Document Type: Original article
Department of Psychiatric Nursing, Tehran University of Medical Sciences, Tehran, Iran
Nursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran
Background: Nursing students are susceptible to a higher risk of depression. Recognition of depression, assertiveness and the relationship between them is important since if a relationship exists, probably enhancing the level of assertiveness can reduce depression in this high risk group. We aimed to investigate depression and assertiveness levels and the relationship between them in nursing students of Tehran University of Medical Sciences.Methods: The target population of this cross-sectional study was bachelor nursing students of Tehran University of Medical Sciences, as the largest and one of the most prestigious Iranian universities. For selecting samples, the convenience sampling method was used. Having no previous information about classes, the researcher selected the students from the courses held while the researcher was present for sampling at the faculty and studied all the students willing to participate in the study in selected classes. The questionnaire consisted of demographic information, Gambrill and Richey assertion inventory, and Beck’s depression inventory. SPSS software, version 16, was used to analyze the data. ANOVA and independent samples t test were used for as appropriated.Results: 55.6% of students indicated average and low levels of assertiveness and 38.7% were suffering from mild to severe depression. Pearson correlation test showed a significant inverse relationship (r=0.314 and P<0.001) between assertiveness and depression. There were significant relationships between depression and interest in the field of study (P=0.001) and between assertiveness and gender (P=0.035). Conclusion: There was an inverse significant relationship between depression and assertiveness among nursing students. We suggest a cohort study design that can determine the effect of these variables on each other completely.