Survey of Quality of Life and Influencing Factors in Alborz University of Medical Sciences Staff

Abstract

Background & Aims: Quality of life is a concept beyond the physical health. It is an important index in health research that its independent quantification as an important outcome is essential. Work environment consists of physical, mental and social stimuli and each of these factors can cause stress. These stresses and pressures have inappropriate effects on physical–emotional welfare, health and its function. Therefore, this study was performed on the Faculty of Medicine of Karaj staffs in 1390 to investigate their quality of life and the governing factors. Materials and Methods: In this descriptive and sectional study, a group of 100 of Faculty of Medicine and of Alborz University of Medical Sciences employees were participated. Sampling was done as census. Data collection was performed by means of the questionnaire of standard of quality of life (WHOQOL-BREF) and the questionnaire of demographic information collected. Results: The results show that 51 percent of the employees have reported their quality of life in the average range and 6% in poor range. Furthermore, in the physical aspect of quality of life, 34% of the results are good, 59% moderate and the remaining 7% are poor. Likewise, in the quality of life from psychological aspect, 33% of the results are good, 64 percent moderate, and only 3% are poor. The data for the social relationships aspect are 28% good, 59% moderate, and 13% poor. Finally, in the quality of life from environmental health aspect, 36% of the staffs reported good, 55% moderate, and 9% poor condition. Pearson’s test results show that there is a meaningful correlation between the quality of life and the lower number of children, and also increasing years of service (P=0.00). However, the quality of life does not show any significant relationship with age and income. ANOVA test results indicate that there is a significant relationship between quality of life and the type of employment (P=0.017). Conclusion: Quality of life for the majority of the staffs is average and the factors such as number of children, years of service and earnings type of employment is affected on quality of life.