bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generational Differences in Support and Care of Individuals Diagnosed With Severe Mental Illness
Authors: Finkel Deborah , Bulöw Per , Bulöw Pia , Wilińska Monika , Torgé Cristina Joy , Bravell Marie Ernsth , Jegermalm Magnus 
Published: December 2020

Abstract
As part of the process of de-institutionalizing the Swedish mental health care system, a reform was implemented in 1995 moving responsibility for social support for people with severe mental illness (SMI) from the county to social services in the municipalities. In many ways, older people with SMI were neglected in this changing landscape of psychiatric care. To investigate possible generational differences in support experiences, two nonoverlapping cohorts were created from surveys conducted every fifth year between 1996 and 2011 in one middle-sized municipality in the south of Sweden, aiming to detect the needs for social support. Cohort 1 includes everyone detected at the 1996 survey aged 65 and 79 years (N = 92). Cohort 2 includes individuals first detected at the 2011 survey who were aged 65 to 79 (N = 104). Results indicates significant differences between the two cohorts in diagnosis, reflecting changes over time in diagnostic tendencies. Cohort 1 was on average 10 years older than Cohort 2, even within the restricted age range. After correcting for age, there were no differences between the two cohorts in education, functioning (CAN and GAF), or marital status. Although Cohort 1 experienced more days of institutionalization than Cohort 2 (median = 424.5 days vs. 382 days), the difference was not statistically significant. Cohort 2 had significantly higher additional subsidies and disposable income, as well as significantly higher income from other sources after retirement. Results indicate the changing demands that older adults with SMI will place on care systems.
Mental Health Issues in Massachusetts, New Hampshire, and Rhode Island: Findings From the Healthy Aging Data Reports
Authors: Jansen Taylor , Chunga Richard , Lee Chae Man , Wang Shuangshuang , Wang Haowei , Porell Frank , Silverstein Nina , Dugan Beth 
Published: December 2020

Abstract
Mental health issues in older adults are prevalent, yet often undetected or untreated and can contribute to poor physical health, increased disability, and higher mortality rates. The current study describes state and local community rates of mental health indicators of older adults 65+ in MA, NH, and RI. Data sources used to calculate rates were: the American Community Survey (2009-2013 RI, 2012-2016 MA and NH), the Medicare Current Beneficiary Summary File (2012-2013 RI, 2015 MA and NH), and the Behavioral Risk Factor Surveillance System (2012-2014 RI, 2013-2015 MA, and 2014-2016 NH). Small area estimation techniques were used to calculate age-sex adjusted community rates for more than 150 health indicators. This research examines disparities in rates for 3 mental health indicators depression, self-reported poor mental health, and self-reported poor/fair health status. Depression rates: MA 31.5% (19.91-48.82%), RI 30% (19.7-38.5%), and NH 28.8% (18.26-40.56%). Self-reported poor mental health: RI 7.5% (4.8-12.5%), MA 7.0% (2.10-16.59%), and NH 6.9% (3.42-10.13%). Self-reported fair/poor health: RI 20.4% (8.6-38.8%), MA 18.0%, (7.2-34.38%), and NH 16.5% (13.31-21.60%). Results showed variability in rates across states. MA had the highest rates of depression, the greatest differences in rates, and access to the most mental health providers. RI had the highest community rates for poor physical and mental health, and the highest percentage of residents age 85+. Understanding the distribution of community rates makes disparities evident, and may help practitioners and policymakers to allocate resources to areas of highest need. Research funded by the Tufts Health Plan Foundation.
Unmet Needs and Behavioral Expressions: The Perspective of Individuals with Mild to Moderate Dementia
Authors: Minyo Morgan , Judge Katherine 
Published: December 2020

Abstract
Research examining the illness experience from the perspective of individuals with dementia (IWDs) has gained increased attention. Previous studies suggest many IWDs experience unmet needs and behaviors that can impact their well-being. Most research has assessed these constructs using caregiver proxy-reports, resulting in underestimation of the amount and type of unmet needs. Additionally, no published studies have assessed self-reported behavioral expressions. As part of a larger study conducted in a memory care unit, the current pilot study examined the reliability of these measures along with examining how IWD’s experienced unmet needs, behaviors, and behavioral distress. Results found that individuals with mild to moderate dementia (n=12) were able to provide reliable self-report data about their own unmet needs (∝=.96), unmet need-related distress (∝=.98), and behavioral expressions (∝=.91). Nearly all participants identified at least one unmet need (74.8%). The highest reported unmet needs concerned health information (75.0%) and findings/arranging services (41.7%). The least reported unmet needs concerned daily living activities (16.7%) and legal/financial services (33.2%). The highest unmet needs related-distress concerned emotional support (41.7%) and the least distressing concerned daily living activities (16.7%). The most frequently reported behaviors included agitation (66.7%) and complaining/criticizing things (58.3%) while the least reported behaviors were refusing to be left alone (8.3%) and yelling/swearing (8.3%). The highest behavioral distress reported was agitation (58.3%) while the least was wandering (8.3%). Discussion will highlight how these results fit within current literature, recommendations for future research in exploring these constructs using self-report methodology, and how well-being outcomes may be impacted.
Together, We Can Make This Place Our Home: Civic Engagement Among Asian Immigrants
Authors: Bui Cindy , Kim Kyungmin , Song Qian , Jang Yuri 
Published: December 2020

Abstract
Civic engagement is an important dimension of age-friendly communities but has been understudied among Asian immigrant groups. While research has attributed greater civic engagement among immigrants to acculturation factors, the influence of acculturation may be conditioned upon Asian immigrants’ social network and place attachment to their city. We used data from the Asian American Quality of Life survey to analyze civic engagement activity (e.g., City council meeting, voting in a City election) among a diverse sample of middle-aged and older Asian immigrants in Austin, Texas (N = 994). 34.5% of the sample had participated in at least one civic engagement activity in the past 12 months. We examined how such civic engagement is associated with acculturation factors, and further examined whether one’s friend network and perception of their city moderated the association. We found that number of years lived in the U.S., familiarity with mainstream American culture, and number of friends in one’s social network were positively related to civic engagement activity. Furthermore, we found that the association between years lived in the U.S. and civic engagement was more pronounced for immigrants with larger friend networks; the association between familiarity with American culture and civic engagement was more pronounced for immigrants with more positive perceptions of the city. These findings highlight that acculturation may not operate alone in civic engagement among Asian immigrants. Rather, it may also be important to create opportunities for Asian immigrants to feel connected to their community and build meaningful friend networks to encourage civic engagement.
Protein Kinase C Downregulation upon Rapamycin Treatment Attenuates Neuroinflammation and Mitochondrial Disease
Authors: Grillo Anthony , Bitto Alessandro , Kaeberlein Matt 
Published: December 2020

Abstract
Mitochondrial dysfunction causes many poorly understood diseases, such as Leigh Syndrome, that are often caused by dysfunctions in proteins involved in the electron transport chain. My lab previously reported mTOR is pathologically involved in the neurodegenerative phenotype and premature death of mice missing the Complex I subunit Ndufs4 (Ndufs4-/- mice). We discovered treatment with rapamycin extends lifespan, reduces neuroinflammation, and attenuates the neurodegenerative phenotype in these mice, although the mechanisms remain unclear. Rapamycin-treated Ndufs4-/- mice exhibited decreased activation of the mTORC1 pathway. It also deactivated the mTORC2 pathway. We observed that phosphorylation of the canonical protein kinase C (PKC) isoforms (PKC-α, -β, and -γ) decreased more than any other kinases, leading us to hypothesize its deactivation contributes to the observed lifespan extension. To test this, we treated Ndufs4-/- mice with three different PKC inhibitors: the pan-PKC inhibitors GO6983 and GF109203X, and the PKC-β specific inhibitor ruboxistaurin. Similar to rapamycin, all three drugs were able to significantly delay the onset of neurological symptoms (i.e. clasping) and increase survival. We also observed that PKC-β inhibition reduced skin inflammation to suppress the hair loss phenotype displayed by Ndufs4-/- mice at weaning. We further discovered PKC-β inhibition reduces neuroinflammation by deactivating the NF-kB inflammatory pathway. These results suggest that mTORC2 may play a critical role in the etiology of mitochondrial diseases such as Leigh Syndrome.
Cognitive frailty in relation to adverse health outcomes independent of multimorbidity in Chinese older adults
Authors: Liu Zuyun , Chen Chen , Park Juyoung , Wu Chenkai , Xue Qian-Li , Agogo George , Han Ling , Wu Zunyou 
Published: December 2020

Abstract
Cognitive frailty was proposed in 2013 by an (I.A.N.A./I.A.G.G.) international consensus group; however, little is known about its status and associations with adverse health outcomes in China. The objectives of this study were to evaluate: 1) the associations of cognitive frailty with various health outcomes including disability, hospitalization, and death; 2) whether the associations differed by multimorbidity in Chinese older adults. We included 5113 Chinese older adults (aged 60+ years) who had baseline (2011 wave) cognition and physical frailty assessments and follow-up for 4 years from the China Health and Retirement Longitudinal Study. We found that about 16.0% had cognitive impairment; 6.7% had physical frailty; and 1.6% met criteria for cognitive frailty (having both cognitive impairment and physical frailty). Both cognitive impairment (odds ratios (ORs) range: 1.41 to 2.11) and physical frailty (ORs range: 1.51 to 2.43) were independently associated with basic activities of daily living (BADL), instrumental ADL (IADL), mobility disability, hospitalization, and death among participants without that corresponding outcome at baseline, even after accounting for covariates. Relative to participants who had normal cognition and were nonfrail, those with cognitive frailty had the highest risk for IADL disability (OR=3.40, 95% CI, 1.23–9.40) and death (OR=3.89, 95% CI, 2.25–6.47). We did not find significant interaction effects between cognitive frailty and multimorbidity (P for interactions&gt;0.05). Overall, cognitive frailty was associated with disability and death, independent of multimorbidity. This highlights the importance of assessing cognitive frailty in the community to promote primary and secondary preventions for healthy aging.
Trajectories in health in late midlife: disparities persist across racial/ethnic groups in US
Authors: Doza Adit , Summers Gail Jensen , Tarraf Wassim 
Published: December 2020

Abstract
Introduction: Recent research has revealed that during late midlife, Hispanics experience a lower mortality relative to non-Hispanic Whites (Whites), whereas non-Hispanic Blacks (Blacks) experience a higher mortality relative to Whites. Much less is known about whether there are also racial/ethnic disparities in patterns of how overall health changes during this period, and if so, whether personal lifestyle or economic characteristics that can explain it. We examine these important issues. Methods: Longitudinal and nationally representative data on adults ages 50-64 from the Health and Retirement Study are used for our analysis. Latent class discrete time and growth curve modeling are implemented to identify different types of “trajectories” in self-rated health and mortality across racial/ethnic groups and three distinct time periods, 1998-2004, 2004-2010, and 2010-2016. Additionally, multinomial logit models are estimated to determine whether Hispanics or Blacks experience different trajectory profiles than Whites do, and how different characteristics at baseline affect one’s own trajectory. Results: We identify five types of trajectories: “Poor-Health with Rapid Mortality,” “Sustained Poor-Health,” “Moderate-Health Back and Forth,” “Good-Health with Rapid Mortality,” and “Sustained Good-Health.” These specific types persist even after controlling for multiple health determinants. Discussion: We find significant and persistent differences across racial/ethnic groups in how health changes during late midlife. After controlling for a wide range of health determinants, Blacks and Hispanics are less likely than Whites to experience “Sustained Good-Health” and more likely to experience “Sustained Poor-Health” across all three time periods. Blacks are also consistently more likely to experience “Poor-Health with Rapid Mortality.”
Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults
Authors: Neyland Blake , Hugenschmidt Christina , Lockhart Samuel , Baker Laura , Craft Suzanne , Laurienti Paul , Kritchevsky Stephen 
Published: December 2020

Abstract
Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To assess the potential role of brain networks as a mechanism of mobility reserve, 116 participants with MRI from the Brain Networks and Mobility Function (B-NET) were categorized into 4 groups based on median splits of SPPB scores and WMH burden: Expected Healthy (EH: low WMH, SPPB&gt;10, N=45), Expected Impaired (EI: high WMH, SPPB10, N=24), Unexpected Impaired (EI: low WMH, SPPB&lt;10, N=10) and Unexpected Unhealthy (UH: low WMH, SPPB&lt;10, N=37). Functional brain networks were calculated using graph theory methods and white matter hyperintensities were quantified with the Lesion Segmentation Toolbox (LST) in SPM12. Somatomotor cortex community structure (SMC-CS) was similar between UH and EH with both having higher consistency than EI and UI. However, UH displayed a unique increase in second-order connections between the motor cortex and the anterior cingulate. It is possible that this increase in connections is a signal of higher reserve or resilience in UH participants and may indicate a mechanism of compensation in regards to mobility function and advanced WMH burden. These data suggest functional brain networks may be a mechanism for mobility resilience in older adults at mobility risk due to WMH burden.
Emotional Complexity In Daily Life: On The Role Of Emotional Dynamics, Age, & Culture
Authors: Choi Yoonseok , Lay Jennifer , Lu Minjie , Fung Helene , Hoppmann Christiane 
Published: December 2020

Abstract
Emotional complexity is a construct that has attracted significant interest in the aging literature. It often refers to two aspects — the co-occurrence of positive and negative emotions and emotion differentiation (experiencing emotions with specificity). Emotional complexity is thought to increase with aging. However, recent research points to inconsistent results showing a positive relationship between age and emotional complexity, non-significant associations and even negative relationships. The present study seeks to address this inconsistency in findings by examining three possible sources: 1) different indicators of emotional complexity, 2) age differences in emotional dynamics (individual differences in means & variability of momentary positive & negative emotions), and 3) differences in cultural backgrounds. Community-dwelling adults from Vancouver (96 older adults, 51 young adults; 56% of Asian heritage, 30% of Caucasian heritage, and others 14%) and in Hong Kong (56 older adults, 59 young adults; 100% Asian heritage) completed approximately 30 ecological momentary assessments over a 10-day period assessing their current emotional experiences. When the mean and variability of emotional experiences were controlled for, most emotional complexity measures showed a negative relationship with age indicating that older adults displayed lower emotional complexity compared to young adults. This pattern was consistent across participants of Asian and Caucasian heritage. Additional analyses will explore the link between different emotional complexity measures and well-being indicators. Our findings point to the need to provide a more nuanced perspective on the correlates and consequences of emotional complexity in old age.
Forecasting Individual Aging Trajectories and Survival with an Interpretable Network Model
Authors: Farrell Spencer , Mitnitski Arnold , Rockwood Kenneth , Rutenberg Andrew 
Published: December 2020

Abstract
We have built a computational model of individual aging trajectories of health and survival, containing physical, functional, and biological variables, conditioned on demographic, lifestyle, and medical background information. We combine techniques of modern machine learning with a network approach, where the health variables are coupled by an interaction network within a stochastic dynamical system. The resulting model is scalable to large longitudinal data sets, is predictive of individual high-dimensional health trajectories and survival, and infers an interpretable network of interactions between the health variables. The interaction network gives us the ability to identify which interactions between variables are used by the model, demonstrating that realistic physiological connections are inferred. We use English Longitudinal Study of Aging (ELSA) data to train our model and show that it performs better than standard linear models for health outcomes and survival, while also revealing the relevant interactions. Our model can be used to generate synthetic individuals that age realistically from input data at baseline, as well as the ability to probe future aging outcomes given an arbitrary initial health state.
The Role of Measurements Tools in the Association between Loneliness and Cognitive Decline
Authors: Cheon Ji Hyang 
Published: December 2020

Abstract
Previous findings on the association between loneliness and cognitive decline are mixed, with some studies indicating a significant association and others finding no statistical relationship. Since studies have used various inequivalent measurement tools, this might explain inconsistent findings on the relationship between loneliness and cognitive decline. This systematic review aims to 1) summarize the relationship between loneliness and cognitive decline and 2) examine whether the association varies depending on the measurement tools. This review’s inclusion criteria were studies with key terms loneliness as a predictor and global cognitive function as an outcome, peer-reviewed articles, written in English, involving community-dwelling older adults of ages 65 and older, and published since August 2013. Six out of ten studies showed that the relationship between loneliness and cognitive decline was statistically significant. Three reciprocal studies found that cognitive decline was a predictor of loneliness. Those studies that had nonsignificant findings used a single question to measure loneliness. Studies using the 23 item MMSE also reported non-significant association, whereas those using the 30 item MMSE had significant results. The findings indicate a bidirectional relationship derived from the studies with inconsistent results and the reciprocal studies and the potential role of measurement tools on the association’s change. This poster will conclude with the research implication that a systematic review of reciprocal studies is needed to clarify the bidirectional relationship of variables. Comparison studies of various measurement tools are needed to confirm the role of measurement tools on the result.
Acceptance Commitment Therapy Intervention for Custodial Grandfamilies
Authors: Faulhaber Manuela E , Zarling Amie , Lee Jeongeun 
Published: December 2020

Abstract
Millions of American children under the age of 18 are being cared for by their grandparents and without the presence of the biological parents. The number of custodial grandfamilies has significantly increased over the last five years. Recent studies have shown that custodial grandparents (CPGs) are often facing specific challenges in life, such as lower emotional well-being, higher parenting burden and stress related to this unique situation. Despite these findings, few interventions take a strengths based approach to improve their mental health and resilience. We describe our efforts to address these issues by proposing intervention anchored in the Acceptance and Commitment Therapy (ACT), emphasizing the importance of acceptance of challenging circumstances outside of one’s control and promoting resilience among participants. The program consists of a web based ACT program with online coaching meetings, six common core sessions and six separate sessions for each age group over a time period of six months. This program is unique in the sense that it utilizes both individual and group session techniques to facilitate the learning process. Main active ingredients of this program are to promote effective coping strategies, to reduce parenting stress among grandparents and to increase life skills (i.e., decision-making, proactivity) among grandchildren. We are hypothesizing that participating in the ACT program will help CGPs to improve self-efficacy, emotional well-being, higher self-confidence, social competence, lower depressive symptoms, and parenting distress, thereby leading to positive outcomes such as improved mental health and higher resilience.
Age Differences in Preferences for Fear-Enhancing Versus Fear-Reducing News in a Global Pandemic
Authors: Villalba Anthony , Stanley Jennifer , Turner Jennifer , Vale Michael 
Published: December 2020

Abstract
Older adults (OA) prefer positive over negative information in a lab setting, compared to young adults (i.e., positivity effects; YA). The extent to which OA avoid negative events or information relevant for their health and safety is not clear. We first investigated age differences in preferences for fear-enhancing versus fear-reducing news articles during the Ebola Outbreak of 2014. We built upon this pilot study to further investigate this research question during the COVID-19 pandemic. In this study, 164 YA (18-30 years) and 171 OA (60-80 years) responded to an online survey about their preferences, feelings, and behaviors related to the COVID-19 pandemic across 13-days during the initial peak of the pandemic in the United States. Both YA and OA preferred to read positive over negative news about the coronavirus, but OA were even more likely than YA to prefer the positive news article. No age differences in the fear of contraction were found, but OA engaged in more health-protective behaviors compared to YA. Additionally, media engagement was related to fear for both age groups, with social media engagement, specifically, emerging as a key moderating factor for protective behavior change. Although OA may not fear or seek out negative information related to a health concern; they still engage in more protective health behaviors compared to YA. In this study, positivity effects are shown to exist within a health-related event, but OA appeared to still attend to enough negative information about COVID-19 to avoid impairing their health protective behaviors.