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Balkin TJ, Simonelli G, Riedy S. Negative health outcomes in long sleepers: The societal sleep restriction hypothesis. Sleep Med Rev 2024; 77:101968. [PMID: 38936221 DOI: 10.1016/j.smrv.2024.101968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/15/2024] [Accepted: 06/04/2024] [Indexed: 06/29/2024]
Abstract
Society imposes work and school schedules, as well as social expectations, that militate against consistently obtaining more than 7-9 h of sleep every 24 h. For most but not all adults this sleep duration is adequate. But among those who consistently obtain more than 9 h of sleep per day ("long sleepers"), there likely exists a subpopulation of individuals who are nevertheless failing to obtain enough sleep to satisfy their physiological sleep needs - a consequence of "restricting" their daily sleep durations to whatever extent they can tolerate so as to conform as closely as possible to society's norms and expectations. It is hypothesized that the 'long sleep arm' of the seemingly paradoxical U-shaped relationship between sleep duration and negative health outcomes can be explained, at least in part, by the existence of a subpopulation of such 'sleep-restricted long sleepers.'
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Affiliation(s)
- Thomas J Balkin
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
| | - Guido Simonelli
- Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada; Department of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada; Center for Advanced Research in Sleep Medicine, Centre Integre Universitaire de Sante et de Services Sociaux Du Nord-de-l'île-de-Montreal, Montreal, QC, Canada
| | - Samantha Riedy
- Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
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Carrero L, Antequera D, Municio C, Carro E. Circadian rhythm disruption and retinal dysfunction: a bidirectional link in Alzheimer's disease? Neural Regen Res 2024; 19:1967-1972. [PMID: 38227523 DOI: 10.4103/1673-5374.390962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 11/07/2023] [Indexed: 01/17/2024] Open
Abstract
Dysfunction in circadian rhythms is a common occurrence in patients with Alzheimer's disease. A predominant function of the retina is circadian synchronization, carrying information to the brain through the retinohypothalamic tract, which projects to the suprachiasmatic nucleus. Notably, Alzheimer's disease hallmarks, including amyloid-β, are present in the retinas of Alzheimer's disease patients, followed/associated by structural and functional disturbances. However, the mechanistic link between circadian dysfunction and the pathological changes affecting the retina in Alzheimer's disease is not fully understood, although some studies point to the possibility that retinal dysfunction could be considered an early pathological process that directly modulates the circadian rhythm.
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Affiliation(s)
- Laura Carrero
- Group of Neurodegenerative Diseases, Hospital Universitario 12 de Octubre Research Institute (imas12), Madrid, Spain; Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), ISCIII, Madrid, Spain
- PhD Program in Neuroscience, Autonoma de Madrid University, Madrid, Spain
| | - Desireé Antequera
- Neurobiology of Alzheimer's Disease Unit, Functional Unit for Research into Chronic Diseases, Instituto de Salud Carlos III, Madrid, Spain; Network Centre for Biomedical Research in Neurodegenerative Diseases (CIBERNED), ISCIII, Madrid, Spain
| | - Cristina Municio
- Group of Neurodegenerative Diseases, Hospital Universitario 12 de Octubre Research Institute (imas12), Madrid, Spain; Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), ISCIII, Madrid, Spain
| | - Eva Carro
- Neurobiology of Alzheimer's Disease Unit, Functional Unit for Research into Chronic Diseases, Instituto de Salud Carlos III, Madrid, Spain; Network Centre for Biomedical Research in Neurodegenerative Diseases (CIBERNED), ISCIII, Madrid, Spain
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Yang Q, Li S, Yang Y, Lin X, Yang M, Tian C, Mao J. Prolonged sleep duration as a predictor of cognitive decline: A meta-analysis encompassing 49 cohort studies. Neurosci Biobehav Rev 2024; 164:105817. [PMID: 39032844 DOI: 10.1016/j.neubiorev.2024.105817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 07/05/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
Despite numerous studies have explored the association between sleep duration and cognition, the link between sleep duration trajectories and cognition remains underexplored. This systematic review aims to elucidate this correlation. We analyzed 55 studies from 14 countries, comprising 36 studies focusing on sleep duration, 20 on insomnia, and 13 on hypersomnia. A total of 10,767,085 participants were included in 49 cohort studies with a mean follow-up duration of 9.1 years. A non-linear association between sleep duration and cognitive decline was identified. Both long (risk ratio (RR):1.35, 95 % confidence intervals (CIs):1.23-1.48) and short sleep durations (RR: 1.12, 95 % CIs:1.03-1.22) were associated with an elevated risk of cognitive decline compared to moderate sleep duration. Additionally, hypersomnia (RR:1.26, 95 % CIs: 1.15-1.39) and insomnia (RR: 1.16, 95 % CIs: 1.002-1.34) were also linked to an increased risk. Moreover, prolonged sleep duration posed a higher risk of cognitive decline than stable sleep duration (RR:1.42, 95 % CIs:1.27-1.59). Importantly, transitioning from short or moderate to long sleep duration, as well as persistent long sleep duration, exhibited higher RRs for cognitive decline (RRs: 1.94, 1.40, and 1.28, respectively) compared to persistent moderate sleep duration. Our findings underscore the significance of prolonged sleep duration, alongside short and long sleep durations, with an elevated risk of cognitive decline. The association is tied to the degree of sleep duration changes. Our study highlights the importance of considering changes in sleep patterns over time, not just static sleep durations.
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Affiliation(s)
- Qing Yang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Suya Li
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yang Yang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuechun Lin
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mengshu Yang
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chong Tian
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Jing Mao
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Gonzales PNG, Villaraza SG, Rosa JACD. The association between sleep and Alzheimer's disease: a systematic review. Dement Neuropsychol 2024; 18:e20230049. [PMID: 39193464 PMCID: PMC11348879 DOI: 10.1590/1980-5764-dn-2023-0049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/20/2024] [Accepted: 05/11/2024] [Indexed: 08/29/2024] Open
Abstract
It is estimated that 45% of individuals with cognitive impairment experience sleep disturbances prior to the onset of cognitive symptoms. Assessing sleeping problems and enhancing sleep quality are critical first steps to reduce the risk of cognitive impairment. Objective To review existing literature based on predefined eligibility criteria to understand the connection between sleep disturbance and Alzheimer's disease. Methods A thorough and systematic evaluation of numerous studies was carried out to assess one or more of the following epidemiological factors: (1) sleep disorders, (2) cognitive impairment, and (3) risk estimates for cognitive impairment due to sleep. Results Studies suggest that individuals who experience memory loss may encounter sleep disturbances before noticing other symptoms. Numerous sleep disorders, such as excessive and inadequate sleep duration, poor sleep quality, circadian rhythm abnormalities, insomnia, and obstructive sleep apnea were found to increase the risk of cognitive dysfunction and dementia. Additionally, lower sleep quality and shorter sleep duration have been linked to higher cerebral-β-amyloid levels. Objective evidence for the development of cognitive impairment is provided by the architecture of sleep stages. Patients experiencing sleep problems may benefit from specific types of sleep medicine as a preventative measure against cognitive decline. Conclusion Sleep disorders can have adverse effects on cognitive health. The duration and quality of sleep are fundamental factors for maintaining a healthy brain as we age. Proper sleep can aid prevent cognitive impairment, particularly Alzheimer's disease and dementia.
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Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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Baril AA, Picard C, Labonté A, Sanchez E, Duclos C, Mohammediyan B, Breitner JCS, Villeneuve S, Poirier J. Longer sleep duration and neuroinflammation in at-risk elderly with a parental history of Alzheimer's disease. Sleep 2024; 47:zsae081. [PMID: 38526098 PMCID: PMC11168764 DOI: 10.1093/sleep/zsae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
STUDY OBJECTIVES Although short sleep could promote neurodegeneration, long sleep may be a marker of ongoing neurodegeneration, potentially as a result of neuroinflammation. The objective was to evaluate sleep patterns with age of expected Alzheimer's disease (AD) onset and neuroinflammation. METHODS We tested 203 dementia-free participants (68.5 ± 5.4 years old, 78M). The PREVENT-AD cohort includes older persons with a parental history of AD whose age was nearing their expected AD onset. We estimated expected years to AD onset by subtracting the participants' age from their parent's at AD dementia onset. We extracted actigraphy sleep variables of interest (times of sleep onset and morning awakening, time in bed, sleep efficiency, and sleep duration) and general profiles (sleep fragmentation, phase delay, and hypersomnia). Cerebrospinal fluid (CSF) inflammatory biomarkers were assessed with OLINK multiplex technology. RESULTS Proximity to, or exceeding, expected age of onset was associated with a sleep profile suggestive of hypersomnia (longer sleep and later morning awakening time). This hypersomnia sleep profile was associated with higher CSF neuroinflammatory biomarkers (IL-6, MCP-1, and global score). Interaction analyses revealed that some of these sleep-neuroinflammation associations were present mostly in those closer/exceeding the age of expected AD onset, APOE4 carriers, and those with better memory performance. CONCLUSIONS Proximity to, or exceeding, parental AD dementia onset was associated with a longer sleep pattern, which was related to elevated proinflammatory CSF biomarkers. We speculate that longer sleep may serve a compensatory purpose potentially triggered by neuroinflammation as individuals are approaching AD onset. Further studies should investigate whether neuroinflammatory-triggered long sleep duration could mitigate cognitive deficits.
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Affiliation(s)
- Andrée-Ann Baril
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS-NIM, Montréal, QC, Canada
- Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Cynthia Picard
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Anne Labonté
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Erlan Sanchez
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Catherine Duclos
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS-NIM, Montréal, QC, Canada
- Department of Anesthesiology and Pain Medicine, Université de Montréal, Montréal, QC, Canada
| | - Béry Mohammediyan
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - John C S Breitner
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Sylvia Villeneuve
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Judes Poirier
- Center for Studies on Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
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Li P, Gao L, Lucey BP, Ju YES, Musiek ES, Hu K. Longer sleep duration in Alzheimer's disease progression: a compensatory response? Sleep 2024; 47:zsae093. [PMID: 38602244 PMCID: PMC11168758 DOI: 10.1093/sleep/zsae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Indexed: 04/12/2024] Open
Affiliation(s)
- Peng Li
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lei Gao
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
| | - Yo-El S Ju
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
- Department of Anesthesiology, Washington University, St Louis, MO, USA
| | - Erik S Musiek
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
- Department of Anesthesiology, Washington University, St Louis, MO, USA
| | - Kun Hu
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Borelli WV, Noll G, Tonon AC, Leotti VB, Castilhos RM, Zimmer ER. Poor sleep quality is an important modifiable risk factor for dementia: Population attributable fraction of poor sleep in a Brazilian population-based study. Int J Geriatr Psychiatry 2024; 39:e6109. [PMID: 38831255 DOI: 10.1002/gps.6109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024]
Abstract
OBJECTIVES The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.
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Affiliation(s)
- Wyllians Vendramini Borelli
- Pharmacology and Therapeutics Research Program, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Giovani Noll
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Medicine: Medical Sciences, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - André C Tonon
- Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Vanessa Bielefeldt Leotti
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Estatística, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Raphael Machado Castilhos
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Eduardo R Zimmer
- Department of Pharmacology, Graduate Program in Biological Sciences: Biochemistry (PPGBioq) and Pharmacology and Therapeutics (PPGFT), Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- McGill Centre for Studies in Aging, Verdun, Quebec, Canada
- Brain Institute of Rio Grande do Sul, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Noordam R, Ao L, Stroo JF, Willems van Dijk K, van Heemst D. No evidence linking sleep traits with white blood cell counts: Multivariable-adjusted and Mendelian randomization analyses. Eur J Clin Invest 2024; 54:e14189. [PMID: 38429948 DOI: 10.1111/eci.14189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Disturbances in habitual sleep have been associated with multiple age-associated diseases. However, the biological mechanisms underpinning these associations remain largely unclear. We assessed the possible involvement of the circulating immune system by determining the associations between sleep traits and white blood cell counts using multivariable-adjusted linear regression and Mendelian randomization. METHODS Cross-sectional multivariable-adjusted linear regression analyses were done using participants within the normal range of total white blood cell counts (>4.5 × 109 and <11.0 × 109/μL) from UK Biobank. For the sleep traits, we examined (short and long) sleep duration, chronotype, insomnia symptoms and daytime dozing. Two-sample Mendelian randomization analyses were done using instruments for sleep traits derived from European-ancestry participants from UK Biobank (over 410,000 participants) and using SNP-outcome data derived from European-ancestry participants from the Blood Cell Consortium (N = 563,946) to which no data from UK Biobank contributed. RESULTS Using data from 357,656 participants (mean [standard deviation] age: 56.5 [8.1] years, and 44.4% men), we did not find evidence that disturbances in any of the studied sleep traits were associated with differences in blood cell counts (total, lymphocytes, neutrophiles, eosinophiles and basophiles). Also, we did not find associations between disturbances in any of the studied sleep traits and white blood cell counts using Mendelian Randomization. CONCLUSION Based on the results from two different methodologies, disturbances in habitual sleep are unlikely to cause changes in blood cell counts and thereby differences in blood cell counts are unlikely to be underlying the observed sleep-disease associations.
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Affiliation(s)
- Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Linjun Ao
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Jasmijn F Stroo
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Leiden Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Diana van Heemst
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
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Xiao X, Rui Y, Jin Y, Chen M. Relationship of Sleep Disorder with Neurodegenerative and Psychiatric Diseases: An Updated Review. Neurochem Res 2024; 49:568-582. [PMID: 38108952 DOI: 10.1007/s11064-023-04086-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/19/2023]
Abstract
Sleep disorders affect many people worldwide and can accompany neurodegenerative and psychiatric diseases. Sleep may be altered before the clinical manifestations of some of these diseases appear. Moreover, some sleep disorders affect the physiological organization and function of the brain by influencing gene expression, accelerating the accumulation of abnormal proteins, interfering with the clearance of abnormal proteins, or altering the levels of related hormones and neurotransmitters, which can cause or may be associated with the development of neurodegenerative and psychiatric diseases. However, the detailed mechanisms of these effects are unclear. This review mainly focuses on the relationship between and mechanisms of action of sleep in Alzheimer's disease, depression, and anxiety, as well as the relationships between sleep and Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. This summary of current research hotspots may provide researchers with better clues and ideas to develop treatment solutions for neurodegenerative and psychiatric diseases associated with sleep disorders.
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Affiliation(s)
- Xiao Xiao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yimin Rui
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yu Jin
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Ming Chen
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
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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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12
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Rosenau C, Köhler S, Soons LM, Anstey KJ, Brayne C, Brodaty H, Engedal K, Farina FR, Ganguli M, Livingston G, Lyketsos CG, Mangialasche F, Middleton LE, Rikkert MGMO, Peters R, Sachdev PS, Scarmeas N, Salbæk G, van Boxtel MPJ, Deckers K. Umbrella review and Delphi study on modifiable factors for dementia risk reduction. Alzheimers Dement 2024; 20:2223-2239. [PMID: 38159267 PMCID: PMC10984497 DOI: 10.1002/alz.13577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 01/03/2024]
Abstract
A 2013 systematic review and Delphi consensus study identified 12 modifiable risk and protective factors for dementia, which were subsequently merged into the "LIfestyle for BRAin health" (LIBRA) score. We systematically evaluated whether LIBRA requires revision based on new evidence. To identify modifiable risk and protective factors suitable for dementia risk reduction, we combined an umbrella review of systematic reviews and meta-analyses with a two-round Delphi consensus study. The review of 608 unique primary studies and opinions of 18 experts prioritized six modifiable factors: hearing impairment, social contact, sleep, life course inequalities, atrial fibrillation, and psychological stress. Based on expert ranking, hearing impairment, social contact, and sleep were considered the most suitable candidates for inclusion in updated dementia risk scores. As such, the current study shows that dementia risk scores need systematic updates based on emerging evidence. Future studies will validate the updated LIBRA score in different cohorts. HIGHLIGHTS: An umbrella review was combined with opinions of 18 dementia experts. Various candidate targets for dementia risk reduction were identified. Experts prioritized hearing impairment, social contact, and sleep. Re-assessment of dementia risk scores is encouraged. Future work should evaluate the predictive validity of updated risk scores.
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Affiliation(s)
- Colin Rosenau
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Lion M. Soons
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Kaarin J. Anstey
- School of PsychologyUniversity of New South WalesKensingtonNew South WalesAustralia
- Neuroscience Research Australia (NeuRA)SydneyNew South WalesAustralia
- UNSW Ageing Futures InstituteKensingtonNew South WalesAustralia
| | - Carol Brayne
- Cambridge Public HealthUniversity of CambridgeCambridgeUK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Knut Engedal
- Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
| | - Francesca R. Farina
- Feinberg School of MedicineDepartment of Medical Social SciencesNorthwestern UniversityChicagoIllinoisUSA
| | - Mary Ganguli
- Departments of PsychiatryNeurologyand EpidemiologySchool of Medicine and School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Constantine G. Lyketsos
- Richman Family Precision Medicine Center of Excellence in Alzheimer's DiseaseJohns Hopkins BayviewJohns Hopkins MedicineBaltimoreMarylandUSA
| | - Francesca Mangialasche
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Theme Inflammation and AgingMedical Unit AgingKarolinska University HospitalStockholmSweden
| | - Laura E. Middleton
- Department of Kinesiology and Health SciencesUniversity of WaterlooWaterlooOntarioCanada
- Schlegel‐UW Research Institute for AgingWaterlooOntarioCanada
| | - Marcel G. M. Olde Rikkert
- Department of Geriatric MedicineRadboud University Medical CenterNijmegenthe Netherlands
- Radboudumc Alzheimer CenterDonders Center of Medical NeurosciencesNijmegenthe Netherlands
| | - Ruth Peters
- UNSW Ageing Futures InstituteKensingtonNew South WalesAustralia
- The George Institute for Global HealthNewtownNew South WalesAustralia
- School of Biomedical SciencesUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Nikolaos Scarmeas
- 1st Department of NeurologyAiginition HospitalNational and Kapodistrian University of Athens Medical SchoolAthensGreece
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
| | - Geir Salbæk
- Norwegian National Centre for Ageing and HealthVestfold Hospital TrustTønsbergNorway
- Department of Geriatric MedicineOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Martin P. J. van Boxtel
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | - Kay Deckers
- Alzheimer Centrum LimburgDepartment of Psychiatry and NeuropsychologySchool for Mental Health and Neuroscience (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
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13
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Cook JD, Malik A, Plante DT, Norton D, Langhough Koscik R, Du L, Bendlin BB, Kirmess KM, Holubasch MS, Meyer MR, Venkatesh V, West T, Verghese PB, Yarasheski KE, Thomas KV, Carlsson CM, Asthana S, Johnson SC, Gleason CE, Zuelsdorff M. Associations of sleep duration and daytime sleepiness with plasma amyloid beta and cognitive performance in cognitively unimpaired, middle-aged and older African Americans. Sleep 2024; 47:zsad302. [PMID: 38011629 PMCID: PMC10782500 DOI: 10.1093/sleep/zsad302] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 09/01/2023] [Indexed: 11/29/2023] Open
Abstract
STUDY OBJECTIVES Given the established racial disparities in both sleep health and dementia risk for African American populations, we assess cross-sectional and longitudinal associations of self-report sleep duration (SRSD) and daytime sleepiness with plasma amyloid beta (Aβ) and cognition in an African American (AA) cohort. METHODS In a cognitively unimpaired sample drawn from the African Americans Fighting Alzheimer's in Midlife (AA-FAiM) study, data on SRSD, Epworth Sleepiness Scale, demographics, and cognitive performance were analyzed. Aβ40, Aβ42, and the Aβ42/40 ratio were quantified from plasma samples. Cross-sectional analyses explored associations between baseline predictors and outcome measures. Linear mixed-effect regression models estimated associations of SRSD and daytime sleepiness with plasma Aβ and cognitive performance levels and change over time. RESULTS One hundred and forty-seven participants comprised the cross-sectional sample. Baseline age was 63.2 ± 8.51 years. 69.6% self-identified as female. SRSD was 6.4 ± 1.1 hours and 22.4% reported excessive daytime sleepiness. The longitudinal dataset included 57 participants. In fully adjusted models, neither SRSD nor daytime sleepiness is associated with cross-sectional or longitudinal Aβ. Associations with level and trajectory of cognitive test performance varied by measure of sleep health. CONCLUSIONS SRSD was below National Sleep Foundation recommendations and daytime sleepiness was prevalent in this cohort. In the absence of observed associations with plasma Aβ, poorer self-reported sleep health broadly predicted poorer cognitive function but not accelerated decline. Future research is necessary to understand and address modifiable sleep mechanisms as they relate to cognitive aging in AA at disproportionate risk for dementia. CLINICAL TRIAL INFORMATION Not applicable.
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Affiliation(s)
- Jesse D Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - Ammara Malik
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - David T Plante
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Derek Norton
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca Langhough Koscik
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Lianlian Du
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | | | | | | | | | - Tim West
- C2N Diagnostics, St. Louis, MO, USA
| | | | | | - Kevin V Thomas
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sanjay Asthana
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Carey E Gleason
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
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14
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Liu X, Xu P, Wei R, Cheng B, Sun L, Yang L, Chen G. Gender-and age-specific associations of sleep duration and quality with cognitive impairment in community-dwelling older adults in Anhui Province, China. Front Public Health 2024; 11:1047025. [PMID: 38249381 PMCID: PMC10796606 DOI: 10.3389/fpubh.2023.1047025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Objective To examine associations of sleep duration and quality with cognitive impairment in older adults and the moderating role of gender and age in these associations. Methods This community-based cross-sectional study included 4,837 participants aged 60 years and above. Cognitive function was assessed using the Chinese version of the Mini-Mental State Examination (MMSE), and the participants were grouped based on the presence of cognitive impairment. The duration and quality of sleep were assessed using the Pittsburgh Sleep Quality Index (PSQI). Multivariate logistic regression models were used to analyze associations of sleep duration and quality with cognitive impairment. The role of age and gender in these associations have also been explored. Results The age (mean ± SD) of the participants was 71.13 ± 5.50 years. Of all older adults, 1,811 (37.44%) were detected as cognitive impairment, and 1755 (36.8%) had poor sleep quality. Among those with cognitive impairment, 51.09% were female. The proportion of the participants with cognitive impairment is significantly higher in those with symptoms of depression (49.73%, 273/549) (χ2 = 41.275, p < 0.001) than in those without depressive symptoms. After adjustment for multiple confounding factors and the crucial covariate (depressive symptoms), the odds ratios (OR) (95% confidence interval [CI]) of cognitive impairment (with 7-7.9 h regarded as the reference group) for individuals with a sleep duration of <6, 6-6.9, 8-8.9, and ≥ 9 h were 1.280 (1.053-1.557), 1.425 (1.175-1.728), 1.294 (1.068-1.566), and 1.360 (1.109-1.668), respectively. Subgroup analysis showed a V-shaped association between night sleep duration and cognitive impairment in males (p ≤ 0.05), and the association was stronger for individuals aged 60-80 years. With regard to sleep quality, the fully adjusted OR (95%CI) of cognitive impairment were 1.263 (1.108-1.440). According to scores of subscales in the PSQI, daytime dysfunction was associated with an increased risk of cognitive impairment (OR: 1.128, 95%CI: 1.055-1.207). Subgroup analysis also revealed a statistically significant correlation between poor sleep quality (including daytime dysfunction) and cognitive impairment in different gender and age groups, with the association being stronger in females (OR: 1.287, 95%CI: 1.080-1.534) and those aged 81-97 years (OR: 2.128, 95%CI: 1.152-3.934). For cognitive impairment, the group aged 81-97 years with daytime dysfunction was associated with a higher odds ratio than other age groups. Conclusion The present study showed that inadequate or excessive sleep was associated with cognitive impairment, especially in males, who exhibited a V-shaped association. Cognitive impairment was also associated with poor sleep quality as well as daytime dysfunction, with females and individuals aged 81-97 years exhibiting the strongest association.
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Affiliation(s)
- Xuechun Liu
- Department of Neurology, The Second People’s Hospital of Hefei, Hefei, China
| | - Peiru Xu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Rong Wei
- Outpatient Department of the Second Hospital of Anhui Medical University, Hefei, China
| | - Beijing Cheng
- School of Public Health, Anhui Medical University, Hefei, China
| | - Liang Sun
- Fuyang Center of Disease Control and Prevention, Fuyang, China
| | - Linsheng Yang
- School of Public Health, Anhui Medical University, Hefei, China
| | - Guihai Chen
- Department of Neurology (Sleep Disorders), The Affiliated Chaohu Hospital of Anhui Medical University, Hefei, China
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15
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Fjell AM, Sørensen Ø, Wang Y, Amlien IK, Baaré WFC, Bartrés-Faz D, Bertram L, Boraxbekk CJ, Brandmaier AM, Demuth I, Drevon CA, Ebmeier KP, Ghisletta P, Kievit R, Kühn S, Madsen KS, Mowinckel AM, Nyberg L, Sexton CE, Solé-Padullés C, Vidal-Piñeiro D, Wagner G, Watne LO, Walhovd KB. No phenotypic or genotypic evidence for a link between sleep duration and brain atrophy. Nat Hum Behav 2023; 7:2008-2022. [PMID: 37798367 PMCID: PMC10663160 DOI: 10.1038/s41562-023-01707-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/31/2023] [Indexed: 10/07/2023]
Abstract
Short sleep is held to cause poorer brain health, but is short sleep associated with higher rates of brain structural decline? Analysing 8,153 longitudinal MRIs from 3,893 healthy adults, we found no evidence for an association between sleep duration and brain atrophy. In contrast, cross-sectional analyses (51,295 observations) showed inverse U-shaped relationships, where a duration of 6.5 (95% confidence interval, (5.7, 7.3)) hours was associated with the thickest cortex and largest volumes relative to intracranial volume. This fits converging evidence from research on mortality, health and cognition that points to roughly seven hours being associated with good health. Genome-wide association analyses suggested that genes associated with longer sleep for below-average sleepers were linked to shorter sleep for above-average sleepers. Mendelian randomization did not yield evidence for causal impacts of sleep on brain structure. The combined results challenge the notion that habitual short sleep causes brain atrophy, suggesting that normal brains promote adequate sleep duration-which is shorter than current recommendations.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pii Sunyer, Barcelona, Spain
| | - Lars Bertram
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
- Institute of Sports Medicine Copenhagen, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging Working Group, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- UniDistance Suisse, Brig, Switzerland
- Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva, Switzerland
| | - Rogier Kievit
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, Oxford, UK
- Global Brain Health Institute, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
- Alzheimer's Association, Chicago, IL, USA
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pii Sunyer, Barcelona, Spain
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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16
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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: 4] [Impact Index Per Article: 4.0] [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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17
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Sen A, Tai XY. Sleep Duration and Executive Function in Adults. Curr Neurol Neurosci Rep 2023; 23:801-813. [PMID: 37957525 PMCID: PMC10673787 DOI: 10.1007/s11910-023-01309-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE OF REVIEW To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the important question of how much sleep is required for optimal cognitive performance. We consider how other sleep metrics, such as sleep quality, may be a more meaningful measure of sleep. We then discuss the putative mechanisms between sleep and cognition followed by their contribution to developing dementia. RECENT FINDINGS Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentation are linked with poorer executive function and increased risk of dementia during follow-up. Sleep quality may therefore be more important than absolute duration. Biological mechanisms which may underpin the relationship between sleep and cognition include brain structural and functional changes as well as disruption of the glymphatic system. Sleep is an important modifiable lifestyle factor to improve daily cognition and, possibly, reduce the risk of developing dementia. The impact of optimal sleep duration and sleep quality may have important implications for every ageing individual.
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Affiliation(s)
- Aayushi Sen
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK.
| | - Xin You Tai
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK
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18
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Kinoshita K, Otsuka R, Takada M, Nishita Y, Tange C, Jinzu H, Suzuki K, Shimokata H, Imaizumi A, Arai H. Dietary amino acid intake and sleep duration are additively involved in future cognitive decline in Japanese adults aged 60 years or over: a community-based longitudinal study. BMC Geriatr 2023; 23:653. [PMID: 37821805 PMCID: PMC10568860 DOI: 10.1186/s12877-023-04359-2] [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: 05/29/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Sleep duration and amino acid intake are independently associated with cognitive decline. This study aimed to determine the longitudinal association between sleep duration and cognitive impairment incidence and to examine the involvement of diet, particularly amino acid intake, in these associations in community dwellers. METHODS In this longitudinal study in a community-based setting, we analyzed data from 623 adults aged 60-83 years without cognitive impairment at baseline. Sleep duration was assessed using a self-report questionnaire. Amino acid intake was assessed using 3-day dietary records. Cognitive impairment was defined as a Mini-Mental State Examination score ≤ 27. Participants were classified into short-, moderate-, and long-sleep groups according to baseline sleep duration (≤ 6, 7-8, and > 8 h, respectively). Using moderate sleep as a reference, odds ratios (ORs) and 95% confidence intervals (CIs) of short- and long-sleep for cognitive-impairment incidence were estimated using the generalized estimating equation. Participants were classified according to sex-stratified quartiles (Q) of 19 amino acid intake: Q1 and Q2-Q4 were low- and middle to high-intake groups, respectively. Using middle- to high-intake as a reference, ORs and 95% CIs of low intake for cognitive impairment incidence were estimated using the generalized estimating equation in each sleep-duration group. Follow-up period, sex, age, body mass index, depressive symptoms, education, smoking status, employment status, sleep aids use, physical activity, medical history, and Mini-Mental State Examination score at baseline were covariates. RESULTS Mean follow-up period was 6.9 ± 2.1 years. Adjusted ORs (95% CIs) for cognitive impairment in short- and long-sleep groups were 0.81 (0.49-1.35, P = 0.423) and 1.41 (1.05-1.87, P = 0.020), respectively. Particularly in long sleepers (i.e., > 8 h), cognitive impairment was significantly associated with low cystine, proline, and serine intake [adjusted ORs (95% CIs) for cognitive impairment were 2.17 (1.15-4.11, P = 0.017), 1.86 (1.07-3.23, P = 0.027), and 2.21 (1.14-4.29, P = 0.019), respectively]. CONCLUSIONS Community-dwelling adults aged ≥ 60 years who sleep longer are more likely to have cognitive decline, and attention should be paid to the low cystine, proline, and serine intake.
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Affiliation(s)
- Kaori Kinoshita
- Department of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan.
| | - Rei Otsuka
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Michihiro Takada
- Research Institute for Bioscience Products & Fine Chemicals, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Yukiko Nishita
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Chikako Tange
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Hiroko Jinzu
- Institute of Food Sciences and Technologies, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Katsuya Suzuki
- Institute of Food Sciences and Technologies, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Hiroshi Shimokata
- Department of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan
- Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan
| | - Akira Imaizumi
- Research Institute for Bioscience Products & Fine Chemicals, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Aichi, Japan
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19
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Kumar M, Orkaby A, Tighe C, Villareal DT, Billingsley H, Nanna MG, Kwak MJ, Rohant N, Patel S, Goyal P, Hummel S, Al-Malouf C, Kolimas A, Krishnaswami A, Rich MW, Kirkpatrick J, Damluji AA, Kuchel GA, Forman DE, Alexander KP. Life's Essential 8: Optimizing Health in Older Adults. JACC. ADVANCES 2023; 2:100560. [PMID: 37664644 PMCID: PMC10470487 DOI: 10.1016/j.jacadv.2023.100560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/26/2023] [Accepted: 07/07/2023] [Indexed: 09/05/2023]
Abstract
The population worldwide is getting older as a result of advances in public health, medicine, and technology. Older individuals are living longer with a higher prevalence of subclinical and clinical cardiovascular disease (CVD). In 2010, the American Heart Association introduced a list of key prevention targets, known as "Life's Simple 7" to increase CVD-free survival, longevity, and quality of life. In 2022, sleep health was added to expand the recommendations to "Life's Essential 8" (eat better, be more active, stop smoking, get adequate sleep, manage weight, manage cholesterol, manage blood pressure, and manage diabetes). These prevention targets are intended to apply regardless of chronologic age. During this same time, the understanding of aging biology and goals of care for older adults further enhanced the relevance of prevention across the range of functions. From a biological perspective, aging is a complex cellular process characterized by genomic instability, telomere attrition, loss of proteostasis, inflammation, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. These aging hallmarks are triggered by and enhanced by traditional CVD risk factors leading to geriatric syndromes (eg, frailty, sarcopenia, functional limitation, and cognitive impairment) which complicate efforts toward prevention. Therefore, we review Life's Essential 8 through the lens of aging biology, geroscience, and geriatric precepts to guide clinicians taking care of older adults.
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Affiliation(s)
- Manish Kumar
- Pat and Jim Calhoun Cardiology Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Ariela Orkaby
- New England GRECC (Geriatric Research Education and Clinical Center), VA Boston HealthCare System, Boston, Massachusetts, USA
- Division of Aging, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Caitlan Tighe
- VISN 4 Mental Illness Research, Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Dennis T. Villareal
- Division of Endocrinology, Diabetes, and Metabolism, Baylor College of Medicine, Houston, Texas, USA
| | - Hayley Billingsley
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Michael G. Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Min Ji Kwak
- Division of Geriatric and Palliative Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, Texas, USA
| | - Namit Rohant
- Department of Cardiology, University of Arizona, Tucson, Arizona, USA
| | - Shreya Patel
- Department of Pharmacy Practice, School of Pharmacy and Health Sciences, Fairleigh Dickinson University, Florham Park, New Jersey, USA
| | - Parag Goyal
- Program for the Care and Study of Aging Heart, Department of Medicine, Weill Cornell of Medicine, New York, New York, USA
| | - Scott Hummel
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Christina Al-Malouf
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amie Kolimas
- Department of Internal Medicine, University of Arizona, Tucson, Arizona, USA
| | | | - Michael W. Rich
- Department of Medicine, Washington University, St Louise, Missouri, USA
| | - James Kirkpatrick
- Department of Cardiology, University of Washington, Seattle, Washington, USA
| | - Abdulla A. Damluji
- The Inova Center of Outcomes Research, Inova Heart and Vascular Institute, Falls Church, Virginia, USA
| | - George A. Kuchel
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Daniel E. Forman
- Divisions of Cardiology and Geriatrics, Department of Medicine, University of Pittsburgh, Pittsburgh GRECC, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Karen P. Alexander
- Division of Cardiology, Duke Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
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20
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Pan XB, Wang HX, Cao YJ, Liu YY. Secular Trends in Sleep Conditions in Chinese Elderly Individuals: A National Population-Based Study. Nat Sci Sleep 2023; 15:555-566. [PMID: 37441269 PMCID: PMC10335309 DOI: 10.2147/nss.s416084] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Purpose As one of the most rapidly aging countries in the world, the elderly population is expected to reach over 400 million in China by 2032. Many studies have suggested a positive association between sleep duration and adverse health events among elderly individuals. This study aimed to investigate the sleep conditions of Chinese elderly individuals between 2005 and 2018. Patients and methods Data for 53,013 elderly individuals were taken from five cycles of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) during 2005-2018. Sex- and age-specific means and 95% confidence intervals (95% CIs) were used to estimate sleep duration trends. Changes in sleep patterns were explored during this period. The prevalence of short and long sleep durations was assessed and age-standardized by the 2010 census. Finally, self-reported sleep quality was used to determine sleep conditions from another perspective among elderly individuals. Results The mean sleep duration decreased from 7.87 (95% CI: 7.83-7.91) to 7.29 (95% CI: 7.25-7.33) hours between 2005 and 2018. Changes in sleep duration patterns were found during the study period. The proportion of the elderly population who slept ≤6 hours increased and that of those who slept ≥9 hours decreased noticeably over the past 13 years. The age-standardized prevalence of short sleep duration increased from 32.7% (95% CI: 32.7-32.9%) to 38.4% (95% CI: 38.3-38.5%). A significant decrease was observed in the prevalence of long sleep duration. Conclusion Sleep conditions are gradually shifting toward a shorter sleep duration and poorer sleep quality among Chinese elderly individuals.
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Affiliation(s)
- Xing-Bing Pan
- Performance Appraisal Office, Children’s Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Hong-Xia Wang
- Department of Obstetrics and Gynecology, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Ya-Jing Cao
- Institutes for Non-Communicable Chronic Diseases Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, People’s Republic of China
| | - Yan-Yu Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
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21
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Kong J, Zhou L, Li X, Ren Q. Sleep disorders affect cognitive function in adults: an overview of systematic reviews and meta-analyses. Sleep Biol Rhythms 2023; 21:133-142. [PMID: 38469285 PMCID: PMC10900040 DOI: 10.1007/s41105-022-00439-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 12/12/2022] [Indexed: 01/13/2023]
Abstract
Sleep disorders frequently result in poor memory, attention deficits, as well as a worse prognosis for neurodegenerative changes, such as Alzheimer's disease. The purpose of this study is to investigate the impact of sleep disorders on cognition. We screened four databases for all meta-analyses and systematic reviews from the establishment through March 2022. We have carried out quality evaluation and review the eligible systematic reviews. Evidence grading and quality assessment were performed on 22 eligible articles. Sleep deprivation primarily affects simple attention, complex attention, and working memory in cognition and alertness. The moderate-to-high-quality evidence proves optimal sleep time as 7-8 h. Sleep time outside this range increases the risk of impaired executive function, non-verbal memory, and working memory. Sleep-related breathing disorders is more likely to cause mild cognitive impairment and affects several cognitive domains. In older adults, insomnia primarily affects working memory, episodic memory, inhibitory control, cognitive flexibility, problem-solving, operational ability, perceptual function, alertness, and complex attention, and maintaining sensitivity. Sleep disturbances significantly impair cognitive function, and early detection and intervention may be critical steps in reducing poor prognosis. A simple neuropsychological memory test could be used to screen people with sleep disorders for cognitive impairment. Supplementary Information The online version contains supplementary material available at 10.1007/s41105-022-00439-9.
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Affiliation(s)
- Jingting Kong
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
| | - Lv Zhou
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
| | - Xiaoli Li
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 China
| | - Qingguo Ren
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 China
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22
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Costa AN, Curtis AF, Musich M, Guandique AA, McCrae CS. Self-reported cognition in older adults with insomnia: Associations with sleep and domain specific cognition. J Sleep Res 2023; 32:e13751. [PMID: 36217906 DOI: 10.1111/jsr.13751] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 08/01/2022] [Accepted: 09/21/2022] [Indexed: 02/03/2023]
Abstract
Poor subjective evaluation of cognition and sleep are associated with cognitive decline in older adults. Relationships among self-reported cognition, sleep, and cognitive domains remain unclear. We evaluated the interactive associations of objective cognition and subjective sleep with self-reported cognition in older adults with insomnia. Fifty-one older adults (Mage = 69.19, SD = 7.95) with insomnia completed 14 days of self-reported cognition ratings (0-very poor, 100-very good), sleep (total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency), and daily cognitive tasks: Letter series (reasoning), word list delayed recall (verbal memory), Symbol Digit Modalities Test (SDMT) (attention/processing speed), and number copy (processing speed). Multiple regressions for each cognitive task determined whether average objective cognition or sleep were independently/interactively associated with average self-reported cognition, controlling for age, education, and depression. The interaction between SDMT performance and TST was associated with self-reported cognition. Specifically, the relationship between scores and self-reported cognition was congruent in those with the shortest TST. Similarly, the interactions between SDMT and WASO, as well as sleep efficiency, were associated with self-reported. Specifically, the relationship between scores and self-reported cognition was congruent in those with longest and average WASO, as well as shortest and average sleep efficiency. The findings suggest, in an older adult population with insomnia, a congruent association exists between attention/processing speed and self-reported cognition in those with worse subjective sleep (shorter TST, longer WASO, and lower SE). Insomnia symptoms should be taken into consideration when examining the relationship between objective cognition and self-reported cognition.
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Affiliation(s)
- Amy N Costa
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri, USA
| | - Ashley F Curtis
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri, USA.,Department of Psychiatry, University of Missouri-Columbia, Columbia, Missouri, USA
| | - Madison Musich
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri, USA
| | - Alan A Guandique
- Department of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri, USA
| | - Christina S McCrae
- Department of Psychiatry, University of Missouri-Columbia, Columbia, Missouri, USA
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23
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Gallagher VT, Reilly SE, Williams IC, Mattos M, Manning C. Patterns of sleep disturbances across stages of cognitive decline. Int J Geriatr Psychiatry 2023; 38:e5865. [PMID: 36578203 PMCID: PMC10107468 DOI: 10.1002/gps.5865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate insomnia symptoms and excessive sleep/sluggishness across stages of cognitive decline (cognitively normal [CN], Cognitively Impairment, Not Demented [CIND], dementia) in a large, racially/ethnically diverse sample of older adults (70+) in the US. We also examined whether sleep disturbances at baseline predicted conversion to CIND or dementia at follow-up. METHODS In this secondary analysis of the Aging, Demographics, and Memory Study (ADAMS) supplement of the Health Retirement Study, we analyzed patterns of informant-reported insomnia and excessive sleep symptoms among three groups of older adults (n = 846): CN, CIND, and dementia. RESULTS CIND adults were significantly more likely to have informant-reported insomnia symptoms than those in the CN group (p = 0.013). This was driven by a significant race/ethnicity-by-insomnia interaction with diagnostic status (p = 0.029), such that CIND Black and Hispanic older adults had increased insomnia symptom rates compared to CN, whereas White adults had similar insomnia symptoms across diagnostic status. Across all racial/ethnic groups, the prevalence of excessive sleep symptoms increased stepwise from CN to CIND to dementia (p < 0.001). Overall, insomnia symptoms at baseline predicted conversion from CN to CIND (p < 0.001, OR = 0.288; 95% CI: 0.143-0.580) at 4-year (approximate) follow-up; there was no relationship between baseline insomnia or excessive sleep/sluggishness symptoms and conversion from CIND to dementia. DISCUSSION/CONCLUSION This study provides evidence for the increased risk of insomnia symptoms among Hispanic and Black older adults with CIND, and indicates that insomnia symptoms may be associated with increased risk for development of cognitive impairment.
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Affiliation(s)
| | - Shannon E. Reilly
- Department of NeurologyUniversity of Virginia HealthCharlottesvilleVirginiaUSA
| | | | - Meghan Mattos
- School of NursingUniversity of VirginiaCharlottesvilleVirginiaUSA
| | - Carol Manning
- Department of NeurologyUniversity of Virginia HealthCharlottesvilleVirginiaUSA
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24
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Li C, Min X, Cheng G, Yan Y, Li Z. Bidirectional relationship between nocturnal subjective sleep duration and cognitive performance in Chinese over 45 years old: a national representative longitudinal study. BMC Geriatr 2022; 22:823. [PMID: 36289469 PMCID: PMC9608904 DOI: 10.1186/s12877-022-03468-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 09/13/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Previous studies have inconsistent associations between changes in sleep duration and cognitive function and have not separated interindividual effects from intraindividual effects. This study aimed to examine the bidirectional associations between subjective night sleep duration and cognitive function while differing intraindividual and interindividual effects. Methods A national representative sample was obtained from China Health and Retirement Longitudinal Study during 2011–2018. Night sleep duration and potential confounders were assessed and collected by questionnaires. Cognition was assessed in three categories (orientation, executive function, and memory), and z scores were used for global cognitive performance. The random intercept cross-lagged panel model was used to examine the temporal associations during 2011–2018. Results Across 9404 participants over 45, at interindividual level, moderate (β= -0.014) and long sleepers (β= -0.06) had positive association between sleep duration and cognitive decline after adjusted covariates, but short sleepers had negative associations between sleep duration and cognitive decline (β = 0.87). At intraindividual level, prolonged sleep duration predicted better cognition for short (β= -0.021 at wave2-3; β= -0.04 at wave3-4) and moderate (β= -0.017 at wave3-4) sleepers. Conclusion For short sleepers, longer subjective nocturnal sleep duration predicted better cognitive performance; but moderate and long sleepers showed opposite results—short and moderate sleepers with prolonged subjective nocturnal sleep duration would have later cognitive decline. Our findings tentatively suggested that an increased subjective night sleep duration and subjective long sleep duration could be regarded as useful tools for identifying middle- and old adults at higher risks of progressing to cognitive decline. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03468-8.
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Affiliation(s)
- Chao Li
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China ,grid.452708.c0000 0004 1803 0208Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, 410011 Changsha, Hunan China ,grid.216417.70000 0001 0379 7164Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, 410000 Changsha, Hunan China
| | - Xianying Min
- grid.216417.70000 0001 0379 7164Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, 410000 Changsha, Hunan China
| | - Gang Cheng
- grid.216417.70000 0001 0379 7164Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, 410000 Changsha, Hunan China
| | - Yan Yan
- grid.216417.70000 0001 0379 7164Department of Epidemiology and Medical Statistics, Xiangya School of Public Health, Central South University, 410000 Changsha, Hunan China
| | - Zexuan Li
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011 Changsha, Hunan China ,grid.452708.c0000 0004 1803 0208Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Medical Center for Mental Health, 410011 Changsha, Hunan China
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25
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Niotis K, Akiyoshi K, Carlton C, Isaacson R. Dementia Prevention in Clinical Practice. Semin Neurol 2022; 42:525-548. [PMID: 36442814 DOI: 10.1055/s-0042-1759580] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Over 55 million people globally are living with dementia and, by 2050, this number is projected to increase to 131 million. This poses immeasurable challenges for patients and their families and a significant threat to domestic and global economies. Given this public health crisis and disappointing results from disease-modifying trials, there has been a recent shift in focus toward primary and secondary prevention strategies. Approximately 40% of Alzheimer's disease (AD) cases, which is the most common form of dementia, may be prevented or at least delayed. Success of risk reduction studies through addressing modifiable risk factors, in addition to the failure of most drug trials, lends support for personalized multidomain interventions rather than a "one-size-fits-all" approach. Evolving evidence supports early intervention in at-risk patients using individualized interventions directed at modifiable risk factors. Comprehensive risk stratification can be informed by emerging principals of precision medicine, and include expanded clinical and family history, anthropometric measurements, blood biomarkers, neurocognitive evaluation, and genetic information. Risk stratification is key in differentiating subtypes of dementia and identifies targetable areas for intervention. This article reviews a clinical approach toward dementia risk stratification and evidence-based prevention strategies, with a primary focus on AD.
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Affiliation(s)
- Kellyann Niotis
- Department of Neurology, Weill Cornell Medicine and New York - Presbyterian, New York, New York
| | - Kiarra Akiyoshi
- Department of Neurology, Weill Cornell Medicine and New York - Presbyterian, New York, New York
| | - Caroline Carlton
- Department of Neurology, Weill Cornell Medicine and New York - Presbyterian, New York, New York
| | - Richard Isaacson
- Department of Neurology, Weill Cornell Medicine and New York - Presbyterian, New York, New York.,Department of Neurology, Florida Atlantic University, Charles E. Schmidt College of Medicine, Boca Raton, Florida
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26
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Huang SY, Li YZ, Zhang YR, Huang YY, Wu BS, Zhang W, Deng YT, Chen SD, He XY, Chen SF, Dong Q, Zhang C, Chen RJ, Suckling J, Rolls ET, Feng JF, Cheng W, Yu JT. Sleep, physical activity, sedentary behavior, and risk of incident dementia: a prospective cohort study of 431,924 UK Biobank participants. Mol Psychiatry 2022; 27:4343-4354. [PMID: 35701596 DOI: 10.1038/s41380-022-01655-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/17/2022] [Accepted: 05/31/2022] [Indexed: 02/07/2023]
Abstract
Although sleep, physical activity and sedentary behavior have been found to be associated with dementia risk, findings are inconsistent and their joint relationship remains unclear. This study aimed to investigate independent and joint associations of these three modifiable behaviors with dementia risks. A total of 431,924 participants (median follow-up 9.0 years) without dementia from UK Biobank were included. Multiple Cox regressions were used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association. Sleep duration, leisure-time physical activity (LTPA), and screen-based sedentary behavior individually associated with dementia risks in different non-linear patterns. Sleep duration associated with dementia in a U-shape with a nadir at 7 h/day. LTPA revealed a curvilinear relationship with dementia in diminishing tendency, while sedentary behavior revealed a J-shaped relationship. The dementia risk was 17% lower in the high LTPA group (HR[95%CI]: 0.83[0.76-0.91]) and 22% higher in the high sedentary behavior group (1.22[1.10-1.35]) compared to the corresponding low-level group, respectively. A combination of seven-hour/day sleep, moderate-to-high LTPA, and low-to-moderate sedentary behavior showed the lowest dementia risk (0.59[0.50-0.69]) compared to the referent group (longer or shorter sleep/low LTPA/high sedentary behavior). Notably, each behavior was non-linearly associated with brain structures in a pattern similar to its association with dementia, suggesting they may affect dementia risk by affecting brain structures. Our findings highlight the potential to change these three daily behaviors individually and simultaneously to reduce the risk of dementia.
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Affiliation(s)
- Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Zhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Yuan Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Yue-Ting Deng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Fen Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Can Zhang
- Genetics and Aging Research Unit, McCance Center for Brain Health, Mass General Institute for Neurodegenerative Diseases (MIND), Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Ren-Jie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Edmund T Rolls
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Oxford Centre for Computational Neuroscience, Oxford, UK
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China.
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
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Tighe CA, Buysse DJ, Weiner DK, Beehler GP, Forman DE. Prevalence, Impact, and Trajectories of Sleep Disturbance in Cardiac Rehabilitation: A NARRATIVE REVIEW AND SUGGESTIONS FOR EVALUATION AND TREATMENT. J Cardiopulm Rehabil Prev 2022; 42:316-323. [PMID: 35522949 PMCID: PMC9437109 DOI: 10.1097/hcr.0000000000000694] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The aim of this review was to summarize literature examining the prevalence, impact, and trajectories of sleep disturbance in cardiac rehabilitation (CR) patients and discuss how CR programs may incorporate targeted evaluation and interventions to promote sleep health. REVIEW METHODS A narrative review of literature allowed for an examination of the prevalence of sleep disturbance in CR patients, the effects of sleep disturbance on CR outcomes, and trajectories of sleep disturbance in CR. SUMMARY Sleep disturbance is prevalent in CR patient populations and is related to clinical and functional outcomes. Sleep may be an important biobehavioral process to target in CR to improve important patient outcomes and achieve secondary prevention goals.
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Affiliation(s)
- Caitlan A. Tighe
- VISN 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh Healthcare System
| | - Daniel J. Buysse
- Department of Psychiatry, University of Pittsburgh School of Medicine
| | - Debra K. Weiner
- Department of Psychiatry, University of Pittsburgh School of Medicine
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System
- Department of Medicine, University of Pittsburgh School of Medicine
- Department of Anesthesiology, University of Pittsburgh School of Medicine
- Clinical and Translational Science Institute, University of Pittsburgh School of Medicine
| | - Gregory P. Beehler
- VA Center for Integrated Healthcare
- Community Health and Health Behavior, School of Public Health and Health Professions, University of Buffalo
| | - Daniel E. Forman
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System
- Department of Medicine, University of Pittsburgh School of Medicine
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28
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Yuan S, Ma W, Yang R, Xu F, Han D, Huang T, Peng MI, Xu A, Lyu J. Sleep duration, genetic susceptibility, and Alzheimer's disease: a longitudinal UK Biobank-based study. BMC Geriatr 2022; 22:638. [PMID: 35918656 PMCID: PMC9344659 DOI: 10.1186/s12877-022-03298-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 07/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is the most frequently occurring type of dementia. Concurrently, inadequate sleep has been recognized as a public health epidemic. Notably, genetic and environmental factors are now considered contributors to AD progression. OBJECTIVE To assess the association between sleep duration, genetic susceptibility, and AD. METHODS AND RESULTS Based on 483,507 participants from the UK Biobank (UKB) with an average follow-up of 11.3 years, there was a non-linear relationship between AD incidence and sleep duration (P for non-linear < 0.001) by restricted cubic splines (RCS). Sleep duration was categorized into short sleep duration (< 6 h/night), normal sleep duration (6-9 h/night), and long sleep duration (> 9 h/night). No statistically significant interaction was identified between sleep duration and the AD-GRS (Alzheimer's disease genetic risk score, P for interaction = 0.45) using Cox proportional risk model. Compared with the participants who had a low AD-GRS and normal sleep duration, there was associated with a higher risk of AD in participants with a low AD-GRS and long sleep duration (HR = 3.4806; 95% CI 2.0011-6.054, p < 0.001), participants with an intermediate AD-GRS and long sleep duration (HR = 2.0485; 95% CI 1.3491-3.1105, p < 0.001), participants with a high AD-GRS and normal sleep duration (HR = 1.9272; 95% CI 1.5361-2.4176, p < 0.001), and participants with a high AD-GRS and long sleep duration (HR = 5.4548; 95% CI 3.1367-9.4863, p < 0.001).In addition, there was no causal association between AD and sleep duration using Two Sample Mendelian randomization (MR). CONCLUSION In the UKB population, though there was no causal association between AD and sleep duration analyzed using Two Sample MR, long sleep duration (> 9 h/night) was significantly associated with a higher risk of AD, regardless of high, intermediate or low AD-GRS. Prolonged sleep duration may be one of the clinical predictors of a higher risk of AD.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Wen Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Rui Yang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Fengshuo Xu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Didi Han
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Tao Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - MIn Peng
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China.
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29
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Gao C, Guo J, Gong TT, Lv JL, Li XY, Liu FH, Zhang M, Shan YT, Zhao YH, Wu QJ. Sleep Duration/Quality With Health Outcomes: An Umbrella Review of Meta-Analyses of Prospective Studies. Front Med (Lausanne) 2022; 8:813943. [PMID: 35127769 PMCID: PMC8811149 DOI: 10.3389/fmed.2021.813943] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/27/2021] [Indexed: 12/14/2022] Open
Abstract
Background To quantitatively evaluate the evidence of duration and quality of sleep as measured by multiple health outcomes. Methods This review is registered with PROSPERO, number CRD42021235587. We systematically searched three databases from inception until November 15, 2020. For each meta-analysis, the summary effect size using fixed and random effects models, the 95% confidence interval, and the 95% prediction interval were assessed; heterogeneity, evidence of small-study effects, and excess significance bias were also estimated. According to the above metrics, we evaluated the credibility of each association. Results A total of 85 meta-analyses with 36 health outcomes were included in the study. We observed highly suggestive evidence for an association between long sleep and an increased risk of all-cause mortality. Moreover, suggestive evidence supported the associations between long sleep and 5 increased risk of health outcomes (stroke, dyslipidaemia, mortality of coronary heart disease, stroke mortality, and the development or death of stroke); short sleep and increased risk of overweight and/or obesity; poor sleep quality and increased risk of diabetes mellitus and gestational diabetes mellitus. Conclusions Only the evidence of the association of long sleep with an increased risk of all-cause mortality was graded as highly suggestive. Additional studies are needed to be conducted. Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021235587
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Affiliation(s)
- Chang Gao
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jiao Guo
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Ting-Ting Gong
| | - Jia-Le Lv
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xin-Yu Li
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Meng Zhang
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Tong Shan
- Department of Statistics, University of Washington, Seattle, WA, United States
| | - Yu-Hong Zhao
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Qi-Jun Wu
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30
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Liu R, Tang S, Wang Y, Dong Y, Hou T, Ren Y, Cong L, Liu K, Qin Y, Sindi S, Du Y, Qiu C. Self-reported sleep characteristics associated with dementia among rural-dwelling Chinese older adults: a population-based study. BMC Neurol 2022; 22:5. [PMID: 34979998 PMCID: PMC8722012 DOI: 10.1186/s12883-021-02521-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 12/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sleep characteristics associated with dementia are poorly defined and whether their associations vary by demographics and APOE genotype among older adults are unclear. METHODS This population-based cross-sectional study included 4742 participants (age ≥ 65 years, 57.1% women) living in rural China. Sleep parameters were measured using the self-rated questionnaires of the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale. Global cognitive function was assessed with the Mini-Mental State Examination (MMSE). Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria, and the National Institute on Aging-Alzheimer's Association criteria for Alzheimer's disease (AD). Data were analysed using multiple logistic and general linear regression models. RESULTS Dementia was diagnosed in 173 participants (115 with AD). Multivariable-adjusted odds ratio (OR) of dementia was 1.71 (95%CI, 1.07-2.72) for sleep duration ≤4 h/night (vs. > 6-8 h/night), 0.76 (0.49-1.18) for > 4-6 h/night, 1.63 (1.05-2.55) for > 8 h/night, 1.11 (1.03-1.20) for lower sleep efficiency (per 10% decrease), and 1.85 (1.19-2.89) for excessive daytime sleepiness. Very short sleep duration (≤4 h/night), lower sleep efficiency, and excessive daytime sleepiness were significantly associated with being diagnosed with AD (multivariable-adjusted OR range = 1.12-2.07; p < 0.05). The associations of sleep problems with dementia and AD were evident mainly among young-old adults (65-74 years) or APOE ε4 carriers. Among dementia-free participants, these sleep characteristics were significantly associated with a lower MMSE score. CONCLUSIONS Self-reported sleep problems in dementia are characterized by very short or long sleep duration, low sleep efficiency, and excessive daytime sleepiness, especially among young-old people and APOE ε4 carriers. TRIAL REGISTRATION ChiCTR1800017758 (Aug 13, 2018).
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Affiliation(s)
- Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People's Republic of China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People's Republic of China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People's Republic of China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People's Republic of China
| | - Keke Liu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.,Shandong Academy of Clinical Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Yu Qin
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Shireen Sindi
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China. .,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China. .,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People's Republic of China.
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, 250021, Jinan, Shandong, People's Republic of China. .,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China. .,Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
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31
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Sun L, Li K, Zhang L, Zhang Y. Associations Between Self-Reported Sleep Disturbances and Cognitive Impairment: A Population-Based Cross-Sectional Study. Nat Sci Sleep 2022; 14:207-216. [PMID: 35210888 PMCID: PMC8857964 DOI: 10.2147/nss.s347658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 02/03/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Cognitive impairment is a rapidly growing global public health problem in China and worldwide. In the recent decades, emerging studies have explored the associations between sleep disturbances and cognitive impairment. However, the variety of the results imply us that further studies should be conducted for the associations. METHODS This is a cross-sectional study conducted between August and October 2018 in five cities in Hebei province, China. Subjects were 21,376 community residents. Cognitive impairment was screened by the Chinese version of the Mini-Mental State Examination (MMSE). Scales of Athens Insomnia Scale (AIS), Berlin Questionnaire (BQ), REM (rapid eye movement) Sleep Behavior Disorder Questionnaire (RBDQ-HK), Ullanlinna Narcolepsy Scale (CUNS), and Cambridge-Hopkins Restless Legs Syndrome Questionnaire (CH-RLSq) were used to access insomnia, sleep apnea, REM sleep behavior disorder, narcolepsy, and restless leg syndrome. RESULTS The mean ± SD (standard error) of MMSE, AIS, RBDQ-HK, and CUNS were 27.95 ± 4.79, 2.16 ± 3.39, 5.55 ± 7.75, and 3.76 ± 2.31, respectively. Among the participants, 10.6% and 1.5% of the participants were identified as having a high risk of sleep apnea and restless leg syndrome, respectively. The results of multiple linear regression showed that cognitive impairment was associated with insomnia (β = -0.037, p < 0.001) and narcolepsy (β = -0.023, p < 0.001). The association between sleep apnea (β = -0.002, p > 0.05), REM sleep behavior disorder (β = 0.006, p > 0.05), restless leg syndrome (β = -0.007, p > 0.05), and cognitive impairment were not supported. Other factors associated with cognitive impairment were gender, age, education level, married status, and region. CONCLUSION This study provides some epidemiological evidence for the association between sleep disturbances and cognitive impairment among community residents in central China. In this study, the associations between insomnia, narcolepsy, and cognitive impairment were identified, but the associations between sleep apnea, REM sleep behavior disorder, narcolepsy, restless leg syndrome, and cognitive impairment were not supported among community residents.
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Affiliation(s)
- Long Sun
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.,National Health Commission of China Key Laboratory for Health Economics and Policy Research (Shandong University), Jinan, Shandong, People's Republic of China
| | - Keqing Li
- Department of Sleep Medicine, Hebei Provincial Mental Health Center, Baoding, Hebei, People's Republic of China
| | - Lili Zhang
- Department of Sleep Medicine, Hebei Provincial Mental Health Center, Baoding, Hebei, People's Republic of China
| | - Yunshu Zhang
- Department of Sleep Medicine, Hebei Provincial Mental Health Center, Baoding, Hebei, People's Republic of China
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32
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Atrial Fibrillation and Dementia. Am J Geriatr Psychiatry 2021; 29:1099-1100. [PMID: 33663984 DOI: 10.1016/j.jagp.2021.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 02/09/2021] [Indexed: 11/21/2022]
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33
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Han C, An J, Chan P. The influence of probable rapid eye movement sleep behavior disorder and sleep insufficiency on fall risk in a community-dwelling elderly population. BMC Geriatr 2021; 21:606. [PMID: 34702166 PMCID: PMC8549138 DOI: 10.1186/s12877-021-02513-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/29/2021] [Indexed: 12/01/2022] Open
Abstract
Background The objective was to investigate the individual effect and potential interactions of probable rapid eye movement sleep behavior disorder (pRBD) and sleep insufficiency on fall risk among a Chinese elderly population. Methods Community-dwelling population aged 55 years or above were recruited from the Beijing Longitudinal Study on Aging II cohort from 2010 to 2011. Odds ratio (ORs) and 95% confidence intervals (CIs) were estimated using multivariate logistic regression models. Multiplicative and additive interactions between pRBD and sleep insufficiency were examined using likelihood ratio tests and relative excess risk due to interaction (RERI), respectively. Results Among 6891 included participants, 479 experienced at least once fall. pRBD and sleep insufficiency were both independently associated with elevated fall risk. Compared to the elderly without pRBD or sleep insufficiency, pRBD and sleep insufficiency was each associated with a 2.57-fold (OR = 2.57, 95%CI: 1.46–4.31) and 1.45-fold (OR = 1.45, 95%CI: 1.11–1.88) risk of falls individually, while their coexistence was associated with a less-than-additive 17% (OR = 1.17, 95%CI: 0.43–2.63) increased risk of falls. The combination of these two factors demonstrated evidence of a negative interaction on both multiplicative (ratio of ORs = 0.31, 95%CI: 0.10, 0.86) and additive (RERI = − 1.85, 95%CI: − 3.61, − 0.09) scale. Conclusions Our study has provided robust evidence for the adverse effect of pRBD and sleep insufficiency, as well as their negative interaction on increasing fall risk in a Chinese elderly population. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02513-2.
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Affiliation(s)
- Chao Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jing An
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China. .,Department of Neurobiology, Neurology and Geriatrics, Clinical Center for Parkinson's Disease, Key Laboratories for Neurodegenerative Diseases of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Advanced Innovative Center for Human Brain Protection, Beijing Institute of Geriatrics, Parkinson Disease Center of Beijing Institute for Brain Disorders, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, China.
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34
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De Looze C, Feeney JC, Scarlett S, Hirst R, Knight SP, Carey D, Meaney JF, Kenny RA. Sleep duration, sleep problems and perceived stress are associated with hippocampal subfield volumes in later life: Findings from The Irish Longitudinal Study on Ageing (TILDA). Sleep 2021; 45:6374891. [PMID: 34558630 DOI: 10.1093/sleep/zsab241] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/15/2021] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES This study examines the cross-sectional and two-year follow-up relationships between sleep and stress and total hippocampal volume and hippocampal subfield volumes among older adults. METHODS 417 adults (aged 68.8±7.3; 54% women) from the Irish Longitudinal Study on Ageing completed an interview, a questionnaire and multiparametric brain MRI. The relationships between self-reported sleep duration, sleep problems, perceived stress and total hippocampal volume were examined by using ordinary least squares regressions. Linear mixed-effects models were used to investigate the relationships between sleep duration, sleep problems, perceived stress, changes in these measures over two-years and hippocampal subfield volumes. RESULTS No cross-sectional and follow-up associations between sleep and total hippocampal volume and between stress and total hippocampal volume were found. By contrast, Long sleep (≥9-10 hours / night) was associated with smaller volumes of molecular layer, hippocampal tail, presubiculum and subiculum. The co-occurrence of Short sleep (≤6 hours) and perceived stress was associated with smaller cornu ammonis 1, molecular layer, subiculum and tail. Sleep problems independently and in conjunction with higher stress, and increase in sleep problems over 2 years were associated with smaller volumes of these same subfields. CONCLUSION Our study highlights the importance of concurrently assessing sub-optimal sleep and stress for phenotyping individuals at risk of hippocampal subfield atrophy.
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Affiliation(s)
- Céline De Looze
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - Joanne C Feeney
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - Siobhan Scarlett
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - Rebecca Hirst
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - Silvin P Knight
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - Daniel Carey
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland
| | - James F Meaney
- The National Centre for Advanced Medical Imaging (CAMI), St. James's Hospital, Dublin, Ireland
| | - Rose Anne Kenny
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Ireland.,Mercer's Institute for Successful Ageing (MISA), St James's Hospital, Dublin, Ireland
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35
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Li J, Cao D, Huang Y, Chen Z, Wang R, Dong Q, Wei Q, Liu L. Sleep duration and health outcomes: an umbrella review. Sleep Breath 2021; 26:1479-1501. [PMID: 34435311 DOI: 10.1007/s11325-021-02458-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/18/2021] [Accepted: 07/28/2021] [Indexed: 02/05/2023]
Abstract
PURPOSE To collect existing evidence on the relationship between sleep duration and health outcomes. METHODS A thorough search was conducted in PubMed, Web of Science, Embase, and the Cochrane Database of Systematic Reviews from inception to January, 2021. Meta-analyses of observational and interventional studies were eligible if they examined the associations between sleep duration and human health. RESULTS In total, this umbrella review identified 69 meta-analyses with 11 outcomes for cancers and 30 outcomes for non-cancer conditions. Inappropriate sleep durations may significantly elevate the risk for cardiovascular disease (CVD), cognitive decline, coronary heart disease (CHD), depression, falls, frailty, lung cancer, metabolic syndrome (MS), and stroke. Dose-response analysis revealed that a 1-h reduction per 24 hours is associated with an increased risk by 3-11% of all-cause mortality, CHD, osteoporosis, stroke, and T2DM among short sleepers. Conversely, a 1-h increment in long sleepers is associated with a 7-17% higher risk of stroke mortality, CHD, stroke, and T2DM in adults. CONCLUSION Inappropriate sleep duration is a risk factor for developing non-cancer conditions. Decreasing and increasing sleep hours towards extreme sleep durations are associated with poor health outcomes.
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Affiliation(s)
- Jin Li
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Dehong Cao
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Yin Huang
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Zeyu Chen
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Ruyi Wang
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Qiang Dong
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Qiang Wei
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
| | - Liangren Liu
- Department of Urology/Institute of Urology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
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36
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Wang X, Chen Y, Yue B, Li S, Liu Q, Li Q, Li L, Sun J. Association of changes in self-reported sleep duration with mild cognitive impairment in the elderly: a longitudinal study. Aging (Albany NY) 2021; 13:14816-14828. [PMID: 34091444 PMCID: PMC8221318 DOI: 10.18632/aging.203149] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/18/2021] [Indexed: 12/12/2022]
Abstract
As a symptomatic predementia stage with progressive cognitive decline, mild cognitive impairment (MCI) is common with aging. How changes in self-reported sleep duration affect MCI risk in the older adults remains unclear. Participants aged ≥ 65 years and enrolled at least two waves in the Chinese Longitudinal Healthy Longevity Survey were included in present longitudinal study. Changes in sleep duration were calculated as the difference between two waves and categorized into five groups: decreased >2 h, decreased 0-2h, stable, increased 0-2 h, and increased >2 h. MCI was measured by the Chinese version of the Mini-Mental State Examination. Generalized estimating equation model and restricted cubic spline function was applied to investigate the association. Among 9,005 participants (mean age, 81.19 years; 4,391 male), 2,877 developed MCI. Comparing with individuals with stable sleep duration, MCI risk [odds ratio (95% confidence intervals)] was: 1.15 (0.99-1.34) for decreased >2 h, 0.99 (0.87-1.13) for decreased 0-2h, 1.09 (0.95-1.24) for increased 0-2 h, and 1.57 (1.36-1.81) for increased >2 h, respectively. Similar patterns were observed among subgroup analyses by sex, age, and sleep quality at baseline. For participants with long sleep duration at baseline (>8h), further increased >2 h was associated with higher MCI risk [2.23 (1.55-3.21)]. Either in the whole or subgroup population, a U-shaped association was observed (Pnon-linearity<0.05). In conclusion, changes in self-reported sleep duration were associated with MCI risk in a U-shaped pattern. Strategies that shifting sleep duration into normal range and keeping it stable are essential to prevent MCI in clinical practice.
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Affiliation(s)
- Xiyan Wang
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Yan Chen
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Bixuan Yue
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Sifan Li
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Qitong Liu
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Qiaoyu Li
- Department of Public Health, Shenyang Medical College, Liaoning, China
| | - Lin Li
- School of Medical Sciences, Örebro University, Örebro, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jiangwei Sun
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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37
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Sabia S, Fayosse A, Dumurgier J, van Hees VT, Paquet C, Sommerlad A, Kivimäki M, Dugravot A, Singh-Manoux A. Association of sleep duration in middle and old age with incidence of dementia. Nat Commun 2021; 12:2289. [PMID: 33879784 PMCID: PMC8058039 DOI: 10.1038/s41467-021-22354-2] [Citation(s) in RCA: 250] [Impact Index Per Article: 83.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 03/09/2021] [Indexed: 01/10/2023] Open
Abstract
Sleep dysregulation is a feature of dementia but it remains unclear whether sleep duration prior to old age is associated with dementia incidence. Using data from 7959 participants of the Whitehall II study, we examined the association between sleep duration and incidence of dementia (521 diagnosed cases) using a 25-year follow-up. Here we report higher dementia risk associated with a sleep duration of six hours or less at age 50 and 60, compared with a normal (7 h) sleep duration, although this was imprecisely estimated for sleep duration at age 70 (hazard ratios (HR) 1.22 (95% confidence interval 1.01-1.48), 1.37 (1.10-1.72), and 1.24 (0.98-1.57), respectively). Persistent short sleep duration at age 50, 60, and 70 compared to persistent normal sleep duration was also associated with a 30% increased dementia risk independently of sociodemographic, behavioural, cardiometabolic, and mental health factors. These findings suggest that short sleep duration in midlife is associated with an increased risk of late-onset dementia.
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Affiliation(s)
- Séverine Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France.
- Department of Epidemiology and Public Health, University College London, London, UK.
| | - Aurore Fayosse
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Julien Dumurgier
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
- Université de Paris, Inserm U1144, Cognitive Neurology Center, GHU APHP Nord Lariboisière - Fernand Widal Hospital, Paris, France
| | | | - Claire Paquet
- Université de Paris, Inserm U1144, Cognitive Neurology Center, GHU APHP Nord Lariboisière - Fernand Widal Hospital, Paris, France
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Aline Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Archana Singh-Manoux
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
- Department of Epidemiology and Public Health, University College London, London, UK
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38
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Use of bladder antimuscarinics is associated with an increased risk of dementia: a retrospective population-based case-control study. Sci Rep 2021; 11:4827. [PMID: 33649451 PMCID: PMC7921664 DOI: 10.1038/s41598-021-84229-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/11/2021] [Indexed: 11/27/2022] Open
Abstract
The association between bladder antimuscarinic use and dementia development is unclear. We used data from the Taiwan National Health Insurance Research Database to determine the association between the exposure dose and duration of bladder antimuscarinics and the subsequent dementia risk. We enrolled participants aged 55 years or more and defined a dementia cohort (International Classification of Diseases, Ninth Revision, Clinical Modification codes 290, 294.1, and 331.0). We used a propensity score matching method, and randomly enrolled two controls without dementia. We evaluated dementia risk with respect to the exposure dose and duration of treatment with seven bladder antimuscarinics (oxybutynin, propiverine, tolterodine, solifenacin, trospium, darifenacin, and fesoterodine) used for at least 1 year before the index date, after adjusting for age, sex, comorbidities, and medications. The dementia risk was 2.46-fold (95% confidence interval: 2.22–2.73) higher in Taiwanese patients who used bladder antimuscarinics for ≥ 1 year than in those who were not exposed to this treatment. The risk proportionally increased with increasing doses of antimuscarinics for less than 4 years. Taiwanese patients aged 55 years or more on bladder antimuscarinics exhibited a higher risk of dementia. Additional studies in other countries are required to determine whether this result is valid worldwide.
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39
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Zhao J, Yang F, Zhuo C, Wang Q, Qu Z, Wang Q, Zheng L. Association of Sleep Duration With Atrial Fibrillation and Heart Failure: A Mendelian Randomization Analysis. Front Genet 2021; 12:583658. [PMID: 33719330 PMCID: PMC7943616 DOI: 10.3389/fgene.2021.583658] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 01/29/2021] [Indexed: 11/13/2022] Open
Abstract
Both short (<7 h per night) and long (≥9 h per night) sleep durations are related to atrial fibrillation (AF) and heart failure (HF), but their causality has not been confirmed. We applied Mendelian randomization (MR) approaches to estimate the causal association between genetically determined sleep duration and the risk of AF and HF. We performed two-sample MR analysis to obtain the effect of sleep duration on AF and HF. Instrumental variables were constructed using genetic variants known to be associated with continuous sleep duration, short sleep duration, and long sleep duration. MR estimates of the effect of sleep duration on AF and HF were derived based on two large meta-analyses of genome-wide association studies. The pooled MR estimate demonstrated a significant protective effect of continuous sleep duration on HF [odds ratio (OR) = 0.765, 95% confidence interval (CI) = 0.675–0.867; P = 2.64 × 10–5] and a suggestive inverse association of continuous sleep duration with AF (OR = 0.893, 95% CI = 0.804–0.991; P = 0.034). In addition, the results showed a suggestive detrimental effect of short sleep duration on the risk of AF (OR = 1.108, 95% CI = 1.017–1.207; P = 0.019) and HF (OR = 1.136, 95% CI = 1.025–1.258; P = 0.015). Conversely, there is no significant evidence for the causal protective effect of long sleep duration on AF (OR = 0.956, P = 0.410) and HF (OR = 0.921, P = 0.202). This MR study indicated that genetically determined continuous sleep duration has a significant protective effect on HF and a suggestive inverse association with AF. Short sleep duration is positively associated with the risk of AF and HF. Nevertheless, there is no significant evidence for the causal protective effect of long sleep duration on AF and HF. Larger intervention studies are required to confirm the effectiveness of improving sleep on reducing the incidence of AF and HF.
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Affiliation(s)
- Jianqiang Zhao
- Department of Cardiology and Atrial Fibrillation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Fangkun Yang
- Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chengui Zhuo
- Department of Cardiology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, China
| | - Qiyue Wang
- School of Medicine, Zhejiang University City College, Hangzhou, China
| | - Zihao Qu
- Department of Orthopedic Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Qiqi Wang
- Department of Cardiology and Atrial Fibrillation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Liangrong Zheng
- Department of Cardiology and Atrial Fibrillation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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40
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Fang EF, Xie C, Schenkel JA, Wu C, Long Q, Cui H, Aman Y, Frank J, Liao J, Zou H, Wang NY, Wu J, Liu X, Li T, Fang Y, Niu Z, Yang G, Hong J, Wang Q, Chen G, Li J, Chen HZ, Kang L, Su H, Gilmour BC, Zhu X, Jiang H, He N, Tao J, Leng SX, Tong T, Woo J. A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks. Ageing Res Rev 2020; 64:101174. [PMID: 32971255 PMCID: PMC7505078 DOI: 10.1016/j.arr.2020.101174] [Citation(s) in RCA: 242] [Impact Index Per Article: 60.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/13/2020] [Accepted: 09/03/2020] [Indexed: 12/18/2022]
Abstract
One of the key issues facing public healthcare is the global trend of an increasingly ageing society which continues to present policy makers and caregivers with formidable healthcare and socio-economic challenges. Ageing is the primary contributor to a broad spectrum of chronic disorders all associated with a lower quality of life in the elderly. In 2019, the Chinese population constituted 18 % of the world population, with 164.5 million Chinese citizens aged 65 and above (65+), and 26 million aged 80 or above (80+). China has become an ageing society, and as it continues to age it will continue to exacerbate the burden borne by current family and public healthcare systems. Major healthcare challenges involved with caring for the elderly in China include the management of chronic non-communicable diseases (CNCDs), physical frailty, neurodegenerative diseases, cardiovascular diseases, with emerging challenges such as providing sufficient dental care, combating the rising prevalence of sexually transmitted diseases among nursing home communities, providing support for increased incidences of immune diseases, and the growing necessity to provide palliative care for the elderly. At the governmental level, it is necessary to make long-term strategic plans to respond to the pressures of an ageing society, especially to establish a nationwide, affordable, annual health check system to facilitate early diagnosis and provide access to affordable treatments. China has begun work on several activities to address these issues including the recent completion of the of the Ten-year Health-Care Reform project, the implementation of the Healthy China 2030 Action Plan, and the opening of the National Clinical Research Center for Geriatric Disorders. There are also societal challenges, namely the shift from an extended family system in which the younger provide home care for their elderly family members, to the current trend in which young people are increasingly migrating towards major cities for work, increasing reliance on nursing homes to compensate, especially following the outcomes of the 'one child policy' and the 'empty-nest elderly' phenomenon. At the individual level, it is important to provide avenues for people to seek and improve their own knowledge of health and disease, to encourage them to seek medical check-ups to prevent/manage illness, and to find ways to promote modifiable health-related behaviors (social activity, exercise, healthy diets, reasonable diet supplements) to enable healthier, happier, longer, and more productive lives in the elderly. Finally, at the technological or treatment level, there is a focus on modern technologies to counteract the negative effects of ageing. Researchers are striving to produce drugs that can mimic the effects of 'exercising more, eating less', while other anti-ageing molecules from molecular gerontologists could help to improve 'healthspan' in the elderly. Machine learning, 'Big Data', and other novel technologies can also be used to monitor disease patterns at the population level and may be used to inform policy design in the future. Collectively, synergies across disciplines on policies, geriatric care, drug development, personal awareness, the use of big data, machine learning and personalized medicine will transform China into a country that enables the most for its elderly, maximizing and celebrating their longevity in the coming decades. This is the 2nd edition of the review paper (Fang EF et al., Ageing Re. Rev. 2015).
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Affiliation(s)
- Evandro F Fang
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway; The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway; Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, 510080, Guangzhou, China; Institute of Geriatric Immunology, School of Medicine, Jinan University, 510632, Guangzhou, China; Department of Geriatrics, The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, China.
| | - Chenglong Xie
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway; Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
| | - Joseph A Schenkel
- Durham University Department of Sports and Exercise Sciences, Durham, United Kingdom.
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, 215316, Kunshan, China; Duke Global Health Institute, Duke University, Durham, 27710, North Carolina, USA.
| | - Qian Long
- Global Health Research Center, Duke Kunshan University, 215316, Kunshan, China.
| | - Honghua Cui
- Department of Endodontics, Shanghai Stomatological Hospital, Fudan University, China; Oral Biomedical Engineering Laboratory, Shanghai Stomatological Hospital, Fudan University, China.
| | - Yahyah Aman
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway.
| | - Johannes Frank
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, 1478 Lørenskog, Norway.
| | - Jing Liao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 510275, Guangzhou, China; Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, 510275, Guangzhou, China.
| | - Huachun Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China; Kirby Institute, University of New South Wales, Sydney, Australia.
| | - Ninie Y Wang
- Pinetree Care Group, 515 Tower A, Guomen Plaza, Chaoyang District, 100028, Beijing, China.
| | - Jing Wu
- Department of Sociology and Work Science, University of Gothenburg, SE-405 30, Gothenburg, Sweden.
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Tao Li
- BGI-Shenzhen, Beishan Industrial Zone, 518083, Shenzhen, China; China National GeneBank, BGI-Shenzhen, 518120, Shenzhen, China.
| | - Yuan Fang
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands.
| | - Zhangming Niu
- Aladdin Healthcare Technologies Ltd., 25 City Rd, Shoreditch, London EC1Y 1AA, UK.
| | - Guang Yang
- Cardiovascular Research Centre, Royal Brompton Hospital, London, SW3 6NP, UK; and National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, United Kingdom.
| | | | - Qian Wang
- Department of Geriatrics, The First Affiliated Hospital, Zhengzhou University, 450052, Zhengzhou, China.
| | - Guobing Chen
- Institute of Geriatric Immunology, School of Medicine, Jinan University, 510632, Guangzhou, China.
| | - Jun Li
- Department of Biochemistry and Molecular Biology, The Institute of Basic Medical Sciences, The Chinese Academy of Medical Sciences (CAMS)& Peking Union Medical University (PUMC), 5 Dondan Santiao Road, Beijing, 100730, China.
| | - Hou-Zao Chen
- Department of Biochemistry and Molecular Biology, The Institute of Basic Medical Sciences, The Chinese Academy of Medical Sciences (CAMS)& Peking Union Medical University (PUMC), 5 Dondan Santiao Road, Beijing, 100730, China.
| | - Lin Kang
- Department of Geriatrics, Peking Union Medical College Hospital, Beijing, 100730, China.
| | - Huanxing Su
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao.
| | - Brian C Gilmour
- The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway.
| | - Xinqiang Zhu
- Department of Toxicology, Zhejiang University School of Public Health, Hangzhou, 310058, Zhejiang, China; The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, China.
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Na He
- School of Public Health, Fudan University, 200032, Shanghai, China; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, 200032, Shanghai, China; Key Laboratory of Health Technology Assessment of Ministry of Health, Fudan University, 200032, Shanghai, China.
| | - Jun Tao
- Department of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, 510080, Guangzhou, China.
| | - Sean Xiao Leng
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, 5505 Hopkins Bayview Circle, Baltimore, MD 21224, USA.
| | - Tanjun Tong
- Research Center on Ageing, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Beijing, China.
| | - Jean Woo
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
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41
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Fjell AM, Sørensen Ø, Amlien IK, Bartrés-Faz D, Brandmaier AM, Buchmann N, Demuth I, Drevon CA, Düzel S, Ebmeier KP, Ghisletta P, Idland AV, Kietzmann TC, Kievit RA, Kühn S, Lindenberger U, Magnussen F, Macià D, Mowinckel AM, Nyberg L, Sexton CE, Solé-Padullés C, Pudas S, Roe JM, Sederevicius D, Suri S, Vidal-Piñeiro D, Wagner G, Watne LO, Westerhausen R, Zsoldos E, Walhovd KB. Poor Self-Reported Sleep is Related to Regional Cortical Thinning in Aging but not Memory Decline-Results From the Lifebrain Consortium. Cereb Cortex 2020; 31:1953-1969. [PMID: 33236064 PMCID: PMC7945023 DOI: 10.1093/cercor/bhaa332] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/17/2020] [Accepted: 10/12/2020] [Indexed: 12/16/2022] Open
Abstract
We examined whether sleep quality and quantity are associated with cortical and memory changes in cognitively healthy participants across the adult lifespan. Associations between self-reported sleep parameters (Pittsburgh Sleep Quality Index, PSQI) and longitudinal cortical change were tested using five samples from the Lifebrain consortium (n = 2205, 4363 MRIs, 18–92 years). In additional analyses, we tested coherence with cell-specific gene expression maps from the Allen Human Brain Atlas, and relations to changes in memory performance. “PSQI # 1 Subjective sleep quality” and “PSQI #5 Sleep disturbances” were related to thinning of the right lateral temporal cortex, with lower quality and more disturbances being associated with faster thinning. The association with “PSQI #5 Sleep disturbances” emerged after 60 years, especially in regions with high expression of genes related to oligodendrocytes and S1 pyramidal neurons. None of the sleep scales were related to a longitudinal change in episodic memory function, suggesting that sleep-related cortical changes were independent of cognitive decline. The relationship to cortical brain change suggests that self-reported sleep parameters are relevant in lifespan studies, but small effect sizes indicate that self-reported sleep is not a good biomarker of general cortical degeneration in healthy older adults.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, 10117 Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Research Park, Gaustadalleen 21, 0349 Oslo, Norway.,Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, Swiss Distance University Institute, Swiss National Centre of Competence in Research LIVES, University of Geneva, 1205 Geneva, Switzerland
| | - Ane-Victoria Idland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, 0315 Oslo, Norway
| | - Tim C Kietzmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Fredrik Magnussen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Didac Macià
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Global Brain Health Institute, Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - James M Roe
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Donatas Sederevicius
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Gerd Wagner
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, 07743 Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
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Short sleep duration and high exposure to quick returns are associated with impaired everyday memory in shift workers. Nurs Outlook 2020; 69:293-301. [PMID: 33127075 DOI: 10.1016/j.outlook.2020.09.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/01/2020] [Accepted: 09/16/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE To investigate the relationship between self-reported everyday memory problems the last month, and: (a) shift work schedule, (b) night shifts and quick returns worked the last year, and (c) sleep duration the last month. METHODS In all, 1,275 nurses completed the Everyday Memory Questionnaire - revised, and answered questions about shift work exposure and sleep duration. We performed multiple linear regression analyses with memory score as dependent variable, and the shift work exposure variables as well as sleep duration as predictors, while adjusting for potential confounders. FINDINGS High exposure to quick returns (β = .10, p < .05) and short sleep duration (β = .10, p < .05) were both positively associated with memory problems, whereas shift work schedule, long sleep duration, night shift exposure, and low and moderate exposure to quick returns were not. DISCUSSION Frequent insufficient time for rest between shifts as well as short sleep was associated with poorer everyday memory.
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Leng Y, Ackley SF, Glymour MM, Yaffe K, Brenowitz WD. Genetic Risk of Alzheimer's Disease and Sleep Duration in Non-Demented Elders. Ann Neurol 2020; 89:177-181. [PMID: 32951248 DOI: 10.1002/ana.25910] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 09/10/2020] [Accepted: 09/11/2020] [Indexed: 12/12/2022]
Abstract
Growing evidence has suggested an association between sleep duration and Alzheimer's disease (AD), but it is unclear if sleep duration is a manifestation of the AD disease process. We studied whether genetic liability for AD predicts sleep duration using a genetic risk score (GRS) for AD (AD-GRS), in 406,536 UK Biobank participants with European ancestry and without dementia at enrollment. Higher AD-GRS score was associated with shorter sleep (b = -0.014, 95% confidence interval [CI] = -0.022 to -0.006), especially in those aged 55+. Using AD-GRS as an instrumental variable for AD diagnosis, incipient AD reduced sleep duration by 1.87 hours (95% CI = 0.96, 2.78). Short sleep duration might be an early marker of AD. ANN NEUROL 2021;89:177-181.
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Affiliation(s)
- Yue Leng
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA
| | - Sarah F Ackley
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Maria M Glymour
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA.,Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA.,Department of Neurology, University of California, San Francisco, San Francisco, CA.,San Francisco Veterans Affairs Health Care System, San Francisco, CA
| | - Willa D Brenowitz
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA
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The Research Agenda for Dementia in Post-acute and Long-term Care, 2020 (Part I). J Am Med Dir Assoc 2019; 20:1477-1479. [PMID: 31780039 DOI: 10.1016/j.jamda.2019.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 10/23/2019] [Indexed: 11/20/2022]
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