Efficacy of Using Mobile Health Applications for Health
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Diabetes Mellitus, Type 2
- Sponsor
- San Diego State University
- Enrollment
- 30
- Locations
- 1
- Primary Endpoint
- Self-efficacy in weight management assessed by Weight Management and Nutrition Knowledge questionnaire
- Status
- Recruiting
- Last Updated
- 6 months ago
Overview
Brief Summary
The purpose of this study is to determine the effectiveness of mobile health applications in improving health outcomes and type II diabetes outcomes in type 2 diabetics. This study will involve a 6-month long commitment where participants will be expected to weigh themselves every morning, at the same time, and check their blood glucose readings daily before and after meals for at least three meals in the day.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Diagnosed with type II diabetes for at least 3 months
- •Between the age of 18-64
- •Monitors blood glucose regularly (at least once per day)
- •Owns or has access to a bathroom weight scale
- •Owns a smartphone and willing to download mobile app
Exclusion Criteria
- •Does not check blood glucose at least once per day
- •On medications that promote weight gain such as antipsychotic, antidepressant, and steroid hormone medications.
- •Medications for diabetes such as insulin, thiazolidinediones or sulfonylureas are oka
Outcomes
Primary Outcomes
Self-efficacy in weight management assessed by Weight Management and Nutrition Knowledge questionnaire
Time Frame: 6 months
Compare and determine which intervention promotes self-efficacy in weight management. Reporting will be on a scale of 0-100, with higher scores indicating higher self-efficacy
Effectiveness of mHealth apps at changing bodyweight assessed by bodyweight measurements over 6 months
Time Frame: 6 months
Determine if mhealth app is an effective weight loss modality compared to standard weight loss program (control) Outcome measure will be body weight in kg
Long term change in diabetes via A1c
Time Frame: 6 months
Compare and determine which intervention elicits the most change towards diabetes via HbA1c Outcome measure will be HbA1c
Long term change in diabetes via fasting blood glucose
Time Frame: 6 months
Compare and determine which intervention elicits the most change towards diabetes via fasting blood glucose Outcome measure will be fasting blood glucose
Secondary Outcomes
- Quality of Life after using mHealth apps assessed by World Health Organization Quality of Life BREF questionnaire(6 months)