Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study
BackgroundSleep holds promise as a modifiable risk factor for neurodegenerative diseases and dementia. Clinical trials to modify sleep in people at risk of or in the early stages of dementia are needed. Monitoring natural sleep from home could support pragmatic and decentrali...
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JMIR Publications
2025-05-01
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| Series: | JMIR Aging |
| Online Access: | https://aging.jmir.org/2025/1/e72824 |
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| author | Victoria Grace Gabb Jonathan Blackman Hamish Morrison Haoxuan Li Adrian Kendrick Nicholas Turner Rosemary Greenwood Bijetri Biswas Amanda Heslegrave Elizabeth Coulthard |
| author_facet | Victoria Grace Gabb Jonathan Blackman Hamish Morrison Haoxuan Li Adrian Kendrick Nicholas Turner Rosemary Greenwood Bijetri Biswas Amanda Heslegrave Elizabeth Coulthard |
| author_sort | Victoria Grace Gabb |
| collection | DOAJ |
| description |
BackgroundSleep holds promise as a modifiable risk factor for neurodegenerative diseases and dementia. Clinical trials to modify sleep in people at risk of or in the early stages of dementia are needed. Monitoring natural sleep from home could support pragmatic and decentralized large-scale clinical trials. However, whether longitudinal sleep research can be successfully delivered remotely in this population has not been established yet.
ObjectiveWe investigated the feasibility of remote longitudinal research using wearable devices, web-based cognitive tasks, and a smartphone app to record sleep and cognition in older adults with mild cognitive impairment (MCI) or dementia.
MethodsOlder adults with MCI or dementia due to Alzheimer disease or Lewy body disease and cognitively healthy participants completed at-home sleep and circadian monitoring (digital sleep diaries, actigraphy, wearable sleep electroencephalography, and saliva samples) and digital cognitive assessments for 8 weeks. Feasibility outcomes included recruitment, retention, and data completeness.
ResultsIn total, 41 participants consented (n=10, 24% participants with Alzheimer disease; n=11, 27% participants with Lewy body disease; and n=20, 49% controls). There were predominantly male and White British participants, with a mean age of 70.9 (SD 5.9) years. Retention was very high, with 40 (98%) participants completing 8 weeks of remote monitoring. Data completeness for sleep electroencephalography was 91% and ranged from 79% to 97% for all remote tasks and was overall high across all participant subgroups. In total, 30% (12/40) of participants reported receiving external support with completing study tasks.
ConclusionsHigh rates of retention, data completeness, and data quality suggested that longitudinal multimodal sleep and cognitive profiling using novel and remote monitoring technology is feasible in older adults with MCI and dementia and healthy older adults, even without study partner support. Remote monitoring should be considered for mechanistic and interventional trials. Careful consideration should be given to how to ensure remote monitoring technologies reduce burden and enhance inclusivity, particularly in communities traditionally underserved by research and those with lower digital literacy.
International Registered Report Identifier (IRRID)RR2-10.2196/52652 |
| format | Article |
| id | doaj-art-e3b62920e4f64fecb7449456e2e47521 |
| institution | DOAJ |
| issn | 2561-7605 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Aging |
| spelling | doaj-art-e3b62920e4f64fecb7449456e2e475212025-08-20T03:21:31ZengJMIR PublicationsJMIR Aging2561-76052025-05-018e7282410.2196/72824Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort StudyVictoria Grace Gabbhttps://orcid.org/0000-0002-7688-766XJonathan Blackmanhttps://orcid.org/0000-0001-9579-9860Hamish Morrisonhttps://orcid.org/0000-0001-9358-7936Haoxuan Lihttps://orcid.org/0009-0008-7120-8657Adrian Kendrickhttps://orcid.org/0009-0001-2291-8272Nicholas Turnerhttps://orcid.org/0000-0003-1591-6997Rosemary Greenwoodhttps://orcid.org/0000-0001-6637-5225Bijetri Biswashttps://orcid.org/0000-0003-3995-2693Amanda Heslegravehttps://orcid.org/0000-0002-7290-6405Elizabeth Coulthardhttps://orcid.org/0000-0002-0017-9595 BackgroundSleep holds promise as a modifiable risk factor for neurodegenerative diseases and dementia. Clinical trials to modify sleep in people at risk of or in the early stages of dementia are needed. Monitoring natural sleep from home could support pragmatic and decentralized large-scale clinical trials. However, whether longitudinal sleep research can be successfully delivered remotely in this population has not been established yet. ObjectiveWe investigated the feasibility of remote longitudinal research using wearable devices, web-based cognitive tasks, and a smartphone app to record sleep and cognition in older adults with mild cognitive impairment (MCI) or dementia. MethodsOlder adults with MCI or dementia due to Alzheimer disease or Lewy body disease and cognitively healthy participants completed at-home sleep and circadian monitoring (digital sleep diaries, actigraphy, wearable sleep electroencephalography, and saliva samples) and digital cognitive assessments for 8 weeks. Feasibility outcomes included recruitment, retention, and data completeness. ResultsIn total, 41 participants consented (n=10, 24% participants with Alzheimer disease; n=11, 27% participants with Lewy body disease; and n=20, 49% controls). There were predominantly male and White British participants, with a mean age of 70.9 (SD 5.9) years. Retention was very high, with 40 (98%) participants completing 8 weeks of remote monitoring. Data completeness for sleep electroencephalography was 91% and ranged from 79% to 97% for all remote tasks and was overall high across all participant subgroups. In total, 30% (12/40) of participants reported receiving external support with completing study tasks. ConclusionsHigh rates of retention, data completeness, and data quality suggested that longitudinal multimodal sleep and cognitive profiling using novel and remote monitoring technology is feasible in older adults with MCI and dementia and healthy older adults, even without study partner support. Remote monitoring should be considered for mechanistic and interventional trials. Careful consideration should be given to how to ensure remote monitoring technologies reduce burden and enhance inclusivity, particularly in communities traditionally underserved by research and those with lower digital literacy. International Registered Report Identifier (IRRID)RR2-10.2196/52652https://aging.jmir.org/2025/1/e72824 |
| spellingShingle | Victoria Grace Gabb Jonathan Blackman Hamish Morrison Haoxuan Li Adrian Kendrick Nicholas Turner Rosemary Greenwood Bijetri Biswas Amanda Heslegrave Elizabeth Coulthard Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study JMIR Aging |
| title | Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study |
| title_full | Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study |
| title_fullStr | Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study |
| title_full_unstemmed | Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study |
| title_short | Longitudinal Remote Sleep and Cognitive Research in Older Adults With Mild Cognitive Impairment and Dementia: Prospective Feasibility Cohort Study |
| title_sort | longitudinal remote sleep and cognitive research in older adults with mild cognitive impairment and dementia prospective feasibility cohort study |
| url | https://aging.jmir.org/2025/1/e72824 |
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