Gerontologist最新文献

{"title":"Why AI Governance Should Be a Focal Issue for Gerontology.","authors":"Clara Berridge, Anita Ho","doi":"10.1093/geront/gnaf234","DOIUrl":"https://doi.org/10.1093/geront/gnaf234","url":null,"abstract":"<p><p>Today, technologies described as artificial intelligence (AI) impact older adults in numerous and diverse ways, yet the field of gerontology has not seriously engaged AI governance. From algorithmic decision making used in health insurance, employment, housing, and public benefits, to the information ecosystem, to AI companions, AI applications implicate important issues of ethics, service access, and ageism. Policy levers could help address these issues and mitigate harm, but there is currently a paucity of federal AI regulations. As AI and algorithmic harms are better understood, the call from public interest groups and researchers in various fields has gotten louder for comprehensive AI and data privacy policy in the United States. Yet there has been little attention on how rapid development and deployment of AI may affect older adults, and their diverse interests are not well represented in discourses about AI policy making or governance. Drawing on a narrative synthesis of academic and policy literature and attending to the principles in the Blueprint for an AI Bill of Rights, we explain how these principles can guide the development of ethical governance of AI to ensure accountable development and implementation to promote the interests of older adults.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Culturally Responsive Approaches to Brain Health and Dementia Education for American Indian, Alaska Native, and Native Hawaiian Communities.","authors":"Breana Dorame, Kelsey Donnellan, Ron Eppes, Bill Benson, Kendra Kuehn, Breannon Babbel, Megan Dicken, Courtney Hoskins","doi":"10.1093/geront/gnaf233","DOIUrl":"https://doi.org/10.1093/geront/gnaf233","url":null,"abstract":"<p><p>While American Indian, Alaska Native, and Native Hawaiian (AI/AN/NH) populations have disproportionately been affected by dementia, these communities are resilient and offer critical insight about dementia and brain health through the aging process. Existing dementia education often neglects cultural nuances and realities that influence health beliefs and practices in these communities, focusing on disparities or erasing Native experiences entirely. This article highlights the importance and impact of culturally tailoring dementia education, serving as a call to action for providers, policymakers, and partners to consider the needs of AI/AN/NH communities when addressing dementia. As the only Centers for Disease Control and Prevention(CDC)-funded AI/AN Resource Center for Brain Health, the International Association for Indigenous Aging (IA2) has employed a multifaceted, strengths-based approach for effectively engaging with and supporting Native populations in addressing disparities in dementia and brain health. This approach enables the co-creation of inclusive, impactful dementia education resources that resonate with AI/AN/NH populations. IA2's work underscores the importance of integrating community engagement, Indigenous knowledge, and traditional practice into public health frameworks to address the complex challenges dementia poses in Native communities.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectively Engaging African American and Latino Communities on Brain Health and Alzheimer's Disease Prevention.","authors":"Daphne Delgado, Stephanie Monroe","doi":"10.1093/geront/gnaf232","DOIUrl":"https://doi.org/10.1093/geront/gnaf232","url":null,"abstract":"<p><p>Many have long believed that underrepresented communities are difficult to reach. UsAgainstAlzheimer's (UsA2) understands communication methods and language used to reach White people may not be as effective when used to reach African Americans, Latinos, or other populations. It is therefore imperative that messages be personalized in such a way to be culturally relevant to and resonate with minoritized communities and that those messages be delivered by trusted members of the community, such as known health care providers, social workers, and community health workers. These trusted messengers often reside in and understand the communities they serve, which gives them a distinct advantage. Research has shown that nurses are some of the most trusted communicators of health information to their peers and the communities they serve. This article explores learnings from UsAgainstAlzheimer's work, funded through the Centers for Disease Control and Prevention's (CDC's) National Healthy Brain Initiative cooperative agreement, including providing specialized training to nurses. It also addresses the impact of Alzheimer's on African American and Latino communities and how to communicate action-oriented strategies to reduce the risk of developing Alzheimer's in these communities.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Healthy Brain Initiative-Expanding Public Health Capacity to Address Dementia.","authors":"Meghan Fadel, John Shean, Eva Jackson, Janicka D Harris, Juan Rodríguez, Shelby Roberts","doi":"10.1093/geront/gnaf220","DOIUrl":"https://doi.org/10.1093/geront/gnaf220","url":null,"abstract":"<p><p>In 2005, Congressional support led to the creation of the Healthy Brain Initiative (HBI) and the collaboration between the Alzheimer's Association and the Centers for Disease Control and Prevention to prioritize brain health in public health practice. Over 20 years, the HBI has developed and implemented the HBI Road Map Series to increase the capacity of health departments to integrate dementia into health departments nationwide, aligning frameworks like the Essential Public Health Services and focusing on health equity across the life course. A growing number of HBI partners now work together to implement public health strategies that promote brain health, address dementia, and support people living with dementia and caregivers. Recognizing opportunities to influence the trajectory of public health action, the HBI prioritizes growing the availability and use of dementia-related public health data and equipping the public health workforce with the knowledge and confidence to make change. This article documents the history and evolution of the HBI, including a description of current efforts and the broader public health context to which it has contributed; efforts of the HBI and partners in national, state, local, territorial, and tribal public health agencies have led to transformative change.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Placing Public Health onto the Alzheimer's Disease and Related Dementias Public Policy Platform.","authors":"Brian Kaskie, Julie Bobitt, Yogesh Shah, Sarah Khasawinah","doi":"10.1093/geront/gnaf224","DOIUrl":"https://doi.org/10.1093/geront/gnaf224","url":null,"abstract":"<p><p>In 2017, the United States Senate Special Committee on Aging added public health to the Alzheimer's disease and related dementias (ADRD) policy platform by introducing the Building Our Largest Dementia Infrastructure for Alzheimer's Act. Since then, 34 state health departments, seven local, two territorial and one tribal health organization have received a BOLD Program award from the CDC. With the support of the Alzheimer's Association and university-based Centers of Excellence, their efforts have increased public awareness, expanded training of health care providers, linked public health programs and health care systems, and supported programs to reduce the risk for ADRD. In this forum, we draw on examples of federal and state policy making targeting persons living with dementia and demonstrate how iron triangles consisting of advocacy organizations, public servants and policy makers have been critical in building a public policy platform for more than 50 years. We then consider how public health leadership may rely on such iron triangles to expand their role, focusing on the critical role assumed by professional and academic organizations in educating and training those who may help respond to the public health crisis being presented by the booming number of older Americans with ADRD.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addressing the Complexity of Culture Change in Long-Term Care in Research: An Innovative New Framework Addressing System-level Complexity.","authors":"Amy Elliot, Katherine M Abbott, Noble Molly, Kimberly Van Haitsma","doi":"10.1093/geront/gnaf229","DOIUrl":"https://doi.org/10.1093/geront/gnaf229","url":null,"abstract":"<p><p>This paper explores an innovative new framework that addresses system-level complexity in long-term care research through the lens of culture change. We first discuss the current findings and gaps in culture change research and explore how a lack of system-level research may have slowed culture change adoption. After a review of potential system-level theories, we identify a conceptual framework that integrates the theoretical constructs of the Consolidated Framework for Implementation Research (CFIR) and Complex Adaptive Systems (CAS) for a more advanced conceptual modeling of culture change implementation. To illustrate the integration of CFIR and CAS as a conceptual framework to research culture change at a system-level, we create a crosswalk using two prominent implementation tools that support culture change: the Preferences for Everyday Living Inventory and the Artifacts of Culture Change 2.0. We argue for the value of this novel conceptual framework in highlighting the complexity of systems in long-term care research.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Healthy Brain Initiative (HBI) and Building our Largest Dementia Infrastructure (BOLD) Initiatives: 20 Years of Building a Strong Public Health Infrastructure.","authors":"Lisa C McGuire, Heidi L Holt","doi":"10.1093/geront/gnaf225","DOIUrl":"https://doi.org/10.1093/geront/gnaf225","url":null,"abstract":"","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the Factors that Influence the Implementation of AI-Driven Lifestyle Monitoring in Long-Term Care for Older Adults.","authors":"S W M Groeneveld, T Dekkers, Jewc van Gemert-Pijnen, R M Verdaasdonk, T J Verveda, R Witteveen, H van Os-Medendorp, M E M den Ouden","doi":"10.1093/geront/gnaf230","DOIUrl":"https://doi.org/10.1093/geront/gnaf230","url":null,"abstract":"<p><strong>Background and objectives: </strong>AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults \"aging in place.\" Despite its potential to support several challenges in long-term care for older adults, implementation remains limited. This study explored the facilitators and barriers to implementing AI-driven lifestyle monitoring in long-term care for older adults, as perceived by formal and informal caregivers, as well as management, in both an adopting and non-adopting healthcare organization.</p><p><strong>Research design and methods: </strong>A qualitative interview study using semi-structured interviews was conducted with 22 participants (5 informal caregivers, 10 formal caregivers, and 7 participants in a management position) from two long-term care organizations. Reflexive thematic analysis, guided by the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework, structured findings into facilitators and barriers.</p><p><strong>Results: </strong>12 facilitators and 16 barriers were identified, highlighting AI-driven lifestyle monitoring as a valuable, patient-centred, and unobtrusive tool enhancing care efficiency and caregiver reassurance. However, barriers such as privacy concerns, notification overload, training needs, and organizational alignment must be addressed. Contextual factors, including regulations, partnerships, and financial considerations, further influence implementation.</p><p><strong>Discussion and implications: </strong>This study showed that to optimize implementation of AI-driven lifestyle monitoring, organizations should address privacy concerns, provide training, engage in system (re)design and create a shared vision. A comprehensive multi-level approach across all levels is essential for successful AI integration in long-term care for older adults.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Machine Learning Approach for Estimating Intrinsic Capacity Age and Its Associations with Multimorbidity and Geroprotective Agents.","authors":"Carlos Cruz-Montecinos, Joaquín Calatayud, Lars Louis Andersen, Rubén López-Bueno, Luis Peñailillo, Rodrigo Torres-Castro, Fernando Diefenthaeler, Rodrigo Núñez-Cortés","doi":"10.1093/geront/gnaf228","DOIUrl":"https://doi.org/10.1093/geront/gnaf228","url":null,"abstract":"<p><strong>Background and objectives: </strong>Aging is associated with functional decline and multimorbidity, highlighting the need for holistic biomarkers to monitor healthy aging. The aim of this study was to validate intrinsic capacity age (IC-age) as a biomarker of aging and to examine its association with multimorbidity and geroprotective agents.</p><p><strong>Research design and methods: </strong>A cross-sectional study was conducted with data from 48,068 participants aged ≥60 years from the 9th wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, 2021-2022). Random forest regression was used to train a model predicting IC-age based on biomarkers (cognitive, psychological, sensory, vitality, locomotion) and demographic factors.</p><p><strong>Results: </strong>IC-age showed a prediction error of 5.3 years (r = 0.55). Biomarkers for vitality (handgrip strength), cognitive (verbal fluency and memory), and sensory (hearing aid use) domains were important contributors. General linear models assessed associations with multimorbidity, physical activity, and smoking. Intrinsic capacity age was significantly higher in individuals with multimorbidity and smokers compared with healthy individuals. Physical activity exhibited a protective effect on IC-age, with vigorous activity showing a particularly pronounced benefit in women.</p><p><strong>Discussion and implications: </strong>This model demonstrates that IC domains can estimate biological age and distinguish individuals based on their comorbidities. It also underscores the role of physical activity as a key geroprotective factor, with vigorous physical activity in females with comorbidities showing the most pronounced protective effect on IC-age. These results validate the concept of IC-age as a comprehensive measure of aging and highlight its potential to inform personalized interventions and public health strategies.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laughing and Longing: Analyzing Age Filter Videos on TikTok.","authors":"Henning Pohl","doi":"10.1093/geront/gnaf231","DOIUrl":"https://doi.org/10.1093/geront/gnaf231","url":null,"abstract":"<p><strong>Background and objectives: </strong>Augmented reality filters have enabled real-time alterations of one's appearance, including filters that allow users to explore how younger or older versions of them might look. This can be entertainment, but can also confront users with an unexpected contrast in appearance. Users sharing their reactions to these filters on social media, allow a view into the effects such filters have. We aim to better understand what these effects are and how such filters support user's engagement with aging and their past.</p><p><strong>Research design and methods: </strong>We searched TikTok for videos on age filter use, centered on those associated with the #teenfilter hashtag. From the initial dataset of 624 we retain 434 videos for a further analysis. We combine a quantitative analysis of the video descriptions and who features in the videos with a thematic analysis of the video content.</p><p><strong>Results: </strong>We identified eight themes around how users reacted to age filters. These span from positive reactions, such as appreciation and amusement, to negative ones, such as shock and disagreement. Nostalgia and reminiscence were common reactions, with users reflecting on their own lives, but also using the opportunity to draw connections between themselves and their parents or kids.</p><p><strong>Discussion and implications: </strong>Our findings describe the broad range of reactions stemming from the use of augmented reality age filters. We find that these filters can help users reminisce and connect across generations. Filters have been shown to affect self-perception and support self-expression and this extends to age and aging.</p>","PeriodicalId":51347,"journal":{"name":"Gerontologist","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}