Weight Management
Conditions
Keywords
calorie tracking, weight loss, weight management program, food intake
Brief summary
To examine is user knowledge of a dietary self-monitoring (DSM) calorie tracking app and improving patient adherence to daily caloric food intake to help with weight loss.
Detailed description
The research question guiding this project is: In adults with a BMI greater than 25 kg/m2, does a 1-hour education session on using a calorie-tracking application improve adherence to a calorie-restricted weight management program over eight weeks? This project aimed to increase patient knowledge with the DSM tool. To Increase adherence to the calorie-restricted diet program and, finally, to increase weight loss in the program participants of the 8-week program
Interventions
access the impact of a one-hour dietary self-monitoring tool education session for participants in a calorie-restricted weight management program on their knowledge of the use of the tool to help them adhere to a calorie-restricted weight management program
Sponsors
Study design
Intervention model description
The subject population will consist of adults 18 years of age and older with a Body Mass Index (BMI) greater than 25 kg/m2
Eligibility
Inclusion criteria
* 18 years of age and older with a Body Mass Index (BMI) greater than 25 kg/m2
Exclusion criteria
* Younger than18 years of age with a Body Mass Index (BMI) less than 25 kg/m2
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Perceived Competence Scale (PCS) Score | Baseline | The Perceived Competence Scale (PCS) will be the open-access validated tool used for this project. This will be the 4 questions pretest/posttest utilized. A 1-hour education session will provide training on the use of a DSM calorie-tracking app. Following this will be an 8-week in-person weight management program focusing on a daily calorie and carb restriction and protein goal. Each item is scored from 1 to 4, where a score of 1 indicates low perceived competence and a score of 4 reflects high perceived competence. Scores are summed and then averaged for each subscale, resulting in four separate subscale means. |
Countries
United States