Search

Background: One of the challenges of the 21st century is the high turnover rate in the nursing profession due to burnout and mental illness. From a biopsychosocial perspective, an individual's personality is an important vulnerability-resilience factor that comprises four temperament traits (i.e., a person's emotional reactions) and three character traits (i.e., self-regulation systems). Indeed, different personality profiles are associated to different coping strategies and health outcomes. Objective: We investigated and mapped the temperament and character of Swedish newly graduated and employed nurses’ in relation to the Swedish general population and an age-matched sub-sample. Design: In this cross-sectional study, nurses self-reported their personality (Temperament and Character Inventory) at the beginning of their employment. Setting: The data collection was conducted at a hospital in the South of Sweden. Participants: A total of 118 newly graduated and employed nurses (Mage = 25.95±5.58) and 1,564 individuals from the Swedish general population participated in the study. Methods: We calculated T-scores and percentiles for all seven personality dimensions using the Swedish norms (N = 1,564). The profiles were calculated by combining high/low percentiles scores in three temperament dimensions (Novelty Seeking: N/n, Harm Avoidance: H/h, and Reward Dependence: R/r) and in the three character dimensions (Self-Directedness: S/s, Cooperativeness: C/c and Self-Transcendence: T/t). Results: Regarding T-scores, the nurses reported moderately lower Novelty Seeking (> 0.5 SD), slightly higher Harm-Avoidance (about 0.5 SD), moderately higher Persistence (> 0.5 SD) and Reward Dependence (> 0.5 SD), and extremely lower Self-Directedness (> 1 SD). The prevalence of the most common temperament profiles among the nurses (Swedish general population in brackets) were: 39.80% [10.90%] Cautious (nHR), 21.20% [10.90] Reliable (nhR), and 15.30% [16.50%] Methodical (nHr). The prevalence of the most common character profiles among the nurses were: 31.40% [4.90%] Dependent (sCt), 25.40% [14.40%] Apathetic (sct), and 19.50% [8.80%] Moody (sCT). Conclusions: The analyses of the personality profiles showed that High Novelty Seeking (79%), high Harm Avoidance (65%) high Reward Dependence (80%), low Self-Directedness (95%), and low Self-Transcendence (60%) were more prevalent among the newly graduated and employed nurses. This may partially explain newly graduated nurses’ difficulties at work and high turnover rate. After all, a well-developed character is of special importance when working with patients with serious and terminal illness or under large global crises, such as the current pandemic. Hence, both education at universities and development at work need to be person-centered to reduce stress levels and promote positive self-regulation strategies.

Species richness patterns are driven by biotic and abiotic factors, the relative strengths of which are unclear. Here, the authors test how species interactions or environmental traits influence fish richness across over 700 Canadian lakes, showing a surprisingly small role of negative interactions.

Background Multiple factors influence the decision to enter a career in medicine and choose a specialty. Previous studies have looked at personality differences in medicine but often were unable to describe the heterogeneity that exists within each specialty. Our study used a person-centered approach to characterize the complex relations between the personality profiles of resident physicians and their choice of specialty. Methods 169 resident physicians at a large Midwestern US training hospital completed the Temperament and Character Inventory (TCI) and the Satisfaction with Life Scale (SWLS). Clusters of personality profiles were identified without regard to medical specialty, and then the personality clusters were tested for association with their choice of specialty by co-clustering analysis. Life satisfaction was tested for association with personality traits and medical specialty by linear regression and analysis of variance. Results We identified five clusters of people with distinct personality profiles, and found that these were associated with particular medical specialties Physicians with an “investigative” personality profile often chose pathology or internal medicine, those with a “commanding” personality often chose general surgery, “rescuers” often chose emergency medicine, the “dependable” often chose pediatrics, and the “compassionate” often chose psychiatry. Life satisfaction scores were not enhanced by personality-specialty congruence, but were related strongly to self-directedness regardless of specialty. Conclusions The personality profiles of physicians were strongly associated with their medical specialty choices. Nevertheless, the relationships were complex: physicians with each personality profile went into a variety of medical specialties, and physicians in each medical specialty had variable personality profiles. The plasticity and resilience of physicians were more important for their life satisfaction than was matching personality to the prototype of a particular specialty.

Abstract  One of the major challenges facing fishery scientists and managers today is determining how fish populations are influenced by habitat conditions. Many approaches have been explored to address this challenge, all of which involve modeling at one level or another. In this paper, we explore a process-oriented model approach whereby the critical population processes of birth and death rates are explicitly linked to habitat conditions. Application of this approach to five species of Great Lakes fishes including: walleye (Sander vitreus), lake trout (Salvelinus namaycush), smallmouth bass (Micropterus dolomieu), yellow perch (Perca flavescens), and rainbow trout (Onchorynchus mykiss), yielded a number of insights into the modeling process. One of the foremost insights is that processes determining movement and transport of fish are critical components of such models since these processes largely determine the habitats fish occupy. Because of the importance of fish location, an individual-based model appears to be a nearly inescapable modeling requirement. There is, however, a paucity of field-based data directly relating birth, death, and movement rates to habitat conditions experienced by individual fish. There is also a paucity of habitat information at a fine temporal and spatial scale for many important habitat variables. Finally, the general occurrence of strong ontogenetic changes in the response of different life stages to habitat conditions emphasizes the need for a modeling approach that considers all life stages in an integrated fashion. [ABSTRACT FROM AUTHOR]