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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03389828
Other study ID # 999918021
Secondary ID 18-E-N021
Status Completed
Phase
First received
Last updated
Start date May 8, 2018
Est. completion date September 28, 2020

Study information

Verified date May 9, 2024
Source National Institutes of Health Clinical Center (CC)
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Background: Sleep that does not last long and is low-quality is tied to a range of serious health issues. These range from obesity to early death. Research has shown that black people who are professionals or managers are more likely to have this kind of sleep than their white counterparts. Black people are also at higher risk than whites for health problems caused by insufficient sleep. Researchers want to learn more about why these differences exist. Objective: To study reasons for racial differences in the work-sleep relationship. Eligibility: Adults at least 25 years old who: - Are non-Hispanic black or non-Hispanic white - Are employed and work 38 or more hours a week - Live around Raleigh-Durham-Chapel Hill, NC, or Washington, DC Design: Participants will be screened with questions. They will give sociodemographic data like job title, annual income level, and gender. They will give their contact information. Participants will have 1 study visit. They will be in a closed, private conference room. They will join a focus group. The focus groups will be organized by to race, gender, and occupational class. Participants will give informed consent before the focus group begins. During the focus group, participants will be asked about their perceptions of health in general, and their typical work day. They will be asked about sleep. Participants will also fill out a short questionnaire about their job and sleep habits. Focus groups will be audio recorded. The entire session will last 90 to 120 minutes.


Description:

OBJECTIVE: Prior research has documented racial differences in sleep health by occupational class. While increasing professional responsibility has been associated with shorter sleep duration among non-Hispanic Blacks, increasing professional responsibility appears to be associated with a lower prevalence of short sleep duration among non-Hispanic Whites. The objective of the present study is to investigate reasons for these racial differences in the work-sleep relationship. STUDY POPULATION: The study population will consist of approximately 340 focus groups participants. All non-Hispanic black and white adults 25 years of age or older who are currently working at least 38 hours a week will be eligible for inclusion in the study. To mitigate the influence of known cultural differences in sleep behaviors, participation will be limited to English speakers born in the continental United Sates. DESIGN: We will conduct 34 demographically homogenous focus groups consisting of 7-12 participants each. Focus groups will be stratified based race, gender, and occupational class, and will be conducted in both North Carolina and the metropolitan DC area. Focus groups will take place in-person and be conducted by a trained facilitator according to a scripted, semi-structured focus group guide. Audio recordings of the focus groups will be transcribed verbatim by a professional transcription service. De-identified transcripts will be reviewed by the study team to identify qualitative themes in the data, which will be coded in an appropriate software program using a double-coding process. Qualitative data analysis will be conducted to identify potential reasons for racial differences in sleep health by occupational class. We will additionally assess variation by other sociodemographic determinants, including gender, education, income, and geographic region. OUTCOMES MEASURES: Outcome measures include the themes/patterns regarding potential system-level influences, beliefs, and behaviors that may explain racial differences in the association between occupational class and sleep health.


Recruitment information / eligibility

Status Completed
Enrollment 263
Est. completion date September 28, 2020
Est. primary completion date September 28, 2020
Accepts healthy volunteers No
Gender All
Age group 25 Years and older
Eligibility - INCLUSION CRITERIA: - Non-Hispanic Black or non-Hispanic White - Female or Male - 25 years of age or older - Employed (38 plus hours/week) - Residing in the area around of Raleigh-Durham-Chapel Hill, NC or Silver Spring, MD EXCLUSION CRITERIA: - Born outside the continental United States - Not fluent in English - Unwilling to provide answers to all screening questions - Unwilling to provide informed consent

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
United States Social and Scientific Systems, Inc. Durham North Carolina
United States Social and Scientific Systems, Inc. Silver Spring Maryland

Sponsors (1)

Lead Sponsor Collaborator
National Institute of Environmental Health Sciences (NIEHS)

Country where clinical trial is conducted

United States, 

References & Publications (3)

Jackson CL, Redline S, Kawachi I, Williams MA, Hu FB. Racial disparities in short sleep duration by occupation and industry. Am J Epidemiol. 2013 Nov 1;178(9):1442-51. doi: 10.1093/aje/kwt159. Epub 2013 Sep 9. — View Citation

Krueger PM, Friedman EM. Sleep duration in the United States: a cross-sectional population-based study. Am J Epidemiol. 2009 May 1;169(9):1052-63. doi: 10.1093/aje/kwp023. Epub 2009 Mar 18. — View Citation

Luckhaupt SE, Tak S, Calvert GM. The prevalence of short sleep duration by industry and occupation in the National Health Interview Survey. Sleep. 2010 Feb;33(2):149-59. doi: 10.1093/sleep/33.2.149. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Outcome measures include the themes/patterns regarding potential system-level influences, beliefs, and behaviors that may explain racial differences in the association between occupational class and sleep health. Data will be analyzed via qualitative coding software to identify themes/patterns in the narratives of participants in focus groups and interviews. At the time of the focus group and in more detail during data analysis (coding)
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