Understanding the mediated relationship between moral distress, depression, and suicide risk in undergraduate nursing students
- PMID: 37054498
- PMCID: PMC10523863
- DOI: 10.1016/j.outlook.2023.101966
Understanding the mediated relationship between moral distress, depression, and suicide risk in undergraduate nursing students
Abstract
Background: Nursing students are at higher risk for depression, suicide, and other mental health concerns as compared to the general college student population. Moral distress and other ethical issues may be a significant source of psychological harm within nursing student experiences and warrants further attention.
Purpose: The purpose of this study was to understand the mediating effect of depression on the relationship between moral distress and suicide risk among undergraduate nursing students.
Methods: This cross-sectional analysis was derived from a larger sequential mixed methods study. The first phase was an online survey completed by a national sample of N = 679 nursing students in the United States.
Findings: The relationship between moral distress and suicide risk was fully mediated by depression and statistically significant at the alpha = 0.05 level.
Conclusion: All three psychological variables (depression, moral distress, suicide risk) impact nursing students and require innovative solutions within nursing and educational programs.
Keywords: Depression; Mental health; Moral distress; Nursing students; Suicide risk.
Copyright © 2023 Elsevier Inc. All rights reserved.
Figures
References
-
- American Nurses Association (ANA). (2021). National Commission to Address Racism in Nursing. Report Series: Racism in Nursing. Report #3 of 6: “How does racism in nursing show up in the education space?” https://www.nursingworld.org/~49b97e/globalassets/practiceandpolicy/work...
-
- American Psychiatric Association (APA). (2013). Diagnostic and statistical manual of mental disorders: DSM-5: Vol. 5. American Psychiatric Association Publishing.
-
- Brand JPL (1999). Development, Implementation and Evaluation of Multiple Imputation Strategies for the Statistical Analysis of Incomplete Data Sets. Erasmus University; Rotterdam. Retrieved from http://hdl.handle.net/1765/19790.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical