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Sleep Optimization to Improve Glycemic Control in Adults With Type 1 Diabetes

Sleep Optimization to Improve Glycemic Control in Adults With Type 1 Diabetes

Status
Active, not recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04506151
Acronym
SOPT
Enrollment
144
Registered
2020-08-10
Start date
2021-01-19
Completion date
2026-04-30
Last updated
2025-08-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes

Brief summary

Up to 40% of adults with type 1 diabetes have insufficient sleep which is associated with negative health consequences including poor blood glucose control and greater diabetes complications. In this study, a sleep intervention (Sleep-Opt) that uses wearable sleep tracking technology, telephone coaching and informational content designed to improve sleep and glycemic control in working-age adults with type 1 diabetes. Sleep-Opt could lead to reduced development of diabetes complications and improve quality of life for adults with type 1 diabetes.

Detailed description

Despite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life (QoL) have also been linked to sleep variability and insufficient sleep duration. The American Diabetes Association Standards of Medical Care in Diabetes incorporated sleep as an important component of the medical evaluation in persons with diabetes. However, no specific recommendation was given as to how to improve sleep. A significant gap of knowledge exists regarding the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration and glycemic control (A1C); other glycemic parameters (glycemic variability, time in range), diabetes distress, self-management behavior, QoL, and other patient reported outcomes in working-age adults with T1D and habitual increased sleep variability or short sleep duration. To achieve these aims, a randomized controlled trial is planned in 120 working age adults (18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (\> 1 hour/week) or insufficient sleep duration (\< 6.5 hours per night). Eligible subjects will be randomized to the Sleep-Opt group or healthy living attention control group for twelve weeks. A one-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and time in range using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that this study team developed that leverages the rapidly increasing public interest in sleep tracking by consumers (+500% in 3 years). The behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. At midpoint (Week 6) completion (Week 12) and post-program (Week 24), baseline measures will be repeated to determine differences between the two groups and sustainability of the intervention.

Interventions

BEHAVIORALSleep-Opt

12-week behavioral intervention

BEHAVIORALHealthy Living

Healthy Living

Sponsors

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
University of Illinois at Chicago
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Investigator, Outcomes Assessor)

Intervention model description

Sleep optimization intervention will be compared to an attention control group

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No

Inclusion criteria

* adults aged 18-65 years * clinical diagnosis of type 1 diabetes minimum of one year * reported habitual sleep variability (1 hour/week or more) or sleep duration less than 6.5 hrs/night during work- or weekdays (confirmed with actigraphy sleep watch) * a desire to improve sleep * own a smartphone

Exclusion criteria

* insomnia symptoms * at high risk for obstructive sleep apnea * severe hypoglycemia episode in the past 6 months (e.g. loss of consciousness) * A1C greater than 10% * rotating shift or night shift work * use of sleep medications/aids * renal impairment (estimated glomerular filtration rate \< 45 ml/min) * significant current medical morbidities (such as heart failure, cirrhosis, chronic obstructive pulmonary disease requiring oxygen, active treatment for cancer, depression, history of stroke with neurological deficits * breast feeding, pregnant, or planning pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Sleep variabilityChange from week 0, 6, 12, 24Standard deviation total sleep time for one week
Sleep durationChange from weeks 0. 6, 12, 24total sleep time
Glycemic controlChange from week 0. 6, 12, 24HbA1c blood test

Secondary

MeasureTime frameDescription
Diabetes distressChange from week 0. 6, 12, 24T1D Diabetes Distress Scale score- higher numbers indicate greater distress
MoodChange from week 0. 6, 12, 24Center for Epidemiological Studies - Depressed Mood score - Higher numbers more depressive mood
Self-management behaviorChange from week. 6, 12, 24Self-Management Questionnaire score- higher numbers indicate better self-management
FatigueChange from week 0. 6, 12, 24Patient Reported Outcomes Measure (PROMIS) fatigue scale score - higher numbers greater fatigue

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 14, 2026