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

Western Sydney University

Research output: Contribution to journal › Article › peer-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 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 - 2014

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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.",

author = "Andrew McKinnon and Zoe Terpening and Hickie, {Ian B.} and Jennifer Batchelor and Ron Grunstein and Lewis, {Simon J. G.} and Naismith, {Sharon L.}",

year = "2014",

doi = "10.1177/0891988714527516",

language = "English",

volume = "27",

pages = "204--211",

journal = "Journal of Geriatric Psychiatry and Neurology",

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TY - JOUR

T1 - Prevalence and predictors of poor sleep quality in mild cognitive impairment

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

Y1 - 2014

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.

UR - https://hdl.handle.net/1959.7/uws:75127

U2 - 10.1177/0891988714527516

DO - 10.1177/0891988714527516

M3 - Article

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VL - 27

SP - 204

EP - 211

JO - Journal of Geriatric Psychiatry and Neurology

JF - Journal of Geriatric Psychiatry and Neurology

IS - 3

ER -

Prevalence and predictors of poor sleep quality in mild cognitive impairment

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