Study on the detection rate of fatty liver disease and its influencing factors among workers in an oil field
Objective To analyze the risk factors of fatty liver and explore the dose-response relationship of body mass index,blood lipid,and uric acid,providing a reference for its prevention and treatment.Methods A cross-sectional investigation was used to analyze the health examination data of employees in an oil field in northern Shaanxi in 2021.The binary logistic regression model and restricted cubic spline model were used to analyze the risk factors of fatty liver.Results In this study,a total of 1 995 subjects were collected,and 549 were detected fatty liver,the detection rate was 27.52％;The male detection rate was 35.55％,which was significantly higher than that(10.59％)of the(x2=135.982,P＜0.05);The detection rates of fatty liver in overweight and obese people were 38.66％and 78.34％,respectively,which were significantly higher than that(9.93％)of the normal weight population(x2=458.255,P＜0.05).The levels of blood glucose,lipid,uric acid,liver enzymology and other biochemical indexes in fatty liver group were higher than those in non-fatty liver group,with statistically significant differences(t=-16.89,-10.63,-7.15,-17.09,-5.21,-7.82,-18.05,-4.40,P＜0.05).Binary logistic regression analysis controlling for confounders showed the BMI,AST,TG,and HbA1c had significant influences on the detection of fatty liver(OR=5.32,29.90,12.98,2.78,and 4.01,respectively,P＜0.01).Moreover,the restrictive cubic spline model controlling for confounders showed a positive relationship between the BMI,FPG,LDL-C,and UA and the fatty liver.Obesity is the biggest contributor.Conclusion The risk of fatty liver among workers in an oil field in northern Shaanxi increased with the increase of BMI level.Fatty liver is closely related to the disorder of sugar and lipid metabolism.
Fatty liver diseaseBody mass indexRisk factorsRestrictive cubic spline model
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NSTL
万方数据
