Subjective sleep quality in non-demented older adults with and without cognitive impairment

Adam, Anne-Marie; Potvin, Olivier; Callahan, Brandy L.; Bastien, Célyne; Lorrain, Dominique; Desjardins, Sophie; Forget, Hélène; Préville, Michel; Hudon, Carol

doi:10.1002/gps.4087

Cited by 10 publications

(11 citation statements)

References 29 publications

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“…We found no association between PSQI global score or other components with cognitive function, consistent with several cross-sectional studies [6,9]. However, some other case-control and cross-sectional studies reported that poor sleep quality assessed by global score was associated with poor cognitive performance [10,18,26].…”

Section: Insupporting

confidence: 89%

“…A total of 60-70% dementia patients had sleep disturbance [5]. Some previous studies reported no association [6][7][8][9], while others reported a positive association between sleep quality and cognitive function [10][11][12][13][14][15][16][17]. Some studies did not adjust for depressive symptoms, an important confounder of the association between sleep and cognition, and might result in a bias of the association away from the null [11,18,19].…”

Section: Introductionmentioning

confidence: 99%

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Sleep quality and cognitive impairment in older Chinese: Guangzhou Biobank Cohort Study

Xiao

Jiang

et al. 2019

Age and Ageing

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Background evidence concerning the relationship between sleep quality and cognitive impairment is limited and inconsistent. Objective to examine the association of sleep quality with memory impairment and poor cognitive function in a large sample of older Chinese. Methods 15,246 participants aged 50+ years of the Guangzhou Biobank Cohort Study who attended the second physical examination from 2008 to 2012 were included. Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI), and cognitive performance was assessed using both Delayed Word Recall Test (DWRT) and Mini-Mental State Examination (MMSE). Memory impairment was defined by DWRT score < 4 and poor cognitive function by MMSE score < 25. Results after adjusting for potential confounders, lower habitual sleep efficiency was associated with a higher risk of memory impairment and poor cognitive function with a dose-response pattern (both P for trend <0.001). The adjusted odds ratio (OR, 95% confidence interval (CI)) for poor cognitive function in those with the sleep efficiency of 75–85%, 65–75% and <65%, versus ≥85%, was 1.31 (1.12–1.53), 1.41 (1.16–1.73) and 1.33 (1.09–1.63), respectively. No association of the global PSQI score with memory impairment or poor cognitive function was found. Conclusions in older Chinese people, lower habitual sleep efficiency was associated with a higher risk of memory impairment and poorer cognitive function.

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Section: Insupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Sleep quality and cognitive impairment in older Chinese: Guangzhou Biobank Cohort Study

Xiao

Jiang

et al. 2019

Age and Ageing

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“…Previous research on predictors of subjective sleep quality in patients with memory impairment has yielded conflicting data[ 28 ]. McKinnon et al [ 3 ]reported that depressive symptoms explained the largest portion of variance in PSQI (sub-)scores, which is line with our findings.…”

Section: Discussionmentioning

confidence: 99%

Depressive Symptoms are the Main Predictor for Subjective Sleep Quality in Patients with Mild Cognitive Impairment—A Controlled Study

et al. 2015

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ObjectiveControlled data on predictors of subjective sleep quality in patients with memory complaints are sparse. To improve the amount of comprehensive data on this topic, we assessed factors associated with subjective sleep quality in patients from our memory clinic and healthy individuals.MethodsBetween February 2012 and August 2014 patients with mild cognitive impairment (MCI) and subjective cognitive decline (SCD) from our memory clinic and healthy controls were recruited. Apart from a detailed neuropsychological assessment, the subjective sleep quality, daytime sleepiness and depressive symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS) and the Beck Depression Inventory (BDI-II).ResultsOne hundred fifty eight consecutive patients (132 (84%) MCI patients and 26 (16%) SCD patients) and 75 healthy controls were included in the study. Pairwise comparison of PSQI scores showed that non-amnestic MCI (naMCI) patients (5.4±3.5) had significantly higher PSQI scores than controls (4.3±2.8, p = .003) Pairwise comparison of PSQI subscores showed that naMCI patients (1.1±0.4) had significantly more “sleep disturbances” than controls (0.9±0.5, p=.003). Amnestic MCI (aMCI) (0.8±1.2, p = .006) and naMCI patients (0.7±1.2, p = .002) used “sleep medication” significantly more often than controls (0.1±0.6) Both, aMCI (11.5±8.6, p<.001) and naMCI (11.5±8.6, p<.001) patients showed significantly higher BDI-II scores than healthy controls (6.1±5.3). Linear regression analysis showed that the subjective sleep quality was predicted by depressive symptoms in aMCI (p<.0001) and naMCI (p<.0001) patients as well as controls (p<.0001). This means, that more depressive symptoms worsened subjective sleep quality. In aMCI patients we also found a significant interaction between depressive symptoms and global cognitive function (p = .002)DiscussionDepressive symptoms were the main predictor of subjective sleep quality in MCI patients and controls, but not in SCD patients. Better global cognitive function ameliorated the negative effect of depressive symptoms on the subjective sleep quality in aMCI patients.

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“…Ninety-minute-long structured interviews were administered at the participants’ homes by health professionals who had been given 2 days of training on the computerized questionnaire, which was based on the DSM-IV-TR and was similar to other questionnaires of this type, such as the Diagnostic Interview Schedule, which has a good degree of validity and reliability 31. The questionnaire was adapted for older persons 32,33. The interview also included basic questions on sociodemographic data.…”

Section: Methodsmentioning

confidence: 99%

Sleep problems in anxious and depressive older adults

Leblanc

Desjardins

Desgagné

2015

PRBM

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PurposeThe objective of this study was to identify the sleep problems most often encountered by the elderly according to the presence or absence of anxiety and mood disorders. The aim was also to determine whether groups of anxious, depressive, and asymptomatic individuals differ in relation to sleep onset latency; awakenings at night or early in the morning; subjective quality of sleep; taking of sleep medication; and daytime sleepiness.MethodsStructured interviews based on the DSM-IV-TR were administered to a sample of 2,759 seniors aged 65 years and older at the participants’ home by health professionals.ResultsAwakening was found to be the most common disturbance. Increased sleep onset latency was the second most frequent sleep difficulty. Taking more than 30 minutes to fall asleep was associated with the likelihood of meeting the diagnostic criteria for an anxiety disorder, and even reduced the risk of meeting the diagnostic criteria for a mood disorder rather than an anxiety disorder. Awakenings were associated with the probability of suffering from an anxiety disorder or a mood disorder. Quality of sleep, as perceived by the elderly, was not found to be associated with the probability of suffering from a mental disorder.ConclusionThese findings should help to facilitate the practitioner’s diagnosis and add further nuances to be considered when encountering symptoms of an anxious or depressive appearance. All of these data also add fuel to the ongoing debate about whether anxiety and depression are one or two distinct categories of disorders.

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Subjective sleep quality in non-demented older adults with and without cognitive impairment

Abstract: Overall, these results suggest that subjective measures of sleep do not allow differentiating cognitively impaired older individuals from those with normal cognition.

Cited by 10 publications

References 29 publications

Sleep quality and cognitive impairment in older Chinese: Guangzhou Biobank Cohort Study

Sleep quality and cognitive impairment in older Chinese: Guangzhou Biobank Cohort Study

Depressive Symptoms are the Main Predictor for Subjective Sleep Quality in Patients with Mild Cognitive Impairment—A Controlled Study

Sleep problems in anxious and depressive older adults

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