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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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Influence of Snoring on the Incidence of Metabolic Syndrome: A Community-Based Prospective Cohort Study in Rural Northeast China. J Clin Med 2023; 12:jcm12020447. [PMID: 36675375 PMCID: PMC9866208 DOI: 10.3390/jcm12020447] [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: 12/08/2022] [Revised: 12/28/2022] [Accepted: 01/03/2023] [Indexed: 01/08/2023] Open
Abstract
In recent years, there has been an increase in the incidence of metabolic syndrome (MetS) in rural China. Thus, for better intervention, it is necessary to identify the possible risk factors of MetS. This community-based prospective cohort study was performed to evaluate the relationship between the snoring status and incidence of MetS. In this Northeast China rural cardiovascular health study, 4980 residents aged ≥35 years (2586 men and 2394 women; follow-up proportion: 87.5%) at baseline were recruited between 2012 and 2013 and were followed up between 2015 and 2017. The primary outcome was the incidence of MetS, as defined by the unified criteria for MetS defined in 2009. The residents were classified based on their snoring status, and the outcomes were compared between the two groups. The odds ratio (OR) for MetS incidence was estimated using a logistic regression model and adjusted for confounding factors. With a median follow-up duration of 4.6 years, the MetS incidence was higher among the snorers (men, 26.2%; women, 33.5%) than in the non-snorers (men, 19.7%; women, 23.2%). The participants' diastolic blood pressure was increased at follow-up as compared with the baseline values among the male snorers; however, a decrease was noted among the male non-snorers. Similarly, the female snorers had higher blood glucose levels during the follow-up, whereas the non-snorers had lower blood sugar levels. A significant association was noted between snoring and the incidence of MetS (adjusted OR = 1.51; 95% confidence interval = 1.32-1.74). Moreover, the incidence of severe snoring increased with increased levels of snoring, with severe snorers having an OR twice as high as that of the non-snorers (adjusted OR = 2.10; 95% confidence interval = 1.38-3.20). Overall, snoring was independently associated with a higher incidence of newly diagnosed MetS in rural Northeast China. Thus, more attention should be paid to residents with snoring problems.
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Zhao M, Chen Z, Tian F, Xu T. Potentially Inappropriate Medication Among People With Dementia in China: A Nationwide Cross-Sectional Study. Front Pharmacol 2022; 13:929584. [PMID: 35770092 PMCID: PMC9234126 DOI: 10.3389/fphar.2022.929584] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: The purpose of this study was to explore the prevalence of potentially inappropriate medication (PIM) among older outpatients (age ≥ 65 years old) with dementia in eight cities in China using the AGS Beers criteria of 2019 and to identify the potential factor increasing the number of PIMs.Methods: A cross-sectional study about PIM in older outpatients with dementia from January 2020 to December 2020 was carried out in eight cities in China, Chengdu, Beijing, Guangzhou, Shanghai, Shenyang, Tianjin, Zhengzhou, and Hangzhou, distributing five major geographical regions in China (east, west, north, south, central). The diagnosis of dementia was based on the International Classification of Diseases (ICD-10) to identify. Based on the 2019 AGS Beers criteria, the PIM prescriptions were evaluated. The identification of potential factors was completed using a binary logistic regression model.Results: Of 18,624 older outpatients with dementia, 3.52% were detected with 1 PIM, and 35.91% received at least two PIMs. The antipsychotic drugs quetiapine and olanzapine were most frequently prescribed in patients with PIM, accounting for 8.01 and 7.36%, respectively. Logistic regression analyses showed that female patients with dementia aged >80 years who took more medications were exposed easily to PIM use.Conclusion: PIM use among older outpatients with dementia in China is highly prevalent, and the associated risk factors were increasing age, female sex, and number of medications. The most frequently prescribed drugs by clinicians were anpsychotropic drugs, which were much more frequent than other drugs.
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Affiliation(s)
- Mengnan Zhao
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Zhaoyan Chen
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
| | - Fangyuan Tian
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Xu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
- West China School of Medicine, Sichuan University, Chengdu, China
- *Correspondence: Ting Xu,
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Ward SA, Storey E, Gasevic D, Naughton MT, Hamilton GS, Trevaks RE, Wolfe R, O'Donoghue FJ, Stocks N, Abhayaratna WP, Fitzgerald S, Orchard SG, Ryan J, McNeil JJ, Reid CM, Woods RL. Sleep-disordered breathing was associated with lower health-related quality of life and cognitive function in a cross-sectional study of older adults. Respirology 2022; 27:767-775. [PMID: 35580042 PMCID: PMC9540665 DOI: 10.1111/resp.14279] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/14/2022] [Indexed: 12/14/2022]
Abstract
Background and objective The clinical significance of sleep‐disordered breathing (SDB) in older age is uncertain. This study determined the prevalence and associations of SDB with mood, daytime sleepiness, quality of life (QOL) and cognition in a relatively healthy older Australian cohort. Methods A cross‐sectional analysis was conducted from the Study of Neurocognitive Outcomes, Radiological and retinal Effects of Aspirin in Sleep Apnoea. Participants completed an unattended limited channel sleep study to measure the oxygen desaturation index (ODI) to define mild (ODI 5–15) and moderate/severe (ODI ≥ 15) SDB, the Centre for Epidemiological Studies Scale, the Epworth Sleepiness Scale, the 12‐item Short‐Form for QOL and neuropsychological tests. Results Of the 1399 participants (mean age 74.0 years), 36% (273 of 753) of men and 25% (164 of 646) of women had moderate/severe SDB. SDB was associated with lower physical health‐related QOL (mild SDB: beta coefficient [β] −2.5, 95% CI −3.6 to −1.3, p < 0.001; moderate/severe SDB: β −1.8, 95% CI −3.0 to −0.6, p = 0.005) and with lower global composite cognition (mild SDB: β −0.1, 95% CI −0.2 to 0.0, p = 0.022; moderate/severe SDB: β −0.1, 95% CI −0.2 to 0.0, p = 0.032) compared to no SDB. SDB was not associated with daytime sleepiness nor depression. Conclusion SDB was associated with lower physical health‐related quality of life and cognitive function. Given the high prevalence of SDB in older age, assessing QOL and cognition may better delineate subgroups requiring further management, and provide useful treatment target measures for this age group. The clinical implications for sleep‐disordered breathing (SDB) in older age remain uncertain. This study of healthy community‐dwelling older Australians reports significant associations between SDB and a lower physical health‐related quality of life, in contrast to other studies of SDB in older age, and between SDB and lower cognitive function. See relatededitorial
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Affiliation(s)
- Stephanie A Ward
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria.,Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Kensington, New South Wales.,Department of Geriatric Medicine, Prince of Wales Hospital, Randwick, New South Wales
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Danijela Gasevic
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria.,Centre for Global Health Research, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Matthew T Naughton
- Department of Respiratory Medicine, Alfred Hospital, Melbourne, Victoria, Australia.,The Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Garun S Hamilton
- Department of Lung, Sleep, Allergy and Immunology, Monash Health, Clayton, Victoria, Australia.,School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Ruth E Trevaks
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Fergal J O'Donoghue
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia.,Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Nigel Stocks
- Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Walter P Abhayaratna
- College of Health and Medicine, Australian National University, Acton, Australian Capital Territory, Australia.,Academic Unit of Internal Medicine, Canberra Hospital, Garran, Australian Capital Territory, Australia
| | - Sharyn Fitzgerald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Suzanne G Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - John J McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
| | - Christopher M Reid
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria.,Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Robyn L Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria
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Dementia in military and veteran populations: a review of risk factors-traumatic brain injury, post-traumatic stress disorder, deployment, and sleep. Mil Med Res 2021; 8:55. [PMID: 34645526 PMCID: PMC8515715 DOI: 10.1186/s40779-021-00346-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 09/26/2021] [Indexed: 12/13/2022] Open
Abstract
The military population face a unique set of risk factors that may increase the risk of being diagnosed with dementia. Traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD) have a higher prevalence in this group in comparison to the civilian population. By delving into the individual relationships between TBI and dementia, and PTSD and dementia, we are able to better explore dementia in the military and veteran populations. While there are some inconsistencies in results, the TBI-dementia association has become more widely accepted. Moderate-to-severe TBI has been found to increase the risk of being diagnosed with Alzheimer's disease. A correlation between PTSD and dementia has been established, however, whether or not it is a causal relationship remains unclear. Factors such as blast, combat and chemical exposure may occur during a deployment, along with TBI and/or PTSD diagnosis, and can impact the risk of dementia. However, there is a lack of literature exploring the direct effects of deployment on dementia risk. Sleep problems have been observed to occur in those following TBI, PTSD and deployment. Poor sleep has been associated with possible dementia risk. Although limited studies have focused on the link between sleep and dementia in military and veteran populations, sleep is a valuable factor to study due to its association and interconnection with other military/veteran factors. This review aims to inform of various risk factors to the cognitive health of military members and veterans: TBI, PTSD, deployment, and sleep.
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West NA, Johnson DA, Lutsey PL, Mosley TH, Redline S. Cognition and 20-year subsequent sleep disturbances. Sleep Health 2021; 7:631-637. [PMID: 33750660 PMCID: PMC9829416 DOI: 10.1016/j.sleh.2021.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/24/2021] [Accepted: 01/26/2021] [Indexed: 01/12/2023]
Abstract
INTRODUCTION There is a paucity of data exploring the extent that preclinical cognitive changes are predictive of subsequent sleep outcomes. METHODS Logistic regression models were used to evaluate data from a cohort of 196 African American adults who had measures of cognitive function assessed at 2 time points during a 20-year period across the mid- to late-life transition. Cognitive testing included the Delayed Word Recall, the Digit Symbol Substitution, and the Word Fluency tests, which were summarized as a composite cognitive z-score. Sleep apnea was measured by in-home sleep apnea testing and sleep duration and quality were derived from 7-day wrist actigraphy at the end of the study period. RESULTS A one standard deviation (SD) lower composite cognitive z-score at baseline was significantly associated with greater odds of low sleep efficiency (<85%) (odds ratio [OR] = 1.85, 95% confidence interval [CI] = 1.13, 3.04) and greater odds of increased wakefulness after sleep onset time (WASO; >60 minutes) (OR = 1.65, 95% CI = 1.05, 2.60) in adjusted models. A one SD faster rate of cognitive decline over the study period was significantly associated with greater odds of low sleep efficiency (OR = 1.68, 95% CI = 1.04, 2.73), greater odds of sleep fragmentation (>35%); (OR = 1.73, 95% CI = 1.05, 2.85), and greater odds of increased WASO (OR = 1.85, 95% CI = 1.15, 2.95) in adjusted models. Neither baseline cognitive z-score nor rate of cognitive decline was associated with sleep apnea or the total average sleep duration. CONCLUSION Cognition at baseline and change over time predicts sleep quality and may reflect common neural mechanisms and vulnerabilities.
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Affiliation(s)
- Nancy A West
- Division of Epidemiology, University of Utah, Salt Lake City, Utah, USA.
| | - Dayna A Johnson
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Thomas H Mosley
- Division of Geriatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
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Ury E. Supporting older people with dementia to sleep well while in hospital. Nurs Older People 2021; 33:14-19. [PMID: 34231346 DOI: 10.7748/nop.2021.e1316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2021] [Indexed: 11/09/2022]
Abstract
Optimal sleep is essential for health, well-being and recovery from illness but can be challenging to achieve in the acute hospital setting. Older people with dementia may find it particularly challenging to sleep well in the unfamiliar and disruptive environment of a hospital ward. Suboptimal sleep may potentially accelerate the progression of dementia. Conversely, optimal sleep may slow disease progression. Nursing staff who care for older people with dementia in hospital therefore need to find ways of supporting them to sleep well. This article explores the causes and consequences of suboptimal sleep in hospitalised older people with dementia and discusses evidence-based interventions that nursing staff can use to support these patients to sleep well, including person-centred sleep care, changes to sleep hygiene, environmental adaptations and changes to medicine regimens.
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Affiliation(s)
- Ela Ury
- School of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, England
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de Chazal P, Cistulli PA, Naughton MT. The future of sleep-disordered breathing: A public health crisis. Respirology 2020; 25:688-689. [PMID: 32410274 DOI: 10.1111/resp.13839] [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: 04/16/2020] [Accepted: 04/27/2020] [Indexed: 11/27/2022]
Abstract
Find the whole series here https://onlinelibrary.wiley.com/doi/toc/10.1111/(ISSN)1440-1843.new-frontiers-in-sleep-disordered-breathing See cover image.
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Affiliation(s)
- Philip de Chazal
- Charles Perkins Centre and School of Biomedical Engineering, The University of Sydney, Sydney, NSW, Australia
| | - Peter A Cistulli
- Charles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Sleep Health and Research, Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Matthew T Naughton
- Department of Respiratory Medicine, The Alfred Hospital, Melbourne, VIC, Australia.,Department of Medicine, Monash University, Melbourne, VIC, Australia
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