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Scholars Journal of Applied Medical Sciences | Volume-11 | Issue-10
Relationship between Lipid Profile and Serum Uric Acid in Non-Hypertensive Non Diabetic Adults
Mostafa, M. N, Jahan, I, Rashid, H. O, Saha, R, Khan, F. N
Published: Oct. 13, 2023 | 135 101
DOI: 10.36347/sjams.2023.v11i10.007
Pages: 1801-1806
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Abstract
Background: The study aimed to investigate the relationship between lipid profiles and serum uric acid levels in a specific population of non-hypertensive, non-diabetic adults. The focus was on understanding how these biochemical markers interact in individuals without major comorbidities, which are often confounding factors in such studies. Methods: This cross sectional observational study was conducted with a total of 172 participants recruited from the OPD of CMH, Cumilla. Data were collected on demographic characteristics, anthropometric measurements, and vital signs. Blood samples were analyzed for lipid profile and serum uric acid levels. Bivariate correlation and linear regression analyses were employed to explore the relationships between the variables. Result: The mean age was 33.33 years (SD ± 9.41), with 38.37% aged between 21-30 and 40.70% between 31-40. Gender was balanced with 53.49% males. The mean BMI was 27.22 (SD ± 4.18), with 46.51% overweight and 27.91% obese. For cholesterol, 44% had normal levels, 38.1% borderline high, and 17.9% high. LDL levels were high in 50.6% of participants. Serum uric acid was normal in 95.2% of participants. Pearson correlation showed strong positive correlation between cholesterol and LDL (r = .756, p < 0.001). Linear regression revealed a positive association between cholesterol and serum uric acid (Beta = 0.403, p = 0.046) and a negative association with HDL (Beta = -0.345, p = 0.007). Conclusion: The study provided a nuanced perspective on the relationship between lipid profile and serum uric acid levels in non-hypertensive, non-diabetic adults. The findings suggest that the relationship is complex and may be influenced by various factors, including age, gender, and overall metabolic health. Despite limitations such as a small sample size and the exclusion of individuals with metabolic disorders, the study offers valuable insights that warrant further investigation in a more diverse population.