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India has around 101 million people living with diabetes and another 136 million in the prediabetes stage with a significant majority remaining undiagnosed. Lifestyle factors, such as insufficient physical activity, sedentary behavior, and poor dietary patterns, contribute to the development of type 2 diabetes. Innovative solutions are needed to aid patients in effectively managing their health. The study aimed to evaluate the efficacy of the Lifestyle Score Calculator, integrated into the BeatO mobile application, in promoting positive lifestyle changes among individuals managing diabetes. The study included 908 active users with diabetes who used the BeatO application for lifestyle score assessments at least four times between August 1, 2023, and January 30, 2024. In their initial assessment, 21% of patients were classified as having low lifestyle scores, 51% as medium, and 29% as high. Transition analysis revealed significant improvements over time, with 83% of patients initially categorized with a low lifestyle score successfully moving up to higher categories. Category-specific analysis showed notable improvements in eating and drinking habits, physical activity levels, blood glucose management, and medication adherence. The findings demonstrate the effectiveness of the Lifestyle Score Calculator in fostering positive transitions across lifestyle categories, particularly among those with initially lower scores. These results affirm the potential of personalized interventions based on lifestyle scores to facilitate sustained positive lifestyle changes among individuals managing diabetes. Further research and continuous monitoring are needed to understand the long-term impact of these interventions and refine personalized diabetes management strategies.
Research Article
Abstract
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Non-alcoholic fatty liver disease (NAFLD) is the commonest chronic liver disease. It is characterized by a wide range of symptoms like fatigue, pain, or dullness in the upper right quadrant of the abdomen or none at all. The risk factors linked to NAFLD are type 2 diabetes mellitus (T2DM), obesity, and genetic predisposition. In this study, the clinical, biochemical, and ultrasonography findings were compared in NAFLD patients with and without T2DM. The liver elastography (FibroScan) measured liver stiffness (LSM), and the liver fibrosis index 4 (FIB-4) were both significantly higher in diabetic patients. The controlled attenuation parameter (CAP) was not statistically significant when compared in the two groups. There was a significant negative correlation between FIB-4 and platelet counts in both groups; p = 0.006 in non-diabetics and p = 0.001 in diabetics. There was a significant positive correlation between FIB-4 and aspartate aminotransferase (AST) in the non-diabetic group only. The non-invasive diagnostic and prognostic markers of NAFLD that are LSM, and FIB-4 are more reliable than inflammatory markers. Though the dietary habits, anthropometric measurements, and physical activity were not different and did not pose risk factors in our population, we need to study the genetic and epigenetic factors in our population.
