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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06098729
Other study ID # 2000035846
Secondary ID K01DK129441
Status Recruiting
Phase N/A
First received
Last updated
Start date November 2, 2023
Est. completion date August 2024

Study information

Verified date December 2023
Source Yale University
Contact Garrett Ash, PhD
Phone 2034443079
Email garrett.ash@yale.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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.


Recruitment information / eligibility

Status Recruiting
Enrollment 24
Est. completion date August 2024
Est. primary completion date August 2024
Accepts healthy volunteers No
Gender All
Age group 30 Years to 65 Years
Eligibility Inclusion Criteria: - 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) Exclusion Criteria: - 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 >145mmHg systolic or >90 mmHg diastolic - Myocardial infarction or angina in past 6 months - Renal failure - Pregnancy - Cognitive impairment - Severe retinopathy or neuropathy. - Other chronic disease or physical disability that would influence exercise intervention

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Digital Exercise
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

Locations

Country Name City State
United States Yale School of Medicine New Haven Connecticut

Sponsors (3)

Lead Sponsor Collaborator
Yale University Exerscrip LLC, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary 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
Primary Acceptability Likert-style survey of participant satisfaction. Responses are on a scale from 1 (very dissatisfied) to 5 (very satisfied) 4 weeks
Primary 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. 4 weeks
Secondary Motivation states for physical activity Cravings for Rest and Volitional Energy Expenditure (CRAVE) survey of motivation states for physical activity. Scores range from 0 (not at all) to 10 (more than ever). 6 weeks
Secondary Moderate to vigorous physical activity Minutes of moderate to vigorous physical activity registered by hip accelerometer. 0 minutes/week is the lowest value, 150 minutes/week meets clinically recommended amounts. 6 weeks
Secondary Interview themes Qualitatively-identified determinants and sequalae of motivation states for physical activity 6 weeks
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