The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women

Brief summary (registry, in English)

The goal of this clinical trial is to evaluate the effect of an algorithm-driven mobile application that provides personalized recommendations for increasing physical activity, which is an important health behavior, in the prevention of obesity and many other related non-communicable diseases in overweight and obese women. Hypotheses of this study are: * The physical activity level of overweight and obese adult women in the intervention group increases. * Body Mass Index decreases in overweight and obese adult women in the intervention group. * The daily step count of overweight and obese adult women in the intervention group increases. Participants will be asked to use the mobile application they received daily and follow their personalized physical activity program. Researchers will compare the experimental and control groups to see if the mobile application affected the physical activity level.

What you commit to

• Study type: Interventional
• Participants enrolled: 80
• From 5 Apr 2024 to the primary completion date, 5 Jul 2024
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 35 years to 60 years · Sex: Female · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.