Improvement of Physical and Physiological Parameters Through the Use of a Mobile App
NCT05093803 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 70
Last updated 2022-10-03
Summary
To investigate the health effects of a new mobile application (app) for prevention and personalized treatment in people with chronic cardiovascular pathologies associated with body composition.
Conditions
- Hypertension
- Diet, Healthy
- Body Weight
- Obesity
- Cholesterol; Lipidosis
- Machine Learning
Interventions
- BEHAVIORAL
-
CONTROL GROUP
Intervention based on measurements of health parameters before and after providing participants with personalized dietary and physical activity recommendations.
- BEHAVIORAL
-
HEALTH APP GROUP
Use of a mobile application based on machine learning with the aim of improving health parameters and body composition. Specific diet program and moderate physical activity, all guided and mediated by a mobile application. As well as the recording and monitoring of periodic evaluations of health indicators.
Sponsors & Collaborators
-
University of Alicante
lead OTHER
Principal Investigators
-
Javier Sánchez Sánchez, Full · European University of Madrid
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- PREVENTION
- Masking
- SINGLE
- Model
- SEQUENTIAL
Eligibility
- Min Age
- 21 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-07-01
- Primary Completion
- 2021-12-30
- Completion
- 2021-12-30
Countries
- Spain
Study Locations
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