L
Lilia Castro-Porras
Researcher at National Autonomous University of Mexico
Publications - 14
Citations - 46
Lilia Castro-Porras is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 3, co-authored 8 publications receiving 25 citations.
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Journal ArticleDOI
Stature in adults as an indicator of socioeconomic inequalities in Mexico
Lilia Castro-Porras,Mario E Rojas-Russell,Ángeles Aedo-Santos,Emma Grace Wynne-Bannister,Malaquías López-Cervantes +4 more
TL;DR: In Mexico, adults who are of short stature have unequal living conditions when compared to those of average or high stature, and this could drive increases in health inequity.
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Analysis of the Current Agricultural Production System, Environmental, and Health Indicators: Necessary the Rediscovering of the Pre-hispanic Mesoamerican Diet?
TL;DR: In this article, the authors show that by diversifying our current eating habits through the consumption of products that once were part of traditional diets, we could lower the prevalence of NCD, reduce greenhouse gas emissions, promote crop diversification, reduce extinction risk of species due to human activities, and at the same time, reincorporate traditions into socioeconomic processes.
Journal ArticleDOI
Seroprevalence of dengue in school children in Mexico ages 6-17 years, 2016.
Irma Y. Amaya-Larios,Mario E Rojas-Russell,Malaquías López-Cervantes,Lilia Castro-Porras,Ma Victoria Castro-Borbonio,Elsa Sarti,Esteban Puentes-Rosas,Laura Leticia Tirado-Gómez,Gustavo Olaiz-Fernández,José Ramos-Castañeda +9 more
TL;DR: DENV seroprevalence in Mexico was found to be heterogeneous at the country, regional and state levels and did not adequately reflect recent patterns of transmission, suggesting that utilization of a single epidemiological indicator to define endemic regions should be avoided.
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The utility of the Edmonton Obesity Staging System for the prediction of COVID-19 outcomes: a multi-centre study
Marcela Rodriguez-Flores,Eduardo W. Goicochea-Turcott,Leonardo Mancillas-Adame,Nayely Garibay-Nieto,Malaquías López-Cervantes,Mario E Rojas-Russell,Lilia Castro-Porras,Eduardo Gutiérrez-León,Luis Fernando Campos-Calderón,Karen Pedraza-Escudero,Karina Aguilar-Cuarto,Eréndira Villanueva-Ortega,Joselín Hernández-Ruiz,Guadalupe Guerrero-Avendaño,Sheyla M. Monzalvo-Reyes,Rafael García-Rascón,Israel N. Gil-Velázquez,D. E. Cortes-Hernández,Marcela Granados-Shiroma,Brenda G. Alvarez-Rodríguez,Martha L. Cabello-Garza,Zaira L. González-Contreras,Esteban Picazo-Palencia,Juana M. Cerda-Arteaga,Héctor R. Pérez-Gómez,Roberto Calva-Rodríguez,G Sánchez-Rodríguez,Leslie D. Carpio-Vázquez,María A. Dávalos-Herrera,Karla M. Villatoro-de-Pleitez,Melissa D. Suárez-López,María G. Nevárez-Carrillo,Karina Pérez-Alcántara,Roopa Mehta,E. Diez,Edward W. Gregg +35 more
TL;DR: The performance of the Edmonton Obesity Staging System (EOSS), a clinical classification tool that assesses obesity-related comorbidity, is compared with BMI, with respect to adverse COVID-19 outcomes as discussed by the authors .
Journal ArticleDOI
An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity
Lilia Castro-Porras,Mario E Rojas-Russell,Javier Villanueva-Sánchez,Malaquías López-Cervantes +3 more
TL;DR: The anthropometry-based equation obtained in the present study could be used as a screening tool in clinical and epidemiological studies not only to estimate the %FM, but also to discriminate the obese condition in populations with similar characteristics to the participant sample.