Stability and Change of the Personality Traits Languidity and Flexibility in a Sample of Nurses: A 7-8 Years Follow-Up Study

Personality characteristics of Dutch nurse anesthetists and surgical nurses when compared to the normative Dutch population, a quantitative survey study

BACKGROUND

Working in the perioperative context is complex and challenging. The continual evaluation in this environment underscores the need for adaptability to technological advancements, and requires substantial allocation of resources for training and education. This study aimed to explore personality characteristics of nurse anesthetists and surgical nurses that are instrumental for sustainable employability in technologically advanced environment.

METHODS

Exploratory, cross-sectional survey study including nurse anesthetists and surgical nurses, both certified and in training, and a sample of the normative Dutch population. Personality characteristics were identified with the Big Five Inventory, which consisted of 60 items answered on a five-point Likert scale (strongly disagree to strongly agree).

RESULTS

Specific personality traits were found for nurse anesthetists and surgical nurses when compared to the normative Dutch population. Traits of both nurse anesthetists and surgical nurses differed significantly on all domains of the Big Five Inventory, with the largest differences found within the dimension negative emotionally.

CONCLUSIONS

This study highlights the role of specific personality traits in maintaining employability within the rapidly evolving and technologically advanced landscape of healthcare. It emphasizes the relationship between individual traits and professional excellence, being crucial educational strategies for overall improvement in healthcare.

Association between circadian rhythm and sleep quality among nursing interns: A latent profile and moderation analysis

Background

Disturbances in circadian rhythms are common among night-shift workers and result in poor sleep quality. Nevertheless, the heterogeneity of circadian rhythms and their relationship with sleep quality is less explored in nursing interns. Therefore, we aimed to identify the latent subtypes of circadian rhythm, explore their relationship with sleep quality, and evaluate their moderating role between perceived stress and sleep quality in nursing interns.

Materials and methods

In all, 452 nursing interns were recruited between October 2020 and January 2021 from Be Resilient to Nursing Career (BRNC), which is a multicenter, prospective cohort of a career growth program for nursing students. They were assessed using the 10-item Chinese Perceived Stress Scale, Circadian Type Inventory, and Pittsburgh Sleep Quality Index. Latent profile analysis and moderation analysis were performed.

Results

Overall, 72.3% of the nursing interns reported poor sleep quality. We identified three latent subtypes of circadian rhythms, namely, Vigorousness (40.1%), Inadaptability (18.6%), and Flexibility (41.1%). Females (OR = 1.97, 95% Cl: 1.01-3.83, P = 0.047) with normal body mass index (OR = 1.62, 95% CI: 0.95-2.76, P = 0.078) were prone to Flexibility. Circadian rhythm types significantly moderated the association between perceived stress and sleep quality (P < 0.05).

Conclusion

Nursing interns suffer from poor sleep. There exists heterogeneity of circadian rhythm subtypes in nursing interns, and attention should be paid to those with Inadaptability type. The association between perceived stress and sleep quality is significantly moderated by circadian rhythm subtypes.

More Than Morningness: The Effect of Circadian Rhythm Amplitude and Stability on Resilience, Coping, and Sleep Duration

Self-report tools that measure circadian rhythms have focused primarily on phase. We add to the sparse literature on assessing amplitude and stability. We randomly recruited 1,163 participants who completed several measures. The correlation between the LV scale (amplitude) and FR scale (stability) was -0.12 (p < 0.01). As expected, amplitude was negatively associated with phase (r = -0.64, p < 0.01) while stability showed a weak link with phase (r = 0.07, p < 0.05). Structural equation modeling suggested a close model-fit of the factor structure in the sample (RMSEA = 0.033). The LV scale explained 22% of the variance, while the FR scale explained 23%. Scale reliability was satisfactory for the LV scale (0.68) and good for the FR scale (0.73). Participants with low amplitude or flexible rhythms reported significantly better resilience, coping, and required less daily sleep. We constructed a composite circadian categorical variable to combine the best attributes from the LV and FR scales; participants with both low amplitude and flexible rhythms, reported significantly better resilience, coping, and less sleep need. We found rhythm amplitude decreased with age, while stability remained constant.