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Analysis Study Research Paper | Health and Medical Sciences | India | Volume 12 Issue 9, September 2023
To Correlate our Proprietary Metabolic Score with Clinical Biomarkers of Metabolic Health: Metabolic Insights from Glucose Variability, Time in Range and Average Glucose Scores
Abstract: The study delves into the correlation between Actofit's Metabolic Score and clinical biomarkers of metabolic health in individuals with diabetes. This Metabolic Score draws from metrics like glucose variability, average glucose, and time in target. Notably, a strong positive correlation emerges between the Metabolic Score and the Quality of Life Instrument for Indian Diabetes Patients (QOLID) score, both before and after treatment. These findings suggest that elevated Metabolic Scores align with improved quality of life. This research accentuates Actofit's potential in prognosticating metabolic health, steering behavioral shifts, and guiding individualized interventions. These discoveries foster more precise health evaluations and the formulation of efficacious health strategies. The pursuit and sustenance of metabolic health hold pivotal importance for holistic well - being. This article deeply delves into the significance of diverse metrics in appraising metabolic health. The spotlight is cast on parameters such as glucose variability, spikes, crashes, and average glucose values. These aspects wield a critical influence on diabetes management and broader health consequences. Glucose variability, which mirrors oscillations in daily glucose levels, is intertwined with oxidative stress and plausible health hazards. Excessive glucose spikes, surpassing recommended thresholds, can trigger metabolic irregularities and hasten aging processes. Conversely, glucose crashes signify episodes of hypoglycemia. The article accentuates the significance of upholding an optimal average glucose score and maximizing time spent within the targeted glucose range. Furthermore, the article introduces the electronic HbA1C (eHbA1C) as a valuable instrument for real - time evaluation of glucose control. Proficiency in understanding these metrics empowers individuals to judiciously navigate decisions that optimize their metabolic well - being.
Keywords: Actofit, Metabolic Score, clinical biomarkers, metabolic health, diabetes, glucose variability, average glucose, time in target, Quality of Life Instrument for Indian Diabetes Patients (QOLID), behavior change, personalized interventions, health assessments, diabetes management, glucose response, physical activity, personalized health interventions, metabolic health, glucose variability, glucose spikes, glucose crashes, average glucose score
Edition: Volume 12 Issue 9, September 2023,
Pages: 105 - 112