Covid-19 and its repercussion on the nutritional Status and gestational Anemia from sociodemographic-obstetric factors

Introduction: Currently, the impact of COVID-19 on sociodemographic and obstetric factors, linked to nutritional status and anemia in pregnant women, represents a significant change in management and healthcare paradigms. Objectives: To consider a multiple logistic regression model and multiple comparisons (Mann-Whitney U test) based on sociodemographic-obstetric factors, nutritional status and anemia in pregnant women before and during Covid-19. Methods: In this study, 113 medical records of pregnant women attended between November 2019 and April 2020 at a Hospital II-1 in Trujillo, Peru were analyzed. Multiple logistic regression model showed a good fit and allowed to correctly classify most of pregnant women. Results: The covariates; employment situation, obstetric history, nutritional condition and anemia were significant. Differences were observed between sociodemographic factors such as employment status, obstetric factors such as obstetric history, and factors related to nutritional status and clinical symptoms of anemia. Conclusions: The impact of COVID-19 reflected in the relationships between sociodemographic and obstetric factors with nutritional status and the anemia diagnosed in pregnant women treated in a Hospital II-1 in Trujillo, Peru, was evidenced

Morphometric comparison of Characidae fish when n < p

Currently, great importance has been given to the study of external morphology, especially in fish, when it is used as a means of identifying hybrids. This paper considers a LASSO model based on the truss protocol to compare morphological covarion patterns between specimens of Colossoma macropomum and the hybrid C. macropomum (♀) x P. orinoquensis (♂). In this study, 25 specimens of C. macropomum and 20 specimens of the hybrid C. macropomum (♀) x P. orinoquensis (♂), respectively, were analyzed. The method "Truss protocol" or "trusses" Strauss and Bookstein (1982) was used. LASSO model achieved to reduce the mean squared error. The final model obtained contains only seven covariates. LASSO model fitted on the morphological covariation patterns between specimens of C. macropomum and the hybrid C. macropomum (♀) x P. orinoquensis (♂) showed a good fit and allowed to correctly classify most of the specimens. Differences were observed in the area of the head and in the anterior part of the fish evidenced in covariates associated with hydrodynamic abilities and with foraging