NCT04828655

Analysis of Bioparametric Measures for Correlating Daily Habits and Reducing Blood Pressure

Análisis de Medidas bioparamétricas Para Correlacionar Los hábitos Diarios y Reducir la tensión Arterial

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 36 (actual)
• Sponsor: University of Alicante · Academic / Other
• Sex: All
• Age: 40 Years
• Healthy volunteers: Accepted

Summary

To study the effects of the use of a mobile application plus recommendations based on a Mediterranean diet on the intake of micronutrients from natural sources (not drugs) on health indicators, cardiovascular parameters (blood pressure...), physical condition and body composition in a Spanish adult population.

Detailed description

In the Valencian Community, 93% of deaths appear to be related to (non-communicable) diseases such as: obesity, hypertension and diabetes. In 2013, cardiovascular diseases were the leading cause of death in women (34.4%) and the second in men (28.0%). There is a forecast that overweight and obesity will reach levels of 89% and 85% in men and women, respectively, by 2030. This will result in an increase in the obesity-related prevalence of coronary heart disease by 97%. The promotion of research on arterial hypertension and how it could be reduced is one of the basic pillars in decreasing the prevalence and incidence in the Spanish population. Research should anticipate and develop treatments and vaccines that prevent new scenarios of widespread infection. Therefore, the main objective is to study the effects of the use of a mobile application plus recommendations based on a Mediterranean diet on the intake of micronutrients from natural sources (not drugs) on health indicators, cardiovascular parameters (blood pressure...), physical condition and body composition in the adult Spanish population.

Conditions

• Hypertension
• Diet, Mediterranean
• Cardiovascular Diseases
• Exercise
• Machine Learning
• Overweight and Obesity
• Body Composition
• Triglyceride-Storage; Disease

Interventions

Type	Name	Description
BEHAVIORAL	Use of a mobile application based on machine learning with the aim of improving health and body composition parameters.	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.

Timeline

• Start date: 2020-09-01
• Primary completion: 2021-01-07
• Completion: 2021-05-31
• First posted: 2021-04-02
• Last updated: 2021-09-08

Locations

1 site across 1 country: Spain