- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03398590
mHealth Intervention for Older Adults
Promoting Lifestyle Changes With Mobile Health Technologies for Overweight or Obese Adults With Type 2 Diabetes - Feasibility and Acceptability Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02215
- Joslin Diabetes Center
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- >=65 years of age;
- BMI between 27-40kg/m2
- Availability of wireless Internet service at home;
- Stable body weight during the previous year (i.e., ±10 pounds) ;
- Not being enrolled in another weight loss program in the past six months;
- Diagnosed with type 2 diabetes for at least 2 years;
- Prescribed insulin or oral medications for at least 1 year;
- No changes in medications for at least 6 months before enrolling in the study;
- Use the LoseIt! app on their computer or smartphone for the 5-day practice period;
- Able to read, write and speak English.
Exclusion Criteria:
- Planning frequent travel, vacations or relocation in next 3 months;
- Current use of weight loss medication;
- Have a history of bariatric surgery;
- Have participated in diabetes education in the previous 12 months;
- Are unable to walk 2 blocks, or had an amputation of a lower limb, severe arthritis or other medical condition that prevents walking for exercise;
- Have severe complications of diabetes, including renal disease (albumin/creatinine >300 μg /mg), severe peripheral diabetic neuropathy, severe peripheral vascular disease, symptomatic autonomic neuropathy, history of myocardial infarction, congestive heart failure, or other severe cardiac disease or severe hypertension (systolic blood pressure greater than 160/90 mmHg);
- Have a diagnosis of a serious mental illness, e.g. schizophrenia, bipolar disorder, substance abuse, and/or eating disorders;
- Have severe visual, hearing or cognitive impairments (e.g., dementia, intellectual disability);
- Unable or unwilling to use the mHealth technology equipment (toolkit) for data collection;
- Do not speak, read and write English.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: OTHER
- Allocation: NA
- Interventional Model: SINGLE_GROUP
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: mHealth Intervention for Older Adults
Pilot study to test the feasibility and acceptability of a self-regulation theory-based mHealth behavior intervention for overweight or obese older adults with T2DM. This is a one Group Pretest-Posttest Designed study. Ten participants will be recruited from Joslin Diabetes Center, Boston, MA. They will receive a 2-month, self-regulation theory-based weight loss intervention (five 60-minute, biweekly group sessions) and will be provided with a technology toolkit for self-monitoring including an (1) iPhone Plus, (2) the Lose It! app for self-monitoring of dietary intake, (3) Fitbit for self-monitoring of physical activity, (4) Bluetooth-enabled scale for daily weight, and (5) Bluetooth-enabled blood glucose monitor for testing blood glucose levels. |
Participants will receive a self-regulation theory-based mHealth behavior intervention (5 biweekly group sessions, 60 minutes /session).
An experienced Certified Diabetes Educator from the Joslin Diabetes Center and PI (Dr.
Zheng) who has been trained using self-regulation for weight loss will co-facilitate group sessions.
The intervention combines diet modification and increased physical activity with a weekly weight loss goal as well as focuses on improving participants' three typical self-regulation strategies - self-monitoring, self-evaluation and self-reinforcement.
Intervention duration will last 2 months with subsequent 1-month follow.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Acceptability
Time Frame: From baseline to the end of study (up to 3 months)
|
Actual Use of Technology will be defined as binary (use vs. nonuse) for each day based on data-stamp information.
Then we will calculate percent days of use over time.
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From baseline to the end of study (up to 3 months)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percent weight change
Time Frame: From baseline to the end of study (up to 3 months)
|
Percent weight changes over 3 months
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From baseline to the end of study (up to 3 months)
|
Steps
Time Frame: From baseline to the end of study (up to 3 months)
|
Steps changes over 3 months
|
From baseline to the end of study (up to 3 months)
|
Calorie intake
Time Frame: Mean steps over 3 months
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Calorie intake changes over 3 months
|
Mean steps over 3 months
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Yaguang Zheng, PhD, Boston College Connell School of Nursing
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 17.192.01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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