پیشگویی کننده های کیفیت زندگی در رابطین سلامت مراکز بهداشتی درمانی جنوب تهران

Background and Aim: Quality of life is considered as an effective indicator for general, as well as mental, health. With increasing longevity of individuals, health-promoting behaviors and rising quality of life will become much more important. This study aimed to determine the quality of life predictors among health volunteers in South Tehran Health Centers. Materials and Methods: : This cross-sectional study was conducted on 200 health volunteers of South Tehran Health Centers selected by cluster sampling. Data were collected using valid and reliable questionnaires for demographic variables, Health-promoting Behaviors (HPLPII) and Quality of life (SF-36), as well as the BAZNEF model constructs, whose validity and reliability were assessed (α: %88). Data analysis was done using the SPSS24 software, the statistical tests being descriptive statistics and multi-linear regression; a p-value <0.05 was used to show statistical significance. Results: Regression analysis revealed that the strongest predictors for the quality of life were  age (p=0.003), enabling factors (p=0.02) and general health-promoting behaviors (p<0.001). Conclusion: The findings of this study confirm the suitability of the BAZNEF model for predicting health-promoting behaviors for the quality of life. Using this model can help in identifying factors influencing the quality of life of health volunteers and designing an appropriate educational program for them.