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RecruitingNCT06423118Updated May 21, 2024

Sleep Apnea and Cognition in Older Adults

An observational study in Sleep, Cognition and Aging, sponsored by Sunnybrook Health Sciences Centre. Recruiting at 1 site in Canada. Open to participants aged 55 Years to 85 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-05-21.

Sponsored by Sunnybrook Health Sciences Centre · Observational

From the registry’s dates

  • Started Apr 2024; still recruiting 2 years 5 months later.
Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
300
Ages
55 Years to 85 Years
Sex
All
01

Study summary

The goal of this cross-sectional, observational, medical device trial is to examine the association of several sleep parameters, including specific respiratory events and an apnea-hypopnea index, with cognitive performance in older adults. The main question the study aims to answer is:

Is there an association between sleep parameters with cognitive performance?

Researchers will collect sleep parameters from participants using a device called the ANNE Vital Sign System and will test whether they are associated with performance on different memory and thinking tasks.

Participants will:

Complete a battery of cognitive tests to assess their memory and thinking performance.

Wear the ANNE Vital Sign System continuously for a period of 24 hours.

Read the detailed description

Nearly a third of older adults experience difficulty initiating or maintaining sleep and nearly half have sleep apnea. However, current reliance on gold-standard in-lab polysomnography has been a barrier to detecting, quantifying, and measuring these sleep problems. Polysomnography is difficult for many older adults to tolerate, requires specialized technologists to obtain and analyze the recordings, is labour intensive and expensive, and not widely available in many jurisdictions, all of which impede use by primary care clinicians or end-users. Recent advances in wearable sensor development have led to a new generation of wearable sensors that have good potential to overcome these barriers.

Accumulating evidence suggests that poor sleep quality increases the risk of cognitive impairment and dementia, however studies in older adults linking objectively measured sleep function with comprehensive cognitive testing are lacking. The primary objective of this cross-sectional study is to examine the association of several objectively measured sleep parameters (e.g., sleep apnea) with cognitive performance.

The Advanced NeoNatal Epidermal (ANNE) Vital Sign System was created for the purposes of providing real-time vital signs monitoring in the paediatric intensive care unit. The ANNE Vital Sign System integrates simultaneous synchronized ambulatory measurement of electrocardiography, photoplethysmography with derived pulse oximetry, pulse arrival time with derived beat-to-beat blood pressure, triaxial accelerometry, respiratory rate, and temperature, to enable accurate measurement of sleep apnea. The characteristics that make the ANNE Vital Sign System ideal for use in children (non-invasive, flexible, ease of use, comfort, skin safety) also make it ideal for use in adults. Compelling in-laboratory preliminary data from our collaborator at Sunnybrook Research Institute (SRI) has demonstrated the capacity for ANNE to detect and characterize sleep apnea in older adults.

After the informed consent process, participants will complete a 1-hour battery of cognitive tests. If participants have completed the same set of cognitive tests in the past year at SRI no cognitive testing will take place.

Following testing, participants will be shown how to affix and remove the sensors to their chest and dominant index finger (or non-dominant if dominant is not available) according to manufacturer recommendations. Participants will be given the device to take home and asked to wear the sensors for a 24-hour period. They will also be provided with ANNE chest adhesive, ANNE limb adhesive, and a clinical waterproof 3M Tegaderm dressing. Participation in the study concludes after the device is worn for the 24-hour period.

Though there are no substantial benefits for participants, this study may lead to a better understanding of the association between sleep apnea and cognition in older adults. Given that poor sleep quality is a risk factor for dementia, there is a need to better characterize the relationship between objective sleep parameters and cognition.

02

Conditions studied

  • Sleep
  • Cognition
  • Aging

Keywords

  • sleep
  • cognition
  • aging
03

In context

Sleep Apnea Syndromes

2,162 studies on the registry are indexed under Sleep Apnea Syndromes; 290 are open to participants now.

This study's planned enrollment of 300 is above the median of 109 across 654 observational studies indexed under Sleep Apnea Syndromes.

Browse Sleep Apnea Syndromes studies →

Lead sponsor

Sunnybrook Health Sciences Centre is the lead sponsor of 566 studies on the registry; 134 are open to participants now.

Of its 6 completed or terminated interventional studies of FDA-regulated products, 2 (33%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
55 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Healthy older adults between the ages of 55-85, with 8+ years of education and no frank cognitive impairment or dementia.

Inclusion criteria

  1. Sufficient knowledge of English to understand and provide informed consent
  2. Competent to provide consent
  3. Aged 55-85, Male and Female
  4. ≥ 8 years of education
  5. Capable of cooperating for the duration of the study procedures and assessments
  6. No frank cognitive impairment or dementia
  7. Sufficient (corrected) vision to participate in cognitive testing
  8. Sufficient (corrected) hearing to participate in cognitive testing

Exclusion criteria

Exclusion Criteria:

  1. Cannot read and comprehend English language instructions
  2. Major cardio- or cerebro-vascular event (heart attack, stroke, significant white matter changes)
  3. Unstable diseases (e.g., pulmonary, endocrine disorder)
  4. Active malignancy or infectious diseases
  5. History of significant learning disability
  6. Major psychiatric/neurologic/degenerative disorder, including a diagnosis of mild cognitive impairment or dementia
  7. History of significant head trauma or recurrent concussions requiring hospitalization followed by persistent neurologic defaults or known structural brain abnormalities
  8. Pain or sleep disorder that could interfere with cognitive testing
  9. Major medical concerns that might interfere with cognitive testing
  10. Recent history of substance/drug abuse
  11. Known nickel allergy
  12. Known cardiac implantable device
  13. Known arrhythmias
  14. Outside the included age range
  15. Pregnant or breast feeding
  16. Otherwise unable to use the ANNE sensors; for example, finger amputations.
05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
300 participants (estimated)
Patient registry
No

Groups and cohorts

  • Healthy Older Adults

    * Age 55-85 * 8+ years of education * No frank cognitive impairment or dementia

    Device: ANNE Vital Sign System

Interventions

  • DeviceANNE Vital Sign System

    The ANNE Vital Sign System is a pair of non-invasive, flexible sensors originally designed for vital signs monitoring in the paediatric intensive care unit.

    Also known as: ANNE One

06

What researchers measure

Primary outcomes

  1. Association between apnea-hypopnea index and cognitive performance

    An apnea-hypopnea index, the combined average number of apneas and hypopneas that occur per hour of sleep, will be calculated from ANNE Vital Sign System data. Study staff will annotate apneas and hypopneas to calculate the index using an EEG annotation tool. A linear regression model will be constructed to examine the association between apnea-hypopnea index and performance on a battery of neuropsychological tests, which includes: 1. Montreal Cognitive Assessment 2. Free and Cued Selective Reminding Test 3. Benson Complex Figure Copy 4. Doors Test, Parts A and B 5. WAIS-III Symbol Digit Coding 6. Benson Complex Figure Delay 7. Benson Complex Figure Recognition 8. 7-24 Spatial Recall Test 9. Colour Trails Test, parts 1 and 2 10. Controlled Oral Word Association Test (FAS) 11. Semantic Fluency (Animals) 12. Trail Making Test, parts A and B

    Time frame: 24 hours

07

Study locations

1 of 1 sites recruiting
  • Sunnybrook Health Sciences Centre
    Toronto, Ontario M6G3T6, Canada
    Recruiting
08

References and documents

Publications

  • Foley DJ, Monjan AA, Brown SL, Simonsick EM, Wallace RB, Blazer DG. Sleep complaints among elderly persons: an epidemiologic study of three communities. Sleep. 1995 Jul;18(6):425-32. doi: 10.1093/sleep/18.6.425. PubMed 7481413 ↗
  • Senaratna CV, Perret JL, Lodge CJ, Lowe AJ, Campbell BE, Matheson MC, Hamilton GS, Dharmage SC. Prevalence of obstructive sleep apnea in the general population: A systematic review. Sleep Med Rev. 2017 Aug;34:70-81. doi: 10.1016/j.smrv.2016.07.002. Epub 2016 Jul 18. PubMed 27568340 ↗
  • Oosterman JM, van Someren EJ, Vogels RL, Van Harten B, Scherder EJ. Fragmentation of the rest-activity rhythm correlates with age-related cognitive deficits. J Sleep Res. 2009 Mar;18(1):129-35. doi: 10.1111/j.1365-2869.2008.00704.x. PubMed 19250179 ↗
  • Shi L, Chen SJ, Ma MY, Bao YP, Han Y, Wang YM, Shi J, Vitiello MV, Lu L. Sleep disturbances increase the risk of dementia: A systematic review and meta-analysis. Sleep Med Rev. 2018 Aug;40:4-16. doi: 10.1016/j.smrv.2017.06.010. Epub 2017 Jul 6. PubMed 28890168 ↗
  • Sindi S, Kareholt I, Johansson L, Skoog J, Sjoberg L, Wang HX, Johansson B, Fratiglioni L, Soininen H, Solomon A, Skoog I, Kivipelto M. Sleep disturbances and dementia risk: A multicenter study. Alzheimers Dement. 2018 Oct;14(10):1235-1242. doi: 10.1016/j.jalz.2018.05.012. Epub 2018 Jul 17. PubMed 30030112 ↗
  • Zhu X, Zhao Y. Sleep-disordered breathing and the risk of cognitive decline: a meta-analysis of 19,940 participants. Sleep Breath. 2018 Mar;22(1):165-173. doi: 10.1007/s11325-017-1562-x. Epub 2017 Sep 13. PubMed 28905231 ↗
  • Chung HU, Kim BH, Lee JY, Lee J, Xie Z, Ibler EM, Lee K, Banks A, Jeong JY, Kim J, Ogle C, Grande D, Yu Y, Jang H, Assem P, Ryu D, Kwak JW, Namkoong M, Park JB, Lee Y, Kim DH, Ryu A, Jeong J, You K, Ji B, Liu Z, Huo Q, Feng X, Deng Y, Xu Y, Jang KI, Kim J, Zhang Y, Ghaffari R, Rand CM, Schau M, Hamvas A, Weese-Mayer DE, Huang Y, Lee SM, Lee CH, Shanbhag NR, Paller AS, Xu S, Rogers JA. Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care. Science. 2019 Mar 1;363(6430):eaau0780. doi: 10.1126/science.aau0780. PubMed 30819934 ↗

Study documents

  • Informed consent form · Mar 17, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 21, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06423118
Lead sponsor
Sunnybrook Health Sciences Centre
Collaborators
Alzheimer Society of Canada
Responsible party
Dr. Jennifer Rabin (Scientist, Sunnybrook Health Sciences Centre) — Principal investigator
First posted
May 21, 2024
Start date
Apr 9, 2024
Primary completion
Apr 2034 (estimated)
Completion
Apr 2034 (estimated)
Last update
May 21, 2024

Study contacts

Alexander Nyman, BSc
Contact
alexander.nyman@sri.utoronto.ca
416-480-6100
Jennifer Rabin, PhD
principal investigator · Sunnybrook Research Institute

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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