痴呆
神经心理学
队列
医学
认知
疾病
心理学
正电子发射断层摄影术
人口统计学的
萧条(经济学)
认知功能衰退
阿尔茨海默病
临床心理学
老年学
内科学
精神科
核医学
人口学
经济
社会学
宏观经济学
作者
Lanxin Cui,Linchao Huang,Fengli Pan,Y. Wang,Q. Huang,Yijia Guan,C-Y.Z. Lo,Yuanyuan Guo,Agnes S. Chan,Faliang Xie,Qihui Guo
出处
期刊:JPAD
[Springer Science+Business Media]
日期:2023-01-01
被引量:23
标识
DOI:10.14283/jpad.2023.49
摘要
Large-scale preclinical Alzheimer’s disease study based on β-amyloid positron emission tomography (PET) has not been conducted in China. Establish a cohort on Alzheimer’s disease spectrum, especially the preclinical stages, and determine the factors influencing the acceptance of β-amyloid PET scan screening in China. Longitudinal. Shanghai, China. A total of 4386 participants were screened and 2451 participants who met enrollment criteria were eventually included in this report. The multidimensional data was collected, including comprehensive assessments, PET and magnetic resonance imaging scans, genetics, and plasma biomarkers. There were 571 participants in the normal cognition group, 625 participants in the subjective cognitive decline group, 155 participants in the objectively defined subtle cognitive decline group, 501 participants in the mild cognitive impairment group, 471 participants in Alzheimer’s disease group, and 128 participants with cognitive impairment from other known causes. Significant differences in demographics, florbetapir PET, APOE, and neuropsychological tests were found among the groups. Eight hundred and seventeen participants (33.3%) completed the florbetapir PET scanning. Non-demented individuals with higher age, lower education years, male, with a family history of dementia, and higher self-report depression prefer to undergo PET scans. Acceptance of PET scans did not correlate with objectively assessed cognitive impairment. The Chinese Preclinical Alzheimer’s Disease Study was designed to establish a large-scale cohort with comprehensive data collection. Our findings may help to understand the factors affecting the acceptance of β-amyloid PET in urban areas of China and help us address the low acceptance challenge.
科研通智能强力驱动
Strongly Powered by AbleSci AI