bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personality and Socioeconomic Predictors of Midlife Cognitive Functioning in Mexican-Origin Adults
Authors: Lawson Katherine , Sutin Angelina , Robins Richard 
Published: December 2021

Abstract
The present study aims to identify personality and socioeconomic (e.g., education, per capita income, economic stress) factors that contribute to midlife cognitive functioning across middle adulthood. Specifically, we examined how the growth trajectories of personality and socioeconomic factors across 12 years predict subsequent cognitive functioning, using data from a large sample of Mexican-origin adults (N=1,110; median age at Time 1=37 years, age range at Time 1=26-65). Personality was assessed using the Big Five Inventory, which assesses the Big Five domains as well as specific facets of each domain; economic stress was assessed using measures of negative economic events (e.g., job loss) and economic hardship (e.g., difficulty paying bills). Cognitive functioning was assessed using the NIH Cognitive Toolbox with measures of memory, language, and executive function. Findings from this work will help identify intervention targets for promoting healthy cognitive aging in midlife and beyond in Mexican-origin adults.
Toward a Model of Age Inclusivity in Higher Education
Authors: Whitbourne Susan 
Published: December 2021

Abstract
The AFU principles clearly state the aspiration of promoting age inclusivity in higher education within the context of the UN Sustainability Development Goals. With these principles as a starting point, the Age-Friendly Campus Climate Inventory and Survey were developed to assess the extent to which AFU principles are put into practice (Inventory) and how campus constituencies perceive these practices. Based on social ecological models, a framework for measuring age inclusivity was developed in which practices ("objective environment") are compared to perceptions ("subjective environment"). Participating campuses (N=29) completed the inventory for each major executive unit, providing scores that were grouped by major campus functions, including research, teaching, community engagement, and support. By comparing these scores with perceptions of each function by samples of constituencies of faculty, staff, and students, it is possible to test the person-environment match as conceptualized by social ecological models providing important clarification for the AFU principles.
Observations and Recommendations Toward Increasing Age-Inclusivity
Authors: Silverstein Nina 
Published: December 2021

Abstract
Some areas of current campus practice better align with AFU principles than others. It may be that age-friendly practices already implemented by campus administrators are either not sufficiently publicized or that the campus constituents are not aware that these accommodations are in place. Specifically, staff members in these institutions appear to have markedly different perceptions of an institutions’ overall age-friendliness than did students and faculty. Lower ratings of age-friendliness by staff suggest that the experiences of ageism could contribute to negative outcomes such as stress and burnout. In line with Sustainable Development Goals (SDGs) in the evaluation of campus sustainability efforts, aging should be addressed along with other elements of diversity, equity, and inclusion. There is also a need to support faculty development for designing courses and materials for age-diverse learners. Finally, campuses might organize age-inclusivity task forces and regularly reassess their age-friendly progress.
Plasma Long Chain Fatty Acids and Cognitive Function in Older Adults: A Comparison of Statistical Analyses
Authors: Duchaine Caroline , Carmichael Pierre-Hugues , Presse Nancy , Fiocco Alexandra , Gaudreau Pierrette , Ferland Guylaine , Laurin Danielle 
Published: December 2021

Abstract
Omega-3 fatty acids (FAs) have been suggested as modifiable protective factors for cognitive decline because of their neuroprotective properties. However, the evidence is still inconsistent regarding types of omega-3 FAs, and the probable interrelation with other circulating long chain FAs (LCFAs). This study aimed to evaluate associations between 14 plasma LCFAs and four cognitive domains using a principal component analysis (PCA) and to compare results with those obtained using standard methods. A group of 386 healthy older adults aged 77 ± 4 years (53% women), selected from the NutCog Study, a sub-study from the Québec cohort on Nutrition and Successful Aging (NuAge), underwent a cognitive evaluation and fasting blood sampling. Verbal and non-verbal episodic memory, executive functioning, and processing speed were evaluated using validated tests. LCFAs circulating concentrations were measured by high-performance liquid chromatography using published procedures. Linear regressions adjusted for age, sex, education, and BMI were used to evaluate cross-sectional associations between LCFAs, using PCA or a more standard grouping (omega-3, omega-6, monounsaturated, and saturated LCFAs), and cognitive performance. Higher scoring on the omega-3 PCA factor and higher concentrations of total omega-3 FAs were both associated with better episodic non-verbal memory and processing speed. Higher eicosapentaenoic acid (EPA omega-3) was also associated with these two cognitive domains and with episodic verbal memory. The associations with total omega-3 FAs taken separately were of smaller magnitude than those with PCA. These results suggest that omega-3 FAs should be considered in combination with other LCFAs when evaluating the association with cognitive function.
Factors Associated With Nursing Home Residents’ COVID-19 Infections: A Systematic Review of Literature
Authors: Yin Cheng , Li Xiaoli , Zhan Rongfang , ONeill Liam 
Published: December 2021

Abstract
Background: Nursing homes were impacted disproportionately by the coronavirus because of their resident’s vulnerabilities and settings. Even many previous studies illustrated factors related to nursing home residents’ Covid-19 infections, there’s no such study epitomizing those factors systematically, while some factors were controversial in different studies. The article aims to summarize major types of factors and provide crucially influential implications for nursing homes to prevent and manage their resident infections. Methods: All articles published between 01 January 2020 - 15 January 2021 in English version were searched through three electronic databases (PubMed, Web of Science, and Scopus). Two authors screened and evaluated a total of 121 studies independently based on selection and extraction criteria. Results: Seventeen identified studies were included in the research, which involved five major types of factors (nursing home’s residence, nursing home, staff, resident, and others). Conclusion: nursing home’s county infection rate, size, and staff residence were the strongest significant factors in many studies. Per-capital income, symptom-based screening and testing, and asymptomatic individuals have impacted resident’s infections variously since the beginning of the pandemic. Nursing home’s star rating and a total count of fines became factors when considered its locations. Other factors, including nursing home’s type, historical health deficiencies, staffing level, and staff working different facilities, etc., were also significant factors. The value of factors suggests healthcare systems reflect appropriate measures and allocate more resources to nursing homes in high prevalence counties on the basis of universal allocation.
Rich and Balanced Experiences of Daily Emotions Are Associated With Activity Diversity Across Adulthood
Authors: Lee Soomi , Urban-Wojcik Emily , Charles Susan , Almeida David 
Published: December 2021

Abstract
We examined whether the diversity of daily activities (“activity diversity”) is associated with the diversity of daily emotions (“emodiversity”) and if the association differs by age. Two samples of adults from the Midlife in the United States Study provided activity and emotion data for eight days. Greater activity diversity was associated with greater positive and negative emodiversity in each sample. Age moderated the association between activity diversity and positive emodiversity in an older sample, such that association was stronger for younger adults than for older adults. Results from data combining the two samples revealed that the associations of activity diversity with positive or negative emodiversity were significant when age &lt; 70, 71 years, respectively. Broad and even participation of daily activities may provide more opportunities to experience rich and balanced emotions in adulthood. The weaker associations in older age may suggest the need to promote active lifestyles in later life.
A Comparative Assessment of Long-Term Care Financing and Service Delivery Models
Authors: Polivka Larry , Polivka-West LuMarie 
Published: December 2021

Abstract
The face of public long term care (LTC) funded largely through the Medicaid program is changing rapidly in the U.S. Over the last decade, most states have moved to managed LTC programs in various forms, with a growing number transferring all their programs, home and community based (HCBS) and nursing home services, to a Medicaid (MLTC) model. The amount of rigorously conducted and reported evaluation results on these programs are still very limited. Enough information is available, however, from other sources for at least preliminary comparison of relative cost-effectiveness of MLTC vs. traditional, non-profit models of public LTC services delivery and financing, as discussed in this paper. This comparison will show that, at this point, the MLTC programs are not more cost-effective than the traditional model of LTC administration. In fact, these initial assessments seem to indicate that the traditional model may be superior to the corporate for-profit MLTC model.
Information Seeking During the Pandemic: The Role of Age, Agency, and Fake News Concerns
Authors: Pearman Ann , Hughes MacKenzie , Coblenz Clara 
Published: December 2021

Abstract
COVID-19 brought rapid changes to the way in which people understand and process news, including both information and misinformation about the pandemic. This cross-sectional study was designed to examine persons’ experiences during the earliest months of the pandemic. The sample included 871 adults ages 20-79 (M=38.27 years, SD=11.40). Online surveys were collected between March and May, 2020 using Amazon Mechanical Turk. Participants completed a series of questionnaires, including a measure of agency from the Midlife Development Inventory, a questionnaire that assessed level of skepticism about the COVID-19 pandemic (i.e. fake news beliefs), a depression scale, a question about their level of anxiety about developing COVID-19, and questions about the frequency in which they sought information about the pandemic from different sources (e.g., TV, social media). A multiple regression using information seeking frequency as the outcome variable revealed several significant relationships. Specifically, younger adults, people with higher agency, and people with higher fake news beliefs all reported higher levels of COVID-19-related information seeking. In addition, there was a significant 3-way interaction between age, agency, and fake news beliefs. Disentangling this interaction revealed that older adults with low agency were least likely to engage in information seeking. There were, however, no age differences in information seeking in participants with high agency and fake news beliefs, but large age differences in participants with low agency but high fake news beliefs. Findings suggest agency is an important predictor of information seeking behavior, particularly for older adults with high levels of skepticism about the pandemic.
A Community-Based System Dynamics Study of the Senior Community Service Employment Program
Authors: Halvorsen Cal , Werner Kelsey , McColloch Elizabeth 
Published: December 2021

Abstract
The Senior Community Service Employment Program (SCSEP), the only federal workforce-training program that targets older adults, engages people aged 55 years and older with incomes at or below 125% of the federal poverty level with multiple barriers to employment. This study examined SCSEP’s role in participant financial, physical, and mental well-being. To do so, we held five sessions (four virtual, one telephone) over a combined nine hours in August and September 2020 using a form of participatory research called community-based system dynamics with 15 Massachusetts SCSEP participants and case managers. Through structured activities, respondents identified how program, policy, and organizational factors influence and are influenced by participant well-being (e.g., SCSEP participation results in less social isolation, decreased isolation subsequently increases desire to participate) as well as program and policy recommendations to strengthen the program (e.g., reconsider benchmarks of success). These findings highlight the benefits and potential of this long-running program.
Geriatric Oncology in the Instagram Era: PhotoVoice to Enable Patient-Centered Care and Shared Decision Making
Authors: Blackberry Irene , Steer Christopher , Rasekaba Tshepo , Young Kim , Webb Nicole , Jayasuriya Darren , Owen Kylie , Kapur Mira 
Published: December 2021

Abstract
Evidence shows that multidimensional assessment of older adults with cancer yields more holistic care and results in better communication about age-related concerns; as well as enables personalised, patient-centered supportive care. Geriatric assessment (GA) captures clinical, physical and psychological factors, with limited opportunity to gather information about the patient’s environment, personal contexts and priorities. We trialed the feasibility and acceptability of geriatric assessment (GA)-guided enhanced supportive care (ESC) among 20 adults aged over 70 years in a regional cancer center. We then studied the impact of the integration of four patient-derived photographs (with PhotoVoice analysis) to this ESC on patient satisfaction with communication with the oncologist regarding age-related concerns and on facilitating empowerment, patient-centered care and shared decision making. The use of PhotoVoice analysis of patient-derived photographs is a novel strategy that can facilitate gathering patient-centered information during the assessment process.
Driving Habits of Older Adults in Massachusetts: Variations by Sex, Age, Race, Income, Housing Density, and Health
Authors: Li Wenjun , ProcterGray Elizabeth , Kane Kevin , Cheng Jie , Clarke Anthony 
Published: December 2021

Abstract
Maintaining ability to drive is critical to independent living among older adults residing in suburban and rural communities. We administrated structured questionnaire about driving behaviors to 370 persons age 65 and older living in Central Massachusetts between 2018 and 2020. Of them, 307 were active drivers. Driving in the past year was strongly associated with being male, White race, higher income, non-urban resident, and good-to-excellent health. Advancing age was associated with lower frequency of driving, less miles driven, lower percentage of the day spent in transportation. Men and women drove with nearly equal frequency (~26 days/month), but men drove significantly more miles. Non-White drivers were significantly more likely to avoid driving out of town or in difficult conditions, even after controlling for age, sex, income, and density of residential area. In conclusion, driving behaviors differed significantly by age, sex, income, race, and housing density. Further investigation is warranted.
Race, Ethnicity, and Social Engagement Among Community-Dwelling Older Adults: The Health and Retirement Study
Authors: Quach Lien 
Published: December 2021

Abstract
Social engagement is crucial for older adults. This study examines the relationship between race, ethnicity, and social engagement among community-dwelling older adults using data came from the Health and Retirement Study (2014) (n=6221). Race and ethnic status were categorized as: non-Hispanic white (NHW), non-Hispanic black (NHB), non-Hispanic “Asians and other race” (NHA) and Hispanic (any race). Social engagement was based on self-report and included keeping in touch with friends, family and participating in social activities. Covariates included age, sex, education, number of comorbidities, physical function, and alcohol consumptions. The mean age was 74.6, 60% were female. Race and ethnicity distribution were 78.6% NHW, 11.9% NHB, 7.89% Hispanics, and 1.7% NHA. The social engagement (SE) score averaged 3.3. Hispanics, Asians and other races had a lower SE score compared with NHW (b=-0.29, p&lt;.0001; b=-0.27, p=0.04). Understanding racial and ethnic disparities in SE can help target appropriate social intervention.
Adding Person-Centered Measures to Research on Detection and Diagnosis of Dementia
Authors: Maslow Katie 
Published: December 2021

Abstract
In the United States, numerous studies on detection and diagnosis of dementia show that large proportions of subjects refuse initial screening tests. Moreover, among those who accept the tests, score poorly, and are therefore referred for a diagnostic evaluation, large proportions do not follow up to get the evaluation. Available data on characteristics of subjects who refuse initial screening and follow-up evaluation suggest that incorporating procedures based on person-centered concepts and practices, such as procedures that acknowledge individuals’ unique characteristics and attempt to involve, enable, and empower them, could lead to more effective detection and diagnosis. Based on results of an analysis of measures used in studies conducted in the U.S. and elsewhere, this presentation will describe frequently used measures and identify person-centered measures that could be added to studies of alternate procedures intended to increase detection and diagnosis.
Person-Centered Assessment: Evaluating Positive Psychosocial Measures in Dementia Research
Authors: Mast Benjamin , Molony Sheila 
Published: December 2021

Abstract
Person-centered principles continue to redefine the nature of dementia care, but less attention has been given to integration of person-centered principles into clinical assessment and dementia research. As a result, identification of deficits and cognitive impairment tends to dominate clinical and research efforts, whereas strengths and positive characteristics need more research. This paper examines existing positive psychosocial measures of psychological wellbeing, hope, spirituality, resilience, social relationship, dignity, and at-homeness. Many of these measures demonstrate strong psychometric properties and have been identified as promising outcome measures for strengths-based studies and approaches to care. This paper will evaluate the extent to which these measures used a person-centered approach to item development and testing, and whether item content is consistent with person-centered principles. Future directions for instrument development require greater inclusion of people living with dementia and family caregivers.
Factors Affecting Cognitive Dysfunction Screening for Latinx Adults With Type 2 Diabetes
Authors: Cuevas Heather , Zuñiga Julie , Morgan Stephanie 
Published: December 2021

Abstract
Before development of overt type 2 diabetes (T2DM), changes in brain structure and activation patterns are found in insulin resistance, indicating many with T2DM may already have alterations in cognitive function. How best practices are met for screening for cognitive dysfunction, specifically Latinx adults with T2DM who are at higher risk, remains unclear. The purpose of this study was to examine aspects influencing screening Latinx adults with T2DM for cognitive problems by identifying patient-, clinician- and clinic- level factors. This was a mixed methods study which used semi-structured interviews with Latinx adults with T2DM (n=30; mean age: 68; 57% Mexican American); surveys and interviews with health care providers (n = 15); and inventories of four outpatient clinics to identify factors (e.g. time, clinic policies) influencing screening. Data were analyzed via thematic analysis (interviews) and descriptive statistics (surveys and inventories). For patients, screening was important, but inability to work related to a possible diagnosis of dementia was a concern. Providers and patients agreed other health issues (e.g. hyperglycemia) took precedence to screening. Providers (96.7%) were expected to screen but did not have support/time from clinics and relied on patients for initial prompts. Only one clinic reported staff education on cognitive screening with an emphasis on potential cultural differences in test results and adequate resources related to dementia for Latinx adults. Clinics serving Latinx adults have a responsibility to deliver appropriate care. Leadership should consider innovative practices such creation, with patients, of educational materials for screening -a need highlighted by most participants.
Benefits and Barriers to Emerging Technologies to Promote Health, Well-Being, and Independence of Older Adults
Authors: Boot Walter 
Published: December 2021

Abstract
Emerging technologies, such as voice assistant systems and artificial companion robots, hold a great deal of promise for improving the health, wellbeing, and independence of older adults. However, these solutions will likely be ineffective in the absence of research to understand barriers to the adoption and use of these technologies and without an exploration of the needs and preferences of older adults. This symposium focuses on both the potential of such technologies and factors that may affect their success. H. Spangler will present a detailed analysis of privacy concerns of older adults, with and without cognitive impairment, related to the use of Voice Assistant Systems (VAS). R. Nicholson will discuss the potential of a VAS app for promoting exercise among older adults and their caregivers to enhance mobility independence, with a focus on perceived benefits and dislikes about the app that may impact use. Finally, C. Berridge will present an exploration of perceptions of and attitudes toward artificial companion (AC) robots across the lifespan, before and after the start of the COVID-19 pandemic, including concerns about privacy. Together, these talks will highlight novel methods through which emerging technologies can support older adults and issues to consider if these methods are to produce meaningful change.
Using Administrative Claims to Model Health-Related Behaviors: Measures of Screening and Medication Adherence
Authors: Yashkin Arseniy 
Published: December 2021

Abstract
We demonstrate how administrative claims records can be used to model certain behavioral patterns and associated health effects. The inability of administrative claims, which are in essence a billing record, to account for differences in behavior is a major limitation of such data which usually requires an externally linked source to overcome. However, for certain diseases, for which well-defined and accepted guidelines on screening and medication use exist, the claims themselves can provide a way for modeling health-related behavior. A practical application to screening and medication adherence for type ii diabetes mellitus is presented. Diverse methods of the calculation of such indexes with their pros, cons and variation in identified effects are discussed and demonstrated using results based on administrative claims drawn from a 5% sample of Medicare beneficiaries.