Predictor Risk of Diabetes Mellitus in Indonesia, based on National Health Survey

ABSTRACT

@# Diabetes mellitus which is estimated to continue to increase over time becomes a problem that needs to be immediately addressed by various related stakeholders. Knowing the risk factors associated with diabetes mellitus is considered the right way to minimize the number of diabetes in the world, especially Indonesia. Analysis of secondary data on the Indonesian Family Life Survey is expected to be the basis for taking appropriate policies in Diabetes Mellitus intervention in Indonesia. Methods: Cross sectional design based on secondary data from the Indonesian Family Life Survey V was conducted in this study to find the most influential risk for diabetic mellitus in Indonesia. Binary logistic regression analysis was used to simplify analyzing information from 30133 respondents aged > 18 years spread across 13 Provinces in Indonesia. The selection of respondents was based on the completeness of the information in the dataset provided by RAND as the dataset provider. The variables were analyzed in this study, included diabetes mellitus, cholesterol levels, gender, hypertension, overweight and age. Results: High cholesterol, hypertension and overweight were risks associated with diabetes mellitus in Indonesia. Of the three risks, overweight was the most significant risk (p = 0,000; OR 2,200; 95% CI 1,655 – 2,295). Conclusion: Striving for healthy living behaviours and periodic screening programs can reduce overweight rates because they can be detected quickly.