Neutrosophic method to evaluate the nutritional habits of hypertensive patients in the Laguna II neighborhood in the city of Tulcan

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Johanna Valentina Acosta Rosero
Mayra Jeaneth Jiménez Jiménez
Mónica Alexandra Bustos Villarreal

Abstract

High blood pressure is the most important risk factor for cardiovascular disease, it is often associated with other risk factors such as dietary patterns, elevated blood lipids, obesity, smoking, diabetes mellitus, sedentary lifestyle and stress. There is a familial aggregation of hypertension in both women and men. It is estimated that the individual risk of hypertension is 2.5 times greater if one of the first-degree relatives is hypertensive and increases to almost 4 times if both first-degree relatives have hypertension. Poor diet in hypertensive patients shows that bad eating habits trigger arterial hypertension, which is a chronic increase in blood pressure with values equal to or greater than 140 mmHg systolic pressure and 90mmHg diastolic pressure. One of the main factors of high blood pressure is eating habits, such as the consumption of foods with a lot of salt 72%, with a lot of sugar 80%, fat 73%, junk foods 48%, baked goods 24%, coffee 66%, which alters a person's life. The objective of this research is to develop a neutrosophic method to evaluate the eating habits of hypertensive patients in the Laguna II citadel of the city of Tulcán. The research was carried out using a qualitative, descriptive and transversal approach. The implementation of the neutrosophic method allowed the evaluation of eating habits in hypertensive patients in the Laguna II citadel of the city of Tulcán.

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How to Cite
Neutrosophic method to evaluate the nutritional habits of hypertensive patients in the Laguna II neighborhood in the city of Tulcan. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 31, 126-136. https://fs.unm.edu/NCML2/index.php/112/article/view/488
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How to Cite

Neutrosophic method to evaluate the nutritional habits of hypertensive patients in the Laguna II neighborhood in the city of Tulcan. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 31, 126-136. https://fs.unm.edu/NCML2/index.php/112/article/view/488

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