Dementia is a common disease in elderly people, with its prevalence expanding rapidly worldwide. Longitudinal and cohort studies on lifestyle and health conditions are needed to identify the risk of dementia. This study aimed to identify the risk factors for dementia incidence in Japan and to clarify the strategy for its primary care. In this study, an analysis was performed to investigate the association between the cognitive faculty level of the long-term care certification survey and the previous results of the specific health checkups in Japan. To investigate the risk factor for dementia incidence, a multivariable logistic regression analysis was performed, which showed a significant odds ratio for the incidence of dementia for two items, including abdominal circumference and insulin injections or oral hypoglycemic medications. The findings of our study suggested that a lower abdominal circumference had a higher risk for dementia incidence, and individuals who received insulin injections or oral hypoglycemic medications had a higher risk for dementia incidence based on the results of the health checkups conducted 10 years previously. Further, longer duration study with a larger sample is needed to identify the items from the specific health checkups that are associated with the risk of dementia.
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http://dx.doi.org/10.3390/healthcare8040491 | 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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