NCT06098729

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
24

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Nov 2023

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 19, 2023

Completed
5 days until next milestone

First Posted

Study publicly available on registry

October 24, 2023

Completed
9 days until next milestone

Study Start

First participant enrolled

November 2, 2023

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 11, 2024

Completed
14 days until next milestone

Study Completion

Last participant's last visit for all outcomes

October 25, 2024

Completed
11 months until next milestone

Results Posted

Study results publicly available

September 17, 2025

Completed
Last Updated

September 17, 2025

Status Verified

August 1, 2025

Enrollment Period

11 months

First QC Date

October 19, 2023

Results QC Date

August 6, 2025

Last Update Submit

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

EXPERIMENTAL
Behavioral: Digital Exercise

Interventions

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

Digital Exercise

Eligibility Criteria

Age30 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Study Sites (1)

Yale School of Medicine

New Haven, Connecticut, 06510, United States

Location

MeSH Terms

Conditions

Diabetes Mellitus, Type 1Latent Autoimmune Diabetes in AdultsPancreatitis

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System DiseasesPancreatic DiseasesDigestive System Diseases

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

  • Garrett Ash, PhD

    Yale University

    PRINCIPAL INVESTIGATOR

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

Locations