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Sleep and Breathing
Published in: Sleep and Breathing 1/2022

01-03-2022 | Alzheimer's Disease | Neurology • Original Article

Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease

Authors: Alberto Corbi, Daniel Burgos

Published in: Sleep and Breathing | Issue 1/2022

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Abstract

Background

Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. However, the relationship between AD (in all stages) and bedtime behavior has not been thoroughly investigated.

Methods

In a prospective, cross-sectional survey, we evaluated 74 women categorized in two different stages of cognitive decline associated with AD (mild and severe) along with 37 women with no cognitive decline who served as controls. We obtained demographic and medical information such as age, health status, and medication, as well as psychiatrically confirmed staging of AD. We also collected actigraphy data for several nights in a row with a medical grade wristband using a 3-axis accelerometer and solid-state on-board memory. These data served as parameters for a clustering machine learning (ML) algorithm.

Results

The ML process was able to unsupervisedly identify 85% of the participants according to their pre-assigned degree of dementia. When the clustering was carried out in a binary fashion (i.e., only taking into account healthy members vs. severely affected AD patients), it was possible to correctly classify 91% of the cases.

Conclusions

This study revealed a strong connection between the severity of the intellectual decline and the features distilled from actigraphically derived sleep parameters.
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Metadata
Title
Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease
Authors
Alberto Corbi
Daniel Burgos
Publication date
01-03-2022
Publisher
Springer International Publishing
Published in
Sleep and Breathing / Issue 1/2022
Print ISSN: 1520-9512
Electronic ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-021-02327-x

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WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

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