Prediction of Anxiety and Depression Prevalence According to Identity Status Among Public Library’s Employees of Golestan Province

Abstract

Identity is a component of personality that can help people to use proper coping strategies through crisis circumstances. The purpose of present study was to predict anxiety and depression prevalence according to identity statuses among public library’s employees of Golestan Province. This descriptive and correlational study was performed in 96 public library’s employees in Golestan Province during 2014.Objective Measure of Ego Identity Status(OMEIS) and Depression Anxiety Stress Scale(DASS) were used as measurement instruments. Data analysis was performed using SPSS software, Multivariate Regression by stepwise method and Pierson correlation. Study on identity statuses and anxiety showed elevated anxiety scores for those in the foreclosure and diffusion identity statuses and elevated depression scores among those in the moratorium and diffusion Identity statuses. Findings indicate that prevalence of depression are predictable according to moratorium and diffusion identity statuses and anxiety prevalence are predictable according to foreclosure and diffusion identity statuses.