Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Diagnostic performance of three anthropometric indices of weight and height for metabolic syndrome in workers

Zeñas-Trujillo G.Z.; Vera-Ponce V.J.; Trujillo Ramírez I. · Revista Cubana de Medicina Militar (2023)

Resumen

Introduction: Metabolic syndrome is associated with long-term chronic diseases, which is why different ways of obtaining an early diagnosis are sought. Objective: To determine the diagnostic yield of 3 anthropometric indices of weight and height for metabolic syndrome in a sample of Peruvian workers. Methods: The population are workers from 18 to 65 years old, both sexes, occupation operators and administrators; the studied variables were: age, sex, occupation, weight, height, waist circumference, history of type 2 diabetes mellitus, pressure systolic and diastolic blood pressure, fasting glucose, triglycerides, and high-density lipoprotein; 370 workers were included, receiver operating characteristic curves (ROC) were created with their respective area under the curve, obtaining the sensitivity and specificity of each of the indices. Results: Of the total number of workers, 20% presented Metabolic Syndrome; 46.76% were women, 60% drank alcohol at some time, and 5.14% reported having smoked. The Body Mass Index the greatest ROC= 0.73; cutoff= 26.04; sensitivity= 78.4 and specificity= 67.9) followed by the New Body Mass Index (ROC= 0.70; cutoff= 27.85; sensitivity= 68.9 and specificity= 70.6), the last place was occupied by the Triponderal Index (ROC= 0.66; cutoff= 16.67; sensitivity= 67.6 and specificity= 64.5); the parameters for metabolic syndrome showed a statistically significant association. Conclusion: Body Mass Index is the best diagnostic yield for Metabolic Syndrome and could be a useful predictor to detect this syndrome.

Instituciones: Universidad Nacional Mayor de San Marcos; Universidad Ricardo Palma; Universidad Tecnológica del Perú