Digital Exercise for Middle-Aged Adults With Type 1 Diabetes and Other Absolute Insulin Deficiency Diabetes
Informatics-Based Digital Intervention to Promote Safe Exercise in Middle-Aged Adults With Type 1 Diabetes and Other Absolute Insulin Deficiency Diabetes - A Feasibility Study
2 other identifiers
interventional
24
1 country
1
Brief Summary
The challenges of living with type 1 diabetes often stand in the way of getting enough exercise. Continuous blood sugar monitoring has revolutionized type 1 diabetes care but remains underutilized to sustainably support exercise and related behaviors. This research will develop a mobile application that delivers personalized encouragement and data-driven health insights based upon patterns in blood sugar, exercise, mood, and sleep, to assist people with type 1 diabetes in exercising more frequently and confidently.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Nov 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 19, 2023
CompletedFirst Posted
Study publicly available on registry
October 24, 2023
CompletedStudy Start
First participant enrolled
November 2, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 11, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
October 25, 2024
CompletedResults Posted
Study results publicly available
September 17, 2025
CompletedSeptember 17, 2025
August 1, 2025
11 months
October 19, 2023
August 6, 2025
August 28, 2025
Conditions
Outcome Measures
Primary Outcomes (3)
Feasibility of Usage
Minutes of using application to exercise. 0 minutes/week is the lowest value, 150 minutes/week meets clinically recommended amounts.
4 weeks
Acceptability
Likert-style survey of participant satisfaction. Responses are on a scale from 1 (very dissatisfied) to 5 (very satisfied)
4 weeks
Accuracy
Accuracy to predict lapses in exercise behavior ahead of time. 50% accuracy is the lowest possible value (ie, equivalent to random guessing), 80% accuracy is the goal of the study, and 100% accuracy would be the highest possible accuracy. This is the single outcome of a regression analysis across the entire sample. Being a single outcome, there is no measure of dispersion.
4 weeks
Secondary Outcomes (3)
Motivation States for Physical Activity
6 weeks
Moderate to Vigorous Physical Activity
6 weeks
Interview Themes
6 weeks
Study Arms (1)
Digital Exercise
EXPERIMENTALInterventions
A mobile application that delivers personalized encouragement and data-driven health insights based upon patterns in blood sugar, exercise, mood, and sleep, to assist people with type 1 diabetes in exercising more frequently and confidently
Eligibility Criteria
You may qualify if:
- Diagnosis with type 1 diabetes (T1D) or other insulin deficiency diabetes (latent autoimmune disease of adulthood, diabetes secondary to pancreatitis)
- Low exercise levels
- Smartphone ownership
- English literacy
- Under regular care by a healthcare provider
- Home Broadband wireless Internet or cell phone network (≥25 mbps downloads, ≥3 mbps uploads)
You may not qualify if:
- Diabetic ketoacidosis not clearly related to pump site failure in past 6 months
- \>1 episode of severe hypoglycemia (altered mental and/or physical status requiring assistance from another person for recovery) in past 6 months
- A1c ≥10.0%
- Resting blood pressure \>160mmHg systolic or \>100 mmHg diastolic
- Myocardial infarction or angina in past 12 months
- Uncontrolled arrhythmia (e.g., Afib with RVR, new onset Afib, ventricular tachycardia, escape rhythms)
- Congestive heart failure (stage 3 or 4)
- Exercise-induced asthma (not controlled on inhalers)
- Chronic obstructive pulmonary disease (requiring home oxygen)
- Renal failure
- Pregnancy
- Cognitive impairment
- Severe retinopathy or neuropathy.
- Other chronic disease or physical disability that would influence exercise intervention (e.g., recent spinal surgery)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yale Universitylead
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)collaborator
- Exerscrip LLCcollaborator
Study Sites (1)
Yale School of Medicine
New Haven, Connecticut, 06510, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
This was a pilot study focused on feasibility and acceptability, so efficacy cannot be determined.
Results Point of Contact
- Title
- Garrett Ash
- Organization
- Yale University
Study Officials
- PRINCIPAL INVESTIGATOR
Garrett Ash, PhD
Yale University
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 19, 2023
First Posted
October 24, 2023
Study Start
November 2, 2023
Primary Completion
October 11, 2024
Study Completion
October 25, 2024
Last Updated
September 17, 2025
Results First Posted
September 17, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share