IMPACT OF SOVA HEALTH PRECISION NUTRITION PROGRAM ON METABOLIC PARAMETERS IN TYPE 2 DIABETES AND DYSLIPIDEMIA - A RETROSPECTIVE STUDY

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Purpose: This retrospective study is aimed at evaluating the impact of the Sova Health Precision Nutrition Program (digital remote outpatient care program) on HbA1C, fasting blood sugar and lipid parameters over a period of 90 days. Additionally, the concurrent changes in anthropometric measurements, subjective improvements in quality of life were also assessed. Methods: A cohort of 75 participants with type 2 diabetes and dyslipidemia was included in the Sova Health Precision Nutrition Program over a period of 90 days. 70 participants participated fully in the program with all the relevant criteria being fullled. This study assessed changes in primary outcomes for Blood Glucose Parameters- HbA1C (%) and Fasting glucose (mg/dL), as well as Lipid parameters- Triglycerides (mg/dL), Total cholesterol (mg/dL), High density lipoprotein (HDL) (mg/dL), Low density lipoprotein (LDL) (mg/dL). Secondary outcome measures included anthropometric measures weight (in kg) and waist circumference (in inches) and subjective parameters including energy levels (1-10 scale) and sleep quality (1-10 scale). Paired samples t-test was used to measure whether the change in all the above parameters was signicant from baseline to 90 days. Results: Signicant improvements were observed in participants' HbA1C (6.9 ± 1.6% to 6.4 ± 1%) and Fasting glucose levels (118.9 ± 50 mg/dl to 107.7 ± 38.1 mg/dl), Total Cholesterol (237.7 ± 27.4 mg/dL to 209.5 ± 32.5 mg/dL), LDL cholesterol (142.94 ± 28.9 mg/dl to 129.9 ± 29.1 mg/dl) and Triglycerides (235.4 ± 143.1 mg/dL to 178.3 ± 81.3 mg/dL) on average. Anthropometric measures like Weight (78.9 ± 16.3 kg to 76.2 ± 16.1 kg) and Waist circumference (39.9 ± 4.6 inches to 37.9 ± 4.7 inches) saw a signicant reduction. Energy Levels and sleep quality also improved signicantly. Conclusion: The Sova Health Precision Nutrition Program has demonstrated a signicant role in the improvement and management of metabolic parameters in participants with Type 2 diabetes and dyslipidemia. Further, improvement in anthropometric measures and quality of life was also noted.