Effectiveness of Smartphone Application for Weight Loss in Healthy Female Adults
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Weight Loss
- Sponsor
- Riphah International University
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- Weight
- Status
- Completed
- Last Updated
- 2 years ago
Overview
Brief Summary
The aim of this study is
To determine the effectiveness of smartphone application for weight loss in healthy female adults.
To determine the association between fitness application usage and physical activity behavior of the healthy female adults.
Detailed Description
Obesity has turned into a significant, rising well-being epidemic around the world. Doing almost no physical work has been connected with chronic weakness results and diminished personal satisfaction in adulthood. It has been perceived that innovation can uphold wellbeing upgrades around the world. The applications that target wellbeing advancement have turned into a focal piece of individuals' lives and have exhibited enormous expansions being used. Proper evidence behind usage of smart phone application for weight loss is sparse and is based on different clinical experiences and a smaller number of studies with limited methodological design. This study will contribute to describing the effectiveness of smartphone application for weight loss in female adults as well as to determine the association between fitness application usage and physical activity behavior.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Adult females
- •Age between 18-40 years.
- •Individuals with BMI ≥ 25
Exclusion Criteria
- •Pathological conditions affecting any system
- •Suffering from recent unhealed MSK injury/Trauma
Outcomes
Primary Outcomes
Weight
Time Frame: 3 months
It is the estimation of weight without wearing extra things by the individual. Excess or reduced weight is viewed as a sign of deciding an individual's health, with body volume estimation giving an additional aspect by calculating the distribution of body weight. A weight machine is usually used for this purpose. Weight machine is a gadget used to measure weight or mass, which is also called weight scale and weight balance system. The conventional scale comprises of two plates suspended at equal distances from a fulcrum. However, in this study, a digital weight machine will be used. The hardware comprises of a load cell or a weighing scale. The load cell calculates the person's weight and turns the mechanical force into electrical signals that can be easily obtained after microcontroller processing. Excess or reduced weight is viewed as a sign of deciding an individual's health, with body volume estimation giving an additional aspect by calculating the distribution of body
BMI
Time Frame: 3 months
BMI stands for Body Mass Index. Mathematically it is calculated as, an individual's weight in kilograms (or pounds) divided by the square of level in meters (or feet). The categories of BMI are as follows: \< 18.5 as underweight, 18.5 \< 25 as normal weight, BMI 25 \< 30 as overweight, BMI 30 \< 35 as low obesity, BMI 35 \< 40 as medium obesity and BMI ≥ 40 as extreme obesity
Secondary Outcomes
- VO2 max(3 months)
- Blood Pressure(3 months)
- Exercise adherence(3 months)
- MyNetDairy App(3 months)
- Level of physical activity(3 months)