阿尔茨海默病及相关病2025，Vol.8Issue(5)：297-303,7.DOI:10.3969/j.issn.2096-5516.2025.05.002
异常驾驶行为成为新的阿尔茨海默病预警信号:多源数据融合与分析
Abnormal driving behavior becomes a new warning signal for Alzheimer's disease:Multi-source data synthesis and analysis
摘要
Abstract
Objective:To comprehensively evaluate the effectiveness of driving ability as a predictor for Alzheimer's disease(AD),explore relevant data collection and analysis methods,and identify valid early warning indicators.Methods:Computerized searches were conducted in databases including CNKI,CBM,Wanfang,VIP,PubMed,and Web of Science to identify studies using driving ability for AD prediction.Literature meeting inclusion criteria was screened,and data quality was assessed.Relevant information was extracted,and heterogeneous data were integrated.Principal component analysis(PCA)was used to evaluate the importance of indicators in the driving-based warning system.Meta-analysis was performed to assess the effect of AD on driving ability.Subgroup analysis was conducted to reduce intergroup heterogeneity,with stratification based on age,gender,and Mini-Mental State Examination(MMSE)scores to examine differences in effects across groups.A multifactorial interaction subgroup analysis was further proposed to minimize intergroup heterogeneity,analyzing the combined influence of age,gender,and MMSE scores on statistical outcomes.Results:After screening,12 studies were included.PCA results identified the three most significant indicators:spatial control(9.13%),emotional adaptation(8.78%),and navigation execution(8.36%).Meta-analysis and subgroup analysis revealed that older female patients with low MMSE scores exhibited the most severe driving-related cognitive impairment(SMD=-0.75,P<0.001).Additionally,among male AD patients,the high-score MMSE group showed a greater absolute effect size(ΔSMD=-0.22,P<0.001).Multifactorial interaction subgroup analysis explained 78%of the heterogeneity(Q=12.37,P=0.006).Conclusion:This study provides preliminary evidence that abnormal driving behavior can serve as a novel biomarker for early AD detection,with spatial orientation,emotional stability,and navigation ability identified as core indicators.However,the warning system must account for population differences(higher sensitivity in older females)and individual baseline variations(longitudinal self-referencing).关键词
数据融合/异常驾驶行为/阿尔茨海默病/认知障碍/预警信号Key words
Data fusion/Abnormal driving behavior/Alzheimer's disease/Cognitive impairment/Early warning signals分类
医药卫生引用本文复制引用
唐润璇,李君枝,郝奕婷,张欣然,张莹..异常驾驶行为成为新的阿尔茨海默病预警信号:多源数据融合与分析[J].阿尔茨海默病及相关病,2025,8(5):297-303,7.基金项目
北京交通大学大学生创新项目(2024100041012) （2024100041012）
