Prediction arterial hypertension in health workers, through a regression model

del Rocío Gordillo Cortaza J.; Viteri Gómez G.R.; Matute Fernández J.O.; Brito Tovar Y.M.; Miranda Cali L.R.; Ochoa Montoya Y.T.; Quintana Columbus R.; Torres Flores P.A.; Medina Moreno E.M.; Vásquez Rodríguez A.N.; Palomino Quispe L.P.; Gomez Rutti Y.Y. · Nutricion Clinica y Dietetica Hospitalaria (2023) · DOI: 10.12873/433gomez

Resumen

Introduction: Arterial hypertension is among the five main causes of disability and death in the world. The main factors associated with the presence of arterial hypertension are age, the presence of a family history, obesity among others. Objectives: Predict the probability of presenting arterial hypertension in health workers, through a regression model. Methods: Cross-sectional study, access was obtained to the electronic medical record of the occupational medicine department; consists of a sample of 748 health workers. The binary logistic regression model was used. Results: The age range was from 22 to 75 years, 481 were women (x᳒=42.05 years, DE=9.96) and 267 men (x᳒=41.26 years, DE=10.19). systolic hypertension was x᳒=118.65 mmHg (SD=16.9). Male workers are more likely to have arterial hypertension (p<0.000). A decrease in age and weight has a lower probability of suffering arterial hypertension (p<0.000). However, those who present an increase in the percentage of body fat, fat-free mass, are more likely to present arterial hypertension (p<0.000). There was no significance with the variables family history of hypertension (p=0.057) and work area (p=.0.656). Conclusion: The variables associated with the risk of arterial hypertension were sex, weight, age, body fat, and fatfree mass.

Instituciones: Universidad César Vallejo; Universidad Privada del Norte