A literature review of emotional intelligence and nursing education.

AIM: The purpose of this study is to investigate the current state of knowledge about emotional intelligence (EI) in nursing education BACKGROUND: Human relationships and emotions are an integral part of nursing care and contribute to care quality. This part of the profession must be addressed in nursing education to prepare students and deal with their emotions and the patients's. Research on emotional intelligence (EI) in nursing has been particularly developed recently. A broad understanding of many benefits of EI is crucial to include EI in this training program. DESIGN: Systematic literature review METHODS: Undertaken using electronic database (Cairn; PubMed; Science Direct; Wiley online library) and specific search terms. This research covered articles published in English and French between 2007 and 2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (PRISMA) directed the systematic review process. RESULTS: 57 articles are included in this systematic review. The literature focuses on EI and nursing education. The findings categorized into four themes: EI and performances; EI and Physical and mental health; EI and Social Relationship; and EI program. CONCLUSIONS: This literature review reveals that EI has many benefits in nursing students. Several training programs aimed at developing this concept have proven to be effective in nursing education. We believe that a synthesis of this knowledge will then allow us to better understand the benefits of EI for a further implementation in nursing education. Perspectives and recommendations will also be formulated to enable the implementation of emotional skill development programs in such training.

Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition.

Functional longevity is essential for the well-being of horses and the satisfaction of riders. Conventional selection using longevity breeding values calculated from competition results is not efficient because it takes too long to obtain reliable information. Therefore, the objective was to identify early criteria for selection. We assessed two types of early criteria: gait traits of young horses and QTLs. Thus, our aim was to estimate the genetic correlation between gait traits and longevity and to perform a genome-wide association study (GWAS) for longevity. Measurements of gaits by accelerometry were recorded on 1,477 show jumping horses that were 4 to 5 years old. Gait analysis provided 9 principal components describing trot, canter, and walk. Longevity estimated breeding values (EBVs) for stallions were calculated using a survival analysis of more than 900,000 years of performances by 179,448 show jumping horses born from 1981 onwards. Longevity was measured as the number of years spent in competition. Model included region and month of birth, age at first competition, year, and performance level. Longevity EBVs were deregressed to obtain weighted pseudo-performances for 1,968 stallions. Genomic data were available for 3,658 jumping horses. Seventy-eight percent of the horses measured for gaits and twenty-five percent of those measured for longevity were genotyped. A GWAS of longevity revealed no significant QTLs. Genetic parameters between each of the 9 principal components of the gait variables and longevity were evaluated with a bi-trait animal linear mixed model using single-step GBLUP analysis with the relationship matrix constructed from genomic data and genealogy (24,448 ancestors over four generations). The heritability of the gait traits varied from 0.11 to 0.44. The third principal component for trot (high lateral activity) and the first principal component for canter (high dorsoventral activity and low stride frequency) were moderately genetically correlated with higher longevity: rg = 0.38 (0.15) and 0.28 (0.13), respectively. Our study revealed that functional longevity is a polygenic trait with no major genes. We found new correlations between longevity and gait traits. Before using gait characteristics in a selection plan, these correlations need to be understood better at the biomechanical level.