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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
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04506151
Acronym
SOPT
Enrollment
144
Registered
2020-08-10
Start date
2021-01-19
Completion date
2025-12-21
Last updated
2026-08-27

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

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

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 Variability Week 12Week 12Standard deviation total sleep time for one week
Sleep Variability Week 24Week 24Standard deviation total sleep time for one week
Sleep Duration Week 6Weeks 6total sleep time minutes
Sleep Duration Week 12Week 12total sleep time in minutes
Sleep Duration Week 24Week 24total sleep time in minutes
HbA1C Week 6Week 6Hemoglobin A1C week 6, %
HbA1C Week 12Week 12HbA1c blood test
HbA1C Week 24Week 24HbA1c blood test
Sleep Variability Week 6Week 6Standard deviation total sleep time for one week

Secondary

MeasureTime frameDescription
Glycemic Variability Week 24Week 24Coefficient of variation (CV%), continuous glucose monitoring (CGM)-derived glucose standard deviation (SD) divided by the mean and multiplied by 100.
Glucose Time-in-range Week 6Week 6Percent of time continuous glucose monitoring (CGM)-derived glucose is between 70-180 mg/dL.
Glucose Time-in-range Week 12Week 12Percent of time continuous glucose monitoring (CGM)-derived glucose is between 70-180 mg/dL.
Glucose Time-in-range Week 24Week 24Percent of time continuous glucose monitoring (CGM)-derived glucose is between 70-180 mg/dL.
Fatigue Week 12Week 12Patient Reported Outcomes Measure (PROMIS) fatigue scale score measures fatigue. The total score was converted to T-scores (with T-scores, 50 indicates the population mean with a standard deviation of 10). Mean T-scores were calculated. Higher scores reflect greater fatigue.
Diabetes Distress Week 6Week 6Type 1 Diabetes Distress Scale measures diabetes distress. Item mean scores calculated (sum of scores/number of items) ranges from 1-6 Higher scores indicated greater distress Unit of measure = units on a scale
Diabetes Distress Week 12Week 12Type 1 Diabetes Distress Scale measures diabetes distress. Item mean scores calculated (sum of scores/number of items) ranges from 1-6 Higher scores indicated greater distress Unit of measure = units on a scale
Diabetes Distress Week 24Week 24Type 1 Diabetes Distress Scale measures diabetes distress. Item mean scores calculated (sum of scores/number of items) ranges from 1-6 Higher scores indicated greater distress Unit of measure = units on a scale
Self-management Behavior Week 6Week 6Diabetes Self Management Questionnaire-R (DSMQ-R) measures diabetes self-management Item mean scores calculated (sum of scores/maximum possible sum of items \* 10). Ranges from 0-10. Higher numbers indicate better self-management behavior Unit of measure = units on a scale
Self Management Behavior Week 12Week 12Diabetes Self Management Questionnaire-R (DSMQ-R) measures diabetes self-management Item mean scores calculated (sum of scores/maximum possible sum of items \* 10). Scores ranges from 0-10. Higher numbers indicate better self-management behavior Unit of measure = units on a scale
Self Management Behavior Week 24Week 24Diabetes Self Management Questionnaire-R (DSMQ-R) measures diabetes self-management Item mean scores calculated (sum of scores/maximum possible sum of items \* 10). Ranges from 0-10. Higher numbers indicate better self-management behavior Unit of measure = units on a scale
Quality of Life Week 6Week 6Diabetes Quality of Life scale measures quality of life Total quality of life score calculated as follows: (Raw total score - lowest possible score)/raw score range \* 100. Scores range from 0-100. Scores are reverse coded so that higher numbers indicate better quality of life. Unit of measure = units on a scale
Quality of Life Week 12Week 12Diabetes Quality of Life scale measures quality of life Total quality of life score calculated as follows: (Raw total score - lowest possible score)/raw score range \* 100. Scores range from 0-100. Scores are reverse coded so that higher numbers indicate better quality of life. Unit of measure = units on a scale.
Quality of Life Week 24Week 24Diabetes Quality of Life scale measures quality of life Total quality of life score calculated as follows: (Raw total score - lowest possible score)/raw score range \* 100. Scores range from 0-100. Scores are reverse coded so that higher numbers indicate better quality of life. Unit of measure = units on a scale.
Fatigue Week 24Week 24Patient Reported Outcomes Measure (PROMIS) fatigue scale score measures fatigue. The total score was converted to T-scores (with T-scores, 50 indicates the population mean with a standard deviation of 10). Mean T-scores were calculated. Higher scores reflect greater fatigue.
Fatigue Week 6Week 6Patient Reported Outcomes Measure (PROMIS) fatigue scale score measures fatigue. The total score was converted to T-scores (with T-scores, 50 indicates the population mean with a standard deviation of 10). Mean T-scores were calculated. Higher scores reflect greater fatigue.
Mood Week 6Week 6Center for Epidemiological Studies-Depression (CES-D) measures depressive mood. Total summed score ranges from 0-60. Higher scores indicate greater depressive mood. Unit of measure = units on a scale.
Mood Week 12Week 12Center for Epidemiological Studies-Depression (CES-D) measures depressive mood. Total summed score ranges from 0-60. Higher scores indicate greater depressive mood. Unit of measure = units on a scale.
Mood Week 24Week 24Center for Epidemiological Studies-Depression (CES-D) measures depressive mood. Total summed score ranges from 0-60. Higher scores indicate greater depressive mood. Unit of measure = units on a scale.
Subjective Sleep Quality Week 6Week 6Pittsburgh Sleep Quality Index (PSQI) measures subjective sleep quality. Total summed score ranges 0-21. Higher score reflects poorer sleep quality. Unit of measure = units on a scale.
Subjective Sleep Quality Week 12Week 12Pittsburgh Sleep Quality Index (PSQI) measures subjective sleep quality. Total summed score ranges 0-21. Higher score reflects poorer sleep quality. Unit of measure = units on a scale.
Subjective Sleep Quality Week 24Week 24Pittsburgh Sleep Quality Index (PSQI) measures subjective sleep quality. Total summed score ranges 0-21. Higher score reflects poorer sleep quality. Unit of measure = units on a scale.
Glycemic Variability Week 6Week 6Coefficient of variation (CV%), continuous glucose monitoring (CGM)-derived glucose standard deviation (SD) divided by the mean and multiplied by 100.
Glycemic Variability Week 12Week 12Coefficient of variation (CV%), continuous glucose monitoring (CGM)-derived glucose standard deviation (SD) divided by the mean and multiplied by 100.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORPamela Martyn-Nemeth, PhD

University of Illinois at Chicago

Participant flow

Recruitment details

Participants were recruited both locally and nationally. Local recruitment was achieved through the University of Illinois Chicago medical center/university, diabetes clinics in the Chicago metropolitan area, diabetes websites and organizations, using flyers, e-announcements, recruitment letters and listservs. Participants were recruited nationally through Research Match (www.researchmatch.org) and the T1D Exchange, and diabetes social media sites.

Pre-assignment details

After those who met study criteria by initial phone screening and informed consent was obtained, participants completed a 1-week run-in period and a confirmation of inclusion criteria, which served as baseline (week 0) data collection.

Baseline characteristics

Characteristic
Age, Continuous38.2 Years
STANDARD_DEVIATION 11.5
Center for Epidemiological Studies Depression Scale was used to measure depressive mood10.22 Scale score
STANDARD_DEVIATION 7.03
Diabetes Quality of Life Scale was used to measure quality of life69.68 Scale score
STANDARD_DEVIATION 10.84
Diabetes Self Management-Questionnaire R- measures diabetes self-management behavior7.5 Scale score
STANDARD_DEVIATION 1.14
Ethnicity (NIH/OMB)
Hispanic or Latino
8 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
67 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
Glucose time-in-range70.87 percent
STANDARD_DEVIATION 15.3
Glucose variability (coefficient of variation -CV%)37.3 Percent
STANDARD_DEVIATION 6.4
Hemoglobin A1C6.70 percent
STANDARD_DEVIATION 0.83
Pittsburgh Sleep Quality Index was used to measure subjective sleep quality9.06 Scale score
STANDARD_DEVIATION 2.38
PROMIS Fatigue Scale was used to measure fatigue52.08 T-score
STANDARD_DEVIATION 7.87
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
2 Participants
Race (NIH/OMB)
Black or African American
14 Participants
Race (NIH/OMB)
More than one race
4 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
57 Participants
Sex: Female, Male
Female
45 Participants
Sex: Female, Male
Male
24 Participants
Sleep Duration390.8 Minutes
STANDARD_DEVIATION 47
Sleep Variability69.3 minutes
STANDARD_DEVIATION 31.3
Type 1 Diabetes Distress Scale measures diabetes distress1.99 Scale score
STANDARD_DEVIATION 0.93

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 730 / 71
other
Total, other adverse events
0 / 730 / 71
serious
Total, serious adverse events
0 / 730 / 71

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 28, 2026