Correlation between multiple health indicators and hyperuricemia:a cross-sectional analysis of aircrew and general population
XU Jiali
SU Yuting
WANG Han
YAO Zihui
LIU Sanli
WANG Xiaocheng
Abstract：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.
Keywords：hyperuricemiauric acidaircrewprevalence rateBMIliver functioncross-sectional studylogistic regression modellinear regression model
Publication Date：2026-01-31
Online Publishing Date：2026-08-26(First online date of this platform, not the publication date of the document)
Pages：6( 62-67 )