Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study

被引:2
作者
Zhang, Jie [1 ]
Zhao, Ye-Jing [1 ]
Wang, Jun-Yi [2 ]
Cui, Han [1 ]
Li, Shaojie [7 ]
Meng, Xue [3 ]
Cai, Rui-Yu [4 ]
Xie, Juan [5 ]
Sun, Su-Ya [6 ]
Yao, Yao [7 ]
Li, Jing [1 ]
机构
[1] Chinese Acad Med Sci, Beijing Hosp, Inst Geriatr Med, Dept Geriatr Med,Natl Ctr Gerontol, Beijing, Peoples R China
[2] Beijing Normal Univ, Beijing, Peoples R China
[3] Chinese Acad Med Sci, Beijing Hosp, Inst Geriatr Med, Off Natl Clin Res Ctr Geriatr Dis,Natl Ctr Geronto, Beijing, Peoples R China
[4] Zhucheng Peoples Hosp, Dept Geriatr Med, Weifang, Shandong, Peoples R China
[5] Hefei First Peoples Hosp, Geriatr Dept, Hefei, Peoples R China
[6] Tangshan Gong Ren Hosp, Dept Geriatr, Tangshan, Hebei, Peoples R China
[7] Peking Univ, China Ctr Hlth Dev Studies, Beijing, Peoples R China
关键词
Fine motor movement; Cognitive function; MEMS motion capture technology; Various dimensions assessment; IMPAIRMENT; DISEASE; SKILLS; BRAIN;
D O I
10.1186/s12877-024-04725-8
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
BackgroundFine motor skills are closely related to cognitive function. However, there is currently no comprehensive assessment of fine motor movement and how it corresponds with cognitive function. To conduct a complete assessment of fine motor and clarify the relationship between various dimensions of fine motor and cognitive function.MethodsWe conducted a cross-sectional study with 267 community-based participants aged >= 60 years in Beijing, China. We assessed four tests performance and gathered detailed fine motor indicators using Micro-Electro-Mechanical System (MEMS) motion capture technology. The wearable MEMS device provided us with precise fine motion metrics, while Chinese version of the Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. We adopted logistic regression to analyze the relationship between fine motor movement and cognitive function.Results129 (48.3%) of the participants had cognitive impairment. The vast majority of fine motor movements have independent linear correlations with MoCA-BJ scores. According to logistic regression analysis, completion time in the Same-pattern tapping test (OR = 1.033, 95%CI = 1.003-1.063), Completion time of non-dominant hand in the Pieces flipping test (OR = 1.006, 95%CI = 1.000-1.011), and trajectory distance of dominant hand in the Pegboard test (OR = 1.044, 95%CI = 1.010-1.068), which represents dexterity, are related to cognitive impairment. Coordination, represented by lag time between hands in the Same-pattern tapping (OR = 1.663, 95%CI = 1.131-2.444), is correlated with cognitive impairment. Coverage in the Dual-hand drawing test as an important indicator of stability is negatively correlated with cognitive function (OR = 0.709, 95%CI = 0.6501-0.959). Based on the above 5-feature model showed consistently high accuracy and sensitivity at the MoCA-BJ score (ACU = 0.80-0.87).ConclusionsThe results of a comprehensive fine-motor assessment that integrates dexterity, coordination, and stability are closely related to cognitive functioning. Fine motor movement has the potential to be a reliable predictor of cognitive impairment.
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页数:10
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