There is a critical need to develop supports for older adults who have a wide range of abilities, including those aging with long-term impairments. Without appropriate support, many individuals will be functioning below optimal levels and will face participation barriers. Technology holds great promise to provide individualized support for a wide range of abilities and for a variety of domains. To ensure technology interventions are designed well and meet research-documented user requirements, we need more specific, actionable models to provide guidance for those developing and designing interventions. In this paper, we present the TechSAge Aging and Disability Model to bridge models from the aging and disability literatures and to disambiguate the population of individuals aging into disability from those aging with disability (i.e., pre-existing impairments). We also present the TechSAge Technology Intervention Model to support aging with pre-existing impairments, which provides direction and touch points for technology interventions. These models reflect the complex and dynamic interaction between age-related changes and an individual's prior capabilities and limitations. We describe the need for these models with respect to filling a gap in the disability and aging literature by highlighting the importance of differentiating between age-related changes and long-term impairments when designing interventions. We also show the need for quantitative and qualitative data to refine the models given complexities of the current state of the literature and survey data. The TechSAge Technology Intervention Model can be used to drive and inform technology redesign and development.
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http://dx.doi.org/10.1093/geroni/igy008 | DOI Listing |
Ann Neurol
January 2025
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Objective: The aim of this study was to explore the microstructural dynamics of the subventricular zone (SVZ) with aging and their associations with clinical disability and brain structural damage in pediatric-onset multiple sclerosis (MS) patients.
Methods: One-hundred and forty-one pediatric-onset MS patients (67 pediatric and 74 adults with pediatric-onset) and 233 healthy controls (HC) underwent neurological and 3.0 T MRI assessment.
J Neurol Neurosurg Psychiatry
January 2025
Schools of Nursing, Medicine and Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Background: We investigated the effectiveness of an Interdisciplinary Home-bAsed Reablement Programme (I-HARP) on improving functional independence, health and well-being of people with dementia, family carer outcomes and costs.
Method: A multicentre pragmatic parallel-arm randomised controlled trial compared I-HARP to usual care in community-dwelling people with mild to moderate dementia and their family carers in Sydney, Australia (2018-2022). I-HARP is a 4-month, home-based, dementia rehabilitation model delivered by an interdisciplinary team.
Sleep Epidemiol
December 2024
Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Objective: To examine longitudinal associations between self-reported sleep disturbances and mobility disability progression among women, including subgroups with multiple sclerosis (MS), diabetes, and osteoarthritis (OA).
Methods: Prospective cohort study using data from Nurses' Health Study long-form questionnaires (2008, 2012, 2014, 2016). Logistic regression was used to quantify associations between sleep-related variables at baseline and subsequent increase in mobility disability.
JAMA Netw Open
January 2025
Department of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri.
Importance: Both sickle cell anemia (SCA) and socioeconomic status have been associated with altered brain structure and cognitive disability, yet precise mechanisms underlying these associations are unclear.
Objective: To determine whether brains of individuals with and without SCA appear older than chronological age and if brain age modeling using brain age gap (BAG) can estimate cognitive outcomes and mediate the association of socioeconomic status and disease with these outcomes.
Design, Setting, And Participants: In this cross-sectional study of 230 adults with and without SCA, individuals underwent brain magnetic resonance imaging (MRI) and cognitive assessment.
Probiotics Antimicrob Proteins
January 2025
School of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Probiotics are live microorganisms that confer health benefits to humans, offering significant potential for preventing and treating various diseases. Neurological disorders, driven by multifaceted factors and linked to high disability rates, have become a growing global concern, particularly in the context of an aging population. Recent studies emphasize a strong connection between dysbiosis of the gut microbiota and neurological disorders.
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