Skip to main navigation Skip to search Skip to main content

Prevalence and predictors of poor sleep quality in mild cognitive impairment

Andrew McKinnon, Zoe Terpening, Ian B. Hickie, Jennifer Batchelor, Ron Grunstein, Simon J G Lewis, Sharon L. Naismith*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Aims: To investigate the prevalence of and contributors to poor sleep quality in patients with mild cognitive impairment (MCI). Methods: Data were collected for 158 patients meeting the criteria for MCI. Measures included the Pittsburgh Sleep Quality Index, Geriatric Depression Scale, and Mini-Mental State Examination. Demographic, lifestyle, medication, and substance use data were also collected. Results: A total of 63% of patients with MCI demonstrated sleep disturbance, a significantly higher rate than that of the controls (44%; chi-square = 8.77; P = .003). Depressive symptoms, cognition, antidepressant usage, alcohol consumption, age, and education were identified as significant predictors of self-reported sleep quality in patients with MCI (R2 = .327, F6,145 = 11.729, P < .0001). Conclusions: Sleep disturbance occurs in around two-thirds of patients with MCI. Interventions addressing depression, cognition, and substance and medication use may improve sleep quality in MCI.

    Original languageEnglish
    Pages (from-to)204-211
    Number of pages8
    JournalJournal of Geriatric Psychiatry and Neurology
    Volume27
    Issue number3
    DOIs
    Publication statusPublished - 1 Sept 2014

    Keywords

    • depression
    • mild cognitive impairment
    • sleep disturbance
    • sleep quality

    Fingerprint

    Dive into the research topics of 'Prevalence and predictors of poor sleep quality in mild cognitive impairment'. Together they form a unique fingerprint.

    Cite this