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Updated: Jul 29, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Benzodiazepine use and risk of incident MCI and dementia in a community sample
Esther G Teverovsky1, Ariel Gildengers1, Xinhui Ran2
1Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Objectives:
Older adults commonly take benzodiazepines (BZDs) that may have long-term adverse cognitive effects. We investigated whether BZD use was related to developing mild cognitive impairment (MCI) or dementia in cognitively normal older adults in the community.
Setting/Participants:
A population-based cohort (n = 1959) of adults aged 65 and over, recruited from communities of low socioeconomic status.
Measurements:
BZD use, Clinical Dementia Rating (CDR), anxiety symptoms, depression symptoms, sleep difficulties, and APOE genotype.
Design:
We examined time from study entry to MCI (CDR = 0.5) and time from study entry to dementia (CDR ≥ 1) in participants who were cognitively normal at baseline (CDR = 0). We used survival analysis (Cox model), adjusted for age, sex, education, sleep, anxiety, and depression. For all the models, we included an interaction term between BZD use and APOE*4.
Results:
Taking BZDs was significantly associated with higher risk of developing MCI, but not of developing dementia. The effect was not affected by APOE genotype.
Conclusions:
In a population-based sample of cognitively normal older adults, BZD use is associated with developing MCI, but not dementia. BZD use may be a potentially modifiable risk factor for MCI.
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