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Amato L, Giannetta N, Taborri S, Dionisi S, Panattoni N, Di Simone E, De Leo A, Liquori G, Orsi GB, Fabbian F, Di Muzio M. Sleep Quality and Medication Adherence in Older Adults: A Systematic Review. Clocks Sleep 2024; 6:488-498. [PMID: 39311227 PMCID: PMC11417870 DOI: 10.3390/clockssleep6030032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 08/27/2024] [Accepted: 08/30/2024] [Indexed: 09/26/2024] Open
Abstract
Sleep quality significantly impacts individuals' overall health, especially in older adults. Older adults often face comorbid conditions, polypharmacy (the intake of five or more medications per day), and medication non-adherence, which are common among those with sleep disorders. The purpose of this systematic review is to examine the relationship between sleep quality and medication adherence in older adults and to describe the measuring instruments used. A systematic review was performed following the PRISMA guidelines. The PubMed, Scopus, Cochrane Library, and CINAHL databases were screened from January 2024 to March 2024. Nine articles were included in the final synthesis based on the inclusion and exclusion criteria. The review found that poor sleep quality is significantly associated with reduced medication adherence in older adults. The key sleep determinants linked to medication non-adherence include sleep disorders, sleep efficiency, sleep duration, and daytime dysfunctions. Inappropriate medication prescriptions have been associated with reduced sleep efficiency. The tools for assessing sleep quality and medication adherence are predominantly subjective and varied. To address these challenges, a comprehensive geriatric assessment should include investigations into sleep disorders and comorbidity factors. Additionally, nursing educational interventions could be pivotal in improving medication adherence among older adults.
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Affiliation(s)
- Leandro Amato
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy (S.T.)
| | - Noemi Giannetta
- Departmental Faculty of Medicine, Saint Camillus International University of Health and Medical Sciences (UniCamillus), 00131 Rome, Italy;
| | - Sofia Taborri
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy (S.T.)
| | - Sara Dionisi
- Nursing, Technical, Rehabilitation Department, DaTeR Local Health Unit of Bologna, 40124 Bologna, Italy;
| | - Nicolò Panattoni
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy; (N.P.); (E.D.S.); (G.B.O.)
| | - Emanuele Di Simone
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy; (N.P.); (E.D.S.); (G.B.O.)
| | - Aurora De Leo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy (G.L.)
| | - Gloria Liquori
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy (G.L.)
| | - Giovanni Battista Orsi
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy; (N.P.); (E.D.S.); (G.B.O.)
| | - Fabio Fabbian
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy;
| | - Marco Di Muzio
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy (S.T.)
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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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Hyväri S, Elo S, Kukkohovi S, Lotvonen S. Utilizing activity sensors to identify the behavioural activity patterns of elderly home care clients. Disabil Rehabil Assist Technol 2024; 19:585-594. [PMID: 36067090 DOI: 10.1080/17483107.2022.2110951] [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: 11/29/2021] [Revised: 06/22/2022] [Accepted: 08/03/2022] [Indexed: 10/14/2022]
Abstract
PURPOSE The behavioural activity pattern is a behavioural and biological 24-hour rhythm. Ageing, diseases and memory disorders can change this pattern. Home care staff can utilize knowledge about the behavioural activity pattern of elderly home care clients in many ways. The purpose of this study was to evaluate whether home care staff could identify the behavioural activity pattern of elderly home care clients using activity sensors, namely, actigraphs and motion sensors, could identify the behavioural activity rhythms. MATERIALS AND METHODS A total of four elderly home care clients and one elderly home rehabilitation client took part in the study. The participants wore actigraphs on their wrist and motion sensors were installed in their apartment. In addition to sensor data, home care staff answered one open-ended question during each home care visit. The data collection period was two weeks. Both quantitative and qualitative methods were used in the analysis. RESULTS The behavioural activity pattern was easy to identify from the motion sensor data, whereas actigraph data were difficult to interpret. The home care staff members' answers to open-ended questions reinforced the reliability of motion sensor data. CONCLUSIONS Motion sensors are relatively cheap, unobtrusive and reliable way to identify and detect changes in the behavioural activity patterns of elderly home care clients.Implications for rehabilitationMotion sensors are cheap, user-friendly and highly accepted technology for identifying and monitoring behavioural activity rhythm.Home care staff members can use the data about elderly home care client's behavioural activity rhythm to monitor deviations to the rhythm and detect changes in client's health.The information about behavioural activity rhythm can also be utilized in planning home care visits and interventions.
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Affiliation(s)
- Sauli Hyväri
- Research Unit of Health Sciences and Technology, GeroNursing Centre, University of Oulu, Oulu, Finland
| | - Satu Elo
- Future Health Services, Lapland University of Applied Sciences, Kemi, Finland
| | - Saara Kukkohovi
- Research Unit of Health Sciences and Technology, GeroNursing Centre, University of Oulu, Oulu, Finland
| | - Sinikka Lotvonen
- Research Unit of Health Sciences and Technology, GeroNursing Centre, University of Oulu, Oulu, Finland
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Song Y, Papazyan A, Lee D, Mitchell MN, McCurry SM, Irwin MR, Teng E, Alessi CA, Martin JL. The feasibility of a sleep education program for informal dementia care dyads: A pilot randomized controlled trial. J Am Geriatr Soc 2024; 72:1207-1215. [PMID: 38193336 PMCID: PMC11018508 DOI: 10.1111/jgs.18720] [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: 09/07/2023] [Revised: 11/14/2023] [Accepted: 11/27/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Untreated sleep problems in both persons living with dementia (PLWD) and their family care partners (CP) impact their health and quality of life. This pilot study tested a sleep intervention program for both dyad members. METHODS Thirty dyads were randomized to a 5-session Care2Sleep intervention (n = 15 dyads) or an information-only control group (n = 15 dyads) delivered in-person or by video-telehealth by trained sleep educators. Care2Sleep is a manual-based program, incorporating key components of cognitive behavioral therapy for insomnia, daily light exposure and walking, and problem-solving for dementia-related behaviors. Adherence with Care2Sleep recommendations was assessed. Sleep outcomes included actigraphy-measured sleep efficiency (SE) and total wake time (TWT) for dyads, and the Pittsburgh Sleep Quality Index (PSQI) for CP. Other outcomes for CP included the Zarit Burden Interview (ZBI) and positive aspects of caregiving (PAC). Outcomes were measured at baseline, posttreatment, and 3-month follow-up. A 2 (group) by 3 (time) mixed model analysis of variance tested treatment effects. RESULTS Study feasibility was demonstrated, with 13 dyads completing all five sessions of Care2Sleep program and 14 completing the control condition. In the Care2Sleep group, the dyads adhered to recommended sleep schedules of 76% for bedtime and 72% for get-up time for PLWD, and 69% for bedtime and 67% for get-up time for CP. There were several nonsignificant trends in outcomes from baseline to 3-month follow-up between the two groups. For example, SE increased by 3.2% more for PLWD and 3.2% more for CP with Care2Sleep versus control. TWT decreased by 14 min more for PLWD and 12 min more for CP with Care2Sleep versus control at the 3-month follow-up. CP in Care2Sleep also showed improvement in the PSQI, ZBI, and PAC scores. CONCLUSIONS A dyadic approach to sleep improvement is feasible. Larger trials are needed to test effects of this intervention for PLWD and their family CP. CLINICALTRIALS gov: NCT03455569.
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Affiliation(s)
- Yeonsu Song
- School of Nursing, University of California, Los Angeles, Los Angeles, CA, USA
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Anna Papazyan
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Diane Lee
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
| | - Michael N. Mitchell
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
| | | | - Michael R. Irwin
- Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Edmond Teng
- School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Cathy A. Alessi
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jennifer L. Martin
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Healthcare System, North Hills, CA, USA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
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Gabb VG, Blackman J, Morrison HD, Biswas B, Li H, Turner N, Russell GM, Greenwood R, Jolly A, Trender W, Hampshire A, Whone A, Coulthard E. Remote Evaluation of Sleep and Circadian Rhythms in Older Adults With Mild Cognitive Impairment and Dementia: Protocol for a Feasibility and Acceptability Mixed Methods Study. JMIR Res Protoc 2024; 13:e52652. [PMID: 38517469 PMCID: PMC10998181 DOI: 10.2196/52652] [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: 09/19/2023] [Revised: 02/12/2024] [Accepted: 02/13/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Sleep disturbances are a potentially modifiable risk factor for neurodegenerative dementia secondary to Alzheimer disease (AD) and Lewy body disease (LBD). Therefore, we need to identify the best methods to study sleep in this population. OBJECTIVE This study will assess the feasibility and acceptability of various wearable devices, smart devices, and remote study tasks in sleep and cognition research for people with AD and LBD. METHODS We will deliver a feasibility and acceptability study alongside a prospective observational cohort study assessing sleep and cognition longitudinally in the home environment. Adults aged older than 50 years who were diagnosed with mild to moderate dementia or mild cognitive impairment (MCI) due to probable AD or LBD and age-matched controls will be eligible. Exclusion criteria include lack of capacity to consent to research, other causes of MCI or dementia, and clinically significant sleep disorders. Participants will complete a cognitive assessment and questionnaires with a researcher and receive training and instructions for at-home study tasks across 8 weeks. At-home study tasks include remote sleep assessments using wearable devices (electroencephalography headband and actigraphy watch), app-based sleep diaries, online cognitive assessments, and saliva samples for melatonin- and cortisol-derived circadian markers. Feasibility outcomes will be assessed relating to recruitment and retention, data completeness, data quality, and support required. Feedback on acceptability and usability will be collected throughout the study period and end-of-study interviews will be analyzed using thematic analysis. RESULTS Recruitment started in February 2022. Data collection is ongoing, with final data expected in February 2024 and data analysis and publication of findings scheduled for the summer of 2024. CONCLUSIONS This study will allow us to assess if remote testing using smart devices and wearable technology is a viable alternative to traditional sleep measurements, such as polysomnography and questionnaires, in older adults with and without MCI or dementia due to AD or LBD. Understanding participant experience and the barriers and facilitators to technology use for research purposes and remote research in this population will assist with the development of, recruitment to, and retention within future research projects studying sleep and cognition outside of the clinic or laboratory. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/52652.
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Affiliation(s)
- Victoria Grace Gabb
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
| | - Jonathan Blackman
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
| | - Hamish Duncan Morrison
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
| | - Bijetri Biswas
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Haoxuan Li
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
- King's College Hospital, King's College Hospital NHS Foundation Trust, London, United Kingdom
- Bristol Royal Infirmary, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
| | - Nicholas Turner
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | | | - Rosemary Greenwood
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Research & Innovation, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom
| | - Amy Jolly
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
- UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - William Trender
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Adam Hampshire
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Alan Whone
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
| | - Elizabeth Coulthard
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Neurology Department, Bristol Brain Centre, North Bristol NHS Trust, Bristol, United Kingdom
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Cho E, Lee H, Shin J, Kim S, Heo SJ, Park H, Seok JW. Salivary Cortisol and Melatonin, Sleep, and Behavioral Patterns in Older Adults Living With Dementia. Nurs Res 2024; 73:E11-E20. [PMID: 38112608 DOI: 10.1097/nnr.0000000000000709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
BACKGROUND Over half of the older adults living with dementia have behavioral and psychological symptoms of dementia (BPSD), including sleep disturbance; however, little is known about physiological markers. Salivary cortisol and melatonin have been identified as potential biomarkers of BPSD, with evidence suggesting a relationship between these biomarkers and various behavioral factors, as well as sleep and activity patterns. OBJECTIVES The aim of this study was to investigate the time-dependent changes in salivary cortisol and melatonin levels in older adults with dementia, their relationship with the sleep-wake cycle, and their correlation with BPSD symptoms and behavioral factors. METHODS This observational study conducted in Seoul and Gyeonggi-do, South Korea, used data from 172 older adults with dementia, measuring sleep and activity patterns for 2 weeks using a wearable device, in addition to administering questionnaires for neuropsychiatric and psychological symptoms-the Neuropsychiatric Inventory, Cohen-Mansfield Agitation Inventory, and Cornell Scale for Depression in Dementia. Salivary cortisol and melatonin levels were measured at four time points and divided into four groups based on a dual-trajectory model. Differences among the groups were analyzed using one-way analysis of variance. RESULTS The participants showed normal but heterogeneous patterns of salivary cortisol and melatonin levels. Dual-trajectory pattern analysis showed that higher levels of melatonin during the daytime were correlated with poor nighttime sleep efficiency and decreased disinhibited behaviors, and higher levels of cortisol at all four time points were associated with decreased physical activity. DISCUSSION Measuring and analyzing periodic changes in cortisol and melatonin levels can predict various behavioral symptoms (e.g., sleep disturbances, activity counts, and disinhibition) in older adults with dementia. A study with an experimental design is needed to discover the direct physiological interactions between cortisol, melatonin, and these symptoms.
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Perlegos AE, Durkin J, Belfer SJ, Rodriguez A, Shcherbakova O, Park K, Luong J, Bonini NM, Kayser MS. TDP-43 impairs sleep in Drosophila through Ataxin-2-dependent metabolic disturbance. SCIENCE ADVANCES 2024; 10:eadj4457. [PMID: 38198547 PMCID: PMC10780954 DOI: 10.1126/sciadv.adj4457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024]
Abstract
Neurodegenerative diseases such as amyotrophic lateral sclerosis and frontotemporal dementia are associated with substantial sleep disruption, which may accelerate cognitive decline and brain degeneration. Here, we define a role for trans-activation response element (TAR) DNA binding protein 43 (TDP-43), a protein associated with human neurodegenerative disease, in regulating sleep using Drosophila. Expression of TDP-43 severely disrupts sleep, and the sleep deficit is rescued by Atx2 knockdown. Brain RNA sequencing revealed that Atx2 RNA interference regulates transcripts enriched for small-molecule metabolic signaling in TDP-43 brains. Focusing on these Atx2-regulated genes, we identified suppressors of the TDP-43 sleep phenotype enriched for metabolism pathways. Knockdown of Atx2 or treatment with rapamycin attenuated the sleep phenotype and mitigated the disruption of small-molecule glycogen metabolism caused by TDP-43. Our findings provide a connection between toxicity of TDP-43 and sleep disturbances and highlight key aspects of metabolism that interplay with TDP-43 toxicity upon Atx2 rescue.
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Affiliation(s)
- Alexandra E. Perlegos
- Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jaclyn Durkin
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- National Institute of Neurological Disorders & Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Samuel J. Belfer
- Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Anyara Rodriguez
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Oksana Shcherbakova
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kristen Park
- Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jenny Luong
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nancy M. Bonini
- Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neuroscience, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew S. Kayser
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neuroscience, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Chronobiology Sleep Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
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Townsend LTJ, Anderson KN, Boeve BF, McKeith I, Taylor JP. Sleep disorders in Lewy body dementia: Mechanisms, clinical relevance, and unanswered questions. Alzheimers Dement 2023; 19:5264-5283. [PMID: 37392199 DOI: 10.1002/alz.13350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 07/03/2023]
Abstract
In Lewy body dementia (LBD), disturbances of sleep and/or arousal including insomnia, excessive daytime sleepiness, rapid eye movement (REM) sleep behavior disorder, obstructive sleep apnea, and restless leg syndrome are common. These disorders can each exert a significant negative impact on both patient and caregiver quality of life; however, their etiology is poorly understood. Little guidance is available for assessing and managing sleep disorders in LBD, and they remain under-diagnosed and under-treated. This review aims to (1) describe the specific sleep disorders which occur in LBD, considering their putative or potential mechanisms; (2) describe the history and diagnostic process for these disorders in LBD; and (3) summarize current evidence for their management in LBD and consider some of the ongoing and unanswered questions in this field and future research directions.
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Affiliation(s)
- Leigh T J Townsend
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Kirstie N Anderson
- Regional Sleep Service, Newcastle-upon-Tyne NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ian McKeith
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
- Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, UK
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Blackman J, Morrison HD, Gabb V, Biswas B, Li H, Turner N, Jolly A, Trender W, Hampshire A, Whone A, Coulthard E. Remote evaluation of sleep to enhance understanding of early dementia due to Alzheimer's Disease (RESTED-AD): an observational cohort study protocol. BMC Geriatr 2023; 23:590. [PMID: 37742001 PMCID: PMC10518099 DOI: 10.1186/s12877-023-04288-0] [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: 01/11/2023] [Accepted: 09/06/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Sleep and circadian rhythm disorders are well recognised in both AD (Alzheimer's Disease) dementia and MCI-AD (Mild Cognitive Impairment due to Alzheimer's Disease). Such abnormalities include insomnia, excessive daytime sleepiness, decreased sleep efficiency, increased sleep fragmentation and sundowning. Enhancing understanding of sleep abnormalities may unveil targets for intervention in sleep, a promising approach given hypotheses that sleep disorders may exacerbate AD pathological progression and represent a contributory factor toward impaired cognitive performance and worse quality of life. This may also permit early diagnosis of AD pathology, widely acknowledged as a pre-requisite for future disease-modifying therapies. This study aims to bridge the divide between in-laboratory polysomnographic studies which allow for rich characterisation of sleep but in an unnatural setting, and naturalistic studies typically approximating sleep through use of non-EEG wearable devices. It is also designed to record sleep patterns over a 2 month duration sufficient to capture both infradian rhythm and compensatory responses following suboptimal sleep. Finally, it harnesses an extensively phenotyped population including with AD blood biomarkers. Its principal aims are to improve characterisation of sleep and biological rhythms in individuals with AD, particularly focusing on micro-architectural measures of sleep, compensatory responses to suboptimal sleep and the relationship between sleep parameters, biological rhythms and cognitive performance. METHODS/DESIGN This observational cohort study has two arms (AD-MCI / mild AD dementia and aged-matched healthy adults). Each participant undergoes a baseline visit for collection of demographic, physiological and neuropsychological information utilising validated questionnaires. The main study period involves 7 nights of home-based multi-channel EEG sleep recording nested within an 8-week study period involving continuous wrist-worn actigraphy, sleep diaries and regular brief cognitive tests. Measurement of sleep parameters will be at home thereby obtaining a real-world, naturalistic dataset. Cognitive testing will be repeated at 6 months to stratify participants by longitudinal disease progression. DISCUSSION This study will generate new insights particularly in micro-architectural measures of sleep, circadian patterns and compensatory sleep responses in a population with and without AD neurodegenerative change. It aims to enhance standards of remotely based sleep research through use of a well-phenotyped population and advanced sleep measurement technology.
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Affiliation(s)
- Jonathan Blackman
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Hamish Duncan Morrison
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Victoria Gabb
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Bijetri Biswas
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
| | - Haoxuan Li
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Nicholas Turner
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
| | - Amy Jolly
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - William Trender
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - Adam Hampshire
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - Alan Whone
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
| | - Elizabeth Coulthard
- Bristol Medical School, University of Bristol, Bristol, BS2 8DZ UK
- Bristol Brain Centre, North Bristol NHS Trust, Bristol, BS10 5NB UK
- Bristol Medical School, Learning & Research Building, Southmead Hospital, University of Bristol, Bristol, BS10 5NB UK
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Kim HJ, Fredriksen-Goldsen K, Jung HH. Determinants of Physical Functioning and Health-Related Quality of Life among Sexual and Gender Minority Older Adults with Cognitive Impairment. J Aging Health 2023; 35:138-150. [PMID: 35766354 PMCID: PMC9771910 DOI: 10.1177/08982643221108658] [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] [Indexed: 12/24/2022]
Abstract
Objectives: To examine risk and protective factors predicting physical functioning and physical and psychological health-related quality of life (HRQOL) among sexual and gender minority (SGM) older adults with cognitive impairment. Methods: This study analyzed longitudinal data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study with a sub-sample of 855 SGM older adults who reported difficulties in cognitive performance. Results: Physical functioning and HRQOL linearly declined over time, and the decline of physical functioning was steeper for those with low levels of physical and outdoor leisure activities. The overall levels of physical functioning and HRQOL over time were associated with physical and outdoor leisure activities, optimal sleep, and sufficient food intake. HRQOL was negatively associated with lifetime discrimination and victimization, identity stigma, and smaller social network. Discussion: These findings can be used to develop interventions to improve physical functioning and HRQOL of SGM older adults living with cognitive impairment.
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Affiliation(s)
- Hyun-Jun Kim
- School of Social Work, University of Washington, Seattle, WA, USA
| | | | - Hailey H. Jung
- School of Social Work, University of Washington, Seattle, WA, USA
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11
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Petrovsky DV, Bradt J, McPhillips MV, Sefcik JS, Gitlin LN, Hodgson NA. Tailored Music Listening in Persons With Dementia: A Feasibility Randomized Clinical Trial. Am J Alzheimers Dis Other Demen 2023; 38:15333175231186728. [PMID: 37470678 PMCID: PMC10489003 DOI: 10.1177/15333175231186728] [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] [Indexed: 07/21/2023]
Abstract
Introduction: This study examined the feasibility, acceptability, and preliminary efficacy of tailored music listening intervention on sleep disturbances in older adults with dementia and their caregivers. Methods: We randomly assigned 33 older adults with dementia (mean age 71.7 [SD: 7.1], 72.7% female, 81.8% African American/Black) and their caregivers (mean age 58.4 [SD: 16.7], 72.7% female, 84.8% African American/Black) to a wait-list control or intervention group (NCT04157244). Results: The music intervention was feasible as evidenced by high study measure completion and retention rates (>90%). Recruitment was stopped prematurely due to the COVID-19 pandemic. We found mixed acceptability results from the survey and qualitative interviews with the participants. Both groups improved on objective sleep outcomes of sleep latency and wake sleep after onset. We found a small effect size for sleep duration post-intervention. Discussion: The findings provide preliminary evidence for the feasibility of a tailored music intervention and identified ways to improve its acceptability.
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Affiliation(s)
| | - Joke Bradt
- Drexel University, Philadelphia, PA, USA
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12
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Lahbairi N, Laniepce A, Segobin S, Cabé N, Boudehent C, Vabret F, Rauchs G, Pitel AL. Determinants of health-related quality of life in recently detoxified patients with severe alcohol use disorder. Health Qual Life Outcomes 2022; 20:149. [PMID: 36310156 PMCID: PMC9620657 DOI: 10.1186/s12955-022-02058-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 09/19/2022] [Accepted: 10/03/2022] [Indexed: 11/04/2022] Open
Abstract
Background Health-related quality of life (HRQoL) is an important clinical outcome in Alcohol Use Disorder (AUD) and is considered as a relevant indicator of treatment success. While a better understanding of the factors affecting HRQoL would enable to adjust patients’ care to favour treatment outcome, the determinants of HRQoL in AUD remain unclear. This study aims at describing HRQoL in AUD patients and at identifying its best predictors. Methods 53 recently detoxified patients with severe AUD (sAUD) underwent a cognitive assessment and filled in a HRQoL questionnaire dedicated to AUD patients (Alcohol Quality of Life Scale; AQoLS), as well as questionnaires concerning socio-demographics, alcohol history, sleep quality, depression, anxiety and impulsivity. 38 healthy controls (HC) underwent the same assessment (except AQoLS) in order to identify the altered cognitive and clinical variables that could potentially be determinants of HRQoL in sAUD. Results sAUD patients reported that alcohol affects their HRQoL mainly in the “negative emotions”, “control”, “relationships”, and “sleep” domains. Compared to HC, they were impaired on episodic memory, working memory, executive functions, and processing speed tasks. They also reported lower sleep quality, higher depression, anxiety and impulsivity. No association was found between AQoLS total score and socio-demographics, cognitive performance, or sleep quality in patients. We found a significant correlation between HRQoL and depression/anxiety as well as impulsivity. Anxiety and impulsivity were indeed the only significant predictors of HRQoL, explaining 47.7% of the variance. Conclusion Anxiety and impulsivity are crucial determinants of HRQoL in recently detoxified sAUD patients. Since anxiety and impulsivity are frequent issues in addiction and especially in AUD, they should be particularly considered by clinicians to favour treatment outcomes.
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Affiliation(s)
- Najlaa Lahbairi
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France
| | - Alice Laniepce
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.460771.30000 0004 1785 9671Normandie Univ, UNIROUEN, CRFDP (EA 7475), 76000 Rouen, France
| | - Shailendra Segobin
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France
| | - Nicolas Cabé
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.411149.80000 0004 0472 0160Service d’Addictologie, Centre Hospitalier Universitaire de Caen, 14000 Caen, France ,grid.417831.80000 0004 0640 679XNormandie Univ, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, NEUROPRESAGE Team, (Institut Blood and Brain @ Caen-Normandie), Cyceron, 14000 Caen, France
| | - Céline Boudehent
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.411149.80000 0004 0472 0160Service d’Addictologie, Centre Hospitalier Universitaire de Caen, 14000 Caen, France ,grid.417831.80000 0004 0640 679XNormandie Univ, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, NEUROPRESAGE Team, (Institut Blood and Brain @ Caen-Normandie), Cyceron, 14000 Caen, France
| | - François Vabret
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.411149.80000 0004 0472 0160Service d’Addictologie, Centre Hospitalier Universitaire de Caen, 14000 Caen, France ,grid.417831.80000 0004 0640 679XNormandie Univ, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, NEUROPRESAGE Team, (Institut Blood and Brain @ Caen-Normandie), Cyceron, 14000 Caen, France
| | - Géraldine Rauchs
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.417831.80000 0004 0640 679XNormandie Univ, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, NEUROPRESAGE Team, (Institut Blood and Brain @ Caen-Normandie), Cyceron, 14000 Caen, France
| | - Anne-Lise Pitel
- grid.412043.00000 0001 2186 4076Neuropsychologie et Imagerie de la Mémoire Humaine, Normandie Univ, UNICAEN, PSL Université de Paris, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, 14000 Caen, France ,grid.417831.80000 0004 0640 679XNormandie Univ, UNICAEN, INSERM, U1237, PhIND Physiopathology and Imaging of Neurological Disorders, NEUROPRESAGE Team, (Institut Blood and Brain @ Caen-Normandie), Cyceron, 14000 Caen, France
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13
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Hwang Y, McPhillips MV, Talwar S, Perez GA, Hodgson NA. The Relationship Between Light Exposure before Bedtime and Daytime Sleepiness Among People Living With Cognitive Impairment. J Appl Gerontol 2022; 41:1686-1694. [PMID: 35341367 PMCID: PMC9232882 DOI: 10.1177/07334648221083658] [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] [Indexed: 11/15/2022] Open
Abstract
While sleep disturbances are common in people living with cognitive impairment, little is known about the influence of evening light exposure on their sleep. The purpose of this study was to examine the relationship between evening light exposure in natural living environment and daytime sleepiness in community residing people living with cognitive impairment. A secondary data analysis was conducted using the baseline data of the Healthy Patterns Clinical Trial. Actiwatch Spectrum Plus was used to collect information on the average white light intensity of 4 hours before sleep for three consecutive days. Multivariate regression analyses were used. Among 173 participants, the average light intensity during evening was 80.25 ± 123.04 lux. After controlling for covariates, greater intensity of light exposure during evening was related to excessive daytime sleepiness (β = 0.211, p = .004). The results of our study suggest exposure to light during evening may disturb sleep and subsequently influence daytime sleepiness the following day.
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Affiliation(s)
- Yeji Hwang
- University of Pennsylvania School of Nursing, Philadelphia, PA, United States
| | | | - Sonia Talwar
- University of Pennsylvania School of Nursing, Philadelphia, PA, United States
| | - G. Adriana Perez
- University of Pennsylvania School of Nursing, Philadelphia, PA, United States
| | - Nancy A. Hodgson
- University of Pennsylvania School of Nursing, Philadelphia, PA, United States
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14
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Felekoğlu E, Özalevli S, Yakut H, Aktan R, Yener G. Investigation of the Factors Affecting Quality of Life in Patients with Mild to Moderate Alzheimer's Disease in Terms of Patients and Caregivers. ACTA ACUST UNITED AC 2021; 57:medicina57101067. [PMID: 34684104 PMCID: PMC8538831 DOI: 10.3390/medicina57101067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 09/27/2021] [Accepted: 10/01/2021] [Indexed: 11/16/2022]
Abstract
Background and Objectives: As with other chronic diseases with limited medical treatment, the most important goal of Alzheimer’s disease (AD) treatment is to provide a better quality of life (QoL). The purpose of this study was to investigate the factors affecting the QoL of patients with mild to moderate AD in terms of patients and caregivers. Materials and Methods: Seventy-three home-dwelling patients with AD and their caregivers participated in this prospective, cross-sectional study. The patients were asked about their cognition, depression and a self-rating part of a QoL questionnaire. The caregivers were asked about their patients’ sociodemographic information, sleepiness, activities of daily living and a proxy rating part of a QoL questionnaire. Results: The self-rated QoL was higher than that provided by the proxy rating. Cognition (p = 0.02), sleepiness (p < 0.01) and depression (p = 0.03) were correlated with the self-rated QoL, while the patient’s independence level in activities of daily living was correlated with the proxy-rated QoL (p < 0.05). In regard to predicting QoL according to linear regression analysis, the following were statistically significant: depression was for total score, depression and cognition were for the self-rating and instrumental activities of daily living was for the proxy rating (p < 0.01). Conclusions: While individual factors such as psychology are an important determinant of QoL for patients with AD, objective conditions such as the independence of the patient in daily life are important for the caregiver. While evaluating the quality of life of AD patients, it is important to remember that patients and caregivers have different priorities, and the priorities of both should be taken into account when planning a treatment program.
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Affiliation(s)
- Elvan Felekoğlu
- Graduate School of Health Sciences, Dokuz Eylül University, Izmir 35340, Turkey
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Izmir Katip Çelebi University, Izmir 35620, Turkey
- Correspondence: ; Tel.: +90-232-3293535-4840
| | - Sevgi Özalevli
- School of Physical Therapy and Rehabilitation, Dokuz Eylül University, Izmir 35340, Turkey;
| | - Hazal Yakut
- Department of Physiotherapy, Faculty of Health Sciences, Eskişehir Osmangazi University, Eskişehir 26480, Turkey;
| | - Rıdvan Aktan
- Department of Physiotherapy, Izmir University of Economics, Izmir 35330, Turkey;
| | - Görsev Yener
- Faculty of Medicine, Izmir University of Economics, Izmir 35330, Turkey;
- Department of Neurology, Faculty of Medicine, Dokuz Eylul University, Izmir 35340, Turkey
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15
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Effects on sleep from group activity with a robotic seal for nursing home residents with dementia: a cluster randomized controlled trial. Int Psychogeriatr 2021; 33:1045-1056. [PMID: 32985396 DOI: 10.1017/s1041610220001787] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Sleep disturbances are common in people with dementia and increase with the severity of the disease. Sleep disturbances are complex and caused by several factors and are difficult to treat. There is a need for more robust and systematic studies dealing with sleep disturbances in older people with dementia. The aim of this study was to investigate effects from robot-assisted (Paro) group activity on sleep patterns in nursing home (NH) residents with dementia. DESIGN A cluster randomized controlled trial. SETTING Special care units in 10 NH in Norway. PARTICIPANTS A total of 60 participants over 65 years with dementia were recruited. Thirty participants were recruited to the intervention group and 30 participants to the control group. INTERVENTION Participants participated in group activity with Paro for 30 minutes twice a week over 12 weeks or in control group (treatment as usual). MEASUREMENTS Sleep-wake patterns were assessed objectively by 7 days of wrist actigraphy before and after the intervention. Data were collected between March 2013 and September 2014. Data were analyzed using mixed models. RESULTS Positive effects on change in sleep were found in the intervention group as compared with the control group. The intervention group increased percentage of sleep efficiency, increased the amount of total sleep time and reduced number of nocturnal awakenings. In addition, a significant effect was found in reduced awakenings after sleep onset. CONCLUSIONS Social stimulation through engaging group activity could contribute to improved sleep in people with dementia in NH. Increased sleep efficiency and total sleep time, in addition to fewer night awakenings, affect central indicators of good sleep quality across the life span. Improved sleep quality will also affect quality of life and comorbidities in vulnerable groups. We believe group activity with Paro to be an accessible and feasible non-pharmacological treatment for those who enjoy Paro.
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16
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Byron N, Semenova A, Sakata S. Mutual Interactions between Brain States and Alzheimer's Disease Pathology: A Focus on Gamma and Slow Oscillations. BIOLOGY 2021; 10:707. [PMID: 34439940 PMCID: PMC8389330 DOI: 10.3390/biology10080707] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/17/2021] [Accepted: 07/21/2021] [Indexed: 12/26/2022]
Abstract
Brain state varies from moment to moment. While brain state can be defined by ongoing neuronal population activity, such as neuronal oscillations, this is tightly coupled with certain behavioural or vigilant states. In recent decades, abnormalities in brain state have been recognised as biomarkers of various brain diseases and disorders. Intriguingly, accumulating evidence also demonstrates mutual interactions between brain states and disease pathologies: while abnormalities in brain state arise during disease progression, manipulations of brain state can modify disease pathology, suggesting a therapeutic potential. In this review, by focusing on Alzheimer's disease (AD), the most common form of dementia, we provide an overview of how brain states change in AD patients and mouse models, and how controlling brain states can modify AD pathology. Specifically, we summarise the relationship between AD and changes in gamma and slow oscillations. As pathological changes in these oscillations correlate with AD pathology, manipulations of either gamma or slow oscillations can modify AD pathology in mouse models. We argue that neuromodulation approaches to target brain states are a promising non-pharmacological intervention for neurodegenerative diseases.
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Affiliation(s)
- Nicole Byron
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK
| | - Anna Semenova
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK
| | - Shuzo Sakata
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK
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17
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Prins AJ, Scherder EJA, van Straten A, Zwaagstra Y, Milders MV. Sensory Stimulation for Nursing-Home Residents: Systematic Review and Meta-Analysis of Its Effects on Sleep Quality and Rest-Activity Rhythm in Dementia. Dement Geriatr Cogn Disord 2021; 49:219-234. [PMID: 32920562 DOI: 10.1159/000509433] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/02/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Disrupted sleep-wake cycles might be associated with an exacerbation of behavioural disturbances and accelerate disease progression in dementia. The effect of sensory stimulation for improving sleep quality is unclear. METHODS A systematic literature search was performed and all studies examining the effects of a sensory stimulation intervention (i.e. bright light, massage, acupuncture, animal-assisted interventions) on rest-activity rhythm (RAR) and/or nocturnal restlessness in nursing-home residents with dementia were included. RESULTS Sensory stimulation was shown to improve nocturnal behavioural restlessness as well as sleep duration and continuation, but the effect on the number of awakenings, RAR, and daytime sleep was negligible. Notable was the high heterogeneity between studies regarding treatments and patients' characteristics and sleep parameters. CONCLUSION Sleep quality and nocturnal restlessness in nursing-home residents with dementia may benefit from sensory stimulation. An environment with sensory stimulation may prevent or improve sleep disturbances in nursing homes, and thereby contribute to a better quality of life for their patients.
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Affiliation(s)
- Angela Joanna Prins
- Atlant (Elderly Care), Beekbergen, The Netherlands, .,Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands,
| | - Erik J Anton Scherder
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Annemieke van Straten
- Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands
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18
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Kent BA, Feldman HH, Nygaard HB. Sleep and its regulation: An emerging pathogenic and treatment frontier in Alzheimer's disease. Prog Neurobiol 2021; 197:101902. [PMID: 32877742 PMCID: PMC7855222 DOI: 10.1016/j.pneurobio.2020.101902] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/19/2020] [Accepted: 08/18/2020] [Indexed: 02/07/2023]
Abstract
A majority of patients with Alzheimer's disease (AD) experience some form of sleep disruption, including nocturnal sleep fragmentation, increased daytime napping, decreased slow-wave sleep (SWS, stage N3), and decreased rapid-eye-movement sleep (REM). Clinical studies are investigating whether such sleep disturbances are a consequence of the underlying disease, and whether they also contribute to the clinical and pathological manifestations of AD. Emerging research has provided a direct link between several of these sleep disruptions and AD pathophysiology, suggesting that treating sleep disorders in this population may target basic mechanisms of the disease. Here, we provide a comprehensive review of sleep disturbances associated with the spectrum of AD, ranging from the preclinical stages through dementia. We discuss how sleep interacts with AD pathophysiology and, critically, whether sleep impairments can be targeted to modify the disease course in a subgroup of affected AD patients. Ultimately, larger studies that fully utilize new diagnostic and experimental tools will be required to better define the most relevant sleep disturbance to target in AD, the interventions that best modulate this target symptom, and whether successful early intervention can modify AD risk and prevent dementia.
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Affiliation(s)
- Brianne A Kent
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Division of Neurology, University of British Columbia, Vancouver, Canada.
| | - Howard H Feldman
- Division of Neurology, University of British Columbia, Vancouver, Canada; Department of Neurosciences, University of California, San Diego, La Jolla, USA
| | - Haakon B Nygaard
- Division of Neurology, University of British Columbia, Vancouver, Canada
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19
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Abstract
AbstractAgeing is associated with reduced muscle mass, strength, flexibility and balance, resulting in a poor quality of life (QOL). Past studies have occurred in highly controlled laboratory settings which provide strong support to determine whether similar gains can be made in community programmes. Twenty participants were enrolled in an eight-week community-based resistance training programme (mean age = 61.3 (standard error (SE) = 0.9) years); Body Mass Index = 32.0 (SE = 1.3) kg/m2). All participants completed surveys to assess outcomes associated with QOL. Given the relationship between muscle function and nerve health, nerve conduction studies (NCS) were also conducted in a separate group of participants (mean age = 64.9 (SE = 2.0) years; Body Mass Index = 32.6 (SE = 1.9) kg/m2). This community-based training programme significantly improved QOL measures in older adults (p< 0.001). Although weight loss was not the primary outcome of the study, participants reduced their body weights (p< 0.001), by primarily reducing fat mass (p= 0.007) while maintaining muscle mass. Significant improvements were observed in muscle strength (2.2%), flexibility and balance (3.2–464.2%,p⩽ 0.05 for all). Improvements were also observed in plasma glucose (p= 0.05), haemoglobin A1C (p= 0.06) and aldolase enzyme levels (p< 0.001). Scores for surveys on memory and sleep improved (p< 0.05). Improved QOL was associated with increased lean mass (r= −0.714,p= 0.002), decreased fat mass (r= −0.702,p= 0.003) and improved flexibility and balance (r= −0.627,p= 0.008). An eight-week, community-based resistance training programme significantly improved QOL in older adults. Influence on the lipid profile and NCS still needs further investigation.
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20
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Petrovsky DV, Gooneratne NS, Bradt J, Gitlin LN, Hodgson NA. Tailored music listening intervention to reduce sleep disturbances in older adults with dementia: Research protocol. Res Nurs Health 2020; 43:557-567. [PMID: 33136301 PMCID: PMC7945958 DOI: 10.1002/nur.22081] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 08/20/2020] [Accepted: 10/14/2020] [Indexed: 11/11/2022]
Abstract
Sleep disruption in older adults living with Alzheimer's disease and related dementias (ADRD) is debilitating and contributes to increased institutionalization, reduced cognitive function, and accelerated disease progression. Furthermore, sleep disruption is linked to poor health outcomes in caregivers, such as decreased quality of life and increased caregiver burden. Given the potentially harmful side effects of pharmacologic treatment, nonpharmacologic approaches, such as music, may provide a safer alternative to reducing sleep disruption in this vulnerable population. A growing body of literature suggests that calming tailored music may improve sleep quality in older adults with memory loss, but its efficacy has not been demonstrated in older adults with ADRD in the community, where most older adults with ADRD live. If shown to be feasible and acceptable, tailored music interventions can then be tested for efficacy in reducing sleep disruption. This protocol details a wait-list randomized controlled trial (NCT04157244), the purpose of which is to test the feasibility, acceptability, and examine the preliminary efficacy of a tailored music listening intervention in older adults with ADRD who report sleep disruption. Music selections will be tailored to the music genre preferences of older adults with ADRD and account for known sleep-inducing properties. The feasibility of processes that is key to the success of the subsequent study will be examined. Preliminary efficacy of the intervention will be assessed using objective (actigraphy) and subjective (proxy-reported) sleep quality measures. In addition, qualitative data will be solicited, examining the acceptability and satisfaction with the intervention by individuals with ADRD.
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Affiliation(s)
- Darina V Petrovsky
- Behavioral Health Sciences Department, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Nalaka S Gooneratne
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Joke Bradt
- College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania, USA
| | - Laura N Gitlin
- College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania, USA
| | - Nancy A Hodgson
- Behavioral Health Sciences Department, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
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21
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Banning LCP, Janssen EPCJ, Hamel REG, de Vugt M, Köhler S, Wolfs CAG, Oosterveld SM, Melis RJF, Olde Rikkert MGM, Kessels RPC, Pijnenburg YAL, Koene T, van der Flier WM, Scheltens P, Visser PJ, Verhey FRJ, Aalten P, Ramakers IHGB. Determinants of Cross-Sectional and Longitudinal Health-Related Quality of Life in Memory Clinic Patients Without Dementia. J Geriatr Psychiatry Neurol 2020; 33:256-264. [PMID: 31645191 PMCID: PMC7361660 DOI: 10.1177/0891988719882104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To identify determinants within 3 different domains (ie, somatic comorbidities, cognitive functioning, and neuropsychiatric symptoms [NPS]) of health-related quality of life (HRQoL) over time in memory clinic patients without dementia. METHODS This longitudinal multicenter cohort study with a 3-year observation period recruited 315 individuals (age: 69.8 ± 8.6, 64.4% males, Mini-Mental State Examination score 26.9 ± 2.6). A multivariable explanatory model was built using linear mixed effects models (forward selection per domain) to select determinants for self-perceived HRQoL over time, as measured by the EuroQoL-5D visual analogue scale (EQ VAS). RESULTS Mean HRQoL at study entry was 69.4 ± 15.6. The presence of agitation, appetite and eating abnormalities, and eyes/ears/nose (ie, sensory impairment) comorbidities were associated with a change in HRQoL over time. Agitation was most strongly associated with HRQoL over time. CONCLUSIONS The association of somatic comorbidities and NPS in memory clinic patients with course of HRQoL shows that these should receive more awareness, detection, and monitoring by clinicians.
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Affiliation(s)
- Leonie C. P. Banning
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Eveline P. C. J. Janssen
- Department of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands,Mondriaan Department of Old Age Psychiatry, Heerlen, the Netherlands
| | | | - Marjolein de Vugt
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands,Department of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Claire A. G. Wolfs
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands,Department of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Saskia M. Oosterveld
- Department of Geriatrics & Radboudumc Alzheimer Center, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rene J. F. Melis
- Department of Geriatrics & Radboudumc Alzheimer Center, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marcel G. M. Olde Rikkert
- Department of Geriatrics & Radboudumc Alzheimer Center, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Roy P. C. Kessels
- Department of Medical Psychology & Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, the Netherlands,Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, the Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VUmc Medical Center, Amsterdam, the Netherlands
| | - Ted Koene
- Department of Medical Psychology and Neuroscience Campus Amsterdam, VUmc Alzheimer Center, VUmc Medical Center, Amsterdam, the Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VUmc Medical Center, Amsterdam, the Netherlands,Department of Epidemiology & Biostatistics, VUmc Medical Center, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VUmc Medical Center, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands,Alzheimer Center & Department of Neurology, Neuroscience Campus Amsterdam, VUmc Medical Center, Amsterdam, the Netherlands
| | - Frans R. J. Verhey
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands,Department of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Pauline Aalten
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Inez H. G. B. Ramakers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands,Inez H. G. B. Ramakers, Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands.
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22
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Predictors of change over time in subjective daytime sleepiness among older adult recipients of long-term services and supports. Int Psychogeriatr 2020; 32:849-861. [PMID: 32524932 PMCID: PMC7455051 DOI: 10.1017/s1041610220000782] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Daytime sleepiness is associated with multiple negative outcomes in older adults receiving long-term services and supports (LTSS) including reduced cognitive performance, need for greater assistance with activities of daily living and decreased social engagement. The purpose of this study was to identify predictors of change in subjective daytime sleepiness among older adults during their first 2 years of receiving LTSS. DESIGN AND SETTING Secondary analysis of data from a prospective longitudinal study of older adults who received LTSS in their homes, assisted living communities or nursing homes interviewed at baseline and every 3 months for 24 months. PARTICIPANTS 470 older adults (60 years and older) newly enrolled in LTSS (mean = 81, SD = 8.7; range 60-98; 71% women). MEASUREMENTS Subjective daytime sleepiness was assessed every 3 months through 2 years using the Epworth Sleepiness Scale. Multiple validated measures were used to capture health-related quality of life characteristics of enrollees and their environment, including symptom status (Symptom Bother Scale), cognition (Mini Mental Status Exam), physical function (Basic Activities of Daily Living), physical and mental general health, quality of life (Dementia Quality of Life, D-QoL), depressive symptoms (Geriatric Depression Scale) and social support (Medical Outcomes Survey-Social Support). RESULTS Longitudinal mixed effects modeling was used to examine the relationship between independent variables and continuous measure of daytime sleepiness. Increased feelings of belonging, subscale of the D-QoL (effect size = -0.006, 95% CI: -0.013 to -0.0001, p = 0.045) and higher number of depressive symptoms (effect size = -0.002, 95% CI: -0.004 to -0.001, p = 0.001) at baseline were associated with slower rates of increase in daytime sleepiness over time. CONCLUSIONS Comprehensive baseline and longitudinal screening for changes in daytime sleepiness along with depression and perceived quality of life should be used to inform interventions aimed at reducing daytime sleepiness among older adults receiving LTSS.
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23
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Sleep Quality and Health-Related Quality of Life in Older People With Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer Disease. J Nerv Ment Dis 2020; 208:387-396. [PMID: 31977718 DOI: 10.1097/nmd.0000000000001137] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
We aimed to investigate sleep quality and health-related quality of life (HRQOL) in older adults with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and Alzheimer disease (AD). A total of 221 participants were divided into the following five groups: normal controls (NCs), SCD without memory concerns (SCD-0), SCD with memory concerns (SCD-1), MCI, and AD according to their cognitive status. Compared with NC, individuals with SCD-0, SCD-1, MCI, and AD had more sleep problems and reduced HRQOL. Participants with poor sleep quality had an increased risk of cognitive impairment compared with participants with good sleep quality. Within all five subgroups, individuals with poor sleep quality reported more difficulties in HRQOL than individuals with good sleep quality. Future studies employing a longitudinal design, larger samples, and objective evaluation tools are needed.
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24
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You JC, Jones E, Cross DE, Lyon AC, Kang H, Newberg AB, Lippa CF. Association of β-Amyloid Burden With Sleep Dysfunction and Cognitive Impairment in Elderly Individuals With Cognitive Disorders. JAMA Netw Open 2019; 2:e1913383. [PMID: 31617927 PMCID: PMC6806437 DOI: 10.1001/jamanetworkopen.2019.13383] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE Evidence shows that sleep dysfunction and β-amyloid (Aβ) deposition work synergistically to impair brain function in individuals with normal cognition, increasing the risk of developing dementia later in life. However, whether Aβ continues to play an integral role in sleep dysfunction after the onset of cognitive decline in individuals with dementia is unclear. OBJECTIVE To determine whether Aβ deposition in the brain is associated with subjective measures of sleep quality and cognition in elderly individuals with cognitive disorders. DESIGN, SETTING, AND PARTICIPANTS A nested survey study was conducted at the Cognitive Disorders and Comprehensive Alzheimer Disease Center of Thomas Jefferson University Hospital in Philadelphia, Pennsylvania. Participants included patients aged 65 years and older with cognitive disorders verified by neuropsychological testing. Eligible participants were identified from a referral center-based sample of patients who underwent fluorine 18-labeled florbetaben positron emission tomography imaging at Thomas Jefferson University Hospital as part of the multicenter Imaging Dementia-Evidence for Amyloid Scanning study. Data collection and analysis occurred between November 2018 and March 2019. MAIN OUTCOMES AND MEASURES Sleep quality was measured via responses to sleep questionnaires, Aβ deposition was measured via fluorine 18-labeled florbetaben positron emission tomography, and cognition was measured via Mini-Mental State Examination (MMSE) performance. RESULTS Of the 67 eligible participants, 52 (77.6%) gave informed consent to participate in the study. Of the 52 enrolled participants (mean [SD] age, 76.6 [7.4] years), 27 (51.9%) were women. Daytime sleepiness was associated with Aβ deposition in the brainstem (B = 0.0063; 95% CI, 0.001 to 0.012; P = .02), but not MMSE performance (B = -0.01; 95% CI, -0.39 to 0.37; P = .96). The number of nocturnal awakenings was associated with Aβ deposition in the precuneus (B = 0.11; 95% CI, 0.06 to 0.17; P < .001) and poor MMSE performance (B = -2.13; 95% CI, -3.13 to -1.13; P < .001). Mediation analysis demonstrated an indirect association between Aβ deposition and poor MMSE performance that relied on nocturnal awakenings as an intermediary (B = -3.99; 95% CI, -7.88 to -0.83; P = .01). CONCLUSIONS AND RELEVANCE Nighttime sleep disruption may mediate the association between Aβ and cognitive impairment, suggesting that there is an underlying sleep-dependent mechanism that links Aβ burden in the brain to cognitive decline. Further elucidation of this mechanism may improve understanding of disease processes associated with Aβ accumulation.
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Affiliation(s)
- Jason C. You
- Cognitive Disorders and Comprehensive Alzheimer’s Disease Center, Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
- Department of Internal Medicine, Lankenau Medical Center, Wynnewood, Pennsylvania
| | - Erica Jones
- Cognitive Disorders and Comprehensive Alzheimer’s Disease Center, Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Devon E. Cross
- Cognitive Disorders and Comprehensive Alzheimer’s Disease Center, Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Abigail C. Lyon
- Cognitive Disorders and Comprehensive Alzheimer’s Disease Center, Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Hyunseung Kang
- Department of Statistics, University of Wisconsin-Madison, Madison
| | - Andrew B. Newberg
- Marcus Institute for Integrative Health, Department of Integrative Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Carol F. Lippa
- Cognitive Disorders and Comprehensive Alzheimer’s Disease Center, Department of Neurology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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