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| ID | Type | Description | Link |
|---|---|---|---|
| UH3HL162970 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Heart, Lung, and Blood Institute (NHLBI) | NIH |
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This proposal will study sleep health in pregnant women who are of low socioeconomic status (SES) and are participating in the NHLBI-funded UH3 grant: "Enhancing Cardiovascular (CV) Health in Mothers and Children Through Home Visiting (ENRICH)". Objective sleep health will be measured using an in-home sleep disordered breathing testing device and actigraphy and associations of sleep health with social determinants of health and CV health will be investigated. Data from this study will serve as the foundation for future work that will result in the development of sleep interventions and updated guidelines for screening and treatment of sleep in pregnancy.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Intervention: Observational Cohort | Other | No intervention, observational cohort study |
| Measure | Description | Time Frame |
|---|---|---|
| Sleep Health | A sleep health index will be calculated using 7-day wrist actigraphy, a single overnight home SDB testing device, and questionnaires. A sleep health index will be calculated using 10 sleep health components. Each component will be dichotomized with 0 indicating "poor" and 1 indicating "healthy". Scores will range from 0-10 with 0 being the poorest and 10 being completely healthy sleep, a score <7 will indicate "poor sleep health". | Baseline |
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Inclusion Criteria:
Exclusion Criteria:
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A subset of 50 participants from the Washington University clinical center of ENRICH will be enrolled in this study
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University in St. Louis | St Louis | Missouri | 63110 | United States |
Data (sleep health metrics, demographic and social determinants of health metrics) resulting from this research will be shared via the Washington University School of Medicine (WUSM) institutional data repository, Digital Commons Data@Becker.
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The sharable data produced by this project will be made accessible in a timely manner and no later than at the time of publication or by the end of the funding period, whichever occurs earlier. The duration of data preservation and sharing will be governed by the retention policies of Digital Commons Data@Becker
Data will be de-identified prior to sharing in digital Digital Commons Data@Becker and will be made available via controlled access to the approved users who sign the DUA (data use agreement) to ensure the requestor has a legitimate reason for access, agrees not to attempt re-identification, and not to redistribute data to unauthorized users.
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