Department of Cardiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
School of Mathematical Sciences, Dalian University of Technology, Dalian, China.
Front Endocrinol (Lausanne). 2020 Oct 6;11:573452. doi: 10.3389/fendo.2020.573452. eCollection 2020.
Although obesity is a well-known risk factor for hyperuricemia, it remains unclear whether obese subjects with metabolically healthy status have a decreased the risk of hyperuricemia and whether sex modifies the association of metabolically healthy obesity (MHO) with hyperuricemia risk. We aimed to investigate the sex-specific association between MHO and other obesity phenotypes and hyperuricemia, and to use Bayesian networks to determine and visualize the interactions among hyperuricemia and its related factors.
This study was conducted using data from the China Health and Nutrition Survey 2009. Hyperuricemia was defined as serum uric acid ≥ 420 μmol/L in men and ≥ 360 μmol/L in women according to the guidelines. Body mass index (BMI) was used to define normal weight, overweight, and obese status in subjects, and metabolic health state was defined by the Adult Treatment Panel (ATP)-III and Visceral Adiposity Index (VAI) criteria, respectively. Subjects were categorized into six phenotypes according to their metabolic health and BMI level status.
Of the 7,364 Chinese adult individuals included, the prevalence of hyperuricemia among MHO women was only 8.5% (95% CI 4.8 to 14.3%), but increased to 30.7% among MUO women, whereas the highest prevalence among men was found in the MUOW phenotype (39.4%, 95% CI 35.4 to 43.6%), compared to 15.4% for male subjects with MHO. After adjusting for confounders, the MHO phenotype was significantly associated with an increased risk of hyperuricemia compared with their MHNW counterparts in women (OR: 1.95, 95% CI: 1.02-3.74) whereas a significant association was not found in men (OR: 1.46, 95% CI: 0.8-2.68). A complex network structure was established by BNs and then used to find connections between hyperuricemia and its related factors, as well as their interrelationships. By using BN reasoning, the probability of having hyperuricemia was 0.076 among MHO men, while it reached 0.124 in MHO women.
In conclusion, our results demonstrated that the MHO phenotype was significantly associated with the risk of hyperuricemia only in women, not in men. This sex-specific differences in the association may suggest a favorable condition of MHO for Chinese men with respect to hyperuricemia risk, meanwhile more attention should be paid to the increased risk of hyperuricemia among MHO women.
肥胖是高尿酸血症的已知危险因素,但代谢健康的肥胖者发生高尿酸血症的风险是否降低尚不清楚,性别是否会影响代谢健康肥胖(MHO)与高尿酸血症风险之间的关联。我们旨在研究 MHO 与其他肥胖表型和高尿酸血症之间的性别特异性关联,并使用贝叶斯网络来确定和可视化高尿酸血症及其相关因素之间的相互作用。
本研究使用了中国健康与营养调查 2009 年的数据。根据指南,男性血清尿酸≥420μmol/L,女性血清尿酸≥360μmol/L定义为高尿酸血症。体重指数(BMI)用于定义受试者的正常体重、超重和肥胖状态,代谢健康状态分别根据成人治疗小组(ATP)-III 和内脏脂肪指数(VAI)标准定义。根据代谢健康和 BMI 水平状态,将受试者分为六种表型。
在纳入的 7364 名中国成年人中,MHO 女性高尿酸血症的患病率仅为 8.5%(95%CI 4.8 至 14.3%),但 MUO 女性的患病率上升至 30.7%,而男性患病率最高的表型是 MUOW 表型(39.4%,95%CI 35.4 至 43.6%),而 MHO 男性的患病率为 15.4%。在调整混杂因素后,与 MHNW 相比,女性的 MHO 表型与高尿酸血症风险增加相关(OR:1.95,95%CI:1.02-3.74),而男性无显著相关性(OR:1.46,95%CI:0.8-2.68)。通过 BNs 建立了一个复杂的网络结构,然后用于发现高尿酸血症与其相关因素之间的联系,以及它们之间的相互关系。通过使用 BN 推理,MHO 男性发生高尿酸血症的概率为 0.076,而 MHO 女性则为 0.124。
总之,我们的研究结果表明,MHO 表型与女性高尿酸血症风险显著相关,而与男性无关。这种关联的性别特异性差异可能表明,对于中国男性来说,MHO 对高尿酸血症风险是有利的,同时,应更加关注 MHO 女性高尿酸血症风险的增加。