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Cavaillès C, Letellier N, Berr C, Samieri C, Empana JP, Tzourio C, Dartigues JF, Benmarhnia T, Dauvilliers Y, Jaussent I. The role of cardiovascular health and vascular events in the relationship between excessive daytime sleepiness and dementia risk. J Sleep Res 2024; 33:e14053. [PMID: 37822116 DOI: 10.1111/jsr.14053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 10/13/2023]
Abstract
Many studies suggest a relationship between excessive daytime sleepiness (EDS) and dementia incidence, but the underlying mechanisms remain uncertain. The study aimed to investigate the role of cardiovascular burden in the relationship between EDS and dementia incidence over a 12-year follow-up in community-dwelling older adults. We performed analyses on 6171 subjects (aged ≥65 years) free of dementia and vascular disease at baseline. Participants self-reported EDS at baseline and an expert committee validated both prevalent and incident dementia. We defined cardiovascular burden by a low Cardiovascular Health score, constructed using the American Heart Association metrics, and incident vascular events. To explore the potential role of the cardiovascular burden in the relationship between EDS and dementia, we conducted mediation analyses with inverse odds ratio-weighted estimation, using multivariable-adjusted proportional hazard Cox and logistic regression models. Subjects with EDS had a higher risk of all-cause dementia (hazard ratio [HR] 1.39, 95% confidence interval [CI] 1.13-1.69) and dementia with vascular component (DVC) (HR 2.14, 95% CI 1.30-3.51), but not Alzheimer's disease (HR 1.18, 95% CI 0.93-1.51). Cardiovascular burden explained 5% (95% CI 4.1-5.2) and 11% (95% CI 9.7-11.3) of the relationship between EDS and all-cause dementia and DVC, respectively. These findings confirm that EDS may be implicated in the development of dementia and indicate a weaker than expected role of cardiovascular burden in the relationship between EDS and DVC.
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Affiliation(s)
- Clémence Cavaillès
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
| | - Noémie Letellier
- Herbert Wertheim School of Public Health and Human Longevity Science & Scripps Institution of Oceanography, UC San Diego, La Jolla, California, USA
| | - Claudine Berr
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
| | - Cecilia Samieri
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, Bordeaux, France
| | - Jean-Philippe Empana
- Paris Descartes University, Faculty of Medicine, Paris, France; INSERM, UMR-S970, Paris Cardiovascular Research Center, Department of Epidemiology, Paris, France
| | - Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, Bordeaux, France
| | - Jean-François Dartigues
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, Bordeaux, France
| | - Tarik Benmarhnia
- Herbert Wertheim School of Public Health and Human Longevity Science & Scripps Institution of Oceanography, UC San Diego, La Jolla, California, USA
| | - Yves Dauvilliers
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
- National Reference Centre for Orphan Diseases, Narcolepsy- Rare hypersomnias, Sleep Unit, Department of Neurology, CHU Montpellier, Montpellier, France
| | - Isabelle Jaussent
- Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France
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Overton M, Skoog J, Laukka EJ, Bodin TH, Mattsson AD, Sjöberg L, Hofer SM, Johansson L, Kulmala J, Kivipelto M, Solomon A, Skoog I, Kåreholt I, Sindi S. Sleep disturbances and change in multiple cognitive domains among older adults: a multicenter study of five Nordic cohorts. Sleep 2024; 47:zsad244. [PMID: 37708350 PMCID: PMC10925948 DOI: 10.1093/sleep/zsad244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 07/31/2023] [Indexed: 09/16/2023] Open
Abstract
STUDY OBJECTIVES We examined and compared cross-sectional and longitudinal associations between self-reported sleep disturbances and various cognitive domains in five separate Nordic European longitudinal aging studies (baseline N = 5631, mean age = 77.7, mean follow-up = 4.16 years). METHODS Comparable sleep parameters across studies included reduced sleep duration/quality, insomnia symptoms (sleep latency, waking up at night, and early awakenings), short and long sleep duration, and daytime napping. The cognitive domains were episodic memory, verbal fluency, perceptual speed, executive functioning, and global cognition (aggregated measure). A series of mixed linear models were run separately in each study and then compared to assess the level and rate of change in cognitive functioning across each sleep disturbance parameter. Models were adjusted for age, sex, education, hypnotic usage, depressive symptoms, lifestyle factors, cardiovascular, and metabolic conditions. By using a coordinated analytic approach, comparable construct-level measurements were generated, and results from identical statistical models were qualitatively compared across studies. RESULTS While the pattern of statistically significant results varied across studies, subjective sleep disturbances were consistently associated with worse cognition and steeper cognitive decline. Insomnia symptoms were associated with poorer episodic memory and participants sleeping less or more than 7-8 hours had a steeper decline in perceptual speed. In addition, daytime napping (>2 hours) was cross-sectionally and longitudinally associated with all examined cognitive domains. Most observed associations were study-specific (except for daytime napping), and a majority of association estimates remained significant after adjusting for covariates. CONCLUSION This rigorous multicenter investigation further supports the importance of sleep disturbance, including insomnia, long and short sleep duration, and daytime napping on baseline cognitive functioning and rate of change among older adults. These sleep factors may be targeted in future lifestyle interventions to reduce cognitive decline.
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Affiliation(s)
- Marieclaire Overton
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Johan Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Erika J Laukka
- Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Timothy Hadarsson Bodin
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Alexander Darin Mattsson
- Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Linnea Sjöberg
- Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Scott M Hofer
- Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Lena Johansson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jenni Kulmala
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Alina Solomon
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Theme Inflammation and Aging. Karolinska University Hospital, Stockholm, Sweden
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Ingemar Kåreholt
- Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Institute of Gerontology, School of Health and Welfare, Aging Research Network – Jönköping (ARN-J), Jönköping University, Jönköping, Sweden
| | - Shireen Sindi
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
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Xiong Y, Tvedt J, Åkerstedt T, Cadar D, Wang HX. Impact of sleep duration and sleep disturbances on the incidence of dementia and Alzheimer's disease: A 10-year follow-up study. Psychiatry Res 2024; 333:115760. [PMID: 38301285 DOI: 10.1016/j.psychres.2024.115760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/03/2024]
Abstract
The nature of the relationship between sleep problems and dementia remains unclear. This study investigated the relationship between sleep measures and dementia in older adults (≥ 65) using data from the English Longitudinal Study of Ageing (ELSA) and further investigated the causal association in Mendelian randomization (MR) analysis. In total of 7,223 individuals, 5.7 % developed dementia (1.7 % Alzheimer's disease (AD)) within an average of 8 (± 2.9) years. Cox regression models and MR were employed. Long sleep duration (>8 h) was associated with 64 % increased risk of incident dementia and 2-fold high risk of AD compared to ideal sleep duration (7-8 h). This association was particularly evident in older-older adults (≥70 years) and those who consumed alcohol. Short sleep duration (<7 h) was associated with lower risk of incident dementia among older-older but higher risk among younger-older adults. Sleep disturbances and perceived sleep quality were not associated with dementia or AD. The MR study did not reveal causal associations between sleep duration and dementia. These findings suggest that self-reported short sleep in younger-older and long sleep in older-older adults and those with frequent alcohol consumption are associated with dementia. Early detection of these sleep patterns may help identify individuals at higher dementia risk.
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Affiliation(s)
- Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonas Tvedt
- Division of Psychobiology and Epidemiology, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Torbjörn Åkerstedt
- Division of Psychobiology and Epidemiology, Department of Psychology, Stockholm University, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Dorina Cadar
- Centre for Dementia Studies, Department of Neuroscience, Brighton and Sussex Medical School, Brighton, United Kingdom; Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Hui-Xin Wang
- Division of Psychobiology and Epidemiology, Department of Psychology, Stockholm University, Stockholm, Sweden.
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Cavaillès C, Andrews SJ, Leng Y, Chatterjee A, Daghlas I, Yaffe K. Causal Associations of Sleep Apnea with Alzheimer's Disease and Cardiovascular Disease: a Bidirectional Mendelian Randomization Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.20.23298793. [PMID: 38045267 PMCID: PMC10690337 DOI: 10.1101/2023.11.20.23298793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer's disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization (MR). Methods Using summary statistics from four recent, large genome-wide association studies of SA (n=523,366), AD (n=64,437), CAD (n=1,165,690), and stroke (n=1,308,460), we conducted bidirectional two-sample MR analyses. Our primary analytic method was fixed-effects inverse variance weighted MR; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. Results We identified a significant causal effect of SA on the risk of CAD (odds ratio (OR IVW ) =1.35 per log-odds increase in SA liability, 95% confidence interval (CI) =1.25-1.47) and stroke (OR IVW =1.13, 95% CI =1.01-1.25). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (BMI) (OR IVW =1.26, 95% CI =1.15-1.39 for CAD risk; OR IVW =1.08, 95% CI =0.96-1.22 for stroke risk). SA was not causally associated with a higher risk of AD (OR IVW =1.14, 95% CI =0.91-1.43). We did not find causal effects of AD, CAD, or stroke on risk of SA. Conclusions These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by BMI. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.
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Wong ATY, Reeves GK, Floud S. Total sleep duration and daytime napping in relation to dementia detection risk: Results from the Million Women Study. Alzheimers Dement 2023; 19:4978-4986. [PMID: 37083147 PMCID: PMC10955772 DOI: 10.1002/alz.13009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 04/22/2023]
Abstract
INTRODUCTION There is inconsistent evidence on the associations of sleep duration and daytime napping with dementia risk. METHODS In the Million Women Study, a total of 830,716 women (mean age, 60 years) were asked about sleep duration (<7, 7-8, >8 hours) and daytime napping (rarely/never, sometimes, usually) in median year 2001, and were followed for the first hospital record with any mention of dementia. Cox regression estimated dementia detection risk ratios (RRs) during 17-year follow-up in 5-year intervals. RESULTS With 34,576 dementia cases, there was strong attenuation over follow-up in the RRs related to long sleep duration (>8 vs 7-8 hours) and usually napping (vs rarely/never). Short sleep duration was modestly, positively associated with dementia in the long term (RR = 1.08, 95% confidence interval [CI] 1.04-1.12). DISCUSSION There was little evidence to suggest that long sleep duration and regular napping are associated with long-term dementia risk. Short sleep duration was modestly associated with dementia risk, but residual confounding cannot be excluded. HIGHLIGHTS Long sleep duration was not associated with long-term dementia risk. Daytime napping was not associated with long-term dementia risk. There is some evidence for a small higher risk of dementia related to short sleep.
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Affiliation(s)
- Angel T. Y. Wong
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Gillian K. Reeves
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Sarah Floud
- Cancer Epidemiology UnitNuffield Department of Population HealthUniversity of OxfordOxfordUK
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Gao Y, Andrews S, Brenowitz W, Raji CA, Yaffe K, Leng Y. Snoring and risk of dementia: a prospective cohort and Mendelian randomization study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.12.23296972. [PMID: 37873444 PMCID: PMC10593011 DOI: 10.1101/2023.10.12.23296972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Background The association between snoring, a very common condition that increases with age, and dementia risk is controversial. Snoring is linked to obstructive sleep apnoea and cardiometabolic conditions, both of which are associated with an increased risk of dementia. However, snoring also increases with body mass index (BMI), which in late life is linked to lower dementia risk, possibly due to metabolic changes during prodromal dementia. Methods The prospective cohort study used data from 450,027 UK Biobank participants with snoring measured at baseline (2006 - 2010), and followed up for dementia diagnosis (censored at 2022). Two-sample Mendelian randomization (MR) analysis used summary statistics for genome-wide association studies of Alzheimer's disease (AD) (n = 94,437; cases = 35,274) and snoring (n = 408,317; snorers = 151,011). Results During a median follow-up of 13.5 years, 7,937 individuals developed dementia. Snoring was associated with an 8% lower risk of all-cause dementia (hazard ratio [HR] 0.92; 95% confidence interval [CI] 0.88 to 0.97) and AD (HR 0.92; 95% CI 0.86 to 0.99). The association was stronger in older individuals, APOE ε4 allele carriers, and during shorter follow-up periods. MR analyses suggested no causal effect of snoring on AD, however, genetic liability to AD was associated with a lower risk of snoring. Multivariable MR indicated that the effect of AD on snoring was primarily driven by BMI. Conclusions The phenotypic association between snoring and lower dementia risk likely stems from reverse causation, with genetic predisposition to AD associated with reduced snoring. This may be driven by weight loss in prodromal AD.
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Affiliation(s)
- Yaqing Gao
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Shea Andrews
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA
| | - Willa Brenowitz
- Kaiser Permanente Center for Health Research, Portland, Oregon, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
| | - Cyrus A Raji
- Mallinckrodt Institute of Radiology, Division of Neuroradiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
- San Francisco Veterans Affairs Health System, California, USA
- Department of Neurology, University of California San Francisco, San Francisco, USA
| | - Yue Leng
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA
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Wu J, Wu Z, Xie C, Lin Y, Fu Z, Zhu L, Qi W, Wang H. A high propensity for excessive daytime sleepiness independent of lifestyle is associated with cognitive performance in community-dwelling older adults. Front Psychiatry 2023; 14:1190353. [PMID: 37636818 PMCID: PMC10448904 DOI: 10.3389/fpsyt.2023.1190353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Objective The relationship between excessive daytime sleepiness (EDS) and cognitive performance of older adults remains unclear, especially when a healthy lifestyle is considered. The study aimed to explore the association between EDS in passive and active situations and general cognitive function among community-dwelling older adults. Methods Two hundred and seventy-one older adults aged 60 and above were recruited from the community cohort in Shangrao. All study participants were free of depression and dementia. The Chinese version of the Epworth Sleepiness Scale (CESS) was used to evaluate EDS. Using the item scores of CESS, the presence of EDS among all study participants were grouped as non-EDS, passive situation-related EDS (PSR-EDS), active situation-related EDS (ASR-EDS), and high sleep propensity (HSP). The Hong Kong Brief Cognitive Test (HKBC) was used to assess cognitive function. Chinese healthy lifestyle metrics were scored based on AHA Life Simple-7. The multivariate logistic regression model was used to estimate the association between the presence of EDS and cognitive function. Results The PSR-EDS (n = 29, 20.8 ± 5.3) and the HSP groups (n = 21, 19.8 ± 4.8) scored lower with HKBC than in the non-EDS group (n = 213, 23.2 ± 4.9). The subdomain performance of language in the HSP group was poorer than in the non-EDS group (ps < 0.05). Relative to non-EDS, HSP (OR = 3.848, 95% CI = 1.398-10.591) was associated with an increased risk of poor cognitive performance after adjusting age, sex, education, and healthy lifestyle metrics. Conclusion High propensity for excessive daytime sleepiness, irrespective of lifestyle, is associated with poorer cognitive performance among community-dwelling older adults. The findings may provide empirical evidence to support sleepiness intervention for reducing the risk of cognitive decline.
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Affiliation(s)
- Junxin Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Zijing Wu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Caixia Xie
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | | | | | - Limao Zhu
- Shangrao Third Hospital, Shangrao, China
| | - Wei Qi
- Shangrao Third Hospital, Shangrao, China
| | - Huali Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
- National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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Selbaek-Tungevåg S, Selbaek G, Strand BH, Myrstad C, Livingston G, Lydersen S, Bergh S, Ernstsen L. Insomnia and risk of dementia in a large population-based study with 11-year follow-up: The HUNT study. J Sleep Res 2023:e13820. [PMID: 36689779 DOI: 10.1111/jsr.13820] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 12/09/2022] [Accepted: 12/18/2022] [Indexed: 01/25/2023]
Abstract
Despite evidence suggesting that insomnia is associated with the risk of dementia and cognitive dysfunction, studies have shown mixed results. Dementia has a long prodromal phase, and studies with long follow-up are required to avoid reverse causality. In our 11-year follow-up study, we assessed whether probable insomnia disorder (PID) based on diagnostic criteria, and insomnia symptoms were associated with risk of all-cause dementia, Alzheimer's disease (AD) and cognition, measured with the Montreal Cognitive Assessment scale. We also examined if Apolipoprotein E genotype modified any associations with dementia through interaction. We analysed data from 7492 participants in the Norwegian Trøndelag Health Study. PID was not associated with all-cause dementia (odds ratio = 1.03, 95% confidence interval = 0.74-1.43), AD (odds ratio = 1.07, 95% confidence interval = 0.71-1.60) or Montreal Cognitive Assessment score (regression coefficient = 0.37, 95% confidence interval = -0.06 to 0.80). The insomnia symptom "difficulties maintaining sleep" was associated with a lower risk of all-cause dementia (odds ratio = 0.81, 95% confidence interval = 0.67-0.98), AD (odds ratio = 0.73, 95% confidence interval = 0.57-0.93), and better Montreal Cognitive Assessment score, mean 0.40 units (95% confidence interval = 0.15-0.64). No interaction with Apolipoprotein E genotype was found. PID and insomnia symptoms did not increase the risk of dementia in our study. More research with longer follow-up is needed, and future studies should explore if the associations to dementia risk vary across insomnia subtypes.
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Affiliation(s)
- Selma Selbaek-Tungevåg
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.,Surgical Department, Innlandet Hospital Trust, Lillehammer, Norway
| | - Geir Selbaek
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Bjørn Heine Strand
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.,Department for Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Christian Myrstad
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK.,Camden and Islington NHS Foundation Trust, London, UK
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sverre Bergh
- Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway.,Research Centre for Age-Related Functional Decline, Innlandet Hospital Trust, Brumunddal, Norway
| | - Linda Ernstsen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
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Mahmood A, Kedia S, Dobalian A, Chang CF, Ahn S. Longitudinal associations between time-varying insomnia symptoms and all-cause health care services utilization among middle-aged and older adults in the United States. Health Serv Res 2022; 57:1247-1260. [PMID: 35344596 PMCID: PMC9643080 DOI: 10.1111/1475-6773.13971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVE To examine longitudinal associations between time-varying insomnia symptoms (difficulty initiating sleep, difficulty maintaining sleep, early-morning awakenings, and nonrestorative sleep) and all-cause health care services utilization (HSU), including overnight hospital stays, nursing home stays, and home health care services among middle-aged and older adults. DATA SOURCES The Health and Retirement Study (HRS), a nationwide, population-representative survey of primarily middle-aged and older adults in the United States. STUDY DESIGN This study is an analysis of prospective data from the HRS for a cohort of 13,168 adults (aged ≥50 years; females = 57.7%). Study participants were followed for 16 years. This study focuses on the associations between time-varying insomnia symptoms, both cumulatively and independently, and repeated HSUs. A marginal structural modeling approach was used to capture time-varying biological, psycho-cognitive, and behavioral health factors, and to adjust for selection bias such as differential loss to follow-up. Generalized estimating equations were employed to compute average marginal effects and their 95% confidence intervals. DATA COLLECTION/EXTRACTION METHODS We extracted longitudinal data from 2002 through 2018 waves of the HRS. PRINCIPAL FINDINGS Experiencing higher numbers of insomnia symptoms on a cumulative scale was associated with higher probabilities of HSU. For instance, the likelihood of overnight hospital stays for individuals reporting one symptom increased from 4.7 percentage points on average (95% CI: 3.7-5.6, p < 0.001), to 13.9 percentage points (95% CI: 10.3-17.5, p < 0.001) for those reporting four symptoms, relative to individuals experiencing no insomnia symptoms. Further, experiencing each of difficulty initiating and maintaining sleep, and nonrestorative sleep, as standalone symptoms, was associated with a higher likelihood of HSU when compared to those not experiencing the symptoms. CONCLUSIONS The results demonstrate the potential consequences and adverse impacts of insomnia symptoms on HSU among middle-aged and older adults. Future investigations should focus on the underlying causes and health systems pathways linking insomnia symptoms to HSU.
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Affiliation(s)
- Asos Mahmood
- Division of Health Systems Management and Policy, School of Public HealthUniversity of MemphisMemphisTennesseeUSA
| | - Satish Kedia
- Division of Social and Behavioral Sciences, School of Public HealthUniversity of MemphisMemphisTennesseeUSA
| | - Aram Dobalian
- Division of Health Systems Management and Policy, School of Public HealthUniversity of MemphisMemphisTennesseeUSA
| | - Cyril F. Chang
- Fogelman College of Business and EconomicsUniversity of MemphisMemphisTennesseeUSA
| | - SangNam Ahn
- Division of Health Systems Management and Policy, School of Public HealthUniversity of MemphisMemphisTennesseeUSA
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Cavaillès C, Berr C, Helmer C, Gabelle A, Jaussent I, Dauvilliers Y. Complaints of daytime sleepiness, insomnia, hypnotic use, and risk of dementia: a prospective cohort study in the elderly. Alzheimers Res Ther 2022; 14:12. [PMID: 35057850 PMCID: PMC8780361 DOI: 10.1186/s13195-021-00952-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/20/2021] [Indexed: 01/13/2023]
Abstract
Abstract
Background
Sleep disturbances are common in elderly and occur frequently in dementia. The impact of excessive daytime sleepiness (EDS), insomnia complaints, sleep quality, and hypnotics on the risk of all-cause dementia, Alzheimer disease (AD), and dementia with vascular component (DVC) remains unclear, as does the association between sleep profile and plasma β-amyloid levels.
Methods
Analyses were carried out on 6851 participants aged 65 years and over randomly recruited from three French cities and free of dementia at baseline. A structured interview and self-questionnaire assessed sleep complaints (EDS, insomnia complaints, sleep quality) and medications at baseline. Incident cases of dementia were diagnosed systematically over a 12-year period. Multivariate Cox models were used to estimate the risk of dementia associated with the sleep complaints considered individually and globally. Plasma β-amyloid levels were measured by an xMAP-based assay technology in 984 subjects.
Results
After adjustment for socio-demographic characteristics, lifestyle, APOE-ε4, cardiovascular factors, and depressive status, EDS had a higher risk of all-cause dementia (HR = 1.21; 95%CI = [1.01–1.46]) and DVC (HR = 1.58; 95%CI = [1.07–2.32]) but not AD. Persistent use of hypnotics increased the risk for all-cause dementia, specifically AD (HR = 1.28; 95%CI = [1.04–1.58]), but not DVC. No association was found for insomnia complaints and sleep quality taken as individual factors or combined with EDS on the risk of dementia. No association was found between β-amyloid, sleep complaints, and incident dementia.
Conclusions
The results suggest a deleterious role of EDS and hypnotics on dementia. Further studies are required to elucidate the mechanisms involved in these associations and whether its management can prevent the risk of dementia.
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Carvalho DZ, St. Louis EK, Przybelski SA, Morgenthaler TI, Machulda MM, Boeve BF, Petersen RC, Jack CR, Graff-Radford J, Vemuri P, Mielke MM. Sleepiness in Cognitively Unimpaired Older Adults Is Associated With CSF Biomarkers of Inflammation and Axonal Integrity. Front Aging Neurosci 2022; 14:930315. [PMID: 35898322 PMCID: PMC9309557 DOI: 10.3389/fnagi.2022.930315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/13/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction Sleepiness has been associated with cognitive decline and dementia in the elderly. Older adults with excessive daytime sleepiness appear to be more vulnerable to longitudinal amyloid PET accumulation before the onset of the dementia. However, it remains unclear whether sleepiness is similarly associated with other biomarkers of Alzheimer’s disease (AD), axonal integrity, and inflammation, which may also contribute to neurodegeneration and cognitive decline. Methods In this cross-sectional analysis, we identified 260 cognitively unimpaired adults (>60 years) from the Mayo Clinic Study of Aging, a population-based cohort from Olmsted County (MN), who underwent CSF quantification of AD biomarkers (Aβ42, p-tau, p-tau/Aβ42) in addition to at least one of the following biomarkers [neurofilament light chain (NfL) interleukin-6 (IL-6), IL-10, and tumor necrosis factor-α (TNF-α)]. We fit linear regression models to assess associations between sleepiness, as measured by the Epworth Sleepiness Scale (ESS), and CSF biomarkers, controlling for age, sex, APOε4 status, body mass index, hypertension, dyslipidemia, and prior diagnosis of obstructive sleep apnea. Results Higher ESS scores were associated with higher CSF IL-6 and NfL, but not with the other CSF biomarkers. For every ESS score point increase, there was a 0.009 ([95% CI 0.001–0.016], p = 0.033) increase in the log of IL-6 and 0.01 ([95% CI 0.002–0.018], p = 0.016) increase in the log of NfL. A sensitivity analysis showed an association between ESS scores and log of p-tau/Aβ42 only in participants with an abnormal ratio (>0.023), highly predictive of amyloid positivity. For every ESS score point increase, there was a 0.006 ([95% CI 0.001–0.012], p = 0.021) increase in the log of CSF p-tau/Aβ42. Conclusion Sleepiness was associated with greater CSF IL-6 and NfL levels, which could contribute to neurodegeneration or alternatively cause sleepiness. Higher NfL levels may result from sleep disruption and/or contribute to sleepiness via disturbed connectivity or damage to wake-promoting centers. Associations between sleepiness and p-tau/Aβ42 in participants with abnormal ratio suggest that amyloid positivity contributes to vulnerability to sleep disturbance, which may further amyloid accumulation in a feed-forward loop process. Prospective studies of these markers are needed to determine cause-effect relationships between these associations.
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Affiliation(s)
- Diego Z. Carvalho
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Sleep Medicine, Division of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Diego Z. Carvalho,
| | - Erik K. St. Louis
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Sleep Medicine, Division of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester, MN, United States
| | - Scott A. Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Timothy I. Morgenthaler
- Center for Sleep Medicine, Division of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester, MN, United States
| | - Mary M. Machulda
- Department of Psychology, Mayo Clinic, Rochester, MN, United States
| | - Bradley F. Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Sleep Medicine, Division of Pulmonary and Critical Care, Department of Medicine, Mayo Clinic, Rochester, MN, United States
| | - Ronald C. Petersen
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Clifford R. Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | | | - Michelle M. Mielke
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States
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Lechat B, Hirotsu C, Appleton S, Younes M, Adams RJ, Vakulin A, Hansen K, Zajamsek B, Wittert G, Catcheside P, Heinzer R, Eckert DJ. A novel EEG marker predicts perceived sleepiness and poor sleep quality. Sleep 2022; 45:zsac051. [PMID: 35554584 DOI: 10.1093/sleep/zsac051] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 02/16/2022] [Indexed: 09/21/2023] Open
Abstract
STUDY OBJECTIVES To determine if a novel EEG-derived continuous index of sleep depth/alertness, the odds ratio product (ORP), predicts self-reported daytime sleepiness and poor sleep quality in two large population-based cohorts. METHODS ORP values which range from 0 (deep sleep) to 2.5 (fully alert) were calculated in 3s intervals during awake periods (ORPwake) and NREM sleep (ORPNREM) determined from home sleep studies in the HypnoLaus (N = 2162: 1106 females, 1056 males) and men androgen inflammation lifestyle environment and stress (MAILES) cohorts (N = 754 males). Logistic regression was used to examine associations between ORPwake, ORPNREM, and traditional polysomnography measures (as comparators) with excessive sleepiness (Epworth sleepiness scale >10) and poor sleep quality (Pittsburgh sleep quality index >5) and insomnia symptoms. RESULTS High ORPwake was associated with a ~30% increase in poor sleep quality in both HypnoLaus (odds ratio, OR, and 95% CI) 1.28 (1.09, 1.51), and MAILES 1.36 (1.10, 1.68). High ORPwake was also associated with a ~28% decrease in excessive daytime sleepiness in the MAILES dataset. ORPNREM was associated with a ~30% increase in poor sleep quality in HypnoLaus but not in MAILES. No consistent associations across cohorts were detected using traditional polysomnography markers. CONCLUSIONS ORP, a novel EEG-derived metric, measured during wake periods predicts poor sleep quality in two independent cohorts. Consistent with insomnia symptomatology of poor perceived sleep in the absence of excessive daytime sleepiness, ORPwake may provide valuable objective mechanistic insight into physiological hyperarousal.
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Affiliation(s)
- Bastien Lechat
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Camila Hirotsu
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sarah Appleton
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Magdy Younes
- Department of Medicine, University of Manitoba, Winnipeg, MN, Canada
| | - Robert J Adams
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Branko Zajamsek
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Gary Wittert
- Freemasons Centre for Male Health and Wellness, Adelaide University, Adelaide, SA, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Danny J Eckert
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
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Sleep-Disordered Breathing Risk with Comorbid Insomnia Is Associated with Mild Cognitive Impairment. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12052414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction: Few studies have evaluated the combined association between SDB with comorbid insomnia and mild cognitive impairment (MCI). To test the hypothesis that SDB with comorbid insomnia is associated with greater odds of MCI than either sleep disorder independently, we used ADNI data to evaluate cross-sectional associations between SDB risk with comorbid insomnia status and MCI. Methods: Participants with normal cognition or MCI were included. Insomnia was defined by self-report. SDB risk was assessed by modified STOP-BANG. Logistic regression models evaluated associations between four sleep disorder subgroups (low risk for SDB alone, low risk for SDB with insomnia, high risk for SDB alone, and high risk for SDB with insomnia) and MCI. Models adjusted for age, sex, BMI, APOE4 genotype, race, ethnicity, education, marital status, hypertension, cardiovascular disease, stroke, alcohol abuse, and smoking. Results: The sample (n = 1391) had a mean age of 73.5 ± 7.0 years, 44.9% were female, 72.0% were at low risk for SDB alone, 13.8% at low risk for SDB with insomnia, 10.1% at high risk for SDB alone, and 4.1% at high risk for SDB with insomnia. Only high risk for SDB with comorbid insomnia was associated with higher odds of MCI (OR 3.22, 95% CI 1.57–6.60). Conclusion: Studies are needed to evaluate SDB with comorbid insomnia as a modifiable risk factor for MCI.
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A New Perspective on the Treatment of Alzheimer's Disease and Sleep Deprivation-Related Consequences: Can Curcumin Help? OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:6168199. [PMID: 35069976 PMCID: PMC8769857 DOI: 10.1155/2022/6168199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/03/2021] [Accepted: 12/08/2021] [Indexed: 01/09/2023]
Abstract
Sleep disturbances, as well as sleep-wake rhythm disorders, are characteristic symptoms of Alzheimer's disease (AD) that may head the other clinical signs of this neurodegenerative disease. Age-related structural and physiological changes in the brain lead to changes in sleep patterns. Conditions such as AD affect the cerebral cortex, basal forebrain, locus coeruleus, and the hypothalamus, thus changing the sleep-wake cycle. Sleep disorders likewise adversely affect the course of the disease. Since the sleep quality is important for the proper functioning of the memory, impaired sleep is associated with problems in the related areas of the brain that play a key role in learning and memory functions. In addition to synthetic drugs, utilization of medicinal plants has become popular in the treatment of neurological diseases. Curcuminoids, which are in a diarylheptanoid structure, are the main components of turmeric. Amongst them, curcumin has multiple applications in treatment regimens of various diseases such as cardiovascular diseases, obesity, cancer, inflammatory diseases, and aging. Besides, curcumin has been reported to be effective in different types of neurodegenerative diseases. Scientific studies exclusively showed that curcumin leads significant improvements in the pathological process of AD. Yet, its low solubility hence low bioavailability is the main therapeutic limitation of curcumin. Although previous studies have focused different types of advanced nanoformulations of curcumin, new approaches are needed to solve the solubility problem. This review summarizes the available scientific data, as reported by the most recent studies describing the utilization of curcumin in the treatment of AD and sleep deprivation-related consequences.
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15
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Kim YJ, Kim HR, Jung YH, Park YH, Seo SW. Effects of Electrical Automatic Massage on Cognition and Sleep Quality in Alzheimer's Disease Spectrum Patients: A Randomized Controlled Trial. Yonsei Med J 2021; 62:717-725. [PMID: 34296549 PMCID: PMC8298867 DOI: 10.3349/ymj.2021.62.8.717] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE Muscle relaxation following electrical automatic massage (EAM) has been found to reduce fatigue, depression, stress, anxiety, and pain in individuals with various conditions. However, the effects of EAM have not been extensively explored in patients with Alzheimer's disease (AD). MATERIALS AND METHODS Here, we conducted a randomized controlled study to evaluate the effects of EAM on the cognitive and non-cognitive functions of patients with AD spectrum disorders. RESULTS We found that EAM attenuated changes in attention-associated cognitive scores and subjective sleep quality relative to those in controls. CONCLUSION While further studies in a clinical setting are needed to support our findings, these encouraging results suggest that EAM may be an alternative therapy for the management of associated symptoms in AD (ClinicalTrials.gov ID: NCT03507192, 24/04/2018).
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Affiliation(s)
- Young Ju Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hang Rai Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Young Hee Jung
- Department of Neurology, Myongji Hospital, Goyang, Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea.
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16
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Robbins R, Weaver MD, Barger LK, Wang W, Quan SF, Czeisler CA. Sleep difficulties, incident dementia and all-cause mortality among older adults across 8 years: Findings from the National Health and Aging Trends Study. J Sleep Res 2021; 30:e13395. [PMID: 34080234 DOI: 10.1111/jsr.13395] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 05/01/2021] [Accepted: 05/03/2021] [Indexed: 01/21/2023]
Abstract
Sleep difficulties have been implicated in the development and progression of dementia and in all-cause mortality. This study examines the relationship between sleep difficulties, incident dementia and all-cause mortality over 8 years of follow-up among a nationally representative sample of older (≥65 years) adults in the United States. We used data collected from the National Health and Aging Trends Study (NHATS) from 2011 to 2018, a prospective cohort study of Medicare beneficiaries. At baseline, the NHATS sample comprised 6,376 older adults who were representative of 32 million older adults. Respondents reported routine difficulty initiating sleep or difficulty falling back asleep "most nights" or "every night" in each study year. In each year, dementia was determined by either self-reported diagnosis or performance on immediate and delayed recall word and clock drawing tests, whereas all-cause mortality was determined by proxy. We conducted Cox proportional hazards modelling, adjusting for age, sex, marital status and chronic conditions. In models predicting all-cause mortality, we also controlled for dementia. Among respondents at baseline, 19% were 65-75 years of age, 71% identified as non-Hispanic white and 59% were female. Difficulty initiating sleep (hazard ratio [HR], 1.49; 95% confidence interval [CI],1.25-1.77), difficulty falling back asleep (HR, = 1.39; 95% CI,1.14-1.70) and concurrent sleep difficulties (HR, 1.58; 95% CI, 1.25-1.99) were associated with greater risk of dementia. Difficulty initiating sleep (HR, 1.44; 95% CI,1.20-1.72), difficulty falling back asleep (HR, 1.56; 95% CI,1.29-1.89), and concurrent sleep difficulties (HR, 1.80; 95% CI, 1.44-2.24) were associated with greater risk of all-cause mortality. Our findings demonstrate that reported difficulties are prospectively associated with an increased risk of dementia and all-cause mortality among older people.
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Affiliation(s)
- Rebecca Robbins
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Matthew D Weaver
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura K Barger
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Wei Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Stuart F Quan
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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17
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Baek MS, Han K, Kwon HS, Lee YH, Cho H, Lyoo CH. Risks and Prognoses of Alzheimer's Disease and Vascular Dementia in Patients With Insomnia: A Nationwide Population-Based Study. Front Neurol 2021; 12:611446. [PMID: 34025548 PMCID: PMC8137901 DOI: 10.3389/fneur.2021.611446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 04/13/2021] [Indexed: 11/13/2022] Open
Abstract
This study aimed to investigate the risk and prognosis of Alzheimer's disease (AD) and vascular dementia (VaD) in patients with insomnia using the National Health Insurance Service database covering the entire population of the Republic of Korea from 2007 to 2014. In total, 2,796,871 patients aged 40 years or older with insomnia were enrolled, and 5,593,742 controls were matched using a Greedy digit match algorithm. Mortality and the rate of admission to a long-term care facility were estimated using multivariable Cox analysis. Of all patients with insomnia, 138,270 (4.94%) and 26,706 (0.96%) were newly diagnosed with AD and VaD, respectively. The incidence rate ratios for AD and VaD were 1.73 and 2.10, respectively, in patients with insomnia compared with those without. Higher mortality rates and long-term care facility admission rates were also observed in patients with dementia in the insomnia group. Known cardiovascular risk factors showed interactions with the effects of insomnia on the risk of AD and VaD. However, the effects of insomnia on the incidence of AD and VaD were consistent between the groups with and without cardiovascular risk factors. Insomnia is a medically modifiable and policy-accessible risk factor and prognostic marker of AD and VaD.
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Affiliation(s)
- Min Seok Baek
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.,Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Seoul, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Hyuk-Sung Kwon
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Yong-Ho Lee
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
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Daytime sleepiness might increase the risk of ALS: a 2-sample Mendelian randomization study. J Neurol 2021; 268:4332-4339. [PMID: 33914140 DOI: 10.1007/s00415-021-10564-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/11/2021] [Accepted: 04/13/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Observational studies have indicated that there is a high prevalence of habitual sleep disturbances in amyotrophic lateral sclerosis (ALS). However, the actual relationship between these symptoms and ALS remains unclear. METHODS We used 2-sample Mendelian randomization to determine whether the sleep disturbances associated with ALS are also related to the risk of ALS. The summary statistics we used were from recent, large genome-wide association studies on daytime sleepiness and other night sleep traits (n = 85,670-452,071) and ALS (n = 20,806 cases, n = 59,804 controls). The inverse variance-weighted (IVW) method was used as the main method for assessing causality. RESULTS Daytime sleepiness might increase the risk of ALS (IVW odds ratio = 2.45, 95% confidence interval: 1.15-5.21; P = 0.020). ALS was not associated with sleep efficiency, number of sleep episodes or sleep duration. CONCLUSIONS Our results provide novel evidence that daytime sleepiness increases the risk of ALS and points out the importance of daytime sleepiness that often goes unnoticed in ALS.
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Jin D, Choi JW. Sleep disorders and risk of dementia in patients with new-onset type 2 diabetes: A nationwide population-based cohort study. J Diabetes 2021; 13:101-110. [PMID: 32681712 DOI: 10.1111/1753-0407.13092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/21/2020] [Accepted: 07/10/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND This study examined the relationship between sleep disorders and the risk of dementia in patients with newly diagnosed type 2 diabetes. METHODS This study used the Korean Health Screening Cohort data and included 39 135 subjects aged ≥40 years with new-onset type 2 diabetes between 2004 and 2007, with follow-up throughout 2013. Sleep disorders were measured by F51(sleep disorders not due to a substance or known physiological condition) or G47(sleep disorders) under International Classification of Diseases, Tenth Revision (ICD-10) codes as a primary diagnosis, and the adjusted hazard ratio (AHR) and 95% CI of all-cause dementia, Alzheimer disease, vascular dementia, and other dementia were estimated using multivariable Cox proportional hazards regression models. RESULTS In the patients with type 2 diabetes with an age range between 42 and 84 years (M = 57.8, SD = 9.5), this study identified 2059 events of dementia during an average follow-up time of 5.7 years. In patients with type 2 diabetes, subjects with sleep disorders were associated with an increased risk of all-cause dementia (AHR, 1.46; 95% CI, 1.19-1.80), Alzheimer disease (AHR, 1.39; 95% CI, 1.02-1.88), and other dementia (AHR, 1.69; 95% CI, 1.23-2.31) compared to those without sleep disorders. Men (AHR, 1.93; 95% CI, 1.42-2.62) and older adults (AHR, 1.70; 95% CI, 1.35-2.15) with sleep disorders were associated with an increased risk of dementia than their counterparts without sleep disorders among patients with type 2 diabetes. CONCLUSIONS These findings suggest that sleep disorders are significantly associated with an increased risk of dementia in patients with new-onset type 2 diabetes.
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Affiliation(s)
- Dallae Jin
- Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, South Korea
| | - Jae Woo Choi
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, South Korea
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20
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Ji X, Fu Y. The role of sleep disturbances in cognitive function and depressive symptoms among community-dwelling elderly with sleep complaints. Int J Geriatr Psychiatry 2021; 36:96-105. [PMID: 33411399 DOI: 10.1002/gps.5401] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 05/28/2020] [Accepted: 08/08/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The relationships between sleep problems, cognitive impairments, and depression have been established in the aging population. However, less is known about the role of late-life onset insomnia and sex involved in these dyad or tripartite relationships. This study aimed to consider onset age of insomnia and sex in the relationship between sleep parameters, cognition and depression among older adults with current insomnia complaints. METHOD A multistep sampling method was adopted to recruit participants with current insomnia complaints in China in 2018. Sleep measures include onset age of insomnia (64 years old or before vs during/after 65), three factors from insomnia severity index (ISI; nighttime, daytime, and perception), excessive daytime sleepiness, and sleep duration. Outcome measures were mini-mental state examination (MMSE) and center for epidemiologic studies depression scale (CESD). RESULTS The average age of older adults was 75 (SD = 7.1). Among them, 62% participants are female. In general, older aged, female, late-life onset insomnia as well as interaction of sex * onset age of insomnia were significantly associated with poorer cognition. Yet, age, sex, and onset age of insomnia were not significant indicators for depression. For female participants, later onset of insomnia, nighttime symptoms of insomnia, excessive daytime sleepiness and depression were risk factors for cognitive decline. Nevertheless, only daytime sleepiness, together with depression, were found positively associated with male participants' cognitive decline. CONCLUSIONS There were robust associations between daytime sleepiness, depressive symptoms, and poor cognitive performance. More importantly, late-life onset insomnia was particularly indicative for poor cognitive performance among female older adults. Future study should emphasize the specific mechanism involved in changes of sleep patterns in the development of cognitive impairment among older adults. Sex differences in the relationship between onset age of insomnia and cognition also require further attention.
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Affiliation(s)
- Xiaowen Ji
- School of Nursing and Health Professions, University of San Francisco, San Francisco, CA
| | - Yuanyuan Fu
- School of Social Development and Public Policy, Beijing Normal University, Beijing, China
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21
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Montero‐Odasso M, Pieruccini‐Faria F, Ismail Z, Li K, Lim A, Phillips N, Kamkar N, Sarquis‐Adamson Y, Speechley M, Theou O, Verghese J, Wallace L, Camicioli R. CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2020; 6:e12068. [PMID: 33094146 PMCID: PMC7568425 DOI: 10.1002/trc2.12068] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022]
Abstract
Introduction Cognitive impairment is the hallmark of Alzheimer's disease (AD) and related dementias. However, motor decline has been recently described as a prodromal state that can help to detect at‐risk individuals. Similarly, sensory changes, sleep and behavior disturbances, and frailty have been associated with higher risk of developing dementia. These clinical findings, together with the recognition that AD pathology precedes the diagnosis by many years, raises the possibility that non‐cognitive changes may be early and non‐invasive markers for AD or, even more provocatively, that treating non‐cognitive aspects may help to prevent or treat AD and related dementias. Methods A subcommittee of the Canadian Consensus Conference on Diagnosis and Treatment of Dementia reviewed areas of emerging evidence for non‐cognitive markers of dementia. We examined the literature for five non‐cognitive domains associated with future dementia: motor, sensory (hearing, vision, olfaction), neuro‐behavioral, frailty, and sleep. The Grading of Recommendations Assessment, Development, and Evaluation system was used to assign the strength of the evidence and quality of the recommendations. We provide recommendations to primary care clinics and to specialized memory clinics, answering the following main questions: (1) What are the non‐cognitive and functional changes associated with risk of developing dementia? and (2) What is the evidence that sensory, motor, behavioral, sleep, and frailty markers can serve as potential predictors of dementia? Results Evidence supported that gait speed, dual‐task gait speed, grip strength, frailty, neuropsychiatric symptoms, sleep measures, and hearing loss are predictors of dementia. There was insufficient evidence for recommending assessing olfactory and vision impairments as a predictor of dementia. Conclusions Non‐cognitive markers can assist in identifying people at risk for cognitive decline or dementia. These non‐cognitive markers may represent prodromal symptoms and several of them are potentially amenable to treatment that might delay the onset of cognitive decline.
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Affiliation(s)
- Manuel Montero‐Odasso
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Frederico Pieruccini‐Faria
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
| | - Zahinoor Ismail
- Departments of PsychiatryClinical Neurosciencesand Community Health SciencesHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
| | - Karen Li
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Andrew Lim
- Division of NeurologyDepartment of MedicineSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Natalie Phillips
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Nellie Kamkar
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Yanina Sarquis‐Adamson
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Mark Speechley
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Olga Theou
- School of PhysiotherapyDalhousie UniversityHalifaxNova ScotiaCanada
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Joe Verghese
- Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Lindsay Wallace
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Richard Camicioli
- Division of NeurologyDepartment of MedicineUniversity of AlbertaEdmontonAlbertaCanada
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Hoile R, Tabet N, Smith H, Bremner S, Cassell J, Ford E. Are symptoms of insomnia in primary care associated with subsequent onset of dementia? A matched retrospective case-control study. Aging Ment Health 2020; 24:1466-1471. [PMID: 31791142 DOI: 10.1080/13607863.2019.1695737] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Objective: There is evidence from neuroimaging studies of an association between insomnia and early dementia biomarkers, but observational studies have so far failed to show a clear association between insomnia and the later development of dementia. We investigated the association between dementia diagnosis and recording of insomnia symptoms 5-10 years earlier in primary care.Method: A case-control study using data from the Clinical Practice Research Datalink. 15,209 cases with dementia (either Alzheimer's, vascular, mixed or non-specific subtypes) at least 65 years old at time of diagnosis, were matched with the same number of controls on year of birth and gender. We ascertained the presence of insomnia symptoms during a five-year period starting 10 years before the index date. Odds ratios for developing dementia were estimated using logistic regression after controlling for hypnotic exposure and physical and mental health comorbidities.Results: The adjusted odds ratio for dementia in those with previous insomnia was 1.34 (95% CI = 1.20-1.50).Conclusion: There is an association between dementia and previous insomnia. It may be possible to incorporate insomnia into predictive tools for dementia.
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Affiliation(s)
- Richard Hoile
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK.,Memory Assessment Service, Grove House, Crowborough, UK
| | - Naji Tabet
- Centre for Dementia Studies, Trafford Centre, University of Sussex, Falmer, UK
| | - Helen Smith
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore
| | - Stephen Bremner
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
| | - Jackie Cassell
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
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23
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Tsapanou A, Scarmeas N, Stern Y. Sleep and the aging brain. A multifaceted approach. SLEEP SCIENCE (SAO PAULO, BRAZIL) 2020; 13:152-156. [PMID: 32742587 PMCID: PMC7384533 DOI: 10.5935/1984-0063.20190128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
In the current review we provide a theoretical background on studies examining the association between sleep and brain function. We focus on the association between sleep and cognitive performance, cognitive changes over time and incident dementia as well. We then present some data on the link between sleep and subjective cognitive complaints, in participants without any objective clinical cognitive decline. We conclude with investigating the association between sleep and brain biomarkers, by highlighting the importance of specific genes and specific brain regions' morphometry. The role of sleep is vital in maintaining a healthy aging brain, and multiple factors should be taken under account when investigating this association.
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Affiliation(s)
- Angeliki Tsapanou
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center - New York - New York
| | - Nikolaos Scarmeas
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center - New York - New York
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center - New York - New York
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24
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Insomnia and obstructive sleep apnea as potential triggers of dementia: is personalized prediction and prevention of the pathological cascade applicable? EPMA J 2020; 11:355-365. [PMID: 32849926 DOI: 10.1007/s13167-020-00219-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 07/15/2020] [Indexed: 12/29/2022]
Abstract
Introduction Sleep disorders ultimately result in sleep deficiency and poor-quality adversely impacts the immune system, glucose metabolism, body weight control, cardiovascular and cerebrovascular function, cognitive function, psychological stability, work productivity, quality of life, and social safety. Sleep disorders are very common among the elderly and are often comorbid with other diseases such as dementia, and further accelerating the underlying neurodegenerative processes. Initial studies have not clearly revealed the relationship between sleep disorders and dementia. Nonetheless, recent findings have suggested that insomnia and obstructive sleep apnea (OSA) are closely associated with dementia and perhaps they could be good predictors of occurrence of dementia and optimal treatments for sleep deficiencies may prevent or delay the onset dementia. Methods Here, we conducted a systematic review based on the criteria of predictive, preventive, and personalized medicine on the association of dementia in elderlies with sleep disorder, namely insomnia and OSA. We included 7432 studies and analyzed a total of 14 publications after applying appropriate exclusion criteria. Results We found that OSA patients had a large tendency to develop and/or experience accelerations of both Alzheimer's disease (AD) and also vascular dementia, whereas insomnia patients only develop and/or experience accelerations of AD. This may be reflected in the fact that AD and vascular dementia have similar and at the same time also different mechanisms of action. Several studies have also revealed that treating sleep disorders in elderly patients prevented or delayed the onset of dementia, mitigating the progression of symptoms in patients who already manifested dementic symptoms and even reversing neurodegeneration in particular brain areas. Discussion Currently, the general medical consensus has poorly addressed the role of sleep disorders in exacerbating the risk of dementia. Critically, studies such as the present one emphasizes that the treatment of sleep disorders could be one the preventive measures to evade or to improve dementia symptoms. Additionally, elderly individuals often manifest different sleep deficiency symptoms than younger ones. Given this, an improved age-specific categorization and evaluation methods for sleep deficiency need to be implemented in diagnosing dementia in order to enable personalized assessments and treatments. Collectively, these findings may also assist to improve efforts in predictively detecting and eventually treating dementia.
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25
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Jørgensen JT, Hansen J, Westendorp RGJ, Nabe-Nielsen K, Stayner LT, Simonsen MK, Andersen ZJ. Shift work and incidence of dementia: A Danish Nurse Cohort study. Alzheimers Dement 2020; 16:1268-1279. [PMID: 32652788 DOI: 10.1002/alz.12126] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 04/22/2020] [Accepted: 05/06/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION A few studies suggest that working night and rotating shifts increase the risk of dementia. We examined the association between shift work and the incidence of dementia in a cohort of female Danish nurses. METHODS We linked Danish Nurse Cohort participants, who reported work schedules (day, evening, night, rotating shifts) in 1993 and/or 1999 and their duration in 2009, to Danish registers to obtain information on dementia hospitalizations and prescription medication until November 2018. RESULTS Among 6048 nurses who reported work schedules in 1993 and 1999, nurses working night shifts ≥6 years had higher dementia incidence (hazard ratio: 2.43, 95% confidence interval: 1.39 to 4.23) than those working day shifts ≥6 years. Among 8059 nurses who reported shift work duration, nurses working night shifts ≥6 years had higher dementia incidence than those working night shifts <1 year (1.47, 1.06 to 2.06). DISCUSSION Persistent night shift work may increase the risk of dementia.
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Affiliation(s)
| | - Johnni Hansen
- Danish Cancer Research Centre, Danish Cancer Society, Copenhagen, Denmark
| | - Rudi G J Westendorp
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Nabe-Nielsen
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Leslie Thomas Stayner
- Division of Epidemiology & Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, Illinois, USA
| | | | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Nykøbing F. Hospital, Hospitalsvej, Centre for Epidemiological Research, Nykøbing Falster, Denmark
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26
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Cross NE, Carrier J, Postuma RB, Gosselin N, Kakinami L, Thompson C, Chouchou F, Dang-Vu TT. Association between insomnia disorder and cognitive function in middle-aged and older adults: a cross-sectional analysis of the Canadian Longitudinal Study on Aging. Sleep 2020; 42:5488740. [PMID: 31089710 DOI: 10.1093/sleep/zsz114] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/27/2019] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES This study examined the differences in cognitive function between middle-aged and older adults with insomnia disorder, insomnia symptoms only (ISO) or no insomnia symptoms (NIS), in the context of other health and lifestyle factors. METHODS Twenty-eight thousand four hundred eighty-five participants >45 years completed questionnaires, physical examinations, and neuropsychological testing across domains of processing speed, memory, and executive functions. An eight-question instrument assessed participants' sleep, defining subjects with insomnia symptoms, probable insomnia disorder (PID), or NIS. The associations between these three groups and cognitive performance were examined with linear regression models adjusted for lifestyle and clinical factors. RESULTS PID was identified in 1,068 participants (3.7% of the sample) while 7,813 (27.5%) experienced ISO. Participants with PID exhibited greater proportions of adverse medical and lifestyle features such as anxiety, depression, and diabetes than both other groups. Analyses adjusting for age, sex, education, as well as medical and lifestyle factors demonstrated that adults with PID exhibited declarative memory deficits (Rey Auditory Verbal Learning Test) compared with ISO or NIS. Adults with insomnia symptoms exhibited better performance on a task of mental flexibility than both other groups. CONCLUSIONS These findings suggest that insomnia disorder in middle-aged and older adults is associated with poorer health outcomes and worse memory performance than adults with insomnia symptoms alone or without any sleep complaints, even after adjustment for comorbidities. The assessment of longitudinal data within this cohort will be critical to understand if insomnia disorder may increase the risk of further cognitive decline.
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Affiliation(s)
- Nathan E Cross
- Institut Universitaire de Geriatrie de Montreal and CRIUGM, CIUSSS du Centre-Sud-de-l'Ile-de-Montreal, Montreal, Canada.,PERFORM Centre, Concordia University, Montreal, Canada.,Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Canada.,Canadian Sleep and Circadian Network, Montreal, Canada
| | - Julie Carrier
- Institut Universitaire de Geriatrie de Montreal and CRIUGM, CIUSSS du Centre-Sud-de-l'Ile-de-Montreal, Montreal, Canada.,Canadian Sleep and Circadian Network, Montreal, Canada.,Center for Advanced Research in Sleep Medicine, Hopital du Sacre- Coeur de Montreal, CIUSSS du Nord-de-l'Ile-de-Montreal, Montreal, Canada
| | - Ronald B Postuma
- Canadian Sleep and Circadian Network, Montreal, Canada.,Center for Advanced Research in Sleep Medicine, Hopital du Sacre- Coeur de Montreal, CIUSSS du Nord-de-l'Ile-de-Montreal, Montreal, Canada.,Department of Neurology, McGill University - Montreal General Hospital, Montreal, Canada
| | - Nadia Gosselin
- Canadian Sleep and Circadian Network, Montreal, Canada.,Center for Advanced Research in Sleep Medicine, Hopital du Sacre- Coeur de Montreal, CIUSSS du Nord-de-l'Ile-de-Montreal, Montreal, Canada.,Department of Psychology, Universite de Montreal, Montreal, Canada
| | - Lisa Kakinami
- PERFORM Centre, Concordia University, Montreal, Canada.,Department of Mathematics and Statistics, Concordia University
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Hopital du Sacre- Coeur de Montreal, CIUSSS du Nord-de-l'Ile-de-Montreal, Montreal, Canada
| | - Florian Chouchou
- Institut Universitaire de Geriatrie de Montreal and CRIUGM, CIUSSS du Centre-Sud-de-l'Ile-de-Montreal, Montreal, Canada.,PERFORM Centre, Concordia University, Montreal, Canada.,IRISSE Laboratory, UFR SHE, University of La Réunion, Le Tampon, France
| | - Thien Thanh Dang-Vu
- Institut Universitaire de Geriatrie de Montreal and CRIUGM, CIUSSS du Centre-Sud-de-l'Ile-de-Montreal, Montreal, Canada.,PERFORM Centre, Concordia University, Montreal, Canada.,Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Canada.,Canadian Sleep and Circadian Network, Montreal, Canada
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27
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Borges CR, Poyares D, Piovezan R, Nitrini R, Brucki S. Alzheimer's disease and sleep disturbances: a review. ARQUIVOS DE NEURO-PSIQUIATRIA 2020; 77:815-824. [PMID: 31826138 DOI: 10.1590/0004-282x20190149] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 06/23/2019] [Indexed: 01/19/2023]
Abstract
The association between Alzheimer's disease (AD) and sleep disturbances has received increasing scientific attention in the last decades. However, little is known about the impact of sleep and its disturbances on the development of preclinical AD stages, such as mild cognitive impairment. This review describes the evolution of knowledge about the potential bidirectional relationships between AD and sleep disturbances exploring recent large prospective studies and meta-analyses and studies of the possible mechanisms through which sleep and the neurodegenerative process could be associated. The review also makes a comprehensive exploration of the sleep characteristics of older people, ranging from cognitively normal individuals, through patients with mild cognitive impairment, up to the those with dementia with AD.
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Affiliation(s)
- Conrado Regis Borges
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brasil
| | - Dalva Poyares
- Universidade Federal de São Paulo, Escola Paulista de Medicina, Instituto do Sono, São Paulo SP, Brasil
| | - Ronaldo Piovezan
- Universidade Federal de São Paulo, Escola Paulista de Medicina, Instituto do Sono, São Paulo SP, Brasil
| | - Ricardo Nitrini
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brasil
| | - Sonia Brucki
- Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Departamento de Neurologia, Grupo de Neurologia Cognitiva e do Comportamento, São Paulo SP, Brasil
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28
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Köckemann U, Alirezaie M, Renoux J, Tsiftes N, Ahmed MU, Morberg D, Lindén M, Loutfi A. Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. SENSORS 2020; 20:s20030879. [PMID: 32041376 PMCID: PMC7038760 DOI: 10.3390/s20030879] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/30/2020] [Accepted: 02/02/2020] [Indexed: 02/04/2023]
Abstract
As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method developments, real data sets that are open and shared are equally as important. This paper presents the E-care@home system, its installation in a real home setting, and a series of data sets that were collected using the E-care@home system. Our first contribution, the E-care@home system, is a collection of software modules for data collection, labeling, and various reasoning tasks such as activity recognition, person counting, and configuration planning. It supports a heterogeneous set of sensors that can be extended easily and connects collected sensor data to higher-level Artificial Intelligence (AI) reasoning modules. Our second contribution is a series of open data sets which can be used to recognize activities of daily living. In addition to these data sets, we describe the technical infrastructure that we have developed to collect the data and the physical environment. Each data set is annotated with ground-truth information, making it relevant for researchers interested in benchmarking different algorithms for activity recognition.
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Affiliation(s)
- Uwe Köckemann
- Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, 70182 Örebro, Sweden; (M.A.); (J.R.); (A.L.)
- Correspondence:
| | - Marjan Alirezaie
- Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, 70182 Örebro, Sweden; (M.A.); (J.R.); (A.L.)
| | - Jennifer Renoux
- Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, 70182 Örebro, Sweden; (M.A.); (J.R.); (A.L.)
| | - Nicolas Tsiftes
- RISE SICS, RISE Research Institutes of Sweden, 16440 Stockholm, Sweden;
| | - Mobyen Uddin Ahmed
- School of Innovation Design and Engineering (IDT), Mälardalen University, 72220 Västerås, Sweden; (M.U.A.); (D.M.); (M.L.)
| | - Daniel Morberg
- School of Innovation Design and Engineering (IDT), Mälardalen University, 72220 Västerås, Sweden; (M.U.A.); (D.M.); (M.L.)
| | - Maria Lindén
- School of Innovation Design and Engineering (IDT), Mälardalen University, 72220 Västerås, Sweden; (M.U.A.); (D.M.); (M.L.)
| | - Amy Loutfi
- Centre for Applied Autonomous Sensor Systems (AASS), Örebro University, 70182 Örebro, Sweden; (M.A.); (J.R.); (A.L.)
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29
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Jee HJ, Shin W, Jung HJ, Kim B, Lee BK, Jung YS. Impact of Sleep Disorder as a Risk Factor for Dementia in Men and Women. Biomol Ther (Seoul) 2020; 28:58-73. [PMID: 31838834 PMCID: PMC6939686 DOI: 10.4062/biomolther.2019.192] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 11/22/2019] [Accepted: 11/26/2019] [Indexed: 12/30/2022] Open
Abstract
Sleep is an essential physiological process, especially for proper brain function through the formation of new pathways and processing information and cognition. Therefore, when sleep is insufficient, this can result in pathophysiologic conditions. Sleep deficiency is a risk factor for various conditions, including dementia, diabetes, and obesity. Recent studies have shown that there are differences in the prevalence of sleep disorders between genders. Insomnia, the most common type of sleep disorder, has been reported to have a higher incidence in females than in males. However, sex/gender differences in other sleep disorder subtypes are not thoroughly understood. Currently, increasing evidence suggests that gender issues should be considered important when prescribing medicine. Therefore, an investigation of the gender-dependent differences in sleep disorders is required. In this review, we first describe sex/gender differences not only in the prevalence of sleep disorders by category but in the efficacy of sleep medications. In addition, we summarize sex/gender differences in the impact of sleep disorders on incident dementia. This may help understand gender-dependent pathogenesis of sleep disorders and develop therapeutic strategies in men and women.
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Affiliation(s)
- Hye Jin Jee
- College of Pharmacy, Ajou University, Suwon 16499, Republic of Korea.,Research Institute of Pharmaceutical Sciences and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Wonseok Shin
- College of Pharmacy, Ajou University, Suwon 16499, Republic of Korea
| | - Ho Joong Jung
- College of Pharmacy, Ajou University, Suwon 16499, Republic of Korea
| | - Baekgyu Kim
- Graduate School of Global Pharmaceutical Industry and Clinical Pharmacy, Ajou University, Suwon 16499, Republic of Korea
| | - Bo Kyung Lee
- College of Pharmacy, Ajou University, Suwon 16499, Republic of Korea
| | - Yi-Sook Jung
- College of Pharmacy, Ajou University, Suwon 16499, Republic of Korea.,Research Institute of Pharmaceutical Sciences and Technology, Ajou University, Suwon 16499, Republic of Korea.,Graduate School of Global Pharmaceutical Industry and Clinical Pharmacy, Ajou University, Suwon 16499, Republic of Korea
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30
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Kovrov GV, Medvedeva AV, Aronson AV, Berleva YV, Esyunina IS, Kulikova VS, Marshanskaya MA. Daytime sleepiness and cognitive disorders in elderly patients. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:96-102. [DOI: 10.17116/jnevro202012001196] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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31
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Carvalho DZ, St Louis EK, Knopman DS, Boeve BF, Lowe VJ, Roberts RO, Mielke MM, Przybelski SA, Machulda MM, Petersen RC, Jack CR, Vemuri P. Association of Excessive Daytime Sleepiness With Longitudinal β-Amyloid Accumulation in Elderly Persons Without Dementia. JAMA Neurol 2019. [PMID: 29532057 DOI: 10.1001/jamaneurol.2018.0049] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Importance Aging is associated with excessive daytime sleepiness (EDS), which has been linked to cognitive decline in the elderly. However, whether EDS is associated with the pathologic processes of Alzheimer disease remains unclear. Objective To investigate whether EDS at baseline is associated with a longitudinal increase in regional β-amyloid (Aβ) accumulation in a cohort of elderly individuals without dementia. Design, Setting, and Participants This prospective analysis included participants enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study in Olmsted County, Minnesota. Of 2900 participants, 2172 (74.9%) agreed to undergo carbon 11-labeled Pittsburgh compound B positron emission tomography (PiB-PET). We included 283 participants 70 years or older without dementia who completed surveys assessing sleepiness at baseline and had at least 2 consecutive PiB-PET scans from January 1, 2009, through July 31, 2016, after excluding 45 (13.7%) who had a comorbid neurologic disorder. Main Outcomes and Measures Excessive daytime sleepiness was defined as an Epworth Sleepiness Scale score of at least 10. The difference in Aβ levels between the 2 consecutive scans (ΔPiB) in Aβ-susceptible regions (prefrontal, anterior cingulate, posterior cingulate-precuneus, and parietal) was determined. Multiple linear regression models were fit to explore associations between baseline EDS and ΔPiB while adjusting for baseline age, sex, presence of the apolipoprotein E ε4 allele, educational level, baseline PiB uptake, global PiB positivity (standardized uptake value ratio ≥1.4), physical activity, cardiovascular comorbidities (obesity, hypertension, hyperlipidemia, and diabetes), reduced sleep duration, respiratory symptoms during sleep, depression, and interval between scans. Results Of the initial 283 participants, mean (SD) age was 77.1 (4.8) years; 204 (72.1%) were men and 79 (27.9%) were women. Sixty-three participants (22.3%) had EDS. Baseline EDS was significantly associated with increased regional Aβ accumulation in the anterior cingulate (B coefficient = 0.031; 95% CI, 0.001-0.061; P = .04), posterior cingulate-precuneus (B coefficient = 0.038; 95% CI, 0.006-0.069; P = .02), and parietal (B coefficient = 0.033; 95% CI, 0.001-0.065; P = .04) regions. Association of EDS with longitudinal Aβ accumulation was stronger in participants with baseline global PiB positivity in the anterior cingulate (B coefficient = 0.065; 95% CI, 0.010-0.118; P = .02) and cingulate-precuneus (B coefficient = 0.068; 95% CI, 0.009-0.126; P = .02) regions. Conclusions and Relevance Baseline EDS was associated with increased longitudinal Aβ accumulation in elderly persons without dementia, suggesting that those with EDS may be more vulnerable to pathologic changes associated with Alzheimer disease. Further work is needed to elucidate whether EDS is a clinical marker of greater sleep instability, synaptic or network overload, or neurodegeneration of wakefulness-promoting centers. Early identification of patients with EDS and treatment of underlying sleep disorders could reduce Aβ accumulation in this vulnerable group.
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Affiliation(s)
| | | | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Rosebud O Roberts
- Department of Neurology, Mayo Clinic, Rochester, Minnesota.,Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, Minnesota.,Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Scott A Przybelski
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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32
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Leng Y, Redline S, Stone KL, Ancoli-Israel S, Yaffe K. Objective napping, cognitive decline, and risk of cognitive impairment in older men. Alzheimers Dement 2019; 15:1039-1047. [PMID: 31227429 DOI: 10.1016/j.jalz.2019.04.009] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 03/11/2019] [Accepted: 04/10/2019] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Little is known about the longitudinal association between napping and cognitive impairment in older adults. METHODS We used wrist actigraphy to measure naps in 2751 community-dwelling older men. Cognition was assessed repeatedly over 12 years, and clinically significant cognitive impairment was determined by physician diagnosis, Alzheimer's medication use or a significant cognitive decline. RESULTS After adjustment for all covariates, men with longer napping duration had greater cognitive decline and higher risk of cognitive impairment. Men who napped for ≥120 min/day (vs. <30 min/day) were 66% more likely to develop cognitive impairment (odds ratio = 1.66, 95% CI: 1.09-2.54) in 12 years. Further adjustment for nighttime sleep quality did not appreciably alter the results. The association between napping and cognitive impairment was more pronounced among those with higher sleep efficiency and average sleep duration. DISCUSSION Napping might be useful as an early marker of cognitive impairment in the elderly, and its cognitive effects may differ by nighttime sleep.
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Affiliation(s)
- Yue Leng
- Department of Psychiatry, University of California, San Francisco, CA, USA.
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Katie L Stone
- Research Institute, California Pacific Medical Center, San Francisco, CA, USA
| | | | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology, University of California, San Francisco, San Francisco VA Medical Center, San Francisco, CA, USA
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Alperin N, Wiltshire J, Lee SH, Ramos AR, Hernandez-Cardenache R, Rundek T, Curiel Cid R, Loewenstein D. Effect of sleep quality on amnestic mild cognitive impairment vulnerable brain regions in cognitively normal elderly individuals. Sleep 2019; 42:zsy254. [PMID: 30541112 PMCID: PMC6424074 DOI: 10.1093/sleep/zsy254] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 10/22/2018] [Accepted: 12/10/2018] [Indexed: 01/01/2023] Open
Abstract
STUDY OBJECTIVES This study aims to evaluate the extent to which sleep quality impacts amnestic mild cognitive impairment (aMCI)-related brain regions in a cognitively normal cohort of individuals. METHODS Seventy-four participants were rigorously evaluated using a battery of cognitive tests and a detailed clinical assessment to verify normal cognitive status. We then screened for sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and depressive symptoms using the Geriatric Depression Scale (GDS). Five subjects were excluded due to mild depression. Overall 38 individuals with mean age 70.7 ± 7 were classified as poor sleepers and 31 with mean age of 69.6 ± 6 years as normal sleepers. Structural MRI and Freesurfer brain parcellation were used to measure aMCI-related brain regions. RESULTS Relative to normal sleepers, poor sleepers exhibited significant reductions in cortical and subcortical volumes bilaterally in the hippocampi, as well as in the superior parietal lobules and left amygdala. The effects were strongest in the left superior parietal lobule (p < .015), followed by the hippocampi. Diffuse patterns of cortical thinning were observed in the frontal lobes, but significant effects were concentrated in the right mesial frontal cortex. Lower sleep duration was most correlated with cortical volume and thickness reductions among all subjects. CONCLUSIONS Atrophy related to poor sleep quality impacted a number of regions implicated in aMCI and Alzheimer's disease (AD). As such, interventions targeted towards improving sleep quality amongst the elderly may prove an effective tool for modulating the course of aMCI and AD.
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Affiliation(s)
- Noam Alperin
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL
| | - John Wiltshire
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL
| | - Sang H Lee
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL
| | - Rene Hernandez-Cardenache
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL
| | - Rosie Curiel Cid
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL
| | - David Loewenstein
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL
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Daneault V, Dumont M, Massé É, Forcier P, Boré A, Lina JM, Doyon J, Vandewalle G, Carrier J. Plasticity in the Sensitivity to Light in Aging: Decreased Non-visual Impact of Light on Cognitive Brain Activity in Older Individuals but No Impact of Lens Replacement. Front Physiol 2018; 9:1557. [PMID: 30459639 PMCID: PMC6232421 DOI: 10.3389/fphys.2018.01557] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 10/17/2018] [Indexed: 11/29/2022] Open
Abstract
Beyond its essential visual role, light, and particularly blue light, has numerous non-visual effects, including stimulating cognitive functions and alertness. Non-visual effects of light may decrease with aging and contribute to cognitive and sleepiness complaints in aging. However, both the brain and the eye profoundly change in aging. Whether the stimulating effects light on cognitive brain functions varies in aging and how ocular changes may be involved is not established. We compared the impact of blue and orange lights on non-visual cognitive brain activity in younger (23.6 ± 2.5 years), and older individuals with their natural lenses (NL; 66.7 ± 5.1 years) or with intraocular lens (IOL) replacement following cataract surgery (69.6 ± 4.9 years). Analyses reveal that blue light modulates executive brain responses in both young and older individuals. Light effects were, however, stronger in young individuals including in the hippocampus and frontal and cingular cortices. Light effects did not significantly differ between older-IOL and older-NL while regression analyses indicated that differential brain engagement was not underlying age-related differences in light effects. These findings show that, although its impact decreases, light can stimulate cognitive brain activity in aging. Since lens replacement did not affect light impact, the brain seems to adapt to the progressive decrease in retinal light exposure in aging.
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Affiliation(s)
- Véronique Daneault
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, Montreal, QC, Canada.,Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Marie Dumont
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychiatry, University of Montreal, Montreal, QC, Canada
| | - Éric Massé
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, Montreal, QC, Canada.,Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada
| | - Pierre Forcier
- École d'Optométrie, University of Montreal, Montreal, QC, Canada
| | - Arnaud Boré
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, Montreal, QC, Canada
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Génie Électrique, École de technologie supérieure, Montreal, QC, Canada.,Centre de Recherches Mathématiques, Université de Montréal, Montreal, QC, Canada
| | - Julien Doyon
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Julie Carrier
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, Montreal, QC, Canada.,Center for Advanced Research in Sleep Medicine, CIUSSS-NÎM - Hôpital du Sacré-Cœur de Montréal, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
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Abstract
BACKGROUND Sleep disturbance plays a significant role in cognitive impairment following traumatic brain injury (TBI). OBJECTIVES To summarize recent findings that examine sleep disturbance and cognition in TBI. METHODS Epidemiological information on sleep disorders in people with TBI is presented. A simple introduction to the role of sleep in normal cognition provides context for the literature on clinical populations. Current theory on the mechanisms underlying cognitive problems in people with sleep disorder is briefly described. Findings on the relationship between sleep disorder and cognitive problems in TBI is examined in more detail. RESULTS Consistent reports of an association between sleep duration and cognition include several studies noting positive associations (shorter sleep duration accompanies cognitive impairment) and others observing negative associations (longer sleep duration accompanies cognitive problems). Both insomnia and hypersomnolence are forms of sleep disturbance that disrupt key mental processes such as memory consolidation. Obstructive sleep apnea, cerebral structural abnormalities, neurochemical changes and psychiatric pathology are implicated. CONCLUSIONS Additional information is needed on how severity of injury impacts sleep and cognition. Hypothesized mechanisms underlying the effects of sleep on cognition in TBI should be empirically tested. Further, discrepancies between objective and subjective measures of sleep and cognition must be explored.
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Affiliation(s)
- Eric B Larson
- Marianjoy Rehabilitation Hospital, 26W171 Roosevelt Road, Wheaton, IL 60187, USA. Tel.: +1 630 909 8608; Fax: +1 630 909 6572; E-mail:
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Sleep disturbances increase the risk of dementia: A systematic review and meta-analysis. Sleep Med Rev 2018; 40:4-16. [PMID: 28890168 DOI: 10.1016/j.smrv.2017.06.010] [Citation(s) in RCA: 458] [Impact Index Per Article: 76.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 05/29/2017] [Accepted: 06/28/2017] [Indexed: 11/23/2022]
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Sleep disturbances and dementia risk: A multicenter study. Alzheimers Dement 2018; 14:1235-1242. [PMID: 30030112 DOI: 10.1016/j.jalz.2018.05.012] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2017] [Revised: 04/10/2018] [Accepted: 05/17/2018] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Few longitudinal studies assessed whether sleep disturbances are associated with dementia risk. METHODS Sleep disturbances were assessed in three population-based studies (H70 study and Kungsholmen Project [Sweden]; Cardiovascular Risk Factors, Aging and Dementia study [Finland]). Late-life baseline analyses (3-10 years follow-up) used all three studies (N = 1446). Baseline ages ≈ 70 years (Cardiovascular Risk Factors, Aging and Dementia, H70), and ≈84 years (Kungsholmen Project). Midlife baseline (age ≈ 50 years) analyses used Cardiovascular Risk Factors, Aging and Dementia (21 and 32 years follow-up) (N = 1407). RESULTS Midlife insomnia (fully adjusted hazard ratio = 1.24, 95% confidence interval = 1.02-1.50) and late-life terminal insomnia (fully adjusted odds ratio = 1.94, 95% confidence interval = 1.08-3.49) were associated with a higher dementia risk. Late-life long sleep duration (>9 hours) was also associated with an increased dementia risk (adjusted odds ratio = 3.98, 95% confidence interval = 1.87-8.48). DISCUSSION Midlife insomnia and late-life terminal insomnia or long sleep duration were associated with a higher late-life dementia risk.
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Rozzini L, Conti MZ, Riva M, Ceraso A, Caratozzolo S, Zanetti M, Padovani A. Non-amnestic mild cognitive impairment and sleep complaints: a bidirectional relationship? Aging Clin Exp Res 2018; 30:661-668. [PMID: 28849412 DOI: 10.1007/s40520-017-0814-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 08/02/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Prior studies documented that several sleep disorders may coexist in patients affected by Mild Cognitive Impairment (MCI) and Alzheimer disease (AD), and have a strong bidirectional relationship with cognitive decline. AIM To assess the self-reported sleep quality and daytime sleepiness among subjects affected by MCI and AD at early-stage and healthy controls, and to verify if sleep disturbances might be an indicator of specific cognitive deficits. METHODS 139 patients (102 MCI, 37 AD) underwent comprehensive neuropsychological, functional, and behavioral assessment, which also included Epworth Sleepiness Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). 80 healthy elderly subjects were used as controls. MCI patients have been divided into Good Sleepers and Bad Sleepers, depending on their reported sleep quality (PSQI global score ≤5/>5). RESULTS MCI patients experienced more subjective daytime sleepiness than AD matches. As for the subjective sleep quality among MCI patients, 54% of Bad Sleepers met diagnostic criteria for non-amnestic MCI; vice-versa, 73% of Good Sleepers were diagnosed with amnestic-MCI (p = 0.005), independently of depression and anxiety. CONCLUSIONS MCI patients complain of daytime sleepiness and dysfunction more than AD patients; among MCI patients, Bad Sleepers appear mainly characterized by a non-amnestic cognitive profile.
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Affiliation(s)
- Luca Rozzini
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy.
- Geriatric Research Group, Brescia, Italy.
| | - Marta Zaffira Conti
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
| | - Maddalena Riva
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
| | - Anna Ceraso
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
| | - Salvatore Caratozzolo
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
| | - Marina Zanetti
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, University of Brescia, Piazzale Spedali Civili, 1, 25100, Brescia, Italy
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Xu X, Kan CN, Wong TY, Cheng CY, Ikram MK, Chen CLH, Venketasubramanian N. Caregiver-Reported Sleep Disturbances Are Associated With Behavioral and Psychological Symptoms in an Asian Elderly Cohort With Cognitive Impairment-No Dementia. J Geriatr Psychiatry Neurol 2018; 31:70-75. [PMID: 29554838 DOI: 10.1177/0891988718758203] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE Sleep disturbances were found to be associated with more behavioral and psychological symptoms (BPS) in early patients with Alzheimer's disease (AD). However, data on preclinical stages of dementia are lacking. Hence, the present study sought to investigate the association between sleep disturbances and BPS in dementia-free elderly with varying severity of cognitive impairment in an Asian sample. METHODS Community-living elderly were recruited and administered a comprehensive cognitive battery (vascular dementia battery [VDB]) and the Neuropsychiatric Inventory to assess symptoms of sleep disturbances and BPS. Severity of cognitive impairment was diagnosed and classified as no cognitive impairment (NCI), cognitive impairment-no dementia (CIND) -mild (1-2 impaired domains on the VDB), and CIND-moderate (≥3 impaired domains on the VDB). Analysis of variance was conducted to assess the associations between the presence of sleep disturbances and BPS scores in each diagnostic group. Logistic regression was used to examine whether the coexistence of sleep disturbances and other BPS was associated with CIND-moderate, which is known to carry a higher risk of progression to AD. RESULTS Among 839 elderly, 79 (9.4%) reported sleep disturbances. Participants with sleep disturbances had higher total BPS burden than those without among CIND participants but not in NCIs. Furthermore, CIND-moderate participants with sleep disturbances had more delusions, hallucinations, anxiety, depression, irritability, aberrant motor behavior, and appetite change ( P < .05). The presence of both sleep disturbances and other BPS was associated with CIND-moderate (odds ratio: 2.5, 95% confidence interval: 1.1-5.5). CONCLUSIONS Sleep disturbances are associated with higher total BPS burden and specific BPS among elderly patients with cognitive impairment, particularly those with CIND moderate, which carries higher risk of developing dementia.
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Affiliation(s)
- Xin Xu
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore.,3 Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Cheuk Ni Kan
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore
| | - Tien Yin Wong
- 4 Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, National University of Singapore, Singapore.,5 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Ching-Yu Cheng
- 5 Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - M Kamran Ikram
- 6 Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.,7 Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Christopher Li-Hsian Chen
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore
| | - Narayanaswamy Venketasubramanian
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore.,8 Raffles Neuroscience Centre, Raffles Hospital, Singapore
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40
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Malkani RG, Zee PC. Sleeping well and staying in rhythm to stave off dementia. Sleep Med Rev 2018; 40:1-3. [PMID: 29477582 DOI: 10.1016/j.smrv.2018.01.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 01/23/2018] [Indexed: 10/18/2022]
Affiliation(s)
- Roneil G Malkani
- Department of Neurology, Division Sleep Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Center for Circadian and Sleep Medicine, Northwestern University, Chicago, IL, USA.
| | - Phyllis C Zee
- Department of Neurology, Division Sleep Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Center for Circadian and Sleep Medicine, Northwestern University, Chicago, IL, USA.
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Mortby ME, Burns R, Eramudugolla R, Ismail Z, Anstey KJ. Neuropsychiatric Symptoms and Cognitive Impairment: Understanding the Importance of Co-Morbid Symptoms. J Alzheimers Dis 2017; 59:141-153. [DOI: 10.3233/jad-170050] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Moyra E. Mortby
- Centre for Research on Ageing, Health andWellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
- NHMRC National Institute for Dementia Research, Australia
| | - Richard Burns
- Centre for Research on Ageing, Health andWellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Ranmalee Eramudugolla
- Centre for Research on Ageing, Health andWellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
| | - Zahinoor Ismail
- Departments of Psychiatry and Clinical Neurosciences, Mathison Centre for Mental Health Research &Education, Ron and Rene Centre for Healthy Brain Aging Research, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Kaarin J. Anstey
- Centre for Research on Ageing, Health andWellbeing, Research School of Population Health, The Australian National University, Canberra, Australia
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Macedo AC, Balouch S, Tabet N. Is Sleep Disruption a Risk Factor for Alzheimer’s Disease? J Alzheimers Dis 2017; 58:993-1002. [DOI: 10.3233/jad-161287] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
| | - Sara Balouch
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, England, UK
| | - Naji Tabet
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, England, UK
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Kang DW, Lee CU, Lim HK. Role of Sleep Disturbance in the Trajectory of Alzheimer's Disease. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2017; 15:89-99. [PMID: 28449556 PMCID: PMC5426492 DOI: 10.9758/cpn.2017.15.2.89] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 10/16/2016] [Accepted: 10/17/2016] [Indexed: 12/21/2022]
Abstract
Sleep disturbances such as insomnia, hypersomnia, and circadian rhythm disturbance are common in normal elderly and Alzheimer’s disease (AD) patients. To date, special attention has been paid to sleep disturbance in the clinical course of AD insofar as the interaction of sleep disturbance with the pathogenesis of AD may impact the clinical course and cognitive function of AD patients. This review covers the bidirectional relationship between sleep disturbance and AD pathogenesis; the associations between sleep disturbance and AD-specific neurotransmitters, brain structure, and aspects of sleep disturbance in each phase of AD; and the effects of sleep disturbance on the cognitive functions of patients in each phase of AD. We consider several factors required to exactly interpret the results and suggest a direction for future studies on the role of sleep disturbance in AD.
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Affiliation(s)
- Dong Woo Kang
- Department of Psychiatry, Seoul Saint Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Korea
| | - Chang Uk Lee
- Department of Psychiatry, Seoul Saint Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Korea
| | - Hyun Kook Lim
- Department of Psychiatry, Saint Vincent's Hospital, College of Medicine, Catholic University of Korea, Suwon, Korea
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Zhang F, Zhong R, Li S, Chang RCC, Le W. The missing link between sleep disorders and age-related dementia: recent evidence and plausible mechanisms. J Neural Transm (Vienna) 2017; 124:559-568. [PMID: 28188439 DOI: 10.1007/s00702-017-1696-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 12/30/2016] [Indexed: 12/14/2022]
Abstract
Sleep disorders are among the most common clinical problems and possess a significant concern for the geriatric population. More importantly, while around 40% of elderly adults have sleep-related complaints, sleep disorders are more frequently associated with co-morbidities including age-related neurodegenerative diseases and mild cognitive impairment. Recently, increasing evidence has indicated that disturbed sleep may not only serve as the consequence of brain atrophy, but also contribute to the pathogenesis of dementia and, therefore, significantly increase dementia risk. Since the current therapeutic interventions lack efficacies to prevent, delay or reverse the pathological progress of dementia, a better understanding of underlying mechanisms by which sleep disorders interact with the pathogenesis of dementia will provide possible targets for the prevention and treatment of dementia. In this review, we briefly describe the physiological roles of sleep in learning/memory, and specifically update the recent research evidence demonstrating the association between sleep disorders and dementia. Plausible mechanisms are further discussed. Moreover, we also evaluate the possibility of sleep therapy as a potential intervention for dementia.
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Affiliation(s)
- Feng Zhang
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Rujia Zhong
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Song Li
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Raymond Chuen-Chung Chang
- Laboratory of Neurodegenerative Diseases, LKS Faculty of Medicine, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Weidong Le
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China. .,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China. .,Collaborative Innovation Center for Brain Science, The First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China.
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Sleep and cognitive aging: emerging bedfellows: Editorial for Carvalho et al. Sleep Med 2016; 32:244-245. [PMID: 28057497 DOI: 10.1016/j.sleep.2016.09.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Accepted: 09/09/2016] [Indexed: 01/03/2023]
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Carvalho DZ, St Louis EK, Boeve BF, Mielke MM, Przybelski SA, Knopman DS, Machulda MM, Roberts RO, Geda YE, Petersen RC, Jack CR, Vemuri P. Excessive daytime sleepiness and fatigue may indicate accelerated brain aging in cognitively normal late middle-aged and older adults. Sleep Med 2016; 32:236-243. [PMID: 28065685 DOI: 10.1016/j.sleep.2016.08.023] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 07/30/2016] [Accepted: 08/04/2016] [Indexed: 12/29/2022]
Abstract
Excessive daytime sleepiness (EDS) and fatigue increases with age. The aim of this study was to investigate the association between EDS and fatigue with cortical thickness and hippocampal volume in cognitively normal, late middle-aged and older adults. We performed a cross-sectional observational study of 1374 cognitively-normal subjects aged 50 years and older who had a structural MRI. Regional cortical thickness and hippocampal volume were measured. Multiple linear regression models were fit to explore associations between EDS and fatigue and structural MRI measures in different brain regions, adjusting for multiple covariates. EDS was defined as Epworth Sleepiness Scale ≥10. Fatigue severity was assessed with the Beck Depression Inventory-2. 208 participants had EDS, 27 had significant fatigue, and 11 had both. Participants with EDS or fatigue had significantly lower cognitive scores, more disturbed sleep, and medical comorbidities. The presence of EDS was associated with both global and regional atrophy, whereas fatigue was more associated with frontal and temporal changes. Cortical thinning predicted by EDS and fatigue was maximal in the temporal region with average reduction of 34.2 μm (95% CI, -54.1, -14.3; P = 0.001) and 90.2 μm (95% CI, -142.1, -38.2; P = 0.001), respectively. Fatigue was also associated with hippocampal volume reduction of -374.2 mm3 (95% CI, -670.8, -77.7; P = 0.013). Temporal cortical thinning predicted by presence of EDS and fatigue was equivalent to more than 3.5 and 9 additional years of aging, respectively. EDS and fatigue were associated with cortical thickness reduction primarily in regions with increased age-susceptibility, which may indicate accelerated brain aging.
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Affiliation(s)
| | | | | | - Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Rosebud O Roberts
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Yonas E Geda
- Department of Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry, Mayo Clinic, Scottsdale, AZ, USA; Department of Neurology, Mayo Clinic, Scottsdale, AZ, USA
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Luojus MK, Lehto SM, Tolmunen T, Brem AK, Lönnroos E, Kauhanen J. Self-reported sleep disturbance and incidence of dementia in ageing men. J Epidemiol Community Health 2016; 71:329-335. [DOI: 10.1136/jech-2016-207764] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/30/2016] [Accepted: 10/01/2016] [Indexed: 01/30/2023]
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Ramos AR, Gardener H, Rundek T, Elkind MSV, Boden-Albala B, Dong C, Cheung YK, Stern Y, Sacco RL, Wright CB. Sleep disturbances and cognitive decline in the Northern Manhattan Study. Neurology 2016; 87:1511-1516. [PMID: 27590286 DOI: 10.1212/wnl.0000000000003168] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 06/16/2016] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE To examine frequent snoring, sleepiness, and sleep duration with baseline and longitudinal performance on neuropsychological (NP) battery. METHODS The analysis consists of 711 participants of the Northern Manhattan Study (NOMAS) with sleep data and NP assessment (age 63 ± 8 years, 62% women, 18% white, 17% black, 67% Hispanic) and 687 with repeat NP testing (at a mean of 6 ± 2 years). The main exposures were snoring, sleepiness, and sleep duration obtained during annual follow-up. Using factor analysis-derived domain-specific Z scores for episodic memory, language, executive function, and processing speed, we constructed multivariable regression models to evaluate sleep symptoms with baseline NP performance and change in performance in each NP domain. RESULTS In the cross-sectional analysis, adjusting for demographics and the NOMAS vascular risk score, participants with frequent snoring had worse executive function (β = -12; p = 0.04) and processing speed (β = -13; p = 0.02), but no difference in with episodic memory or language. Those with severe daytime sleepiness (β = -26; p = 0.009) had worse executive function, but no changes in the other NP domains. There was no cross-sectional association between sleep duration and NP performance. Frequent snoring (β = -29; p = 0.0007), severe daytime sleepiness (β = -29; p = 0.05), and long sleep duration (β = -29; p = 0.04) predicted decline in executive function, adjusting for demographic characteristics and NOMAS vascular risk score. Sleep symptoms did not explain change in episodic memory, language, or processing speed. CONCLUSIONS In this race-ethnically diverse community-based cohort, sleep symptoms led to worse cognitive performance and predicted decline in executive function.
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Affiliation(s)
- Alberto R Ramos
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Hannah Gardener
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Tatjana Rundek
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Mitchell S V Elkind
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Bernadette Boden-Albala
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Chuanhui Dong
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Ying Kuen Cheung
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Yaakov Stern
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Ralph L Sacco
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York
| | - Clinton B Wright
- From the Department of Neurology, The Evelyn F. McKnight Brain Institute (A.R.R., H.G., T.R., C.D., R.L.S., C.B.W.), University of Miami Miller School of Medicine, FL; Department of Neurology, College of Physicians and Surgeons (M.S.V.E., Y.S.), and Departments of Epidemiology (M.S.V.E.) and Biostatistics (Y.K.C.), Mailman School of Public Health, Columbia University; and New York University (B.B.-A.), New York.
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Bokenberger K, Ström P, Dahl Aslan AK, Johansson ALV, Gatz M, Pedersen NL, Åkerstedt T. Association Between Sleep Characteristics and Incident Dementia Accounting for Baseline Cognitive Status: A Prospective Population-Based Study. J Gerontol A Biol Sci Med Sci 2016; 72:134-139. [PMID: 27402049 DOI: 10.1093/gerona/glw127] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 06/19/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Although research has shown that sleep disorders are prevalent among people with dementia, the temporal relationship is unclear. We investigated whether atypical sleep characteristics were associated with incident dementia while accounting for baseline cognitive functioning. METHODS Screening Across the Lifespan Twin (SALT) study participants were 11,247 individuals from the Swedish Twin Registry who were at least 65 years at baseline (1998-2002). Sleep and baseline cognitive functioning were assessed via the SALT telephone screening interview. Data on dementia diagnoses came from national health registers. Cox regression was performed to estimate hazard ratios for dementia. RESULTS After 17 years of follow-up, 1,850 dementia cases were identified. Short (≤6 hours) and extended (>9 hours) time in bed (TIB) compared to the middle reference group (hazard ratio = 1.40, 95% confidence interval = 1.06-1.85; hazard ratio = 1.11, 95% confidence interval = 1.00-1.24, respectively) and rising at 8:00 AM or later compared to earlier rising (hazard ratio = 1.12, 95% confidence interval = 1.01-1.24) were associated with higher dementia incidence. Bedtime, sleep quality, restorative sleep, and heavy snoring were not significant predictors. Findings stratified by baseline cognitive status indicated that the association between short TIB and dementia remained in those cognitively intact at the start. CONCLUSIONS Short and extended TIB and delayed rising among older adults predicted increased dementia incidence in the following 17 years. The pattern of findings suggests that extended TIB and late rising represent prodromal features whereas short TIB appeared to be a risk factor for dementia.
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Affiliation(s)
- Kathleen Bokenberger
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Peter Ström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna K Dahl Aslan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Institute of Gerontology, School of Health and Welfare, Jönköping University, Sweden
| | - Anna L V Johansson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Psychology, University of Southern California, Los Angeles
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Psychology, University of Southern California, Los Angeles
| | - Torbjörn Åkerstedt
- Stress Research Institute, Stockholm University, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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de Almondes KM, Costa MV, Malloy-Diniz LF, Diniz BS. Insomnia and risk of dementia in older adults: Systematic review and meta-analysis. J Psychiatr Res 2016; 77:109-15. [PMID: 27017287 DOI: 10.1016/j.jpsychires.2016.02.021] [Citation(s) in RCA: 115] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 01/13/2016] [Accepted: 02/25/2016] [Indexed: 10/22/2022]
Abstract
There are cross-sectional evidences of an association between sleep disorders and cognitive impairment on older adults. However, there are no consensus by means of longitudinal studies data on the increased risk of developing dementia related to insomnia. We conduct a systematic review and meta-analysis to evaluate the risk of incident all-cause dementia in individuals with insomnia in population-based prospective cohort studies. Five studies of 5.242 retrieved references were included in the meta-analysis. We used the generic inverse variance method with a random effects model to calculate the pooled risk of dementia in older adults with insomnia. We assessed heterogeneity in the meta-analysis by means of the Q-test and I2 index. Study quality was assessed with the Newcastle-Ottawa Scale The results showed that Insomnia was associated with a significant risk of all-cause dementia (RR = 1.53 CI95% (1.07-2.18), z = 2.36, p = 0.02). There was evidence for significant heterogeneity in the analysis (q-value = 2.4, p < 0.001 I2 = 82%). Insomnia is associated with an increased risk for dementia. This results provide evidences that future studies should investigate dementia prevention among elderly individuals through screening and proper management of insomnia.
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Affiliation(s)
| | - Mônica Vieira Costa
- Laboratory of Investigations in Clinical Neurosciences, Federal University of Minas Gerais, School of Medicine, Belo Horizonte, MG, Brazil.
| | - Leandro Fernandes Malloy-Diniz
- Laboratory of Investigations in Clinical Neurosciences, Federal University of Minas Gerais, School of Medicine, Belo Horizonte, MG, Brazil; Department of Mental Health, Federal University of Minas Gerais School of Medicine, Belo Horizonte, MG, Brazil.
| | - Breno Satler Diniz
- Laboratory of Investigations in Clinical Neurosciences, Federal University of Minas Gerais, School of Medicine, Belo Horizonte, MG, Brazil; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
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