Investigate the Prevalence of Depression and its association with Demographic variables in Employees Print

Depression is one of the most costly diseases of the labor force. Complications of depression has been proved on work absenteeism rates, accurate measurement of individual tasks and Employee Efficiency. This study was conducted with aimed to investigate the depression and its association with demographic variables in the employees of Isfahan University of Medical sciences in 1392. This is a descriptive - cross-sectional correlation study that was implemented in 1392. 405 employees from Isfahan University of Medical sciences were randomly chosen. Data gathering tool included demographic information form and Beck depression (version-II) questionnaire. The data was analyzed by descriptive statistics, Pearson and Spearman correlation coefficients, student t-Test and Multiple linear regressions with stepwise method applying SPSSv18 software. According to the results of this study 45.92% of the employees were suffering from depression. They were identified as 28.39% with low depression, 15.30% with moderate depression, and 2.22% with severe depression. A significant correlation was found between depression with education level (p=0.002) and work site (p=0.01), but that there was no statistically significant relationship between depression with age, sex, marital status, years of service and type of residence. The results of stepwise regression analysis indicated that the education level in the first model and work site in the second model were regularly the best predictions of the employee's depression, whereas they explained totally 25.7% of the variance of employee's depression. This study showed a high prevalence of depression in employees. Encouraging teamwork, participate the employees in decision-making, supported employment, reduce conflicts and job ambiguities as well as increased job control events with development centers of consultation sessions in university are the helpful measures suggested to control and reduce depression.