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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Factors associated with the risk of falls and their relationship with cognitive function in older adults with
María Del Mar Carcelén-Fraile1, María Del Carmen Carcelén-Fraile2, Fidel Hita-Contreras1
1Department of Health Sciences, Faculty of Health Sciences, University of Jaén, Jaén, Spain.
Abstract:
This study aimed to analyze the associations between cognitive function and factors linked to risk of falls in older adults with mild cognitive impairment (MCI). A cross-sectional design was applied in 129 older adults (mean age: 69.93 ± 3.84 years) diagnosed with MCI. Cognitive performance was evaluated with the MMSE, MoCA, Isaacs Test, Trail Making Test (TMT-A, TMT-B), D2 Test, and DSST. Risk of falls was assessed through the Tinetti Test, ABC-16 scale, and FES-I. Additional measures included gait speed, grip strength, and global physical function. Average MMSE and MoCA scores were 20.97 and 21.45, respectively. Regression models showed significant associations between cognitive and physical outcomes. Lower MMSE scores were related to weaker grip, slower gait, and greater risk of falls (R2 = 0.053; p < 0.05). Lower MoCA scores was associated with reduced physical function, lower balance confidence, increased fear of falling, weaker grip, and higher risk of falls (R2 = 0.107; p < 0.05). Isaacs performance was linked to grip strength, gait, balance, and fear of falling (R2 = 0.126; p < 0.05). Both TMT-A and TMT-B correlated with grip, balance confidence, and risk of falls; TMT-A also with gait speed (R2 = 0.059) and TMT-B with physical function (R2 = 0.087). D2 scores were associated with function, gait, balance, and risk of falls (R2 = 0.173 and 0.153). DSST performance correlated with all physical and psychological outcomes (R2 = 0.133; p < 0.05). Cognitive performance is closely tied to physical and psychological factors associated with risk of falls in older adults with MCI. These findings emphasize the need for comprehensive, multidimensional assessments to identify risk profiles and develop targeted preventive interventions.
Insights
Cognitive function in older adults with mild cognitive impairment (MCI) is strongly linked to fall risk factors. Addressing cognitive and physical health is crucial for preventing falls in this population.
Area of Science:
- Gerontology
- Neuroscience
- Public Health
Background:
- Mild cognitive impairment (MCI) is a risk factor for falls in older adults.
- Understanding the relationship between cognitive function and fall risk is essential for developing effective interventions.
Purpose of the Study:
- To analyze the associations between various cognitive functions and factors contributing to fall risk in older adults diagnosed with MCI.
- To identify specific cognitive tests that correlate with physical and psychological fall risk indicators.
Main Methods:
- A cross-sectional study involving 129 older adults with MCI.
- Cognitive function assessed using MMSE, MoCA, Isaacs Test, TMT-A, TMT-B, D2 Test, and DSST.
- Fall risk evaluated via Tinetti Test, ABC-16, FES-I, gait speed, grip strength, and physical function.
Main Results:
- Lower scores on MMSE and MoCA were associated with weaker grip, slower gait, reduced physical function, increased fear of falling, and higher fall risk.
- Performance on Isaacs Test, TMT-A, TMT-B, D2 Test, and DSST showed significant correlations with various physical function, balance, and fall risk measures.
- DSST performance correlated with all assessed physical and psychological outcomes.
Conclusions:
- Cognitive performance is closely associated with physical and psychological factors that increase fall risk in older adults with MCI.
- Comprehensive, multidimensional assessments are necessary to identify individuals at risk and implement targeted fall prevention strategies.
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