Redirecting Poor Sleep Drivers of Early Cardiovascular Disease

April 22, 2025 updated by: Michael W.L. Chee, National University of Singapore
Sleep health is a critical component of cardiovascular well-being, and poor sleep has been linked with increased risk for all-cause mortality including cardiovascular disease (CVD). Moreover, many individuals within a population may have underlying, subclinical cardiovascular conditions, such as hypertension and arterial stiffness, and these may risk progressing to advanced CVD when coupled with inadequate sleep duration and quality. Given that Singapore ranks as the third most sleep-deprived city globally, understanding the relationship between sleep health and the prevalence and progression of CVD becomes increasingly important for population health. In addition, depression and psychological stress could also lead to poorer cardiovascular health by increasing blood cholesterol, blood sugar and blood pressure, and could also be directly related to or arise as a result of poor sleep. The aim of the current study is to track sleep and mental health using a combination of objective sleep tracking (Oura ring) and smartphone-based questionnaires (EMA), and examine their associations with detailed cardiovascular health data collected by the project RESET (Redirecting Immune, Lipid and Metabolic Drivers of Early Cardiovascular Disease).

Study Overview

Status

Recruiting

Detailed Description

Sleep health is a critical component of cardiovascular well-being, and poor sleep has been linked with increased risk for all-cause mortality including cardiovascular disease (CVD). Previous research suggested that inadequate duration and quality of sleep may increase the risk for developing cardiovascular disease. Moreover, many individuals within a population may have underlying, subclinical cardiovascular conditions, such as hypertension and arterial stiffness, and these may risk progressing to advanced CVD when coupled with poor sleep. Given that Singapore ranks as the third most sleep-deprived city globally, understanding the relationship between sleep health and the prevalence and progression of CVD becomes increasingly important for population health. In addition, depression and psychological stress could also lead to poorer cardiovascular health. by increasing blood cholesterol, blood sugar and blood pressure, and could also be directly related to or arise as a result of poor sleep. Therefore, it is essential to assess the relationship between CVD progression and sleep as a multidimensional construct with overlapping components, including duration, timing, regularity, and efficiency, using objectively collected data over multiple days.

Through the combination of objective sleep tracking through wearables with health assessments conducted in the RESET study (registered with ClinicalTrials.gov under NCT06211868), we will gain valuable insights into these dimensions of poor sleep and wellbeing factors that are associated with poor cardiovascular health.

The investigators aim to examine following questions using a combination of objective sleep tracking (Oura ring), smartphone-based questionnaires (EMA) and detailed health data collected by the RESET study.

  1. How are sleep patterns, in terms of duration, timing, efficiency and regularity, associated with cardiovascular health outcomes and disease risk, at baseline and follow-up ?
  2. How are sleep patterns, in terms of duration, timing, efficiency and regularity, associated with vascular aging patterns?
  3. How are patterns of subjective wellbeing related to cardiovascular health, at baseline and follow-up ?
  4. Do sleep and subjective wellbeing measures relate on a day to day basis?

The investigators hypothesize that inadequate sleep duration, timing, and regularity will be associated with increased cardiovascular risk at baseline and follow-up. Individuals with irregular sleep duration and timing are expected to demonstrate higher arterial stiffness and profiles indicative of early vascular aging. Additionally, participants reporting poor subjective well-being are anticipated to experience poorer sleep quality, which will further associate with increased cardiovascular risk.

Study Type

Observational

Enrollment (Estimated)

1500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

South-East Asian population aged 40-70 years with no prior manifest atherosclerotic cardiovascular disease (ACSVD).

Description

Inclusion Criteria:

  • Willing to wear a ring
  • Have any of the following conditions:

    • High blood pressure
    • High cholesterol
    • Fatty liver
    • Family history of heart diseases or stroke.
    • Obesity

Exclusion Criteria:

  • Prior history of heart attack or stroke or balloon angioplasty/stent placement
  • Restricted peripheral circulation (e.g., Raynaud's disease)
  • Pacemakers

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Participants from RESET
Interested participants will be drawn from the RESET cohort which includes South-East Asians aged 40-70 years with no prior manifest atherosclerotic cardiovascular disease.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sleep time
Time Frame: Across the 2 year study
The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Onset Time, Wake Time, on Workday (weekday) and Free Day (Weekend / vacation) will be recorded for nocturnal sleep and naps.
Across the 2 year study
Sleep duration
Time Frame: Across the 2 year study
The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Duration on Workday (weekday) and Free Day (Weekend / vacation) will be recorded for nocturnal sleep and naps.
Across the 2 year study
Wake after sleep onset
Time Frame: Across the 2 year study
The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Wake after Sleep Onset on Workday (weekday) and Free Day (Weekend / vacation) will be recorded.
Across the 2 year study
Sleep regularity
Time Frame: Across the 2 year study
The Oura ring is a device worn on the finger which non-invasively records movement, heart rate and temperature to infer sleep and physical activity. Sleep Regularity (computed via Std Deviation and Sleep Regularity Index; evaluated over 4 weeks minimally) will be recorded.
Across the 2 year study
Well-being
Time Frame: Across the 2 year study
Participants input ratings about a rotating set of questions concerning wellbeing daily through a smartphone based app (Z4IP) that has been used in prior studies. This daily assessment can be done anytime between 8pm and 12am each day. Higher scores represent higher levels of well-being.
Across the 2 year study
Major adverse cardiovascular event
Time Frame: Across the 2 year study
Composite of cardiac death, non-fatal myocardial infarction, resuscitated cardiac arrest, non-fatal ischemic stroke, congestive heart failure, coronary revascularization
Across the 2 year study
Arterial stiffness
Time Frame: Across the 2 year study
Pulse wave velocity and arterial stiffness measurements will be recorded using applanation tonometry
Across the 2 year study
Vascular age
Time Frame: Across the 2 year study
Vascular age is calculated using arterial stiffness and traditional cardiovascular risk factors to infer about vascular health.
Across the 2 year study

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predicted vascular age
Time Frame: Across the 2 year study
Vascular age will be predicted using PPG data and machine learning approaches.
Across the 2 year study

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 24, 2025

Primary Completion (Estimated)

August 15, 2027

Study Completion (Estimated)

December 1, 2027

Study Registration Dates

First Submitted

April 22, 2025

First Submitted That Met QC Criteria

April 22, 2025

First Posted (Actual)

April 29, 2025

Study Record Updates

Last Update Posted (Actual)

April 29, 2025

Last Update Submitted That Met QC Criteria

April 22, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • RESET-Sleep

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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