Predicting Social Health Based on Alexithymia Components in Municipal Employees

This study was conducted to predict social health based on alexithymia components.
The study method was descriptive-correlative and the study population was all employees of 22 District of Tehran Municipality that 120 staff were selected as study sample by using convenience sampling. The instruments of study were Keyes Social Health Questionnaire (2004) and Toronto Alexithymia Scale (1986). Data analyzed by using descriptive statistic, Pearson correlation and multiple regression.
The results of Pearson correlation indicated that social health had significant and negative relationship with all component of alexithymia (difficulty identifying feelings, difficulty describing feelings and externally oriented thinking). Also multivariate regression analysis demonstrated that among the alexithymia components only difficulty in identifying feelings could significantly predict social health.
With regard to negative significant relationship between alexithymia and social health, by using appropriate treatment strategies for alexithymia we can promote social health.