Background: By 2050, worldwide dementia prevalence is expected to triple. Affordable, scalable interventions are required to support protective behaviours such as physical activity, cognitive training and healthy eating. This paper outlines the theory-, evidence- and person-based development of 'Active Brains': a multi-domain digital behaviour change intervention to reduce cognitive decline amongst older adults.
Methods: During the initial planning phase, scoping reviews, consultation with PPI contributors and expert co-investigators and behavioural analysis collated and recorded evidence that was triangulated to inform provisional 'guiding principles' and an intervention logic model. The following optimisation phase involved qualitative think aloud and semi-structured interviews with 52 older adults with higher and lower cognitive performance scores. Data were analysed thematically and informed changes and additions to guiding principles, the behavioural analysis and the logic model which, in turn, informed changes to intervention content.
Results: Scoping reviews and qualitative interviews suggested that the same intervention content may be suitable for individuals with higher and lower cognitive performance. Qualitative findings revealed that maintaining independence and enjoyment motivated engagement in intervention-targeted behaviours, whereas managing ill health was a potential barrier. Social support for engaging in such activities could provide motivation, but was not desirable for all. These findings informed development of intervention content and functionality that appeared highly acceptable amongst a sample of target users.
Conclusions: A digitally delivered intervention with minimal support appears acceptable and potentially engaging to older adults with higher and lower levels of cognitive performance. As well as informing our own intervention development, insights obtained through this process may be useful for others working with, and developing interventions for, older adults and/or those with cognitive impairment.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371874 | PMC |
http://dx.doi.org/10.1186/s40814-021-00884-2 | DOI Listing |
JAMA Health Forum
January 2025
Division of General Internal Medicine, University of Pennsylvania, Philadelphia.
Importance: Dual-eligible older adults rely on Medicaid to pay for Medicare premiums and cost sharing in addition to supplemental services including dental and long-term care. However, the unique experiences of dual-eligible older adults with Medicaid unwinding remain unknown.
Objective: To assess the awareness and experiences of dual-eligible older adults with Medicaid redetermination.
JAMA Health Forum
January 2025
Department of Health Systems, Management, and Policy, University of Colorado Cancer Center, Aurora.
Importance: Medicare Advantage (MA) plans are designed to incentivize the use of less expensive drugs through capitated payments, formulary control, and preauthorizations for certain drugs. These conditions may reduce spending on high-cost therapies for conditions such as cancer, a condition that is among the most expensive to treat.
Objective: To determine whether patients insured by MA plans receive less high-cost drugs than those insured by traditional Medicare (TM).
JAMA Netw Open
January 2025
National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Importance: Sleep disorders and mild cognitive impairment (MCI) commonly coexist in older adults, increasing their risk of developing dementia. Long-term tai chi chuan has been proven to improve sleep quality in older adults. However, their adherence to extended training regimens can be challenging.
View Article and Find Full Text PDFJ Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Minerva Urol Nephrol
January 2025
Department of Urology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China -
Background: The rising incidence of kidney stones underscores the imperative to devise effective preventive measures. While a robust association between cardiovascular disease (CVD) and kidney stones exists, the current research landscape lacks investigations between cardiovascular health (CVH) and kidney stones. This study aims to explore the association between CVH, assessed by Life's Essential 8 (LE8), and kidney stones, with the role of blood lipids and insulin resistance in this relationship.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!