多种健康指标与高尿酸血症的相关性:基于飞行人员与普通人群的横断面分析OA

Objective To analyze the influencing factors of hyperuricemia(HUA)and changes in uric acid through a cross-sectional study of aircrew and the general population.Methods In 2024,a total of 412 individuals undergoing health examinations in a military unit were selected as research subjects by cluster sampling.Data on lifestyle,health status,and related indicators were collected.Correlation analysis was performed on physical health indicators,and further multiple-exposure models were used to analyze the influencing factors of HUA and uric acid levels.Results The overall prevalence of HUA among the 412 examinees was 31.8%,with a prevalence of 22.7%in aircrew and 32.3%in the general population.Correlation analysis of age,sleep duration,body mass index(BMI),and liver function indicators among all 412 participants showed that BMI was positively correlated with diastolic blood pressure(DBP),systolic blood pressure(SBP),alanine aminotransferase(ALT),and gamma-glutamyl transferase(GGT)(P<0.05),and negatively correlated with total bilirubin(TB)and direct bilirubin(DB)(P<0.05).Among the 390 individuals in the general population,BMI was positively correlated with DBP,ALT,and GGT(P<0.05),and negatively correlated with TB and DB(P<0.05).Among the 22 aircrew,correlation analysis revealed that age was positively correlated with ALT and alkaline phosphatase(ALP)(P<0.05),and negatively correlated with albumin(ALB)(P<0.05).BMI was positively correlated with DBP,ALT,ALP,and GGT(P<0.05),and negatively correlated with TB and DB(P<0.01).Uric acid was positively correlated with GGT(P<0.01).Logistic regression analysis was used to examine the association between HUA and human health indicators,and the OR(95%CI)was calculated and presented:BMI(P<0.01),ALT(P<0.01),aspartate aminotransferase(AST)(P<0.01),GGT(P<0.01),and total protein(TP)(P<0.05)were significantly positively correlated with the probability of HUA occurrence[BMI:1.23(1.12,1.34),ALT:1.03(1.02,1.04),AST:1.04(1.02,1.07),GGT:1.02(1.01,1.04),TP:1.07(1.01,1.13)].Linear regression analysis was used to examine the association between human health indicators(quartiles)and uric acid levels,and the β(95%CI)was calculated and presented:BMI(P<0.01),AST(P<0.01),ALT(P<0.01),ALP(P<0.05),and DB(P<0.05)in the fourth quartile were significantly correlated with uric acid levels[BMI Q4:0.16(0.06,0.26),AST Q4:0.15(0.06,0.25),ALT Q4:0.13(0.04,0.22),ALP Q4:0.13(0.03,0.22),DB Q4:-0.11(-0.21,-0.01)].GGT was significantly positively correlated with uric acid levels in the third quartile(P<0.01)and the fourth quartile(P<0.01)[GGT Q3:0.14(0.05,0.23),Q4:0.22(0.12,0.31)].Conclusion BMI and abnormal liver function indicators have a significant impact on uric acid levels,and a higher DB level may be a protective factor against HUA.