DIGITAL APPLICATION FOR LIFESTYLE PROMOTION IN PREDIABETES MANAGEMENT: A CASE STUDY IN BANDUNG CITY
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Abstract
Background: Prediabetes is a condition where blood glucose levels are elevated but not high enough to be classified as diabetes. This condition is a significant global health challenge, especially in urban areas like Bandung. Effective prevention relies on lifestyle changes, which can be supported through accessible digital applications.
Objectives: To develop an accurate digital app model to support lifestyle changes in prediabetes and be able to differentiate well between various user groups.
Method: Data were collected from respondents regarding age, diabetes history, daily activity, and Body Mass Index (BMI). The model's effectiveness was assessed using Omnibus Tests of Model Coefficients, with accuracy evaluated through the Likelihood Ratio Test and ROC Curve analysis.
Results: The majority of respondents were under 45 years of old (88.1%) and female (72.2%). Most had no diabetes history (92.1%) and were active daily (71.4%), with normal BMI in 57.9% of participants. Model testing revealed significant outcomes, with a p-value of 0.00 and an Asymptotic Significance of 0.006, alongside a likelihood ratio value of 81.962, underscoring the model’s accuracy and reliability.
Conclusion: The developed digital application is both accurate and reliable for promoting lifestyle changes in prediabetes.
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