memory among older Hispanic adults. [ABSTRACT FROM AUTHOR]

Background and Objectives Sleep disorders often predict or co-occur with cognitive decline. Yet, little is known about how the relationship unfolds among older adults at risk for cognitive decline. To examine the associations of sleep disorders with cognitive decline in older adults with unimpaired cognition or impaired cognition (mild cognitive impairment and dementia). Research Design and Methods A total of 5,822 participants (M age = 70) of the National Alzheimer's Coordinating Center database with unimpaired or impaired cognition were followed for 3 subsequent waves. Four types of clinician-diagnosed sleep disorders were reported: sleep apnea, hyposomnia/insomnia, REM sleep behavior disorder, or "other." Cognition over time was measured by the Montreal Cognitive Assessment (MoCA) or an estimate of general cognitive ability (GCA) derived from scores based on 12 neuropsychological tests. Growth curve models were estimated adjusting for covariates. Results In participants with impaired cognition, baseline sleep apnea was related to better baseline MoCA performance (b  = 0.65, 95% confidence interval [95% CI] = [0.07, 1.23]) and less decline in GCA over time (b  = 0.06, 95% CI = [0.001, 0.12]). Baseline insomnia was related to better baseline MoCA (b  = 1.54, 95% CI = [0.88, 2.21]) and less decline in MoCA over time (b  = 0.56, 95% CI = [0.20, 0.92]). Furthermore, having more sleep disorders (across the 4 types) at baseline predicted better baseline MoCA and GCA, and less decline in MoCA and GCA over time. These results were only found in those with impaired cognition and generally consistent when using self-reported symptoms of sleep apnea or insomnia. Discussion and Implications Participants with sleep disorder diagnoses may have better access to healthcare, which may help maintain cognition through improved sleep. [ABSTRACT FROM AUTHOR]

Background Having multiple sleep problems is common in adulthood. Yet, most studies have assessed single sleep variables at one timepoint, potentially misinterpreting health consequences of co-occurring sleep problems that may change over time. We investigated the relationship between multidimensional sleep health across adulthood and mortality. Methods Participants from the Midlife in the United States Study reported sleep characteristics in 2004–2006 (MIDUS-2; M2) and in 2013–2014 (MIDUS-3; M3). We calculated a composite score of sleep health problems across 5 dimensions: Regularity, Satisfaction, Alertness, Efficiency, and Duration (higher = more problems). Two separate models for baseline sleep health (n  = 5 140; median follow-up time = 15.3 years) and change in sleep health (n  = 2 991; median follow-up time = 6.4 years) to mortality were conducted. Cox regression models controlled for sociodemographics and key health risk factors (body mass index, smoking, depressive symptoms, diabetes, and hypertension). Results On average, 88% of the sample reported having one or more sleep health problems at M2. Each additional sleep health problem at M2 was associated with 12% greater risk of all-cause mortality (hazard ratio [HR] = 1.12, 95% confidence interval [CI] = 1.04–1.21), but not heart disease-related mortality (HR = 1.14, 95% CI = 0.99–1.31). An increase in sleep health problems from M2 to M3 was associated with 27% greater risk of all-cause mortality (HR = 1.27, 95% CI = 1.005–1.59), and 153% greater risk of heart disease mortality (HR = 2.53, 95% CI = 1.37–4.68). Conclusions More sleep health problems may increase the risk of early mortality. Sleep health in middle and older adulthood is a vital sign that can be assessed at medical checkups to identify those at greater risk. [ABSTRACT FROM AUTHOR]

Objectives: Nursing home (NH) residents' capacity to communicate deteriorates with dementia. Consequently, NHs with high proportions of people living with dementia (PLWD) may receive fewer resident complaints, and/or investigating complaints may be challenging. We assessed NHs' proportion of PLWD in relation to total and substantiated complaints. Methods: Data were from the ASPEN Complaints/Incident Tracking System and the Certification and Survey Provider Enhanced Reports (2017). NHs (N = 15,499) were categorized based on high (top-10%), medium (middle-80%), and low (bottom-10%) dementia prevalence. Negative binomial Poisson regression assessed complaint patterns in relation to NHs' high/low (vs. medium) proportions of PLWD and other facility/resident characteristics. Results: Compared to NHs with medium-dementia prevalence, NHs with low proportions of PLWD had higher total (average marginal effect [AME] = 0.16, p < 0.001) and substantiated (AME = 0.30, p < 0.001) complaints, whereas NHs with high proportions of PLWD had fewer total (AME= −0.07; p < 0.05) and substantiated (AME= −0.11, p < 0.05) complaints. Also, NHs' profit status, chain-affiliation, size, staffing, and resident ethnicity were associated with total and substantiated complaints. Conclusion: The association between high proportions of PLWD and lower NH complaints suggests either that these NHs have higher overall quality or that complaints are underreported. Regardless, surveyors and families may need more involvement in monitoring higher dementia prevalence facilities. [ABSTRACT FROM AUTHOR]

Background To examine cross-sectional differences and longitudinal changes in cognitive performance based on the presence of mild behavioral impairment (MBI) among older adults who are cognitively healthy or have mild cognitive impairment (MCI). Methods Secondary data analysis of participants (n = 17 291) who were cognitively healthy (n = 11 771) or diagnosed with MCI (n = 5 520) from the National Alzheimer's Coordinating Center database. Overall, 24.7% of the sample met the criteria for MBI. Cognition was examined through a neuropsychological battery that assessed attention, episodic memory, executive function, language, visuospatial ability, and processing speed. Results Older adults with MBI, regardless of whether they were cognitively healthy or diagnosed with MCI, performed significantly worse at baseline on tasks for attention, episodic memory, executive function, language, and processing speed and exhibited greater longitudinal declines on tasks of attention, episodic memory, language, and processing speed. Cognitively healthy older adults with MBI performed significantly worse than those who were cognitively healthy without MBI on tasks of visuospatial ability at baseline and on tasks of processing speed across time. Older adults with MCI and MBI performed significantly worse than those with only MCI on executive function at baseline and visuospatial ability and processing speed tasks across time. Conclusions This study found evidence that MBI is related to poorer cognitive performance cross-sectionally and longitudinally. Additionally, those with MBI and MCI performed worse across multiple tasks of cognition both cross-sectionally and across time. These results provide support for MBI being uniquely associated with different aspects of cognition. [ABSTRACT FROM AUTHOR]

We examined the effect of Winter Storm Uri on daily direct-care nurse staffing levels in 1,173 Texas nursing homes (NHs) from February 13th to 19th, 2021. We used data from Payroll-Based Journaling and the Care Compare website. Linear mixed effects models were used to estimate the linear and non-linear change in staffing. During Winter Storm Uri, Texas NHs experienced a linear decrease in daily staffing levels with subsequent non-linear increase for registered nurses (RNs; p <.001) and certified nursing assistants (CNAs; p <.001), and staffing increased linearly for licensed practical nurses (LPNs; p <.001). Compared to 1 week before the storm, Texas NHs reported lower staffing levels across all three types of staff, but most dramatically among LPNs and CNAs. In supplemental analyses, urban and lower quality NHs fared slightly poorer than rural and higher-quality NHs. Winter storms pose a particular challenge to NHs and their ability to maintain direct-care nurse staffing levels. [ABSTRACT FROM AUTHOR]

Background: Retirement represents a crucial transitional period for many adults with possible consequences for cognitive aging. We examined trajectories of cognitive change before and after retirement in Black and White adults. Methods: Longitudinal examination of up to 10 years (mean = 7.1 ± 2.2 years) using data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study–a national, longitudinal study of Black and White adults ≥45 years of age. Data were from 2226 members of the REGARDS study who retired around the time when an occupational ancillary survey was administered. Cognitive function was an average of z‐scores for tests of verbal fluency, memory, and global function. Results: Cognitive functioning was stable before retirement (Estimate = 0.05, p = 0.322), followed by a significant decline after retirement (Estimate = −0.15, p < 0.001). The decline was particularly pronounced in White (Estimate = −0.19, p < 0.001) compared with Black (Estimate = −0.07, p = 0.077) participants, twice as large in men (Estimate = −0.20, p < 0.001) compared with women (Estimate = −0.11, p < 0.001), highest among White men (Estimate = −0.22, p < 0.001) and lowest in Black women (Estimate = −0.04, p = 0.457). Greater post‐retirement cognitive decline was also observed among participants who attended college (Estimate = −0.14, p = 0.016). While greater work complexity (Estimate = 0.92, p < 0.05) and higher income (Estimate = 1.03, p < 0.05) were related to better cognitive function at retirement, neither was significantly related to cognitive change after retirement. Conclusion: Cognitive functioning may decline at an accelerated rate immediately post‐retirement, more so in White adults and men than Black adults and women. Lifelong structural inequalities including occupational segregation and other social determinants of cognitive health may obscure the role of retirement in cognitive aging. [ABSTRACT FROM AUTHOR]

Objectives. Volunteering promotes well-being and may provide added purpose to life after retirement. Limited evidence exists regarding the characteristics and study adherence among those who participate in longitudinal studies while also volunteering outside the study. We assessed characteristics and adherence of older adults who volunteered outside of participation in a regular monthly cognitive monitoring study. Method. All 124 participants with complete data were included. Participants were from a regular cognitive monitoring study that required completion of a 15-min monthly online cognitive assessment. Analysis of covariance and logistic regression analysis were performed to examine differences between volunteers and nonvolunteers. Results. Those who volunteered outside the study were significantly less likely to be college-educated (although all participants were highly educated) but the two groups were cognitively similar. Volunteers had significantly lower scores for neuroticism. Those who volunteered also were significantly less likely to drop out but had poorer study adherence. The most frequent type of volunteering was religious activities. Volunteers were motivated mainly by altruism, although most reported multiple reasons. Conclusion. Older adults who enroll in a longitudinal research study and volunteer outside the study have similar personal characteristics as those who opt out of additional volunteering, with somewhat less education and more favorable personality traits. However, they may be more likely to drop out and need more reminders. Therefore, those who volunteer outside a study may need more attention from study administrators and potentially a more individualized schedule that works around their volunteer obligations. [ABSTRACT FROM AUTHOR]

The authors aimed to use the newly developed Opioid Risk Stratification Tool to identify individuals who may be at risk for unhealthy opioid use and to examine the impact of applying a mailing and engagement intervention to this population and their prescribers, with the goal of reducing high-risk prescribing behaviors, opioid medication use, and mortality rates. A nonrandomized controlled study was conducted with members from two Medicaid managed care organizations. In both the intervention (N=131) and control (N=187) groups, an algorithm identified members at moderate to high risk for hazardous opioid use. Members at increased risk in the intervention group and their prescribers received a letter from the managed care organization, and members still at risk 3 months after the mailing were contacted by a care coordinator. Individuals in the control group were not contacted. Medicaid claims data were used to compare opioid use and prescribing practices between groups before and after the intervention. Individuals in the intervention group were less likely to have any opioid prescription postintervention compared with those in the control group (OR=0.55, p<0.001), and the intervention group had a greater reduction in the number of individuals with concurrent opioid and benzodiazepine prescriptions (OR=0.49, p=0.042). Practices such as multiple opioid prescriptions and multiple prescribers of opioids were not affected by the intervention. An intervention targeting individuals at risk for hazardous opioid use was associated with a reduction in some high-risk prescribing practices. Future research should determine the ideal mix of interventions to reduce as many risk factors as possible. [ABSTRACT FROM AUTHOR]