the association between mental health and quality of life: a cross-sectional study in a large sample of isfahan steal company’s employees

Introduction: investigating the quality of life and its determinants provides a general prospective about the health status and contributes in health planning. the present study aimed at investigating the relationship between mental health and quality of life, adjusting for the impacts of potential confounders in isfahan steal company’s employees. materials and methods: in a crosssectional study in 2016, 3063 people of isfahan steal company’s employees were selected through multistage cluster sampling and investigated. required information were obtained by eq-5d questionnaire for evaluating quality of life, ghq-12 questionnaire for evaluating mental health, ipaq questionnaire for evaluating physical activity, job stress questionnaire for evaluating job stress and demographic characteristics of study participants. latent class regression analysis with mplus7 software was used for data analysis. results:based on the results 95.4% of participants have normal mental health score. two classes were identified with latent class analysis based on quality of life; class 1 (good quality of life: 79.7%) and class 2 (poor quality of life: 21.3%). people with good mental health status had higher quality of life (p<0.0001); in which the direct significant association was observed between mental health and quality of life in crude model. after adjusting for the impacts of potential confounding variables the observed association was remained statistically significant which indicating that being in normal mental health level increases 4.25 times odds of beings in high quality of life class. conclusion: the present study provided valuable information about quality of life in industrial employees. this research showed that mental health has a significant association with quality of life. so, through improving the lifestyle, quality of life and life satisfaction would be increased.