Assessing the Efficacy of Smartphone Calorie Calculator Application on Body Composition With and Without Intervention
Status: | Completed |
---|---|
Conditions: | Obesity Weight Loss |
Therapuetic Areas: | Endocrinology |
Healthy: | No |
Age Range: | 18 - 35 |
Updated: | 11/11/2018 |
Start Date: | October 12, 2017 |
End Date: | October 2, 2018 |
Assessing the Efficacy of Smart Phone Calorie Calculator Application on Body Composition With and Without Intervention
Over nutrition has led to an increasing overweight and obese population. Maintaining a
calorie deficit can be difficult causing many patients to be unsuccessful at weight loss
attempts.
There are many smart phone applications that are labeled as weight loss aids, MyFitnessPal™
being one of these applications. MyFitnessPal ™ assists users to help record calorie intake
to maintain a balanced caloric intake and to avoid over nutrition
Primary Hypothesis: This study is testing the hypothesis that subjects using a smart phone
calorie calculator with intervention will have a greater body fat percentage loss in 8 weeks
when compared to the control group.
Secondary Hypothesis: Subjects using a smart phone calorie calculator with intervention will
report improved self-body image in 8 weeks.
calorie deficit can be difficult causing many patients to be unsuccessful at weight loss
attempts.
There are many smart phone applications that are labeled as weight loss aids, MyFitnessPal™
being one of these applications. MyFitnessPal ™ assists users to help record calorie intake
to maintain a balanced caloric intake and to avoid over nutrition
Primary Hypothesis: This study is testing the hypothesis that subjects using a smart phone
calorie calculator with intervention will have a greater body fat percentage loss in 8 weeks
when compared to the control group.
Secondary Hypothesis: Subjects using a smart phone calorie calculator with intervention will
report improved self-body image in 8 weeks.
All subjects will read and sign an informed consent prior to participation in the study. The
proposed study will be conducted at the Academic Health Care Center of the New York Institute
of Technology, College of Osteopathic Medicine (Old Westbury, NY). Subjects will have 2
testing days where they will have to come into the Academic Health Care Center .
This study will consist of 30 participants and will last 8 weeks. Inclusion criteria will be
male and female NYIT students between the ages of 18-35, a BMI ≥ 25.0, and own their own
smart phone. All subjects will have their body composition measured, blood pressure, and
pulse measured before and at the end of the study.
Participants will be randomly assigned by gender into two groups. Group one, the control
group, will consist of 5 males, and 5 females. Group two, the intervention group, will
consist of 10 males, and 10 females. At the start of the study both groups will have blood
pressure, and pulse recorded, along with a duel x-ray absorptiometry body scan to measure
resting metabolic rate (RMR) and body composition (lean body mass, body fat, BMI). At that
time both groups will also receive the "NYC My Plate Planner", and the "USDA Dietary
Guidelines for Americans 2015-2020".
Both Groups will be instructed to use the MyFitnessPal smart phone weight loss application to
record calorie intake based on their resting metabolic rate determined by the body scan.
Additionally both groups will initially receive a validated confidential survey on body
image. The control group will not be contacted again until the end of the 8 weeks study. The
intervention group will be contacted every week by email to discuss their weekly calorie
intake, and compliance with the program. At week 4 each person in the intervention group will
receive a phone call to discuss their calorie intake, and address any problems, or concerns.
At the end of week 8 both groups will receive a follow up validated confidential survey on
body image. At that time both groups will also return for a follow-up blood pressure
recording, pulse recording, and body composition scan to measure resting metabolic rate and
body composition (lean body mass, body fat, BMI).
proposed study will be conducted at the Academic Health Care Center of the New York Institute
of Technology, College of Osteopathic Medicine (Old Westbury, NY). Subjects will have 2
testing days where they will have to come into the Academic Health Care Center .
This study will consist of 30 participants and will last 8 weeks. Inclusion criteria will be
male and female NYIT students between the ages of 18-35, a BMI ≥ 25.0, and own their own
smart phone. All subjects will have their body composition measured, blood pressure, and
pulse measured before and at the end of the study.
Participants will be randomly assigned by gender into two groups. Group one, the control
group, will consist of 5 males, and 5 females. Group two, the intervention group, will
consist of 10 males, and 10 females. At the start of the study both groups will have blood
pressure, and pulse recorded, along with a duel x-ray absorptiometry body scan to measure
resting metabolic rate (RMR) and body composition (lean body mass, body fat, BMI). At that
time both groups will also receive the "NYC My Plate Planner", and the "USDA Dietary
Guidelines for Americans 2015-2020".
Both Groups will be instructed to use the MyFitnessPal smart phone weight loss application to
record calorie intake based on their resting metabolic rate determined by the body scan.
Additionally both groups will initially receive a validated confidential survey on body
image. The control group will not be contacted again until the end of the 8 weeks study. The
intervention group will be contacted every week by email to discuss their weekly calorie
intake, and compliance with the program. At week 4 each person in the intervention group will
receive a phone call to discuss their calorie intake, and address any problems, or concerns.
At the end of week 8 both groups will receive a follow up validated confidential survey on
body image. At that time both groups will also return for a follow-up blood pressure
recording, pulse recording, and body composition scan to measure resting metabolic rate and
body composition (lean body mass, body fat, BMI).
Inclusion Criteria:
- greater than 25 body mass index, must own a smart phone
Exclusion Criteria:
- currently using any other diet intervention
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