Search

BackgroundIdentifying the risk factors leading to hypertension can help explain why some populations are at a greater risk for developing hypertension than others. The present study seeks to identify the causal paths among the risk factors of hypertension in 35- to 65-year-old participants in western Iran.MethodsThe secondary analysis was conducted using the data obtained in the recruitment stage of Ravansar Non-Communicable Disease (RaNCD) cohort. Each of the latent variables were confirmed by confirmatory factor analysis. Using Structural Equation Modeling (SEM), we assessed the direct and indirect effects of the risk factors associated with hypertension.ResultsSocioeconomic status (SES), physical activity, lipid profile, obesity, Diabetes and family history of hypertension had a diverse impact on the blood pressure, directly and (or) indirectly. When investigating the latent and observers risk factors and the interrelations between different risk factors, The standardized total effect (the sum of direct and indirect effects, βt) of SES, physical activity, lipid profile, obesity, on the blood pressure was( -0.09 vs -0.14), (-0.04 vs -0.04), (0.13 vs 0.13), (0.24 vs 0.15) in men and women respectively. Diabetes had a direct relationship with the blood pressure in women (0.03).ConclusionWith regard to control of high blood pressure, public health interventions must target obesity,SES, lifestyle and nutritional factors such as hyperlipidemia and hyperglycemia in Iranian population

Background Identifying the risk factors leading to hypertension can help explain why some populations are at a greater risk for developing hypertension than others. The present study seeks to identify the association between the risk factors of hypertension in 35- to 65-year-old participants in western Iran. Methods This cross-sectional study was conducted on 9705 adults from baseline data of Ravansar Non-Communicable Disease (RaNCD) cohort study, in the west region of Iran. Each of the latent variables were confirmed by confirmatory factor analysis. Using Structural Equation Modeling (SEM), we assessed the direct and indirect effects of factors associated with blood pressure. Results Socioeconomic status (SES), physical activity, mean of serum lipids, obesity, diabetes and family history of hypertension had a diverse impact on the blood pressure, directly and (or) indirectly. The standardized total effect of SES, physical activity, mean of serum lipids, and obesity were -0.09 vs. -0.14, -0.04 vs. -0.04, 0.13 vs. 0.13 and 0.24 vs. 0.15 in men and women, respectively. Diabetes had a direct relationship with the blood pressure in women (0.03). Conclusion With regard to control of high blood pressure, public health interventions must target obesity, lifestyle and other risk related to nutritional status such as hyperlipidemia and hyperglycemia in Iranian population and among those with higher SES.