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

doi:10.1177/0891988714527516

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 journal › Article › peer-review

59 Citations (Scopus)

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 language	English
Pages (from-to)	204-211
Number of pages	8
Journal	Journal of Geriatric Psychiatry and Neurology
Volume	27
Issue number	3
DOIs	https://doi.org/10.1177/0891988714527516
Publication status	Published - 1 Sept 2014

Keywords

depression
mild cognitive impairment
sleep disturbance
sleep quality

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10.1177/0891988714527516

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title = "Prevalence and predictors of poor sleep quality in mild cognitive impairment",

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.",

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AU - McKinnon, Andrew

AU - Terpening, Zoe

AU - Hickie, Ian B.

AU - Batchelor, Jennifer

AU - Grunstein, Ron

AU - Lewis, Simon J G

AU - Naismith, Sharon L.

PY - 2014/9/1

Y1 - 2014/9/1

N2 - 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.

AB - 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.

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Prevalence and predictors of poor sleep quality in mild cognitive impairment

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Keywords

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