RESUMO
After COVID-19 emerged, alternative methods to laboratory tests for the individualized prediction of SARS-CoV-2 were developed in several world regions. The objective of this investigation was to develop models for the individualized prediction of SARS-CoV-2 infection in a large municipality of Mexico. The study included data from 36,949 patients with suspected SARS-CoV-2 infection who received a diagnostic tested at health centers of the Alvaro Obregon Jurisdiction in Mexico City registered in the Epidemiological Surveillance System for Viral Respiratory Diseases (SISVER-SINAVE). The variables that were different between a positive test and a negative test were used to generate multivariate binary logistic regression models. There was a large variation in the prediction variables for the models of different pandemic waves. The models obtained an overall accuracy of 73% (63-82%), sensitivity of 52% (18-71%), and specificity of 84% (71-92%). In conclusion, the individualized prediction models of a positive COVID-19 test based on SISVER-SINAVE data had good performance. The large variation in the prediction variables for the models of different pandemic waves highlights the continuous change in the factors that influence the spread of COVID-19. These prediction models could be applied in early case identification strategies, especially in vulnerable populations.
RESUMO
Resumen La presente revisión sistemática tuvo como objetivo identificar y analizar las propiedades psicométricas de los instrumentos de alimentación emocional (AE) actualmente validados en México. La búsqueda de los test se realizó con base a los criterios PRISMA en tres bases de datos: Pubmed, Science Direct y Redalyc. Fueron identificados dos instrumentos: El Cuestionario sobre la Conducta Alimentaria Relacionada con las Emociones y el Estrés (EADES) y la Escala de Alimentación Emocional (EAE). El método de validez empleado en ambas escalas fue el análisis factorial exploratorio y de confiabilidad el alpha de Cronbach (α = .91 en el EADES y α =.94 en la EAE). Se concluye que el empleo de estas escalas podría estar en función de la definición conceptual y operacional de la AE que considera cada una, con el fin de retomar la que mejor se adecúe a los objetivos del estudio. Asimismo, se sugiere dar continuidad a la consolidación de las propiedades psicométricas de ambas escalas, a través de ampliar a otras poblaciones (clínicas, de diferentes etapas etarias y residentes de distintas zonas del país) así como emplear los actuales indicadores psicométricos sugeridos (entre ellos el AFC y cálculo del coeficiente omega).
Abstract The objective of this systematic review was to identify and analyze the psychometric properties of the emotional eating (EE) tests currently validated in Mexico. The search was performed according to PRISMA criteria in three databases: Pubmed, Science Direct and Redalyc. Two instruments were identified: The Eating and Appraisal Due to Emotions and Stress Questionnaire (EADES) and the Emotional Eating Scale (EAE). The validity method used in both scales was the exploratory factor analysis and reliability of Cronbach's alpha (α = .91 in the EADES and α = .94 in the EES). It is concluded that the use of these scales could be based on the conceptual and operational definition of the EE that each one considers, in order to retake the one that best suits the objectives of the study. In the same way, it's suggested to give continuity to the consolidation of the psychometric properties of both scales, through expanding to other populations (clinics, of different age groups and residents of different areas of the country) as well as using the currently suggested psychometric indicators (among them the CFA and the calculation omega's coefficient).