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Updated: Jul 5, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Risk profiles for mild cognitive impairment and progression to dementia are gender specific
S Artero1, M-L Ancelin, F Portet
1Inserm U888, Nervous System Pathologies: Epidemiological and Clinical Research, La Colombière Hospital, 34093 Montpellier Cedex 5, France.
This study found distinct risk factors for mild cognitive impairment (MCI) and dementia progression in older adults. Men and women exhibit different risk profiles, highlighting the need for tailored interventions for cognitive health.
Area of Science:
- Gerontology
- Neurology
- Epidemiology
Background:
- Mild cognitive impairment (MCI) affects a significant portion of the elderly population.
- Understanding risk factors for MCI and its progression to dementia is crucial for public health.
- Previous studies have identified various risk factors, but gender-specific differences require further investigation.
Purpose of the Study:
- To investigate the risk factors associated with mild cognitive impairment (MCI) in individuals aged 65 and over.
- To identify predictors for the progression from MCI to dementia in this demographic.
- To explore potential gender-specific differences in these risk factors.
Main Methods:
- A prospective, community-based cohort study involving 6892 participants aged 65+ without dementia.
- Cognitive performance, dementia diagnosis, and clinical/environmental risk factors were assessed at baseline, 2, and 4 years.
- Logistic regression models were used to adjust for confounding variables.
Main Results:
- 42% of participants had MCI at baseline. Both genders with MCI were more likely to have depressive symptoms and use anticholinergic drugs.
- Men: higher BMI, diabetes, stroke. Women: poor subjective health, disability, social isolation, insomnia.
- Key progression factors for men: ApoE4, stroke, low education, IADL loss, age. For women: IADL loss, ApoE4, low education, depression, anticholinergic drugs, age.
Conclusions:
- Significant gender differences exist in risk profiles for MCI and dementia progression.
- Intervention strategies should be tailored, focusing on stroke risk in men and depressive symptoms/anticholinergic use in women.
- These findings emphasize the importance of personalized approaches to cognitive health in aging populations.
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