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

University of Alicante

Status: Completed

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

Treatments: Behavioral: Use of a mobile application based on machine learning with the aim of improving health and body composition parameters.

Study type: Interventional

Funder types: Other

Identifiers

NCT04828655

UA-2020-04-16

Details and patient eligibility

About

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.

Full 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.

Enrollment: 36 patients

Sex: All

Ages: 40+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Over 40 years old
• Healthy.
• Blood pressure levels slightly elevated but less than 140 mm Hg and/or diastolic pressure less than 90 mm Hg.
• Smartphone access

Exclusion criteria

• Subjects with diseases.
• Consumption of drugs and/or supplements.
• Subjects with food intolerances/allergies.
• Subjects with muscle or joint injury.
• Subjects with impossibility to follow up the intervention.
• Refusal of informed consent

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Crossover Assignment

Masking: Single Blind

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36 participants in 2 patient groups

CONTROL GROUP

No Intervention group

Description:

Recommendations on healthy eating habits based on the Mediterranean diet and moderate physical activity. Specific micronutrient intake focused on improving cardiovascular parameters and body composition.

EXPERIMENTAL GROUP

Experimental group

Description:

Recommendations on healthy eating habits based on the Mediterranean diet and moderate physical activity through an application based on machine learning. Intake of specific micronutrients focused on improving cardiovascular parameters and body composition.

Treatment:

Behavioral: Use of a mobile application based on machine learning with the aim of improving health and body composition parameters.