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Updated: Mar 11, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Risk Factors for Mild Cognitive Impairment in German Primary Care Practices
Louis Jacob1, Jens Bohlken2, Karel Kostev3
1Department of Biology, École Normale Supérieure de Lyon, Lyon, France.
Background:
Mild cognitive impairment (MCI) is a common mental disorder affecting around 16% of elderly people without dementia. MCI is considered an intermediate state between normal cognition and dementia.
Objective:
To analyze risk factors for the development of MCI in German primary care practices.
Methods:
In total, 3,604 MCI patients and 3,604 controls without MCI were included between January 2010 and December 2015. Several disorders potentially associated with MCI were determined. Multivariate logistic regression models were fitted with MCI as a dependent variable and other disorders as potential predictors.
Results:
The mean age was 75.2 years and 45.3% of patients were men. MCI development was found to be associated with 12 disorders: intracranial injury, anxiety disorder, depression, mental and behavioral disorders due to alcohol use, stroke, hyperlipidemia, obesity, hypertension, Parkinson's disease, sleep disorder, coronary heart disease, and diabetes with odds ratios ranging from 1.13 (diabetes) to 2.27 (intracranial injury).
Conclusion:
Intracranial injury, anxiety, and depression showed the strongest association with MCI. Further analyses are needed to gain a better understanding of the MCI risk factors.
Insights
Mild cognitive impairment (MCI) is linked to 12 health conditions, including head injuries, anxiety, and depression. Understanding these risk factors is crucial for preventing dementia progression in older adults.
Area of Science:
- Gerontology
- Neurology
- Public Health
Background:
- Mild cognitive impairment (MCI) affects approximately 16% of the elderly population.
- MCI represents an intermediate stage between normal cognition and dementia.
Purpose of the Study:
- To identify risk factors associated with the development of MCI.
- Analysis conducted within German primary care practices.
Main Methods:
- Included 3,604 MCI patients and 3,604 controls.
- Determined disorders potentially linked to MCI.
- Utilized multivariate logistic regression models.
Main Results:
- MCI was associated with 12 disorders, including intracranial injury, anxiety, depression, stroke, hypertension, and diabetes.
- Odds ratios ranged from 1.13 for diabetes to 2.27 for intracranial injury.
- Intracranial injury, anxiety disorder, and depression exhibited the strongest associations.
Conclusions:
- Several specific disorders are significantly associated with MCI development.
- Further research is necessary to fully elucidate MCI risk factors and inform interventions.
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