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
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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.
非高血压非糖尿病成人血脂与血清尿酸的关系
背景:本研究旨在调查非高血压、非糖尿病成人特定人群的血脂和血清尿酸水平之间的关系。重点是了解这些生化标志物如何在没有主要合并症的个体中相互作用,这些合并症通常是此类研究中的混淆因素。方法:本横断面观察性研究从Cumilla CMH的OPD招募了172名参与者。收集了人口统计学特征、人体测量值和生命体征的数据。分析血液样本的血脂和血清尿酸水平。采用双变量相关分析和线性回归分析来探讨变量之间的关系。结果:平均年龄33.33岁(SD±9.41),其中21 ~ 30岁占38.37%,31 ~ 40岁占40.70%。性别均衡,男性占53.49%。平均BMI为27.22 (SD±4.18),超重占46.51%,肥胖占27.91%。对于胆固醇,44%的人处于正常水平,38.1%的人处于高水平,17.9%的人处于高水平。50.6%的参与者LDL水平较高。95.2%的参与者血清尿酸正常。Pearson相关性显示胆固醇与LDL呈正相关(r = .756, p <0.001)。线性回归显示胆固醇与血清尿酸呈正相关(Beta = 0.403, p = 0.046),与HDL呈负相关(Beta = -0.345, p = 0.007)。结论:该研究为非高血压、非糖尿病成人血脂和血清尿酸水平之间的关系提供了一个微妙的视角。研究结果表明,这种关系是复杂的,可能受到各种因素的影响,包括年龄、性别和整体代谢健康。尽管存在样本量小和排除代谢紊乱个体等局限性,但该研究提供了有价值的见解,值得在更多样化的人群中进行进一步调查。
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