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The dose-response relationship and gender differences of serum uric acid with total cholesterol: a cross-sectional study

医学 尿酸 横断面研究 内科学 胆固醇 总胆固醇 内分泌学 生理学 病理
作者
Leilei Guo,Lina Cai,Hu Li,Yueshan Zhou
出处
期刊:Journal of International Medical Research [SAGE]
卷期号:53 (2)
标识
DOI:10.1177/03000605251318203
摘要

Objective To explore the dose-response relationship and gender differences between serum uric acid (SUA) and total cholesterol (TC) in Chinese individuals. Methods This cross-sectional study included secondary data of Chinese adults, collected between 2010 and 2018. The exposure variable was SUA, the outcome variable was TC, and participants were split into five quantiles by SUA levels (Q1 [men, ≤283; women, ≤223] to Q5 [men, ≥416; women, ≥332]). Covariates included age, gender, laboratory and examination information. Multivariable linear regression and subgroup analysis were performed to examine the independent association between SUA and TC. Smooth curve fitting and threshold effect analysis was employed to assess potential non-linear relationships. Additionally, a sensitivity analysis was conducted to validate the robustness of the findings. Results The analysis included 6119 participants, of whom, 4078 (66.6%) were female, with a mean age of 63.7 years. After adjusting for potential confounders, SUA showed a significant association with TC in both men (β = 0.09; 95% confidence interval [CI] 0.05, 0.14) and women (β = 0.13; 95% CI 0.10, 0.17). The Q5 group exhibited higher TC levels than the Q1 group in both men (β = 0.26; 95% CI 0.16, 0.37) and women (β = 0.25, 95% CI 0.17, 0.32). In women, there was an inverted L-shaped relationship between SUA and TC with an inflection point at 359.962 μmol/L, whereas a linear relationship was exhibited in men. Subgroup analysis showed no significant interactions in men. Sensitivity analyses confirmed the robustness of the findings. Conclusions Significant sex differences and dose-response relationships exist between SUA and TC in the Chinese population. The study may provide new insights into cholesterol management.
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