identifying factors associated with hypertension using structural equation modeling: a population-based study

Objectives: hypertension is a global major health challenge and mechanisms related to the risk factors associated with it are poorly understood. therefore, we used structural modeling to test a hypothesized model to identify factors associated with hypertension. methods: a cross-sectional population based survey, was performed and the data related to a random representative sample of 9704 subjects of mashad study were used. then, we determined the relationship between risk factors for hypertension using structural equation modeling technique. the data were analyzed using amos v. 22. results: the conceptual model was validated by goodness of fit indexes (cfi=0.939, tli=0.908, nfi=0.935, rmsea=0.04, srmr=0.037). obesity and lack of physical activity had the greatest impact on blood pressure. discussion: findings show evidences to confirm the conceptual model considered in the risk factors for hypertension that can be helpful in policies for preventing hypertension and consequently, the disabilities that arise from it.