Characteristics of Sleep Structure Assessed by Objective Measurements in Patients With Amnestic Mild Cognitive Impairment: A Meta-Analysis

Cai, Sijie; Li, Tingting; Zhang, Li; Shi, Longhua; Liao, Jingling; Li, Wenfang; Cheng, Guangwen; Tan, Wei; Rong, Shuang

doi:10.3389/fneur.2020.577126

Cited by 10 publications

(12 citation statements)

References 56 publications

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“… 55 Sleep metrics assessed via PSG or actigraphy between these two groups indicate no differences in total sleep time, sleep latency, REM percentage, or wake after sleep onset between these groups across 278 subjects in a meta‐analysis of eight studies. 55 Differences along the AD continuum are important factors to assess, as less time in REM and deep sleep and greater sleep disruptions may reflect the progression to AD. 56 , 57 Our study will contribute to the limited data available on sleep characteristics and quality in people with MCI.…”

Section: Discussionmentioning

confidence: 95%

“…To date, one systematic review on sleep in MCI has quantified macro and micro sleep architecture changes compared to age‐matched controls. Differences between individuals with aMCI versus normal cognition indicate lower slow wave sleep and sleep efficiency in aMCI 55 . Sleep metrics assessed via PSG or actigraphy between these two groups indicate no differences in total sleep time, sleep latency, REM percentage, or wake after sleep onset between these groups across 278 subjects in a meta‐analysis of eight studies 55 .…”

Section: Discussionmentioning

confidence: 96%

“…Differences between individuals with aMCI versus normal cognition indicate lower slow wave sleep and sleep efficiency in aMCI 55 . Sleep metrics assessed via PSG or actigraphy between these two groups indicate no differences in total sleep time, sleep latency, REM percentage, or wake after sleep onset between these groups across 278 subjects in a meta‐analysis of eight studies 55 . Differences along the AD continuum are important factors to assess, as less time in REM and deep sleep and greater sleep disruptions may reflect the progression to AD 56,57 .…”

Section: Discussionmentioning

confidence: 99%

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Ketogenic dietary lifestyle intervention effects on sleep, cognition, and behavior in mild cognitive impairment: Study design

Sanderlin

Hayden

Baker

et al. 2022

A&D Transl Res & Clin Interv

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Introduction Sleep and diet are modifiable risk factors for Alzheimer's disease (AD) that may be salient areas for the development of preventive intervention strategies against dementia in people with mild cognitive impairment (MCI). Sleep disturbances account for up to 15% of the population attributable risk for AD. Diet influences sleep quality, such that diets high in sugars, fat, and processed food affect sleep quality and cognition in older adults. The combination of poor sleep and diet health may increase risk for dementia in people with MCI, yet it is unknown how intervening on diet may influence sleep health. Methods The MCI Sleep Study assesses longitudinal changes in objective and subjective measures of sleep between two investigational diet groups in the Brain Energy for Amyloid Transformation in Alzheimer's Disease study: the modified Mediterranean ketogenic diet (MMKD) and the American Heart Association diet. Objective sleep assessments include an in‐home sleep study using the WatchPAT Central Plus (Itamar Medical, Ltd) at baseline and the end of the 4‐month diet intervention. Subjective sleep questionnaires include the Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index. The MCI Sleep Study outcome measures include longitudinal change in cognitive performance, mood, behavior, and quality of life. Results Study recruitment is currently ongoing. We hypothesize the low‐carb MMKD diet to have a beneficial impact on sleep health in individuals with MCI. Pre‐ and post‐diet changes in sleep metrics across diet groups will be examined using mixed effects analysis of variance models. Discussion Early assessment of chronic sleep and diet behaviors may be vital in understanding when interventions are necessary and the lifestyle modifications that should accompany future AD prevention and therapy recommendations.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Ketogenic dietary lifestyle intervention effects on sleep, cognition, and behavior in mild cognitive impairment: Study design

Sanderlin

Hayden

Baker

et al. 2022

A&D Transl Res & Clin Interv

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show abstract

“…Analyzing sleep patterns would provide valuable insights into which specific sleep disturbances are associated with aMCI. A system review found that individuals with aMCI may experience more disturbances in sleep efficiency and slow-wave sleep ( 66 ). Therefore, further longitudinal analyses of cohorts will be necessary to fully evaluate the associations between sleep and aMCI.…”

Section: Discussionmentioning

confidence: 99%

Prevalence, cognitive characteristics, and influencing factors of amnestic mild cognitive impairment among older adults residing in an urban community in Chengdu, China

Rao,

Cai,

Zhong

et al. 2024

Front. Neurol.

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ObjectiveDementia is a significant public health concern, and mild cognitive impairment (MCI) serves as a transitional stage between normal aging and dementia. Among the various types of MCI, amnestic MCI (aMCI) has been identified as having a higher likelihood of progressing to Alzheimer’s dimension. However, limited research has been conducted on the prevalence of aMCI in China. Therefore, the objective of this study is to investigate the prevalence of aMCI, examine its cognitive characteristics, and identify associated risk factors.MethodsIn this cross-sectional study, we investigated a sample of 368 older adults aged 60 years and above in the urban communities of Chengdu, China. The participants underwent a battery of neuropsychological assessments, including the Mini-Mental State Examination (MMSE), the Clinical Dementia Rating (CDR), Auditory Verbal Learning Test (AVLT), Wechsler’s Logical Memory Task (LMT), Boston Naming Test (BNT) and Trail Making Test Part A (TMT-A). Social information was collected by standard questionnaire. Multiple logistic regression analysis was utilized to screen for the risk and protective factors of aMCI.ResultsThe data analysis included 309 subjects with normal cognitive function and 59 with aMCI, resulting in a prevalence of 16.0% for aMCI. The average age of participants was 69.06 ± 7.30 years, with 56.0% being females. After controlling for age, gender and education, the Spearman partial correlation coefficient between various cognitive assessments and aMCI ranged from −0.52 for the long-term delayed recall scores in AVLT to 0.19 for the time-usage scores in TMT-A. The results indicated that all cognitive domains, except for naming scores (after semantic cue of BNT) and error quantity (in TMT-A), showed statistically significant associations with aMCI. Furthermore, the multiple logistic regression analysis revealed that older age (OR = 1.044, 95%CI: 1.002~1.087), lower educational level, and diabetes (OR = 2.450, 95%CI: 1.246~4.818) were risk factors of aMCI.ConclusionThis study found a high prevalence of aMCI among older adults in Chengdu, China. Individuals with aMCI exhibited lower cognitive function in memory, language, and executive domains, with long-term delayed recall showing the strongest association. Clinicians should prioritize individuals with verbal learning and memory difficulties, especially long-term delayed recall, in clinical practice.

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“…Analyzing sleep patterns will also help us to understand which kind of sleep disturbance are associated with aMCI and AD. A system review foundthat patients with aMCI may experience more disturbances in sleep e ciency and slow wave sleep [65]. Further longitudinal analyses of cohorts will be required to fully evaluate the associations between sleep and aMCI.…”

Section: Discussionmentioning

confidence: 99%

Prevalence, Cognitive Characteristics and Influence Factors of Amnestic Mild Cognitive Impairment among Community-dwelling Older Adults in Chengdu, China

Qiu

Cai

Wang

et al. 2021

Preprint

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Background: Dementia is a global public health priority. Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia. And amnestic MCI (aMCI) is proved to have a higher probability to develop into AD comparing to other type of MCI. Yet a few studies have focused on prevalence of aMCI in China. This study aims to explore the prevalence of amnestic mild cognitive impairment (aMCI), cognitive characteristics of aMCI, and associated risk factors for aMCI.Methods: A cross-sectional study was conducted in the communities of Chengdu, China. Participants were 368 older adults aged 60 years and over. Participants completed various neuropsychological assessments, including the Mini-Mental State Examination (MMSE), the Clinical Dementia Rating (CDR), Auditory Verbal Learning Test (AVLT), Wechsler’s Logical Memory Task (LMT), Boston Naming Test (BNT) and Trail Making Test Part A (TMT-A). Social information was collected by standard questionnaire. Multiple logistic regression analysis was utilized to screen for the risk and protective factors of aMCI.Results: Data included 309 subjects with normal cognitive function and 59 with aMCI. The prevalence of aMCI was 16.0%.The average age of participants was 69.06±7.30 years, with 56.0% being females. After controlling for age, gender and education, the Spearman partial correlation coefficient between diverse cognitive assessments and aMCI ranged from -0.52 for the long-term delayed recall scores in AVLT to 0.19 for the time-usage scores in TMT-A, and results revealed that all domains except naming scores (after semantic cue of BNT) and error quantity (in TMT-A) showed statistically significant associations with aMCI. And the results of multiple logistic regression analysis indicated that older age (OR=1.044, 95%CI: 1.002~1.087, p=0.042), lower educational level, and diabetes (OR=2.450, 95%CI: 1.246~4.818, p=0.009) were risk factors of aMCI.Conclusions: Participants with aMCI showed lower cognitive function in memory, language and executive domains, especially in long-term delayed recall. The participants who were older, had less education, or with diabetes had higher risk of suffering from aMCI. These results may help clinical practitioners design and conduct targeted cognitive training and chronic disease management for the elderly, aiming to prevent and delay development of Alzheimer’s dementia.

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Characteristics of Sleep Structure Assessed by Objective Measurements in Patients With Amnestic Mild Cognitive Impairment: A Meta-Analysis

Cited by 10 publications

References 56 publications

Ketogenic dietary lifestyle intervention effects on sleep, cognition, and behavior in mild cognitive impairment: Study design

Ketogenic dietary lifestyle intervention effects on sleep, cognition, and behavior in mild cognitive impairment: Study design

Prevalence, cognitive characteristics, and influencing factors of amnestic mild cognitive impairment among older adults residing in an urban community in Chengdu, China

Prevalence, Cognitive Characteristics and Influence Factors of Amnestic Mild Cognitive Impairment among Community-dwelling Older Adults in Chengdu, China

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