bluuebunny/crossref_metadata_2025_split huggingface dataset:
CONSUMERS AND PROVIDERS ON THE NEEDS OF LONG-TERM SURVIVORS AND PEOPLE AGING WITH HIV IN NEW YORK STATE
Authors: Brown Maria , Siegler Eugenia , Albarran Marz , Wikiera John , Partap Angie , Ahmed Courtney , Beard Sheriden , Heslop Thomas 
Published: December 2022

Abstract

Objectives
To document the practical needs, and develop quality initiatives to address those needs, of the growing population of long-term survivors (LTS) and older people with HIV (OPH) in New York State.

Methods
The HIV+ Aging/LTS/Perinatally Diagnosed Subcommittee of the NYS Quality of Care Consumer Advisory Council used community based participatory research methods to design a statewide survey based on categories identified in August 2020 virtual town halls with consumers and providers across New York. Syracuse University launched the survey, open to consumers aged 18 and over who were LTS or OPH, clinicians, and social services providers, in June 2021 using Qualtrics™. Participants chose the three most important barriers and recommendations for each category. Responses were characterized using basic descriptive statistics.

Results
Participants included 124 consumers from 26 counties, 20 clinicians, and 24 social service providers. Two thirds of participants were cisgender men (67%), 27% were African American, 80% identified as both LTS and OPH. On average, consumers were 58 years old, had been living with their HIV+ diagnosis for 27 years, and reported 4 additional conditions, most commonly depression (30%). LTS and OPH were concerned about clinical and financial needs, particularly coordination of clinical care, unmet housing needs, cultural representation in mental health services, and financial support of LTS and OPH. Implications: Community based participatory research can inform and stimulate changes in clinical care for LTS and OPH. Survey results are informing a plan for functional screening of OPH and LTS that can be performed by certified peer workers.
MODE EFFECTS ON COGNITIVE FUNCTIONING ASSESSMENTS IN THE HEALTH AND RETIREMENT STUDY
Authors: Faul Jessica , Domingue Ben , Stenhaug Ben , West Brady , Langa Kenneth , Weir David 
Published: December 2022

Abstract
As the population of the US ages, there is interest in assessing health conditions associated with age and longevity, such as age-related decline in cognitive functioning. As a result, there is an increased focus on measuring cognitive functioning in surveys of older populations. One challenge relates to conducting comparable measurement across survey modes (e.g., phone vs. web). Compounding this is that mode of survey administration is often not assigned randomly making inter-group comparison more difficult. This paper addresses these issues using a novel experiment embedded within the Health and Retirement Study (HRS). The HRS, a US-based cohort of people over 50, has measured cognition since its inception using both in-person and telephone modes. In 2018, a sample of approximately 3700 respondents was identified as web-eligible based on a prior report of internet access along with other selection criteria. Of these, 60% were randomly selected for the web sample with the remainder serving as controls, assigned to telephone mode for comparison purposes. We deploy techniques from item response theory (IRT) and differential item functioning (DIF) to estimate the difference in cognitive functioning between web and phone respondents in 2018 based on longitudinal cognition data collected prior to 2018. Second, we estimate the overall effect of taking the survey via the web as compared to the phone. Third, we examine item-level variation in the magnitude of the mode effect and suggest possible methods for adjustment to support longitudinal consistency. These results are important in guiding future research that utilizes web-based cognitive measures.
GUIDELINES FOR DEVELOPING EVIDENCE-BASED RISKY DRIVING COUNTERMEASURES THAT INCLUDE OLDER DRIVERS
Authors: Zakrajsek Jennifer , Molnar Lisa , Eby David , Kostyniuk Lidia , Zanier Nicole , LeBlanc David J , Sayer Tina B 
Published: December 2022

Abstract
Driver behavior will continue to play a critical role in driving safety for the foreseeable future. Utilizing behavior change theory appropriately presents opportunities to improve the effectiveness of risky driving countermeasures that have been under-utilized to date. Older drivers should not be excluded from consideration of risky behaviors. Forty-six drivers (33% age 65+) completed surveys, then drove for three weeks with data collection during all trips. The Theory of Planned Behavior guided a two-phased regression analysis approach: 1) behavioral intentions were predicted using attitudes about behaviors and demographics; 2) observed risky behavior was predicted using behavioral intentions, theory constructs, personality/psychosocial characteristics, demographics, and driving exposure. Results were synthesized and the emergent themes were used to formulate guidelines for developing theory-based education and communication risky driving countermeasures. Guidelines focused on four risky driving behaviors observed in a large proportion of participants (72% - 96%): holding/using a cellphone; eating/drinking; speeding; and tailgating. Twenty-six guidelines were developed across four categories: 1) relationships among risky behaviors; 2) characteristics or underlying dimensions of risky driving (e.g., time, location, emotion); 3) behavior change theory constructs; 4) audience and message factors. While older drivers self-reported low frequencies of risky behaviors, low intentions for future risky behaviors, and less favorable attitudes toward risky behaviors than younger drivers they were regularly observed engaging in risky behaviors: distracted behaviors in 79% of trips and 2.1 speeding events per trip. Risky driving countermeasures are appropriate for older drivers and the emergent guidelines will be presented with recommended variations for older drivers.
THE ROLE OF MITOCHONDRIAL-NUCLEAR INTERACTIONS IN SEX DIFFERENCES IN AGING
Authors: Austad Steven 
Published: December 2022

Abstract
Sex differences in longevity and the aging phenotype are rampant if not ubiquitous. They are also highly variable and content dependent. That is, although there appears to be an overall female longevity bias in many species, that pattern has many exceptions. In virtually all of the best-studied species, with humans being a notable exception, longevity sex bias is context-dependent. To try to understand sex differences in aging, it is useful to consider the impact of mitochondria, which are exclusively inherited through the female lineage. Mitochondria are endosymbiotic bacteria that have given away most of their genes to the nucleus. Therefore, mitochondrial function depends on compatibility and coordination of the mitochondrial genome with the nuclear genome. The evolutionary success of mitochondrial genomes, specifically, will depend on how effectively they interact with female nuclear genomes, male nuclear genomes being evolutionary dead-ends for them. This talk will employ this logic to examine observations of sex differences in the aging phenotype.
PATHWAYS OF CARE: THE EXPERIENCE AND COSTS OF CARING FOR FAMILY MEMBERS LIVING WITH DEMENTIA IN MEXICO
Authors: López-Ortega Mariana 
Published: December 2022

Abstract

Introduction
Formal health and social security institutions are not unequipped to respond to significant dementia prevalence, and currently, no publicly funded national level dementia care policies are in place. However, little is known about the economic, social and health consequences for those providing care.

Methods
This paper presents families’ health and social dementia care seeking trajectories and the structural factors that shape them. It is based on results of almost 2 years of highly inductive fieldwork, carried out before and during the ongoing COVID-19 pandemic, and includes 50 in-depth interviews with 23 unpaid family caregivers.

Results
Lack of awareness and knowledge about dementia and normalization of cognitive impairment as part of aging result in long delays in seeking care. When there is a diagnosis, health professionals concentrate on clinical aspects of illness, but seldom explain possible changes, behaviours, symptoms, or provide care strategies. For most carers, high opportunity costs are reported with high impact as they stop or change to more flexible employment, change living arrangements, in addition to the large economic impact of paying for most care inputs such as medicines or home adaptations.

Conclusions
In Mexico, these unpaid family carers struggle to navigate complicated care pathways, with little or no government or public support. Health system institutions should increase awareness and knowledge about dementia and prioritize developing and coordinating programs that provide timely diagnosis within primary care services and support strategies for people living with dementia and their carers, using person centred care.
FULL CIRCLE: MENTORING IN GERONTOLOGY AND GERIATRICS EDUCATION
Authors: Karasik Rona 
Published: December 2022

Abstract
More than just a buzzword in business and education, mentoring is a complex interactional process that, at its best, fosters personal and professional development for all involved. In other words, a good mentoring relationship can be both transformative and reciprocal. This raises the question of what is (and is not) a good mentoring relationship? Moreover, how does one enter into and capitalize on the benefits of mentorship? While some mentoring relationships are intentionally created, others seem to evolve so organically that participants are not immediately aware of mentoring’s presence. The current presentation looks at the nature of mentoring relationships within the context of gerontology and geriatrics education from both the mentor and mentee perspectives.
FOOD INSECURITY ACROSS THE LIFE COURSE AND COGNITIVE FUNCTION AMONG OLDER MEXICAN ADULTS
Authors: Saenz Joseph , Kessler Jamie , Nelson Ehlana 
Published: December 2022

Abstract
Food insecurity is a global public health problem and is related with poorer cognition among older adults. Few have examined how food insecurity, throughout life, relates with cognition among older Mexican adults. Data came from the 2015 Mexican Health and Aging Study (n=11,507, aged 50+). Early- and late-life food insecurity were self-reported. We evaluated how food insecurity related with cognition (Verbal Learning, Verbal Recall, Visual Scanning, and Verbal Fluency), controlling for health and sociodemographic confounders. In descriptive analyses, respondents who experienced food insecurity in early- or late-life performed worse on all cognitive tasks compared to the food secure. When adjusting for health and sociodemographic confounders, early-life food insecurity predicted worse Verbal Learning performance and late-life food insecurity related with poorer Visual Scanning. Food insecurity negatively related with cognition among older Mexican adults. The significance of effects depended on cognitive task and when in life food insecurity was experienced
DIRECT AND INDIRECT PATHWAYS FROM EDUCATION TO COGNITIVE FUNCTIONING AMONG OLDER BRAZILIANS
Authors: Farina Mateo 
Published: December 2022

Abstract
Cognitive impairment in Brazil is a growing population health concern. Studies suggest that Brazil may have one of the highest age-standardized prevalence of Alzheimer’s disease and related dementias (ADRD) in the world. However, improving education attainment among older adults may lead to a decline in cognitive impairment across the population in the coming years. The purpose of this study is to examine the pathways that link educational attainment to cognitive functioning in Brazil, a highly unequal, resource rich society. I use the 2016 Brazilian Longitudinal Study of Aging, a nationally representative study of Brazilian older adults 50+. I use linear regression models to predict overall cognitive functioning as well as specific domains of cognition (memory vs. non-memory). Preliminary findings provide evidence of both indirect and direct pathways from education to cognitive functioning. The indirect pathways, however, were only found for adults with 8+ years of education.
DEMENTIA CARE REIMAGINED: THE MULTIMODAL PREVENTING LOSS OF INDEPENDENCE THROUGH EXERCISE (PLIÉ) PROGRAM
Authors: Barnes Deborah , Nicosia Francesca , Allison Theresa 
Published: December 2022

Abstract
Over 6 million people in the United States and 50 million people worldwide are living with some form of dementia. Current pharmacotherapies for people living with dementia (PLWD) can provide some symptomatic relief but do not alter the disease course, have numerous side effects, and do not improve quality of life. Non-pharmacologic and behavioral interventions are increasingly recognized as inexpensive and effective ways to improve a wide range of outcomes for PLWD. Yet few interventions target multiple domains related to dementia quality of life. This symposium overviews the Preventing Loss of Independence through Exercise (PLIÉ) program, an evidence-based, integrative mind-body group movement program that targets key domains associated with better quality of life in PLWD: physical function, cognitive function, well-being, social connection, and self-esteem. This symposium provides an overview of the broad impact of this novel, non-pharmacologic, multimodal intervention on quality-of-life outcomes for PLWD, including expansion to include care partners and people with mild cognitive impairment and implementation in varied settings including adult day programs, nursing homes, and online delivery. It includes a participatory component for attendees to experience PLIÉ in action. Discussion focuses on the need for programs that support dementia quality of life through engagement in mind-body movement and social connection.
DEVELOPMENT AND TESTING AN INTERPROFESSIONAL PLIÉ TRAINING PROGRAM FOR VA NURSING HOME STAFF
Authors: Lee Jennifer , Nicosia Francesca , Pham Catherine , Shirsat Nikita , Miller Matthew , Chesney Margaret , Barnes Deborah 
Published: December 2022

Abstract
In this study, we collected formative data from key stakeholders (nursing home staff and leadership, dementia care experts), developed, pilot tested, and refined a 10-week remote training program at 2 VA nursing homes with 15 interprofessional staff (e.g., recreation therapists, social workers, registered nurses). Training components included weekly livestreaming didactic sessions for staff that demonstrated PLIÉ guiding principles and themes. Weekly experiential sessions, facilitated by the lead PLIÉ instructor, included staff and residents with dementia participating together online. All training sessions were video recorded and available for review along with a training manual. Staff completed weekly surveys, post-training focus groups, and expressed high confidence using 6 of 8 PLIÉ principles; 100% rated their overall training satisfaction as “very good” or “excellent.” The remote PLIÉ training was an efficient model for staff training that leveraged interprofessional knowledge and skills. This presentation includes an experiential demonstration of PLIÉ in action.
OPPORTUNITIES FOR MHEALTH IN DEMENTIA CARE/CARE MANAGEMENT: LESSONS LEARNED FROM OTHER CLINICAL DISCIPLINES
Authors: Belli Hayley 
Published: December 2022

Abstract
The use of mHealth applications in dementia care/care management has recently become of increasing interest to patient stakeholders, clinicians, and researchers working in the field. However, there exists a rich literature of successful examples of the development, implementation, and efficacy of mHealth applications across a variety of health care disciplines. Thus there is high potential to take these lessons learned from other clinical fields and apply such successes to dementia care/care management. We will walk through several examples of mHealth tools used for managing hypertension, diabetes, migraines, and weight loss, while highlighting specific opportunities for dementia care/care management. Points of discussion will include optimizing the user-centered design process during the development phase of mHealth applications, increasing patient engagement with mHealth applications – especially among underrepresented individuals in research, promoting adherence to mHealth interventions via principles from behavioral economics, and scaling up mHealth interventions to test for efficacy at a population-level.
EXPLORATORY STRUCTURAL PROCEDURES IN HEALTH SERVICES RESEARCH
Authors: Roes Martina , Resnick Barbara 
Published: December 2022

Abstract
When analysing data where little knowledge of relationships is available, exploratory structuring techniques, e.g., clustering and scaling techniques, are applied, using an inductive approach to construct analogies and thus suggest how to organize the data. These procedures in Health Service Research mainly focus on latent variables and are particularly used in the development of instruments or theories. Our symposium includes three presentations on research studies in which exploratory structural procedures were used for data analysis, that were considered appropriate for Health Service Research. Dr. Johannes Bergmann will present a concept mapping technique of the German Preferences for Everyday Living Inventory (PELI-D), for structuring the questionnaire from the perspective of professional nurses. This is a mixed methods participatory approach that combines interpretation and decisions by the researchers with a sequence of multivariate statistical analyses (multidimensional scaling, cluster analysis).. Jan Dreyer will present a Multiple Correspondence Analysis and Hierarchical Cluster Analysis as exploratory data reduction procedures. His aim was to identify types of home-based care arrangements for people living with dementia. To analyse the relationships between care arrangement variables, he performed Multiple Correspondence Analysis. To cluster the care arrangements, he performed Hierarchical Cluster Analysis. Anna Louisa Hoffmann will present an alternative, modified procedure of Multiple Correspondence analysis. Since Multiple Correspondence Analysis underestimates the true quality of data representation, she used Adjusted Multiple Correspondence Analysis to explore construct validity of the Dementia Policy Questionnaire (DemPol-Q). This procedure was considered appropriate to assign categorical variables to latent variables.
THE FUTURE OF PARATRANSIT: A STUDY OF PROVIDER EXPERIENCES AND HOPES FOR CHANGE
Authors: Gleason Shayna , Silverstein Nina 
Published: December 2022

Abstract
The present study examined paratransit managers’ perceptions of a changing transportation market, and what resources or supports they might need to adapt to evolving market expectations. As transportation network companies (e.g., Uber, Lyft) have emerged, the landscape of demand-responsive transportation has changed. However, the experiences of those closest to the operations of paratransit programs have been largely neglected in research. In-depth, semi-structured interviews were conducted with 16 managers of paratransit services. The resulting transcripts were coded iteratively using NVivo software, using both inductive and deductive approaches. We found that participants were already innovating and often wanted to be even more creative with their services, but were hampered by inadequate funding, driver shortages, regulatory or policy challenges, and other barriers. This study’s findings advance the literature toward greater understanding of how policymakers can leverage existing paratransit infrastructure to better serve the transportation needs of older adults and other transportation disadvantaged groups.
FINDING YOURSELF: PERSONALIZED MEDICINE, DATA SCIENCE, AND INTERACTIVE VISUALIZATIONS
Authors: Griswold Michael , Henegan James , Blackshear Chad , Windham Beverly Gwen , Mosley Thomas 
Published: December 2022

Abstract
Personalized medicine is care that is tailored to an individual patient. In contrast, randomized trials are designed to report evidence of benefits and harms “on average”. The average trial participant though, is often healthier than older patients seen in clinical practice. A variety of methods have been proposed which offer improvements to traditional (but questionable) practices of one-subgroup-at-a-time examinations of treatment effect heterogeneity, but translating evidence from these advancements has received less attention. Data Science initiatives have allowed broader data sharing, data harmonization and data synthesizing approaches, as well as an enormous maturing of interactive visualization techniques. Motivated by the SPRINT study and using advanced approaches of marginalized standardization and the Predictive Approaches to Treatment effect Heterogeneity (PATH) statement, we show how researchers, regulators, clinicians and patients can "find themselves" on the treatment effect continuum and be better informed of potential individualized evidence through interactive visualizations.
SIGNAL DETECTION AND VALIDATION IN AN ERA OF BIG GERONTOLOGICAL DATA
Authors: Bandeen-Roche Karen 
Published: December 2022

Abstract
Older adult health assessment long has posed measurement challenges—multidimensionality of sentinel outcomes like functioning and frailty, for example. This presentation discusses three developments creating opportunities for gerontologic biostatistics (GBS) over the past 10 years. Firstly, modeling to internally validate measurements or to quantify systematic heterogeneity in assessing older adult health has become considerably more widespread. Confirmatory latent variable modeling, harmonization, and mixture models will be addressed. Secondly, signal intensive behavioral phenotypes are proliferating, e.g. accelerometry, sleep actigraphy, and ecological momentary assessment. Functional data analysis is described as a data analytic technique to extract signal capturing main behavioral features or most relevant for health outcomes. Thirdly, “deep” characterization is under hot pursuit—whether by single- or multi-‘omics studies, or by multi-modal phenotyping as is increasingly common in the study of cognition. Techniques to accomplish this replicably are discussed. Throughout, potential pitfalls and implications for gerontologic data science development are identified.
HEALTHY PEOPLE 2030 AND HEALTHY AGING
Authors: Lin Yen 
Published: December 2022

Abstract
The US Department of Health and Human Services, Office of Disease Prevention and Health Promotion (ODPHP) sets science-based health promotion and disease prevention objectives for the nation with 10-year targets through the Healthy People Initiative. In addition to objectives specific to older adults, many of our population-based objectives in other condition-specific topics also contain data for older adults. Healthy People also developed the Department of Health and Human Service's Social Determinants of Health model. This presentation will highlight ODPHP's policy initiatives and campaigns specifically for older adults, including the Dietary Guidelines for Americans 2020-2025, Move Your Way © for Older Adults and provide an update on the Physical Activity Guidelines Midcourse Report on Older Adults.