Prevalence of sleep-related breathing disorders and associated risk factors among people with dementia: A meta-analysis

Aini, Nur; Chu, Hsin; Banda, Kondwani Joseph; Chen, Ruey; Lee, Tso-Ying; Pien, Li-Chung; Liu, Doresses; Lai, Yueh-Jung; Kang, Xiao Linda; Chou, Kuei‐Ru

doi:10.1016/j.sleep.2023.01.020

Cited by 18 publications

(6 citation statements)

References 41 publications

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“…The prevalence of OSA is relatively high among people with hypertension ( 12 , 13 ), type 2 diabetes ( 14 ), hyperlipidemia ( 14 ), COPD ( 15 ), and cognitive decline ( 12 , 16 – 18 ). This high prevalence has also been found in patients with lung cancer.…”

Section: Epidemiologymentioning

confidence: 99%

A review of obstructive sleep apnea and lung cancer: epidemiology, pathogenesis, and therapeutic options

Yuan,

Hu,

et al. 2024

Front. Immunol.

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Despite undeniable advances in modern medicine, lung cancer still has high morbidity and mortality rates. Lung cancer is preventable and treatable, and it is important to identify new risk factors for lung cancer, especially those that can be treated or reversed. Obstructive sleep apnea (OSA) is a very common sleep-breathing disorder that is grossly underestimated in clinical practice. It can cause, exacerbate, and worsen adverse outcomes, including death and various diseases, but its relationship with lung cancer is unclear. A possible causal relationship between OSA and the onset and progression of lung cancer has been established biologically. The pathophysiological processes associated with OSA, such as sleep fragmentation, intermittent hypoxia, and increased sympathetic nervous excitation, may affect normal neuroendocrine regulation, impair immune function (especially innate and cellular immunity), and ultimately contribute to the occurrence of lung cancer, accelerate progression, and induce treatment resistance. OSA may be a contributor to but a preventable cause of the progression of lung cancer. However, whether this effect exists independently of other risk factors is unclear. Therefore, by reviewing the literature on the epidemiology, pathogenesis, and treatment of lung cancer and OSA, we hope to understand the relationships between the two and promote the interdisciplinary exchange of ideas between basic medicine, clinical medicine, respiratory medicine, sleep medicine, and oncology.

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Section: Epidemiologymentioning

confidence: 99%

A review of obstructive sleep apnea and lung cancer: epidemiology, pathogenesis, and therapeutic options

Yuan,

Hu,

et al. 2024

Front. Immunol.

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“…Specifically, between 40% and 70% of the older population report difficulties in sleep onset or maintenance and insomnia symptoms [4][5][6], which increase their risk of developing neurodegenerative disorders. Similarly, there is a high prevalence of sleep disorders, such as sleep apnea and circadian rhythm disorders, among people with neurodegenerative disorders [7][8][9][10], where sleep disorders can accelerate cognitive decline [11,12]. Moreover, neurodegenerative disorders affect not only patients but their entire households, especially the primary carer.…”

Section: Overviewmentioning

confidence: 99%

Assessing a Sleep Interviewing Chatbot to Improve Subjective and Objective Sleep: Protocol for an Observational Feasibility Study

Su¹,

Calvo²,

Jouaiti³

et al. 2023

JMIR Res Protoc

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Background Sleep disorders are common among the aging population and people with neurodegenerative diseases. Sleep disorders have a strong bidirectional relationship with neurodegenerative diseases, where they accelerate and worsen one another. Although one-to-one individual cognitive behavioral interventions (conducted in-person or on the internet) have shown promise for significant improvements in sleep efficiency among adults, many may experience difficulties accessing interventions with sleep specialists, psychiatrists, or psychologists. Therefore, delivering sleep intervention through an automated chatbot platform may be an effective strategy to increase the accessibility and reach of sleep disorder intervention among the aging population and people with neurodegenerative diseases. Objective This work aims to (1) determine the feasibility and usability of an automated chatbot (named MotivSleep) that conducts sleep interviews to encourage the aging population to report behaviors that may affect their sleep, followed by providing personalized recommendations for better sleep based on participants’ self-reported behaviors; (2) assess the self-reported sleep assessment changes before, during, and after using our automated sleep disturbance intervention chatbot; (3) assess the changes in objective sleep assessment recorded by a sleep tracking device before, during, and after using the automated chatbot MotivSleep. Methods We will recruit 30 older adult participants from West London for this pilot study. Each participant will have a sleep analyzer installed under their mattress. This contactless sleep monitoring device passively records movements, heart rate, and breathing rate while participants are in bed. In addition, each participant will use our proposed chatbot MotivSleep, accessible on WhatsApp, to describe their sleep and behaviors related to their sleep and receive personalized recommendations for better sleep tailored to their specific reasons for disrupted sleep. We will analyze questionnaire responses before and after the study to assess their perception of our proposed chatbot; questionnaire responses before, during, and after the study to assess their subjective sleep quality changes; and sleep parameters recorded by the sleep analyzer throughout the study to assess their objective sleep quality changes. Results Recruitment will begin in May 2023 through UK Dementia Research Institute Care Research and Technology Centre organized community outreach. Data collection will run from May 2023 until December 2023. We hypothesize that participants will perceive our proposed chatbot as intelligent and trustworthy; we also hypothesize that our proposed chatbot can help improve participants’ subjective and objective sleep assessment throughout the study. Conclusions The MotivSleep automated chatbot has the potential to provide additional care to older adults who wish to improve their sleep in more accessible and less costly ways than conventional face-to-face therapy. International Registered Report Identifier (IRRID) PRR1-10.2196/45752

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“…The copyright holder for this this version posted November 10, 2023. ; https://doi.org/10.1101/2023.11.10.23298264 doi: medRxiv preprint dellaMonica C_et_al_Manuscript.docx prevalent in dementia, particularly obstructive sleep apnoea and REM sleep behaviour disorder which are risk factors for dementia and neurodegeneration and contribute to cognitive decline [16][17][18]. These disruptions not only have consequences for health and social care costs but also affect the quality of life of both the PLWD and their care giver (e.g., [19][20][21][22]) and are a major contributing factor to the PLWD being moved into care homes (e.g., [23][24][25]).…”

Section: The Need For Technology To Monitor Sleep and Circadian Rhyth...mentioning

confidence: 99%

A protocol for evaluating digital technology for monitoring sleep and circadian rhythms in older people and people living with dementia in the community

della Monica,

Ravindran,

Atzori

et al. 2023

Preprint

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Sleep and circadian rhythm disturbance are predictors of poor physical and mental health, including dementia. Long-term monitoring of sleep and circadian rhythms in people living in the community may have great potential for early diagnosis, monitoring of disease progression and assessing the effectiveness of interventions in dementia and other health conditions. Many novel digital technology-based approaches for monitoring sleep and circadian rhythms, aimed at both the consumer and research markets, have recently become available. However, before such technology can be implemented at scale, its performance and acceptability need to be evaluated and compared to established gold standard methodology in relevant populations.Here we describe a protocol for the evaluation of novel sleep and circadian technology in cognitively intact older adults, some of whom have stable comorbidities, and in people living with dementia (PLWD). In this protocol a range of technologies is tested simultaneously first at-home during a one- to two-week period and subsequently in a clinical research facility in which gold standard methodology for assessing sleep and circadian physiology is implemented.We emphasize the importance of assessing both nocturnal and diurnal sleep (naps), valid markers of circadian physiology, and that evaluation of sleep and circadian technology is best achieved in protocols in which sleep is mildly disturbed and in populations and settings that are relevant to the targeted use-case. We provide details on the design, implementation, and challenges of this sleep and circadian technology evaluation protocol along with examples of the datasets that have been generated in both cognitively intact older adults and PLWD. We place our protocol in the context of existing literature and highlight the benefits that our methodology has over previous approaches.Author SummarySleep and circadian (24-hour) rhythms are frequently disrupted in various physical and mental health conditions including dementia. These disturbances may merely be an outcome of the disease process or be drivers of disease progression. Either way, the ability to monitor sleep and circadian rhythms long-term and at-home could be highly beneficial for monitoring health status, early identification of decline, and implementation of interventions as well as monitoring the effectiveness of interventions. A number of new digital health technologies are now available that could allow non-invasive, non-intrusive, long-term monitoring of sleep and circadian rhythms at home. However, few of these have been evaluated against gold-standard measures in a relevant population. Here we describe our approach to simultaneously evaluating multiple types of sleep and circadian technologies against standard methodology, both at-home and in the laboratory, in a group of older adults with and without dementia. We discuss the feasibility of this protocol, provide examples of the data that were obtained, the data analyses and visualisations that can be applied, and explain the benefits of our approach.

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Prevalence of sleep-related breathing disorders and associated risk factors among people with dementia: A meta-analysis

Cited by 18 publications

References 41 publications

A review of obstructive sleep apnea and lung cancer: epidemiology, pathogenesis, and therapeutic options

A review of obstructive sleep apnea and lung cancer: epidemiology, pathogenesis, and therapeutic options

Assessing a Sleep Interviewing Chatbot to Improve Subjective and Objective Sleep: Protocol for an Observational Feasibility Study

A protocol for evaluating digital technology for monitoring sleep and circadian rhythms in older people and people living with dementia in the community

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