Prediction of depression based on job satisfaction and quality of work life of employees

Subject Areas :

Seyedeh Forough Fathi ¹ , jaffar pouyamanesh ^{2 *}

1 - Department of Counseling, Abhar branch, Islamic Azad university, Abhar, Iran
2 - author

Received: 2024-10-02 Accepted : 2025-03-04 Published : 2025-03-17

Keywords: Keywords: depression, job satisfaction, quality of work life, IRICO Company,

Abstract :

Abstract Depression is one of the most common mental disorders in workplaces that can have negative effects on employees' productivity and mental health. The present research was conducted with the aim of predicting depression based on job satisfaction and quality of work life of the employees of Iranian Railway Industries Development Company (IRICO) in Abhar. This research is a correlational type in terms of its basic purpose and method. The statistical population of this research was all the employees of Iranian Railway Industries Development Company (IRICO), whose number of employees was 160, and 113 people were considered as a sample according to Morgan's table, who were selected from among the employees and by regular random sampling, and were tested on the Aaron Beck Depression Questionnaire (BDI) created in 1961, the Minnesota Job Satisfaction Questionnaire (MSQ) created in 1967, and Walton's Quality of Work Life (QWL) created in 1961. Made in 1973, they answered. Also, Kolmogorov-Smirnov test was used to check the normality of data distribution and linear regression analysis was used to predict depression based on two components of job satisfaction and quality of work life, and the data were analyzed by SPSS 27 software. The results obtained from the linear regression analysis indicate that the significance level of job satisfaction and the quality of work life are both 0.001 and less than the statistical error (0.05), that is, the considered regression model is significant and the job satisfaction of employees at a significant level (0.05) in about 40.4% and the quality of work life of employees at a significant level (0.05) in about 59.3% are able to predict the depression of employees of Irico company. These findings can be the basis of strategies to improve working conditions and reduce depression in organizations.

References:

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