Improvement of Physical and Physiological Parameters Through the Use of a Mobile App

NCT ID: NCT05093803

Last Updated: 2022-10-03

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 70 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2020-07-01
• Study Completion Date: 2021-12-30

Brief 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.

Detailed Description

Scientific evidence has shown that the adoption of the Mediterranean diet is a protective factor against the appearance of several types of cancer, cardiovascular diseases, aging and obesity due to the amount of nutrients with anti-cancer, anti-inflammatory and anti-obesity properties that jointly contribute to the maintenance of health status. The antitumor effects of the Mediterranean diet are mainly due to the combination of antioxidant elements, fiber and polyunsaturated fats. Therefore, this dietary pattern is essential as a preventive measure against the onset of cancer and other chronic diseases, but also to reduce health care costs.

Monitoring physical activity should be considered as a central factor when addressing precision nutrition. Perform physical activity and exercise, as they are key components of energy expenditure and balance, in addition, structural changes occur in muscles, increase in the number of mitochondria in fiber, secretion of metabolically beneficial hormones with reversal of muscle insulin resistance and reduction of hepatic lipogenesis. Regardless of intensity, short-term exercise has been shown to improve adiposity and insulin sensitivity, which may help reduce metabolic risk. Boutcher et al. also demonstrated that intermittent aerobic and anaerobic exercise performed at an intensity >70% of maximal oxygen uptake significantly reduces ambulatory and office blood pressure in hypertensive individuals.

The development of this app aims, through self-management and visualizing the altered parameters and how they will evolve in your body in the short, medium and long term, to increase the population's commitment to these pathologies, in order to improve their health.

Conditions

Hypertension; Diet, Healthy; Body Weight; Obesity; Cholesterol; Lipidosis; Machine Learning

Study Design

• Allocation Method: NON_RANDOMIZED
• Intervention Model: SEQUENTIAL
• Primary Study Purpose: PREVENTION
• Blinding Strategy: SINGLE

Study Groups

CONTROL GROUP

Recommendations on healthy eating habits based on the Mediterranean diet and moderate physical activity.

Group Type: ACTIVE_COMPARATOR

CONTROL GROUP

Intervention Type: BEHAVIORAL

Intervention based on measurements of health parameters before and after providing participants with personalized dietary and physical activity recommendations.

APP GROUP

Recommendations on healthy eating habits based on the Mediterranean diet and moderate physical activity through the use of an app based on machine learning, so they have constant stimuli for the improvement of the parameters.

Group Type: EXPERIMENTAL

HEALTH APP GROUP

Intervention Type: BEHAVIORAL

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.

Interventions

CONTROL GROUP

Intervention based on measurements of health parameters before and after providing participants with personalized dietary and physical activity recommendations.

Intervention Type: 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.

Intervention Type: BEHAVIORAL

Other Intervention Names

Nutritional and physical activity intervention through the use of an app.

Eligibility Criteria

Inclusion Criteria

• Men and women over 21 years of age

Exclusion Criteria

• Volunteers who do not have access to a smartphone.

• Minimum Eligible Age: 21 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Alicante

OTHER

Sponsor Role: lead

Responsible Party

Prof. Dr. Alejandro Martínez-Rodríguez

Assistant Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Javier Sánchez Sánchez, Full

Role: PRINCIPAL_INVESTIGATOR

European University of Madrid

Locations

Nutrición Selecta

Elche, Alicante, Spain

Countries

Spain

Other Identifiers

UA-2021-03-27

Identifier Type: -

Identifier Source: org_study_id