- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06336525
Adult Sleep Health in the Rural Appalachia and Mississippi Delta Region and Its Relationships With Cardiometabolic Health Disparities.
Sleep Health in the Rural South and Its Relationships With Cardiometabolic Health Disparities
Study Overview
Status
Detailed Description
Rural communities in the southern U.S. suffer a disproportionate burden of morbidity and mortality from cardiometabolic disease, with traditional risk factors explaining only a modest proportion of the excess burden of disease. Growing evidence implicates poor sleep health as an important risk factor for cardiometabolic disease. While this is most well established for sleep apnea and insomnia, there is considerable evidence that multiple dimensions of sleep health, including sleep duration, efficiency, timing, and regularity, also affect cardiometabolic disease risk. Moreover, rural Southern communities are likely to experience high rates of impaired sleep health, reflecting high levels of psychosocial and environmental stressors, such as financial stress, social isolation, environmental pollution, and poor built environment in addition to high rates of smoking and obesity. However, there is currently a lack of systematically developed sleep data in rural populations.
Recognizing the paucity of research on cardiometabolic risk in this high-risk rural population, the NHLBI recently initiated a new longitudinal epidemiology study in rural Appalachia and Mississippi Delta (the RURAL Study) to identify the complex individual, social and environmental factors contributing to this high burden of disease. The proposed RURAL Sleep Study will complement the RURAL Study by incorporating minimally burdensome measures of multiple dimensions of sleep health at the time of baseline cohort assessment in approximately 4000 adults age 25-64 years, utilizing mobile health technologies to
- measure sleep apnea over seven consecutive nights;
- measure sleep duration, timing, regularity and fragmentation over multiple weeks; and
- administer standardized questionnaires to assess insomnia, chronotype, sleep quality, sleep-related impairment, and fatigue.
These data will allow us to leverage the planned extensive assessments of cardiometabolic risk factors, subclinical disease, and psychosocial and environmental stressors (and resilience factors) to address the following specific aims:
Aim 1a. Quantify population distributions of sleep health measures in a rural cohort along dimensions of sleep apnea, insomnia, chronotype, and sleep duration, efficiency, timing, and regularity.
Aim 1b. Identify psychosocial, behavioral, and environmental correlates of sleep health in rural communities.
Aim 2. Assess the association of sleep health with cardiometabolic risk factors and subclinical cardiovascular disease independent of other established cardiovascular and metabolic risk factors.
The results are expected to inform health care providers, public health officials, and the general public of the prevalence, risk factors, and consequences of impaired sleep health in these rural communities, providing a critical basis for prevention, recognition, and management of sleep disorders and improvement of sleep and cardiometabolic health.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Emi Martini
- Phone Number: 774-420-9422
- Email: emartini@bwh.harvard.edu
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02115
- Brigham and Women's Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- All participants in the Risk Underlying Rural Areas Longitudinal (RURAL) Study will be eligible for enrollment in this ancillary study.
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Oxygen desaturation index
Time Frame: 7 nights
|
Frequency of 4% drops in nocturnal blood oxygen saturation
|
7 nights
|
Sleep Duration
Time Frame: 3-6 months
|
Mean total sleep time from accelerometry
|
3-6 months
|
Sleep Duration Regularity
Time Frame: 3-6 months
|
Variability in total sleep time from accelerometry
|
3-6 months
|
Sleep Timing
Time Frame: 3-6 months
|
Sleep midpoint from accelerometry
|
3-6 months
|
Insomnia Severity Index
Time Frame: Single measurement at baseline
|
min: 0, max: 28, higher score indicates more insomnia symptoms
|
Single measurement at baseline
|
Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep-related Impairment Short Form 8a
Time Frame: Single measurement at baseline
|
raw score min: 8, max: 40; higher score indicates greater impairment
|
Single measurement at baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Chronotype
Time Frame: Single measurement at baseline
|
Body's natural tendency to go to sleep and wake up at certain times
|
Single measurement at baseline
|
Sleep Timing Regularity
Time Frame: 7 days
|
Variability in sleep midpoint from accelerometry
|
7 days
|
Oxygen desaturation index, 3%
Time Frame: 7 days
|
Frequency of 3% drops in nocturnal blood oxygen saturation
|
7 days
|
Restless Legs Syndrome (RLS)
Time Frame: Single measurement at baseline
|
Restless Legs Syndrome, yes/no
|
Single measurement at baseline
|
Global Sleep Quality
Time Frame: Single measurement at baseline
|
Pittsburgh Sleep Quality Index (PSQI), min: 0, Max: 21; higher score indicates poorer sleep quality Minimum Score = 0 (better); Maximum Score = 21 (worse) Interpretation: TOTAL < 5 associated with good sleep quality TOTAL > 5 associated with poor sleep quality
|
Single measurement at baseline
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Daniel J Gottlieb, MD, MPH, Brigham and Women's Hospital
- Principal Investigator: Tené Lewis, PhD, Emory University
- Principal Investigator: Tianyi Huang, PhD, Harvard Chan School of Public Health
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023P001895
- R01HL164462 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
De-identified oximetry data and the results of sleep questionnaires will be shared via the National Sleep Research Resource (NSRR) (sleepdata.org). The RURAL sleep data will be available for any researcher who provides an acceptable Data Access and Use Agreement and has appropriate regulatory approvals. The NSRR has procedures to streamline Institutional Review Board (IRB) approval (via an in house IRB process). The NSRR is in the process of migrating to Bio Data Catalyst, enabling easy linkage and interoperability with other Bio Data Catalyst data (from RURAL) and other cohorts to individuals with approved Database of Genotypes and Phenotypes (dbGaP) authorization.
Other RURAL Study data that are integral to this project but were collected separately by the parent RURAL Study (e.g., non-sleep cardiovascular risk and outcomes data) will be distributed via RURAL Study data sharing mechanisms, including via Bio Data Catalyst and dbGaP.
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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