TY - JOUR AU - Gabb, Victoria Grace AU - Blackman, Jonathan AU - Morrison, Hamish Duncan AU - Biswas, Bijetri AU - Li, Haoxuan AU - Turner, Nicholas AU - Russell, Georgina M AU - Greenwood, Rosemary AU - Jolly, Amy AU - Trender, William AU - Hampshire, Adam AU - Whone, Alan AU - Coulthard, Elizabeth PY - 2024 DA - 2024/3/22 TI - 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 JO - JMIR Res Protoc SP - e52652 VL - 13 KW - feasibility KW - sleep KW - mild cognitive impairment KW - dementia KW - Lewy body disease KW - Alzheimer disease KW - Parkinson KW - wearable devices KW - research KW - mobile phone KW - electroencephalography KW - accelerometery KW - mobile applications KW - application KW - app KW - cognitive KW - cognitive impairment KW - sleeping KW - sleep disturbance KW - risk factor KW - Alzheimer KW - wearable KW - wearables KW - acceptability KW - smart device AB - 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 SN - 1929-0748 UR - https://www.researchprotocols.org/2024/1/e52652 UR - https://doi.org/10.2196/52652 UR - http://www.ncbi.nlm.nih.gov/pubmed/38517469 DO - 10.2196/52652 ID - info:doi/10.2196/52652 ER -