| Abstrakt: |
Objective: In this study, we focus on path modelling to identify the risk factors of diabetes mellitus types 2. Risk factors considered were age, fasting glucose level, hypertension, BMI, systolic blood pressure, HDL cholesterol and family history of CHD (coronary heart disease). Design: Retrospective study design. Materials and Methods: Path analysis is the application of structural equation modelling without latent variable. This study was conducted using AMOS software to investigate the risk factor of diabetes mellitus types 2 based on specific indirect effect, and direct effects variables in the model. Results: From the results show the risk factors deemed to have a direct statistically significant effect on diabetes mellitus type 2 are HDL Cholesterol (-0.053, p = 0.015), Fasting glucose level (0.705, p = 0.001), Hypertension (0.058, p = 0.008) and BMI (0.059, p = 0.008). There are specific indirect effects on diabetes mellitus type 2 patients such as Family history of CHD (0.103, p = < 0.001), Systolic blood pressure (0.049, p = < 0.001), BMI (0.152, p = < 0.001) and hypertension (0.076, p = < 0.001). Conclusion: The findings of this study emphasize the need for attempts to prevent and early diagnose the disease focusing on the top modifiable factors that may increase the risk of diabetes mellitus type 2. [ABSTRACT FROM AUTHOR] |
