Study on the correlation between fine motor dysfunction and cognitive impairment in middle-aged and elderly populations
10.3760/cma.j.issn.0254-9026.2025.04.007
- VernacularTitle:中老年人群精细运动功能缺陷与认知功能障碍的相关性研究
- Author:
Yejing ZHAO
1
;
Yanyan ZHAO
1
;
Jie ZHANG
1
;
Han CUI
1
;
Ji SHEN
1
;
Ying YUAN
1
;
Wenbin WU
1
;
Hong SHI
1
;
Jing LI
1
Author Information
1. 北京医院老年医学科 国家老年医学中心 中国医学科学院老年医学研究院，北京 100730
- Publication Type:Journal Article
- Keywords:
Fine motor;
Cognitive impairment;
Micro-Electro-Mechanical System Inertial Motion Capture
- From:
Chinese Journal of Geriatrics
2025;44(4):442-450
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To characterize fine motor function in middle-aged and elderly individuals utilizing a novel wearable inertial motion capture device.Additionally, it seeks to investigate the relationship between fine motor deficits and overall cognitive function, as well as various cognitive dimensions.Methods:Participants aged 50 years and older were recruited between November 2022 and April 2023.The Montreal Cognitive Assessment Scale(MoCA)was employed to evaluate the cognitive function of the subjects, and a radar chart was utilized to illustrate the extent of impairment across different cognitive dimensions.An independent computerized fine motor evaluation system was developed using the motion capture technology of a novel wearable microelectromechanical system(MEMS)inertial sensor, enabling a quantitative assessment of fine motor skills.The differences in fine motor function characteristics between the two groups were compared.Spearman's correlation analysis and multivariate logistic regression were conducted to examine the relationship between fine motor deficits and cognitive dysfunction.Results:A total of 289 participants were recruited, among whom 140(48.4%)were classified into the cognitive impairment group.The mean MoCA scores for the cognitive impairment group and the non-cognitive impairment group were 22.2 ± 2.79 and 27.7 ± 1.19, respectively( P<0.001).The electronic assessment of fine motor function revealed that the motion parameters of hand function in the cognitive impairment group were significantly poorer across all three numerical evaluation tasks.Spearman's correlation analysis demonstrated a robust correlation between deficits in fine motor function and cognitive dysfunction.Furthermore, in the multiple logistic regression model, after adjusting for potential confounding factors including age, gender, and education level, a significant association between cognitive dysfunction and fine motor dysfunction persisted. Conclusions:A novel wearable motion capture technology was employed to facilitate the digital assessment of fine motor function.The findings revealed a significant correlation between deficits in fine motor function and cognitive dysfunction among middle-aged and elderly populations.
