Oregon Military Employee Sleep and Health Study (MESH)

November 12, 2024 updated by: Leslie Hammer, Oregon Health and Science University

Evaluation of a Work-Family and Sleep Leadership Intervention in the Oregon National Guard: A Behavioral Health Leadership Approach

This study is a randomized controlled trial that assesses the effects of (1) the Family-Supportive Supervisor Behavior (FSSB) and Sleep Leadership training and (2) sleep/cognitive effectiveness feedback intervention on health and well-being among full-time employees in the Oregon National Guard, their supervisors, and their families. The interventions involving both health protection and health promotion are expected to contribute to improvements in employees' and their supervisors' sleep, risk behaviors, mental and physical health, and injury, as well as employees' and their spouse/partners' family experiences, health and well-being, and workplace outcomes.

Study Overview

Detailed Description

The overall goal of the Military Employee Sleep and Health (MESH) study is to improve safety, health and well-being of service members in the Oregon National Guard and their families. The MESH Study seeks to do this by training supervisors to support Oregon National Guard service members by focusing on a reduction in work-life stress while increasing sleep health.

The Oregon MESH Study proposes that leadership can influence a fundamental change in the recognition of sleep health and service members' overall well-being and the well-being of their family members. With the support of the Oregon National Guard, the MESH Study will provide family-support and sleep leadership training for supervisors while raising awareness of sleep through daily non-invasive sleep measurements.

The investigators of the Oregon MESH Study expect positive results for study participants, including reduced stress and increased social support. Longer term, these effects are expected to create a more supportive work environment, which has positive effects on safety, health, well-being, family, and organizational outcomes. The investigators also expect that providing service members with individual sleep feedback will reduce sleep problems and improve sleep awareness.

Study Type

Interventional

Enrollment (Actual)

704

Phase

  • Not Applicable

Contacts and Locations

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

Study Locations

    • Oregon
      • Portland, Oregon, United States, 97239
        • Oregon Health & Science University

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

14 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Full-time employees in the Oregon National Guard, including Military Technicians and Active Guard Reserves.

Exclusion Criteria:

-

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

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Supervisor Intervention
Supervisors in the intervention group will go through the FSSB/sleep leadership training and receive actigraphy feedback.
Supervisors will receive a training addressing family-supportive supervisor behaviors and sleep leadership.
Supervisors and employees will receive personalized feedback on their sleep and activity measurements.
Experimental: Employee Intervention
Employees in the intervention group will receive actigraphy feedback.
Supervisors and employees will receive personalized feedback on their sleep and activity measurements.
No Intervention: Waitlist Control
Supervisor training and actigraphy feedback provided AFTER final 9 month data collection.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Self-Reported Sleep Duration
Time Frame: 4 months
Total number of hours calculated from reported bed time and wake time. Minimum 0 hours, Maximum 24 hours. Longer duration indicates longer sleep duration. Ideal range is 7-9 hours of sleep per night.
4 months
Self-Reported Sleep Duration
Time Frame: 9 months
Total number of hours calculated from reported bed time and wake time. Minimum 0 hours, Maximum 24 hours. Longer duration indicates longer sleep duration. Ideal range is 7-9 hours of sleep per night.
9 months
Patient Reported Outcomes Measurement Information System (PROMIS): Sleep Disturbance Insomnia Subscale
Time Frame: 4 months

Four item subscale of the larger 8 item Sleep Disturbance scale. Likert-type responses: 1 = Not at all to 5 = Very much).

T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more of the concept being measured (worse).

4 months
Patient Reported Outcomes Measurement Information System (PROMIS): Sleep Disturbance Insomnia Subscale
Time Frame: 9 months

Four item subscale of the larger 8 item Sleep Disturbance scale. Likert-type responses: 1 = Not at all to 5 = Very much). T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more of the concept being measured.

9 months
Patient Reported Outcomes Measurement Information System (PROMIS): Dissatisfaction With Sleep Subscale
Time Frame: 4 months

Four item subscale of the larger 8 item Sleep Disturbance scale. Likert-type responses: 1 = Not at all to 5 = Very much.

T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more of the concept being measured (worse).

4 months
Patient Reported Outcomes Measurement Information System (PROMIS): Dissatisfaction With Sleep Subscale
Time Frame: 9 months

Four item subscale of the larger 8 item Sleep Disturbance scale. Likert-type responses: 1 = Not at all to 5 = Very much).

T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates for Dissatisfaction with Sleep were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more of the concept being measured (worse).

9 months
Patient Reported Outcomes Measurement Information System (PROMIS): Sleep Related Impairment Subscale (SRI)
Time Frame: 4 months

8 item scale. Likert-type responses: 1 = Not at all to 5 = Very much). T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates for SRI were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more sleep impairment (worse).

4 months
Patient Reported Outcomes Measurement Information System (PROMIS): Sleep Related Impairment Subscale (SRI)
Time Frame: 9 months

8 item scale. Likert-type responses: 1 = Not at all to 5 = Very much). T-Scores were created using HealthMeasures Scoring service, where data are uploaded into the HealthMeasures scoring service website, which generates T-Scores. This is considered the most accurate option.

T-Scores estimates for SRI were developed using a population of 2,252 participants, 259 of which had clinical sleep disorders, and was intended to be representative of the US population. This is the reference population that the T-score means and SDs were calibrated and centered with.

The T-Scores that HealthMeasures generates are not precisely at a mean of 50 and standard deviation of 10 because they are based on the unique MESH samples. A higher PROMIS T-score represents more sleep impairment (worse).

9 months
Actigraphic Sleep Duration: Total Sleep Time (TST)
Time Frame: 9 months
Actigraphic measurements obtained using Actiwatch2 worn for 3 weeks Average sleep duration in hours Great duration generally better, with target range of 7-9 hours each sleep period.
9 months
Actigraphic Sleep Efficiency: Wake After Sleep Onset (WASO)
Time Frame: 9-months
Actigraphic measurements obtained using Actiwatch2 worn for 3 weeks Average number of minutes spent awake during the sleep period. More minutes indicates worse outcome.
9-months
Overall Job Satisfaction Scale
Time Frame: 9-months

Service member satisfaction with current job; Likert-type scale 1 = Strongly disagree to 5 = Strongly agree, mean created from the 3 items.

Scores could range from 0-5 with higher levels indicating greater satisfaction. Source: Cammann et al., 1983

9-months
Turnover Intentions
Time Frame: 9-months

Service member intention to quit current job; Two items with responses on Likert-type scale 1 = Strongly disagree to 5 = Strongly agree.

Overall score created with a mean of the two items, with higher levels indicating greater intention to leave one's job.

Source: Boroff & Lewin, 1997

9-months
Perceived Stress Scale
Time Frame: 9-months

Service member self-reported stress; Likert-type scale 0 = Never to 4 = Very often, combined to a mean score, with a possible range from 0 to 4.

Higher scores indicate greater stress (worse). Source: Cohen & Williamson, 1988

9-months
Walter Reed Functional Impairment: Occupational Subscale (OFI)
Time Frame: 9-months

Service member difficulty with completing work tasks and quality; 6 items with Likert-type responses: 1 = No difficulty at all to 5 = Extreme difficulty, mean score created from all items, with possible score range from 1 to 5.

Higher levels indicating greater impairment (worse). Source: Subscale of Overall Functional Impairment by Herrell et al., 2014

9-months
Walter Reed Functional Impairment Scale: Personal Functioning Subscale (PFI)
Time Frame: 9-months

Service member difficulty with getting personal life skills completed; 2 items with Likert-type responses: 1 = No difficulty at all to 5 = Extreme difficulty, mean score created from all items, with possible score range from 1 to 5.

Higher levels indicating greater impairment (worse). Source: Subscale of Overall Functional Impairment by Herrell et al., 2014

9-months
Walter Reed Functional Impairment Scale: Social Functional Impairment Subscale (SFI)
Time Frame: 9-months

Service member difficulty functioning in social situations; 4 items with Likert-type responses: 1 = No difficulty at all to 5 = Extreme difficulty, mean score created from all items, with possible score range from 1 to 5.

Higher levels indicating greater impairment (worse). Source: Subscale of Overall Functional Impairment by Herrell et al., 2014

9-months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Family Supportive Supervisor Behaviors (FSSB)
Time Frame: 4-months

Perceived supervisor support for work-family integration as reported by service member, 4 items, with responses on Likert-type scale 1=Strongly disagree to 5= Strongly agree, overall score created by mean score, with possible scores ranging from 1 to 5..

Higher scores indicating higher levels of support (better) Source: Hammer et al., 2013

4-months
Sleep Leadership
Time Frame: 4-months

Perceived supervisor support for sleep health as reported by service member, 8 items, with responses on Likert-type scale 1=Never to 5= Always, overall score created by mean score, with possible scores ranging from 1 to 5..

Higher scores indicating higher levels of support (better) Source: Modified version of Gunia et al., 2015

4-months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Leslie Hammer, PhD, Oregon Health and Science University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

  • Hobfoll, S. E., Vinokur, A. D., Pierce, P. F., & Lewandowski-Romps, L. (2012). The combined stress of family life, work, and war in Air Force men and women: A test of conservation of resources theory. International Journal of Stress Management, 19(3), 217-237.

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)

July 21, 2017

Primary Completion (Actual)

May 22, 2020

Study Completion (Actual)

December 4, 2020

Study Registration Dates

First Submitted

October 19, 2016

First Submitted That Met QC Criteria

October 25, 2016

First Posted (Estimated)

October 27, 2016

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

November 12, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • W81XWH-16-1-0720

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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