Background & Aim: Attachment styles are among interpersonal resources that can help to reduce stress levels in adverse conditions and decrease the negative impact of stress. Attachment styles are important in predicting mental health. Therefore, the main purpose of this study was to study the relationship between attachment styles and mental health among nurses. Material & Methods: It was a descriptive-correlational study. The research population included all nurses in Shahreza Amir Almomenin Hospital. Using Cochran formula, 114 nurses were selected by simple random sampling method. To gather data, two questionnaires were used including general health questionnaire (GHQ) and adult attachment inventory (AAI). Data was analyzed by inferential statistics (ANOVA, t-test and Regression analysis) using SPSS-PC (v. 19). Results: The finding showed that the mean score of secure attachment style (3.2±0.70) was higher than hypothesized average (3) and avoidant (2.54±0.76) and insecure ambivalent attachment (2.62±0.77) were lower than hypothesized average (3). Also mean scores of physical symptoms (9.43±4.46), anxiety (9.00±5.69) and social symptoms (13.14±3.56) were higher than cutoff point (6) but depressive symptoms (4.58±3.33) were lower than cutoff point (6). The findings also revealed that the mean score of nurses' mental health (36.3±11.30) was higher than cutoff point (23). Conclusion: The results of the study showed that attachment styles play a key role in nurses' mental health. The findings also revealed that only ambivalent attachment style had the ability to predict mental health.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.