Perceived Social Support Promotes Nursing Students' Psychological Wellbeing: Explained With Self-Compassion and Professional Self-Concept

Do academic advising and levels of support affect nursing students' mental health? A cross-sectional study

AIM

The current study aimed to identify the association between social support, academic advising and mental health disorders among nursing students.

BACKGROUND

Stress and workload can trigger multiple mental health disorders, especially for nursing students. Thus, academic advising and counselling help support students with academic and mental health problems.

DESIGN

This cross-sectional study utilized online questionnaires in Egypt and Saudi Arabia.

METHODS

Multidimensional Scale of Perceived Social Support (MSPSS), Patient Health Questionnaire (PHQ-4) and the Student Academic Advising and Counseling Survey (SAACS) were utilized to measure social support, depression and anxiety and evaluation of academic advising and counselling services, respectively.

RESULTS

The study included 1134 nursing students (mean age of 20.3 years). Students with higher academic advising satisfaction were 37% less likely to experience depression (OR 0.63, 95% CI 0.46-0.85) and mental disorders (OR 0.68, 95% CI 0.50-0.94). Moderate family social support was associated with lower depression (OR 0.58, 95% CI 0.37-0.93) and mental disorders (OR 0.55, 95% CI 0.33-0.92).

CONCLUSION

Academic advising and social support can mitigate mental health disorders among nursing students. These findings will help nurses and post-secondary providers develop strategies to support nursing students during difficult times.

Sociocultural and perceived public image of nurses among nursing students: the mediating role of self-concept

BACKGROUND

Studying the public perception of nurses among nursing students is vital in establishing strategic solutions to recruit and retain more students in nursing programs and to contain nurses in the health care system.

AIM

This study aimed to determine the mediating role of self-concept in the relationship between sociocultural and perceived public image of nurses.

METHODS

This study employed a correlational approach using convenience sampling of 1390 participants. This study was conducted at six large universities in three regions of Saudi Arabia (central, northern, and eastern). Student nurses in their second to fourth years of study were included as participants, with an 89.7% response rate. Data were collected from January to April 2023.

RESULTS

A significant positive relationship was observed between sociocultural factors and self-concept (r = .685, p = .0001). In addition, there was a significant positive relationship between self-concept and public image (PI) (r = .352, p value = 0.0001). Furthermore, there was a significant positive relationship between sociocultural and public image (r = .456, p = .0001); sociocultural had a direct effect on self-concept (β = 0.324, SE = 0.098, t = 9.429, p < .0001) and public image (β = 0.605, SE = 0.038, t = 22.617, p < .0001). Furthermore, sociocultural had an indirect effect on public image through self-concept (H6) (β = 0.389, SE = 0.123, t = 12.766, p < .0001).

DISCUSSION

The study findings suggest that nursing school programs should take measures to foster a supportive environment that promotes self-concept and public image, while also being mindful of the sociocultural background. This would also open the scope for further research on the matter involving multiple centers.

CONCLUSIONS

This study suggests the need for programs to boost self-concept and public image that consider sociocultural influences. These 'findings have crucial implications for student nurses' social and psychological wellbeing as they improve the understanding of how sociocultural affects self-concept and public image.

Thriving psychological well-being in undergraduate nursing student: a grounded theory study with the life grid approach

BACKGROUND

Psychological well-being (PWB) plays a vital role in successful adaptation to the Bachelor of Nursing journey and affects career development. However, there is little known about the functional and social processes associated with enhancing well-being specific to the subjective perspective of nursing students.

AIM

To investigate how nursing students promote their psychological well-being to conceptualize thriving psychological well-being.

METHOD

This qualitative study analyzed and reviewed a life grid and semi-structured in-depth interviews of 20 Chinese Nursing graduates by investigators and participants, following Charmaz's constructivist grounded theory. The constant comparative method was used to analyze data. This study took place between 2020 and 2022.

RESULTS

All participants experienced fluctuations in psychological well-being. This study identified a new understanding of how nursing students enhance their psychological well-being. Thriving awareness was co-constructed as the core category and based on the relationship with a supportive environment, the thriving psychological well-being of nursing students is conceptualized.

CONCLUSIONS

It is imperative to enhance the psychological counseling and support for nursing students during their clinical placements, during the period just entering university as well as after repeated outbreaks of COVID-19. Nursing educators and administrators could develop appropriate educational programs and interventions based on the theoretical model-Thriving psychological well-being.

Factors Related to Clinical Competence among Graduating Nursing Students during the COVID-19 Pandemic: A Cross-Sectional Study

PURPOSE

This study investigated clinical competency, COVID-19-related anxiety, coping strategies, self-efficacy, and perceived stress among graduating nursing students during the COVID-19 pandemic.

METHODS

We conducted a cross-sectional survey. Participants were recruited from universities located in four major cities in South Korea. General demographic information, clinical competency, self-efficacy, perceived stress, COVID-19-related anxiety, and coping strategies were assessed using reliable questionnaires. Descriptive statistics, correlations, and multiple regression tests were used to analyze the data.

RESULTS

The mean clinical competency, self-efficacy, perceived stress, adaptive coping, and maladaptive coping were 138.16 ± 18.34, 83.85 ±14.02, 21.37 ± 5.79, 53.15 ± 4.64, and 30.98 ± 6.73, respectively. COVID-19-related anxiety was reported by 4.3% of participants. Clinical competency was significantly positively correlated with self-efficacy (r = .44, p < .001) and adaptive coping (r = .20, p = .035) and was significantly negatively correlated with maladaptive coping (r = .20, p = .035). The predictors of clinical competency were self-efficacy (β = .434, p < .001) and adaptive coping (β = .173, p < .039), which explained 23% of the variance in clinical competency.

CONCLUSION

Self-efficacy and adaptive coping strategies are significant predictors of clinical competence during the pandemic. Planning and implementing various curricular and non-curricular activities to increase senior students' self-efficacy and adaptive coping strategies will help prepare competent nursing graduates for the pandemic when they enter the nursing workforce.

Validation of the self-compassion scale in a sample of Italian special needs teacher

Introduction

Special needs teachers deliver crucial care to their students by showing a particular attitude toward them. However, they usually face stressful situations that negatively impact their capacity to support their students, often reporting higher levels of burnout compared to teachers from mainstream education. Self-compassion has been seen to function as a protective factor against teacher stress, enhancing their resilience and coping abilities.

Methods

The current study aimed to evaluate the factorial structure, reliability, and validity of the Self-compassion Scale (SCS) in a sample of Italian special needs teachers (R1). In addition, it was investigated whether the satisfactory internal reliability of the SCS is confirmed (R2). Finally, the validity of the SCS criterion was assessed, assuming that each of its subscales would be related to anxiety, measured with GAD-7, and with resilience, measured with the BRS (R3). A sample of 629 teachers was enrolled in this study and completed an online questionnaire.

Results

Overall, the confirmatory factor analysis showed good or acceptable indices of fit to the data supporting the use of SCS to measure self-compassion in Italian special needs teachers.

Discussion

The tool could be helpful for future research to start exploring the self-compassion dimension at school as a protective factor that may foster teachers' and, consequently, students' well-being.

Predicting nursing students' psychological well-being: network analysis based on a model of thriving through relationships

BACKGROUND

Psychological well-being plays a vital role in nursing students' mental health and affects their decisions to stay in the nursing profession, particularly during the COVID-19 outbreak. Close relationships are undeniably linked to psychological well-being, but it is unknown how the specific pathways through which close relationships are related to each other and which are most strongly linked to nursing students' psychological well-being.

AIMS

To explore the network structure, central and bridge factors among well-being characteristics, and predictors based on a model of thriving through relationships.

METHODS

A cross-sectional research design was used with a sample of undergraduate nursing students (531 participants from the Southwest part of China). We used a network model to analyze the network structure of perceived social support, mindfulness, self-integrity, self-compassion, professional self-concept, savoring, intentional self-regulation, non-relational self-expansion, relational self-expansion, attachment insecurity, and psychological well-being.

RESULTS

 A highly interconnected network of psychological well-being featured predictors and traits were formed. Node 8 (self-kindness), node 9 (self-judgment), and node 23 (non-relational self-expansion) were the predictors with the highest centrality in the network. Perceived social support and professional self-concept were most central in linking predictors to psychological well-being traits. Attachment insecurity was a non-supportive factor for predicting psychological well-being among female nursing students.

CONCLUSIONS

Interventions based on these supportive/non-supportive predictors, which operate on different psychological levels, hold promise to achieve positive effects on psychological well-being among nursing students.