Alcaide Leyva, José ManuelRomero Saldaña, ManuelGarcía Rodríguez, MaríaMolina Luque, RafaelJiménez Mérida, María del RocíoMolina Recio, Guillermo2023-09-142023-09-142023Alcaide-Leyva, J. M., Romero-Saldaña, M., García-Rodríguez, M., Molina-Luque, R., Jiménez-Mérida, R., & Molina-Recio, G. (2023). Development of a predictive model of cardiovascular risk in a male population from the peruvian amazon. Journal of Clinical Medicine, 12(9), 3199. https://doi.org/10.3390/jcm120931992077-0383http://hdl.handle.net/11268/12289Background: The coexistence of malnutrition due to over- and under-nutrition in the Peruvian Amazon increases chronic diseases and cardiovascular risk. Methods: A cross-sectional study of a male population where anthropometric, clinical, and demographic variables were obtained to create a binary logistic regression predictive model of cardiovascular risk. Results: We compared two methods with good predictive results, finally choosing Model 4 (r2 = 0.57, sensitivity 73.68%, specificity 95.35%, Youden index 0.69, and validity index 94.21), with non-invasive variables such as blood pressure (p < 0.001), hip circumference (p < 0.001), and FINDRISC test result (p < 0.05); Conclusions: We developed a cheap, fast, and non-invasive tool to determine cardiovascular risk in the population of this endemic area.engAttribution 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/journal article10.3390/jcm12093199open accessNutriciónEnfermedad cardiovascularObesidad