目的·分析浙江省宁波市杭州湾地区成年人群高尿酸血症（hyperuricemia，HUA）的患病率，并探讨其与代谢综合征（metabolic syndrome，MS）及MS组分的相关性。方法·采用横断面研究设计，纳入2022年1月至12月于宁波市杭州湾医院进行健康体检的成年人作为研究对象。收集人口学资料及临床检查结果。根据血清尿酸（serum uric acid，SUA）水平计算该人群的HUA患病率；采用慢性肾脏病流行病学协作组公式计算估算肾小球滤过率（estimated glomerular filtration rate，eGFR）；根据体质量指数（body mass index，BMI）、血压、空腹血糖、甘油三酯（triglyceride，TG）、高密度脂蛋白胆固醇（high-density lipoprotein cholesterol，HDL-C）判断是否患有MS。分析HUA与MS及其各组分之间的关联。结果·研究共纳入9 196名成年人，平均年龄为（34.3±11.8）岁，男性占75.2%，平均SUA为（371.8±95.6）μmol/L，HUA患病率为31.3%。HUA组较非HUA组男性比例更高、年龄更小、eGFR更低、MS患病率更高（均P<0.001），且MS各组分中BMI、血压、TG水平均更高，HDL-C水平更低（均P<0.001）。MS患者的SUA水平及HUA患病率均显著高于非MS患者（均P<0.001），且随着患者伴随的MS组分数目增加，SUA水平及HUA患病率逐渐升高。多因素Logistic回归分析结果显示，男性（OR=3.74，95%CI 3.12~4.48）、年轻（年龄每减少5岁，OR=1.22，95%CI 1.19~1.26）、eGFR<90 mL/（min·1.73 m²）（OR=2.45，95%CI 2.11~2.84）、BMI≥25 kg/m²（OR=2.31，95%CI 2.06~2.60）、血压偏高（OR=1.18，95%CI 1.04~1.32）、TG≥1.7 mmol/L（OR=2.08，95%CI 1.81~2.37）及低HDL-C（OR=1.33，95%CI 1.15~1.55）是HUA的独立危险因素。结论·宁波杭州湾地区成年人群中，HUA患病率较高；男性、年轻、肾功能下降、合并MS组分是该人群HUA患病的危险因素，且合并MS组分越多，患病率越高。

Objective ·To analyze the prevalence of hyperuricemia (HUA) and its correlation with metabolic syndrome (MS) and MS components among adults in the Ningbo Hangzhou Bay area of Zhejiang Province. Methods ·A cross-sectional study was conducted among adults who underwent health examinations at Ningbo Hangzhou Bay Hospital from January to December 2022. Demographic data and clinical examination results were collected. The prevalence of HUA was calculated based on serum uric acid (SUA) levels. The estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. MS was defined according to body mass index (BMI), blood pressure, fasting blood glucose, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C). The association between HUA and MS, as well as its individual components, was analyzed. Results ·A total of 9 196 adults were included, with a mean age of (34.3±11.8) years; 75.2% were males. The mean SUA level was (371.8±95.6) μmol/L, and the overall prevalence of HUA was 31.3%. Compared with the non-HUA group, the HUA group demonstrated a higher proportion of males, younger age, lower eGFR, and a higher prevalence of MS (all P<0.001). Regarding MS components, the HUA group showed significantly higher BMI, blood pressure, and TG levels, along with lower HDL-C levels (all P<0.001). Patients with MS had significantly higher SUA levels and a higher prevalence of HUA compared to those without MS (both P<0.001). Furthermore, both SUA levels and the prevalence of HUA increased progressively with the increasing number of MS components present. Multivariable Logistic regression analysis identified male sex (OR=3.74, 95%CI 3.12‒4.48), younger age (per 5-year decrease, OR=1.22, 95%CI 1.19‒1.26), eGFR<90 mL/(min·1.73 m²) (OR=2.45, 95%CI 2.11‒2.84), BMI≥25 kg/m² (OR=2.31, 95%CI 2.06‒2.60), elevated blood pressure (OR=1.18, 95%CI 1.04‒1.32), TG≥1.7 mmol/L (OR=2.08, 95%CI 1.81‒2.37), and low HDL-C (OR=1.33, 95%CI 1.15‒1.55) as independent risk factors for HUA. Conclusion ·The prevalence of HUA is high among the adult population in the Ningbo Hangzhou Bay area. Male sex, younger age, decreased renal function, and the presence of MS components are risk factors for HUA in this population, with the prevalence increasing as the number of MS components accumulates.