Objectives: This study examined the association between life-space activities and incident dementia among older adults.
Study Design: A prospective study.
Setting And Participants: This study included 2740 older adults (mean age 74.4 years; SD ± 6.2 years; range 65-99 years; 58.8% women).
Methods: Life-space activities were assessed using the Active Mobility Index (AMI). Incident dementia was determined using medical insurance data and long-term care insurance data (mean follow-up, 53.7 months).
Results: During the follow-up period, 326 participants (11.9%) had incident dementia. Participants were classified into 3 groups based on AMI score tertiles: tertile 1, ≤52; tertile 2, 53-77; and tertile 3, ≥78. The Cox proportional hazards model was used to examine the association between AMI scores and incident dementia. Individuals with higher scores had lower hazard ratios (HRs) (tertile 1: reference; tertile 2: adjusted HR, 0.76, 95% CI, 0.59-0.97, P = .027; tertile 3: adjusted HR, 0.49, 95% CI, 0.36-0.68, P < .001; P for trend: <.001). Both the physical and social AMI sub-scores were associated with dementia (P for trend: <.001).
Conclusions And Implications: Restricted life-space activity, as assessed using the AMI, was associated with the risk of dementia. In addition, both the physical and social sub-scores were associated with dementia.
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http://dx.doi.org/10.1016/j.jamda.2024.105416 | DOI Listing |
Sci Rep
December 2024
The School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou, 350122, Fujian, China.
Diabetes Mellitus combined with Mild Cognitive Impairment (DM-MCI) is a high incidence disease among the elderly. Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Alzheimer's disease (AD) is a chronic, progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired reasoning. It is the leading cause of dementia in older adults, marked by the pathological accumulation of amyloid-beta plaques and neurofibrillary tangles. These pathological changes lead to widespread neuronal damage, significantly impacting daily functioning and quality of life.
View Article and Find Full Text PDFAlzheimers Res Ther
December 2024
Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, Guangdong Province, 510630, China.
Background: Dementia is a major public health challenge in modern society. Early detection of high-risk dementia patients and timely intervention or treatment are of significant clinical importance. Neural network survival analysis represents the most advanced technology for survival analysis to date.
View Article and Find Full Text PDFTurk J Med Sci
December 2024
Neurology Department, Gülhane Training and Research Hospital, University of Health Sciences, Ankara, Turkiye.
Neurological disorders encompass a complex and heterogeneous spectrum of diseases affecting the brain, spinal cord, and peripheral nervous system, each presenting unique challenges that extend well beyond primary neurological symptoms. These disorders profoundly impact cardiovascular health, prompting an intensified exploration into the intricate interconnections between the neurological and cardiovascular systems. This review synthesizes current insights and research on cardiovascular comorbidities associated with major neurological conditions, including stroke, epilepsy, Parkinson's disease, multiple sclerosis, and Alzheimer's disease.
View Article and Find Full Text PDFFront Neurosci
December 2024
Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China.
Background: Cerebral Microbleeds (CMBs) serve as critical indicators of cerebral small vessel disease and are strongly associated with severe neurological disorders, including cognitive impairments, stroke, and dementia. Despite the importance of diagnosing and preventing CMBs, there is a significant lack of effective predictive tools in clinical settings, hindering comprehensive assessment and timely intervention.
Objective: This study aims to develop a robust predictive model for CMBs by integrating a broad range of clinical and laboratory parameters, enhancing early diagnosis and risk stratification.
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