ArticleBMC geriatrics2024
Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Early Detection of Cognitive Impairment Using Time-Frequency Analysis of Fine Motor Accelerometry.Annals of biomedical engineering · 2026Article
- Rehabilitation Nursing Care for Older Adults with Impaired Fine Motor Function: From Design to Validation.Nursing reports (Pavia, Italy) · 2025Article
- The relationship between hearing loss and cognitive function in the elderly: the mediating effect of social isolation.BMC geriatrics · 2025Article
- From fingers to brain: virtual reality-based test capturing fine hand movements predicts cognitive function in older adults.Innovation in aging · 2025Article
- Virtual reality-enhanced rehabilitation for improving musculoskeletal function and recovery after trauma.Journal of orthopaedic surgery and research · 2025Review
- Motor function tests as early indicators of cognitive and functional decline in older adults: A correlational study.PloS one · 2025Article
- Hand dexterity and mobility independently predict cognition in older adults: a multi-domain regression analysis.Frontiers in aging neuroscience · 2025Article
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Authors and funding
11 authors at 6 institutions in 1 country.
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Abstract
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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